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| A Novel Attention-based Global and Local Information Fusion Neural Network for Group Recommendation 期刊论文 Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 331-346 作者: Song Zhang; Nan Zheng; Dan-Li Wang Adobe PDF(1317Kb)  |  收藏  |  浏览/下载:10/3  |  提交时间:2024/04/23 Group recommendation attentive neural network (ANN) global information local information recommender system |
| Pedestrian Attribute Recognition in Video Surveillance Scenarios Based on View-attribute Attention Localization 期刊论文 Machine Intelligence Research, 2022, 卷号: 19, 期号: 2, 页码: 153-168 作者: Wei-Chen Chen; Xin-Yi Yu; Lin-Lin Ou Adobe PDF(1639Kb)  |  收藏  |  浏览/下载:25/10  |  提交时间:2024/04/23 Pedestrian attribute recognition surveillance scenarios view-attribute attention mechanism localization |
| Satellite Integration into 5G: Deep Reinforcement Learning for Network Selection 期刊论文 Machine Intelligence Research, 2022, 卷号: 19, 期号: 2, 页码: 127-137 作者: Emanuele De Santis; Alessandro Giuseppi; Antonio Pietrabissa; Michael Capponi; Francesco Delli Priscoli Adobe PDF(1513Kb)  |  收藏  |  浏览/下载:14/4  |  提交时间:2024/04/23 Network selection HetNet deep reinforcement learning deep-Q-network (DQN) 5G communications |
| Knowledge Mining: A Cross-disciplinary Survey 期刊论文 Machine Intelligence Research, 2022, 卷号: 19, 期号: 2, 页码: 89-114 作者: Yong Rui; Vicente Ivan Sanchez Carmona; Mohsen Pourvali; Yun Xing; Wei-Wen Yi; Hui-Bin Ruan; Yu Zhang Adobe PDF(1635Kb)  |  收藏  |  浏览/下载:23/5  |  提交时间:2024/04/23 Knowledge mining knowledge extraction information extraction association rule interpretability |
| Efficient Exploration for Multi-Agent Reinforcement Learning via Transferable Successor Features 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 9, 页码: 1673-1686 作者: Wenzhang Liu; Lu Dong; Dan Niu; Changyin Sun Adobe PDF(5554Kb)  |  收藏  |  浏览/下载:159/70  |  提交时间:2022/08/19 Knowledge transfer multi-agent systems reinforcement learning successor features |
| Reinforcement Learning Behavioral Control for Nonlinear Autonomous System 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 9, 页码: 1561-1573 作者: Zhenyi Zhang; Zhibin Mo; Yutao Chen; Jie Huang Adobe PDF(2249Kb)  |  收藏  |  浏览/下载:132/32  |  提交时间:2022/08/19 Behavioral control mission supervisor nonlinear autonomous system reinforcement learning |
| Visuals to Text: A Comprehensive Review on Automatic Image Captioning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1339-1365 作者: Yue Ming; Nannan Hu; Chunxiao Fan; Fan Feng; Jiangwan Zhou; Hui Yu Adobe PDF(56128Kb)  |  收藏  |  浏览/下载:167/21  |  提交时间:2022/08/01 Artificial intelligence attention mechanism encoder-decoder framework image captioning multi-modal understanding training strategies |
| Towards Long Lifetime Battery: AI-Based Manufacturing and Management 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1139-1165 作者: Kailong Liu; Zhongbao Wei; Chenghui Zhang; Yunlong Shang; Remus Teodorescu; Qing-Long Han Adobe PDF(10020Kb)  |  收藏  |  浏览/下载:180/30  |  提交时间:2022/06/27 Artificial intelligence battery health management battery life diagnostic battery manufacturing smart battery |
| Cooperative and Competitive Multi-Agent Systems: From Optimization to Games 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 763-783 作者: Jianrui Wang; Yitian Hong; Jiali Wang; Jiapeng Xu; Yang Tang; Qing-Long Han; Jürgen Kurths Adobe PDF(8407Kb)  |  收藏  |  浏览/下载:203/54  |  提交时间:2022/04/24 Cooperative games counterfactual regret min- imization distributed optimization federated optimization fictitious self-play mean field games multi-agent reinforcement learning non-cooperative games |
| Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 520-532 作者: Lina Xia; Qing Li; Ruizhuo Song; Hamidreza Modares Adobe PDF(2201Kb)  |  收藏  |  浏览/下载:226/52  |  提交时间:2022/03/09 Asymmetric input-constrained heterogeneous nonlinear multiagent systems (MASs) Hamilton-Jacobi-Bellman (HJB) equation novel observer reinforcement learning (RL) |