Xiaolong Ma

Department of Computer Science. University of Nevada, Reno

Be professional, precise and sometimes be perfect.

Xiaolong Ma

About Me

My name is Xiaolong Ma, I am currently a Ph.D. Candidate advised by Prof. Feng Yan and Prof. Lei Yang. I conduct research in the area of machine learning, cloud computing, high performance computing(HPC), distributed and parallel system and storage system. I will be joining Argonne National Laboratory as a postdoctoral researcher in Spring 2025.

Since May 2023, I have been working onsite as a long-term research intern at Data Science and Learning Division at Argonne National Laboratory advised by Dr. Rajkumar Kettimuthu. My work at Argonne primarily focuses on large scale distributed deep learning, High Performance Computing and AI for Science.

Education

  • Ph.D. in Computer Science University of Nevada, Reno Advisor: Dr. Feng Yan & Dr. Lei Yang
  • M.S. in Computer Science University of Nevada, Reno Advisor: Dr. Feng Yan & Dr. Lei Yang
  • M.S. in Civil Engineering University of Nevada, Reno Advisor: Dr. Zong Tian

Publication

Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng, InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache, in Proceedings of the 18th USENIX Conference on File and Storage Technologies (FAST 2020), Santa Clara, CA, USA, Feb, 2020 (long paper, acceptance rate: 16.7%).

Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, and Yue Cheng, SION: Elastic Serverless Cloud Storage, in Proceedings of the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, Aug, 2023 (Paper acceptance rate: TBD).

Xiaolong Ma, Feng Yan, Lei Yang, Ian Foster, Michael Papka, Zhengchun Liu, Rajkumar Kettimuthu, MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes, in Proceedings of the 15th ACM/SPEC International Conference on Perfmance Engineering (ICPE 2024), South Kensington, London, UK, May, 2024.

Ahsan Ali*, Xiaolong Ma*, Syed Zawada, Paarijaat Adityab, Istemi Ekin Akkusb, Ruichuan Chen, Lei Yang, Feng Yan, Enabling Scalable and Adaptive Machine Learning Training via Serverless Computing on Public Cloud, Performance Evaluation (*Equal Contribution and Co-First Authors)

Syed Zawad*, Xiaolong Ma*, Jun Yi*, Minjia Zhang, Cheng Li, Lei Yang, Feng Yan, Yuxiong He, FedCust: Offloading Hyperparameter Customization for Federated Learning, Performance Evaluation (*Equal Contribution and Co-First Authors)

Contact me

Email: mxlunr@gmail.com