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Weiran Shen
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2020 – today
- 2024
- [j4]Weiran Shen
, Minbiao Han, Weizhe Chen
An extensive study of security games with strategic informants. Artif. Intell. 334: 104162 (2024) - [j3]Mengjing Chen, Yang Liu, Weiran Shen
A mechanism design approach for multi-party machine learning. Theor. Comput. Sci. 1003: 114618 (2024) - [c33]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: 9935-9943 - [c32]Jiarui Ji, Yang Li, Hongtao Liu, Zhicheng Du, Zhewei Wei, Qi Qi, Weiran Shen, Yankai Lin:
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent. EMNLP (Findings) 2024: 267-293 - [c31]Zhikang Fan, Weiran Shen:
A Fast Algorithm for k-Memory Messaging Scheme Design in Dynamic Environments with Uncertainty. ICAPS 2024: 187-195 - [c30]Xiaodong Liu, Zhikang Fan, Yiming Ding, Yuan Guo, Lihua Zhang, Changcheng Li, Dongying Kong, Han Li, Weiran Shen:
Optimal Auction Design with User Coupons in Advertising Systems. IJCAI 2024: 2904-2912 - [i22]Bonan Ni, Yan Liu, Weiran Shen, Zihe Wang:
Multiplayer General Lotto game. CoRR abs/2401.14613 (2024) - [i21]Yi Xu, Weiran Shen, Xiao Zhang, Jun Xu:
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History. CoRR abs/2403.16075 (2024) - [i20]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 abs/2404.10573 (2024) - [i19]Yan Liu, Bonan Ni, Weiran Shen, Zihe Wang, Jie Zhang:
Stackelberg vs. Nash in the Lottery Colonel Blotto Game. CoRR abs/2410.07690 (2024) - [i18]Zhikang Fan, Weiran Shen:
Optimal Mediation Mechanisms in Bilateral Trade. CoRR abs/2410.11683 (2024) - [i17]Jiarui Ji, Yang Li, Hongtao Liu, Zhicheng Du, Zhewei Wei, Weiran Shen, Qi Qi, Yankai Lin:
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent. CoRR abs/2410.14152 (2024) - [i16]Zhikang Fan, Weiran Shen:
Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities. CoRR abs/2410.20891 (2024) - 2023
- [c29]Zhikang Fan, Weiran Shen:
Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities. AAMAS 2023: 2922-2924 - [c28]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 - [c27]Zhikang Fan, Weiran Shen:
Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities. IJCAI 2023: 2693-2700 - [c26]Xiaodong Liu, Weiran Shen:
Auto-bidding with Budget and ROI Constrained Buyers. IJCAI 2023: 2817-2825 - [c25]Chen Xu
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. WWW 2023: 3701-3711 - [i15]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 abs/2303.06660 (2023) - [i14]Bonan Ni, Weiran Shen, Pingzhong Tang:
Sequential Persuasion Using Limited Experiments. CoRR abs/2303.10619 (2023) - [i13]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 abs/2308.05902 (2023) - 2022
- [j2]Mengjing Chen, Haoqiang Huang, Weiran Shen
Optimal pricing policy design for selling cost-reducing innovation in Cournot games. Theor. Comput. Sci. 901: 62-86 (2022) - [c24]Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang:
A Mechanism Design Approach for Multi-party Machine Learning. FAW 2022: 248-268 - [c23]Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu:
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. NeurIPS 2022 - [i12]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 abs/2208.14133 (2022) - [i11]Jibang Wu, Weiran Shen, Fei Fang
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. CoRR abs/2210.01380 (2022) - 2021
- [j1]Weiran Shen
Coalitional permutation manipulations in the Gale-Shapley algorithm. Artif. Intell. 301: 103577 (2021) - [c22]Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang:
Coupon Design in Advertising Systems. AAAI 2021: 5717-5725 - [c21]Shuze Liu, Weiran Shen, Haifeng Xu:
Optimal Pricing of Information. EC 2021: 693 - [i10]Shuze Liu, Weiran Shen, Haifeng Xu:
Optimal Pricing of Information. CoRR abs/2102.13289 (2021) - 2020
- [c20]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: 2236-2243 - [c19]Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh, Fei Fang:
Green Security Game with Community Engagement. AAMAS 2020: 529-537 - [c18]Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang:
Learning to Design Coupons in Online Advertising Markets. AAMAS 2020: 1242-1250 - [c17]Zihe Wang, Weiran Shen, Song Zuo:
Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions. AAMAS 2020: 1458-1466 - [c16]Stephanie Milani
Harnessing the Power of Deception in Attack Graph-Based Security Games. GameSec 2020: 147-167 - [c15]Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang:
When to Follow the Tip: Security Games with Strategic Informants. IJCAI 2020: 371-377 - [i9]Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang:
Mechanism Design for Multi-Party Machine Learning. CoRR abs/2001.08996 (2020) - [i8]Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh, Fei Fang:
Green Security Game with Community Engagement. CoRR abs/2002.09126 (2020)
2010 – 2019
- 2019
- [c14]Binghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo:
Learning Optimal Strategies to Commit To. AAAI 2019: 2149-2156 - [c13]Weiran Shen, Pingzhong Tang, Song Zuo:
Automated Mechanism Design via Neural Networks. AAMAS 2019: 215-223 - [c12]Weiran Shen, Pingzhong Tang, Yulong Zeng:
Buyer Signaling Games in Auctions. AAMAS 2019: 1591-1599 - [c11]Weiran Shen, Sébastien Lahaie, Renato Paes Leme:
Learning to Clear the Market. ICML 2019: 5710-5718 - [c10]Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo:
Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices. IJCAI 2019: 165-171 - [i7]Weiran Shen, Sébastien Lahaie, Renato Paes Leme:
Learning to Clear the Market. CoRR abs/1906.01184 (2019) - [i6]Weiran Shen, Zihe Wang, Song Zuo:
Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions. CoRR abs/1906.09403 (2019) - 2018
- [c9]Weiran Shen, Pingzhong Tang, Yuan Deng:
Coalition Manipulation of Gale-Shapley Algorithm. AAAI 2018: 1210-1217 - [c8]Yuan Deng, Weiran Shen, Pingzhong Tang:
Coalitional Permutation Manipulations in the Gale-Shapley Algorithm. AAMAS 2018: 928-936 - [c7]Weiran Shen, Pingzhong Tang, Yulong Zeng:
Buyer-Optimal Distribution. AAMAS 2018: 1513-1521 - [c6]Weiran Shen, Pingzhong Tang, Yulong Zeng:
A Closed-Form Characterization of Buyer Signaling Schemes in Monopoly Pricing. AAMAS 2018: 1531-1539 - [c5]Weiran Shen, Zihe Wang, Song Zuo:
Ex-post IR Dynamic Auctions with Cost-per-action Payments. AAMAS 2018: 2076-2078 - [c4]Weiran Shen, Zihe Wang, Song Zuo:
Ex-post IR Dynamic Auctions with Cost-per-Action Payments. IJCAI 2018: 505-511 - [c3]Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo:
Optimal Vehicle Dispatching for Ride-sharing Platforms via Dynamic Pricing. WWW (Companion Volume) 2018: 51-52 - [i5]Weiran Shen, Pingzhong Tang, Song Zuo:
Computer-aided mechanism design: designing revenue-optimal mechanisms via neural networks. CoRR abs/1805.03382 (2018) - 2017
- [c2]Weiran Shen, Pingzhong Tang:
Practical versus Optimal Mechanisms. AAMAS 2017: 78-86 - [c1]Weiran Shen, Zihe Wang:
Hotelling-Downs Model with Limited Attraction. AAMAS 2017: 660-668 - [i4]Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo:
Optimal Vehicle Dispatching Schemes via Dynamic Pricing. CoRR abs/1707.01625 (2017) - [i3]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 abs/1711.10279 (2017) - 2016
- [i2]Weiran Shen, Zihe Wang:
Hotelling-Downs Model with Limited Attraction. CoRR abs/1611.05959 (2016) - 2015
- [i1]Yuan Deng, Weiran Shen, Pingzhong Tang:
Coalition manipulations of the Gale-Shapley algorithm. CoRR abs/1502.07823 (2015)
Coauthor Index
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last updated on 2024-12-01 01:15 CET by the dblp team
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