沈蔚然

沈蔚然

沈蔚然,中國人民大學高瓴人工智慧學院準聘助理教授。本科畢業於清華大學電子工程系,2019年於清華大學交叉信息研究院獲博士學位,2019年至2020年於卡內基梅隆大學擔任博士後研究員。主要研究方向為多智慧型體系統、博弈論、機制設計和機器學習,在相關領域國際會議發表高水平論文二十餘篇。擔任AAAI、IJCAI、ICML、NeurIPS、AAMAS等多個國際會議的程式委員會及高級程式委員會委員。在機制設計方面的研究成果已在百度、頭條等網際網路平台落地實現。

基本介紹

  • 中文名:沈蔚然
  • 畢業院校清華大學
  • 學位/學歷:博士
  • 職業:教師
  • 專業方向:多智慧型體系統、博弈論、機制設計和機器學習 
  • 職稱:助理教授
教育經歷,工作經歷,研究方向,教授課程,學術論文,2023,2022,2021,2020,2019,2018,2017,

教育經歷

工作經歷

研究方向

多智慧型體系統、博弈論、機制設計、機器學習

教授課程

  • 人工智慧與Python程式設計,新生研討課:計算與經濟,博弈論與計算經濟學,法律數據分析基礎

學術論文

2023

Auto-bidding with Budget and ROI Constrained Buyers
Xiaodong Liu, Weiran Shen
IJCAI-2023
Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities
Zhikang Fan, Weiran Shen
IJCAI-2023
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
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

2022

Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality
Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu
NeurIPS-2022
A Mechanism Design Approach for Multi-Party Machine Learning
Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
IJTCS-FAW-2022

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
Coalitional Permutation Manipulations of the Gale-Shapley Algorithm.
Weiran Shen, Yuan Deng, Pingzhong Tang
Artificial Intelligence
Optimal Pricing of Information
Shuze Liu, Weiran Shen, Haifeng Xu
EC'21
Coupon Design in Advertising Systems
Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang
AAAI'21

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
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.
Green Security Game with Community Engagement.
Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh and Fei Fang
AAMAS'20.
Learning to Design Coupons in Online Advertising Market.
Weiran Shen, Xun Wang, Yadong Xu, XiwangYang and Pingzhong Tang
AAMAS'20.
Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions.
Zihe Wang, Weiran Shen and Song Zuo
AAMAS'20.
網際網路廣告機制設計的若干前沿問題
唐平中,王子賀,沈蔚然,曾馭龍,倪博楠
中國計算機學會通訊
When to Follow the Tip: Security Games with Strategic Informants.
Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh and Fei Fang.
IJCAI'20.

2019

Learning Optimal Strategies to Commit To.
Binghui Peng, Weiran Shen, Pingzhong Tang and Song Zuo
AAAI'19..
Buyer Signaling Game in Auctions.
Weiran Shen, Pingzhong Tang and Yulong Zeng
AAMAS'19..
Automated Mechanism Design via Neural Networks.
Weiran Shen, Pingzhong Tang and Song Zuo
AAMAS'19..
Learning to Clear the Market.
Weiran Shen, Sébastien Lahaie and Renato PaesLeme
ICML'19..
Dispatching through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices.
Mengjing Chen, Weiran Shen, Pingzhong Tang and Song Zuo
IJCAI'19.

2018

Coalition Manipulation of the Gale-Shapley Algorithm.
Yuan Deng, Weiran Shen, and Pingzhong Tang
AAAI'18.
Ex-post IR Dynamic Ad Auctions with Cost-per-action Payments.
Weiran Shen, Zihe Wang and Song Zuo
IJCAI-ECAI'18.
Buyer-Optimal Distribution.
Weiran Shen, Pingzhong Tang and Yulong Zeng
AAMAS'18.
Coalitional Permutation Manipulations of the Gale-Shapley Algorithm.
Yuan Deng, Weiran Shen and Pingzhong Tang
AAMAS'18.
A Closed-Form Characterization of Buyer Signaling Schemes in Monopoly Pricing.
Weiran Shen, Pingzhong Tang and Yulong Zeng
AAMAS'18.

2017

Hotelling-Downs Model with Limited Attraction.
Weiran Shen, Zihe Wang
AAMAS'17.
Practical versus Optimal Mechanisms.
Weiran Shen, Pingzhong Tang
AAMAS'17.

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