Zhijian Duan

According to our database, Zhijian Duan authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Learning Truthful Mechanisms without Discretization.

Yunxuan Ma, Siqiang Wang, Zhijian Duan, Yukun Cheng, Xiaotie Deng

CoRR, June, 2025

An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising.

Zhijian Duan, Yusen Huo, Tianyu Wang, Zhilin Zhang, Yeshu Li, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Large-Scale Contextual Market Equilibrium Computation Through Deep Learning.

Yunxuan Ma, Yide Bian, Hao Xu, Weitao Yang, Jingshu Zhao, Zhijian Duan, Feng Wang, Xiaotie Deng

Proceedings of the Frontiers of Algorithmics - 19th International Joint Conference, 2025

2024

A survey on algorithms for Nash equilibria in finite normal-form games.

Hanyu Li, Wenhan Huang, Zhijian Duan, David Henry Mguni, Kun Shao, Jun Wang, Xiaotie Deng

Comput. Sci. Rev., 2024

Scalable Virtual Valuations Combinatorial Auction Design by Combining Zeroth-Order and First-Order Optimization Method.

Zhijian Duan, Haoran Sun, Yichong Xia, Siqiang Wang, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng

CoRR, 2024

2023

A Scalable Neural Network for DSIC Affine Maximizer Auction Design.

Zhijian Duan, Haoran Sun, Yurong Chen, Xiaotie Deng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach.

Ningyuan Li, Yunxuan Ma, Yang Zhao, Zhijian Duan, Yurong Chen, Zhilin Zhang, Jian Xu, Bo Zheng, Xiaotie Deng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the International Conference on Machine Learning, 2023

Are Equivariant Equilibrium Approximators Beneficial?

Zhijian Duan, Yunxuan Ma, Xiaotie Deng

Proceedings of the International Conference on Machine Learning, 2023

Is Nash Equilibrium Approximator Learnable?

Zhijian Duan, Wenhan Huang, Dinghuai Zhang, Yali Du, Jun Wang, Yaodong Yang, Xiaotie Deng

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

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

Proceedings of the International Conference on Machine Learning, 2022

Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity.

Yixu Gao, Kun Shao, Zhijian Duan, Zhongyu Wei, Dong Li, Bin Wang, Mengchen Zhao, Jianye Hao

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Learning to Compute Approximate Nash Equilibrium for Normal-form Games.

Zhijian Duan, Yali Du, Jun Wang, Xiaotie Deng

CoRR, 2021

2020

Role-Wise Data Augmentation for Knowledge Distillation.

Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong

CoRR, 2020

2019

Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning.

Weiping Song, Zhijian Duan, Ziqing Yang, Hao Zhu, Ming Zhang, Jian Tang

CoRR, 2019

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks.

Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019