| An online learning approach to network application optimization with guarantee K Cai, X Liu, YZJ Chen, JCS Lui IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 2006-2014, 2018 | 27 | 2018 |
| Online competitive influence maximization J Zuo, X Liu, C Joe-Wong, JCS Lui, W Chen International Conference on Artificial Intelligence and Statistics, 11472-11502, 2022 | 12 | 2022 |
| Batch-size independent regret bounds for combinatorial semi-bandits with probabilistically triggered arms or independent arms X Liu, J Zuo, S Wang, C Joe-Wong, J Lui, W Chen Advances in Neural Information Processing Systems 35, 14904-14916, 2022 | 10 | 2022 |
| Multi-layered network exploration via random walks: From offline optimization to online learning X Liu, J Zuo, X Chen, W Chen, JCS Lui International Conference on Machine Learning, 7057-7066, 2021 | 9 | 2021 |
| Contextual combinatorial bandits with probabilistically triggered arms X Liu, J Zuo, S Wang, JCS Lui, M Hajiesmaili, A Wierman, W Chen International Conference on Machine Learning, 22559-22593, 2023 | 7 | 2023 |
| Federated online clustering of bandits X Liu, H Zhao, T Yu, S Li, JCS Lui Uncertainty in Artificial Intelligence, 1221-1231, 2022 | 7 | 2022 |
| Learning to count: A deep learning framework for graphlet count estimation X Liu, YZJ Chen, JCS Lui, K Avrachenkov Network Science 9 (S1), S23-S60, 2021 | 6 | 2021 |
| Efficient explorative key-term selection strategies for conversational contextual bandits Z Wang, X Liu, S Li, JCS Lui Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 10288 …, 2023 | 4 | 2023 |
| On-demand communication for asynchronous multi-agent bandits YZJ Chen, L Yang, X Wang, X Liu, M Hajiesmaili, JCS Lui, D Towsley International Conference on Artificial Intelligence and Statistics, 3903-3930, 2023 | 4 | 2023 |
| Achieving near-optimal individual regret & low communications in multi-agent bandits X Wang, L Yang, YJ Chen, X Liu, M Hajiesmaili, D Towsley, JCS Lui The Eleventh International Conference on Learning Representations, 2022 | 4 | 2022 |
| Learning with guarantee via constrained multi-armed bandit: Theory and network applications K Cai, X Liu, YZJ Chen, JCS Lui IEEE Transactions on Mobile Computing, 2022 | 4 | 2022 |
| Online clustering of bandits with misspecified user models Z Wang, J Xie, X Liu, S Li, J Lui Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Variance-adaptive algorithm for probabilistic maximum coverage bandits with general feedback X Liu, J Zuo, H Xie, C Joe-Wong, JCS Lui IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023 | 2 | 2023 |
| Exploration for free: how does reward heterogeneity improve regret in cooperative multi-agent bandits? X Wang, L Yang, YZJ Chen, X Liu, M Hajiesmaili, D Towsley, JCS Lui Uncertainty in Artificial Intelligence, 2192-2202, 2023 | 1 | 2023 |
| Graphlet count estimation via convolutional neural networks X Liu, YZJ Chen, J Lui, K Avrachenkov arXiv preprint arXiv:1810.03078, 2018 | 1 | 2018 |
| Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users H Yang, X Liu, Z Wang, H Xie, JCS Lui, D Lian, E Chen Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20596 …, 2024 | | 2024 |
| Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits?(Supplementary Material) X Wang, L Yang, YZJ Chen, X Liu, M Hajiesmaili, D Towsley, JCS Lui | | |
Yu-Zhen Janice CHENPhD Candidate at CICS, UMass AmherstVerified email at umass.edu
