| Multitask bandit learning through heterogeneous feedback aggregation Z Wang, C Zhang, MK Singh, L Riek, K Chaudhuri International Conference on Artificial Intelligence and Statistics, 1531-1539, 2021 | 30* | 2021 |
| Provably efficient multi-task reinforcement learning with model transfer C Zhang, Z Wang Advances in Neural Information Processing Systems 34, 19771-19783, 2021 | 18 | 2021 |
| Thompson sampling for robust transfer in multi-task bandits Z Wang, C Zhang, K Chaudhuri Proceedings of the 39th International Conference on Machine Learning, PMLR …, 2022 | 7 | 2022 |
| Load scheduling of simple temporal networks under dynamic resource pricing TKS Kumar, Z Wang, A Kumar, C Rogers, C Knoblock Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 6 | 2018 |
| Metric learning from limited pairwise preference comparisons Z Wang, G So, RK Vinayak The 40th Conference on Uncertainty in Artificial Intelligence, 2024 | 4 | 2024 |
| Interactive Machine Learning with Heterogeneous Data Z Wang UC San Diego, 2024 | | 2024 |
| Beyond task diversity: provable representation transfer for sequential multitask linear bandits T Duong, Z Wang, C Zhang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
| The Factored Shortest Path Problem and Its Applications in Robotics Z Wang, L Cohen, S Koenig, TKS Kumar Proceedings of the International Conference on Automated Planning and …, 2018 | | 2018 |
| On the Linear Programming Duals of Temporal Reasoning Problems TKS Kumar, Z Wang, A Kumar, CM Rogers, CA Knoblock The 15th International Symposium on Artificial Intelligence and Mathematics …, 2018 | | 2018 |
