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

TEACHING

Undergrad courses:

Python Programming for Artificial Intelligence Computational Economics Basics for Legal Data Analysis Computational Representation of Legal Rules First-Year Seminar Series: Computation and Economics Computational Thinking and Methods for Social Sciences

Graduate courses:

Game Theory and Computational Economics Practice and Analysis of Legal Data

PUBLICATIONS

2025

Public Signaling in Markets with Information Asymmetry Using a Limited Number of Signals

Xu Zhao, Ren Liu, Weiran Shen.

IJCAI-2025

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Stackelberg vs. Nash in the Lottery Colonel Blotto Game

Yan Liu, Bonan Ni, Weiran Shen, Zihe Wang, Jie Zhang.

IJCAI-2025

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Optimizing Revenue through User Coupon Recommendations in Truthful Online Ad Auctions

Xiaodong Liu, Yiming Ding, Xiao Lin, Changcheng Li, Peng Jiang, Weiran Shen

The 2025 ACM Web Conference

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Two-stage Auction Design in Online Advertising

Zhikang Fan, Lan Hu, Ruirui Wang, Zhongrui Ma, Yue Wang, Qi Ye, Weiran Shen

The 2025 ACM Web Conference

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Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions

Hongtao Liu, Luxi Chen, Yiming Ding, Changcheng Li, Han Li, Peng Jiang, Weiran Shen

The 18th ACM International Conference on Web Search and Data Mining

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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

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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)

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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

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Optimal Auction Design with User Coupons in Advertising Systems

Xiaodong Liu, Weiran Shen

IJCAI-2024

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A mechanism design approach for multi-party machine learning

Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang.

Theoretical Computer Science

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A Fast Algorithm for k Memory Messaging Scheme Design in Dynamic Environments with Uncertainty

Zhikang Fan, Weiran Shen.

ICAPS-2024

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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

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2023

Auto-bidding with Budget and ROI Constrained Buyers

Xiaodong Liu, Weiran Shen

IJCAI-2023

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Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities

Zhikang Fan, Weiran Shen

IJCAI-2023

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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

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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

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2022

Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality

Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu

NeurIPS-2022

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A Mechanism Design Approach for Multi-Party Machine Learning

Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang

IJTCS-FAW-2022

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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

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Coalitional Permutation Manipulations of the Gale-Shapley Algorithm.

Weiran Shen, Yuan Deng, Pingzhong Tang

Artificial Intelligence

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Optimal Pricing of Information

Shuze Liu, Weiran Shen, Haifeng Xu

EC'21

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Coupon Design in Advertising Systems

Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang

AAAI'21

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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

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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.

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Green Security Game with Community Engagement.

Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh and Fei Fang

AAMAS'20.

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Learning to Design Coupons in Online Advertising Market.

Weiran Shen, Xun Wang, Yadong Xu, XiwangYang and Pingzhong Tang

AAMAS'20.

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

Zihe Wang, Weiran Shen and Song Zuo

AAMAS'20.

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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.

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2019

Learning Optimal Strategies to Commit To.

Binghui Peng, Weiran Shen, Pingzhong Tang and Song Zuo

AAAI'19..

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Buyer Signaling Game in Auctions.

Weiran Shen, Pingzhong Tang and Yulong Zeng

AAMAS'19..

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Automated Mechanism Design via Neural Networks.

Weiran Shen, Pingzhong Tang and Song Zuo

AAMAS'19..

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Learning to Clear the Market.

Weiran Shen, Sébastien Lahaie and Renato PaesLeme

ICML'19..

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

Mengjing Chen, Weiran Shen, Pingzhong Tang and Song Zuo

IJCAI'19.

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2018

Coalition Manipulation of the Gale-Shapley Algorithm.

Yuan Deng, Weiran Shen, and Pingzhong Tang

AAAI'18.

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

Weiran Shen, Zihe Wang and Song Zuo

IJCAI-ECAI'18.

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Buyer-Optimal Distribution.

Weiran Shen, Pingzhong Tang and Yulong Zeng

AAMAS'18.

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Coalitional Permutation Manipulations of the Gale-Shapley Algorithm.

Yuan Deng, Weiran Shen and Pingzhong Tang

AAMAS'18.

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

Weiran Shen, Pingzhong Tang and Yulong Zeng

AAMAS'18..

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2017

Hotelling-Downs Model with Limited Attraction.

Weiran Shen, Zihe Wang

AAMAS'17.

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Practical versus Optimal Mechanisms.

Weiran Shen, Pingzhong Tang

AAMAS'17.

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SERVICES

Conference PC、SPC、AC:AAAI (2020-2025) IJCAI (2021-2025) ICML (2021-2025) NeurIPS (2020-2025) ICLR (2022) WINE (2023) AAMAS (2020-2025) ECAI (20202023) WWW (2025) WINE (2023-2025)

Journal Reviewing: AAMAS (2023) IEEE Intellegent Systems (2019) IEEE TAC (2019) IEEE TAI (2020) TKDE (2020) AIJ (20242025)

Executive Committee CCF Computational Economics Technical Committee (2022 - present).

Executive Committee CCF Theoretic Computer Science Technical Committee (2023 - present).

Council Game Theory Branch of Operations Research Society of China (2025 - present).

CONTACT

Email:shenweiran@ruc.edu.cn

Website: