林涛
助理教授
计算机科学博士，哈佛大学（2020-2025）
计算机科学与技术学士，北京大学（2016-2020）
林涛现任香港中文大学（深圳）数据科学学院助理教授。他2025 年获哈佛大学计算机科学博士学位，2020 年获北京大学学士学位。加入 CUHK-Shenzhen 之前，他曾于微软研究院从事博士后研究（2025–2026年）。
林涛的研究横跨经济学、机器学习与理论计算机科学，聚焦于面向学习型决策者的机制设计和信息设计，应用领域包括广告拍卖与推荐系统等。他的研究成果发表在顶级计算机科学会议和经济学期刊上。与字节跳动、谷歌、微软的产业合作为其研究提供了实践视角。他曾获 2025 年 Siebel 学者奖。
A. Representative Conference Publications
1. “Generalized Principal-Agent Problem with a Learning Agent”, International Conference on Learning Representations (ICLR), 2025 (with Yiling Chen).
2. “Information Design with Unknown Prior”, Proceedings of Innovations in Theoretical Computer Science (ITCS), 2025 (with Ce Li).
3. “Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions”, Proceedings of the ACM Web Conference (WWW), 2022 (with Xiaotie Deng, Xinyan Hu, Weiqiang Zheng).
4. “User-Creator Feature Polarization in Recommender Systems with Dual Influence”, Advances in Neural Information Processing Systems (NeurIPS), 2024 (with Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu).
5. “Multi-Sender Persuasion: A Computational Perspective”, International Conference on Machine Learning (ICML), 2024 (with Safwan Hossain, Tonghan Wang, Yiling Chen, David C. Parkes, Haifeng Xu).
6. “Sample Complexity of Forecast Aggregation”, Advances in Neural Information Processing Systems (NeurIPS), 2023 (with Yiling Chen).
7. “Learning Utilities and Equilibria in Non-Truthful Auctions”, Advances in Neural Information Processing Systems (NeurIPS), 2020 (with Hu Fu).
B. Representative Journal Publications
1. “From monopoly to competition: When do optimal contests prevail?”, Games and Economic Behavior, 2025 (with Xiaotie Deng, Yotam Gafni, Ron Lavi, and Hongyi Ling).
