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CASIA OpenIR
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SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition 期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 3, 页码: 2415-2429
作者:  Lian, Zheng;  Liu, Bin;  Tao, Jianhua
收藏  |  浏览/下载：75/0  |  提交时间：2023/11/15
Emotion recognition  Feature extraction  Training  Acoustics  Semisupervised learning  Benchmark testing  Hidden Markov models  Semi-supervised multi-modal interaction network (SMIN)  conversational emotion recognition  semi-supervised learning  intra-modal interaction  cross-modal interaction  
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
收藏  |  浏览/下载：301/0  |  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  
Design and Analysis of a Human-Machine Interaction System for Researching Human's Dynamic Emotion 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 10, 页码: 6111-6121
作者:  Sun, Xiao;  Pei, Zhengmeng;  Zhang, Chen;  Li, Guoqiang;  Tao, Jianhua
收藏  |  浏览/下载：176/0  |  提交时间：2021/11/04
Heuristic algorithms  Hidden Markov models  Robots  Sun  Vehicle dynamics  Task analysis  Deep learning  Emotional guidance  emotional transfer  human-machine interaction  Markov chain Monte Carlo  
CTNet: Conversational Transformer Network for Emotion Recognition 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2021, 期号: 29, 页码: 985-1000
作者:  Lian, Zheng;  Liu, Bin;  Tao, Jianhua
Adobe PDF(2230Kb)  |  收藏  |  浏览/下载：326/58  |  提交时间：2021/05/06
Emotion recognition  Context modeling  Feature extraction  Fuses  Speech processing  Data models  Bidirectional control  Context-sensitive modeling  conversational transformer network (CTNet)  conversational emotion recognition  multimodal fusion  speaker-sensitive modeling  
A time-frequency channel attention and vectorization network for automatic depression level prediction 期刊论文
Neurocomputing, 2021, 期号: 450, 页码: 208-218
作者:  Mingyue Niu;  Bin Liu;  Jianhua Tao;  Qifei Li
Adobe PDF(2001Kb)  |  收藏  |  浏览/下载：164/44  |  提交时间：2021/06/01
Sphere embedding normalization  DenseNet  Transition layer  Time-frequency channel attention block  Time-frequency vectorization block  Depression detection  
MULTI-SCALE AND MULTI-REGION FACIAL DISCRIMINATIVE REPRESENTATION FOR AUTOMATIC DEPRESSION LEVEL PREDICTION 会议论文
, 加拿大多伦多, 2021-6
作者:  MIngyue Niu;  Jianhua Tao;  Bin Liu
Adobe PDF(1629Kb)  |  收藏  |  浏览/下载：167/48  |  提交时间：2021/06/01
DECN: Dialogical Emotion Correction Network for Conversational Emotion Recognition 期刊论文
Neurocomputing, 2021, 期号: 0, 页码: 0
作者:  Zheng Lian;  Bin Liu;  Jianhua Tao
Adobe PDF(2238Kb)  |  收藏  |  浏览/下载：144/27  |  提交时间：2021/06/16
Emotion recognition in conversations (ERC)  Context-sensitive modeling  Dialogical Emotion Correction Network (DECN)  Interaction modeling  
Multimodal Transformer Learning for Continuous Emotion Recognition 会议论文
, Barcelona, Spain, 2020.5.4-2020.5.8
作者:  Huang, Jian;  Tao, Jianhua;  Liu, Bin;  Lian, Zheng;  Niu, Mingyue
浏览  |  Adobe PDF(334Kb)  |  收藏  |  浏览/下载：307/99  |  提交时间：2020/06/20
Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks 会议论文
, Shanghai, China, 25-29 October, 2020
作者:  Zheng Lian;  Jianhua Tao;  Bin Liu;  Jian Huang;  Zhanlei Yang;  Rongjun Li
Adobe PDF(509Kb)  |  收藏  |  浏览/下载：119/39  |  提交时间：2021/06/16
Expression Analysis Based on Face Regions in Real-world Conditions 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 96-107
作者:  Zheng Lian;  Ya Li;  Jian-Hua Tao;  Jian Huang;  Ming-Yue Niu
浏览  |  Adobe PDF(1364Kb)  |  收藏  |  浏览/下载：208/42  |  提交时间：2021/02/22
Facial emotion analysis  face areas  class activation map  confusion matrix  concerned area.