Lu Wang
Lu Wang
Microsoft Research
Vahvistettu sähköpostiosoite verkkotunnuksessa
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
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
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
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
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
Deep reinforcement learning for greenhouse climate control
L Wang, X He, D Luo
2020 IEEE International Conference on Knowledge Graph (ICKG), 474-480, 2020
Personalized prescription for comorbidity
L Wang, W Zhang, X He, H Zha
Database Systems for Advanced Applications: 23rd International Conference …, 2018
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
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
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
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
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
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
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
Empower large language model to perform better on industrial domain-specific question answering
Z Wang, F Yang, P Zhao, L Wang, J Zhang, M Garg, Q Lin, D Zhang
arXiv preprint arXiv:2305.11541, 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
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
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
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
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
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