| 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 | 312 | 2018 |
| 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 | 54 | 2021 |
| 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 | 43 | 2019 |
| Everything of thoughts: Defying the law of penrose triangle for thought generation R Ding, C Zhang, L Wang, Y Xu, M Ma, W Zhang, S Qin, S Rajmohan, ... arXiv preprint arXiv:2311.04254, 2023 | 35 | 2023 |
| 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 | 32 | 2017 |
| Empower large language model to perform better on industrial domain-specific question answering F Yang, P Zhao, Z Wang, L Wang, J Zhang, M Garg, Q Lin, S Rajmohan, ... arXiv preprint arXiv:2305.11541, 2023 | 28 | 2023 |
| Personalized prescription for comorbidity L Wang, W Zhang, X He, H Zha Database Systems for Advanced Applications: 23rd International Conference …, 2018 | 28 | 2018 |
| Deep reinforcement learning for greenhouse climate control L Wang, X He, D Luo 2020 IEEE International Conference on Knowledge Graph (ICKG), 474-480, 2020 | 27 | 2020 |
| 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 | 25 | 2019 |
| 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 | 24 | 2020 |
| 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 | 20 | 2020 |
| 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 | 19 | 2021 |
| 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 | 18 | 2022 |
| Taskweaver: A code-first agent framework B Qiao, L Li, X Zhang, S He, Y Kang, C Zhang, F Yang, H Dong, J Zhang, ... arXiv preprint arXiv:2311.17541, 2023 | 17 | 2023 |
| 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 | 17 | 2022 |
| 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 | 16 | 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 | 14 | 2023 |
| 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 | 13 | 2023 |
| Skill disentanglement for imitation learning from suboptimal demonstrations T Zhao, W Yu, S Wang, L Wang, X Zhang, Y Chen, Y Liu, W Cheng, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs F Yang, L Wang, Z Xu, J Zhang, L Li, B Qiao, C Couturier, C Bansal, ... ASPLOS, 2023 | 9 | 2023 |
