About me

• I am a recent PhD graduate in Computer Science from Simon Fraser University, supervised by Prof. Jiannan Wang and Prof. Jian Pei.
• Interest: LLM Infrastructure Optimization. My two years of experience in large-scale inference systems include exploring failure recovery, disaggregation, and SLO-aware serving. Link to my CV.
• I obtained a master’s and a bachelor’s degree in Information Engineering at Zhejiang University, supervised by Prof. Yingming Li and Prof. Zhongfei (Mark) Zhang.

Projects

• PhD thesis: Explore how ML enhances the OR process and how OR enhances the ML lifecycle. slide, pdf
• Disaggregated Large Multimodal Model Serving: paper, poster, code

Publications

1. Wang, X. and Li, Y., 2020, October. Gradient Deconfliction-Based Training For Multi-Exit Architectures. In 2020 IEEE International Conference on Image Processing (ICIP) (pp. 1866-1870). IEEE. link.
2. Wang, X. and Li, Y., 2021. Harmonized Dense Knowledge Distillation Training for Multi-exit Architectures. In the AAAI Conference on Artificial Intelligence, 2021.