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RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring 期刊论文
IEEE Transactions on Knowledge and Data Engineering, 2022, 卷号: 35, 期号: 7, 页码: 7427 - 7439
作者:  Qiang Liu;  Yingtao Luo;  Shu Wu(吴书);  Zhen Zhang;  Xiangnan Yue;  Hong Jin;  Liang Wang
Adobe PDF(1703Kb)  |  收藏  |  浏览/下载：32/14  |  提交时间：2024/06/20
Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 411-430
作者:  Qiyue Yin;  Tongtong Yu;  Shengqi Shen;  Jun Yang;  Meijing Zhao;  Wancheng Ni;  Kaiqi Huang;  Bin Liang;  Liang Wang
Adobe PDF(2923Kb)  |  收藏  |  浏览/下载：51/20  |  提交时间：2024/05/23
Deep reinforcement learning, distributed machine learning, self-play, population-play, toolbox  
AI in Human-computer Gaming: Techniques, Challenges and Opportunities 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 299-317
作者:  Qi-Yue Yin;  Jun Yang;  Kai-Qi Huang;  Mei-Jing Zhao;  Wan-Cheng Ni;  Bin Liang;  Yan Huang;  Shu Wu;  Liang Wang
Adobe PDF(2608Kb)  |  收藏  |  浏览/下载：74/20  |  提交时间：2024/04/23
Human-computer gaming, AI, intelligent decision making, deep reinforcement learning, self-play  
Second-Order Global Attention Networks for Graph Classification and Regression 会议论文
, Beijing, China, August 27-28, 2022
作者:  Hu Fenyu;  Cui Zeyu;  Wu Shu;  Liu Qiang;  Wu Jinlin;  Wang Liang;  Tan Tieniu
Adobe PDF(69424Kb)  |  收藏  |  浏览/下载：229/74  |  提交时间：2023/07/06
Robust Object Tracking via Information Theoretic Measures 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 652-666
作者:  Wei-Ning Wang;  Qi Li;  Liang Wang
Adobe PDF(1855Kb)  |  收藏  |  浏览/下载：192/32  |  提交时间：2021/02/22
Object tracking  information theoretic measures  correntropy  template update  robust to complex noises.  
Robust Object Tracking via Information Theoretic Measures 期刊论文
International Journal of Automation and Computing, 2020, 期号: 17, 页码: 1
作者:  Wang, Weining;  Li, Qi;  Wang, Liang
浏览  |  Adobe PDF(9045Kb)  |  收藏  |  浏览/下载：220/64  |  提交时间：2020/09/03
Object tracking, information theoretic measures, correntropy, template update, robust to complex noises  
Conditional High-Order Boltzmann Machines for Supervised Relation Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 9, 页码: 4297-4310
作者:  Huang, Yan;  Wang, Wei;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(4175Kb)  |  收藏  |  浏览/下载：468/168  |  提交时间：2017/06/19
Deep Learning  High-order Boltzmann Machine  Relation Learning  Face Verification  Action Similarity Labeling  
Exploring generalized shape analysis by topological representations 期刊论文
PATTERN RECOGNITION LETTERS, 2017, 卷号: 87, 期号: 87, 页码: 177-185
作者:  Zhou, Zhen;  Huang, Yongzhen;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(2603Kb)  |  收藏  |  浏览/下载：451/146  |  提交时间：2017/05/05
Topology  Persistent Homology  Shape Analysis  Gait Recognition  3d Facial Expression Recognition  
Information Theoretic Subspace Clustering 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2016, 卷号: 27, 期号: 12, 页码: 2643-2655
作者:  He, Ran;  Wang, Liang;  Sun, Zhenan;  Zhang, Yingya;  Li, Bo;  Bo LI
浏览  |  Adobe PDF(2269Kb)  |  收藏  |  浏览/下载：475/197  |  提交时间：2016/08/11
Correntropy  Group Sparsity  Low-rank Representation (Lrr)  Subspace Clustering  
Robust Recognition via Information Theoretic Learning 专著
Newyork, USA:Springer, 2014
作者:  Ran He(赫然);  Baogang Hu;  Xiaotong Yuan;  Liang Wang
浏览  |  Adobe PDF(2846Kb)  |  收藏  |  浏览/下载：438/134  |  提交时间：2016/08/11