International Conference on Architectural Support for Programming Languages and Operating Systems · 2021
Cited
35
Resume (English only)
Academic Achievements
Publications:
- Taurus accepted at CoNEXT 2025
- Hermod short paper accepted at SIGCOMM 2025
- MixNet accepted at SIGCOMM 2025
- Pallas accepted at ATC 2025
- Harmonia accepted at ASPLOS 2025
- A Generic and Efficient Communication Framework for Message-level In-Network Computing accepted at INFOCOM 2025
- Design and Operation of Shared Machine Learning Clusters on Campus accepted at ASPLOS 2025
- Achieving Fairness Generalizability for Learning-based Congestion Control with Jury accepted at EuroSys 2025
- Fast, Scalable, and Accurate Rate Limiter for RDMA NICs accepted at SIGCOMM 2024
- Astraea: Towards Fair and Efficient Learning-based Congestion Control accepted at EuroSys 2024
- Accelerating Neural Recommendation Training with Embedding Scheduling accepted at NSDI 2024
Research Experience
Working as a Network Engineer and Researcher at ByteDance, focusing on building next-generation AI networks.
Education
Received a Ph.D. in Computer Science and Engineering from the Hong Kong University of Science and Technology (HKUST) in 2025, supervised by Prof. Kai Chen; received a B.Eng in Computer Science from Huazhong University of Science and Technology (HUST) in 2018, supervised by Prof. Song Wu.
Background
Network Engineer and Researcher at ByteDance. Research interests include AI Network, Machine Learning System, Hardware Acceleration, and Datacenter Networking.