01 / PROFILE
AI + DFOI am a PhD student in Applied Mathematics at The Hong Kong Polytechnic University, working on AI4Science and AI4Industry.
With mathematical optimization as my foundation, I build and evaluate AI systems for scientific and industrial problems.
Applied mathematics
The Hong Kong Polytechnic University
Hong Kong
02
DFO
theory and randomness
Derivative-free optimization
I study derivative-free methods, direct search, and randomized algorithms, with an emphasis on how their convergence behavior depends on the assumptions behind them.
View papers03 / BRIDGE
From understanding how algorithms behave, to building systems that improve them.
04
AI
scientific and industrial systems
AI for Science / AI for Industry
I work on agent workflows, benchmark/evaluator design, and algorithmic evolution for scientific computing and industrial optimization. Four tasks I contributed to were accepted into Terminal-Bench Science v0.1.
Read the note05 / BACKGROUND
Education
- 2022–present, PhD student in Applied Optimization and Optimal Control, Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
- Supervised by Prof. Zaikun Zhang and Prof. Xiaojun Chen.
- Funded by the Research Grants Committee (RGC) of Hong Kong under the Hong Kong PhD Fellowship Scheme (HKPFS).
- 2018–2022, BSc in Information and Computing Science (Computational Mathematics), School of Mathematics, Jilin University, Changchun, China.