Peng Cheng

Partner Research Manager

论文与出版物

查看方式：

- Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
  
  Zheheng Luo, Xin Zhang, Xiao Liu, Haoling Li, Yeyun Gong, Qi Chen, Peng Cheng
  
  ACL | August 2025
  
  DOI Publication Publication
- Mina: Fine-Grained In-network Aggregation Resource Scheduling for Machine Learning Service
  
  Shichen Dong, Zhixiong Niu, Mingchao Zhang, Zhiying Xu, Chuntao Hu, Pengzhi Zhu, Qingchun Song, Lei Qu, Peng Cheng, Cam-Tu Nguyen, Shaoling Sun, Xiaohu Xu, Yongqiang Xiong, Wei Wang, Xiaoliang Wang
  
  IEEE INFOCOM 2025 - IEEE Conference on Computer Communications | May 2025, pp. 1-10
  
  Publication
- Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
  
  Haoling Li, Xin Zhang, Xiao Liu, Yeyun Gong, Yifan Wang, Qi Chen, Peng Cheng
  
  AAAI Conference on Artificial Intelligence, 2025 | April 2025
  
  Oral Presentation
  
  DOI Publication
- Optimizing Large Language Model Training Using FP4 Quantization
  
  Ruizhe Wang, Yeyun Gong, Xiao Liu, Guoshuai Zhao, Ziyue Yang, Baining Guo, Zhengjun Zha, Peng Cheng
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Integrative Decoding: Improve Factuality via Implicit Self-consistency
  
  Yi Cheng, Xiao Liang, Yeyun Gong, Wen Xiao, Song Wang, Yuji Zhang, Wenjun Hou, Kaishuai Xu, Wenge Liu, Wenjie Li, Jian Jiao, Qi Chen, Peng Cheng, Wayne Xiong
  
  ICLR 2025 | January 2025
  
  DOI Publication Publication
- NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering
  
  Zhe Zhou, Yiqi Chen, Tao Zhang, Yang Wang, Ran Shu, Shuotao Xu, Peng Cheng, Lei Qu, Yongqiang Xiong, Jie Zhang, Guangyu Sun
  
  2024 International Symposium on Microarchitecture | November 2024
  
  Publication
- Automated Proof Generation for Rust Code via Self-Evolution
  
  Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
  
  ICLR 2025 | October 2024
  
  Publication 项目
- SmartNIC-Enabled Live Migration for Storage-Optimized VMs
  
  Jiechen Zhao, Ran Shu, Lei Qu, Ziyue Yang, Natalie Enright Jerger, Derek Chiou, Peng Cheng, Yongqiang Xiong
  
  APSys | September 2024
  
  DOI
- SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation
  
  Yifan Xiong, Yuting Jiang, Ziyue Yang, Lei Qu, Guoshuai Zhao, Shuguang Liu, Dong Zhong, Boris Pinzur, Jie Zhang, Yang Wang, Jithin Jose, Hossein Pourreza, Jeff Baxter, Kushal Datta, Prabhat Ram, Luke Melton, Joe Chau, Peng Cheng, Yongqiang Xiong, Lidong Zhou
  
  USENIX ATC | July 2024
  
  Best Paper Award
  
  Publication PDF Preprint
- SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
  
  Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li , Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang
  
  SOSP'23 | October 2023
  
  Microsoft Research Blog
  
  https://www.microsoft.com/en-us/research/blog/unified-database-laying-the-foundation-for-large-language-model-vertical-applications/
  
  Publication
- Query Processing on Gaming Consoles
  
  Wei Cui, Qianxi Zhang, Jesús Camacho-Rodríguez, Spyros Blanas, Brandon Haynes, Yinan Li, Peng Cheng, Ravishankar Ramamurthy, Rathijit Sen, Matteo Interlandi
  
  June 2023
  
  DOI Publication
- ARK: GPU-driven Code Execution for Distributed Deep Learning
  
  Changho Hwang, Ran Shu, Peng Cheng, Yongqiang Xiong, KyoungSoo Park
  
  NSDI | April 2023
  
  Publication
- ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning
  
  Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu
  
  ASPLOS 2023 | March 2023
  
  Publication
- An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
  
  Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | October 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
- A Disaggregate Data Collecting Approach for Loss-Tolerant Applications
  
  Ziyuan Liu, Zhixiong Niu, Ran Shu, Peng Cheng, Wenxue Cheng, Yongqiang Xiong, Lihua Yuan, Jacob Nelson, Dan R. K. Ports
  
  6th Asia-Pacific Workshop on Networking (APNet '22) | July 2022
  
  Publication 项目
- OpenNetLab: Open Platform for RL-based Congestion Control for Real-Time Communications
  
  Jeongyoon Eo, Zhixiong Niu, Wenxue Cheng, Francis Y. Yan, Rui Gao, Jorina Kardhashi, Scott Inglis, Michael Revow, Byung-Gon Chun, Peng Cheng, Yongqiang Xiong
  
  Asia-Pacific Workshop on Networking (APNet ’22) | July 2022
  
  Best Paper Award
  
  Publication
- Tutel: Adaptive Mixture-of-Experts at Scale
  
  Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
  
  July 2022
  
  Publication
- Towards User-Defined SLA in Cloud Flash Storage
  
  Jinhao Fan, Ziyue Yang, Ran Shu, Peng Cheng, Yongqiang Xiong
  
  The 12th ACM SIGOPS Asia-Pacific Workshop on Systems | August 2021
  
  PDF Publication
- Accelerating GNN training with locality-aware partial execution
  
  Taehyun Kim, Changho Hwang, KyoungSoo Park, Zhiqi Lin, Peng Cheng, Youshan Miao, Lingxiao Ma, Yongqiang Xiong
  
  August 2021
  
  Publication
- Direct Universal Access: Making Data Center Resources Available to FPGA
  
  Ran Shu, Peng Cheng, Guo Chen, Zhiyuan Guo, Lei Qu, Yongqiang Xiong, Derek Chiou, Thomas Moscibroda
  
  NSDI | March 2019
  
  PDF
- Micro-burst in Data Centers: Observations, Analysis, and Mitigations
  
  Danfeng Shan, Fengyuan Ren, Peng Cheng, Ran Shu, Chuanxiong Guo
  
  ICNP | September 2018
  
  Publication
- Multi-Path Transport for RDMA in Datacenters
  
  Yuanwei Lu, Guo Chen, Bojie Li, Kun Tan, Yongqiang Xiong, Peng Cheng, Jiansong Zhang, Enhong Chen, Thomas Moscibroda
  
  NSDI | April 2018
  
  PDF
- Network Stack as a Service in the Cloud
  
  Zhixiong Niu, Hong Xu, Dongsu Han, Peng Cheng, Yongqiang Xiong, Guo Chen, Keith Winstein
  
  HotNets-XVI | December 2017
  
  Publication Publication
- Tagger: Practical PFC Deadlock Prevention in Data Center Networks
  
  Shuihai Hu, Yibo Zhu, Peng Cheng, Chuanxiong Guo, Kun Tan, Jitu Padhye, Kai Chen
  
  CoNEXT | November 2017
  
  ISBN: 978-1-4503-5422-6
  
  论文与出版物论文与出版物
- The Feniks FPGA Operating System for Cloud Computing
  
  Jiansong Zhang, Yongqiang Xiong, Ningyi Xu, Ran Shu, Bojie Li, Peng Cheng, Guo Chen, Thomas Moscibroda
  
  ACM APSys | September 2017
  
  ISBN: 978-1-4503-5197-3
  
  论文与出版物
- Memory Efficient Loss Recovery for Hardware-based Transport in Datacenter
  
  Yuanwei Lu, Guo Chen, Zhenyuan Ruan, Wencong Xiao, Bojie Li, Jiansong Zhang, Yongqiang Xiong, Peng Cheng, Enhong Chen
  
  ACM APNet | August 2017
  
  ISBN: 978-1-4503-5244-4
  
  论文与出版物
- Performance Analysis of Randomized Data Fetching in Cluster Computing
  
  Tong Zhang, Peng Cheng, Wenxue Cheng, Bo Wang, Fengyuan Ren
  
  IEEE IWQos | July 2017
  
  ISBN: 978-1-5386-2704-4
  
  论文与出版物论文与出版物
- Deadlocks in Datacenter Networks: Why Do They Form, and How to Avoid Them
  
  Shuihai Hu, Yibo Zhu, Peng Cheng, Chuanxiong Guo, Kun Tan, Jitu Padhye, Kai Chen
  
  HotNets-XV | November 2016
  
  Publication
- ClickNP: Highly Flexible and High-performance Network Processing with Reconfigurable Hardware
  
  Bojie Li, Kun Tan, Larry Luo, Renqian Luo, Yanqing Peng, Ningyi Xu, Yongqiang Xiong, Peng Cheng
  
  ACM SIGCOMM | July 2016
  
  论文与出版物论文与出版物项目
- Fast and Cautious: Leveraging Multi-path Diversity for Transport Loss Recovery in Data Centers
  
  Yuanwei Lu, Yuan Meng, Dan Pei, Peng Cheng, Larry Luo, Yongqiang Xiong, Xiaoliang Wang, Youjian Zhao
  
  Annual Technical Conference | June 2016
  
  论文与出版物项目
- TFC: Token Flow Control in Data Center Networks
  
  Jiao Zhang, Fengyuan Ren, Ran Shu, Peng Cheng
  
  EuroSys | April 2016
  
  论文与出版物
- An Energy Efficiency Perspective on Rate Adaptation for 802.11 n NIC
  
  Chi-Yu Li, Peng Cheng, Songwu Lu, Xinbing Wang, Fengyuan Ren, Tao Wang
  
  IEEE Transactions on Mobile Computing | July 2015
  
  论文与出版物
- Catch the Whole Lot in an Action: Rapid Precise Packet Loss Notification in Data Center
  
  Peng Cheng, Fengyuan Ren, Ran Shu, Chuang Lin
  
  NSDI | April 2014
  
  论文与出版物 Github
- Ease the queue oscillation: analysis and enhancement of DCTCP
  
  Wen Chen, Peng Cheng, Fengyuan Ren, Ran Shu, Chuang Lin
  
  ICDCS | July 2013
  
  论文与出版物

- Mina: Fine-Grained In-network Aggregation Resource Scheduling for Machine Learning Service
  
  Shichen Dong, Zhixiong Niu, Mingchao Zhang, Zhiying Xu, Chuntao Hu, Pengzhi Zhu, Qingchun Song, Lei Qu, Peng Cheng, Cam-Tu Nguyen, Shaoling Sun, Xiaohu Xu, Yongqiang Xiong, Wei Wang, Xiaoliang Wang
  
  IEEE INFOCOM 2025 - IEEE Conference on Computer Communications | May 2025, pp. 1-10
  
  Publication
- Automated Proof Generation for Rust Code via Self-Evolution
  
  Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
  
  ICLR 2025 | October 2024
  
  Publication 项目
- SmartNIC-Enabled Live Migration for Storage-Optimized VMs
  
  Jiechen Zhao, Ran Shu, Lei Qu, Ziyue Yang, Natalie Enright Jerger, Derek Chiou, Peng Cheng, Yongqiang Xiong
  
  APSys | September 2024
  
  DOI
- SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation
  
  Yifan Xiong, Yuting Jiang, Ziyue Yang, Lei Qu, Guoshuai Zhao, Shuguang Liu, Dong Zhong, Boris Pinzur, Jie Zhang, Yang Wang, Jithin Jose, Hossein Pourreza, Jeff Baxter, Kushal Datta, Prabhat Ram, Luke Melton, Joe Chau, Peng Cheng, Yongqiang Xiong, Lidong Zhou
  
  USENIX ATC | July 2024
  
  Best Paper Award
  
  Publication PDF Preprint
- SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
  
  Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li , Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang
  
  SOSP'23 | October 2023
  
  Microsoft Research Blog
  
  https://www.microsoft.com/en-us/research/blog/unified-database-laying-the-foundation-for-large-language-model-vertical-applications/
  
  Publication
- ARK: GPU-driven Code Execution for Distributed Deep Learning
  
  Changho Hwang, Ran Shu, Peng Cheng, Yongqiang Xiong, KyoungSoo Park
  
  NSDI | April 2023
  
  Publication
- ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning
  
  Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu
  
  ASPLOS 2023 | March 2023
  
  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
- Tutel: Adaptive Mixture-of-Experts at Scale
  
  Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
  
  July 2022
  
  Publication
- A Disaggregate Data Collecting Approach for Loss-Tolerant Applications
  
  Ziyuan Liu, Zhixiong Niu, Ran Shu, Peng Cheng, Wenxue Cheng, Yongqiang Xiong, Lihua Yuan, Jacob Nelson, Dan R. K. Ports
  
  6th Asia-Pacific Workshop on Networking (APNet '22) | July 2022
  
  Publication 项目
- OpenNetLab: Open Platform for RL-based Congestion Control for Real-Time Communications
  
  Jeongyoon Eo, Zhixiong Niu, Wenxue Cheng, Francis Y. Yan, Rui Gao, Jorina Kardhashi, Scott Inglis, Michael Revow, Byung-Gon Chun, Peng Cheng, Yongqiang Xiong
  
  Asia-Pacific Workshop on Networking (APNet ’22) | July 2022
  
  Best Paper Award
  
  Publication
- Towards User-Defined SLA in Cloud Flash Storage
  
  Jinhao Fan, Ziyue Yang, Ran Shu, Peng Cheng, Yongqiang Xiong
  
  The 12th ACM SIGOPS Asia-Pacific Workshop on Systems | August 2021
  
  PDF Publication
- Accelerating GNN training with locality-aware partial execution
  
  Taehyun Kim, Changho Hwang, KyoungSoo Park, Zhiqi Lin, Peng Cheng, Youshan Miao, Lingxiao Ma, Yongqiang Xiong
  
  August 2021
  
  Publication
- Direct Universal Access: Making Data Center Resources Available to FPGA
  
  Ran Shu, Peng Cheng, Guo Chen, Zhiyuan Guo, Lei Qu, Yongqiang Xiong, Derek Chiou, Thomas Moscibroda
  
  NSDI | March 2019
  
  PDF
- Micro-burst in Data Centers: Observations, Analysis, and Mitigations
  
  Danfeng Shan, Fengyuan Ren, Peng Cheng, Ran Shu, Chuanxiong Guo
  
  ICNP | September 2018
  
  Publication
- Multi-Path Transport for RDMA in Datacenters
  
  Yuanwei Lu, Guo Chen, Bojie Li, Kun Tan, Yongqiang Xiong, Peng Cheng, Jiansong Zhang, Enhong Chen, Thomas Moscibroda
  
  NSDI | April 2018
  
  PDF
- Network Stack as a Service in the Cloud
  
  Zhixiong Niu, Hong Xu, Dongsu Han, Peng Cheng, Yongqiang Xiong, Guo Chen, Keith Winstein
  
  HotNets-XVI | December 2017
  
  Publication Publication
- Tagger: Practical PFC Deadlock Prevention in Data Center Networks
  
  Shuihai Hu, Yibo Zhu, Peng Cheng, Chuanxiong Guo, Kun Tan, Jitu Padhye, Kai Chen
  
  CoNEXT | November 2017
  
  ISBN: 978-1-4503-5422-6
  
  论文与出版物论文与出版物
- The Feniks FPGA Operating System for Cloud Computing
  
  Jiansong Zhang, Yongqiang Xiong, Ningyi Xu, Ran Shu, Bojie Li, Peng Cheng, Guo Chen, Thomas Moscibroda
  
  ACM APSys | September 2017
  
  ISBN: 978-1-4503-5197-3
  
  论文与出版物
- Memory Efficient Loss Recovery for Hardware-based Transport in Datacenter
  
  Yuanwei Lu, Guo Chen, Zhenyuan Ruan, Wencong Xiao, Bojie Li, Jiansong Zhang, Yongqiang Xiong, Peng Cheng, Enhong Chen
  
  ACM APNet | August 2017
  
  ISBN: 978-1-4503-5244-4
  
  论文与出版物
- Performance Analysis of Randomized Data Fetching in Cluster Computing
  
  Tong Zhang, Peng Cheng, Wenxue Cheng, Bo Wang, Fengyuan Ren
  
  IEEE IWQos | July 2017
  
  ISBN: 978-1-5386-2704-4
  
  论文与出版物论文与出版物
- Deadlocks in Datacenter Networks: Why Do They Form, and How to Avoid Them
  
  Shuihai Hu, Yibo Zhu, Peng Cheng, Chuanxiong Guo, Kun Tan, Jitu Padhye, Kai Chen
  
  HotNets-XV | November 2016
  
  Publication
- ClickNP: Highly Flexible and High-performance Network Processing with Reconfigurable Hardware
  
  Bojie Li, Kun Tan, Larry Luo, Renqian Luo, Yanqing Peng, Ningyi Xu, Yongqiang Xiong, Peng Cheng
  
  ACM SIGCOMM | July 2016
  
  论文与出版物论文与出版物项目
- Fast and Cautious: Leveraging Multi-path Diversity for Transport Loss Recovery in Data Centers
  
  Yuanwei Lu, Yuan Meng, Dan Pei, Peng Cheng, Larry Luo, Yongqiang Xiong, Xiaoliang Wang, Youjian Zhao
  
  Annual Technical Conference | June 2016
  
  论文与出版物项目
- TFC: Token Flow Control in Data Center Networks
  
  Jiao Zhang, Fengyuan Ren, Ran Shu, Peng Cheng
  
  EuroSys | April 2016
  
  论文与出版物
- An Energy Efficiency Perspective on Rate Adaptation for 802.11 n NIC
  
  Chi-Yu Li, Peng Cheng, Songwu Lu, Xinbing Wang, Fengyuan Ren, Tao Wang
  
  IEEE Transactions on Mobile Computing | July 2015
  
  论文与出版物
- Catch the Whole Lot in an Action: Rapid Precise Packet Loss Notification in Data Center
  
  Peng Cheng, Fengyuan Ren, Ran Shu, Chuang Lin
  
  NSDI | April 2014
  
  论文与出版物 Github
- Ease the queue oscillation: analysis and enhancement of DCTCP
  
  Wen Chen, Peng Cheng, Fengyuan Ren, Ran Shu, Chuang Lin
  
  ICDCS | July 2013
  
  论文与出版物
- Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
  
  Zheheng Luo, Xin Zhang, Xiao Liu, Haoling Li, Yeyun Gong, Qi Chen, Peng Cheng
  
  ACL | August 2025
  
  DOI Publication Publication
- Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
  
  Haoling Li, Xin Zhang, Xiao Liu, Yeyun Gong, Yifan Wang, Qi Chen, Peng Cheng
  
  AAAI Conference on Artificial Intelligence, 2025 | April 2025
  
  Oral Presentation
  
  DOI Publication
- Optimizing Large Language Model Training Using FP4 Quantization
  
  Ruizhe Wang, Yeyun Gong, Xiao Liu, Guoshuai Zhao, Ziyue Yang, Baining Guo, Zhengjun Zha, Peng Cheng
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Integrative Decoding: Improve Factuality via Implicit Self-consistency
  
  Yi Cheng, Xiao Liang, Yeyun Gong, Wen Xiao, Song Wang, Yuji Zhang, Wenjun Hou, Kaishuai Xu, Wenge Liu, Wenjie Li, Jian Jiao, Qi Chen, Peng Cheng, Wayne Xiong
  
  ICLR 2025 | January 2025
  
  DOI Publication Publication
- Automated Proof Generation for Rust Code via Self-Evolution
  
  Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
  
  ICLR 2025 | October 2024
  
  Publication 项目
- ARK: GPU-driven Code Execution for Distributed Deep Learning
  
  Changho Hwang, Ran Shu, Peng Cheng, Yongqiang Xiong, KyoungSoo Park
  
  NSDI | April 2023
  
  Publication
- An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
  
  Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | October 2022
  
  Publication
- OpenNetLab: Open Platform for RL-based Congestion Control for Real-Time Communications
  
  Jeongyoon Eo, Zhixiong Niu, Wenxue Cheng, Francis Y. Yan, Rui Gao, Jorina Kardhashi, Scott Inglis, Michael Revow, Byung-Gon Chun, Peng Cheng, Yongqiang Xiong
  
  Asia-Pacific Workshop on Networking (APNet ’22) | July 2022
  
  Best Paper Award
  
  Publication
- NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering
  
  Zhe Zhou, Yiqi Chen, Tao Zhang, Yang Wang, Ran Shu, Shuotao Xu, Peng Cheng, Lei Qu, Yongqiang Xiong, Jie Zhang, Guangyu Sun
  
  2024 International Symposium on Microarchitecture | November 2024
  
  Publication
- Automated Proof Generation for Rust Code via Self-Evolution
  
  Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
  
  ICLR 2025 | October 2024
  
  Publication 项目
- Query Processing on Gaming Consoles
  
  Wei Cui, Qianxi Zhang, Jesús Camacho-Rodríguez, Spyros Blanas, Brandon Haynes, Yinan Li, Peng Cheng, Ravishankar Ramamurthy, Rathijit Sen, Matteo Interlandi
  
  June 2023
  
  DOI Publication

- Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
  
  Zheheng Luo, Xin Zhang, Xiao Liu, Haoling Li, Yeyun Gong, Qi Chen, Peng Cheng
  
  ACL | August 2025
  
  DOI Publication Publication
- Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
  
  Haoling Li, Xin Zhang, Xiao Liu, Yeyun Gong, Yifan Wang, Qi Chen, Peng Cheng
  
  AAAI Conference on Artificial Intelligence, 2025 | April 2025
  
  Oral Presentation
  
  DOI Publication
- Optimizing Large Language Model Training Using FP4 Quantization
  
  Ruizhe Wang, Yeyun Gong, Xiao Liu, Guoshuai Zhao, Ziyue Yang, Baining Guo, Zhengjun Zha, Peng Cheng
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Integrative Decoding: Improve Factuality via Implicit Self-consistency
  
  Yi Cheng, Xiao Liang, Yeyun Gong, Wen Xiao, Song Wang, Yuji Zhang, Wenjun Hou, Kaishuai Xu, Wenge Liu, Wenjie Li, Jian Jiao, Qi Chen, Peng Cheng, Wayne Xiong
  
  ICLR 2025 | January 2025
  
  DOI Publication Publication
- NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering
  
  Zhe Zhou, Yiqi Chen, Tao Zhang, Yang Wang, Ran Shu, Shuotao Xu, Peng Cheng, Lei Qu, Yongqiang Xiong, Jie Zhang, Guangyu Sun
  
  2024 International Symposium on Microarchitecture | November 2024
  
  Publication
- Automated Proof Generation for Rust Code via Self-Evolution
  
  Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
  
  ICLR 2025 | October 2024
  
  Publication 项目
- SmartNIC-Enabled Live Migration for Storage-Optimized VMs
  
  Jiechen Zhao, Ran Shu, Lei Qu, Ziyue Yang, Natalie Enright Jerger, Derek Chiou, Peng Cheng, Yongqiang Xiong
  
  APSys | September 2024
  
  DOI
- SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation
  
  Yifan Xiong, Yuting Jiang, Ziyue Yang, Lei Qu, Guoshuai Zhao, Shuguang Liu, Dong Zhong, Boris Pinzur, Jie Zhang, Yang Wang, Jithin Jose, Hossein Pourreza, Jeff Baxter, Kushal Datta, Prabhat Ram, Luke Melton, Joe Chau, Peng Cheng, Yongqiang Xiong, Lidong Zhou
  
  USENIX ATC | July 2024
  
  Best Paper Award
  
  Publication PDF Preprint
- SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
  
  Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li , Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang
  
  SOSP'23 | October 2023
  
  Microsoft Research Blog
  
  https://www.microsoft.com/en-us/research/blog/unified-database-laying-the-foundation-for-large-language-model-vertical-applications/
  
  Publication
- Query Processing on Gaming Consoles
  
  Wei Cui, Qianxi Zhang, Jesús Camacho-Rodríguez, Spyros Blanas, Brandon Haynes, Yinan Li, Peng Cheng, Ravishankar Ramamurthy, Rathijit Sen, Matteo Interlandi
  
  June 2023
  
  DOI Publication
- ARK: GPU-driven Code Execution for Distributed Deep Learning
  
  Changho Hwang, Ran Shu, Peng Cheng, Yongqiang Xiong, KyoungSoo Park
  
  NSDI | April 2023
  
  Publication
- ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning
  
  Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu
  
  ASPLOS 2023 | March 2023
  
  Publication
- An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
  
  Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | October 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
- Tutel: Adaptive Mixture-of-Experts at Scale
  
  Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
  
  July 2022
  
  Publication
- A Disaggregate Data Collecting Approach for Loss-Tolerant Applications
  
  Ziyuan Liu, Zhixiong Niu, Ran Shu, Peng Cheng, Wenxue Cheng, Yongqiang Xiong, Lihua Yuan, Jacob Nelson, Dan R. K. Ports
  
  6th Asia-Pacific Workshop on Networking (APNet '22) | July 2022
  
  Publication 项目
- OpenNetLab: Open Platform for RL-based Congestion Control for Real-Time Communications
  
  Jeongyoon Eo, Zhixiong Niu, Wenxue Cheng, Francis Y. Yan, Rui Gao, Jorina Kardhashi, Scott Inglis, Michael Revow, Byung-Gon Chun, Peng Cheng, Yongqiang Xiong
  
  Asia-Pacific Workshop on Networking (APNet ’22) | July 2022
  
  Best Paper Award
  
  Publication
- Towards User-Defined SLA in Cloud Flash Storage
  
  Jinhao Fan, Ziyue Yang, Ran Shu, Peng Cheng, Yongqiang Xiong
  
  The 12th ACM SIGOPS Asia-Pacific Workshop on Systems | August 2021
  
  PDF Publication
- Accelerating GNN training with locality-aware partial execution
  
  Taehyun Kim, Changho Hwang, KyoungSoo Park, Zhiqi Lin, Peng Cheng, Youshan Miao, Lingxiao Ma, Yongqiang Xiong
  
  August 2021
  
  Publication
- Direct Universal Access: Making Data Center Resources Available to FPGA
  
  Ran Shu, Peng Cheng, Guo Chen, Zhiyuan Guo, Lei Qu, Yongqiang Xiong, Derek Chiou, Thomas Moscibroda
  
  NSDI | March 2019
  
  PDF
- Micro-burst in Data Centers: Observations, Analysis, and Mitigations
  
  Danfeng Shan, Fengyuan Ren, Peng Cheng, Ran Shu, Chuanxiong Guo
  
  ICNP | September 2018
  
  Publication
- Multi-Path Transport for RDMA in Datacenters
  
  Yuanwei Lu, Guo Chen, Bojie Li, Kun Tan, Yongqiang Xiong, Peng Cheng, Jiansong Zhang, Enhong Chen, Thomas Moscibroda
  
  NSDI | April 2018
  
  PDF
- Network Stack as a Service in the Cloud
  
  Zhixiong Niu, Hong Xu, Dongsu Han, Peng Cheng, Yongqiang Xiong, Guo Chen, Keith Winstein
  
  HotNets-XVI | December 2017
  
  Publication Publication
- Tagger: Practical PFC Deadlock Prevention in Data Center Networks
  
  Shuihai Hu, Yibo Zhu, Peng Cheng, Chuanxiong Guo, Kun Tan, Jitu Padhye, Kai Chen
  
  CoNEXT | November 2017
  
  ISBN: 978-1-4503-5422-6
  
  论文与出版物论文与出版物
- The Feniks FPGA Operating System for Cloud Computing
  
  Jiansong Zhang, Yongqiang Xiong, Ningyi Xu, Ran Shu, Bojie Li, Peng Cheng, Guo Chen, Thomas Moscibroda
  
  ACM APSys | September 2017
  
  ISBN: 978-1-4503-5197-3
  
  论文与出版物
- Memory Efficient Loss Recovery for Hardware-based Transport in Datacenter
  
  Yuanwei Lu, Guo Chen, Zhenyuan Ruan, Wencong Xiao, Bojie Li, Jiansong Zhang, Yongqiang Xiong, Peng Cheng, Enhong Chen
  
  ACM APNet | August 2017
  
  ISBN: 978-1-4503-5244-4
  
  论文与出版物
- Performance Analysis of Randomized Data Fetching in Cluster Computing
  
  Tong Zhang, Peng Cheng, Wenxue Cheng, Bo Wang, Fengyuan Ren
  
  IEEE IWQos | July 2017
  
  ISBN: 978-1-5386-2704-4
  
  论文与出版物论文与出版物
- Deadlocks in Datacenter Networks: Why Do They Form, and How to Avoid Them
  
  Shuihai Hu, Yibo Zhu, Peng Cheng, Chuanxiong Guo, Kun Tan, Jitu Padhye, Kai Chen
  
  HotNets-XV | November 2016
  
  Publication
- ClickNP: Highly Flexible and High-performance Network Processing with Reconfigurable Hardware
  
  Bojie Li, Kun Tan, Larry Luo, Renqian Luo, Yanqing Peng, Ningyi Xu, Yongqiang Xiong, Peng Cheng
  
  ACM SIGCOMM | July 2016
  
  论文与出版物论文与出版物项目
- Fast and Cautious: Leveraging Multi-path Diversity for Transport Loss Recovery in Data Centers
  
  Yuanwei Lu, Yuan Meng, Dan Pei, Peng Cheng, Larry Luo, Yongqiang Xiong, Xiaoliang Wang, Youjian Zhao
  
  Annual Technical Conference | June 2016
  
  论文与出版物项目
- TFC: Token Flow Control in Data Center Networks
  
  Jiao Zhang, Fengyuan Ren, Ran Shu, Peng Cheng
  
  EuroSys | April 2016
  
  论文与出版物
- Catch the Whole Lot in an Action: Rapid Precise Packet Loss Notification in Data Center
  
  Peng Cheng, Fengyuan Ren, Ran Shu, Chuang Lin
  
  NSDI | April 2014
  
  论文与出版物 Github
- Ease the queue oscillation: analysis and enhancement of DCTCP
  
  Wen Chen, Peng Cheng, Fengyuan Ren, Ran Shu, Chuang Lin
  
  ICDCS | July 2013
  
  论文与出版物
- Mina: Fine-Grained In-network Aggregation Resource Scheduling for Machine Learning Service
  
  Shichen Dong, Zhixiong Niu, Mingchao Zhang, Zhiying Xu, Chuntao Hu, Pengzhi Zhu, Qingchun Song, Lei Qu, Peng Cheng, Cam-Tu Nguyen, Shaoling Sun, Xiaohu Xu, Yongqiang Xiong, Wei Wang, Xiaoliang Wang
  
  IEEE INFOCOM 2025 - IEEE Conference on Computer Communications | May 2025, pp. 1-10
  
  Publication
- An Energy Efficiency Perspective on Rate Adaptation for 802.11 n NIC
  
  Chi-Yu Li, Peng Cheng, Songwu Lu, Xinbing Wang, Fengyuan Ren, Tao Wang
  
  IEEE Transactions on Mobile Computing | July 2015
  
  论文与出版物

Peng Cheng

论文与出版物

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training

Mina: Fine-Grained In-network Aggregation Resource Scheduling for Machine Learning Service

Enhancing Large Language Model Performance with Gradient-Based Parameter Selection

Optimizing Large Language Model Training Using FP4 Quantization

Integrative Decoding: Improve Factuality via Implicit Self-consistency

NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering

Automated Proof Generation for Rust Code via Self-Evolution

SmartNIC-Enabled Live Migration for Storage-Optimized VMs

SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation

SPFresh: Incremental In-Place Update for Billion-Scale Vector Search

Query Processing on Gaming Consoles

ARK: GPU-driven Code Execution for Distributed Deep Learning

ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context

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

A Disaggregate Data Collecting Approach for Loss-Tolerant Applications

OpenNetLab: Open Platform for RL-based Congestion Control for Real-Time Communications

Tutel: Adaptive Mixture-of-Experts at Scale

Towards User-Defined SLA in Cloud Flash Storage

Accelerating GNN training with locality-aware partial execution

Direct Universal Access: Making Data Center Resources Available to FPGA

Micro-burst in Data Centers: Observations, Analysis, and Mitigations

Multi-Path Transport for RDMA in Datacenters

Network Stack as a Service in the Cloud

Tagger: Practical PFC Deadlock Prevention in Data Center Networks

The Feniks FPGA Operating System for Cloud Computing

Memory Efficient Loss Recovery for Hardware-based Transport in Datacenter

Performance Analysis of Randomized Data Fetching in Cluster Computing

Deadlocks in Datacenter Networks: Why Do They Form, and How to Avoid Them

ClickNP: Highly Flexible and High-performance Network Processing with Reconfigurable Hardware

Fast and Cautious: Leveraging Multi-path Diversity for Transport Loss Recovery in Data Centers

TFC: Token Flow Control in Data Center Networks

An Energy Efficiency Perspective on Rate Adaptation for 802.11 n NIC

Catch the Whole Lot in an Action: Rapid Precise Packet Loss Notification in Data Center

Ease the queue oscillation: analysis and enhancement of DCTCP

Mina: Fine-Grained In-network Aggregation Resource Scheduling for Machine Learning Service

Automated Proof Generation for Rust Code via Self-Evolution

SmartNIC-Enabled Live Migration for Storage-Optimized VMs

SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation

SPFresh: Incremental In-Place Update for Billion-Scale Vector Search

ARK: GPU-driven Code Execution for Distributed Deep Learning

ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning

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

Tutel: Adaptive Mixture-of-Experts at Scale

A Disaggregate Data Collecting Approach for Loss-Tolerant Applications

OpenNetLab: Open Platform for RL-based Congestion Control for Real-Time Communications

Towards User-Defined SLA in Cloud Flash Storage

Accelerating GNN training with locality-aware partial execution

Direct Universal Access: Making Data Center Resources Available to FPGA

Micro-burst in Data Centers: Observations, Analysis, and Mitigations

Multi-Path Transport for RDMA in Datacenters

Network Stack as a Service in the Cloud

Tagger: Practical PFC Deadlock Prevention in Data Center Networks

The Feniks FPGA Operating System for Cloud Computing

Memory Efficient Loss Recovery for Hardware-based Transport in Datacenter

Performance Analysis of Randomized Data Fetching in Cluster Computing

Deadlocks in Datacenter Networks: Why Do They Form, and How to Avoid Them

ClickNP: Highly Flexible and High-performance Network Processing with Reconfigurable Hardware

Fast and Cautious: Leveraging Multi-path Diversity for Transport Loss Recovery in Data Centers

TFC: Token Flow Control in Data Center Networks

An Energy Efficiency Perspective on Rate Adaptation for 802.11 n NIC

Catch the Whole Lot in an Action: Rapid Precise Packet Loss Notification in Data Center

Ease the queue oscillation: analysis and enhancement of DCTCP

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training

Enhancing Large Language Model Performance with Gradient-Based Parameter Selection

Optimizing Large Language Model Training Using FP4 Quantization

Integrative Decoding: Improve Factuality via Implicit Self-consistency

Automated Proof Generation for Rust Code via Self-Evolution

ARK: GPU-driven Code Execution for Distributed Deep Learning

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context

OpenNetLab: Open Platform for RL-based Congestion Control for Real-Time Communications

NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering

Automated Proof Generation for Rust Code via Self-Evolution

Query Processing on Gaming Consoles

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training

Enhancing Large Language Model Performance with Gradient-Based Parameter Selection

Optimizing Large Language Model Training Using FP4 Quantization

Integrative Decoding: Improve Factuality via Implicit Self-consistency