Bio. I am a senior researcher & engineer in the department of data platform, TEG, Tencent inc. I obtained my Ph.D. degree in Computer Science from Peking University in June 2022, advised by Prof. Bin Cui. And I spent one wonderful semester at ETH Zurich in 2019, working with Prof. Ce Zhang. I have published 20+ papers in the top database (SIGMOD, VLDB), data mining (KDD, WWW) and artificial intelligence (ICML, NeurIPS, AAAI) venues. Besides, I am the designer of several system projects, including OpenBox, MindWare and HyperTune. My research work is recognized by multiple prestigious awards, including the best student paper award at WWW 2022 and the doctoral dissertation award of ACM Beijing.
Research Interests. I have a special focus on building automatic machine learning systems to support machine learning and help facilitate data science. My research interests include (1) AI + Big Data: synergistic optimization between big data and artificial intelligence, (2) Black-box Optimization and its Application: automatic tuning, such as knobs tuning in database system, config tuning in big data system, resource optimization and experiment design, and (3) Automatic Machine Learning (AutoML): automatic hyperparameter optimization, adaptive model selection, pipeline search, and neural architecture search.
Email: liyang.cs@pku.edu.cn
Note: Feel free to contact me to discuss research problems or work together.
News
- We open sourced our generalized black-box optimization system at Github Repository.
Research Fields
- AutoML Algorithms, Systems and Applications
- Methods for Decision Making
- Black-box Optimization
- Reinforcement Learning
- Natural Language Processing and its Applications
Professional Services
- Reviewer: ICLR 2024
- Program Committee Member: SIGKDD 2022, 2023
- Reviewer: ICML 2022, 2024
- Program Committee Member: NeurIPS 2023
- Reviewer: Data Science and Engineering 2022
Awards
- ACM Beijing Doctoral Dissertation Award, 2023
- Best Student Paper Award of WWW 2022 (among 1822 submmisions, CCF-A), 2022
- Excellent Graduate of Peking University, 2022
- May Fourth Scholarship (Peking University), 2021
- Champion of ACM CIKM AnalyticCup, 2021
- Top Prize (special prize) in the innovation competition at CCF ChinaSoft, 2021
- Academic Excellence Award (Peking University), 2019
- National Scholarship (The Ministry of Education of the PRC), 2015
