Coalition manipulations of the Gale-Shapley algorithm. - Yuan Deng; Weiran Shen; Pingzhong Tang (CoRR, 2015)

Practical versus Optimal Mechanisms. - Weiran Shen; Pingzhong Tang (AAMAS, 2017)

Hotelling-Downs Model with Limited Attraction. - Weiran Shen; Zihe Wang 001 (AAMAS, 2017)

Optimal Vehicle Dispatching Schemes via Dynamic Pricing. - Mengjing Chen; Weiran Shen; Pingzhong Tang; Song Zuo (CoRR, 2017)

Coalition Manipulation of Gale-Shapley Algorithm. - Weiran Shen; Pingzhong Tang; Yuan Deng (AAAI, 2018)

Buyer-Optimal Distribution. - Weiran Shen; Pingzhong Tang; Yulong Zeng (AAMAS, 2018)

A Closed-Form Characterization of Buyer Signaling Schemes in Monopoly Pricing. - Weiran Shen; Pingzhong Tang; Yulong Zeng (AAMAS, 2018)

Ex-post IR Dynamic Auctions with Cost-per-Action Payments. - Weiran Shen; Zihe Wang 001; Song Zuo (IJCAI, 2018)

Optimal Vehicle Dispatching for Ride-sharing Platforms via Dynamic Pricing. - Mengjing Chen; Weiran Shen; Pingzhong Tang; Song Zuo (WWW (Companion Volume), 2018)

Computer-aided mechanism design: designing revenue-optimal mechanisms via neural networks. - Weiran Shen; Pingzhong Tang; Song Zuo (CoRR, 2018)

Learning Optimal Strategies to Commit To. - Binghui Peng; Weiran Shen; Pingzhong Tang; Song Zuo (AAAI, 2019)

Automated Mechanism Design via Neural Networks. - Weiran Shen; Pingzhong Tang; Song Zuo (AAMAS, 2019)

Buyer Signaling Games in Auctions. - Weiran Shen; Pingzhong Tang; Yulong Zeng (AAMAS, 2019)

Learning to Clear the Market. - Weiran Shen; Sébastien Lahaie; Renato Paes Leme (ICML, 2019)

Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices. - Mengjing Chen; Weiran Shen; Pingzhong Tang; Song Zuo (IJCAI, 2019)

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; Pingzhong Tang (AAAI, 2020)

Green Security Game with Community Engagement. - Taoan Huang; Weiran Shen; David Zeng; Tianyu Gu; Rohit Singh; Fei Fang 001 (AAMAS, 2020)

Learning to Design Coupons in Online Advertising Markets. - Weiran Shen; Pingzhong Tang; Xun Wang; Yadong Xu; Xiwang Yang (AAMAS, 2020)

Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions. - Zihe Wang 001; Weiran Shen; Song Zuo (AAMAS, 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 A. Kamhoua; Fei Fang 001 (GameSec, 2020)

When to Follow the Tip: Security Games with Strategic Informants. - Weiran Shen; Weizhe Chen 001; Taoan Huang; Rohit Singh; Fei Fang 001 (IJCAI, 2020)

Mechanism Design for Multi-Party Machine Learning. - Mengjing Chen; Yang Liu 165; Weiran Shen; Yiheng Shen 001; Pingzhong Tang; Qiang Yang 001 (CoRR, 2020)

Coupon Design in Advertising Systems. - Weiran Shen; Pingzhong Tang; Xun Wang; Yadong Xu; Xiwang Yang (AAAI, 2021)

Optimal Pricing of Information. - Shuze Liu; Weiran Shen; Haifeng Xu (EC, 2021)

Coalitional permutation manipulations in the Gale-Shapley algorithm. - Weiran Shen; Yuan Deng; Pingzhong Tang (Artif. Intell., 2021)

Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. - Jibang Wu; Weiran Shen; Fei Fang 001; Haifeng Xu (NeurIPS, 2022)

Optimal pricing policy design for selling cost-reducing innovation in Cournot games. - Mengjing Chen; Haoqiang Huang; Weiran Shen; Pingzhong Tang; Zihe Wang 001; Jie Zhang 008 (Theor. Comput. Sci., 2022)

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)

Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities. - Zhikang Fan 001; Weiran Shen (IJCAI, 2023)

Auto-bidding with Budget and ROI Constrained Buyers. - Xiaodong Liu; Weiran Shen (IJCAI, 2023)

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. - Chen Xu 010; Sirui Chen; Jun Xu 001; Weiran Shen; Xiao Zhang 034; Gang Wang 056; Zhenhua Dong (WWW, 2023)

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. - Xu Chen 017; Sirui Chen; Jun Xu 001; Weiran Shen; Xiao Zhang 034; Gang Wang 056; Zhenghua Dong (CoRR, 2023)

Sequential Persuasion Using Limited Experiments. - Bonan Ni; Weiran Shen; Pingzhong Tang (CoRR, 2023)

LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops. - Chen Xu 010; Xiaopeng Ye; Jun Xu 001; Xiao Zhang 034; Weiran Shen; Ji-Rong Wen (CoRR, 2023)

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)

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 (Findings), 2024)

A Fast Algorithm for k-Memory Messaging Scheme Design in Dynamic Environments with Uncertainty. - Zhikang Fan 001; Weiran Shen (ICAPS, 2024)

Optimal Auction Design with User Coupons in Advertising Systems. - Xiaodong Liu; Zhikang Fan 001; Yiming Ding; Yuan Guo; Lihua Zhang; Changcheng Li; Dongying Kong; Han Li; Weiran Shen (IJCAI, 2024)

An extensive study of security games with strategic informants. - Weiran Shen; Minbiao Han; Weizhe Chen 001; Taoan Huang; Rohit Singh; Haifeng Xu; Fei Fang 001 (Artif. Intell., 2024)

Multiplayer General Lotto game. - Bonan Ni; Yan Liu; Weiran Shen; Zihe Wang (CoRR, 2024)

IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History. - Yi Xu 003; Weiran Shen; Xiao Zhang 034; Jun Xu 001 (CoRR, 2024)

AAVDiff: Experimental Validation of Enhanced Viability and Diversity in Recombinant Adeno-Associated Virus (AAV) Capsids through Diffusion Generation. - Lijun Liu; Jiali Yang; Jianfei Song; Xinglin Yang; Lele Niu; Zeqi Cai; Hui Shi; Tingjun Hou; Chang-Yu Hsieh; Weiran Shen; Yafeng Deng (CoRR, 2024)

Stackelberg vs. Nash in the Lottery Colonel Blotto Game. - Yan Liu; Bonan Ni; Weiran Shen; Zihe Wang; Jie Zhang (CoRR, 2024)

Optimal Mediation Mechanisms in Bilateral Trade. - Zhikang Fan 001; Weiran Shen (CoRR, 2024)

Selling an Item through Persuasion. - Zhikang Fan 001; Weiran Shen (CoRR, 2024)

Optimal Fixed-Price Mechanism with Signaling. - Zhikang Fan 001; Weiran Shen (CoRR, 2024)

A mechanism design approach for multi-party machine learning. - Mengjing Chen; Yang Liu 165; Weiran Shen; Yiheng Shen 001; Pingzhong Tang; Qiang Yang 001 (Theor. Comput. Sci., 2024)

AI-Driven Mechanism Design - Weiran Shen; Pingzhong Tang; Song Zuo (Springer, 2024)

Optimal Hiring Strategy in Auction-Based Crowdsourcing Systems. - Hongtao Liu; Weiran Shen; Yiheng Shen 001 (IJTCS-FAW, 2025)

Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions. - Hongtao Liu; Luxi Chen; Yiming Ding; Changcheng Li; Han Li 005; Peng Jiang 002; Weiran Shen (WSDM, 2025)

Two-stage Auction Design in Online Advertising. - Zhikang Fan 001; Lan Hu; Ruirui Wang; Zhongrui Ma; Yue Wang 086; Qi Ye; Weiran Shen (WWW, 2025)

Optimizing Revenue through User Coupon Recommendations in Truthful Online Ad Auctions. - Xiaodong Liu; Xiao Lin 002; Yiming Ding; Changcheng Li; Peng Jiang 002; Weiran Shen (WWW, 2025)

LTP-MMF: Toward Long-Term Provider Max-Min Fairness under Recommendation Feedback Loops. - Chen Xu 010; Xiaopeng Ye; Jun Xu 001; Xiao Zhang 034; Weiran Shen; Ji-Rong Wen (ACM Trans. Inf. Syst., 2025)

CHBench: A Cognitive Hierarchy Benchmark for Evaluating Strategic Reasoning Capability of LLMs. - Hongtao Liu; Zhicheng Du; Zihe Wang; Weiran Shen (CoRR, 2025)