AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. - Weiping Song; Chence Shi; Zhiping Xiao 001; Zhijian Duan 001; Yewen Xu; Ming Zhang 004; Jian Tang 005 (CIKM, 2019)

Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning. - Weiping Song; Zhijian Duan 001; Ziqing Yang 002; Hao Zhu; Ming Zhang 004; Jian Tang 005 (CoRR, 2019)

Role-Wise Data Augmentation for Knowledge Distillation. - Jie Fu 001; Xue Geng; Zhijian Duan 001; Bohan Zhuang; Xingdi Yuan; Adam Trischler; Jie Lin 001; Chris Pal; Hao Dong 003 (CoRR, 2020)

Learning to Compute Approximate Nash Equilibrium for Normal-form Games. - Zhijian Duan 001; Yali Du 001; Jun Wang 012; Xiaotie Deng (CoRR, 2021)

Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity. - Yixu Gao; Kun Shao; Zhijian Duan 001; Zhongyu Wei; Dong Li 016; Bin Wang 034; Mengchen Zhao; Jianye Hao (DASFAA (3), 2022)

A Context-Integrated Transformer-Based Neural Network for Auction Design. - Zhijian Duan 001; Jingwu Tang; Yutong Yin; Zhe Feng 004; Xiang Yan; Manzil Zaheer; Xiaotie Deng (ICML, 2022)

Is Nash Equilibrium Approximator Learnable? - Zhijian Duan 001; Wenhan Huang; Dinghuai Zhang; Yali Du 001; Jun Wang 012; Yaodong Yang 001; Xiaotie Deng (AAMAS, 2023)

Are Equivariant Equilibrium Approximators Beneficial? - Zhijian Duan 001; Yunxuan Ma; Xiaotie Deng (ICML, 2023)

Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets. - Yurong Chen 002; Qian Wang 025; Zhijian Duan 001; Haoran Sun; Zhaohua Chen 001; Xiang Yan; Xiaotie Deng (ICML, 2023)

Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach. - Ningyuan Li 001; Yunxuan Ma; Yang Zhao 039; Zhijian Duan 001; Yurong Chen 002; Zhilin Zhang 003; Jian Xu 015; Bo Zheng 007; Xiaotie Deng (KDD, 2023)

A Scalable Neural Network for DSIC Affine Maximizer Auction Design. - Zhijian Duan 001; Haoran Sun; Yurong Chen 002; Xiaotie Deng (NeurIPS, 2023)

Scalable Virtual Valuations Combinatorial Auction Design by Combining Zeroth-Order and First-Order Optimization Method. - Zhijian Duan 001; Haoran Sun; Yichong Xia; Siqiang Wang; Zhilin Zhang 003; Chuan Yu; Jian Xu 015; Bo Zheng 007; Xiaotie Deng (CoRR, 2024)

A survey on algorithms for Nash equilibria in finite normal-form games. - Hanyu Li; Wenhan Huang; Zhijian Duan 001; David Henry Mguni; Kun Shao; Jun Wang 012; Xiaotie Deng (Comput. Sci. Rev., 2024)

Large-Scale Contextual Market Equilibrium Computation Through Deep Learning. - Yunxuan Ma; Yide Bian; Hao Xu; Weitao Yang; Jingshu Zhao; Zhijian Duan 001; Feng Wang 048; Xiaotie Deng (IJTCS-FAW, 2025)

An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising. - Zhijian Duan 001; Yusen Huo; Tianyu Wang; Zhilin Zhang 003; Yeshu Li; Chuan Yu; Jian Xu 015; Bo Zheng 007; Xiaotie Deng (KDD (1), 2025)

Learning Truthful Mechanisms without Discretization. - Yunxuan Ma; Siqiang Wang; Zhijian Duan 001; Yukun Cheng; Xiaotie Deng (CoRR, 2025)