Zhijian Duan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Nash Equilibria

Reinforcement Learning

Top Venues

Publications

Hanyu Li, Wenhan Huang, Zhijian Duan, David Henry Mguni, Kun Shao, Jun Wang, Xiaotie Deng
A survey on algorithms for Nash equilibria in finite normal-form games. Comput. Sci. Rev. 51 (2024)
Yunxuan Ma, Yide Bian, Hao Xu, Weitao Yang, Jingshu Zhao, Zhijian Duan, Feng Wang, Xiaotie Deng
Large-Scale Contextual Market Equilibrium Computation through Deep Learning. CoRR (2024)
Zhijian Duan, Haoran Sun, Yichong Xia, Siqiang Wang, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng
Scalable Virtual Valuations Combinatorial Auction Design by Combining Zeroth-Order and First-Order Optimization Method. CoRR (2024)
Yurong Chen, Qian Wang, Zhijian Duan, Haoran Sun, Zhaohua Chen, Xiang Yan, Xiaotie Deng
Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets. CoRR (2023)
Yurong Chen, Qian Wang, Zhijian Duan, Haoran Sun, Zhaohua Chen, Xiang Yan, Xiaotie Deng
Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets. ICML (2023)
Ningyuan Li, Yunxuan Ma, Yang Zhao, Zhijian Duan, Yurong Chen, Zhilin Zhang, Jian Xu, Bo Zheng, Xiaotie Deng
Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach. KDD (2023)
Zhijian Duan, Haoran Sun, Yurong Chen, Xiaotie Deng
A Scalable Neural Network for DSIC Affine Maximizer Auction Design. CoRR (2023)
Zhijian Duan, Wenhan Huang, Dinghuai Zhang, Yali Du, Jun Wang, Yaodong Yang, Xiaotie Deng
Is Nash Equilibrium Approximator Learnable? AAMAS (2023)
Zhijian Duan, Yunxuan Ma, Xiaotie Deng
Are Equivariant Equilibrium Approximators Beneficial? ICML (2023)
Zhijian Duan, Yunxuan Ma, Xiaotie Deng
Are Equivariant Equilibrium Approximators Beneficial? CoRR (2023)
Zhijian Duan, Haoran Sun, Yurong Chen, Xiaotie Deng
A Scalable Neural Network for DSIC Affine Maximizer Auction Design. NeurIPS (2023)
Hanyu Li, Wenhan Huang, Zhijian Duan, David Henry Mguni, Kun Shao, Jun Wang, Xiaotie Deng
A survey on algorithms for Nash equilibria in finite normal-form games. CoRR (2023)
Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng
A Context-Integrated Transformer-Based Neural Network for Auction Design. ICML (2022)
Yixu Gao, Kun Shao, Zhijian Duan, Zhongyu Wei, Dong Li, Bin Wang, Mengchen Zhao, Jianye Hao
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity. DASFAA (3) (2022)
Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng
A Context-Integrated Transformer-Based Neural Network for Auction Design. CoRR (2022)
Zhijian Duan, Yali Du, Jun Wang, Xiaotie Deng
Learning to Compute Approximate Nash Equilibrium for Normal-form Games. CoRR (2021)
Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong
Role-Wise Data Augmentation for Knowledge Distillation. CoRR (2020)
Weiping Song, Zhijian Duan, Ziqing Yang, Hao Zhu, Ming Zhang, Jian Tang
Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning. CoRR (2019)
Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. CIKM (2019)
Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. CoRR (2018)