Xinchen Wan

23 papers A* 4A 2B 1Misc 3Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Towards Fair and Efficient Congestion Control Through Multi-Agent Deep Reinforcement Learning.
IEEE Trans. Netw.
Han Tian, Xudong Liao, Chaoliang Zeng, Xinchen Wan, Junxue Zhang, Bing Xia, Kai Chen
2025 A* conf
A Generic and Efficient Communication Framework for Message-Level In-Network Computing.
INFOCOM
Xinchen Wan, Luyang Li, Han Tian, Xudong Liao, Xinyang Huang, Chaoliang Zeng, Zilong Wang, Xinyu Yang, Ke Cheng, Qingsong Ning, Guyue Liu, Layong Luo, Kai Chen
2025 A conf
Achieving Fairness Generalizability for Learning-based Congestion Control with Jury.
EuroSys
Han Tian, Xudong Liao, Decang Sun, Chaoliang Zeng, Yilun Jin, Junxue Zhang, Xinchen Wan, Zilong Wang, Yong Wang, Kai Chen
2025 A* conf
Coflow Scheduling for LLM Training.
SIGCOMM
Xinchen Wan, Xinyu Yang, Kaiqiang Xu, Xudong Liao, Yilun Jin, Yijun Sun, Zhenghang Ren, Han Tian, Kai Chen
2025 — conf
Design and Operation of Shared Machine Learning Clusters on Campus.
ASPLOS (1)
Kaiqiang Xu, Decang Sun, Hao Wang, Zhenghang Ren, Xinchen Wan, Xudong Liao, Zilong Wang, Junxue Zhang, Kai Chen
2025 J jnl
EmoHeal: An End-to-End System for Personalized Therapeutic Music Retrieval from Fine-grained Emotions.
CoRR
Xinchen Wan, Jinhua Liang, Huan Zhang
2025 — conf
Harmonia: A Unified Framework for Heterogeneous FPGA Acceleration in the Cloud.
ASPLOS (2)
Luyang Li, Heng Pan, Xinchen Wan, Kai Lv, Zilong Wang, Qian Zhao, Feng Ning, Qingsong Ning, Shideng Zhang, Zhenyu Li, Layong Luo, Gaogang Xie
2025 A* conf
MixNet: A Runtime Reconfigurable Optical-Electrical Fabric for Distributed Mixture-of-Experts Training.
SIGCOMM
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
2025 J jnl
Taurus: Towards A High-Performance and Generic Congestion Control Framework for Datacenter Networks.
Proc. ACM Netw.
Luyang Li, Heng Pan, Pengyi Zhang, Kai Lv, Zilong Wang, Xinchen Wan, Dai Zhang, Xiaolong Zhong, Haoran Wei, Lichao Liu, Huichen Dai, Qingsong Ning, Xin Wei, Shideng Zhang, Hongtao Guan, Zhenyu Li, Gaogang Xie
2025 — conf
Towards Optimal Rack-scale μs-level CPU Scheduling through In-Network Workload Shaping.
USENIX ATC
Xudong Liao, Han Tian, Xinchen Wan, Chaoliang Zeng, Hao Wang, Junxue Zhang, Mengyu Ma, Guyue Liu, Kai Chen
2025 J jnl
mFabric: An Efficient and Scalable Fabric for Mixture-of-Experts Training.
CoRR
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
2024 Misc conf
Accelerating Neural Recommendation Training with Embedding Scheduling.
NSDI
Chaoliang Zeng, Xudong Liao, Xiaodian Cheng, Han Tian, Xinchen Wan, Hao Wang, Kai Chen
2024 A conf
Astraea: Towards Fair and Efficient Learning-based Congestion Control.
EuroSys
Xudong Liao, Han Tian, Chaoliang Zeng, Xinchen Wan, Kai Chen
2024 A* conf
Fast, Scalable, and Accurate Rate Limiter for RDMA NICs.
SIGCOMM
Zilong Wang, Xinchen Wan, Luyang Li, Yijun Sun, Peng Xie, Xin Wei, Qingsong Ning, Junxue Zhang, Kai Chen
2024 Misc conf
Towards Domain-Specific Network Transport for Distributed DNN Training.
NSDI
Hao Wang, Han Tian, Jingrong Chen, Xinchen Wan, Jiacheng Xia, Gaoxiong Zeng, Wei Bai, Junchen Jiang, Yong Wang, Kai Chen
2024 J jnl
Towards Fair and Efficient Learning-based Congestion Control.
CoRR
Xudong Liao, Han Tian, Chaoliang Zeng, Xinchen Wan, Kai Chen
2023 — conf
Accurate and Scalable Rate Limiter for RDMA NICs.
APNet
Zilong Wang, Xinchen Wan, Chaoliang Zeng, Kai Chen
2023 Misc conf
SRNIC: A Scalable Architecture for RDMA NICs.
NSDI
Zilong Wang, Layong Luo, Qingsong Ning, Chaoliang Zeng, Wenxue Li, Xinchen Wan, Peng Xie, Tao Feng, Ke Cheng, Xiongfei Geng, Tianhao Wang, Weicheng Ling, Kejia Huo, Pingbo An, Kui Ji, Shideng Zhang, Bin Xu, Ruiqing Feng, Tao Ding, Kai Chen, Chuanxiong Guo
2023 J jnl
Scalable and Efficient Full-Graph GNN Training for Large Graphs.
Proc. ACM Manag. Data
Xinchen Wan, Kaiqiang Xu, Xudong Liao, Yilun Jin, Kai Chen, Xin Jin
2022 B conf
DGS: Communication-Efficient Graph Sampling for Distributed GNN Training.
ICNP
Xinchen Wan, Kai Chen, Yiming Zhang
2021 J jnl
TACC: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks.
CoRR
Kaiqiang Xu, Xinchen Wan, Hao Wang, Zhenghang Ren, Xudong Liao, Decang Sun, Chaoliang Zeng, Kai Chen
2020 J jnl
Domain-specific Communication Optimization for Distributed DNN Training.
CoRR
Hao Wang, Jingrong Chen, Xinchen Wan, Han Tian, Jiacheng Xia, Gaoxiong Zeng, Weiyan Wang, Kai Chen, Wei Bai, Junchen Jiang
2020 — conf
RAT - Resilient Allreduce Tree for Distributed Machine Learning.
APNet
Xinchen Wan, Hong Zhang, Hao Wang, Shuihai Hu, Junxue Zhang, Kai Chen