FACULTY & RESEARCH

Weiran Shen
Tenure-track Assistant Professor
Weiran Shen obtained his Bachelor's degree from the Department of Electronic Engineering and his Ph.D. from IIIS, both at Tsinghua University. He was a post-doc researcher at Carnegie Mellon University from 2019 to 2020. His research interest includes multi-agent system, game theory, mechanism design, and machine learning. He published more than 10 papers in top-tier conferences during his Ph.D. He was a PC member and an SPC member of multiple international conferences including AAAI, IJCAI, AAMAS, NeurIPS. His research in mechanism design has already been adopted by online advertising platforms such as Baidu and ByteDance.

Personal Homepage： https://gsai.ruc.edu.cn/addons/teacher/index/info.html?user_id=21&ruccode=20200220&ln=en

Detailed Information


Employment

2020-present  Renmin University of China, Assistant Professor.

2019-2020 Carnegie Mellon University, Postdoc Associate.

Education

2014-2019 IIIS, Tsinghua University. Ph.D.

2010-2014 Department of Electronic Engineering, Tsinghua University. B.E.

Research interest

Multi-agent system, game theory, mechanism design, machine learning

Publications

1、When to Follow the Tip: Security Games with Strategic Informants.

Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh and Fei Fang. IJCAI'20.

2、Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions.

Zihe Wang, Weiran Shen and Song Zuo. AAMAS'20.

3、Learning to Design Coupons in Online Advertising Market.

Weiran Shen, Xun Wang, Yadong Xu, Xiwang Yang and Pingzhong Tang. AAMAS'20.

4、Green Security Game with Community Engagement.

Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh and Fei Fang. AAMAS'20.

5、Reinforcement Mechanism Design, with Applications to Dynamic Pricing in Sponsored Search Auctions.

Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu and Pingzhong Tang. AAAI'20.

6、Dispatching through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices.

Mengjing Chen, Weiran Shen, Pingzhong Tang and Song Zuo. IJCAI'19.

7、Learning to Clear the Market.

Weiran Shen, Sébastien Lahaie and Renato PaesLeme. ICML'19.

8、Automated Mechanism Design via Neural Networks.

Weiran Shen, Pingzhong Tang and Song Zuo. AAMAS'19.

9、Buyer Signaling Game in Auctions.

Weiran Shen, Pingzhong Tang and Yulong Zeng. AAMAS'19.

10、Learning Optimal Strategies to Commit To.

Binghui Peng, Weiran Shen, Pingzhong Tang and Song Zuo. AAAI'19.

11、A Closed-Form Characterization of Buyer Signaling Schemes in Monopoly Pricing.

Weiran Shen, Pingzhong Tang and Yulong Zeng. AAMAS'18.

12、Coalitional Permutation Manipulations of the Gale-Shapley Algorithm.

Yuan Deng, Weiran Shen and Pingzhong Tang. AAMAS'18.

13、Buyer-Optimal Distribution.

Weiran Shen, Pingzhong Tang and Yulong Zeng. AAMAS'18.

14、Ex-post IR Dynamic Ad Auctions with Cost-per-action Payments.

Weiran Shen, Zihe Wang and Song Zuo. IJCAI-ECAI'18.

15、Coalition Manipulation in Gale-Shapley Algorithm.

Yuan Deng, Weiran Shen, and Pingzhong Tang. AAAI'18.

16、Practical versus Optimal Mechanisms.

Weiran Shen, Pingzhong Tang. AAMAS'17.

17、Hotelling-Downs Model with Limited Attraction.

Weiran Shen, Zihe Wang. AAMAS'17.

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