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| DyGCN: Efficient Dynamic Graph Embedding with Graph Convolutional Network 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2022, 卷号: 35, 期号: 4, 页码: 4635 - 4646 作者: Zeyu Cui; Zekun Li; Shu Wu(吴书); Xiaoyu Zhang; Qiang Liu; Liang Wang; Mengmeng Ai Adobe PDF(1157Kb)  |  收藏  |  浏览/下载:29/11  |  提交时间:2024/06/20 |
| Spiking Neural Network for Ultralow-Latency and High-Accurate Object Detection 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2024, 页码: 10.1109/TNNLS.2024.3372613 作者: Jinye Qu; Zeyu Gao; Tielin Zhang; Yanfeng Lu; Huajin Tang; Hong Qiao Adobe PDF(2939Kb)  |  收藏  |  浏览/下载:42/18  |  提交时间:2024/06/06 Low latency object detection spiking neural network (SNN) timesteps compression |
| Learning Semantics-Consistent Stripes With Self-Refinement for Person Re-Identification 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-12 作者: Zhu Kuan; Guo Haiyun; Liu Songyan; Wang Jinqiao; Tang Ming Adobe PDF(4384Kb)  |  收藏  |  浏览/下载:160/44  |  提交时间:2023/06/08 |
| Integrating Relational Knowledge With Text Sequences for Script Event Prediction 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2023, 页码: early access 作者: Zikang Wang; Linjing Li; Daniel Zeng Adobe PDF(3215Kb)  |  收藏  |  浏览/下载:391/102  |  提交时间:2023/03/20 |
| Attention enhanced reinforcement learning for multi-agent cooperation 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2022, 期号: 2022, 页码: 1-15 作者: Zhiqiang Pu; Huimu Wang; Zhen Liu; Jianqiang Yi; Shiguang Wu Adobe PDF(2967Kb)  |  收藏  |  浏览/下载:253/50  |  提交时间:2022/04/02 Attention mechanism deep reinforcement learning (DRL) graph convolutional networks multi agent systems |
| Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 6, 页码: 2358-2372 作者: Zezhi Sui; Zhiqiang Pu; Jianqiang Yi; Shiguang Wu Adobe PDF(5344Kb)  |  收藏  |  浏览/下载:265/86  |  提交时间:2022/04/02 Collision avoidance deep reinforcement learning (DRL) formation control leader–follower |