Reducing TIV interference in network coordinate systems. - Zhuo Chen; Yibo Zhu 001; Yang Chen 001; Beixing Deng; Xing Li 001 (StudentWorkshop@CoNEXT, 2010)

Taming the triangle inequality violations with network coordinate system on real internet. - Yibo Zhu 001; Yang Chen 001; Zengbin Zhang; Xiaoming Fu 001; Dan Li 001; Beixing Deng; Xing Li 001 (ReArch@CoNEXT, 2010)

Tarantula: Towards an Accurate Network Coordinate System by Handling Major Portion of TIVs. - Zhuo Chen; Yang Chen 001; Yibo Zhu 001; Cong Ding 001; Beixing Deng; Xing Li 001 (GLOBECOM, 2011)

Datacast: a scalable and efficient reliable group data delivery service for data centers. - Jiaxin Cao; Chuanxiong Guo; Guohan Lu; Yongqiang Xiong; Yixin Zheng; Yongguang Zhang; Yibo Zhu 001; Chen Chen 019 (CoNEXT, 2012)

Enforcing dynamic spectrum access with spectrum permits. - Zengbin Zhang; Lei Yang 020; Yibo Zhu 001; Ben Y. Zhao; Haitao Zheng 001 (DySPAN, 2012)

Mirror mirror on the ceiling: flexible wireless links for data centers. - Xia Zhou; Zengbin Zhang; Yibo Zhu 001; Yubo Li; Saipriya Kumar; Amin Vahdat; Ben Y. Zhao; Haitao Zheng 001 (SIGCOMM, 2012)

Serf and turf: crowdturfing for fun and profit. - Gang Wang 011; Christo Wilson; Xiaohan Zhao; Yibo Zhu 001; Manish Mohanlal; Haitao Zheng 001; Ben Y. Zhao (WWW, 2012)

Datacast: A Scalable and Efficient Reliable Group Data Delivery Service for Data Centers. - Jiaxin Cao; Chuanxiong Guo; Guohan Lu; Yongqiang Xiong; Yixin Zheng; Yongguang Zhang; Yibo Zhu 001; Chen Chen 019; Ye Tian 004 (IEEE J. Sel. Areas Commun., 2013)

Demystifying 60GHz outdoor picocells. - Yibo Zhu 001; Zengbin Zhang; Zhinus Marzi; Chris Nelson; Upamanyu Madhow; Ben Y. Zhao; Haitao Zheng 001 (MobiCom, 2014)

Cutting the cord: a robust wireless facilities network for data centers. - Yibo Zhu 001; Xia Zhou; Zengbin Zhang; Lin Zhou; Amin Vahdat; Ben Y. Zhao; Haitao Zheng 001 (MobiCom, 2014)

Reusing 60GHz Radios for Mobile Radar Imaging. - Yanzi Zhu; Yibo Zhu 001; Ben Y. Zhao; Haitao Zheng 001 (MobiCom, 2015)

Congestion Control for Large-Scale RDMA Deployments. - Yibo Zhu 001; Haggai Eran; Daniel Firestone; Chuanxiong Guo; Marina Lipshteyn; Yehonatan Liron; Jitendra Padhye; Shachar Raindel; Mohamad Haj Yahia; Ming Zhang 005 (SIGCOMM, 2015)

Packet-Level Telemetry in Large Datacenter Networks. - Yibo Zhu 001; Nanxi Kang; Jiaxin Cao; Albert G. Greenberg; Guohan Lu; Ratul Mahajan; David A. Maltz; Lihua Yuan; Ming Zhang 005; Ben Y. Zhao; Haitao Zheng 001 (SIGCOMM, 2015)

60GHz Mobile Imaging Radar. - Yibo Zhu 001; Yanzi Zhu; Zengbin Zhang; Ben Y. Zhao; Haitao Zheng 001 (HotMobile, 2015)

Energy and Performance of Smartphone Radio Bundling in Outdoor Environments. - Ana Nika; Yibo Zhu 001; Ning Ding 004; Abhilash Jindal; Y. Charlie Hu; Xia Zhou; Ben Y. Zhao; Haitao Zheng 001 (WWW, 2015)

ECN or Delay: Lessons Learnt from Analysis of DCQCN and TIMELY. - Yibo Zhu 001; Monia Ghobadi; Vishal Misra; Jitendra Padhye (CoNEXT, 2016)

Trimming the Smartphone Network Stack. - Yanzi Zhu; Yibo Zhu 001; Ana Nika; Ben Y. Zhao; Haitao Zheng 001 (HotNets, 2016)

Empirical Validation of Commodity Spectrum Monitoring. - Ana Nika; Zhijing Li 001; Yanzi Zhu; Yibo Zhu 001; Ben Y. Zhao; Xia Zhou; Haitao Zheng 001 (SenSys, 2016)

Closing the Network Diagnostics Gap with Vigil. - Behnaz Arzani; Selim Ciraci; Luiz F. O. Chamon; Yibo Zhu 001; Hongqiang Harry Liu; Jitu Padhye; Geoff Outhred; Boon Thau Loo (SIGCOMM Posters and Demos, 2017)

CrystalNet: Faithfully Emulating Large Production Networks. - Hongqiang Harry Liu; Yibo Zhu 001; Jitu Padhye; Jiaxin Cao; Sri Tallapragada; Nuno P. Lopes; Andrey Rybalchenko; Guohan Lu; Lihua Yuan (SOSP, 2017)

Generic External Memory for Switch Data Planes. - Daehyeok Kim; Yibo Zhu 001; Changhoon Kim; Jeongkeun Lee; Srinivasan Seshan (HotNets, 2018)

007: Democratically Finding the Cause of Packet Drops. - Behnaz Arzani; Selim Ciraci; Luiz F. O. Chamon; Yibo Zhu 001; Hongqiang Liu; Jitu Padhye; Boon Thau Loo; Geoff Outhred (NSDI, 2018)

Hyperloop: group-based NIC-offloading to accelerate replicated transactions in multi-tenant storage systems. - Daehyeok Kim; Amir Saman Memaripour; Anirudh Badam; Yibo Zhu 001; Hongqiang Harry Liu; Jitu Padhye; Shachar Raindel; Steven Swanson; Vyas Sekar; Srinivasan Seshan (SIGCOMM, 2018)

Tiresias: A GPU Cluster Manager for Distributed Deep Learning. - Juncheng Gu; Mosharaf Chowdhury; Kang G. Shin; Yibo Zhu 001; Myeongjae Jeon; Junjie Qian; Hongqiang Harry Liu; Chuanxiong Guo (NSDI, 2019)

FreeFlow: Software-based Virtual RDMA Networking for Containerized Clouds. - Daehyeok Kim; Tianlong Yu; Hongqiang Harry Liu; Yibo Zhu 001; Jitu Padhye; Shachar Raindel; Chuanxiong Guo; Vyas Sekar; Srinivasan Seshan (NSDI, 2019)

Slim: OS Kernel Support for a Low-Overhead Container Overlay Network. - Danyang Zhuo; Kaiyuan Zhang 001; Yibo Zhu 001; Hongqiang Harry Liu; Matthew Rockett; Arvind Krishnamurthy; Thomas E. Anderson (NSDI, 2019)

A generic communication scheduler for distributed DNN training acceleration. - Yanghua Peng; Yibo Zhu 001; Yangrui Chen; Yixin Bao; Bairen Yi; Chang Lan; Chuan Wu 001; Chuanxiong Guo (SOSP, 2019)

Elastic parameter server load distribution in deep learning clusters. - Yangrui Chen; Yanghua Peng; Yixin Bao; Chuan Wu 001; Yibo Zhu 001; Chuanxiong Guo (SoCC, 2020)

PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications. - Zhihao Bai; Zhen Zhang 063; Yibo Zhu 001; Xin Jin 008 (OSDI, 2020)

A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters. - Yimin Jiang; Yibo Zhu 001; Chang Lan; Bairen Yi; Yong Cui 001; Chuanxiong Guo (OSDI, 2020)

TEA: Enabling State-Intensive Network Functions on Programmable Switches. - Daehyeok Kim; Zaoxing Liu; Yibo Zhu 001; Changhoon Kim; Jeongkeun Lee; Vyas Sekar; Srinivasan Seshan (SIGCOMM, 2020)

Building verified neural networks with specifications for systems. - Cheng Tan 005; Yibo Zhu 001; Chuanxiong Guo (APSys, 2021)

AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly. - Yuchen Jin; Tianyi Zhou 001; Liangyu Zhao; Yibo Zhu 001; Chuanxiong Guo; Marco Canini; Arvind Krishnamurthy (ICLR, 2021)

DeepCC: Bridging the Gap Between Congestion Control and Applications via Multi-Objective Optimization. - Lei Zhang 157; Yong Cui 001; Mowei Wang; Kewei Zhu; Yibo Zhu 001; Yong Jiang 001 (CoRR, 2021)

Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem. - Cheng Tan 005; Zhichao Li; Jian Zhang 102; Yu Cao; Sikai Qi; Zherui Liu; Yibo Zhu 001; Chuanxiong Guo (CoRR, 2021)

dPRO: A Generic Performance Diagnosis and Optimization Toolkit for Expediting Distributed DNN Training. - Hanpeng Hu; Chenyu Jiang 002; Yuchen Zhong; Yanghua Peng; Chuan Wu 001; Yibo Zhu 001; Haibin Lin; Chuanxiong Guo (MLSys, 2022)

SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training. - Yangrui Chen; Cong Xie; Meng Ma; Juncheng Gu; Yanghua Peng; Haibin Lin; Chuan Wu 001; Yibo Zhu 001 (NeurIPS, 2022)

Collie: Finding Performance Anomalies in RDMA Subsystems. - Xinhao Kong; Yibo Zhu 001; Huaping Zhou; Zhuo Jiang; Jianxi Ye; Chuanxiong Guo; Danyang Zhuo (NSDI, 2022)

Multi-resource interleaving for deep learning training. - Yihao Zhao; Yuanqiang Liu; Yanghua Peng; Yibo Zhu 001; Xuanzhe Liu; Xin Jin 008 (SIGCOMM, 2022)

Aryl: An Elastic Cluster Scheduler for Deep Learning. - Jiamin Li 002; Hong Xu 001; Yibo Zhu 001; Zherui Liu; Chuanxiong Guo; Cong Wang 001 (CoRR, 2022)

dPRO: A Generic Profiling and Optimization System for Expediting Distributed DNN Training. - Hanpeng Hu; Chenyu Jiang 002; Yuchen Zhong; Yanghua Peng; Chuan Wu 001; Yibo Zhu 001; Haibin Lin; Chuanxiong Guo (CoRR, 2022)

Espresso: Revisiting Gradient Compression from the System Perspective. - Zhuang Wang; Haibin Lin; Yibo Zhu 001; T. S. Eugene Ng (CoRR, 2022)

Lita: Accelerating Distributed Training of Sparsely Activated Models. - Jiamin Li 002; Yimin Jiang; Yibo Zhu 001; Cong Wang 001; Hong Xu 001 (CoRR, 2022)

DeepCC: Bridging the Gap Between Congestion Control and Applications via Multiobjective Optimization. - Lei Zhang 157; Yong Cui 001; Mowei Wang; Kewei Zhu; Yibo Zhu 001; Yong Jiang 001 (IEEE/ACM Trans. Netw., 2022)

Lyra: Elastic Scheduling for Deep Learning Clusters. - Jiamin Li 002; Hong Xu 001; Yibo Zhu 001; Zherui Liu; Chuanxiong Guo; Cong Wang 001 (EuroSys, 2023)

Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies. - Zhuang Wang; Haibin Lin; Yibo Zhu 001; T. S. Eugene Ng (EuroSys, 2023)

ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs. - Yujia Zhai; Chengquan Jiang; Leyuan Wang; Xiaoying Jia 001; Shang Zhang; Zizhong Chen; Xin Liu 086; Yibo Zhu 001 (IPDPS, 2023)

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. - Tianfeng Liu; Yangrui Chen; Dan Li 001; Chuan Wu 001; Yibo Zhu 001; Jun He; Yanghua Peng; Hongzheng Chen; Hongzhi Chen; Chuanxiong Guo (NSDI, 2023)

Accelerating Distributed MoE Training and Inference with Lina. - Jiamin Li 002; Yimin Jiang; Yibo Zhu 001; Cong Wang 001; Hong Xu 001 (USENIX ATC, 2023)

MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep Learning Clusters. - Yihao Zhao; Xin Liu 086; Shufan Liu; Xiang Li 067; Yibo Zhu 001; Gang Huang 001; Xuanzhe Liu; Xin Jin 008 (CoRR, 2023)

SP-GNN: Learning structure and position information from graphs. - Yangrui Chen; Jiaxuan You; Jun He; Yuan Lin; Yanghua Peng; Chuan Wu 001; Yibo Zhu 001 (Neural Networks, 2023)

CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs. - Hanpeng Hu; Junwei Su; Juntao Zhao 002; Yanghua Peng; Yibo Zhu 001; Haibin Lin; Chuan Wu 001 (EuroSys, 2024)

QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices. - Juntao Zhao 002; Borui Wan; Yanghua Peng; Haibin Lin; Yibo Zhu 001; Chuan Wu 001 (IPDPS, 2024)

DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving. - Yinmin Zhong; Shengyu Liu; Junda Chen; Jianbo Hu; Yibo Zhu 001; Xuanzhe Liu; Xin Jin 008; Hao Zhang 025 (OSDI, 2024)

MuxFlow: efficient GPU sharing in production-level clusters with more than 10000 GPUs. - Xuanzhe Liu; Yihao Zhao; Shufan Liu; Xiang Li 067; Yibo Zhu 001; Xin Liu 086; Xin Jin 008 (Sci. China Inf. Sci., 2024)

DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models. - Zili Zhang; Yinmin Zhong; Ranchen Ming; Hanpeng Hu; Jianjian Sun; Zheng Ge; Yibo Zhu 001; Xin Jin 008 (CoRR, 2024)

RLHFuse: Efficient RLHF Training for Large Language Models with Inter- and Intra-Stage Fusion. - Yinmin Zhong; Zili Zhang; Bingyang Wu; Shengyu Liu; Yukun Chen; Changyi Wan; Hanpeng Hu; Lei Xia; Ranchen Ming; Yibo Zhu 001; Xin Jin 008 (CoRR, 2024)

DistMind: Efficient Resource Disaggregation for Deep Learning Workloads. - Xin Jin 008; Zhihao Bai; Zhen Zhang 063; Yibo Zhu 001; Yinmin Zhong; Xuanzhe Liu (IEEE/ACM Trans. Netw., 2024)

Optimizing RLHF Training for Large Language Models with Stage Fusion. - Yinmin Zhong; Zili Zhang; Bingyang Wu; Shengyu Liu; Yukun Chen; Changyi Wan; Hanpeng Hu; Lei Xia; Ranchen Ming; Yibo Zhu 001; Xin Jin 008 (NSDI, 2025)

Frontier: Simulating the Next Generation of LLM Inference Systems. - Yicheng Feng; Xin Tan 004; Kin Hang Sew; Yimin Jiang; Yibo Zhu 001; Hong Xu 001 (PACMI@SOSP, 2025)

InfiniteHBD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers. - Chenchen Shou; Guyue Liu; Hao Nie; Huaiyu Meng; Yu Zhou 008; Yimin Jiang; Wenqing Lv; Yelong Xu; Yuanwei Lu; Zhang Chen; Yanbo Yu; Yichen Shen 001; et al. (SIGCOMM, 2025)

DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models. - Zili Zhang; Yinmin Zhong; Yimin Jiang; Hanpeng Hu; Jianjian Sun; Zheng Ge; Yibo Zhu 001; Daxin Jiang; Xin Jin 008 (SIGCOMM, 2025)

InfinitePOD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers. - Chenchen Shou; Guyue Liu; Hao Nie; Huaiyu Meng; Yu Zhou 008; Yimin Jiang; Wenqing Lv; Yelong Xu; Yuanwei Lu; Zhang Chen; Yanbo Yu; Yichen Shen 001; et al. (CoRR, 2025)

DSV: Exploiting Dynamic Sparsity to Accelerate Large-Scale Video DiT Training. - Xin Tan 004; Yuetao Chen; Yimin Jiang; Xing Chen 009; Kun Yan 004; Nan Duan 001; Yibo Zhu 001; Daxin Jiang; Hong Xu 001 (CoRR, 2025)

Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model. - Haoyang Huang; Guoqing Ma; Nan Duan 001; Xing Chen 009; Changyi Wan; Ranchen Ming; Tianyu Wang; Bo Wang; Zhiying Lu; Aojie Li; Xianfang Zeng; Xinhao Zhang; et al. (CoRR, 2025)

PipeWeaver: Addressing Data Dynamicity in Large Multimodal Model Training with Dynamic Interleaved Pipeline. - Zhenliang Xue; Hanpeng Hu; Xing Chen 009; Yimin Jiang; Yixin Song; Zeyu Mi; Yibo Zhu 001; Daxin Jiang; Yubin Xia; Haibo Chen 001 (CoRR, 2025)

StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation. - Yinmin Zhong; Zili Zhang; Xiaoniu Song; Hanpeng Hu; Chao Jin; Bingyang Wu; Nuo Chen 001; Yukun Chen; Yu Zhou 008; Changyi Wan; Hongyu Zhou; Yimin Jiang; et al. (CoRR, 2025)

Step1X-Edit: A Practical Framework for General Image Editing. - Shiyu Liu; Yucheng Han; Peng Xing; Fukun Yin; Rui Wang 099; Wei Cheng; Jiaqi Liao; Yingming Wang; Honghao Fu; Chunrui Han; Guopeng Li; Yuang Peng; et al. (CoRR, 2025)

Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model. - Ailin Huang; Bingxin Li; Bruce Wang; Boyong Wu; Chao Yan; Chengli Feng; Heng Wang 007; Hongyu Zhou; Hongyuan Wang; Jingbei Li; Jianjian Sun; Joanna Wang; et al. (CoRR, 2025)

NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale. - Chunrui Han; Guopeng Li; Jingwei Wu; Quan Sun; Yan Cai 015; Yuang Peng; Zheng Ge; Deyu Zhou; Haomiao Tang; Hongyu Zhou; Kenkun Liu; Ailin Huang; et al. (CoRR, 2025)

TokenLake: A Unified Segment-level Prefix Cache Pool for Fine-grained Elastic Long-Context LLM Serving. - Bingyang Wu; Zili Zhang; Yinmin Zhong; Guanzhe Huang; Yibo Zhu 001; Xuanzhe Liu; Xin Jin 008 (CoRR, 2025)

Efficient Long-context Language Model Training by Core Attention Disaggregation. - Yonghao Zhuang 001; Junda Chen; Bo Pang; Yi Gu 002; Yibo Zhu 001; Yimin Jiang; Ion Stoica; Eric Xing 001; Hao Zhang 025 (CoRR, 2025)

Dynamic Sparsity in Large-Scale Video DiT Training. - Xin Tan 004; Yuetao Chen; Yimin Jiang; Xing Chen 009; Kun Yan 004; Nan Duan 001; Yibo Zhu 001; Daxin Jiang; Hong Xu 001 (ASPLOS (1), 2026)

DIP: Efficient Large Multimodal Model Training with Dynamic Interleaved Pipeline. - Zhenliang Xue; Hanpeng Hu; Xing Chen 009; Yimin Jiang; Yixin Song 003; Zeyu Mi; Yibo Zhu 001; Daxin Jiang; Yubin Xia; Haibo Chen 001 (ASPLOS (2), 2026)

OrchestrRL: Dynamic Compute and Network Orchestration for Disaggregated RL. - Xin Tan 004; Yicheng Feng; Yu Zhou 008; Yimin Jiang; Yibo Zhu 001; Hong Xu 001 (CoRR, 2026)

Frontier: Towards Comprehensive and Accurate LLM Inference Simulation. - Yicheng Feng; Xin Tan 004; Yangtao Deng; Yimin Jiang; Yibo Zhu 001; Hong Xu 001 (CoRR, 2026)