I am a Ph.D. student at the University of Maryland, College Park, advised by Prof. Alan (Zaoxing) Liu. Before joining UMD, I worked full-time as an AI Framework Engineer at Intel. I received my B.E. from Northeastern University (CN), advised by Prof. Fuliang Li.

I am interested in interdisciplinary research at the intersection of Networking Systems and Machine Learning Systems.

Publications

• Reliable and Resilient Collective Communication Library for LLM Training and Serving
  Wei Wang, Nengneg Yu, Sixian Xiong, Zaoxing Liu.
  arXiv preprint arXiv:2512.25059. Paper

• AutoSketch: Automatic Sketch-Oriented compiler for query-driven network telemetry
  Haifeng Sun, Qun Huang, Jinbo Sun, Wei Wang, Jiaheng Li, Fuliang Li, Yungang Bao, et al. 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24). Paper

• TalentSketch: LSTM-based sketch for adaptive and high-precision network measurement
  Yangsheng Yan, Fuliang Li, Wei Wang, Xingwei Wang.
  30th International Conference on Network Protocols (ICNP 22). Paper

Honors & Awards

• ACM-ICPC: Gold Medal, 30th/500 (Asia-wide), 2019
• CCPC: Silver Medal, 29th/250 (nation-wide), 2019
• ACM-ICPC (International Collegiate Programming Contest): Bronze Medal, 2018
• CCPC (China Collegiate Programming Contest): Bronze Medal, 2018
• Dean’s Fellowship, University of Maryland (2024)
• Distinguished Computer Engineering Fellowship, Boston University (2023)

Industry Experience

• AI Framework Engineer, Intel (July 2022 - July 2023)
  Optimized TensorFlow on Intel hardware to approach peak performance through graph-level optimizations.