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Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:  Qi, Xingqun;  Sun, Muyi;  Wang, Zijian;  Liu, Jiaming;  Li, Qi;  Zhao, Fang;  Zhang, Shanghang;  Shan, Caifeng
Adobe PDF(6718Kb)  |  收藏  |  浏览/下载：148/45  |  提交时间：2024/02/22
Face photo-sketch synthesis  generative adversarial network  graph representation learning  intraclass and interclass  iterative cycle training (ICT)  
Visually Guided Sound Source Separation With Audio-Visual Predictive Coding 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Song, Zengjie;  Zhang, Zhaoxiang
收藏  |  浏览/下载：73/0  |  提交时间：2023/11/17
Feature fusion  multimodal learning  predictive coding (PC)  self-supervised learning  sound source separation  
OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Li, Kai;  Xu, Hang;  Zhao, Enmin;  Wu, Zhe;  Xing, Junliang
收藏  |  浏览/下载：134/0  |  提交时间：2023/11/17
Artificial intelligence (AI)  benchmark  imperfect-information game  Nash equilibrium  no-limit Texas hold'em (NLTH)  
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Chai, Jiajun;  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(2469Kb)  |  收藏  |  浏览/下载：62/3  |  提交时间：2023/11/16
Large-scale multiagent  neighboring communication  reinforcement learning (RL)  variational information flow  
BAI-Net: Individualized Anatomical Cerebral Cartography Using Graph Neural Network 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 1-12
作者:  Ma L(马亮);  Zhang Y(张瑜);  Zhang HT(张瀚天);  Cheng LQ(程禄祺);  Yang ZY(杨正宜);  Lu YH(陆玉恒);  Shi WY(时维阳);  Li W(李雯);  Zhuo JJ(卓俊杰);  Wang JJ(王娇健);  Fan LZ(樊令仲);  Jiang TZ(蒋田仔)
Adobe PDF(16100Kb)  |  收藏  |  浏览/下载：200/40  |  提交时间：2023/01/04
anatomical connectivity fingerprints  heritability  individualized brain atlas  graph neural network  topography variability  
PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 12
作者:  Lian, Zheng;  Liu, Bin;  Tao, Jianhua
Adobe PDF(2013Kb)  |  收藏  |  浏览/下载：433/10  |  提交时间：2022/09/19
Emotion recognition  Iterative methods  Context modeling  Psychology  Oral communication  Logic gates  Learning systems  Contextual information  emotion recognition in conversation (ERC)  iterative method  Personality-enhanced Iterative Refinement Network (PIRNet)  personality influence  
VAG: A Uniform Model for Cross-Modal Visual-Audio Mutual Generation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:  Hao, Wangli;  Guan, He;  Zhang, Zhaoxiang
Adobe PDF(37909Kb)  |  收藏  |  浏览/下载：243/0  |  提交时间：2022/06/10
Task analysis  Instruments  Visualization  Image reconstruction  Generators  Decoding  Generative adversarial networks  Cross modality  cross-modal generation  mutual generation  visual and audio  
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241
作者:  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(2838Kb)  |  收藏  |  浏览/下载：250/12  |  提交时间：2022/06/10
Games  Nash equilibrium  Mathematical model  Markov processes  Convergence  Dynamic programming  Training  Deep reinforcement learning (DRL)  generalized policy iteration (GPI)  Markov game (MG)  Nash equilibrium  Q network  zero sum  
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269
作者:  Xu, Ting-Bing;  Liu, Cheng-Lin
收藏  |  浏览/下载：211/0  |  提交时间：2022/02/16
Training  Nonlinear distortion  Data models  Neural networks  Knowledge engineering  Network architecture  Generalization error  network compression  representation invariance  self-distillation (SD)  
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 0
作者:  Liu, Fei;  Liu, Jing;  Hong, Richang;  Lu, Hanqing
Adobe PDF(3550Kb)  |  收藏  |  浏览/下载：367/93  |  提交时间：2022/01/27
video question answering  attention mechanism  metric learning