| Semantic health knowledge graph: semantic integration of heterogeneous medical knowledge and services L Shi, S Li, X Yang, J Qi, G Pan, B Zhou BioMed research international 2017 (1), 2858423, 2017 | 166 | 2017 |
| Efficient novelty search through deep reinforcement learning L Shi, S Li, Q Zheng, M Yao, G Pan IEEE Access 8, 128809-128818, 2020 | 29 | 2020 |
| Characterization of a Novel Nicotine Degradation Gene Cluster ndp in Sphingomonas melonis TY and Its Evolutionary Analysis H Wang, XY Zhi, J Qiu, L Shi, Z Lu Frontiers in Microbiology 8, 337, 2017 | 29 | 2017 |
| Energy-effective artificial internet-of-things application deployment in edge-cloud systems Z Xiang, Y Zheng, M He, L Shi, D Wang, S Deng, Z Zheng Peer-to-Peer Networking and Applications 15 (2), 1029-1044, 2022 | 15 | 2022 |
| Forecasting credit default risk with graph attention networks B Zhou, J Jin, H Zhou, X Zhou, L Shi, J Ma, Z Zheng Electronic Commerce Research and Applications 62, 101332, 2023 | 7 | 2023 |
| Maximum entropy reinforcement learning with evolution strategies L Shi, S Li, Q Zheng, L Cao, L Yang, G Pan 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 7 | 2020 |
| TBQ(): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning L Shi, S Li, L Cao, L Yang, G Pan arXiv preprint arXiv:1905.07237, 2019 | 5 | 2019 |
| Enhancing Cross-Lingual Entity Alignment in Knowledge Graphs through Structure Similarity Rearrangement G Liu, C Jin, L Shi, C Yang, J Shuai, J Ying Sensors 23 (16), 7096, 2023 | 2 | 2023 |
| Session-based Interactive Recommendation via Deep Reinforcement Learning L Shi, Z Zhang, S Wang, Q Zhang, M Wu, C Yang, S Li 2023 IEEE International Conference on Data Mining (ICDM), 1319-1324, 2023 | 1 | 2023 |
| WemiEnv: An Open-source Reinforcement Learning Platform for WeChat Mini-Games L Shi, Q Ding, J Hou, B Zhou, C Jin, Y Tao, J Wei, S Li IEEE Transactions on Games, 2025 | | 2025 |
| TrajGraph: A Dual-View Graph Transformer Model for Effective Next Location Recommendation J Zhao, H Ni, C Jin, T Zheng, L Shi, X Wang 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
| Efficient Tree Policy with Attention-Based State Representation for Interactive Recommendation SL Longxiang Shi, Qi Zhang, Shoujin Wang, Zilin Zhang, Binbin Zhou, Minghui Wu Applied Sciences Basel, 2023 | | 2023 |
| Efficient Interactive Recommendation via Huffman Tree-based Policy Learning L Shi, Z Zhang, S Wang, B Zhou, M Wu, C Yang, S Li Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | | 2023 |
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