Weiran Shen

Assistant Professor

Gaoling School of Artificial Intelligence
Renmin University of China

Address:
59 Zhongguancun St.
Haidian District
Beijing, China

Email:
shenweiran AT ruc DOT edu DOT cn

About me

I am an assistant professor at Gaoling School of Artificial Intelligence, Renmin University of China. I was a post doctoral researcher at ISR, Carnegie Mellon University, working with Fei Fang. I obtained my Ph.D. at IIIS, Tsinghua University, advised by Pingzhong Tang, and my B.E. at Department of Electronic Engineering, Tsinghua University.

My research interest lies in the interface of economics and computation, especially auction and mechanism design, game theory, multi-agent systems and machine learning.

Publications

[PDF] A Fast Algorithm for k Memory Messaging Scheme Design in Dynamic Environments with Uncertainty. ICAPS-2024

Zhikang Fan, Weiran Shen.
[PDF] Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms. AAAI-2024

Yadong Xu, Bonan Ni, Weiran Shen, Xun Wang, Zichen Wang, Yinsong Xue, Pingzhong Tang.
[PDF] Auto-bidding with Budget and ROI Constrained Buyers. IJCAI-2023

Xiaodong Liu, Weiran Shen.
[PDF] Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities. IJCAI-2023

Zhikang Fan, Weiran Shen.
[PDF] Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models. ICLR-2023

Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li.
[PDF] P-MMF Provider Max-min Fairness Re-ranking in Recommender System. WWW-2023

Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong.
[PDF] Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. NeurIPS-2022

Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu.
[PDF] A Mechanism Design Approach for Multi-Party Machine Learning. IJTCS-FAW-2022

Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang.
[PDF] Optimal pricing policy design for selling cost-reducing innovation in Cournot games. Theoretical Computer Science (TCS)

Mengjing Chen, Haoqiang Huang, Weiran Shen, Pingzhong Tang, Zihe Wang, Jie Zhang.
[PDF] [AIJ version] Coalitional permutation manipulations in the Gale-Shapley algorithm. Artificial Intelligence (AIJ)
- Subsumes the AAMAS conference version.
Weiran Shen, Yuan Deng, Pingzhong Tang.
[arXiv version] Optimal Pricing of Information. EC-2021

Shuze Liu, Weiran Shen, Haifeng Xu.
[PDF] Coupon Design in Advertising Systems. AAAI-2021

Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang.
[PDF] Harnessing the Power of Deception in Attack Graph-Based Security Games. GameSec-2020

Stephanie Milani, Weiran Shen, Kevin S. Chan, Sridhar Venkatesan, Nandi O. Leslie, Charles Kamhoua and Fei Fang.
[PDF] When to Follow the Tip: Security Games with Strategic Informants. IJCAI-2020

Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh and Fei Fang.
[PDF] Green Security Game with Community Engagement. AAMAS-2020

Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh and Fei Fang.
[PDF] Learning to Design Coupons in Online Advertising Markets. AAMAS-2020

Weiran Shen, Xun Wang, Yadong Xu, Xiwang Yang and Pingzhong Tang.
[PDF] Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions. AAMAS-2020

Zihe Wang, Weiran Shen and Song Zuo.
[PDF] Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions. AAAI-2020

Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu and Pingzhong Tang.
[PDF] Dispatching through pricing: modeling ride-sharing and designing dynamic prices. IJCAI-2019

Mengjing Chen, Weiran Shen, Pingzhong Tang and Song Zuo.
[PDF] Learning to clear the market. ICML-2019

Weiran Shen, Sébastien Lahaie and Renato Paes Leme.
[PDF] [arXiv version] Automated mechanism design via neural networks. AAMAS-2019

Weiran Shen, Pingzhong Tang and Song Zuo.
[PDF] Buyer signaling games in auctions. AAMAS-2019

Weiran Shen, Pingzhong Tang and Yulong Zeng.
[PDF] Learning optimal strategies to commit to. AAAI-2019

Binghui Peng, Weiran Shen, Pingzhong Tang and Song Zuo.
[PDF] Ex-post IR dynamic auctions with cost-per-action payments. IJCAI-2018

Weiran Shen, Zihe Wang and Song Zuo.
[PDF] Coalitional permutation manipulations in the Gale-Shapley algorithm. AAMAS-2018

Yuan Deng, Weiran Shen and Pingzhong Tang.
[PDF] A closed-form characterization of buyer signaling schemes in monopoly pricing. AAMAS-2018

Weiran Shen, Pingzhong Tang and Yulong Zeng.
[PDF] Buyer-optimal distribution. AAMAS-2018

Weiran Shen, Pingzhong Tang and Yulong Zeng.
[PDF] Coalition manipulation of Gale-Shapley algorithm. AAAI-2018

Yuan Deng, Weiran Shen and Pingzhong Tang.
[PDF] Practical versus optimal mechanisms. AAMAS-2017

Weiran Shen, Pingzhong Tang.
[PDF] Hotelling-Downs model with limited attraction. AAMAS-2017

Weiran Shen, Zihe Wang.