Multi-agent deep reinforcement learning with type-based hierarchical group communication H Jiang, D Shi, C Xue, Y Wang, G Wang, Y Zhang Applied Intelligence 51, 5793-5808, 2021 | 18 | 2021 |
Multi actor hierarchical attention critic with RNN-based feature extraction D Shi, C Zhao, Y Wang, H Yang, G Wang, H Jiang, C Xue, S Yang, ... Neurocomputing 471, 79-93, 2022 | 12 | 2022 |
AHAC: actor hierarchical attention critic for multi-agent reinforcement learning Y Wang, D Shi, C Xue, H Jiang, G Wang, P Gong 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 12 | 2020 |
Ghgc: Goal-based hierarchical group communication in multi-agent reinforcement learning H Jiang, D Shi, C Xue, Y Wang, G Wang, Y Zhang 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 5 | 2020 |
Bic-ddpg: Bidirectionally-coordinated nets for deep multi-agent reinforcement learning G Wang, D Shi, C Xue, H Jiang, Y Wang International Conference on Collaborative Computing: Networking …, 2020 | 4 | 2020 |
Friend-or-foe deep deterministic policy gradient H Jiang, D Shi, C Xue, Y Wang, G Wang, Y Zhang 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 2 | 2020 |
Mied: An improved graph neural network for node embedding in heterogeneous graphs M Ni, Y Song, G Wang, L Feng, Y Li, L Yan, D Li, Y Wang, S Zhang, ... EAI Endorsed Transactions on Scalable Information Systems 10 (6), 2023 | 1 | 2023 |
D-AE: A Discriminant Encode-Decode Nets for Data Generation G Wang, Y Song, Y Li, M Ni, L Yan, B Hu, Q Wang, Y Li, X Huang International Conference on Collaborative Computing: Networking …, 2023 | | 2023 |
基于混合偏好分析的联邦推荐框架. 宋雨伦, 李大中, 张丝雨, 庄媛, 崔玲龙, 王功举, 闫龙 Cyber Security & Data Governance 42 (10), 2023 | | 2023 |
Pessimistic Adversarially Regularized Learning for Graph Embedding M Li, Y Song, L Yan, H Feng, Y Song, Y Li, G Wang International Conference on Advanced Data Mining and Applications, 338-351, 2023 | | 2023 |
PAGAE: Improving Graph Autoencoder by Dual Enhanced Adversary. G Wang, M Li, H Feng, L Yan, Y Song, Y Li, Y Song CogSci, 2023 | | 2023 |