About Me
I am currently working in the WeLM team at Tencent, where I am advancing systems for LLM training, inference, and reinforcement learning. I received my Ph.D. from Tsinghua University in 2026, supervised by Prof. Youyou Lu and Prof. Jiwu Shu.
My research focuses on system optimizations for LLMs, particularly on infrastructure scaling, resource efficiency, and full-stack co-design. If you are interested in democratizing access to state-of-the-art AI for billions of users and conducting cutting-edge research, join us.
Education
Education:
- Ph.D. in Computer Science, Tsinghua University, 2021–2026
- Summer School, University of California, Berkeley, Summer 2019
- B.S. in Software Engineering, Nanjing University, 2017–2021
Publications
2026
- [FAST'26]GPU Checkpoint/Restore Made Fast and Lightweight
The 24th USENIX Conference on File and Storage Technologies, 2026 (Distinguished Artifact Award) - [ACM ToS'26]Speeding Up Write-Read Orders in Disaggregated Storage
ACM Transactions on Storage, 2026 - [ICML'26]WeDLM: Reconciling Diffusion Language Models with Standard Causal Attention for Fast Inference
International Conference on Machine Learning, 2026 (Oral)
2025
- [ASPLOS'25]Medusa: Accelerating Serverless LLM Inference with Materialization
The 30th Conference on Architectural Support for Programming Languages and Operating Systems, 2025 - [USENIX ATC'25]Weaver: Efficient Multi-LLM Serving with Attention Offloading
USENIX Annual Technical Conference, 2025 - [ASPLOS'25]Frugal: Efficient and Economic Embedding Model Training with Commodity GPUs
The 30th Conference on Architectural Support for Programming Languages and Operating Systems, 2025
2024
- [EuroSys'24]Volley: Accelerating Write-Read Orders in Disaggregated Storage
The 19th European Conference on Computer Systems, 2024 - [CCCF]面向高速硬件的高性能文件系统
中国计算机学会通讯, 2024
2023
- [USENIX ATC'23]SingularFS: A Billion-Scale Distributed File System Using a Single Metadata Server
USENIX Annual Technical Conference, 2023
Honors Awarded
- FAST'26 Distinguished Artifact Award, 2026.
- No.1 in the ASPLOS / EuroSys 2025 Contest of LLM inference optimization, 2025.
- Student Travel Grant for ASPLOS'25/EuroSys'25, 2025.
- No.1 in the IO500 Research Overall Score (SuperFS), ISC'23/SC'23/ISC'24/SC'24/ISC'25/SC'25, 2023-2025.