CV
Education
- Ph.D in Computer Science and Engineering, Nanyang Technological University, Aug. 2023 - Present
- M.S. in Computational Mathematics, Beijing Normal University, Sep. 2021 - Jun. 2023 (Early Graduation with Honor)
- B.S. in Mathematics and Applied Mathematics, Beijing Normal University, Sep. 2016 - Jul.2020
- Summer Scholar in Math and Economics, Duke University, Jul. 2018 – Aug. 2018
- Exchange Student in Mathematics, Rutgers University, Jan. 2019 – May. 2019
Work experience
- Jun. 2019 – Sep. 2019: Data Analyst Intern
- LiCaiMoFang, Beijing KouDaiCaiFu In-Tech. Co. Ltd.
- Duties includes:
- Analyzed time series of user purchase behavior and visualization;
- Predicted price index trend in stock market using multi-dimensional macro-economic data under the framework of ‘xgboost’ (a supervised learning algorithm);
- Implemented macro-economic index model to compute risk-premium return;
- Implemented multi-factor model using ‘Fama-Macbeth Regression’ to compute risk-premium return;
- Supervisor: Yongan Ma
- Aug. 2020 – Jan. 2021: Research Assistant
- ISCAS – Institute of Software Chinese Academy of Sciences
- Duties included:
- Deployed state-of-art fuzzing tools like Vuzzer, Memlock, AFL and analyzed their performance;
- Run large-scale fuzzing jobs on some open-source softwares like base64, uniq, asn1c, etc and submit possible vulnerability report to NVD;
- Designed and implemented large-scale knowledge graph model Vulgraph, using state-of-art graph database Neo4j and logistic regression model to make prediction;
- Designed and implemented an automated fuzzing platform Autofuzz, including front-end page design, data-flow model and Restful API design;
- Acquired Two Software Patents for Autofuzz project;
- Supervisor: Jingzheng Wu
- Feb. 2021 – Sep. 2021: Software Development Engineer
- Baidu Inc.
- Duties included:
- Large-scale (a few Terabytes) log pipeline modeling using Hadoop;
- Backend development support for vertical search project Aladdin;
- Building coupon recommendation system for impending service center in Baidu App;
- Supervisor: Aowei Li
Skills
- Environments/Tools: Linux, Git, Docker, Vim, SSH
- Programming languages: C/C++, Python, SQL, bash, Java, tcl, PHP
- Databases: MySQL, PostgreSQL, sqlite3, Neo4j, MongoDB, Redis
- Frontend: HTML/CSS/Javascript, Node.js, React
- Languages: Mandarin (native), English (TOFEL 108, GRE 325 + 4.0), Spanish
- Hobbies: badminton, basketball, swimming
Publications
Talks
SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation
Talk at Universitat Pompeu Fabra, Barcelona, Spain, Universitat Pompeu Fabra, Barcelona, Spain
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
Talk at New York, NY, USA, New York, NY, USA
Teaching
Service and leadership
- Reviewers for UAI 2024, UAI 2025, UAI 2026, AISTATS 2026