Publications by Kaiqiang Xu

My research focuses on improving the efficiency and accessibility of machine learning systems and AI computing infrastructure. I work on designing new abstractions, parallelization strategies, and scheduling algorithms that exploit the unique characteristics of machine learning workloads and large-scale clusters.

GREEN: Carbon-efficient Resource Scheduling for Machine Learning Clusters

Kaiqiang Xu, Decang Sun, Han Tian, Junxue Zhang, Kai Chen

NSDI '25 USENIX Symposium on Networked Systems Design and Implementation

Design and Operation of Shared Machine Learning Clusters on Campus

Kaiqiang Xu, Decang Sun, Hao Wang, Zhenghang Ren, Xinchen Wan, Xudong Liao, Zilong Wang, Junxue Zhang, Kai Chen

ASPLOS '25 ACM International Conference on Architectural Support for Programming Languages and Operating Systems

Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data

Kaiqiang Xu, Di Chai, Junxue Zhang, Fan Lai, Kai Chen

SIGMOD '25 ACM International Conference on Management of Data

Enabling Efficient GPU Communication over Multiple NICs with FuseLink

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

OSDI '25 USENIX Symposium on Operating Systems Design and Implementation

Scalable and Efficient Full-Graph GNN Training for Large Graphs

Xinchen Wan, Kaiqiang Xu (Co-first Author), Xudong Liao, Yilun Jin, Kai Chen, Xin Jin

SIGMOD '23 ACM International Conference on Management of Data

Full publication list including preprints, is available on Google Scholar.