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ORCIDYibo Zhu 0001
Person information
- affiliation: ByteDance Inc., Bellevue, WA, USA
Other persons with the same name
- Yibo Zhu — disambiguation page
- Yibo Zhu 0002
![[0009-0006-5752-5862]](https://dblp.org/img/orcid-mark.12x12.png "0009-0006-5752-5862")
— University of Nottingham Ningbo China, Ningbo, Zhejiang, China
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2020 – today
- 2026
[c26]Xin Tan, Yuetao Chen, Yimin Jiang, Xing Chen, Kun Yan, Nan Duan, Yibo Zhu, Daxin Jiang, Hong Xu:
Dynamic Sparsity in Large-Scale Video DiT Training. ASPLOS (1) 2026: 101-116- [i25]Xin Tan, Yicheng Feng, Yu Zhou, Yimin Jiang, Yibo Zhu, Hong Xu:
OrchestrRL: Dynamic Compute and Network Orchestration for Disaggregated RL. CoRR abs/2601.01209 (2026) - 2025
- [c25]Yinmin Zhong, Zili Zhang, Bingyang Wu, Shengyu Liu, Yukun Chen, Changyi Wan, Hanpeng Hu, Lei Xia, Ranchen Ming, Yibo Zhu, Xin Jin:
Optimizing RLHF Training for Large Language Models with Stage Fusion. NSDI 2025: 489-503 - [c24]Yicheng Feng, Xin Tan, Kin Hang Sew, Yimin Jiang, Yibo Zhu, Hong Xu:
Frontier: Simulating the Next Generation of LLM Inference Systems. PACMI@SOSP 2025: 25-30 - [c23]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:
InfiniteHBD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers. SIGCOMM 2025: 1-23 - [c22]Zili Zhang, Yinmin Zhong, Yimin Jiang, Hanpeng Hu, Jianjian Sun, Zheng Ge, Yibo Zhu, Daxin Jiang, Xin Jin:
DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models. SIGCOMM 2025: 24-38 - [i24]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:
InfinitePOD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers. CoRR abs/2502.03885 (2025) - [i23]Xin Tan, Yuetao Chen, Yimin Jiang, Xing Chen, Kun Yan, Nan Duan, Yibo Zhu, Daxin Jiang, Hong Xu:
DSV: Exploiting Dynamic Sparsity to Accelerate Large-Scale Video DiT Training. CoRR abs/2502.07590 (2025) - [i22]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:
Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model. CoRR abs/2503.11251 (2025) - [i21]Zhenliang Xue, Hanpeng Hu, Xing Chen, Yimin Jiang, Yixin Song, Zeyu Mi, Yibo Zhu, Daxin Jiang, Yubin Xia, Haibo Chen:
PipeWeaver: Addressing Data Dynamicity in Large Multimodal Model Training with Dynamic Interleaved Pipeline. CoRR abs/2504.14145 (2025) - [i20]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:
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation. CoRR abs/2504.15930 (2025) - [i19]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:
Step1X-Edit: A Practical Framework for General Image Editing. CoRR abs/2504.17761 (2025) - [i18]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:
Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model. CoRR abs/2506.08967 (2025) - [i17]Yicheng Feng, Xin Tan, Kin Hang Sew, Yimin Jiang, Yibo Zhu, Hong Xu:
Frontier: Simulating the Next Generation of LLM Inference Systems. CoRR abs/2508.03148 (2025) - [i16]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:
NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale. CoRR abs/2508.10711 (2025) - [i15]Bingyang Wu, Zili Zhang, Yinmin Zhong, Guanzhe Huang, Yibo Zhu, Xuanzhe Liu, Xin Jin:
TokenLake: A Unified Segment-level Prefix Cache Pool for Fine-grained Elastic Long-Context LLM Serving. CoRR abs/2508.17219 (2025) - 2024
- [j4]Xuanzhe Liu, Yihao Zhao, Shufan Liu, Xiang Li, Yibo Zhu, Xin Liu, Xin Jin:
MuxFlow: efficient GPU sharing in production-level clusters with more than 10000 GPUs. Sci. China Inf. Sci. 67(12) (2024) - [j3]Xin Jin, Zhihao Bai, Zhen Zhang, Yibo Zhu, Yinmin Zhong, Xuanzhe Liu:
DistMind: Efficient Resource Disaggregation for Deep Learning Workloads. IEEE/ACM Trans. Netw. 32(3): 2422-2437 (2024) - [c21]Hanpeng Hu, Junwei Su, Juntao Zhao, Yanghua Peng, Yibo Zhu, Haibin Lin, Chuan Wu:
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs. EuroSys 2024: 1054-1074 - [c20]Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Yibo Zhu, Chuan Wu:
QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices. IPDPS 2024: 193-204 - [c19]Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu, Yibo Zhu, Xuanzhe Liu, Xin Jin, Hao Zhang:
DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving. OSDI 2024: 193-210 - [i14]Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu, Yibo Zhu, Xuanzhe Liu, Xin Jin, Hao Zhang:
DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving. CoRR abs/2401.09670 (2024) - [i13]Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Yibo Zhu, Chuan Wu:
QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices. CoRR abs/2407.02327 (2024) - [i12]Zili Zhang, Yinmin Zhong, Ranchen Ming, Hanpeng Hu, Jianjian Sun, Zheng Ge, Yibo Zhu, Xin Jin:
DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models. CoRR abs/2408.04275 (2024) - [i11]Yinmin Zhong, Zili Zhang, Bingyang Wu, Shengyu Liu, Yukun Chen, Changyi Wan, Hanpeng Hu, Lei Xia, Ranchen Ming, Yibo Zhu, Xin Jin:
RLHFuse: Efficient RLHF Training for Large Language Models with Inter- and Intra-Stage Fusion. CoRR abs/2409.13221 (2024) - 2023
- [j2]Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, Yanghua Peng, Chuan Wu, Yibo Zhu:
SP-GNN: Learning structure and position information from graphs. Neural Networks 161: 505-514 (2023) - [c18]Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang:
Lyra: Elastic Scheduling for Deep Learning Clusters. EuroSys 2023: 835-850 - [c17]Zhuang Wang, Haibin Lin, Yibo Zhu, T. S. Eugene Ng:
Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies. EuroSys 2023: 867-882 - [c16]Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo:
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. NSDI 2023: 103-118 - [c15]Jiamin Li, Yimin Jiang, Yibo Zhu, Cong Wang, Hong Xu:
Accelerating Distributed MoE Training and Inference with Lina. USENIX ATC 2023: 945-959 - [i10]Yihao Zhao, Xin Liu, Shufan Liu, Xiang Li, Yibo Zhu, Gang Huang, Xuanzhe Liu, Xin Jin:
MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep Learning Clusters. CoRR abs/2303.13803 (2023) - [i9]Xinhao Kong, Yibo Zhu, Huaping Zhou, Zhuo Jiang, Jianxi Ye, Chuanxiong Guo, Danyang Zhuo:
Collie: Finding Performance Anomalies in RDMA Subsystems. CoRR abs/2304.11467 (2023) - [i8]Hanpeng Hu, Junwei Su, Juntao Zhao, Yanghua Peng, Yibo Zhu, Haibin Lin, Chuan Wu:
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs. CoRR abs/2311.09690 (2023) - 2022
- [c14]Hanpeng Hu, Chenyu Jiang, Yuchen Zhong, Yanghua Peng, Chuan Wu, Yibo Zhu, Haibin Lin, Chuanxiong Guo:
dPRO: A Generic Performance Diagnosis and Optimization Toolkit for Expediting Distributed DNN Training. MLSys 2022 - [c13]Yangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng, Haibin Lin, Chuan Wu, Yibo Zhu:
SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training. NeurIPS 2022 - [c12]Xinhao Kong, Yibo Zhu, Huaping Zhou, Zhuo Jiang, Jianxi Ye, Chuanxiong Guo, Danyang Zhuo:
Collie: Finding Performance Anomalies in RDMA Subsystems. NSDI 2022: 287-305 - [c11]Yihao Zhao, Yuanqiang Liu, Yanghua Peng, Yibo Zhu, Xuanzhe Liu, Xin Jin:
Multi-resource interleaving for deep learning training. SIGCOMM 2022: 428-440 - [i7]Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang:
Aryl: An Elastic Cluster Scheduler for Deep Learning. CoRR abs/2202.07896 (2022) - [i6]Hanpeng Hu, Chenyu Jiang, Yuchen Zhong, Yanghua Peng, Chuan Wu, Yibo Zhu, Haibin Lin, Chuanxiong Guo:
dPRO: A Generic Profiling and Optimization System for Expediting Distributed DNN Training. CoRR abs/2205.02473 (2022) - [i5]Zhuang Wang, Haibin Lin, Yibo Zhu, T. S. Eugene Ng:
Espresso: Revisiting Gradient Compression from the System Perspective. CoRR abs/2205.14465 (2022) - [i4]Jiamin Li, Yimin Jiang, Yibo Zhu, Cong Wang, Hong Xu:
Lita: Accelerating Distributed Training of Sparsely Activated Models. CoRR abs/2210.17223 (2022) - 2021
- [c10]Cheng Tan, Yibo Zhu, Chuanxiong Guo:
Building verified neural networks with specifications for systems. APSys 2021: 42-47 - [c9]Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy:
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly. ICLR 2021 - [i3]Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy:
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly. CoRR abs/2105.10762 (2021) - [i2]Cheng Tan, Zhichao Li, Jian Zhang, Yu Cao, Sikai Qi, Zherui Liu, Yibo Zhu, Chuanxiong Guo:
Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem. CoRR abs/2109.11067 (2021) - [i1]Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo:
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. CoRR abs/2112.08541 (2021) - 2020
- [c8]Yangrui Chen, Yanghua Peng, Yixin Bao, Chuan Wu, Yibo Zhu, Chuanxiong Guo:
Elastic parameter server load distribution in deep learning clusters. SoCC 2020: 507-521 - [c7]Yimin Jiang, Yibo Zhu, Chang Lan, Bairen Yi, Yong Cui, Chuanxiong Guo:
A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters. OSDI 2020: 463-479 - [c6]Zhihao Bai, Zhen Zhang, Yibo Zhu, Xin Jin:
PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications. OSDI 2020: 499-514
2010 – 2019
- 2019
- [c5]Daehyeok Kim, Tianlong Yu, Hongqiang Harry Liu, Yibo Zhu, Jitu Padhye, Shachar Raindel, Chuanxiong Guo, Vyas Sekar, Srinivasan Seshan:
FreeFlow: Software-based Virtual RDMA Networking for Containerized Clouds. NSDI 2019: 113-126 - [c4]Juncheng Gu, Mosharaf Chowdhury, Kang G. Shin, Yibo Zhu, Myeongjae Jeon, Junjie Qian, Hongqiang Harry Liu, Chuanxiong Guo:
Tiresias: A GPU Cluster Manager for Distributed Deep Learning. NSDI 2019: 485-500 - [c3]Yanghua Peng, Yibo Zhu, Yangrui Chen, Yixin Bao, Bairen Yi, Chang Lan, Chuan Wu, Chuanxiong Guo:
A generic communication scheduler for distributed DNN training acceleration. SOSP 2019: 16-29 - 2015
- [c2]Yibo Zhu, Haggai Eran, Daniel Firestone, Chuanxiong Guo, Marina Lipshteyn, Yehonatan Liron, Jitendra Padhye, Shachar Raindel, Mohamad Haj Yahia, Ming Zhang:
Congestion Control for Large-Scale RDMA Deployments. SIGCOMM 2015: 523-536 - 2013
- [j1]Jiaxin Cao, Chuanxiong Guo, Guohan Lu, Yongqiang Xiong, Yixin Zheng, Yongguang Zhang, Yibo Zhu, Chen Chen, Ye Tian:
Datacast: A Scalable and Efficient Reliable Group Data Delivery Service for Data Centers. IEEE J. Sel. Areas Commun. 31(12): 2632-2645 (2013) - 2012
- [c1]Jiaxin Cao, Chuanxiong Guo, Guohan Lu, Yongqiang Xiong, Yixin Zheng, Yongguang Zhang, Yibo Zhu, Chen Chen:
Datacast: a scalable and efficient reliable group data delivery service for data centers. CoNEXT 2012: 37-48
Coauthor Index
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