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教育经历
2014-2019 清华大学交叉信息研究院，博士
2010-2014 清华大学电子工程系，学士
工作经历
2024-现在 中国人民大学，准聘副教授
2020-2024 中国人民大学，准聘助理教授
2019-2020 卡内基梅隆大学，博士后研究员
研究方向
多智能体系统、博弈论、机制设计、机器学习
教授课程
人工智能与Python程序设计，新生研讨课：计算与经济，博弈论与计算经济学，法律数据分析基础
科研项目
部分科研项目：
2022 - 2024 不完全信息博弈中的信息交流与策略学习 国家自然科学基金青年科学基金项目 主持
2022 - 2026 网络拍卖与匹配市场设计 国家自然科学基金重大项目 参与
2023 - 2026 面向图学习的分布式原生图存储与计算方法研究 国家自然科学基金联合基金项目 参与
2022 - 2024 不确定环境下的贝叶斯劝说模型及学习方法 中国人民大学新教师启动项目 主持
企业合作：主持多项企业委托项目，与华为、快手、字节跳动等企业均有合作关系
学术论文
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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社会兼职
会议PC&SPC：AAAI (2020-2024), IJCAI (2021-2023), ICML (2021-2023), NeurIPS (2020-2023), ICLR (2022), WINE (2023), AAMAS (2020-2023)
CCF计算经济学专业组执行委员
CCF理论计算机科学专委执行委员
联系
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邮箱：shenweiran@ruc.edu.cn
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