Scholar
Minchen Yu
Google Scholar ID: Kz2aAHQAAAAJ
The Chinese University of Hong Kong, Shenzhen
Citations & Impact
Citations
733
H-index
7
i10-index
7
Publications
17
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers, including 'Efficient Data Passing for Serverless Inference Workflows: A GPU-Centric Approach' (EuroSys 2026), 'Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference' (USENIX ATC 2025), 'Torpor: GPU-Enabled Serverless Computing for Low-Latency, Resource-Efficient Inference' (USENIX ATC 2025), 'Pheromone: Restructuring Serverless Computing with Data-Centric Function Orchestration' (IEEE/ACM Transactions on Networking, 2024), 'Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing' (USENIX NSDI 2023), 'Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning' (IEEE ICDCS 2021, Best Paper Runner Up). Awarded CCF-Huawei Populus Grove Fund.
Research Experience
- Assistant Professor at School of Data Science, The Chinese University of Hong Kong, Shenzhen. Published multiple papers in top conferences and journals, and served as a program committee member for several international conferences.
Education
- PhD from Hong Kong University of Science and Technology, advised by Prof. Wei Wang; B.Eng. in Software Engineering from Nanjing University.
Background
- Research interests cover the broad area of cloud computing and distributed systems, with a special focus on serverless computing, big data, and machine learning systems. Current research projects include: scalable ML and LLM inference systems, intelligent cluster management on heterogeneous resources, usable and efficient serverless computing platforms.
Miscellany
- Useful Links: GitHub.
