Han Tian 田晗

Assistant Professor The University of Science and Technology of China Email: henrytian@ustc.edu.cn Find me on: Google Scholar

About Me

I am currently an assistant professor in the University of Science and Technology of China. In 2023, I received my Ph.D. degree in Hong Kong University of Science and Technology, supervised by Prof. Kai Chen and Prof. Qiang Yang. Before that, I received my B.Eng in biology engineering in 2012 from Beihang University and M.Eng. in computer science from SYSU. My research interests are machine learning and its various applications in all possible aspects, including networking, system and privacy computing.

News

• Jul. 2026   ARIES accepted to ICNP 2026.

• 2026   FCP accepted to SoCC 2026.

• 2026   Unlocking Full Efficiency of Token Filtering in Large Language Model Training accepted to ICLR 2026.

• 2026   PolicyCache accepted to NSDI 2026.

• 2026   Learn-to-Probe and MFS accepted to EuroSys 2026.

• 2026   CascadeNet accepted to NSDI 2026.

• 2025   Coflow Scheduling for LLM Training and MixNet accepted to SIGCOMM 2025.

• 2025   GREEN accepted to NSDI 2025.

Publications (Google Scholar)

• ARIES: Cost-Efficient Tunnel Gateway Offload on Programmable Switches
  Decang Sun, Gonglong Chen, Chaoliang Zeng, Kaiqiang Xu, Han Tian, Zili Meng, Wei Chen, Yuxi Wang, Kai Chen.
  ICNP ‘26

• FCP: Fast User-space RDMA Control Plane Setup for Elastic Computing
  Junxue Zhang, Han Tian, Xinyang HUANG, Wenxue Li, Kaiqiang Xu, Dian Shen, Kai Chen.
  SoCC ‘26

• Unlocking Full Efficiency of Token Filtering in Large Language Model Training
  Di Chai, LI Pengbo, Feiyuan Zhang, Yilun Jin, Han Tian, Kaiqiang Xu, Binhang Yuan, Dian Shen, Junxue Zhang, Kai Chen.
  ICLR ‘26

• PolicyCache: Intra-flow Learning in Congestion Control
  Han Tian; Han Wang; Wenbo Li; Xudong Liao; Decang Sun; Wenxue Li; Donghui Chen; Bin Huang; Senbo Fu; Junxue Zhang; Dian Shen; Kai Chen.
  NSDI ‘26

• Learn-to-Probe: Achieving Signal Distinguishability in Learning-based Congestion Control
  Han Tian; Wenbo Li; Junxue Zhang; Xudong Liao; Decang Sun; Donghui Chen; Bin Huang; Wenxue Li; Yong Wang; Kai Chen.
  EuroSys ‘26

• MFS: An Efficient Model Family Serving System for Large Language Models
  Yunxuan Zhang; Hao Wang; Han Tian; Liu Yang; Xudong Liao; Wenxue Li; Ping Yin; Bowen Liu; Kai Chen.
  EuroSys ‘26

• CascadeNet: Generating Network Traffic with High-Fidelity Temporal Patterns
  Runwei Lu; Yanran Deng; Ruixuan Li; Jinting Liu; Yuejie Wang; Xinyu Li; Deming Xu; Han Tian; Kai Chen; Guyue Liu.
  NSDI ‘26

• Towards Fair and Efficient Congestion Control through Multi-Agent Deep Reinforcement Learning
  Han Tian; Xudong Liao; Chaoliang Zeng; Xinchen Wan; Junxue Zhang; Bing Xia; Kai Chen.
  IEEE Transactions on Networking (ToN), 2026

• Coflow Scheduling for LLM Training
  Xinchen Wan; Xinyu Yang; Kaiqiang Xu; Xudong Liao; Yilun Jin; Yijun Sun; Zhenghang Ren, Han Tian; Kai Chen.
  SIGCOMM ‘25 Short

• MixNet: A Runtime Reconfigurable Optical-Electrical Fabric for Distributed Mixture-of-Experts Training
  Xudong Liao; Yijun Sun; Han Tian; Xinchen Wan; Yilun Jin; Zilong Wang; Zhenghang Ren; Xinyang Huang; Wenxue Li; Kin Fai Tse; Zhizhen Zhong; Guyue Liu; Ying Zhang; Xiaofeng Ye; Yiming Zhang; Kai Chen.
  SIGCOMM ‘25

• Exploiting Student Parallelism for Low-latency GPU Inference of BERT-like Models in Online Services
  Weiyan Wang; Yilun Jin; Yiming Zhang; Victor Junqiu Wei; Han Tian; Li Chen; Jinbao Xue; Yangyu Tao; Di Wang; Kai Chen.
  KDD ‘25

• Towards Optimal Rack-scale μs-level CPU Scheduling through In-Network Workload Shaping
  Xudong Liao; Han Tian; Xinchen Wan; Chaoliang Zeng; Hao Wang; Junxue Zhang; Mengyu Ma; Guyue Liu; Kai Chen.
  ATC ‘25

• Enabling Efficient GPU Communication over Multiple NICs with FuseLink
  Zhenghang Ren; Yuxuan Li; Zilong Wang; Xinyang Huang; Wenxue Li; Kaiqiang Xu; Xudong Liao; Yijun Sun; Bowen Liu; Han Tian; Junxue Zhang; Mingfei Wang; Zhizhen Zhong; Guyue Liu; Ying Zhang; Kai Chen.
  OSDI ‘25

• GREEN: Carbon-efficient Resource Scheduling for Machine Learning Clusters
  Kaiqiang Xu; Decang Sun; Han Tian^†; Junxue Zhang; Kai Chen^†.
  † Co-corresponding authors. NSDI ‘25

• A Generic and Efficient Communication Framework for Message-level In-Network Computing
  Xinchen Wan; Luyang Li; Han Tian; Xudong Liao; Xinyang Huang; Chaoliang Zeng; Zilong Wang; Xinyu Yang; Ke Cheng; Qingsong Ning; Grace Liu; Layong Luo; Kai Chen.
  IEEE INFOCOM ‘25

• Achieving Fairness Generalizability for Learning-based Congestion Control with Jury
  Han Tian; Xudong Liao; Decang Sun; Chaoliang Zeng; Yilun Jin; Junxue Zhang; Xinchen Wan; Zilong Wang; Yong Wang; Kai Chen.
  EuroSys ‘25

• Topo-X: Co-optimize Flow Scheduling, Topology, and ML Training Parallelism
  YiXiang Hu; Han Tian; Yifang Zhao; Feng Wu; Xiangyang Li.
  The 2nd International Workshop on Artificial Intelligence Empowered Communication and Networking (AI-CommNet) in conjunction with ICCCN 2025

• FOSS: Learning-Based Multi-level Design Makes FIFO More Adaptive for CDN Caching
  Huiyou Zhan,Haisheng Tan,Xinyue Zhang,Han Tian;Hongqiu Ni,Yongzheng Liang,Changming Bai,Xiang-Yang Li
  IEEE Transactions on Parallel and Distributed Systems (TPDS), 2025

• Samples Dispatching Mechanism for Accelerating Recommendation Model Training in Edge Intelligent Computing System
  Li Guopeng; Tan Haisheng; Zhang Chi; Ni Hongqiu; Wang Zilong; Zhang Xinyue; Xu Yang; Han Tian; Chen Guoliang.
  Journal of Computer Research and Development, 2025 [Paper]

• Prediction of peripheral blood lymphocyte subpopulations after renal transplantation
  Bo Peng; Xuyu Xiang; Han Tian; Kaiqiang Xu; Quan Zhuang; Junhui Li; Pengpeng Zhang; Yi Zhu; Min Yang; Jia Liu; Yujun Zhao; Ke Cheng; Yingzi Ming.
  Renal Failure, 2025.

• Astraea: Towards Fair and Efficient Learning-based Congestion Control
  Xudong Liao*; Han Tian*(co-first); Chaoliang Zeng; Xinchen Wan; Kai Chen.
  EuroSys ‘24

• Towards Domain-Specific Network Transport for Distributed DNN Training
  Hao Wang; Han Tian; Jingrong Chen; Xinchen Wan; Jiacheng Xia; Gaoxiong Zeng; Wei Bai; Junchen Jiang; Yong Wang; Kai Chen.
  NSDI ‘24

• Accelerating Neural Recommendation Training with Embedding Scheduling
  Chaoliang Zeng; Xudong Liao; Xiaodian Cheng; Han Tian; Xinchen Wan; Hao Wang; Kai Chen.
  NSDI ‘24

• Accelerating Privacy-Preserving Machine Learning With GeniBatch
  Xinyang Huang; Junxue Zhang; Xiaodian Cheng; Hong Zhang; Yilun Jin; Shuihai Hu; Han Tian; Kai Chen.
  EuroSys ‘24

• Understanding Communication Characteristics of Distributed Training
  Wenxue Li; Xiangzhou Liu; Yuxuan Li; Yilun Jin; Han Tian; Zhizhen Zhong; Guyue Liu; Ying Zhang; Kai Chen.
  The 8th Asia-Pacific Workshop on Networking (APNet’24)

• Distributed Traffic Engineering in Hybrid Software Defined Networks: A Multi-Agent Reinforcement Learning Framework
  Yingya Guo; Bin Lin; Qi Tang; Yulong Ma; Huan Luo; Han Tian; Kai Chen
  IEEE Transactions on Network and Service Management. 2024.

• High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning
  Junxue Zhang; Xiaodian Cheng; Liu Yang; Jinbin Hu; Han Tian; Kai Chen
  Transactions on Parallel and Distributed Systems. 2024.

• Efficient DRL-based Congestion Control with Ultra-low Overhead
  Han Tian; Xudong Liao; Chaoliang Zeng; Decang Sun; Junxue Zhang; Kai Chen.
  IEEE/ACM Transactions on Networking. 2024.

• MDP: Model Decomposition and Parallelization of Vision Transformer for Distributed Edge Inference
  Weiyan Wang; Yiming Zhang; Yilun Jin; Han Tian; Li Chen.
  The 19th International Conference on Mobility, Sensing, and Networking (MSN '23)

• Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud
  Han Tian, Chaoliang Zeng; Zhenghang Ren; Di Chai; Junxue Zhang; Kai Chen; Qiang Yang.
  IEEE S&P ‘22 [Paper]

• Spine: An Efficient DRL-based Congestion Control with Ultra-low Overhead
  Han Tian, Xudong Liao, Chaoliang Zeng, Kai Chen.
  CoNEXT ‘22 [Paper]

• Multi-Objective Congestion Control
  Ma, Yiqing; Han Tian; Xudong Liao; Junxue Zhang; Weiyan Wang; Kai Chen; Xin Jin.
  EuroSys ‘22 [Paper]

• Herald: An Embedding Scheduler for Distributed Embedding Model Training.
  Chaoliang Zeng; Xiaodian CHENG; Han Tian; Hao WANG; Kai Chen.
  The 6th Asia-Pacific Workshop on Networking (APNet'22), Fuzhou, China, 1-2, July, 2022.

• The study of the association between immune monitoring and pneumonia in kidney transplant recipients through machine learning models.
  Bo Peng; Hang Gong; Han Tian; Quan Zhuang; Junhui Li; Ke Cheng; Yingzi Ming.
  Journal of Translational Medicine, v. 18, (1), 29 September 2020

• Quantifying the Performance of Federated Transfer Learning.
  Qinghe Jing; Weiyan Wang; Junxue Zhang; Han Tian; Kai Chen
  International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML’19) in conjunction with IJCAI-19

Experiences and Services

• Journal Reviewer: IEEE Transactions on Networking (ToN), IEEE Transactions on Mobile Computing (TMC), Frontiers of Computer Science (FCS)
• Eurosys 2026 Program Committee Member
• ChinaSys 2025 Program Committee Member
• CoNEXT 2025/26 Technical Program Committee Member
• HKSAIR Deep Learning Workshop
  Hong Kong Society of Artificial Intelligence and Robotics (HK-SAIR), 2018-2020
• Teach assistant at HKUST (2017-2021)
  C++; Computer Architecture; Foundation of Data Analysis
  
• Lecturer at University of Science and Technology of China
  《智能计算系统》(Intelligent Computing Systems), 2024
  《智能计算软件优化》(Software Optimization for Intelligent Computing), 2025