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2020 – today
- 2025
[c11]Kaiqiang Xu
, Decang Sun, Hao Wang, Zhenghang Ren, Xinchen Wan, Xudong Liao, Zilong Wang, Junxue Zhang, Kai Chen:
Design and Operation of Shared Machine Learning Clusters on Campus. ASPLOS (1) 2025: 295-310- [c10]Han Tian, Xudong Liao, Decang Sun, Chaoliang Zeng, Yilun Jin, Junxue Zhang, Xinchen Wan, Zilong Wang, Yong Wang, Kai Chen:
Achieving Fairness Generalizability for Learning-based Congestion Control with Jury. EuroSys 2025: 413-427 - [c9]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:
A Generic and Efficient Communication Framework for Message-Level In-Network Computing. INFOCOM 2025: 1-10 - [c8]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:
Enabling Efficient GPU Communication over Multiple NICs with FuseLink. OSDI 2025: 91-108 - [c7]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:
MixNet: A Runtime Reconfigurable Optical-Electrical Fabric for Distributed Mixture-of-Experts Training. SIGCOMM 2025: 554-574 - [c6]Xinchen Wan, Xinyu Yang, Kaiqiang Xu, Xudong Liao, Yilun Jin, Yijun Sun, Zhenghang Ren, Han Tian, Kai Chen:
Coflow Scheduling for LLM Training. SIGCOMM 2025: 1232-1234 - [c5]Xudong Liao, Han Tian, Xinchen Wan, Chaoliang Zeng, Hao Wang, Junxue Zhang, Mengyu Ma, Guyue Liu, Kai Chen:
Towards Optimal Rack-scale μs-level CPU Scheduling through In-Network Workload Shaping. USENIX ATC 2025: 179-198 - [i5]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:
mFabric: An Efficient and Scalable Fabric for Mixture-of-Experts Training. CoRR abs/2501.03905 (2025) - [i4]Wenxue Li, Xiangzhou Liu, Yuxuan Li, Yilun Jin, Zhenghang Ren, Xudong Liao, Han Tian, Bo Ren, Zhizhen Zhong, Guyue Liu, Ying Zhang, Kai Chen:
Analyzing Communication Predictability in LLM Training. CoRR abs/2512.24750 (2025) - 2024
- [j4]Liangrui Fu, Jinqiu Deng, Baoliang Zhu, Zengyan Li, Xudong Liao:
AFOD: Two-stage object detection based on anchor-free remote sensing photos. Open Comput. Sci. 14(1) (2024) - [j3]Han Tian, Xudong Liao, Chaoliang Zeng, Decang Sun, Junxue Zhang, Kai Chen:
Efficient DRL-Based Congestion Control With Ultra-Low Overhead. IEEE/ACM Trans. Netw. 32(3): 1888-1903 (2024) - [c4]Xudong Liao, Han Tian, Chaoliang Zeng, Xinchen Wan, Kai Chen:
Astraea: Towards Fair and Efficient Learning-based Congestion Control. EuroSys 2024: 99-114 - [c3]Chaoliang Zeng, Xudong Liao, Xiaodian Cheng, Han Tian, Xinchen Wan, Hao Wang, Kai Chen:
Accelerating Neural Recommendation Training with Embedding Scheduling. NSDI 2024 - [i3]Xudong Liao, Han Tian, Chaoliang Zeng, Xinchen Wan, Kai Chen:
Towards Fair and Efficient Learning-based Congestion Control. CoRR abs/2403.01798 (2024) - 2023
- [j2]Xinchen Wan, Kaiqiang Xu, Xudong Liao, Yilun Jin, Kai Chen, Xin Jin:
Scalable and Efficient Full-Graph GNN Training for Large Graphs. Proc. ACM Manag. Data 1(2): 143:1-143:23 (2023) - [j1]Zhenchang Xia, Libing Wu, Fei Wang, Xudong Liao, Haiyan Hu, Jia Wu, Dan Wu:
Glider: rethinking congestion control with deep reinforcement learning. World Wide Web (WWW) 26(1): 115-137 (2023) - 2022
- [c2]Han Tian, Xudong Liao, Chaoliang Zeng, Junxue Zhang, Kai Chen:
Spine: an efficient DRL-based congestion control with ultra-low overhead. CoNEXT 2022: 261-275 - [c1]Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin:
Multi-objective congestion control. EuroSys 2022: 218-235 - 2021
- [i2]Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin:
Multi-Objective Congestion Control. CoRR abs/2107.01427 (2021) - [i1]Kaiqiang Xu, Xinchen Wan, Hao Wang, Zhenghang Ren, Xudong Liao, Decang Sun, Chaoliang Zeng, Kai Chen:
TACC: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks. CoRR abs/2110.01556 (2021)
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