Xufang Luo

Senior Researcher

출판물

자료 보기:

- $\Delta L$ Normalization: Rethink Loss Aggregation in RLVR
  
  Zhiyuan He, Xufang Luo, Yike Zhang, Yuqing Yang, Lili Qiu
  
  September 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 프로젝트
- SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
  
  ICLR 2025 | April 2025
  
  Publication Github 프로젝트
- 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 프로젝트
- 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 프로젝트
- Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
  
  Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
  
  NPJ Parkinson's Disease | December 2024, 제 10 권
  
  DOI Publication 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 프로젝트
- 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
- Addressing Signal Delay in Deep Reinforcement Learning
  
  Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
  
  ICLR 2024 | May 2024
  
  PDF Publication Github
- CNN Kernels Can Be the Best Shapelets
  
  Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li
  
  The Twelfth International Conference on Learning Representations | May 2024
  
  PDF
- 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 프로젝트 프로젝트
- Large Multimodal Model for Real-World Radiology Report Generation
  
  Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu
  
  December 2023
  
  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 프로젝트
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 2023
  
  Publication
- Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
  
  Eric Qu, Xufang Luo, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  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, 제 1 권: pp. 445-461
  
  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
- MINDSim: User Simulator for News Recommenders
  
  Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
  
  TheWebConf 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
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  2022 International Conference on Learning Representations | March 2022
  
  Publication
- Path-BN: Towards Effective Batch Normalization in the Path Space for ReLU Networks
  
  Xufang Luo, Qi Meng, Wei Chen, Tie-Yan Liu
  
  June 2021

- $\Delta L$ Normalization: Rethink Loss Aggregation in RLVR
  
  Zhiyuan He, Xufang Luo, Yike Zhang, Yuqing Yang, Lili Qiu
  
  September 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 프로젝트
- SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
  
  ICLR 2025 | April 2025
  
  Publication Github 프로젝트
- 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 프로젝트
- 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 프로젝트
- Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
  
  Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
  
  NPJ Parkinson's Disease | December 2024, 제 10 권
  
  DOI Publication 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
- Addressing Signal Delay in Deep Reinforcement Learning
  
  Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
  
  ICLR 2024 | May 2024
  
  PDF Publication Github
- CNN Kernels Can Be the Best Shapelets
  
  Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li
  
  The Twelfth International Conference on Learning Representations | May 2024
  
  PDF
- 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 프로젝트 프로젝트
- Large Multimodal Model for Real-World Radiology Report Generation
  
  Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu
  
  December 2023
  
  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 프로젝트
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 2023
  
  Publication
- Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
  
  Eric Qu, Xufang Luo, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  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, 제 1 권: pp. 445-461
  
  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
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  2022 International Conference on Learning Representations | March 2022
  
  Publication
- Path-BN: Towards Effective Batch Normalization in the Path Space for ReLU Networks
  
  Xufang Luo, Qi Meng, Wei Chen, Tie-Yan Liu
  
  June 2021
- 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 프로젝트
- 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 프로젝트
- 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 프로젝트
- 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 프로젝트 프로젝트
- 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 프로젝트
- SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
  
  ICLR 2025 | April 2025
  
  Publication Github 프로젝트
- 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 프로젝트
- 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 프로젝트
- Large Multimodal Model for Real-World Radiology Report Generation
  
  Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu
  
  December 2023
  
  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, 제 1 권: pp. 445-461
  
  Publication
- Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
  
  Eric Qu, Xufang Luo, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  Publication
- MINDSim: User Simulator for News Recommenders
  
  Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
  
  TheWebConf 2022 | April 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

- $\Delta L$ Normalization: Rethink Loss Aggregation in RLVR
  
  Zhiyuan He, Xufang Luo, Yike Zhang, Yuqing Yang, Lili Qiu
  
  September 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 프로젝트
- 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
- Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
  
  Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
  
  NPJ Parkinson's Disease | December 2024, 제 10 권
  
  DOI Publication 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, 제 1 권: pp. 445-461
  
  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 프로젝트
- SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
  
  ICLR 2025 | April 2025
  
  Publication Github 프로젝트
- 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 프로젝트
- 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 프로젝트
- Addressing Signal Delay in Deep Reinforcement Learning
  
  Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
  
  ICLR 2024 | May 2024
  
  PDF Publication Github
- CNN Kernels Can Be the Best Shapelets
  
  Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li
  
  The Twelfth International Conference on Learning Representations | May 2024
  
  PDF
- 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 프로젝트 프로젝트
- 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 프로젝트
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 2023
  
  Publication
- Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
  
  Eric Qu, Xufang Luo, Dongsheng Li
  
  ICLR 23 | May 2023
  
  Spotlight
  
  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
- MINDSim: User Simulator for News Recommenders
  
  Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
  
  TheWebConf 2022 | April 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
- 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
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  2022 International Conference on Learning Representations | March 2022
  
  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
- Large Multimodal Model for Real-World Radiology Report Generation
  
  Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu
  
  December 2023
  
  Publication
- Path-BN: Towards Effective Batch Normalization in the Path Space for ReLU Networks
  
  Xufang Luo, Qi Meng, Wei Chen, Tie-Yan Liu
  
  June 2021

Xufang Luo

출판물

$\Delta L$ Normalization: Rethink Loss Aggregation in RLVR

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

SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents

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

Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach

LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation

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

Addressing Signal Delay in Deep Reinforcement Learning

CNN Kernels Can Be the Best Shapelets

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

Large Multimodal Model for Real-World Radiology Report Generation

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

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer

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

Metabolic characterization of hypertrophic cardiomyopathy in human heart

Accurate and Explainable Recommendation via Review Rationalization

MINDSim: User Simulator for News Recommenders

Variational oracle guiding for reinforcement learning

Variational oracle guiding for reinforcement learning

Path-BN: Towards Effective Batch Normalization in the Path Space for ReLU Networks

$\Delta L$ Normalization: Rethink Loss Aggregation in RLVR

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

SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents

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

Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach

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

Addressing Signal Delay in Deep Reinforcement Learning

CNN Kernels Can Be the Best Shapelets

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

Large Multimodal Model for Real-World Radiology Report Generation

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

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer

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

Metabolic characterization of hypertrophic cardiomyopathy in human heart

Variational oracle guiding for reinforcement learning

Variational oracle guiding for reinforcement learning

Path-BN: Towards Effective Batch Normalization in the Path Space for ReLU Networks

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

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

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

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

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

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

SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents

LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation

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

Large Multimodal Model for Real-World Radiology Report Generation

Metabolic characterization of hypertrophic cardiomyopathy in human heart

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer

MINDSim: User Simulator for News Recommenders

Accurate and Explainable Recommendation via Review Rationalization

$\Delta L$ Normalization: Rethink Loss Aggregation in RLVR

LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation

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

Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach

Metabolic characterization of hypertrophic cardiomyopathy in human heart

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

SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents

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

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

Addressing Signal Delay in Deep Reinforcement Learning

CNN Kernels Can Be the Best Shapelets

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

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

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer

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

MINDSim: User Simulator for News Recommenders

Accurate and Explainable Recommendation via Review Rationalization

Variational oracle guiding for reinforcement learning

Variational oracle guiding for reinforcement learning

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