Ease the Queue Oscillation: Analysis and Enhancement of DCTCP. - Wen Chen 026; Peng Cheng 005; Fengyuan Ren; Ran Shu 001; Chuang Lin 002 (ICDCS, 2013)

Catch the Whole Lot in an Action: Rapid Precise Packet Loss Notification in Data Center. - Peng Cheng 005; Fengyuan Ren; Ran Shu 001; Chuang Lin 002 (NSDI, 2014)

Slowing Little Quickens More: Improving DCTCP for Massive Concurrent Flows. - Mao Miao; Peng Cheng 005; Fengyuan Ren; Ran Shu 001 (ICPP, 2015)

TFC: token flow control in data center networks. - Jiao Zhang 002; Fengyuan Ren; Ran Shu 001; Peng Cheng 005 (EuroSys, 2016)

Deadlocks in Datacenter Networks: Why Do They Form, and How to Avoid Them. - Shuihai Hu; Yibo Zhu; Peng Cheng 005; Chuanxiong Guo; Kun Tan; Jitendra Padhye; Kai Chen 005 (HotNets, 2016)

ClickNP: Highly flexible and High-performance Network Processing with Reconfigurable Hardware. - Bojie Li; Kun Tan; Layong Larry Luo; Yanqing Peng; Renqian Luo; Ningyi Xu; Yongqiang Xiong; Peng Cheng 005 (SIGCOMM, 2016)

Fast and Cautious: Leveraging Multi-path Diversity for Transport Loss Recovery in Data Centers. - Guo Chen 001; Yuanwei Lu; Yuan Meng 002; Bojie Li; Kun Tan; Dan Pei; Peng Cheng 005; Layong Luo; Yongqiang Xiong; Xiaoliang Wang 001; Youjian Zhao (USENIX ATC, 2016)

Micro-burst in Data Centers: Observations, Implications, and Applications. - Danfeng Shan; Fengyuan Ren; Peng Cheng 005; Ran Shu 001 (CoRR, 2016)

An Energy Efficiency Perspective on Rate Adaptation for 802.11n NIC. - Chi-Yu Li 001; Chunyi Peng 001; Peng Cheng 005; Songwu Lu; Xinbing Wang; Fengyuan Ren; Tao Wang 004 (IEEE Trans. Mob. Comput., 2016)

Memory Efficient Loss Recovery for Hardware-based Transport in Datacenter. - Yuanwei Lu; Guo Chen 001; Zhenyuan Ruan; Wencong Xiao; Bojie Li; Jiansong Zhang 001; Yongqiang Xiong; Peng Cheng 005; Enhong Chen (APNet, 2017)

The Feniks FPGA Operating System for Cloud Computing. - Jiansong Zhang 001; Yongqiang Xiong; Ningyi Xu; Ran Shu 001; Bojie Li; Peng Cheng 005; Guo Chen 001; Thomas Moscibroda (APSys, 2017)

Network Stack as a Service in the Cloud. - Zhixiong Niu; Hong Xu 001; Dongsu Han; Peng Cheng 005; Yongqiang Xiong; Guo Chen 001; Keith Winstein (HotNets, 2017)

Performance analysis of randomized data fetching in cluster computing. - Tong Zhang 018; Peng Cheng 005; Wenxue Cheng; Bo Wang 066; Fengyuan Ren (IWQoS, 2017)

Micro-Burst in Data Centers: Observations, Analysis, and Mitigations. - Danfeng Shan; Fengyuan Ren; Peng Cheng 005; Ran Shu 001; Chuanxiong Guo (ICNP, 2018)

Multi-Path Transport for RDMA in Datacenters. - Yuanwei Lu; Guo Chen 001; Bojie Li; Kun Tan; Yongqiang Xiong; Peng Cheng 005; Jiansong Zhang 001; Enhong Chen; Thomas Moscibroda (NSDI, 2018)

FUSO: Fast Multi-Path Loss Recovery for Data Center Networks. - Guo Chen 001; Yuanwei Lu; Yuan Meng 002; Bojie Li; Kun Tan; Dan Pei; Peng Cheng 005; Layong Luo; Yongqiang Xiong; Xiaoliang Wang 001; Youjian Zhao (IEEE/ACM Trans. Netw., 2018)

DLBooster: Boosting End-to-End Deep Learning Workflows with Offloading Data Preprocessing Pipelines. - Yang Cheng; Dan Li 001; Zhiyuan Guo; Binyao Jiang; Jiaxin Lin; Xi Fan; Jinkun Geng; Xinyi Yu; Wei Bai 001; Lei Qu; Ran Shu 001; Peng Cheng 005; et al. (ICPP, 2019)

Direct Universal Access: Making Data Center Resources Available to FPGA. - Ran Shu 001; Peng Cheng 005; Guo Chen 001; Zhiyuan Guo; Lei Qu; Yongqiang Xiong; Derek Chiou; Thomas Moscibroda (NSDI, 2019)

NetKernel: Making Network Stack Part of the Virtualized Infrastructure. - Zhixiong Niu; Hong Xu 001; Peng Cheng 005; Yongqiang Xiong; Tao Wang 088; Dongsu Han; Keith Winstein (CoRR, 2019)

BotGraph: Web Bot Detection Based on Sitemap. - Yang Luo; Guozhen She; Peng Cheng 005; Yongqiang Xiong (CoRR, 2019)

MP-RDMA: Enabling RDMA With Multi-Path Transport in Datacenters. - Guo Chen 001; Yuanwei Lu; Bojie Li; Kun Tan; Yongqiang Xiong; Peng Cheng 005; Jiansong Zhang 001; Thomas Moscibroda (IEEE/ACM Trans. Netw., 2019)

Tagger: Practical PFC Deadlock Prevention in Data Center Networks. - Shuihai Hu; Yibo Zhu; Peng Cheng 005; Chuanxiong Guo; Kun Tan; Jitendra Padhye; Kai Chen 005 (IEEE/ACM Trans. Netw., 2019)

NetKernel: Making Network Stack Part of the Virtualized Infrastructure. - Zhixiong Niu; Hong Xu 001; Peng Cheng 005; Qiang Su; Yongqiang Xiong; Tao Wang 088; Dongsu Han; Keith Winstein (USENIX ATC, 2020)

Simulating Performance of ML Systems with Offline Profiling. - Hongming Huang; Peng Cheng 005; Hong Xu 001; Yongqiang Xiong (CoRR, 2020)

Observing and Mitigating Micro-Burst Traffic in Data Center Networks. - Danfeng Shan; Fengyuan Ren; Peng Cheng 005; Ran Shu 001; Chuanxiong Guo (IEEE/ACM Trans. Netw., 2020)

Towards user-defined SLA in cloud flash storage. - Jinhao Fan; Ziyue Yang; Ran Shu 001; Peng Cheng 005; Yongqiang Xiong (APSys, 2021)

Accelerating GNN training with locality-aware partial execution. - Taehyun Kim; Changho Hwang; KyoungSoo Park; Zhiqi Lin; Peng Cheng 005; Youshan Miao; Lingxiao Ma; Yongqiang Xiong (APSys, 2021)

Enhanced control path for repeated TCP connections. - Junho Lee; Gyeongsik Yang; Zhixiong Niu; Peng Cheng 005; Yongqiang Xiong; Chuck Yoo (APSys, 2021)

NFD: Using Behavior Models to Develop Cross-Platform Network Functions. - Hongyi Huang; Wenfei Wu; Yongchao He; Bangwen Deng; Ying Zhang 022; Yongqiang Xiong; Guo Chen 001; Yong Cui 001; Peng Cheng 005 (INFOCOM, 2021)

CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner. - Cheng Luo; Lei Qu; Youshan Miao; Peng Cheng 005; Yongqiang Xiong (CoRR, 2021)

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 005; Yongqiang Xiong (APNet, 2022)

A Disaggregate Data Collecting Approach for Loss-Tolerant Applications. - Ziyuan Liu; Zhixiong Niu; Ran Shu 001; Wenxue Cheng; Peng Cheng 005; Yongqiang Xiong; Lihua Yuan; Jacob Nelson 001; Dan R. K. Ports (APNet, 2022)

PipeDevice: a hardware-software co-design approach to intra-host container communication. - Qiang Su; Chuanwen Wang; Zhixiong Niu; Ran Shu 001; Peng Cheng 005; Yongqiang Xiong; Dongsu Han; Chun Jason Xue; Hong Xu 001 (CoNEXT, 2022)

Moneo: Non-intrusive Fine-grained Monitor for AI Infrastructure. - Yuting Jiang; Yifan Xiong 001; Lei Qu; Cheng Luo; Chen Tian 001; Peng Cheng 005; Yongqiang Xiong (ICC, 2022)

RuleCache: Accelerating Web Application Firewalls by On-line Learning Traffic Patterns. - Xiaoyi Chen; Qingni Shen; Peng Cheng 005; Yongqiang Xiong; Zhonghai Wu (ICWS, 2022)

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context. - Xiaoyu Chen; Xiangming Zhu 002; Yufeng Zheng; Pushi Zhang; Li Zhao 007; Wenxue Cheng; Peng Cheng 005; Yongqiang Xiong; Tao Qin 001; Jianyu Chen; Tie-Yan Liu (NeurIPS, 2022)

PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training. - Wei Zhang 149; Binghao Chen; Zhenhua Han; Quan Chen 002; Peng Cheng 005; Fan Yang 024; Ran Shu 001; Yuqing Yang 001; Minyi Guo (USENIX ATC, 2022)

Moneo: Monitoring Fine-grained Metrics Nonintrusively in AI Infrastructure. - Yuting Jiang; Yifan Xiong 001; Lei Qu; Cheng Luo; Chen Tian 001; Peng Cheng 005; Yongqiang Xiong (ACM SIGOPS Oper. Syst. Rev., 2022)

NetKernel: Making Network Stack Part of the Virtualized Infrastructure. - Zhixiong Niu; Qiang Su; Peng Cheng 005; Yongqiang Xiong; Dongsu Han; Keith Winstein; Chun Jason Xue; Hong Xu 001 (IEEE/ACM Trans. Netw., 2022)

MINA: Auto-scale In-network Aggregation for Machine Learning Service. - Shichen Dong; Zhixiong Niu; Mingchao Zhang; Zhiying Xu; Chuntao Hu; Wei Wang 002; Pengzhi Zhu; Qingchun Song; Lei Qu; Peng Cheng 005; Yongqiang Xiong; Chen Tian 001; et al. (APNet, 2023)

SlimeMold: Hardware Load Balancer at Scale in Datacenter. - Ziyuan Liu; Zhixiong Niu; Ran Shu 001; Liang Gao; Guohong Lai; Na Wang; Zongying He; Jacob Nelson 001; Dan R. K. Ports; Lihua Yuan; Peng Cheng 005; Yongqiang Xiong (APNet, 2023)

SegaNet: An Advanced IoT Cloud Gateway for Performant and Priority-Oriented Message Delivery. - Yeonho Yoo; Zhixiong Niu; Chuck Yoo; Peng Cheng 005; Yongqiang Xiong (APNet, 2023)

Polaris: Enhancing CXL-based Memory Expanders with Memory-side Prefetching. - Zhe Zhou 002; Shuotao Xu; Yiqi Chen; Tao Zhang 032; Ran Shu 001; Lei Qu; Peng Cheng 005; Yongqiang Xiong; Guangyu Sun 003 (APPT, 2023)

ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning. - Diandian Gu; Yihao Zhao; Yinmin Zhong; Yifan Xiong 001; Zhenhua Han; Peng Cheng 005; Fan Yang 024; Gang Huang 001; Xin Jin 008; Xuanzhe Liu (ASPLOS (2), 2023)

Query Processing on Gaming Consoles. - Wei Cui; Qianxi Zhang; Spyros Blanas; Jesús Camacho-Rodríguez; Brandon Haynes; Yinan Li; Ravi Ramamurthy; Peng Cheng 005; Rathijit Sen; Matteo Interlandi (DaMoN, 2023)

Tutel: Adaptive Mixture-of-Experts at Scale. - Changho Hwang; Wei Cui; Yifan Xiong 001; Ziyue Yang; Ze Liu; Han Hu 001; Zilong Wang; Rafael Salas; Jithin Jose; Prabhat Ram; Joe Chau; Peng Cheng 005; et al. (MLSys, 2023)

ARK: GPU-driven Code Execution for Distributed Deep Learning. - Changho Hwang; KyoungSoo Park; Ran Shu 001; Xinyuan Qu; Peng Cheng 005; Yongqiang Xiong (NSDI, 2023)

Poster: Meili: Towards SmartNIC as a Service. - Qiang Su; Shaofeng Wu; Zhixiong Niu; Ran Shu 001; Peng Cheng 005; Yongqiang Xiong; Chun Jason Xue; Zaoxing Liu; Hong Xu 001 (SIGCOMM, 2023)

SPFresh: Incremental In-Place Update for Billion-Scale Vector Search. - Yuming Xu; Hengyu Liang; Jin Li; Shuotao Xu; Qi Chen 009; Qianxi Zhang; Cheng Li 001; Ziyue Yang; Fan Yang 024; Yuqing Yang 001; Peng Cheng 005; Mao Yang 004 (SOSP, 2023)

FP8-LM: Training FP8 Large Language Models. - Houwen Peng; Kan Wu; Yixuan Wei; Guoshuai Zhao; Yuxiang Yang; Ze Liu; Yifan Xiong 001; Ziyue Yang; Bolin Ni; Jingcheng Hu; Ruihang Li; Miaosen Zhang; et al. (CoRR, 2023)

Meili: Enabling SmartNIC as a Service in the Cloud. - Qiang Su; Shaofeng Wu; Zhixiong Niu; Ran Shu 001; Peng Cheng 005; Yongqiang Xiong; Chun Jason Xue; Zaoxing Liu; Hong Xu 001 (CoRR, 2023)

SmartNIC-Enabled Live Migration for Storage-Optimized VMs. - Jiechen Zhao 002; Ran Shu 001; Lei Qu; Ziyue Yang; Natalie Enright Jerger; Derek Chiou; Peng Cheng 005; Yongqiang Xiong (APSys, 2024)

NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering. - Zhe Zhou 002; Yiqi Chen; Tao Zhang 032; Yang Wang 053; Ran Shu 001; Shuotao Xu; Peng Cheng 005; Lei Qu; Yongqiang Xiong; Jie Zhang 048; Guangyu Sun 003 (MICRO, 2024)

SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation. - Yifan Xiong 001; Yuting Jiang; Ziyue Yang; Lei Qu; Guoshuai Zhao; Shuguang Liu; Dong Zhong; Boris Pinzur; Jie Zhang 048; Yang Wang 053; Jithin Jose; Hossein Pourreza; et al. (USENIX ATC, 2024)

Anubis: Towards Reliable Cloud AI Infrastructure via Proactive Validation. - Yifan Xiong 001; Yuting Jiang; Ziyue Yang; Lei Qu; Guoshuai Zhao; Shuguang Liu; Dong Zhong; Boris Pinzur; Jie Zhang 048; Yang Wang 053; Jithin Jose; Hossein Pourreza; et al. (CoRR, 2024)

Toward CXL-Native Memory Tiering via Device-Side Profiling. - Zhe Zhou 002; Yiqi Chen; Tao Zhang 032; Yang Wang 053; Ran Shu 001; Shuotao Xu; Peng Cheng 005; Lei Qu; Yongqiang Xiong; Guangyu Sun 003 (CoRR, 2024)

Gradient-Mask Tuning Elevates the Upper Limits of LLM Performance. - Haoling Li; Xin Zhang 099; Xiao Liu 029; Yeyun Gong; Yifan Wang; Yujiu Yang; Qi Chen 009; Peng Cheng 005 (CoRR, 2024)

Integrative Decoding: Improve Factuality via Implicit Self-consistency. - Yi Cheng; Xiao Liang; Yeyun Gong; Wen Xiao; Song Wang; Yuji Zhang 002; Wenjun Hou; Kaishuai Xu; Wenge Liu; Wenjie Li 002; Jian Jiao 007; Qi Chen 009; et al. (CoRR, 2024)

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training. - Zheheng Luo; Xin Zhang 099; Xiao Liu 029; Haoling Li; Yeyun Gong; Chen Qi; Peng Cheng 005 (CoRR, 2024)

Echo: Simulating Distributed Training At Scale. - Yicheng Feng; Yuetao Chen; Kaiwen Chen; Jingzong Li; Tianyuan Wu; Peng Cheng 005; Chuan Wu 001; Wei Wang 002; Tsung-Yi Ho; Hong Xu 001 (CoRR, 2024)

Intelligent Packet Processing for Performant Containers in IoT. - Wonmi Choi; Yeonho Yoo; Kyungwoon Lee; Zhixiong Niu; Peng Cheng 005; Yongqiang Xiong; Gyeongsik Yang; Chuck Yoo (IEEE Internet Things J., 2024)

Automated Proof Generation for Rust Code via Self-Evolution. - Tianyu Chen; Shuai Lu; Shan Lu 001; Yeyun Gong; Chenyuan Yang; Xuheng Li; Md Rakib Hossain Misu; Hao Yu; Nan Duan; Peng Cheng 005; Fan Yang 024; Shuvendu K. Lahiri; et al. (ICLR, 2025)

Integrative Decoding: Improving Factuality via Implicit Self-consistency. - Yi Cheng; Xiao Liang; Yeyun Gong; Wen Xiao; Song Wang; Yuji Zhang 002; Wenjun Hou; Kaishuai Xu; Wenge Liu; Wenjie Li 002; Jian Jiao 007; Qi Chen 009; et al. (ICLR, 2025)

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 005; Cam-Tu Nguyen; Shaoling Sun; Xiaohu Xu; et al. (INFOCOM, 2025)

HyperDrive: Direct Network Telemetry Storage via Programmable Switches. - Ziyuan Liu; Zhixiong Niu; Ran Shu 001; Wenxue Cheng; Lihua Yuan; Jacob Nelson 001; Dan R. K. Ports; Peng Cheng 005; Yongqiang Xiong (IEEE Trans. Cloud Comput., 2025)

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models. - Zhenghao Lin; Zihao Tang; Xiao Liu 029; Yeyun Gong; Yi Cheng; Qi Chen 009; Hang Li; Ying Xin; Ziyue Yang; Kailai Yang; Yu Yan; Xiao Liang; et al. (CoRR, 2025)

Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models. - Yile Gu; Yifan Xiong 001; Jonathan Mace; Yuting Jiang; Yigong Hu; Baris Kasikci; Peng Cheng 005 (CoRR, 2025)

Optimizing Large Language Model Training Using FP4 Quantization. - Ruizhe Wang; Yeyun Gong; Xiao Liu 029; Guoshuai Zhao; Ziyue Yang; Baining Guo; Zhengjun Zha; Peng Cheng 005 (CoRR, 2025)

Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization. - Yuanye Liu; Jiahang Xu; Li Lyna Zhang; Qi Chen 009; Xuan Feng; Yang Chen; Zhongxin Guo; Yuqing Yang 001; Peng Cheng 005 (CoRR, 2025)

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications. - Aashaka Shah; Abhinav Jangda; Binyang Li; Caio Rocha; Changho Hwang; Jithin Jose; Madan Musuvathi; Olli Saarikivi; Peng Cheng 005; Qinghua Zhou; Roshan Dathathri; Saeed Maleki; et al. (CoRR, 2025)

AidAI: Automated Incident Diagnosis for AI Workloads in the Cloud. - Yitao Yang; Yangtao Deng; Yifan Xiong 001; Baochun Li; Hong Xu 001; Peng Cheng 005 (CoRR, 2025)

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training. - Kailai Yang; Xiao Liu 029; Lei Ji; Hao Li 074; Yeyun Gong; Peng Cheng 005; Mao Yang 004 (CoRR, 2025)