Weiran Shen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Topics

Simultaneous Optimization

Sponsored Search Auctions

Top Venues

Publications

Yadong Xu, Bonan Ni, Weiran Shen, Xun Wang, Zichen Wang, Yinsong Xue, Pingzhong Tang
Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms. AAAI (2024)
Weiran Shen, Minbiao Han, Weizhe Chen, Taoan Huang, Rohit Singh, Haifeng Xu, Fei Fang
An extensive study of security games with strategic informants. Artif. Intell. 334 (2024)
Lijun Liu, Jiali Yang, Jianfei Song, Xinglin Yang, Lele Niu, Zeqi Cai, Hui Shi, Tingjun Hou, Chang-Yu Hsieh, Weiran Shen, Yafeng Deng
AAVDiff: Experimental Validation of Enhanced Viability and Diversity in Recombinant Adeno-Associated Virus (AAV) Capsids through Diffusion Generation. CoRR (2024)
Zhikang Fan, Weiran Shen
A Fast Algorithm for k-Memory Messaging Scheme Design in Dynamic Environments with Uncertainty. ICAPS (2024)
Bonan Ni, Yan Liu, Weiran Shen, Zihe Wang
Multiplayer General Lotto game. CoRR (2024)
Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
A mechanism design approach for multi-party machine learning. Theor. Comput. Sci. 1003 (2024)
Yi Xu, Weiran Shen, Xiao Zhang, Jun Xu
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History. CoRR (2024)
Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen
LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops. CoRR (2023)
Xu Chen, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenghua Dong
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. CoRR (2023)
Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models. ICLR (2023)
Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. WWW (2023)
Zhikang Fan, Weiran Shen
Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities. AAMAS (2023)
Bonan Ni, Weiran Shen, Pingzhong Tang
Sequential Persuasion Using Limited Experiments. CoRR (2023)
Xiaodong Liu, Weiran Shen
Auto-bidding with Budget and ROI Constrained Buyers. IJCAI (2023)
Zhikang Fan, Weiran Shen
Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities. IJCAI (2023)
Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models. CoRR (2022)
Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. CoRR (2022)
Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. NeurIPS (2022)
Mengjing Chen, Haoqiang Huang, Weiran Shen, Pingzhong Tang, Zihe Wang, Jie Zhang
Optimal pricing policy design for selling cost-reducing innovation in Cournot games. Theor. Comput. Sci. 901 (2022)
Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
A Mechanism Design Approach for Multi-party Machine Learning. FAW (2022)
Shuze Liu, Weiran Shen, Haifeng Xu
Optimal Pricing of Information. EC (2021)
Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang
Coupon Design in Advertising Systems. AAAI (2021)
Shuze Liu, Weiran Shen, Haifeng Xu
Optimal Pricing of Information. CoRR (2021)
Weiran Shen, Yuan Deng, Pingzhong Tang
Coalitional permutation manipulations in the Gale-Shapley algorithm. Artif. Intell. 301 (2021)
Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang
When to Follow the Tip: Security Games with Strategic Informants. IJCAI (2020)
Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh, Fei Fang
Green Security Game with Community Engagement. CoRR (2020)
Stephanie Milani, Weiran Shen, Kevin S. Chan, Sridhar Venkatesan, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang
Harnessing the Power of Deception in Attack Graph-Based Security Games. GameSec (2020)
Zihe Wang, Weiran Shen, Song Zuo
Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions. AAMAS (2020)
Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
Mechanism Design for Multi-Party Machine Learning. CoRR (2020)
Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh, Fei Fang
Green Security Game with Community Engagement. AAMAS (2020)
Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang
Learning to Design Coupons in Online Advertising Markets. AAMAS (2020)
Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang
Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions. AAAI (2020)
Weiran Shen, Sébastien Lahaie, Renato Paes Leme
Learning to Clear the Market. CoRR (2019)
Weiran Shen, Sébastien Lahaie, Renato Paes Leme
Learning to Clear the Market. ICML (2019)
Binghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo
Learning Optimal Strategies to Commit To. AAAI (2019)
Weiran Shen, Pingzhong Tang, Song Zuo
Automated Mechanism Design via Neural Networks. AAMAS (2019)
Weiran Shen, Zihe Wang, Song Zuo
Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions. CoRR (2019)
Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo
Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices. IJCAI (2019)
Weiran Shen, Pingzhong Tang, Yulong Zeng
Buyer Signaling Games in Auctions. AAMAS (2019)
Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo
Optimal Vehicle Dispatching for Ride-sharing Platforms via Dynamic Pricing. WWW (Companion Volume) (2018)
Weiran Shen, Pingzhong Tang, Yulong Zeng
A Closed-Form Characterization of Buyer Signaling Schemes in Monopoly Pricing. AAMAS (2018)
Weiran Shen, Zihe Wang, Song Zuo
Ex-post IR Dynamic Auctions with Cost-per-action Payments. AAMAS (2018)
Weiran Shen, Zihe Wang, Song Zuo
Ex-post IR Dynamic Auctions with Cost-per-Action Payments. IJCAI (2018)
Weiran Shen, Pingzhong Tang, Yuan Deng
Coalition Manipulation of Gale-Shapley Algorithm. AAAI (2018)
Weiran Shen, Pingzhong Tang, Song Zuo
Computer-aided mechanism design: designing revenue-optimal mechanisms via neural networks. CoRR (2018)
Weiran Shen, Pingzhong Tang, Yulong Zeng
Buyer-Optimal Distribution. AAMAS (2018)
Yuan Deng, Weiran Shen, Pingzhong Tang
Coalitional Permutation Manipulations in the Gale-Shapley Algorithm. AAMAS (2018)
Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang
Reinforcement Mechanism Design, with Applications to Dynamic Pricing in Sponsored Search Auctions. CoRR (2017)
Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo
Optimal Vehicle Dispatching Schemes via Dynamic Pricing. CoRR (2017)
Weiran Shen, Zihe Wang
Hotelling-Downs Model with Limited Attraction. AAMAS (2017)
Weiran Shen, Pingzhong Tang
Practical versus Optimal Mechanisms. AAMAS (2017)
Weiran Shen, Zihe Wang
Hotelling-Downs Model with Limited Attraction. CoRR (2016)
Yuan Deng, Weiran Shen, Pingzhong Tang
Coalition manipulations of the Gale-Shapley algorithm. CoRR (2015)