| 2026 | AAAI | Decentralized Online Convex Optimization with Unknown Feedback Delays. | Hao Qiu, Mengxiao Zhang, Juliette Achddou |
| 2026 | COLT | Near-Optimal Regret for Distributed Adversarial Bandits: A Black-Box Approach. | Hao Qiu, Mengxiao Zhang, Nicol Cesa-Bianchi |
| 2026 | WWW | Multi-source Multi-level Multi-token Ethereum Dataset and Benchmark Platform. | Haoyuan Li, Mengxiao Zhang, Maoyuan Li, Jianzheng Li, Zijian Zhang, Junyi Yang, Shuangyan Deng, Jiamou Liu |
| 2025 | COLT | Alternating Regret for Online Convex Optimization. | Soumita Hait, Ping Li, Haipeng Luo, Mengxiao Zhang |
| 2025 | ICML | Exploiting Curvature in Online Convex Optimization with Delayed Feedback. | Hao Qiu, Emmanuel Esposito, Mengxiao Zhang |
| 2025 | ICML | Contextual Linear Bandits with Delay as Payoff. | Mengxiao Zhang, Yingfei Wang, Haipeng Luo |
| 2025 | ICSE | Toward a Better Understanding of Probabilistic Delta Debugging. | Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Xinru Cheng, Chengnian Sun |
| 2025 | ICSE | WDD: Weighted Delta Debugging. | Xintong Zhou, Zhenyang Xu, Mengxiao Zhang, Yongqiang Tian, Chengnian Sun |
| 2024 | AISTATS | Online Learning in Contextual Second-Price Pay-Per-Click Auctions. | Mengxiao Zhang, Haipeng Luo |
| 2024 | AusDM | PrivCQ: Trading Multi-dimensional Conditional Queries Under Personalised Local Differential Privacy. | Mengxiao Zhang, Weidong Li, Yiping Liu, Bakh Khoussainov, Jiamou Liu |
| 2024 | COLT | Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics. | Brendan Lucier, Sarath Pattathil, Aleksandrs Slivkins, Mengxiao Zhang |
| 2024 | ECAI | Meta-Mechanisms for Combinatorial Auctions over Social Networks. | Yuan Fang, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov |
| 2024 | ECAI | Balancing Efficiency with Equality: Auction Design with Group Fairness Concerns. | Fengjuan Jia, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov |
| 2024 | ICML | Efficient Contextual Bandits with Uninformed Feedback Graphs. | Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro |
| 2024 | ISSTA | LPR: Large Language Models-Aided Program Reduction. | Mengxiao Zhang, Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Shin Hwei Tan, Chengnian Sun |
| 2023 | AISTATS | No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution. | Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang |
| 2023 | ALT | Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. | Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang |
| 2023 | ECAI | Multi-Unit Auction over a Social Network. | Yuan Fang, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov, Mingyu Xiao |
| 2023 | ECAI | Integrated Private Data Trading Systems for Data Marketplaces. | Weidong Li, Mengxiao Zhang, Libo Zhang, Jiamou Liu |
| 2023 | IJCNN | MaD: A Dataset for Interview-based BPM in Business Process Management. | Xiaoxuan Li, Lin Ni, Renee Li, Jiamou Liu, Mengxiao Zhang |
| 2023 | UAI | Incentivising Diffusion while Preserving Differential Privacy. | Fengjuan Jia, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov |
| 2022 | COLT | Adaptive Bandit Convex Optimization with Heterogeneous Curvature. | Haipeng Luo, Mengxiao Zhang, Peng Zhao |
| 2022 | COLT | Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. | Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou |
| 2022 | ICML | No-Regret Learning in Time-Varying Zero-Sum Games. | Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou |
| 2021 | COLT | Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games. | Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo |
| 2021 | ICLR | Linear Last-iterate Convergence in Constrained Saddle-point Optimization. | Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo |
| 2021 | ICML | Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously. | Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang |
| 2020 | COLT | A Closer Look at Small-loss Bounds for Bandits with Graph Feedback. | Chung-Wei Lee, Haipeng Luo, Mengxiao Zhang |
| 2020 | UAI | Selling Data at an Auction under Privacy Constraints. | Mengxiao Zhang, Fernando Beltrn, Jiamou Liu |