Deng, Xiaotie

24 publications

NeurIPS 2025 Mechanism Design for LLM Fine-Tuning with Multiple Reward Models Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng

IJCAI 2025 Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach Jichen Li, Lijia Xie, Hanting Huang, Bo Zhou, Binfeng Song, Wanying Zeng, Xiaotie Deng, Xiao Zhang

AAAI 2024 Competition Among Pairwise Lottery Contests Xiaotie Deng, Hangxin Gan, Ningyuan Li, Weian Li, Qi Qi

NeurIPS 2024 Contextual Decision-Making with Knapsacks Beyond the Worst Case Zhaohua Chen, Rui Ai, Mingwei Yang, Yuqi Pan, Chang Wang, Xiaotie Deng

AAAI 2024 Dynamic Budget Throttling in Repeated Second-Price Auctions Zhaohua Chen, Chang Wang, Qian Wang, Yuqi Pan, Zhuming Shi, Zheng Cai, Yukun Ren, Zhihua Zhu, Xiaotie Deng

ICMLW 2024 Hummer: Towards Limited Competitive Preference Dataset Li Jiang, Yusen Wu, Junwu Xiong, Jingqing Ruan, Yichuan Ding, Qingpei Guo, Zujie Wen, Jun Zhou, Xiaotie Deng

ICMLW 2024 Hummer: Towards Limited Competitive Preference Dataset Li Jiang, Yusen Wu, Junwu Xiong, Jingqing Ruan, Qingpei Guo, Zujie Wen, Jun Zhou, Xiaotie Deng

ICLR 2024 Learning Thresholds with Latent Values and Censored Feedback Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng

NeurIPSW 2024 Mechanism Design for LLM Fine-Tuning with Multiple Reward Models Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng

NeurIPS 2023 A Scalable Neural Network for DSIC Affine Maximizer Auction Design Zhijian Duan, Haoran Sun, Yurong Chen, Xiaotie Deng

ICML 2023 Are Equivariant Equilibrium Approximators Beneficial? Zhijian Duan, Yunxuan Ma, Xiaotie Deng

ICML 2023 Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets Yurong Chen, Qian Wang, Zhijian Duan, Haoran Sun, Zhaohua Chen, Xiang Yan, Xiaotie Deng

AAAI 2023 From Monopoly to Competition: Optimal Contests Prevail Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling

ICML 2023 Learning to Bid in Repeated First-Price Auctions with Budgets Qian Wang, Zongjun Yang, Xiaotie Deng, Yuqing Kong

AAAI 2023 Truthful Mechanisms for Steiner Tree Problems Jinshan Zhang, Zhengyang Liu, Xiaotie Deng, Jianwei Yin

ICML 2022 A Context-Integrated Transformer-Based Neural Network for Auction Design Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng

NeurIPS 2022 Multiagent Q-Learning with Sub-Team Coordination Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng

IJCAI 2022 On the Convergence of Fictitious Play: A Decomposition Approach Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang

AAAI 2021 On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-Player Games Zhengyang Liu, Jiawei Li, Xiaotie Deng

NeurIPS 2020 A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling Xiaotie Deng, Ron Lavi, Tao Lin, Qi Qi, Wenwei Wang, Xiang Yan

AAAI 2019 Latent Dirichlet Allocation for Internet Price War Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong

AAAI 2016 Incentives for Strategic Behavior in Fisher Market Games Ning Chen, Xiaotie Deng, Bo Tang, Hongyang Zhang

IJCAI 2016 Truthfulness of a Proportional Sharing Mechanism in Resource Exchange Yukun Cheng, Xiaotie Deng, Qi Qi, Xiang Yan

AAAI 2014 The Fisher Market Game: Equilibrium and Welfare Simina Brânzei, Yiling Chen, Xiaotie Deng, Aris Filos-Ratsikas, Søren Kristoffer Stiil Frederiksen, Jie Zhang