Xinchen Wan

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Kai ChenProfessor, HKUSTVerified email at cse.ust.hk
Xudong LiaoHong Kong University of Science and TechnologyVerified email at cse.ust.hk
Junxue ZhangHong Kong University of Science and TechnologyVerified email at cse.ust.hk
Zilong WANGHong Kong University of Science and TechnologyVerified email at connect.ust.hk
Kaiqiang XuHong Kong University of Science and TechnologyVerified email at ust.hk
Yilun JinThe Hong Kong University of Science and TechnologyVerified email at connect.ust.hk
Layong LuoMicrosoftVerified email at microsoft.com
Chuanxiong GuoSysnetome.comVerified email at ieee.org
Hong ZhangUniversity of WaterlooVerified email at uwaterloo.ca
Shuihai HuHuaweiVerified email at cse.ust.hk
Xin JinPeking UniversityVerified email at pku.edu.cn
Jingrong ChenDuke UniversityVerified email at duke.edu
Chaoliang ZengBitIntelligence
Han TianHong Kong University of Science and TechnologyVerified email at connect.ust.hk

Xinchen Wan

Hong Kong University of Science and Technology

Verified email at connect.ust.hk - Homepage

data center networking machine learning system hardware acceleration


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{SRNIC}: A scalable architecture for {RDMA}{NICs} Z Wang, L Luo, Q Ning, C Zeng, W Li, X Wan, P Xie, T Feng, K Cheng, ... 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023	60	2023
Rat-resilient allreduce tree for distributed machine learning X Wan, H Zhang, H Wang, S Hu, J Zhang, K Chen Proceedings of the 4th Asia-Pacific Workshop on Networking, 52-57, 2020	40	2020
Scalable and efficient full-graph gnn training for large graphs X Wan, K Xu, X Liao, Y Jin, K Chen, X Jin Proceedings of the ACM on Management of Data 1 (2), 1-23, 2023	34	2023
Tacc: A full-stack cloud computing infrastructure for machine learning tasks K Xu, X Wan, H Wang, Z Ren, X Liao, D Sun, C Zeng, K Chen arXiv preprint arXiv:2110.01556, 2021	33	2021
Domain-specific communication optimization for distributed DNN training H Wang, J Chen, X Wan, H Tian, J Xia, G Zeng, W Wang, K Chen, W Bai, ... arXiv preprint arXiv:2008.08445, 2020	23	2020
Towards {Domain-Specific} Network Transport for Distributed {DNN} Training H Wang, H Tian, J Chen, X Wan, J Xia, G Zeng, W Bai, J Jiang, Y Wang, ... 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2024	14	2024
Dgs: Communication-efficient graph sampling for distributed gnn training X Wan, K Chen, Y Zhang 2022 IEEE 30th International Conference on Network Protocols (ICNP), 1-11, 2022	7	2022
Towards fair and efficient learning-based congestion control X Liao, H Tian, C Zeng, X Wan, K Chen arXiv preprint arXiv:2403.01798, 2024	5	2024
Astraea: Towards Fair and Efficient Learning-based Congestion Control X Liao, H Tian, C Zeng, X Wan, K Chen Proceedings of the Nineteenth European Conference on Computer Systems, 99-114, 2024	3	2024
Accurate and Scalable Rate Limiter for RDMA NICs Z Wang, X Wan, C Zeng, K Chen Proceedings of the 7th Asia-Pacific Workshop on Networking, 15-20, 2023	3	2023
Accelerating Neural Recommendation Training with Embedding Scheduling C Zeng, X Liao, X Cheng, H Tian, X Wan, H Wang, K Chen 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2024	2	2024
mFabric: An Efficient and Scalable Fabric for Mixture-of-Experts Training X Liao, Y Sun, H Tian, X Wan, Y Jin, Z Wang, Z Ren, X Huang, W Li, ... arXiv preprint arXiv:2501.03905, 2025		2025
Design and Operation of Shared Machine Learning Clusters on Campus K Xu, D Sun, H Wang, Z Ren, X Wan, X Liao, Z Wang, J Zhang, K Chen		2025
Achieving Fairness Generalizability for Learning-based Congestion Control with Jury H Tian, X Liao, D Sun, C Zeng, Y Jin, J Zhang, X Wan, Z Wang, Y Wang, ...		2025
Fast, Scalable, and Accurate Rate Limiter for RDMA NICs Z Wang, X Wan, L Li, Y Sun, P Xie, X Wei, Q Ning, J Zhang, K Chen Proceedings of the ACM SIGCOMM 2024 Conference, 568-580, 2024		2024
A Generic and Efficient Communication Framework for Message-level In-Network Computing X Wan, L Li, H Tian, X Liao, X Huang, C Zeng, Z Wang, X Yang, K Cheng, ...

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