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ASCL: Adversarial supervised contrastive learning for defense against word substitution attacks 期刊论文
NEUROCOMPUTING, 2022, 卷号: 510, 页码: 59-68
作者:  Shi, Jiahui;  Li, Linjing;  Zeng, Daniel
Adobe PDF(1054Kb)  |  收藏  |  浏览/下载：238/27  |  提交时间：2022/11/14
Adversarial example  Adversarial training  Model robustness  Contrastive learning  Natural language processing  
Hierarchical Multihop Reasoning on Knowledge Graphs 期刊论文
IEEE INTELLIGENT SYSTEMS, 2022, 卷号: 37, 期号: 1, 页码: 71-78
作者:  Wang, Zikang;  Li, Linjing;  Zeng, Daniel Dajun
Adobe PDF(1656Kb)  |  收藏  |  浏览/下载：311/80  |  提交时间：2022/07/25
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Hu, Guangzheng;  Zhu, Yuanheng;  Zhao, Dongbin;  Zhao, Mengchen;  Hao, Jianye
Adobe PDF(4187Kb)  |  收藏  |  浏览/下载：219/1  |  提交时间：2022/01/27
Bandwidth  Protocols  Reinforcement learning  Task analysis  Optimization  Communication networks  Multi-agent systems  Event trigger  limited bandwidth  multi-agent communication  multi-agent reinforcement learning (MARL)  
SRGCN: Graph-based multi-hop reasoning on knowledge graphs 期刊论文
Neurocomputing, 2021, 卷号: 454, 期号: 454, 页码: 280-290
作者:  Wang, Zikang;  Li, Linjing;  Zeng, Daniel
Adobe PDF(1540Kb)  |  收藏  |  浏览/下载：211/60  |  提交时间：2021/05/31
knowledge graph  multi-hop reasoning  graph convolutional network