Hang Zhu


             Hang Zhu

            Research Scientist @ ByteDance Seed
            Google Scholar
       
            E-mail: hangzhu16 [AT] gmail [DOT] com

Bio

I work on LLM infrastructure at ByteDance Seed, building and optimizing high-performance training frameworks for large-scale pre-training and post-training. I obtained my PhD degree from Johns Hopkins University in 2022, advised by Prof. Xin Jin. I received my bachelor's degree from Tsinghua University, China.

Education

  • Ph. D. in Department of Computer Science, Johns Hopkins University, 2017 - 2022
  • B.E. in Department of Automation, Tsinghua University, 2013 - 2017

    • Selected Publications

    AI + System

  • It Takes Two to Entangle
    Zhanghan Wang, Ding Ding, Hang Zhu, Habin Lin, Aurojit Panda
    ASPLOS, 2026
    [PDF]
  • Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning
    ByteDance Seed Team
    [Arxiv 2025]
  • VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
    Yufeng Yuan, Qiying Yu, Xiaochen Zuo, Ruofei Zhu, Wenyuan Xu, Jiaze Chen, Chengyi Wang, TianTian Fan, Zhengyin Du, Xiangpeng Wei, Gaohong Liu, Juncai Liu, Lingjun Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Chi Zhang, Mofan Zhang, Wang Zhang Hang Zhu, Ru Zhang, Xin Liu, Mingxuan Wang, Yonghui Wu, Lin Yan
    [Arxiv 2025]
  • DAPO: An Open-Source LLM Reinforcement Learning System at Scale
    Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Tiantian Fan, Gaohong Liu, Lingjun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Weinan Dai, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Mu Qiao, Yonghui Wu, Mingxuan Wang
    [Arxiv 2025] [Project]
  • Minder: Faulty Machine Detection for Large-scale Distributed Model Training
    Yangtao Deng, Xiang Shi, Zhuo Jiang, Xingjian Zhang, Lei Zhang, Zhang Zhang, Bo Li, Zuquan Song, Hang Zhu, Gaohong Liu, Fuliang Li, Shuguang Wang, Haibin Lin, Jianxi Ye, Minlan Yu
    NSDI, 2025
    [PDF]
  • Network Planning with Deep Reinforcement Learning
    Hang Zhu, Varun Gupta, Satyajeet Singh Ahuja, Yuandong Tian, Ying Zhang, Xin Jin
    SIGCOMM, 2021
    [PDF] [Slides(long)] [Slides(short)] [Code]
  • Neural Packet Classification
    Eric Liang, Hang Zhu, Xin Jin, Ion Stoica
    SIGCOMM, 2019
    [PDF] [Slides] [Code]

    • Core Distributed Systems and Networking

  • Klotski: Efficient and Safe Network Migration of Large Production Datacenters
    Yihao Zhao*, Xiaoxiang Zhang*, Hang Zhu, Ying Zhang, Zhaodong Wang, Yuandong Tian, Alex Nikulkov, Joao Ferreira, Xuanzhe Liu, Xin Jin
    SIGCOMM, 2023
    [PDF]
  • NetVRM: Virtual Register Memory for Programmable Networks
    Hang Zhu, Tao Wang, Yi Hong, Dan R. K. Ports, Anirudh Sivaraman, Xin Jin
    NSDI, 2022
    [PDF] [Slides]
  • Runtime Recovery of Web Applications under Zero-Day ReDoS Attacks
    Zhihao Bai, Ke Wang, Hang Zhu, Yinzhi Cao, Xin Jin
    S&P, 2021
    [PDF] [Slides(long)] [Slides(short)] [Code]
  • RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers
    Hang Zhu, Kostis Kaffes, Zixu Chen, Zhenming Liu, Christos Kozyrakis, Ion Stoica, Xin Jin
    OSDI, 2020
    [PDF] [Slides(long)] [Slides(short)] [Code]
  • Multitenancy for Fast and Programmable Networks in the Cloud
    Tao Wang, Hang Zhu, Fabian Ruffy, Xin Jin, Anirudh Sivaraman, Dan R. K. Ports, Aurojit Panda
    HotCloud, 2020
    [PDF] [Slides]
  • Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection
    Hang Zhu, Zhihao Bai, Jialin Li, Ellis Michael, Dan R. K. Ports, Ion Stoica, Xin Jin
    VLDB, 2020
    [PDF] [Slides]

    • Selected academic services

  • Technical program committee: SIGCOMM'26, NSDI'25, PACMI@SOSP'25