Microsoft Research Asia - Shanghai - Microsoft Research: Publications

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Microsoft Research Asia – Shanghai

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- AVA: Towards Agentic Video Analytics with Vision Language Models
  
  Yuxuan Yan, Shiqi Jiang, Ting Cao, Yifan Yang, Qianqian Yang, Yuanchao Shu, Yuqing Yang, Lili Qiu
  
  23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI’26)) | October 2025
  
  Publication
- MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention
  
  Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICML 2025 | July 2025
  
  Preprint Github 项目
- Screen Reader Users in the Vibe Coding Era: Adaptation, Empowerment, and New Accessibility Landscape
  
  Nan Chen, Luna K. Qiu, Arran Zeyu Wang, Zilong Wang, Yuqing Yang
  
  ArXiv | June 2025, 第 abs/2506.13270 卷
  
  DOI Publication Publication
- VoLUT: Efficient Volumetric Streaming Enhanced By LUT-Based Super-Resolution
  
  Yifan Yang, Lili Qiu, Yuqing Yang, Xinyang Jiang
  
  The Eighth Annual Conference on Machine Learning and Systems | May 2025
  
  Publication
- Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices
  
  Qipeng Wang, Shiqi Jiang, Yifan Yang, Ruiqi Liu, Yuanchun Li, Ting Cao, Xuanzhe Liu
  
  IEEE Transactions on Mobile Computing (TMC) | April 2025, pp. 1-18
  
  Publication
- Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment
  
  Gaole Dai, Shiqi Jiang, Ting Cao, Yuanchun Li, Yuqing Yang, Rui Tan, Mo Li, Lili Qiu
  
  March 2025
  
  Preprint
- Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
  
  Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li
  
  2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | January 2025, pp. 10610-10620
  
  DOI Publication Publication
- SCBench: A KV Cache-Centric Analysis of Long-Context Methods
  
  Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICLR 2025 | December 2024
  
  Preprint Github 项目
- MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
  
  Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
  
  NeurIPS 2024 | December 2024
  
  spotlight
  
  Preprint Github 项目
- GPMS: Enabling Indoor GNSS Positioning using Passive Metasurfaces
  
  Yezhou Wang, Hao Pan, Lili Qiu, Linghui Zhong, Jiting Liu, Ruichun Ma, Yi-Chao Chen, Guangtao Xue, Ju Ren
  
  MobiCom 2024 | December 2024
  
  Publication
- GPSense: Passive Sensing with Pervasive GPS Signals
  
  Huixin Dong, Minhao Cui, Ning Wang, Lili Qiu, Jie Xiong, Wei Wang
  
  MobiCom 2024 | December 2024
  
  Publication
- MicroSurf: Guiding Energy Distribution inside Microwave Oven with Metasurfaces
  
  Yiwen Song, Hao Pan, Longyuan Ge, Lili Qiu, Swarun Kumar, Yi-Chao Chen
  
  December 2024
  
  Publication
- LORASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning
  
  Yifan Yang, Yifei Shen, Yuqing Yang, Lili Qiu, Fangyun Wei
  
  2024 Empirical Methods in Natural Language Processing | November 2024
  
  Publication
- LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation
  
  Weiquan Huang, Aoqi Wu, Yifan Yang, Xufang Luo, Yuqing Yang, Liang Hu, Qi Dai, Xiyang Dai, Dongdong Chen, Chong Luo, Lili Qiu
  
  November 2024
  
  Publication Github 项目
- Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling
  
  Hao Wu, Donglin Bai, Shiqi Jiang, Qianxi Zhang, Yifan Yang, Ting Cao, Fengyuan Xu
  
  October 2024
  
  DOI Publication Publication 项目
- AdaWiFi, Collaborative WiFi Sensing for Cross-Environment Adaptation
  
  Naiyu Zheng, Yuanchun Li, Shiqi Jiang, Yuanzhe Li, Rongchun Yao, Chuchu Dong
  
  IEEE Transactions on Mobile Computing | October 2024
  
  Publication
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
  
  Siyun Zhao, Yuqing Yang, Zilong Wang, Zhiyuan He, Luna K. Qiu, Lili Qiu
  
  September 2024
  
  Publication
- Anatomizing Deep Learning Inference in Web Browsers
  
  Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu
  
  ACM Transactions on Software Engineering and Methodology | August 2024
  
  Publication
- VisEval: A Benchmark for Data Visualization in the Era of Large Language Models
  
  Nan Chen, Yuge Zhang, Jiahang Xu, Kan Ren, Yuqing Yang
  
  IEEE Transactions on Visualization and Computer Graphics | July 2024, 第 PP 卷
  
  Best paper
  
  VIS2024
  
  DOI Preprint Github
- Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations
  
  Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang
  
  the 22nd Annual International Conference on Mobile Systems, Applications and Services (MobiSys’24) | June 2024
  
  Publication
- Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
  
  Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
  
  June 2024
  
  Preprint
- Autodroid: LLM-Powered Task Automation in Android
  
  Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu
  
  the 30th Annual International Conference on Mobile Computing and Networking (MobiCom’24) | May 2024
  
  Publication
- Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
  
  Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2024 | May 2024
  
  Publication Github
- AutoMS: Automated Service for mmWave Coverage Optimization using Low-cost Metasurfaces
  
  Ruichun Ma, Shicheng Zheng, Hao Pan, Lili Qiu, Xingyu Chen, Liangyu Liu, Yihong Liu, Wenjun Hu, Ju Ren
  
  MobiCom 2024 | May 2024
  
  Publication
- Exploring the Feasibility of Remote Cardiac Auscultation Using Earphones
  
  Tao Chen, Yongjie Yang, Xiaoran Fan, Xiuzhen Guo, Jie Xiong, Longfei Shangguan
  
  MobiCom 2024 | May 2024
  
  Publication
- Gastag: A Gas Sensing Paradigm using Graphene-based Tags
  
  Xue Sun, Jie Xiong, Chao Feng, Xiaohui Li, Jiayi Zhang, Binghao Li, Dingyi Fang, Xiaojiang Chen
  
  MobiCom 2024 | May 2024
  
  Publication
- MSense: Boosting Wireless Sensing Capability Under Motion Interference
  
  Zhaoxin Chang, Fusang Zhang, Jie Xiong, Weiyan Chen, Daqing Zhang
  
  MobiCom 2024 | May 2024
  
  Publication
- MuDiS: An Audio-independent, Wide-angle, and Leak-free Multi-directional Speaker
  
  Yijie Li, Juntao Zhou, Dian Ding, Yi-Chao Chen, Lili Qiu, Jiadi Yu, Guangtao Xue
  
  MobiCom 2024 | May 2024
  
  Publication
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint 项目项目
- LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
  
  Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu
  
  Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) | December 2023
  
  Publication 项目
- Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning
  
  Ya Nan, Shiqi Jiang, Mo Li
  
  ACM Transactions on Sensor Network | October 2023, 第 20 卷(1): pp. 1-23
  
  Publication
- LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
  
  Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023
  
  Preprint 项目
- Attentive Mask CLIP
  
  Yifan Yang, Houwen Peng, Xinyang Jiang, Huiqiang Jiang, Yuqing Yang, Lili Qiu
  
  2023 International Conference on Computer Vision | October 2023
  
  Publication
- ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
  
  Yasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike, Yuqing Yang
  
  NeurIPS 2023 | October 2023
  
  Publication
- Accurate and Structured Pruning for Efficient Automatic Speech Recognition
  
  Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu
  
  INTERSPEECH 2023 | August 2023
  
  Publication
- End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
  
  Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna K. Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
  
  INTERSPEECH 2023 | August 2023
  
  Publication
- CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition
  
  Tingting Ma, Qianhui Wu, Huiqiang Jiang, Börje F. Karlsson, Tiejun Zhao, Chin-Yew Lin
  
  ACL 2023 | July 2023
  
  Publication 项目
- Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text
  
  Qianhui Wu, Huiqiang Jiang, Haonan Yin, Börje F. Karlsson, Chin-Yew Lin
  
  The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) | July 2023
  
  Publication
- A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
  
  Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng
  
  ICASSP 2023 | June 2023
  
  Publication
- Leveraging Pretrained Representations with Task-related Keywords for Alzheimer’s Disease Detection
  
  Jinchao Li, Kaitao Song, Junan Li, Bo Zheng, Dongsheng Li, Xixin Wu, Xunying Liu, Helen Meng
  
  ICASSP 2023 | June 2023
  
  Publication
- Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
  
  Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
  
  ICASSP 23 | June 2023
  
  Author's Version
- AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments
  
  Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Yunxin Liu
  
  The 29th Annual International Conference On Mobile Computing And Networking (MobiCom’23)) | May 2023
  
  Publication
- Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
  
  Eric Qu, Xufang Luo, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
  
  Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
  
  Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang
  
  ICLR 23 | May 2023
  
  Publication
- SIMPLE: Specialized Model-Sample Matching for Domain Generalization
  
  Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Publication
- Personalized Graph Signal Processing for Collaborative Filtering
  
  Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
  
  WWW 23 | April 2023
  
  Author's Version
- Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
  
  Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
  
  WWW 23 | April 2023
  
  Author's Version
- Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
  
  Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
  
  AAAI 2023 | February 2023
  
  Publication
- Similarity Distribution based Membership Inference Attack on Person Re-identification
  
  Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
  
  AAAI 2023 | February 2023
  
  Author's Version
- Towards Inference Efficient Deep Ensemble Learning
  
  Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
  
  AAAI 23 | February 2023
  
  Author's Version
- Turbo: Opportunistic Enhancement for Edge Video Analytics
  
  Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu
  
  The 20th ACM Conference on Embedded Networked Sensor Systems (SenSys ’22) | November 2022
  
  Publication
- CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
  
  Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
  
  KDD 2022 | August 2022
  
  Publication
- CLARE: A Semi-supervised Community Detection Algorithm
  
  Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
  
  KDD 2022 | August 2022
  
  Publication
- Analyzing and Mitigating Interference in Neural Architecture Search
  
  Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Sujian Li
  
  ICML 2022 | July 2022
  
  Publication
- Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  
  Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
  
  ICML 2022 | July 2022
  
  Publication
- PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training
  
  Wei Zhang , Binghao Chen, Zhenhua Han, Quan Chen, Peng Cheng, Fan Yang, Ran Shu, Yuqing Yang, Minyi Guo
  
  2022 USENIX Annual Technical Conference | July 2022
  
  PDF
- SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
  
  Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou
  
  OSDI 2022 | July 2022
  
  Publication 项目项目
- Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
  
  Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
  
  IJCAI 2022 | July 2022
  
  Publication
- Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
  
  Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna K. Qiu, Jiahang Xu, Yuqing Yang, Liping Jiang, Qun Lou, Dongsheng Li, Xudong Wang, Lili Qiu
  
  INTERSPEECH 2022 | June 2022
  
  Publication
- Mixed-phoneme bert: Improving bert with mixed phoneme and sup-phoneme representations for text to speech
  
  Guangyan Zhang, Kaitao Song, Xu Tan, Daxin Tan, Yuzi Yan, Yanqing Liu, Gang Wang, Wei Zhou, Tao Qin, Tan Lee, Sheng Zhao
  
  INTERSPEECH 2022 | June 2022
  
  Publication
- RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
  
  Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
  
  CVPR 2022 | June 2022
  
  Publication
- Decomposed Meta-Learning for Few-Shot Named Entity Recognition
  
  Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin
  
  60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) | Findings | May 2022
  
  Publication 项目
- Metabolic characterization of hypertrophic cardiomyopathy in human heart
  
  Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu
  
  Nature Cardiovascular Research | May 2022, 第 1 卷: pp. 445-461
  
  Publication
- Privacy-preserving Online AutoML for Domain-Specific Face Detection
  
  Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
  
  CVPR 2022 | May 2022
  
  Publication
- Accurate and Explainable Recommendation via Review Rationalization
  
  Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- Cross-Modal Ambiguity Learning for Multimodal Fake News Detection
  
  Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun, Li Shang
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- FIRE: Fast Incremental Recommendation with Graph Signal Processing
  
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- MINDSim: User Simulator for News Recommenders
  
  Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
  
  TheWebConf 2022 | April 2022
  
  Publication
- Recursive Disentanglement Network
  
  Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert Dick, Qin Lv, Fan Yang, Li Shang
  
  ICLR 2022 | April 2022
  
  Publication
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  ICLR 2022 | April 2022
  
  Publication
- Astraea: towards QoS-aware and resource-efficient multi-stage GPU services
  
  Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Minyi Guo
  
  ASPLOS 2022 | February 2022
  
  Publication
- Invariant Information Bottleneck for Domain Generalization
  
  Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
  
  AAAI 2022 | February 2022
  
  Publication
- Neural Piecewise-Constant Delay Differential Equations
  
  Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
  
  AAAI 2022 | February 2022
  
  Publication
- Recognizing Vector Graphics without Rasterization
  
  Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Reinforcement Learning Enhanced Explainer for Graph Neural Networks
  
  Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Towards Generating Real-World Time Series Data
  
  Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
  
  ICDM 21 | November 2021
  
  Publication Publication Publication
- CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
  
  Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI PDF Publication
- How Powerful is Graph Convolution for Recommendation
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication Publication Publication
- Incremental Graph Convolutional Network for Collaborative Filtering
  
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication
- Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
  
  Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
  
  ICCV 2021 | October 2021
  
  Publication
- Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
  
  Xiaofan Xing, Yuankang Xiong, Ruipu Yang, Rong Wang, Weibing Wang, Haidong Kan, Tun Lu, Dongsheng Li, Junji Cao, Josep Peñuelas, Philippe Ciais, Nico Bauer, Olivier Boucher, Yves Balkanski, Didier Hauglustaine, Guy Brasseur, Lidia Morawska, Ivan A Janssens, Xiangrong Wang, Jordi Sardans, Yijing Wang, Yifei Deng, Lin Wang, Jianmin Chen, Xu Tang, Renhe Zhang
  
  Proceedings of the National Academy of Sciences of the United States of America | August 2021, 第 118 卷(33)
  
  DOI Publication Publication Publication Publication Publication Publication 项目
- CHARM: Collaborative Host and Accelerator Resource Management for GPU Datacenters
  
  Wei Zhang, Kaihua Fu, Ningxin Zheng, Quan Chen, Chao Li, Wenli Zheng, Minyi Guo
  
  ICCD 2021 | July 2021
  
  Publication
- Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction.
  
  Weihao Cui, Han Zhao, Quan Chen, Ningxin Zheng, Jingwen Leng, Jieru Zhao, Zhuo Song, Tao Ma, Yong Yang, Chao Li, Minyi Guo
  
  SC 2021 | July 2021
  
  Publication
- nn-Meter: Towards Accurate Latency Prediction of Deep-Learning Model Inference on Diverse Edge Devices
  
  Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu
  
  The 19th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys’21) | June 2021
  
  Best Paper Award
  
  Publication
- Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
  
  Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
  
  Thirty-Fifth AAAI Conference on Artificial Intelligence | May 2021
  
  Publication Publication
- A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
  
  Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
  
  IEEE Transactions on Multimedia | April 2021
  
  DOI Publication Publication
- Towards QoS-awareness and Improved Utilization of Spatial Multitasking GPUs
  
  Wei Zhang, Quan Chen, Ningxin Zheng, Weihao Cui, Kaihua Fu, Minyi Guo
  
  IEEE Transactions on Computers | March 2021, pp. 1-1
  
  DOI Publication
- Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
  
  Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
  
  IEEE Transactions on Knowledge and Data Engineering | January 2021, (01): pp. 1-1
  
  DOI Publication
- HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees
  
  Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Yuqi Wang, Yifan Xiong, Bin Wang
  
  2020 Operating Systems Design and Implementation | November 2020
  
  Publication 项目
- Retiarii: A Deep Learning Exploratory-Training Framework
  
  Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou
  
  2020 Operating Systems Design and Implementation | November 2020
  
  Publication 视频

- AVA: Towards Agentic Video Analytics with Vision Language Models
  
  Yuxuan Yan, Shiqi Jiang, Ting Cao, Yifan Yang, Qianqian Yang, Yuanchao Shu, Yuqing Yang, Lili Qiu
  
  23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI’26)) | October 2025
  
  Publication
- MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention
  
  Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICML 2025 | July 2025
  
  Preprint Github 项目
- Screen Reader Users in the Vibe Coding Era: Adaptation, Empowerment, and New Accessibility Landscape
  
  Nan Chen, Luna K. Qiu, Arran Zeyu Wang, Zilong Wang, Yuqing Yang
  
  ArXiv | June 2025, 第 abs/2506.13270 卷
  
  DOI Publication Publication
- Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices
  
  Qipeng Wang, Shiqi Jiang, Yifan Yang, Ruiqi Liu, Yuanchun Li, Ting Cao, Xuanzhe Liu
  
  IEEE Transactions on Mobile Computing (TMC) | April 2025, pp. 1-18
  
  Publication
- Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment
  
  Gaole Dai, Shiqi Jiang, Ting Cao, Yuanchun Li, Yuqing Yang, Rui Tan, Mo Li, Lili Qiu
  
  March 2025
  
  Preprint
- Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
  
  Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li
  
  2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | January 2025, pp. 10610-10620
  
  DOI Publication Publication
- SCBench: A KV Cache-Centric Analysis of Long-Context Methods
  
  Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICLR 2025 | December 2024
  
  Preprint Github 项目
- MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
  
  Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
  
  NeurIPS 2024 | December 2024
  
  spotlight
  
  Preprint Github 项目
- LORASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning
  
  Yifan Yang, Yifei Shen, Yuqing Yang, Lili Qiu, Fangyun Wei
  
  2024 Empirical Methods in Natural Language Processing | November 2024
  
  Publication
- AdaWiFi, Collaborative WiFi Sensing for Cross-Environment Adaptation
  
  Naiyu Zheng, Yuanchun Li, Shiqi Jiang, Yuanzhe Li, Rongchun Yao, Chuchu Dong
  
  IEEE Transactions on Mobile Computing | October 2024
  
  Publication
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
  
  Siyun Zhao, Yuqing Yang, Zilong Wang, Zhiyuan He, Luna K. Qiu, Lili Qiu
  
  September 2024
  
  Publication
- Anatomizing Deep Learning Inference in Web Browsers
  
  Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu
  
  ACM Transactions on Software Engineering and Methodology | August 2024
  
  Publication
- Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations
  
  Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang
  
  the 22nd Annual International Conference on Mobile Systems, Applications and Services (MobiSys’24) | June 2024
  
  Publication
- Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
  
  Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
  
  June 2024
  
  Preprint
- Autodroid: LLM-Powered Task Automation in Android
  
  Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu
  
  the 30th Annual International Conference on Mobile Computing and Networking (MobiCom’24) | May 2024
  
  Publication
- Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
  
  Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2024 | May 2024
  
  Publication Github
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint 项目项目
- LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
  
  Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu
  
  Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) | December 2023
  
  Publication 项目
- Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning
  
  Ya Nan, Shiqi Jiang, Mo Li
  
  ACM Transactions on Sensor Network | October 2023, 第 20 卷(1): pp. 1-23
  
  Publication
- LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
  
  Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023
  
  Preprint 项目
- Attentive Mask CLIP
  
  Yifan Yang, Houwen Peng, Xinyang Jiang, Huiqiang Jiang, Yuqing Yang, Lili Qiu
  
  2023 International Conference on Computer Vision | October 2023
  
  Publication
- ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
  
  Yasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike, Yuqing Yang
  
  NeurIPS 2023 | October 2023
  
  Publication
- End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
  
  Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna K. Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
  
  INTERSPEECH 2023 | August 2023
  
  Publication
- Accurate and Structured Pruning for Efficient Automatic Speech Recognition
  
  Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu
  
  INTERSPEECH 2023 | August 2023
  
  Publication
- CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition
  
  Tingting Ma, Qianhui Wu, Huiqiang Jiang, Börje F. Karlsson, Tiejun Zhao, Chin-Yew Lin
  
  ACL 2023 | July 2023
  
  Publication 项目
- Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text
  
  Qianhui Wu, Huiqiang Jiang, Haonan Yin, Börje F. Karlsson, Chin-Yew Lin
  
  The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) | July 2023
  
  Publication
- Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
  
  Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
  
  ICASSP 23 | June 2023
  
  Author's Version
- EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
  
  Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- SIMPLE: Specialized Model-Sample Matching for Domain Generalization
  
  Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Publication
- Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
  
  Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang
  
  ICLR 23 | May 2023
  
  Publication
- Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
  
  Eric Qu, Xufang Luo, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments
  
  Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Yunxin Liu
  
  The 29th Annual International Conference On Mobile Computing And Networking (MobiCom’23)) | May 2023
  
  Publication
- Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
  
  Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
  
  WWW 23 | April 2023
  
  Author's Version
- Personalized Graph Signal Processing for Collaborative Filtering
  
  Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
  
  WWW 23 | April 2023
  
  Author's Version
- Towards Inference Efficient Deep Ensemble Learning
  
  Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
  
  AAAI 23 | February 2023
  
  Author's Version
- Similarity Distribution based Membership Inference Attack on Person Re-identification
  
  Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
  
  AAAI 2023 | February 2023
  
  Author's Version
- Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
  
  Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
  
  AAAI 2023 | February 2023
  
  Publication
- Turbo: Opportunistic Enhancement for Edge Video Analytics
  
  Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu
  
  The 20th ACM Conference on Embedded Networked Sensor Systems (SenSys ’22) | November 2022
  
  Publication
- CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
  
  Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
  
  KDD 2022 | August 2022
  
  Publication
- Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  
  Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
  
  ICML 2022 | July 2022
  
  Publication
- Analyzing and Mitigating Interference in Neural Architecture Search
  
  Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Sujian Li
  
  ICML 2022 | July 2022
  
  Publication
- Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
  
  Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
  
  IJCAI 2022 | July 2022
  
  Publication
- Metabolic characterization of hypertrophic cardiomyopathy in human heart
  
  Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu
  
  Nature Cardiovascular Research | May 2022, 第 1 卷: pp. 445-461
  
  Publication
- Decomposed Meta-Learning for Few-Shot Named Entity Recognition
  
  Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin
  
  60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) | Findings | May 2022
  
  Publication 项目
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  ICLR 2022 | April 2022
  
  Publication
- Recursive Disentanglement Network
  
  Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert Dick, Qin Lv, Fan Yang, Li Shang
  
  ICLR 2022 | April 2022
  
  Publication
- Astraea: towards QoS-aware and resource-efficient multi-stage GPU services
  
  Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Minyi Guo
  
  ASPLOS 2022 | February 2022
  
  Publication
- Neural Piecewise-Constant Delay Differential Equations
  
  Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
  
  AAAI 2022 | February 2022
  
  Publication
- Invariant Information Bottleneck for Domain Generalization
  
  Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
  
  AAAI 2022 | February 2022
  
  Publication
- Reinforcement Learning Enhanced Explainer for Graph Neural Networks
  
  Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
  
  Xiaofan Xing, Yuankang Xiong, Ruipu Yang, Rong Wang, Weibing Wang, Haidong Kan, Tun Lu, Dongsheng Li, Junji Cao, Josep Peñuelas, Philippe Ciais, Nico Bauer, Olivier Boucher, Yves Balkanski, Didier Hauglustaine, Guy Brasseur, Lidia Morawska, Ivan A Janssens, Xiangrong Wang, Jordi Sardans, Yijing Wang, Yifei Deng, Lin Wang, Jianmin Chen, Xu Tang, Renhe Zhang
  
  Proceedings of the National Academy of Sciences of the United States of America | August 2021, 第 118 卷(33)
  
  DOI Publication Publication Publication Publication Publication Publication 项目
- CHARM: Collaborative Host and Accelerator Resource Management for GPU Datacenters
  
  Wei Zhang, Kaihua Fu, Ningxin Zheng, Quan Chen, Chao Li, Wenli Zheng, Minyi Guo
  
  ICCD 2021 | July 2021
  
  Publication
- Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction.
  
  Weihao Cui, Han Zhao, Quan Chen, Ningxin Zheng, Jingwen Leng, Jieru Zhao, Zhuo Song, Tao Ma, Yong Yang, Chao Li, Minyi Guo
  
  SC 2021 | July 2021
  
  Publication
- nn-Meter: Towards Accurate Latency Prediction of Deep-Learning Model Inference on Diverse Edge Devices
  
  Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu
  
  The 19th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys’21) | June 2021
  
  Best Paper Award
  
  Publication
- AVA: Towards Agentic Video Analytics with Vision Language Models
  
  Yuxuan Yan, Shiqi Jiang, Ting Cao, Yifan Yang, Qianqian Yang, Yuanchao Shu, Yuqing Yang, Lili Qiu
  
  23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI’26)) | October 2025
  
  Publication
- VoLUT: Efficient Volumetric Streaming Enhanced By LUT-Based Super-Resolution
  
  Yifan Yang, Lili Qiu, Yuqing Yang, Xinyang Jiang
  
  The Eighth Annual Conference on Machine Learning and Systems | May 2025
  
  Publication
- Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices
  
  Qipeng Wang, Shiqi Jiang, Yifan Yang, Ruiqi Liu, Yuanchun Li, Ting Cao, Xuanzhe Liu
  
  IEEE Transactions on Mobile Computing (TMC) | April 2025, pp. 1-18
  
  Publication
- Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment
  
  Gaole Dai, Shiqi Jiang, Ting Cao, Yuanchun Li, Yuqing Yang, Rui Tan, Mo Li, Lili Qiu
  
  March 2025
  
  Preprint
- MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
  
  Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
  
  NeurIPS 2024 | December 2024
  
  spotlight
  
  Preprint Github 项目
- GPMS: Enabling Indoor GNSS Positioning using Passive Metasurfaces
  
  Yezhou Wang, Hao Pan, Lili Qiu, Linghui Zhong, Jiting Liu, Ruichun Ma, Yi-Chao Chen, Guangtao Xue, Ju Ren
  
  MobiCom 2024 | December 2024
  
  Publication
- MicroSurf: Guiding Energy Distribution inside Microwave Oven with Metasurfaces
  
  Yiwen Song, Hao Pan, Longyuan Ge, Lili Qiu, Swarun Kumar, Yi-Chao Chen
  
  December 2024
  
  Publication
- GPSense: Passive Sensing with Pervasive GPS Signals
  
  Huixin Dong, Minhao Cui, Ning Wang, Lili Qiu, Jie Xiong, Wei Wang
  
  MobiCom 2024 | December 2024
  
  Publication
- AdaWiFi, Collaborative WiFi Sensing for Cross-Environment Adaptation
  
  Naiyu Zheng, Yuanchun Li, Shiqi Jiang, Yuanzhe Li, Rongchun Yao, Chuchu Dong
  
  IEEE Transactions on Mobile Computing | October 2024
  
  Publication
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- Anatomizing Deep Learning Inference in Web Browsers
  
  Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu
  
  ACM Transactions on Software Engineering and Methodology | August 2024
  
  Publication
- Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations
  
  Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang
  
  the 22nd Annual International Conference on Mobile Systems, Applications and Services (MobiSys’24) | June 2024
  
  Publication
- Autodroid: LLM-Powered Task Automation in Android
  
  Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu
  
  the 30th Annual International Conference on Mobile Computing and Networking (MobiCom’24) | May 2024
  
  Publication
- MuDiS: An Audio-independent, Wide-angle, and Leak-free Multi-directional Speaker
  
  Yijie Li, Juntao Zhou, Dian Ding, Yi-Chao Chen, Lili Qiu, Jiadi Yu, Guangtao Xue
  
  MobiCom 2024 | May 2024
  
  Publication
- AutoMS: Automated Service for mmWave Coverage Optimization using Low-cost Metasurfaces
  
  Ruichun Ma, Shicheng Zheng, Hao Pan, Lili Qiu, Xingyu Chen, Liangyu Liu, Yihong Liu, Wenjun Hu, Ju Ren
  
  MobiCom 2024 | May 2024
  
  Publication
- MSense: Boosting Wireless Sensing Capability Under Motion Interference
  
  Zhaoxin Chang, Fusang Zhang, Jie Xiong, Weiyan Chen, Daqing Zhang
  
  MobiCom 2024 | May 2024
  
  Publication
- Gastag: A Gas Sensing Paradigm using Graphene-based Tags
  
  Xue Sun, Jie Xiong, Chao Feng, Xiaohui Li, Jiayi Zhang, Binghao Li, Dingyi Fang, Xiaojiang Chen
  
  MobiCom 2024 | May 2024
  
  Publication
- Exploring the Feasibility of Remote Cardiac Auscultation Using Earphones
  
  Tao Chen, Yongjie Yang, Xiaoran Fan, Xiuzhen Guo, Jie Xiong, Longfei Shangguan
  
  MobiCom 2024 | May 2024
  
  Publication
- Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning
  
  Ya Nan, Shiqi Jiang, Mo Li
  
  ACM Transactions on Sensor Network | October 2023, 第 20 卷(1): pp. 1-23
  
  Publication
- AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments
  
  Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Yunxin Liu
  
  The 29th Annual International Conference On Mobile Computing And Networking (MobiCom’23)) | May 2023
  
  Publication
- Turbo: Opportunistic Enhancement for Edge Video Analytics
  
  Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu
  
  The 20th ACM Conference on Embedded Networked Sensor Systems (SenSys ’22) | November 2022
  
  Publication
- PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training
  
  Wei Zhang , Binghao Chen, Zhenhua Han, Quan Chen, Peng Cheng, Fan Yang, Ran Shu, Yuqing Yang, Minyi Guo
  
  2022 USENIX Annual Technical Conference | July 2022
  
  PDF
- SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
  
  Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou
  
  OSDI 2022 | July 2022
  
  Publication 项目项目
- Astraea: towards QoS-aware and resource-efficient multi-stage GPU services
  
  Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Minyi Guo
  
  ASPLOS 2022 | February 2022
  
  Publication
- CHARM: Collaborative Host and Accelerator Resource Management for GPU Datacenters
  
  Wei Zhang, Kaihua Fu, Ningxin Zheng, Quan Chen, Chao Li, Wenli Zheng, Minyi Guo
  
  ICCD 2021 | July 2021
  
  Publication
- nn-Meter: Towards Accurate Latency Prediction of Deep-Learning Model Inference on Diverse Edge Devices
  
  Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu
  
  The 19th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys’21) | June 2021
  
  Best Paper Award
  
  Publication
- Towards QoS-awareness and Improved Utilization of Spatial Multitasking GPUs
  
  Wei Zhang, Quan Chen, Ningxin Zheng, Weihao Cui, Kaihua Fu, Minyi Guo
  
  IEEE Transactions on Computers | March 2021, pp. 1-1
  
  DOI Publication
- HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees
  
  Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Yuqi Wang, Yifan Xiong, Bin Wang
  
  2020 Operating Systems Design and Implementation | November 2020
  
  Publication 项目
- Retiarii: A Deep Learning Exploratory-Training Framework
  
  Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou
  
  2020 Operating Systems Design and Implementation | November 2020
  
  Publication 视频
- MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention
  
  Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICML 2025 | July 2025
  
  Preprint Github 项目
- SCBench: A KV Cache-Centric Analysis of Long-Context Methods
  
  Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICLR 2025 | December 2024
  
  Preprint Github 项目
- MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
  
  Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
  
  NeurIPS 2024 | December 2024
  
  spotlight
  
  Preprint Github 项目
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- VisEval: A Benchmark for Data Visualization in the Era of Large Language Models
  
  Nan Chen, Yuge Zhang, Jiahang Xu, Kan Ren, Yuqing Yang
  
  IEEE Transactions on Visualization and Computer Graphics | July 2024, 第 PP 卷
  
  Best paper
  
  VIS2024
  
  DOI Preprint Github
- Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
  
  Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
  
  June 2024
  
  Preprint
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint 项目项目
- LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
  
  Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu
  
  Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) | December 2023
  
  Publication 项目
- LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
  
  Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023
  
  Preprint 项目
- Accurate and Structured Pruning for Efficient Automatic Speech Recognition
  
  Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu
  
  INTERSPEECH 2023 | August 2023
  
  Publication
- CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition
  
  Tingting Ma, Qianhui Wu, Huiqiang Jiang, Börje F. Karlsson, Tiejun Zhao, Chin-Yew Lin
  
  ACL 2023 | July 2023
  
  Publication 项目
- Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text
  
  Qianhui Wu, Huiqiang Jiang, Haonan Yin, Börje F. Karlsson, Chin-Yew Lin
  
  The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) | July 2023
  
  Publication
- Decomposed Meta-Learning for Few-Shot Named Entity Recognition
  
  Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin
  
  60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) | Findings | May 2022
  
  Publication 项目
- Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment
  
  Gaole Dai, Shiqi Jiang, Ting Cao, Yuanchun Li, Yuqing Yang, Rui Tan, Mo Li, Lili Qiu
  
  March 2025
  
  Preprint
- VisEval: A Benchmark for Data Visualization in the Era of Large Language Models
  
  Nan Chen, Yuge Zhang, Jiahang Xu, Kan Ren, Yuqing Yang
  
  IEEE Transactions on Visualization and Computer Graphics | July 2024, 第 PP 卷
  
  Best paper
  
  VIS2024
  
  DOI Preprint Github
- VoLUT: Efficient Volumetric Streaming Enhanced By LUT-Based Super-Resolution
  
  Yifan Yang, Lili Qiu, Yuqing Yang, Xinyang Jiang
  
  The Eighth Annual Conference on Machine Learning and Systems | May 2025
  
  Publication
- LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation
  
  Weiquan Huang, Aoqi Wu, Yifan Yang, Xufang Luo, Yuqing Yang, Liang Hu, Qi Dai, Xiyang Dai, Dongdong Chen, Chong Luo, Lili Qiu
  
  November 2024
  
  Publication Github 项目
- Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling
  
  Hao Wu, Donglin Bai, Shiqi Jiang, Qianxi Zhang, Yifan Yang, Ting Cao, Fengyuan Xu
  
  October 2024
  
  DOI Publication Publication 项目
- Similarity Distribution based Membership Inference Attack on Person Re-identification
  
  Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
  
  AAAI 2023 | February 2023
  
  Author's Version
- RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
  
  Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
  
  CVPR 2022 | June 2022
  
  Publication
- Privacy-preserving Online AutoML for Domain-Specific Face Detection
  
  Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
  
  CVPR 2022 | May 2022
  
  Publication
- Recognizing Vector Graphics without Rasterization
  
  Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
  
  Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
  
  ICCV 2021 | October 2021
  
  Publication
- A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
  
  Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
  
  IEEE Transactions on Multimedia | April 2021
  
  DOI Publication Publication
- Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
  
  Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
  
  ICASSP 23 | June 2023
  
  Author's Version
- Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
  
  Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna K. Qiu, Jiahang Xu, Yuqing Yang, Liping Jiang, Qun Lou, Dongsheng Li, Xudong Wang, Lili Qiu
  
  INTERSPEECH 2022 | June 2022
  
  Publication
- Metabolic characterization of hypertrophic cardiomyopathy in human heart
  
  Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu
  
  Nature Cardiovascular Research | May 2022, 第 1 卷: pp. 445-461
  
  Publication
- SIMPLE: Specialized Model-Sample Matching for Domain Generalization
  
  Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Publication
- Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
  
  Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang
  
  ICLR 23 | May 2023
  
  Publication
- Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
  
  Eric Qu, Xufang Luo, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
  
  Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
  
  WWW 23 | April 2023
  
  Author's Version
- Personalized Graph Signal Processing for Collaborative Filtering
  
  Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
  
  WWW 23 | April 2023
  
  Author's Version
- Towards Inference Efficient Deep Ensemble Learning
  
  Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
  
  AAAI 23 | February 2023
  
  Author's Version
- CLARE: A Semi-supervised Community Detection Algorithm
  
  Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
  
  KDD 2022 | August 2022
  
  Publication
- Towards Generating Real-World Time Series Data
  
  Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
  
  ICDM 21 | November 2021
  
  Publication Publication Publication
- How Powerful is Graph Convolution for Recommendation
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication Publication Publication
- Incremental Graph Convolutional Network for Collaborative Filtering
  
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication
- CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
  
  Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI PDF Publication
- Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
  
  Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
  
  Thirty-Fifth AAAI Conference on Artificial Intelligence | May 2021
  
  Publication Publication
- A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
  
  Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
  
  IEEE Transactions on Multimedia | April 2021
  
  DOI Publication Publication
- Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
  
  Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
  
  IEEE Transactions on Knowledge and Data Engineering | January 2021, (01): pp. 1-1
  
  DOI Publication
- EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
  
  Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
  
  Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna K. Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
  
  INTERSPEECH 2023 | August 2023
  
  Publication
- A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
  
  Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng
  
  ICASSP 2023 | June 2023
  
  Publication
- Leveraging Pretrained Representations with Task-related Keywords for Alzheimer’s Disease Detection
  
  Jinchao Li, Kaitao Song, Junan Li, Bo Zheng, Dongsheng Li, Xixin Wu, Xunying Liu, Helen Meng
  
  ICASSP 2023 | June 2023
  
  Publication
- Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
  
  Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna K. Qiu, Jiahang Xu, Yuqing Yang, Liping Jiang, Qun Lou, Dongsheng Li, Xudong Wang, Lili Qiu
  
  INTERSPEECH 2022 | June 2022
  
  Publication
- Mixed-phoneme bert: Improving bert with mixed phoneme and sup-phoneme representations for text to speech
  
  Guangyan Zhang, Kaitao Song, Xu Tan, Daxin Tan, Yuzi Yan, Yanqing Liu, Gang Wang, Wei Zhou, Tao Qin, Tan Lee, Sheng Zhao
  
  INTERSPEECH 2022 | June 2022
  
  Publication
- Towards Generating Real-World Time Series Data
  
  Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
  
  ICDM 21 | November 2021
  
  Publication Publication Publication
- Decomposed Meta-Learning for Few-Shot Named Entity Recognition
  
  Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin
  
  60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) | Findings | May 2022
  
  Publication 项目
- FIRE: Fast Incremental Recommendation with Graph Signal Processing
  
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- MINDSim: User Simulator for News Recommenders
  
  Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
  
  TheWebConf 2022 | April 2022
  
  Publication
- Cross-Modal Ambiguity Learning for Multimodal Fake News Detection
  
  Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun, Li Shang
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- Accurate and Explainable Recommendation via Review Rationalization
  
  Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- How Powerful is Graph Convolution for Recommendation
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication Publication Publication
- Incremental Graph Convolutional Network for Collaborative Filtering
  
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication
- CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
  
  Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI PDF Publication
- Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
  
  Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
  
  Thirty-Fifth AAAI Conference on Artificial Intelligence | May 2021
  
  Publication Publication
- Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
  
  Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
  
  IEEE Transactions on Knowledge and Data Engineering | January 2021, (01): pp. 1-1
  
  DOI Publication
- nn-Meter: Towards Accurate Latency Prediction of Deep-Learning Model Inference on Diverse Edge Devices
  
  Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu
  
  The 19th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys’21) | June 2021
  
  Best Paper Award
  
  Publication

- Screen Reader Users in the Vibe Coding Era: Adaptation, Empowerment, and New Accessibility Landscape
  
  Nan Chen, Luna K. Qiu, Arran Zeyu Wang, Zilong Wang, Yuqing Yang
  
  ArXiv | June 2025, 第 abs/2506.13270 卷
  
  DOI Publication Publication
- Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices
  
  Qipeng Wang, Shiqi Jiang, Yifan Yang, Ruiqi Liu, Yuanchun Li, Ting Cao, Xuanzhe Liu
  
  IEEE Transactions on Mobile Computing (TMC) | April 2025, pp. 1-18
  
  Publication
- Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
  
  Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li
  
  2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | January 2025, pp. 10610-10620
  
  DOI Publication Publication
- AdaWiFi, Collaborative WiFi Sensing for Cross-Environment Adaptation
  
  Naiyu Zheng, Yuanchun Li, Shiqi Jiang, Yuanzhe Li, Rongchun Yao, Chuchu Dong
  
  IEEE Transactions on Mobile Computing | October 2024
  
  Publication
- Anatomizing Deep Learning Inference in Web Browsers
  
  Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu
  
  ACM Transactions on Software Engineering and Methodology | August 2024
  
  Publication
- VisEval: A Benchmark for Data Visualization in the Era of Large Language Models
  
  Nan Chen, Yuge Zhang, Jiahang Xu, Kan Ren, Yuqing Yang
  
  IEEE Transactions on Visualization and Computer Graphics | July 2024, 第 PP 卷
  
  Best paper
  
  VIS2024
  
  DOI Preprint Github
- Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning
  
  Ya Nan, Shiqi Jiang, Mo Li
  
  ACM Transactions on Sensor Network | October 2023, 第 20 卷(1): pp. 1-23
  
  Publication
- Metabolic characterization of hypertrophic cardiomyopathy in human heart
  
  Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu
  
  Nature Cardiovascular Research | May 2022, 第 1 卷: pp. 445-461
  
  Publication
- Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
  
  Xiaofan Xing, Yuankang Xiong, Ruipu Yang, Rong Wang, Weibing Wang, Haidong Kan, Tun Lu, Dongsheng Li, Junji Cao, Josep Peñuelas, Philippe Ciais, Nico Bauer, Olivier Boucher, Yves Balkanski, Didier Hauglustaine, Guy Brasseur, Lidia Morawska, Ivan A Janssens, Xiangrong Wang, Jordi Sardans, Yijing Wang, Yifei Deng, Lin Wang, Jianmin Chen, Xu Tang, Renhe Zhang
  
  Proceedings of the National Academy of Sciences of the United States of America | August 2021, 第 118 卷(33)
  
  DOI Publication Publication Publication Publication Publication Publication 项目
- A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
  
  Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
  
  IEEE Transactions on Multimedia | April 2021
  
  DOI Publication Publication
- Towards QoS-awareness and Improved Utilization of Spatial Multitasking GPUs
  
  Wei Zhang, Quan Chen, Ningxin Zheng, Weihao Cui, Kaihua Fu, Minyi Guo
  
  IEEE Transactions on Computers | March 2021, pp. 1-1
  
  DOI Publication
- Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
  
  Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
  
  IEEE Transactions on Knowledge and Data Engineering | January 2021, (01): pp. 1-1
  
  DOI Publication
- AVA: Towards Agentic Video Analytics with Vision Language Models
  
  Yuxuan Yan, Shiqi Jiang, Ting Cao, Yifan Yang, Qianqian Yang, Yuanchao Shu, Yuqing Yang, Lili Qiu
  
  23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI’26)) | October 2025
  
  Publication
- MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention
  
  Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICML 2025 | July 2025
  
  Preprint Github 项目
- VoLUT: Efficient Volumetric Streaming Enhanced By LUT-Based Super-Resolution
  
  Yifan Yang, Lili Qiu, Yuqing Yang, Xinyang Jiang
  
  The Eighth Annual Conference on Machine Learning and Systems | May 2025
  
  Publication
- SCBench: A KV Cache-Centric Analysis of Long-Context Methods
  
  Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICLR 2025 | December 2024
  
  Preprint Github 项目
- MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
  
  Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
  
  NeurIPS 2024 | December 2024
  
  spotlight
  
  Preprint Github 项目
- GPMS: Enabling Indoor GNSS Positioning using Passive Metasurfaces
  
  Yezhou Wang, Hao Pan, Lili Qiu, Linghui Zhong, Jiting Liu, Ruichun Ma, Yi-Chao Chen, Guangtao Xue, Ju Ren
  
  MobiCom 2024 | December 2024
  
  Publication
- MicroSurf: Guiding Energy Distribution inside Microwave Oven with Metasurfaces
  
  Yiwen Song, Hao Pan, Longyuan Ge, Lili Qiu, Swarun Kumar, Yi-Chao Chen
  
  December 2024
  
  Publication
- GPSense: Passive Sensing with Pervasive GPS Signals
  
  Huixin Dong, Minhao Cui, Ning Wang, Lili Qiu, Jie Xiong, Wei Wang
  
  MobiCom 2024 | December 2024
  
  Publication
- LORASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning
  
  Yifan Yang, Yifei Shen, Yuqing Yang, Lili Qiu, Fangyun Wei
  
  2024 Empirical Methods in Natural Language Processing | November 2024
  
  Publication
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
  
  Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations
  
  Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang
  
  the 22nd Annual International Conference on Mobile Systems, Applications and Services (MobiSys’24) | June 2024
  
  Publication
- Autodroid: LLM-Powered Task Automation in Android
  
  Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu
  
  the 30th Annual International Conference on Mobile Computing and Networking (MobiCom’24) | May 2024
  
  Publication
- MuDiS: An Audio-independent, Wide-angle, and Leak-free Multi-directional Speaker
  
  Yijie Li, Juntao Zhou, Dian Ding, Yi-Chao Chen, Lili Qiu, Jiadi Yu, Guangtao Xue
  
  MobiCom 2024 | May 2024
  
  Publication
- AutoMS: Automated Service for mmWave Coverage Optimization using Low-cost Metasurfaces
  
  Ruichun Ma, Shicheng Zheng, Hao Pan, Lili Qiu, Xingyu Chen, Liangyu Liu, Yihong Liu, Wenjun Hu, Ju Ren
  
  MobiCom 2024 | May 2024
  
  Publication
- MSense: Boosting Wireless Sensing Capability Under Motion Interference
  
  Zhaoxin Chang, Fusang Zhang, Jie Xiong, Weiyan Chen, Daqing Zhang
  
  MobiCom 2024 | May 2024
  
  Publication
- Gastag: A Gas Sensing Paradigm using Graphene-based Tags
  
  Xue Sun, Jie Xiong, Chao Feng, Xiaohui Li, Jiayi Zhang, Binghao Li, Dingyi Fang, Xiaojiang Chen
  
  MobiCom 2024 | May 2024
  
  Publication
- Exploring the Feasibility of Remote Cardiac Auscultation Using Earphones
  
  Tao Chen, Yongjie Yang, Xiaoran Fan, Xiuzhen Guo, Jie Xiong, Longfei Shangguan
  
  MobiCom 2024 | May 2024
  
  Publication
- Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
  
  Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2024 | May 2024
  
  Publication Github
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint 项目项目
- LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
  
  Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu
  
  Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) | December 2023
  
  Publication 项目
- LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
  
  Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023
  
  Preprint 项目
- Attentive Mask CLIP
  
  Yifan Yang, Houwen Peng, Xinyang Jiang, Huiqiang Jiang, Yuqing Yang, Lili Qiu
  
  2023 International Conference on Computer Vision | October 2023
  
  Publication
- ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
  
  Yasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike, Yuqing Yang
  
  NeurIPS 2023 | October 2023
  
  Publication
- End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
  
  Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna K. Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
  
  INTERSPEECH 2023 | August 2023
  
  Publication
- Accurate and Structured Pruning for Efficient Automatic Speech Recognition
  
  Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu
  
  INTERSPEECH 2023 | August 2023
  
  Publication
- CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition
  
  Tingting Ma, Qianhui Wu, Huiqiang Jiang, Börje F. Karlsson, Tiejun Zhao, Chin-Yew Lin
  
  ACL 2023 | July 2023
  
  Publication 项目
- Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text
  
  Qianhui Wu, Huiqiang Jiang, Haonan Yin, Börje F. Karlsson, Chin-Yew Lin
  
  The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) | July 2023
  
  Publication
- Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
  
  Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
  
  ICASSP 23 | June 2023
  
  Author's Version
- A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
  
  Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng
  
  ICASSP 2023 | June 2023
  
  Publication
- Leveraging Pretrained Representations with Task-related Keywords for Alzheimer’s Disease Detection
  
  Jinchao Li, Kaitao Song, Junan Li, Bo Zheng, Dongsheng Li, Xixin Wu, Xunying Liu, Helen Meng
  
  ICASSP 2023 | June 2023
  
  Publication
- EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
  
  Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- SIMPLE: Specialized Model-Sample Matching for Domain Generalization
  
  Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Publication
- Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
  
  Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang
  
  ICLR 23 | May 2023
  
  Publication
- Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
  
  Eric Qu, Xufang Luo, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments
  
  Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Yunxin Liu
  
  The 29th Annual International Conference On Mobile Computing And Networking (MobiCom’23)) | May 2023
  
  Publication
- Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
  
  Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
  
  WWW 23 | April 2023
  
  Author's Version
- Personalized Graph Signal Processing for Collaborative Filtering
  
  Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
  
  WWW 23 | April 2023
  
  Author's Version
- Towards Inference Efficient Deep Ensemble Learning
  
  Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
  
  AAAI 23 | February 2023
  
  Author's Version
- Similarity Distribution based Membership Inference Attack on Person Re-identification
  
  Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
  
  AAAI 2023 | February 2023
  
  Author's Version
- Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
  
  Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
  
  AAAI 2023 | February 2023
  
  Publication
- Turbo: Opportunistic Enhancement for Edge Video Analytics
  
  Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu
  
  The 20th ACM Conference on Embedded Networked Sensor Systems (SenSys ’22) | November 2022
  
  Publication
- CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
  
  Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
  
  KDD 2022 | August 2022
  
  Publication
- CLARE: A Semi-supervised Community Detection Algorithm
  
  Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
  
  KDD 2022 | August 2022
  
  Publication
- Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  
  Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
  
  ICML 2022 | July 2022
  
  Publication
- Analyzing and Mitigating Interference in Neural Architecture Search
  
  Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Sujian Li
  
  ICML 2022 | July 2022
  
  Publication
- PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training
  
  Wei Zhang , Binghao Chen, Zhenhua Han, Quan Chen, Peng Cheng, Fan Yang, Ran Shu, Yuqing Yang, Minyi Guo
  
  2022 USENIX Annual Technical Conference | July 2022
  
  PDF
- Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
  
  Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
  
  IJCAI 2022 | July 2022
  
  Publication
- SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
  
  Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou
  
  OSDI 2022 | July 2022
  
  Publication 项目项目
- Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
  
  Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna K. Qiu, Jiahang Xu, Yuqing Yang, Liping Jiang, Qun Lou, Dongsheng Li, Xudong Wang, Lili Qiu
  
  INTERSPEECH 2022 | June 2022
  
  Publication
- Mixed-phoneme bert: Improving bert with mixed phoneme and sup-phoneme representations for text to speech
  
  Guangyan Zhang, Kaitao Song, Xu Tan, Daxin Tan, Yuzi Yan, Yanqing Liu, Gang Wang, Wei Zhou, Tao Qin, Tan Lee, Sheng Zhao
  
  INTERSPEECH 2022 | June 2022
  
  Publication
- RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
  
  Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
  
  CVPR 2022 | June 2022
  
  Publication
- Privacy-preserving Online AutoML for Domain-Specific Face Detection
  
  Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
  
  CVPR 2022 | May 2022
  
  Publication
- Decomposed Meta-Learning for Few-Shot Named Entity Recognition
  
  Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin
  
  60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) | Findings | May 2022
  
  Publication 项目
- FIRE: Fast Incremental Recommendation with Graph Signal Processing
  
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- MINDSim: User Simulator for News Recommenders
  
  Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
  
  TheWebConf 2022 | April 2022
  
  Publication
- Cross-Modal Ambiguity Learning for Multimodal Fake News Detection
  
  Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun, Li Shang
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- Accurate and Explainable Recommendation via Review Rationalization
  
  Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu
  
  TheWebConf 2022 | April 2022
  
  PDF DOI
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  ICLR 2022 | April 2022
  
  Publication
- Recursive Disentanglement Network
  
  Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert Dick, Qin Lv, Fan Yang, Li Shang
  
  ICLR 2022 | April 2022
  
  Publication
- Astraea: towards QoS-aware and resource-efficient multi-stage GPU services
  
  Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Minyi Guo
  
  ASPLOS 2022 | February 2022
  
  Publication
- Neural Piecewise-Constant Delay Differential Equations
  
  Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
  
  AAAI 2022 | February 2022
  
  Publication
- Invariant Information Bottleneck for Domain Generalization
  
  Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
  
  AAAI 2022 | February 2022
  
  Publication
- Reinforcement Learning Enhanced Explainer for Graph Neural Networks
  
  Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Recognizing Vector Graphics without Rasterization
  
  Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Towards Generating Real-World Time Series Data
  
  Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
  
  ICDM 21 | November 2021
  
  Publication Publication Publication
- How Powerful is Graph Convolution for Recommendation
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication Publication Publication
- Incremental Graph Convolutional Network for Collaborative Filtering
  
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication
- CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
  
  Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI PDF Publication
- Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
  
  Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
  
  ICCV 2021 | October 2021
  
  Publication
- CHARM: Collaborative Host and Accelerator Resource Management for GPU Datacenters
  
  Wei Zhang, Kaihua Fu, Ningxin Zheng, Quan Chen, Chao Li, Wenli Zheng, Minyi Guo
  
  ICCD 2021 | July 2021
  
  Publication
- Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction.
  
  Weihao Cui, Han Zhao, Quan Chen, Ningxin Zheng, Jingwen Leng, Jieru Zhao, Zhuo Song, Tao Ma, Yong Yang, Chao Li, Minyi Guo
  
  SC 2021 | July 2021
  
  Publication
- nn-Meter: Towards Accurate Latency Prediction of Deep-Learning Model Inference on Diverse Edge Devices
  
  Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu
  
  The 19th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys’21) | June 2021
  
  Best Paper Award
  
  Publication
- Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
  
  Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
  
  Thirty-Fifth AAAI Conference on Artificial Intelligence | May 2021
  
  Publication Publication
- HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees
  
  Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Yuqi Wang, Yifan Xiong, Bin Wang
  
  2020 Operating Systems Design and Implementation | November 2020
  
  Publication 项目
- Retiarii: A Deep Learning Exploratory-Training Framework
  
  Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou
  
  2020 Operating Systems Design and Implementation | November 2020
  
  Publication 视频
- Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment
  
  Gaole Dai, Shiqi Jiang, Ting Cao, Yuanchun Li, Yuqing Yang, Rui Tan, Mo Li, Lili Qiu
  
  March 2025
  
  Preprint
- Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
  
  Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
  
  June 2024
  
  Preprint
- LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation
  
  Weiquan Huang, Aoqi Wu, Yifan Yang, Xufang Luo, Yuqing Yang, Liang Hu, Qi Dai, Xiyang Dai, Dongdong Chen, Chong Luo, Lili Qiu
  
  November 2024
  
  Publication Github 项目
- Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling
  
  Hao Wu, Donglin Bai, Shiqi Jiang, Qianxi Zhang, Yifan Yang, Ting Cao, Fengyuan Xu
  
  October 2024
  
  DOI Publication Publication 项目
- Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
  
  Siyun Zhao, Yuqing Yang, Zilong Wang, Zhiyuan He, Luna K. Qiu, Lili Qiu
  
  September 2024
  
  Publication

Microsoft Research Asia – Shanghai

论文与出版物

AVA: Towards Agentic Video Analytics with Vision Language Models

MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention

Screen Reader Users in the Vibe Coding Era: Adaptation, Empowerment, and New Accessibility Landscape

VoLUT: Efficient Volumetric Streaming Enhanced By LUT-Based Super-Resolution

Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices

Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

SCBench: A KV Cache-Centric Analysis of Long-Context Methods

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

GPMS: Enabling Indoor GNSS Positioning using Passive Metasurfaces

GPSense: Passive Sensing with Pervasive GPS Signals

MicroSurf: Guiding Energy Distribution inside Microwave Oven with Metasurfaces

LORASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning

LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation

Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling

AdaWiFi, Collaborative WiFi Sensing for Cross-Environment Adaptation

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Anatomizing Deep Learning Inference in Web Browsers

VisEval: A Benchmark for Data Visualization in the Era of Large Language Models

Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations

Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

Autodroid: LLM-Powered Task Automation in Android

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators

AutoMS: Automated Service for mmWave Coverage Optimization using Low-cost Metasurfaces

Exploring the Feasibility of Remote Cardiac Auscultation Using Earphones

Gastag: A Gas Sensing Paradigm using Graphene-based Tags

MSense: Boosting Wireless Sensing Capability Under Motion Interference

MuDiS: An Audio-independent, Wide-angle, and Leak-free Multi-directional Speaker

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Attentive Mask CLIP

ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation

Accurate and Structured Pruning for Efficient Automatic Speech Recognition

End-to-End Word-Level Pronunciation Assessment with MASK Pre-training

CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition

Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text

A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition

Leveraging Pretrained Representations with Task-related Keywords for Alzheimer’s Disease Detection

Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer

EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark

Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition

SIMPLE: Specialized Model-Sample Matching for Domain Generalization

Personalized Graph Signal Processing for Collaborative Filtering

Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking

Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling

Similarity Distribution based Membership Inference Attack on Person Re-identification

Towards Inference Efficient Deep Ensemble Learning

Turbo: Opportunistic Enhancement for Edge Video Analytics

CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis

CLARE: A Semi-supervised Community Detection Algorithm

Analyzing and Mitigating Interference in Neural Architecture Search

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training

SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble

Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech

Mixed-phoneme bert: Improving bert with mixed phoneme and sup-phoneme representations for text to speech

RendNet: Unified 2D/3D Recognizer With Latent Space Rendering

Decomposed Meta-Learning for Few-Shot Named Entity Recognition

Metabolic characterization of hypertrophic cardiomyopathy in human heart

Privacy-preserving Online AutoML for Domain-Specific Face Detection

Accurate and Explainable Recommendation via Review Rationalization

Cross-Modal Ambiguity Learning for Multimodal Fake News Detection

FIRE: Fast Incremental Recommendation with Graph Signal Processing

MINDSim: User Simulator for News Recommenders

Recursive Disentanglement Network

Variational oracle guiding for reinforcement learning

Astraea: towards QoS-aware and resource-efficient multi-stage GPU services

Invariant Information Bottleneck for Domain Generalization

Neural Piecewise-Constant Delay Differential Equations

Recognizing Vector Graphics without Rasterization

Reinforcement Learning Enhanced Explainer for Graph Neural Networks

Towards Generating Real-World Time Series Data