Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation. - Jibang Wu; Renqin Cai; Hongning Wang (WWW, 2020)

Least Square Calibration for Peer Reviews. - Sijun Tan; Jibang Wu; Xiaohui Bei; Haifeng Xu (NeurIPS, 2021)

Category-aware Collaborative Sequential Recommendation. - Renqin Cai; Jibang Wu; Aidan San; Chong Wang; Hongning Wang (SIGIR, 2021)

Auctioning with Strategically Reticent Bidders. - Jibang Wu; Ashwinkumar Badanidiyuru; Haifeng Xu (CoRR, 2021)

Least Square Calibration for Peer Review. - Sijun Tan; Jibang Wu; Xiaohui Bei; Haifeng Xu (CoRR, 2021)

Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms. - Jibang Wu; Haifeng Xu; Fan Yao (COLT, 2022)

Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. - Jibang Wu; Weiran Shen; Fei Fang 001; Haifeng Xu (NeurIPS, 2022)

Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning. - Jibang Wu; Zixuan Zhang; Zhe Feng 004; Zhaoran Wang 001; Zhuoran Yang; Michael I. Jordan; Haifeng Xu (EC, 2022)

Optimal Coordination in Generalized Principal-Agent Problems: A Revisit and Extensions. - Jiarui Gan; Minbiao Han; Jibang Wu; Haifeng Xu (CoRR, 2022)

Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model. - Siyu Chen 001; Jibang Wu; Yifan Wu; Zhuoran Yang (ICML, 2023)

Robust Stackelberg Equilibria. - Jiarui Gan; Minbiao Han; Jibang Wu; Haifeng Xu (EC, 2023)

An Isotonic Mechanism for Overlapping Ownership. - Jibang Wu; Haifeng Xu; Yifan Guo; Weijie Su 001 (CoRR, 2023)

Contractual Reinforcement Learning: Pulling Arms with Invisible Hands. - Jibang Wu; Siyu Chen 001; Mengdi Wang; Huazheng Wang; Haifeng Xu (CoRR, 2024)

Grounded Persuasive Language Generation for Automated Marketing. - Jibang Wu; Chenghao Yang 001; Simon Mahns; Chaoqi Wang; Hao Zhu; Fei Fang 001; Haifeng Xu (CoRR, 2025)