| 2025 | ICLR | No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models. | Changlong Wu, Ananth Grama, Wojciech Szpankowski |
| 2025 | ISIT | Online Learning with Nasty Experts. | Nikolaos Papagiannis, Wojciech Szpankowski, Changlong Wu |
| 2024 | AISTATS | Online Distribution Learning with Local Privacy Constraints. | Jin Sima, Changlong Wu, Olgica Milenkovic, Wojciech Szpankowski |
| 2024 | COLT | Oracle-Efficient Hybrid Online Learning with Unknown Distribution. | Changlong Wu, Jin Sima, Wojciech Szpankowski |
| 2024 | ICML | A Theory of Fault-Tolerant Learning. | Changlong Wu, Yifan Wang, Ananth Grama |
| 2024 | ISIT | Minimax Regret with Unbounded Weights. | Michael Drmota, Philippe Jacquet, Changlong Wu, Wojciech Szpankowski |
| 2023 | COLT | Online Learning in Dynamically Changing Environments. | Changlong Wu, Ananth Grama, Wojciech Szpankowski |
| 2023 | ICML | Learning Functional Distributions with Private Labels. | Changlong Wu, Yifan Wang, Ananth Grama, Wojciech Szpankowski |
| 2023 | ISSRE | Identifying Root-Cause Changes for User-Reported Incidents in Online Service Systems. | Yujin Zhao, Ling Jiang, Ye Tao, Songlin Zhang, Changlong Wu, Tong Jia, Xiaosong Huang, Ying Li, Zhonghai Wu |
| 2023 | ISSRE | How to Manage Change-Induced Incidents? Lessons from the Study of Incident Life Cycle. | Yujin Zhao, Ling Jiang, Ye Tao, Songlin Zhang, Changlong Wu, Yifan Wu, Tong Jia, Ying Li, Zhonghai Wu |
| 2022 | ISIT | Sequential vs. Fixed Design Regrets in Online Learning. | Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski |
| 2021 | AISTATS | Prediction with Finitely many Errors Almost Surely. | Changlong Wu, Narayana Santhanam |
| 2021 | ALT | Non-uniform Consistency of Online Learning with Random Sampling. | Changlong Wu, Narayana Santhanam |
| 2021 | ISIT | Estimating Properties of Dynamic Graphical Models. | Changlong Wu, Narayana Santhanam |
| 2020 | CISS | Almost Uniform Sampling From Neural Networks. | Changlong Wu, Narayana Prasad Santhanam |
| 2020 | ISIT | Entropy property testing with finitely many errors. | Changlong Wu, Narayana Santhanam |
| 2019 | ISIT | Being correct eventually almost surely. | Changlong Wu, Narayana Santhanam |
| 2018 | ICASSP | Greedy Algorithm with Approximation Ratio for Sampling Noisy Graph Signals. | Changlong Wu, Wenxin Chen, June Zhang |
| 2018 | ISIT | Redundancy of Unbounded Memory Markov Classes with Continuity Conditions. | Changlong Wu, Maryam Hosseini, Narayana Santhanam |
| 2017 | ISIT | Jackknife estimation for Markov processes with no mixing constraints. | Kevin Oshiro, Changlong Wu, Narayana P. Santhanam |