Education

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

Work Experience

  • 2024-present Renmin University of China, Tenure-track Associate Professor.
  • 2020-2024 Renmin University of China, Tenure-track Assistant Professor.
  • 2019-2020 Carnegie Mellon University, Postdoc Associate.

RESEARCH INTERESTS

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

PUBLICATIONS

2024
LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops. ACM Transactions on Information Systems
Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen.
ACM Transactions on Information Systems
SRAP-agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent
Jiarui Ji, Yang Li, Hongtao Liu, Zhicheng Du, Zhewei Wei, Qi Qi, Weiran Shen, Yankai Lin.
EMNLP-2024 (Fingdings)
An Extensive Study of Security Games with Strategic Informants
Weiran Shen, Minbiao Han, Weizhe Chen, Taoan Huang, Rohit Singh, Haifeng Xu, Fei Fang
Artificial Intelligence
Optimal Auction Design with User Coupons in Advertising Systems
Xiaodong Liu, Weiran Shen
IJCAI-2024
A mechanism design approach for multi-party machine learning
Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang.
Theoretical Computer Science
A Fast Algorithm for k Memory Messaging Scheme Design in Dynamic Environments with Uncertainty
Zhikang Fan, Weiran Shen.
ICAPS-2024
Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms
Yadong Xu, Bonan Ni, Weiran Shen, Xun Wang, Zichen Wang, Yinsong Xue, Pingzhong Tang.
AAAI-2024
2023
Auto-bidding with Budget and ROI Constrained Buyers
Xiaodong Liu, Weiran Shen
IJCAI-2023
Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities
Zhikang Fan, Weiran Shen
IJCAI-2023
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models.
Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li
ICLR-2023
P-MMF Provider Max-min Fairness Re-ranking in Recommender System
Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang
WWW-2023
2022
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality
Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu
NeurIPS-2022
A Mechanism Design Approach for Multi-Party Machine Learning
Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
IJTCS-FAW-2022
2021
Optimal pricing policy design for selling cost-reducing innovation in Cournot games
Mengjing Chen, Haoqiang Huang, Weiran Shen, Pingzhong Tang, Zihe Wang, Jie Zhang
Theoretical Computer Science
Coalitional Permutation Manipulations of the Gale-Shapley Algorithm.
Weiran Shen, Yuan Deng, Pingzhong Tang
Artificial Intelligence
Optimal Pricing of Information
Shuze Liu, Weiran Shen, Haifeng Xu
EC'21
Coupon Design in Advertising Systems
Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang
AAAI'21
2020
Harnessing the Power of Deception in Attack Graph-Based Security Games
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.
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.
Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh and Fei Fang
AAMAS'20.
Learning to Design Coupons in Online Advertising Market.
Weiran Shen, Xun Wang, Yadong Xu, XiwangYang and Pingzhong Tang
AAMAS'20.
Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions.
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.
Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh and Fei Fang.
IJCAI'20.
2019
Learning Optimal Strategies to Commit To.
Binghui Peng, Weiran Shen, Pingzhong Tang and Song Zuo
AAAI'19..
Buyer Signaling Game in Auctions.
Weiran Shen, Pingzhong Tang and Yulong Zeng
AAMAS'19..
Automated Mechanism Design via Neural Networks.
Weiran Shen, Pingzhong Tang and Song Zuo
AAMAS'19..
Learning to Clear the Market.
Weiran Shen, Sébastien Lahaie and Renato PaesLeme
ICML'19..
Dispatching through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices.
Mengjing Chen, Weiran Shen, Pingzhong Tang and Song Zuo
IJCAI'19.
2018
Coalition Manipulation of the Gale-Shapley Algorithm.
Yuan Deng, Weiran Shen, and Pingzhong Tang
AAAI'18.
Ex-post IR Dynamic Ad Auctions with Cost-per-action Payments.
Weiran Shen, Zihe Wang and Song Zuo
IJCAI-ECAI'18.
Buyer-Optimal Distribution.
Weiran Shen, Pingzhong Tang and Yulong Zeng
AAMAS'18.
Coalitional Permutation Manipulations of the Gale-Shapley Algorithm.
Yuan Deng, Weiran Shen and Pingzhong Tang
AAMAS'18.
A Closed-Form Characterization of Buyer Signaling Schemes in Monopoly Pricing.
Weiran Shen, Pingzhong Tang and Yulong Zeng
AAMAS'18..
2017
Hotelling-Downs Model with Limited Attraction.
Weiran Shen, Zihe Wang
AAMAS'17.
Practical versus Optimal Mechanisms.
Weiran Shen, Pingzhong Tang
AAMAS'17.

Contact

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Email：shenweiran@ruc.edu.cn

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