Xinchen Wan

According to our database, Xinchen Wan authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Fair and Efficient Learning-based Congestion Control.

Xudong Liao, Han Tian, Chaoliang Zeng, Xinchen Wan, Kai Chen

CoRR, 2024

Fast, Scalable, and Accurate Rate Limiter for RDMA NICs.

Zilong Wang, Xinchen Wan, Luyang Li, Yijun Sun, Peng Xie, Xin Wei, Qingsong Ning, Junxue Zhang, Kai Chen

Proceedings of the ACM SIGCOMM 2024 Conference, 2024

Accelerating Neural Recommendation Training with Embedding Scheduling.

Chaoliang Zeng, Xudong Liao, Xiaodian Cheng, Han Tian, Xinchen Wan, Hao Wang, Kai Chen

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

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

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Astraea: Towards Fair and Efficient Learning-based Congestion Control.

Xudong Liao, Han Tian, Chaoliang Zeng, Xinchen Wan, Kai Chen

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023

Scalable and Efficient Full-Graph GNN Training for Large Graphs.

Xinchen Wan, Kaiqiang Xu, Xudong Liao, Yilun Jin, Kai Chen, Xin Jin

Proc. ACM Manag. Data, 2023

SRNIC: A Scalable Architecture for RDMA NICs.

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

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Accurate and Scalable Rate Limiter for RDMA NICs.

Zilong Wang, Xinchen Wan, Chaoliang Zeng, Kai Chen

Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

2022

DGS: Communication-Efficient Graph Sampling for Distributed GNN Training.

Xinchen Wan, Kai Chen, Yiming Zhang

Proceedings of the 30th IEEE International Conference on Network Protocols, 2022

2021

TACC: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks.

Kaiqiang Xu, Xinchen Wan, Hao Wang, Zhenghang Ren, Xudong Liao, Decang Sun, Chaoliang Zeng, Kai Chen

CoRR, 2021

2020

Domain-specific Communication Optimization for Distributed DNN Training.

Hao Wang, Jingrong Chen, Xinchen Wan, Han Tian, Jiacheng Xia, Gaoxiong Zeng, Weiyan Wang, Kai Chen, Wei Bai, Junchen Jiang

CoRR, 2020

RAT - Resilient Allreduce Tree for Distributed Machine Learning.

Xinchen Wan, Hong Zhang, Hao Wang, Shuihai Hu, Junxue Zhang, Kai Chen

Proceedings of the APNet '20: 4th Asia-Pacific Workshop on Networking, 2020