Paper2vec: Citation-Context Based Document Distributed Representation for Scholar Recommendation. - Han Tian; Hankz Hankui Zhuo (CoRR, 2017)

Quantifying the Performance of Federated Transfer Learning. - Qinghe Jing; Weiyan Wang; Junxue Zhang 001; Han Tian; Kai Chen 005 (CoRR, 2019)

Aquifer Parameter Inversion by Artificial Fish Swarm Algorithm Based on Quantum Theory. - Dasheng Zhang; Jing Tan; Han Tian; Zhongzheng Wang; Wenjun Guo (Ingénierie des Systèmes d Inf., 2019)

Systematic Proportional Method for Improving the Measurement Accuracy of Passive Sensor Measurement System. - Jintao Zhang; Gang Li 002; Yongshun Luo; Shuqiang Yang; Han Tian; Ling Lin 003 (IEEE Access, 2020)

Domain-specific Communication Optimization for Distributed DNN Training. - Hao Wang 116; Jingrong Chen 004; Xinchen Wan; Han Tian; Jiacheng Xia; Gaoxiong Zeng; Weiyan Wang; Kai Chen 005; Wei Bai 001; Junchen Jiang (CoRR, 2020)

CityNet: A Multi-city Multi-modal Dataset for Smart City Applications. - Xu Geng; Yilun Jin; Zhengfei Zheng; Yu Yang 012; Yexin Li; Han Tian; Peibo Duan; Leye Wang; Jiannong Cao 001; Hai Yang; Qiang Yang 001; Kai Chen 005 (CoRR, 2021)

Herald: An Embedding Scheduler for Distributed Embedding Model Training. - Chaoliang Zeng; Xiaodian Cheng; Han Tian; Hao Wang 116; Kai Chen 005 (APNet, 2022)

Spine: an efficient DRL-based congestion control with ultra-low overhead. - Han Tian; Xudong Liao; Chaoliang Zeng; Junxue Zhang 001; Kai Chen 005 (CoNEXT, 2022)

Multi-objective congestion control. - Yiqing Ma; Han Tian; Xudong Liao; Junxue Zhang 001; Weiyan Wang; Kai Chen 005; Xin Jin 008 (EuroSys, 2022)

Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud. - Han Tian; Chaoliang Zeng; Zhenghang Ren; Di Chai; Junxue Zhang 001; Kai Chen 005; Qiang Yang 001 (SP, 2022)

Driving as well as on a Sunny Day? Predicting Driver's Fixation in Rainy Weather Conditions via a Dual-Branch Visual Model. - Han Tian; Tao Deng 002; Hongmei Yan (IEEE CAA J. Autom. Sinica, 2022)

A Dynamic Change Mechanism for Business Process in Science and Technology Service Domain. - Shuangyu Lu; Weilong Ding; Han Tian; Kunfeng Yang; Zhuofeng Zhao (ICSS, 2023)

MDP: Model Decomposition and Parallelization of Vision Transformer for Distributed Edge Inference. - Weiyan Wang; Yiming Zhang; Yilun Jin; Han Tian; Li Chen (MSN, 2023)

A Survey on Vertical Federated Learning: From a Layered Perspective. - Liu Yang 008; Di Chai; Junxue Zhang 001; Yilun Jin; Leye Wang; Hao Liu 026; Han Tian; Qian Xu; Kai Chen 005 (CoRR, 2023)

Distributed Traffic Engineering in Hybrid Software Defined Networks: A Multi-agent Reinforcement Learning Framework. - Yingya Guo; Qi Tang; Yulong Ma; Han Tian; Kai Chen 005 (CoRR, 2023)

Understanding Communication Characteristics of Distributed Training. - Wenxue Li; Xiangzhou Liu; Yuxuan Li; Yilun Jin; Han Tian; Zhizhen Zhong; Guyue Liu; Ying Zhang 022; Kai Chen 005 (APNet, 2024)

Accelerating Privacy-Preserving Machine Learning With GeniBatch. - Xinyang Huang; Junxue Zhang 001; Xiaodian Cheng; Hong Zhang 025; Yilun Jin; Shuihai Hu; Han Tian; Kai Chen 005 (EuroSys, 2024)

Astraea: Towards Fair and Efficient Learning-based Congestion Control. - Xudong Liao; Han Tian; Chaoliang Zeng; Xinchen Wan; Kai Chen 005 (EuroSys, 2024)

Towards Domain-Specific Network Transport for Distributed DNN Training. - Hao Wang 116; Han Tian; Jingrong Chen 004; Xinchen Wan; Jiacheng Xia; Gaoxiong Zeng; Wei Bai 001; Junchen Jiang; Yong Wang 046; Kai Chen 005 (NSDI, 2024)

Accelerating Neural Recommendation Training with Embedding Scheduling. - Chaoliang Zeng; Xudong Liao; Xiaodian Cheng; Han Tian; Xinchen Wan; Hao Wang 116; Kai Chen 005 (NSDI, 2024)

Towards Fair and Efficient Learning-based Congestion Control. - Xudong Liao; Han Tian; Chaoliang Zeng; Xinchen Wan; Kai Chen 005 (CoRR, 2024)

PackVFL: Efficient HE Packing for Vertical Federated Learning. - Liu Yang 008; Shuowei Cai; Di Chai; Junxue Zhang 001; Han Tian; Yilun Jin; Kun Guo 003; Kai Chen 005; Qiang Yang 001 (CoRR, 2024)

Exploiting Student Parallelism for Low-latency GPU Inference of BERT-like Models in Online Services. - Weiyan Wang; Yilun Jin; Yiming Zhang 003; Victor Junqiu Wei; Han Tian; Li Chen 008; Kai Chen 005 (CoRR, 2024)

Efficient DRL-Based Congestion Control With Ultra-Low Overhead. - Han Tian; Xudong Liao; Chaoliang Zeng; Decang Sun; Junxue Zhang 001; Kai Chen 005 (IEEE/ACM Trans. Netw., 2024)

Deep learning for Depression Recognition from Speech. - Han Tian; Zhang Zhu; Xu Jing (Mob. Networks Appl., 2024)

High-Performance Hardware Acceleration Architecture for Cross-Silo Federated Learning. - Junxue Zhang 001; Xiaodian Cheng; Liu Yang 008; Jinbin Hu; Han Tian; Kai Chen 005 (IEEE Trans. Parallel Distributed Syst., 2024)

Distributed Traffic Engineering in Hybrid Software Defined Networks: A Multi-Agent Reinforcement Learning Framework. - Yingya Guo; Bin Lin; Qi Tang; Yulong Ma; Huan Luo 001; Han Tian; Kai Chen 005 (IEEE Trans. Netw. Serv. Manag., 2024)

Achieving Fairness Generalizability for Learning-based Congestion Control with Jury. - Han Tian; Xudong Liao; Decang Sun; Chaoliang Zeng; Yilun Jin; Junxue Zhang 001; Xinchen Wan; Zilong Wang 007; Yong Wang 046; Kai Chen 005 (EuroSys, 2025)

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 007; Xinyu Yang; Ke Cheng; Qingsong Ning; Guyue Liu; Layong Luo; et al. (INFOCOM, 2025)

GREEN: Carbon-efficient Resource Scheduling for Machine Learning Clusters. - Kaiqiang Xu; Decang Sun; Han Tian; Junxue Zhang 001; Kai Chen 005 (NSDI, 2025)

Enabling Efficient GPU Communication over Multiple NICs with FuseLink. - Zhenghang Ren; Yuxuan Li; Zilong Wang 007; Xinyang Huang; Wenxue Li; Kaiqiang Xu; Xudong Liao; Yijun Sun; Bowen Liu; Han Tian; Junxue Zhang 001; Mingfei Wang; et al. (OSDI, 2025)

Towards Optimal Rack-scale μs-level CPU Scheduling through In-Network Workload Shaping. - Xudong Liao; Han Tian; Xinchen Wan; Chaoliang Zeng; Hao Wang 116; Junxue Zhang 001; Mengyu Ma; Guyue Liu; Kai Chen 005 (USENIX ATC, 2025)

mFabric: An Efficient and Scalable Fabric for Mixture-of-Experts Training. - Xudong Liao; Yijun Sun; Han Tian; Xinchen Wan; Yilun Jin; Zilong Wang 007; Zhenghang Ren; Xinyang Huang; Wenxue Li; Kin Fai Tse; Zhizhen Zhong; Guyue Liu; et al. (CoRR, 2025)

PICE: A Semantic-Driven Progressive Inference System for LLM Serving in Cloud-Edge Networks. - Huiyou Zhan; Xuan Zhang; Haisheng Tan; Han Tian; Dongping Yong; Junyang Zhang 001; Xiang-Yang Li (CoRR, 2025)

FLASH-FHE: A Heterogeneous Architecture for Fully Homomorphic Encryption Acceleration. - Junxue Zhang 001; Xiaodian Cheng; Gang Cao; Meng Dai; Yijun Sun; Han Tian; Dian Shen; Yong Wang 046; Kai Chen 005 (CoRR, 2025)

Swift: Rethinking RDMA Control Plane for Elastic Computing. - Junxue Zhang 001; Han Tian; Xinyang Huang; Wenxue Li; Kaiqiang Xu; Dian Shen; Yong Wang 046; Kai Chen 005 (CoRR, 2025)

Enhancing Token Filtering Efficiency in Large Language Model Training with Collider. - Di Chai; Pengbo Li; Feiyuan Zhang; Yilun Jin; Han Tian; Junxue Zhang 001; Kai Chen 005 (CoRR, 2025)

DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue. - Feiyuan Zhang; Dezhi Zhu; James Ming; Yilun Jin; Di Chai; Liu Yang 008; Han Tian; Zhaoxin Fan; Kai Chen 005 (CoRR, 2025)