| Supervised reinforcement learning with recurrent neural network for dynamic treatment recommendation L Wang, W Zhang, X He, H Zha Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 257 | 2018 |
| Continuous patient-centric sequence generation via sequentially coupled adversarial learning L Wang, W Zhang, X He Database Systems for Advanced Applications: 24th International Conference …, 2019 | 30 | 2019 |
| Biucb: A contextual bandit algorithm for cold-start and diversified recommendation L Wang, C Wang, K Wang, X He 2017 IEEE International Conference on Big Knowledge (ICBK), 248-253, 2017 | 26 | 2017 |
| Learning robust representations with graph denoising policy network L Wang, W Yu, W Wang, W Cheng, W Zhang, H Zha, X He, H Chen 2019 IEEE International Conference on Data Mining (ICDM), 1378-1383, 2019 | 24 | 2019 |
| Tcl: Transformer-based dynamic graph modelling via contrastive learning L Wang, X Chang, S Li, Y Chu, H Li, W Zhang, X He, L Song, J Zhou, ... arXiv preprint arXiv:2105.07944, 2021 | 20 | 2021 |
| Deep reinforcement learning for greenhouse climate control L Wang, X He, D Luo 2020 IEEE International Conference on Knowledge Graph (ICKG), 474-480, 2020 | 19 | 2020 |
| Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱ L Wang, W Yu, X He, W Cheng, MR Ren, W Wang, B Zong, H Chen, ... Proceedings of The Web Conference 2020, 1785-1795, 2020 | 19 | 2020 |
| Personalized prescription for comorbidity L Wang, W Zhang, X He, H Zha Database Systems for Advanced Applications: 23rd International Conference …, 2018 | 18 | 2018 |
| Hierarchical imitation learning via subgoal representation learning for dynamic treatment recommendation L Wang, R Tang, X He, X He Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 11 | 2022 |
| Temporal Logic Point Processes S Li, L Wang, R Zhang, xiaofu Chang, X Liu, YQ Yao Xie, S Le. International Conference on Machine Learning 2020, 2020 | 11 | 2020 |
| An empirical investigation of missing data handling in cloud node failure prediction M Ma, Y Liu, Y Tong, H Li, P Zhao, Y Xu, H Zhang, S He, L Wang, Y Dang, ... Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 10 | 2022 |
| Explaining point processes by learning interpretable temporal logic rules S Li, M Feng, L Wang, A Essofi, Y Cao, J Yan, L Song International Conference on Learning Representations, 2021 | 10 | 2021 |
| T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification P Zhao, C Luo, B Qiao, L Wang, Q Lin IJCAI, 2022 | 8 | 2022 |
| Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations T Zhao, W Yu, S Wang, L Wang, X Zhang, Y Chen, Y Liu, W Cheng, ... arXiv preprint arXiv:2306.07919, 2023 | 5 | 2023 |
| TradeBot: Bandit learning for hyper-parameters optimization of high frequency trading strategy W Zhang, L Wang, L Xie, K Feng, X Liu Pattern Recognition 124, 108490, 2022 | 5 | 2022 |
| Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies X Chen, L Wang, Y Hang, H Ge, H Zha ICLR 2020, 2019 | 5 | 2019 |
| Introspective Tips: Large Language Model for In-Context Decision Making L Chen, L Wang, H Dong, Y Du, J Yan, F Yang, S Li, P Zhao, S Qin, ... arXiv preprint arXiv:2305.11598, 2023 | 3 | 2023 |
| Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning J Sheng, L Wang, F Yang, B Qiao, H Dong, X Wang, B Jin, J Wang, S Qin, ... WWW 2023, 2023 | 2 | 2023 |
| Spot Virtual Machine Eviction Prediction in Microsoft Cloud F Yang, B Pang, J Zhang, B Qiao, L Wang, C Couturier, C Bansal, S Ram, ... Companion Proceedings of the Web Conference 2022, 152-156, 2022 | 2 | 2022 |
| Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback L Wang, C Zhang, R Ding, Y Xu, Q Chen, W Zou, Q Chen, M Zhang, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
