关注
Gongju Wang(王功举)
Gongju Wang(王功举)
China Unicom Digital Technology Co., Ltd., Data Intelligence Division, Technology R&D Department, Be
在 chinaunicom.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
182021
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
122022
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
122020
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
52020
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
42020
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
22020
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
12023
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
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