Education

  • 2014-2019 IIIS, Tsinghua University. Ph.D.
  • 2010-2014 Department of Electronic Engineering, Tsinghua University. B.E.

Work Experience

  • 2020-present Renmin University of China, Assistant Professor.
  • 2019-2020 Carnegie Mellon University, Postdoc Associate.

RESEARCH INTERESTS

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

Publications

2021
Coalitional Permutation Manipulations of the Gale-Shapley Algorithm.
Weiran Shen, Yuan Deng, Pingzhong Tang
Artificial Intelligence

Optimal Pricing of Information (Download )
Shuze Liu, Weiran Shen, Haifeng Xu
EC'21

Coupon Design in Advertising Systems (Download )
Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang
AAAI'21

2020
Harnessing the Power of Deception in Attack Graph-Based Security Games (Download )
Stephanie Milani, Weiran Shen, Kevin S. Chan, Sridhar Venkatesan, Nandi O. Leslie, Charles Kamhoua and Fei Fang
GameSec'20

Reinforcement Mechanism Design, with Applications to Dynamic Pricing in Sponsored Search Auctions. (Download )
Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu and Pingzhong Tang
AAAI'20.

Green Security Game with Community Engagement. (Download )
Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh and Fei Fang
AAMAS'20.

Learning to Design Coupons in Online Advertising Market. (Download )
Weiran Shen, Xun Wang, Yadong Xu, XiwangYang and Pingzhong Tang
AAMAS'20.

Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions. (Download )
Zihe Wang, Weiran Shen and Song Zuo
AAMAS'20.

互联网广告机制设计的若干前沿问题
唐平中,王子贺,沈蔚然,曾驭龙,倪博楠
中国计算机学会通讯

When to Follow the Tip: Security Games with Strategic Informants. (Download )
Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh and Fei Fang.
IJCAI'20.

2019
Learning Optimal Strategies to Commit To. (Download )
Binghui Peng, Weiran Shen, Pingzhong Tang and Song Zuo
AAAI'19..

Buyer Signaling Game in Auctions. (Download )
Weiran Shen, Pingzhong Tang and Yulong Zeng
AAMAS'19..

Automated Mechanism Design via Neural Networks. (Download )
Weiran Shen, Pingzhong Tang and Song Zuo
AAMAS'19..

Learning to Clear the Market. (Download )
Weiran Shen, Sébastien Lahaie and Renato PaesLeme
ICML'19..

Dispatching through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices. (Download )
Mengjing Chen, Weiran Shen, Pingzhong Tang and Song Zuo
IJCAI'19.

2018
Coalition Manipulation of the Gale-Shapley Algorithm. (Download )
Yuan Deng, Weiran Shen, and Pingzhong Tang
AAAI'18.

Ex-post IR Dynamic Ad Auctions with Cost-per-action Payments. (Download )
Weiran Shen, Zihe Wang and Song Zuo
IJCAI-ECAI'18.

Buyer-Optimal Distribution. (Download )
Weiran Shen, Pingzhong Tang and Yulong Zeng
AAMAS'18.

Coalitional Permutation Manipulations of the Gale-Shapley Algorithm. (Download )
Yuan Deng, Weiran Shen and Pingzhong Tang
AAMAS'18.

A Closed-Form Characterization of Buyer Signaling Schemes in Monopoly Pricing. (Download )
Weiran Shen, Pingzhong Tang and Yulong Zeng
AAMAS'18..

2017
Hotelling-Downs Model with Limited Attraction. (Download )
Weiran Shen, Zihe Wang
AAMAS'17.

Practical versus Optimal Mechanisms. (Download )
Weiran Shen, Pingzhong Tang
AAMAS'17.

Contact

Tel:

Email:shenweiran@ruc.edu.cn

Website:

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