- Paper 'BootSeer: Analyzing and Mitigating Initialization Bottlenecks in Large-Scale LLM Training' released on arXiv.
- Paper 'HotSwap: Enabling Live Dependency Sharing in Serverless Computing' accepted at IEEE CLOUD 2025.
- Paper 'Automated Intelligent Healing for Cloud-Scale Data Centers' presented at the 40th International Symposium on Reliable Distributed Systems (SRDS) 2021.
- Paper 'EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification' published in IEEE Transactions on Dependable and Secure Computing 2021.
Research Experience
- Research Intern at Bytedance Seed, focusing on training infrastructure optimization for large-scale AI systems.
- Algorithm Engineer II at Alibaba Cloud.
- Intern at Tencent WeChat.
Education
- PhD Candidate in Computer Science at Northeastern University, advised by Prof. Gene Cooperman and Prof. Devesh Tiwari.
- M.S. in Computer Science from Tsinghua University, advised by Prof. Shu-Tao Xia and Prof. Xi Xiao.
- B.Eng. in Computer Science from Nankai University.
Background
Research Interests: ML for Systems and Systems for AI. Field: Computer Science. Brief Introduction: Started with ML for systems, then shifted to systems research, applying insights back to ML systems.