Yibo Zhu

According to our database, Yibo Zhu authored at least 76 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Frontier: Towards Comprehensive and Accurate LLM Inference Simulation.

Yicheng Feng, Xin Tan, Yangtao Deng, Yimin Jiang, Yibo Zhu, Hong Xu

CoRR, May, 2026

OrchestrRL: Dynamic Compute and Network Orchestration for Disaggregated RL.

Xin Tan, Yicheng Feng, Yu Zhou, Yimin Jiang, Yibo Zhu, Hong Xu

CoRR, January, 2026

DIP: Efficient Large Multimodal Model Training with Dynamic Interleaved Pipeline.

Zhenliang Xue, Hanpeng Hu, Xing Chen, Yimin Jiang, Yixin Song, Zeyu Mi, Yibo Zhu, Daxin Jiang, Yubin Xia, Haibo Chen

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

Dynamic Sparsity in Large-Scale Video DiT Training.

Xin Tan, Yuetao Chen, Yimin Jiang, Xing Chen, Kun Yan, Nan Duan, Yibo Zhu, Daxin Jiang, Hong Xu

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

Efficient Long-context Language Model Training by Core Attention Disaggregation.

Yonghao Zhuang, Junda Chen, Bo Pang, Yi Gu, Yibo Zhu, Yimin Jiang, Ion Stoica, Eric Xing, Hao Zhang

CoRR, October, 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, Xuanzhe Liu, Xin Jin

CoRR, August, 2025

NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale.

Chunrui Han, Guopeng Li, Jingwei Wu, Quan Sun, Yan Cai, Yuang Peng, Zheng Ge, Deyu Zhou, Haomiao Tang, Hongyu Zhou, Kenkun Liu, Ailin Huang, Bin Wang, Changxin Miao, Deshan Sun, En Yu, Fukun Yin, Gang Yu, Nie Hao, Haoran Lv, Hanpeng Hu, Jia Wang, Jian Zhou, Jianjian Sun, Kaijun Tan, Kang An, Kangheng Lin, Liang Zhao, Mei Chen, Peng Xing, Rui Wang, Shiyu Liu, Shutao Xia, Tianhao You, Wei Ji, Xianfang Zeng, Xin Han, Xuelin Zhang, Yana Wei, Yanming Xu, Yimin Jiang, Yingming Wang, Yu Zhou, Yucheng Han, Ziyang Meng, Binxing Jiao, Daxin Jiang, Xiangyu Zhang, Yibo Zhu

CoRR, August, 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, Hongyu Zhou, Hongyuan Wang, Jingbei Li, Jianjian Sun, Joanna Wang, Mingrui Chen, Peng Liu, Ruihang Miao, Shilei Jiang, Fei Tian, Wang You, Xi Chen, Xuerui Yang, Yechang Huang, Yuxiang Zhang, Zheng Ge, Zheng Gong, Zhewei Huang, Zixin Zhang, Bin Wang, Bo Li, Buyun Ma, Changxin Miao, Changyi Wan, Chen Xu, Dapeng Shi, Dingyuan Hu, Enle Liu, Guanzhe Huang, Gulin Yan, Hanpeng Hu, Haonan Jia, Jiahao Gong, Jiaoren Wu, Jie Wu, Jie Yang, Junzhe Lin, Kaixiang Li, Lei Xia, Longlong Gu, Ming Li, Nie Hao, Ranchen Ming, Shaoliang Pang, Siqi Liu, Song Yuan, Tiancheng Cao, Wen Li, Wenqing He, Xu Zhao, Xuelin Zhang, Yanbo Yu, Yinmin Zhong, Yu Zhou, Yuanwei Liang, Yuanwei Lu, Yuxiang Yang, Zidong Yang, Zili Zhang, Binxing Jiao, Heung-Yeung Shum, Jiansheng Chen, Jing Li, Xiangyu Zhang, Xinhao Zhang, Yibo Zhu, Daxin Jiang, Shaohua Kevin Zhou, Chen Hu

CoRR, June, 2025

Step1X-Edit: A Practical Framework for General Image Editing.

Shiyu Liu, Yucheng Han, Peng Xing, Fukun Yin, Rui Wang, Wei Cheng, Jiaqi Liao, Yingming Wang, Honghao Fu, Chunrui Han, Guopeng Li, Yuang Peng, Quan Sun, Jingwei Wu, Yan Cai, Zheng Ge, Ranchen Ming, Lei Xia, Xianfang Zeng, Yibo Zhu, Binxing Jiao, Xiangyu Zhang, Gang Yu, Daxin Jiang

CoRR, April, 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, Yukun Chen, Yu Zhou, Changyi Wan, Hongyu Zhou, Yimin Jiang, Yibo Zhu, Daxin Jiang

CoRR, April, 2025

PipeWeaver: Addressing Data Dynamicity in Large Multimodal Model Training with Dynamic Interleaved Pipeline.

Zhenliang Xue, Hanpeng Hu, Xing Chen, Yimin Jiang, Yixin Song, Zeyu Mi, Yibo Zhu, Daxin Jiang, Yubin Xia, Haibo Chen

CoRR, April, 2025

Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model.

Haoyang Huang, Guoqing Ma, Nan Duan, Xing Chen, Changyi Wan, Ranchen Ming, Tianyu Wang, Bo Wang, Zhiying Lu, Aojie Li, Xianfang Zeng, Xinhao Zhang, Ganggang Yu, Yuhe Yin, Qiling Wu, Wen Sun, Kang An, Xin Han, Deshan Sun, Wei Ji, Bizhu Huang, Brian Li, Chenfei Wu, Guanzhe Huang, Huixin Xiong, Jiaxin He, Jianchang Wu, Jianlong Yuan, Jie Wu, Jiashuai Liu, Junjing Guo, Kaijun Tan, Liangyu Chen, Qiaohui Chen, Ran Sun, Shanshan Yuan, Shengming Yin, Sitong Liu, Wei Chen, Yaqi Dai, Yuchu Luo, Zheng Ge, Zhisheng Guan, Xiaoniu Song, Yu Zhou, Binxing Jiao, Jiansheng Chen, Jing Li, Shuchang Zhou, Xiangyu Zhang, Yi Xiu, Yibo Zhu, Heung-Yeung Shum, Daxin Jiang

CoRR, March, 2025

DSV: Exploiting Dynamic Sparsity to Accelerate Large-Scale Video DiT Training.

Xin Tan, Yuetao Chen, Yimin Jiang, Xing Chen, Kun Yan, Nan Duan, Yibo Zhu, Daxin Jiang, Hong Xu

CoRR, February, 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, Yimin Jiang, Wenqing Lv, Yelong Xu, Yuanwei Lu, Zhang Chen, Yanbo Yu, Yichen Shen, Yibo Zhu, Daxin Jiang

CoRR, February, 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, Daxin Jiang, Xin Jin

Proceedings of the ACM SIGCOMM 2025 Conference, 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, Yimin Jiang, Wenqing Lv, Yelong Xu, Yuanwei Lu, Zhang Chen, Yanbo Yu, Yichen Shen, Yibo Zhu, Daxin Jiang

Proceedings of the ACM SIGCOMM 2025 Conference, 2025

Frontier: Simulating the Next Generation of LLM Inference Systems.

Yicheng Feng, Xin Tan, Kin Hang Sew, Yimin Jiang, Yibo Zhu, Hong Xu

Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems, 2025

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, Xin Jin

Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

2024

DistMind: Efficient Resource Disaggregation for Deep Learning Workloads.

Xin Jin, Zhihao Bai, Zhen Zhang, Yibo Zhu, Yinmin Zhong, Xuanzhe Liu

IEEE/ACM Trans. Netw., June, 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, Xin Jin

CoRR, 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, Xin Jin

CoRR, 2024

MuxFlow: efficient GPU sharing in production-level clusters with more than 10000 GPUs.

Xuanzhe Liu, Yihao Zhao, Shufan Liu, Xiang Li, Yibo Zhu, Xin Liu, Xin Jin

Sci. China Inf. Sci., 2024

DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving.

Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu, Yibo Zhu, Xuanzhe Liu, Xin Jin, Hao Zhang

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices.

Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Yibo Zhu, Chuan Wu

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs.

Hanpeng Hu, Junwei Su, Juntao Zhao, Yanghua Peng, Yibo Zhu, Haibin Lin, Chuan Wu

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023

SP-GNN: Learning structure and position information from graphs.

Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, Yanghua Peng, Chuan Wu, Yibo Zhu

Neural Networks, April, 2023

MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep Learning Clusters.

Yihao Zhao, Xin Liu, Shufan Liu, Xiang Li, Yibo Zhu, Gang Huang, Xuanzhe Liu, Xin Jin

CoRR, 2023

Accelerating Distributed MoE Training and Inference with Lina.

Jiamin Li, Yimin Jiang, Yibo Zhu, Cong Wang, Hong Xu

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing.

Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs.

Yujia Zhai, Chengquan Jiang, Leyuan Wang, Xiaoying Jia, Shang Zhang, Zizhong Chen, Xin Liu, Yibo Zhu

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 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, T. S. Eugene Ng

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

Lyra: Elastic Scheduling for Deep Learning Clusters.

Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022

DeepCC: Bridging the Gap Between Congestion Control and Applications via Multiobjective Optimization.

Lei Zhang, Yong Cui, Mowei Wang, Kewei Zhu, Yibo Zhu, Yong Jiang

IEEE/ACM Trans. Netw., 2022

Lita: Accelerating Distributed Training of Sparsely Activated Models.

Jiamin Li, Yimin Jiang, Yibo Zhu, Cong Wang, Hong Xu

CoRR, 2022

Espresso: Revisiting Gradient Compression from the System Perspective.

Zhuang Wang, Haibin Lin, Yibo Zhu, T. S. Eugene Ng

CoRR, 2022

dPRO: A Generic Profiling and Optimization System for Expediting Distributed DNN Training.

Hanpeng Hu, Chenyu Jiang, Yuchen Zhong, Yanghua Peng, Chuan Wu, Yibo Zhu, Haibin Lin, Chuanxiong Guo

CoRR, 2022

Aryl: An Elastic Cluster Scheduler for Deep Learning.

Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang

CoRR, 2022

Multi-resource interleaving for deep learning training.

Yihao Zhao, Yuanqiang Liu, Yanghua Peng, Yibo Zhu, Xuanzhe Liu, Xin Jin

Proceedings of the SIGCOMM '22: ACM SIGCOMM 2022 Conference, Amsterdam, The Netherlands, August 22, 2022

Collie: Finding Performance Anomalies in RDMA Subsystems.

Xinhao Kong, Yibo Zhu, Huaping Zhou, Zhuo Jiang, Jianxi Ye, Chuanxiong Guo, Danyang Zhuo

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training.

Yangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng, Haibin Lin, Chuan Wu, Yibo Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

dPRO: A Generic Performance Diagnosis and Optimization Toolkit for Expediting Distributed DNN Training.

Hanpeng Hu, Chenyu Jiang, Yuchen Zhong, Yanghua Peng, Chuan Wu, Yibo Zhu, Haibin Lin, Chuanxiong Guo

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021

Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem.

Cheng Tan, Zhichao Li, Jian Zhang, Yu Cao, Sikai Qi, Zherui Liu, Yibo Zhu, Chuanxiong Guo

CoRR, 2021

DeepCC: Bridging the Gap Between Congestion Control and Applications via Multi-Objective Optimization.

Lei Zhang, Yong Cui, Mowei Wang, Kewei Zhu, Yibo Zhu, Yong Jiang

CoRR, 2021

AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly.

Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy

Proceedings of the 9th International Conference on Learning Representations, 2021

Building verified neural networks with specifications for systems.

Cheng Tan, Yibo Zhu, Chuanxiong Guo

Proceedings of the APSys '21: 12th ACM SIGOPS Asia-Pacific Workshop on Systems, 2021

2020

TEA: Enabling State-Intensive Network Functions on Programmable Switches.

Daehyeok Kim, Zaoxing Liu, Yibo Zhu, Changhoon Kim, Jeongkeun Lee, Vyas Sekar, Srinivasan Seshan

Proceedings of the SIGCOMM '20: Proceedings of the 2020 Annual conference of the ACM Special Interest Group on Data Communication on the applications, 2020

A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters.

Yimin Jiang, Yibo Zhu, Chang Lan, Bairen Yi, Yong Cui, Chuanxiong Guo

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications.

Zhihao Bai, Zhen Zhang, Yibo Zhu, Xin Jin

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Elastic parameter server load distribution in deep learning clusters.

Yangrui Chen, Yanghua Peng, Yixin Bao, Chuan Wu, Yibo Zhu, Chuanxiong Guo

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

A generic communication scheduler for distributed DNN training acceleration.

Yanghua Peng, Yibo Zhu, Yangrui Chen, Yixin Bao, Bairen Yi, Chang Lan, Chuan Wu, Chuanxiong Guo

Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

Slim: OS Kernel Support for a Low-Overhead Container Overlay Network.

Danyang Zhuo, Kaiyuan Zhang, Yibo Zhu, Hongqiang Harry Liu, Matthew Rockett, Arvind Krishnamurthy, Thomas E. Anderson

Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019

FreeFlow: Software-based Virtual RDMA Networking for Containerized Clouds.

Daehyeok Kim, Tianlong Yu, Hongqiang Harry Liu, Yibo Zhu, Jitu Padhye, Shachar Raindel, Chuanxiong Guo, Vyas Sekar, Srinivasan Seshan

Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019

Tiresias: A GPU Cluster Manager for Distributed Deep Learning.

Juncheng Gu, Mosharaf Chowdhury, Kang G. Shin, Yibo Zhu, Myeongjae Jeon, Junjie Qian, Hongqiang Harry Liu, Chuanxiong Guo

Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019

2018

Hyperloop: group-based NIC-offloading to accelerate replicated transactions in multi-tenant storage systems.

Daehyeok Kim, Amir Saman Memaripour, Anirudh Badam, Yibo Zhu, Hongqiang Harry Liu, Jitu Padhye, Shachar Raindel, Steven Swanson, Vyas Sekar, Srinivasan Seshan

Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

007: Democratically Finding the Cause of Packet Drops.

Behnaz Arzani, Selim Ciraci, Luiz F. O. Chamon, Yibo Zhu, Hongqiang Liu, Jitu Padhye, Boon Thau Loo, Geoff Outhred

Proceedings of the 15th USENIX Symposium on Networked Systems Design and Implementation, 2018

Generic External Memory for Switch Data Planes.

Daehyeok Kim, Yibo Zhu, Changhoon Kim, Jeongkeun Lee, Srinivasan Seshan

Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 2018

2017

CrystalNet: Faithfully Emulating Large Production Networks.

Hongqiang Harry Liu, Yibo Zhu, Jitu Padhye, Jiaxin Cao, Sri Tallapragada, Nuno P. Lopes, Andrey Rybalchenko, Guohan Lu, Lihua Yuan

Proceedings of the 26th Symposium on Operating Systems Principles, 2017

Closing the Network Diagnostics Gap with Vigil.

Behnaz Arzani, Selim Ciraci, Luiz F. O. Chamon, Yibo Zhu, Hongqiang Harry Liu, Jitu Padhye, Geoff Outhred, Boon Thau Loo

Proceedings of the Posters and Demos Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017

2016

Empirical Validation of Commodity Spectrum Monitoring.

Ana Nika, Zhijing Li, Yanzi Zhu, Yibo Zhu, Ben Y. Zhao, Xia Zhou, Haitao Zheng

Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, SenSys 2016, 2016

Trimming the Smartphone Network Stack.

Yanzi Zhu, Yibo Zhu, Ana Nika, Ben Y. Zhao, Haitao Zheng

Proceedings of the 15th ACM Workshop on Hot Topics in Networks, 2016

ECN or Delay: Lessons Learnt from Analysis of DCQCN and TIMELY.

Yibo Zhu, Monia Ghobadi, Vishal Misra, Jitendra Padhye

Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies, 2016

2015

Energy and Performance of Smartphone Radio Bundling in Outdoor Environments.

Ana Nika, Yibo Zhu, Ning Ding, Abhilash Jindal, Y. Charlie Hu, Xia Zhou, Ben Y. Zhao, Haitao Zheng

Proceedings of the 24th International Conference on World Wide Web, 2015

60GHz Mobile Imaging Radar.

Yibo Zhu, Yanzi Zhu, Zengbin Zhang, Ben Y. Zhao, Haitao Zheng

Proceedings of the 16th International Workshop on Mobile Computing Systems and Applications, 2015

Packet-Level Telemetry in Large Datacenter Networks.

Yibo Zhu, Nanxi Kang, Jiaxin Cao, Albert G. Greenberg, Guohan Lu, Ratul Mahajan, David A. Maltz, Lihua Yuan, Ming Zhang, Ben Y. Zhao, Haitao Zheng

Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, 2015

Congestion Control for Large-Scale RDMA Deployments.

Yibo Zhu, Haggai Eran, Daniel Firestone, Chuanxiong Guo, Marina Lipshteyn, Yehonatan Liron, Jitendra Padhye, Shachar Raindel, Mohamad Haj Yahia, Ming Zhang

Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, 2015

Reusing 60GHz Radios for Mobile Radar Imaging.

Yanzi Zhu, Yibo Zhu, Ben Y. Zhao, Haitao Zheng

Proceedings of the 21st Annual International Conference on Mobile Computing and Networking, 2015

2014

Cutting the cord: a robust wireless facilities network for data centers.

Yibo Zhu, Xia Zhou, Zengbin Zhang, Lin Zhou, Amin Vahdat, Ben Y. Zhao, Haitao Zheng

Proceedings of the 20th Annual International Conference on Mobile Computing and Networking, 2014

Demystifying 60GHz outdoor picocells.

Yibo Zhu, Zengbin Zhang, Zhinus Marzi, Chris Nelson, Upamanyu Madhow, Ben Y. Zhao, Haitao Zheng

Proceedings of the 20th Annual International Conference on Mobile Computing and Networking, 2014

2013

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, Chen Chen, Ye Tian

IEEE J. Sel. Areas Commun., 2013

2012

Serf and turf: crowdturfing for fun and profit.

Gang Wang, Christo Wilson, Xiaohan Zhao, Yibo Zhu, Manish Mohanlal, Haitao Zheng, Ben Y. Zhao

Proceedings of the 21st World Wide Web Conference 2012, 2012

Mirror mirror on the ceiling: flexible wireless links for data centers.

Xia Zhou, Zengbin Zhang, Yibo Zhu, Yubo Li, Saipriya Kumar, Amin Vahdat, Ben Y. Zhao, Haitao Zheng

Proceedings of the ACM SIGCOMM 2012 Conference, 2012

Enforcing dynamic spectrum access with spectrum permits.

Zengbin Zhang, Lei Yang, Yibo Zhu, Ben Y. Zhao, Haitao Zheng

Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 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, Chen Chen

Proceedings of the Conference on emerging Networking Experiments and Technologies, 2012

2011

Tarantula: Towards an Accurate Network Coordinate System by Handling Major Portion of TIVs.

Zhuo Chen, Yang Chen, Yibo Zhu, Cong Ding, Beixing Deng, Xing Li

Proceedings of the Global Communications Conference, 2011

2010

Taming the triangle inequality violations with network coordinate system on real internet.

Yibo Zhu, Yang Chen, Zengbin Zhang, Xiaoming Fu, Dan Li, Beixing Deng, Xing Li

Proceedings of the Re-Architecting the Internet Workshop, 2010

Reducing TIV interference in network coordinate systems.

Zhuo Chen, Yibo Zhu, Yang Chen, Beixing Deng, Xing Li

Proceedings of the ACM CoNEXT Student Workshop, 2010