Kexin Chen

I am a Ph.D. candidate at The Chinese University of Hong Kong, Shenzhen. My research spans game theory, information economics, and decision-making, with a particular interest in how AI reshapes human behavior and decision-making, and the broader design of human-AI systems. I also work on machine learning theory, particularly feature learning dynamics and generalization in neural networks.

I am currently seeking research positions and welcome conversations about shared research interests and potential collaborations.

Education

Aug 2021 - Dec 2026 (expected)

The Chinese University of Hong Kong, Shenzhen

Ph.D. Candidate in Computer and Information Engineering

GPA: 3.9/4.0
Sep 2017 - Jun 2021

Sichuan University

B.Eng. in Electronics and Information Engineering (Wu Yuzhang Honors College)

GPA: 3.9/4.0 · Rank: 1/151
Sep 2018 - Jul 2019

University of Electronic Science and Technology of China

Exchange Student in Electronic Science and Technology

GPA: 4.0/4.0 · Rank: 1/170

Selected Publications

Full publication list →

Does AI Help or Harm? Endogenous Information Acquisition with AI Advice
Kexin Chen, Tao Lin, and Jianwei Huang

22nd Conference on Web and Internet Economics (WINE 2026)
Digital Representatives in Collective Decision-Making
Kexin Chen, Jianwei Huang, and Yuan Luo

IEEE Transactions on Mobile Computing (IEEE TMC, 2026)
Decentralized Information Elicitation Without Verification
Kexin Chen, Chao Huang, and Jianwei Huang

IEEE Transactions on Networking (IEEE TON, 2026)
When Does Fine-Tuning Extract Stored Knowledge? A Relation-Covering Theory for One-Layer Transformers
Ruichen Xu and Kexin Chen

40th Annual Conference on Neural Information Processing Systems (NeurIPS 2026)
Rethinking Benign Overfitting in Two-Layer Neural Networks
Ruichen Xu and Kexin Chen

42nd International Conference on Machine Learning (ICML 2025)

Experience

Teaching AssistantCUHK-Shenzhen · 2021-2026

EIE/ECE2050 Digital Logic and Systems (Fall 2021; Spring 2023, 2024, 2025)
MAT1012 Calculus Extended II (Spring 2022)
MAT2040 Linear Algebra (Summer 2023; Fall 2024)
MAT1001 Calculus I (Fall 2023)
ECE3001 Signals and Systems (Fall 2025)
ECE4010 Machine Intelligence and Applications (Spring 2026)

ReviewerAAMAS, WINE, IEEE Journal on Selected Areas in Communications (JSAC)

Other Experience

Founding Social Media ManagerIEEE Transactions on Network Science and Engineering · 2022-2024

Residential TutorShaw College, CUHK-Shenzhen · 2022-Present

Selected Honors and Awards

Scholarships

2018National Scholarship (Top 2%)
2021-2026Postgraduate Scholarship, CUHK-Shenzhen
2021Wang Wen Guo Scholarship, Grand Prize, Sichuan University (5/541)
2018Ding Liang Scholarship, Sichuan University (4/344)
2018-2021Academic Scholarships, Sichuan University

Other Honors and Awards

2026Outstanding Graduate, Shaw College, CUHK-Shenzhen
2023Outstanding Tutor Award, Shaw College, CUHK-Shenzhen (6/44)
2021Outstanding Graduate, Sichuan University
2018-2021Outstanding Student, Sichuan University
2018First Prize, 10th National Undergraduate Mathematics Contest