An Active Learning-based Alternative Reinforcement Contextual Information Fusion Model for Multimodal Sentiment Analysis [paper]
Xiaojiang He, Yushan Pan, Yangbin Chen, Zuhe Li, Zhijie Xu, Chengguang Yang, and Kaiwei Wang
In IEEE Transactions on Audio, Speech and Language Processing (TASLP), 2025
Deep Learning-based Detection of Depression by Fusing Auditory, Visual and Textual Clues [paper]
Chenyang Xu, Yangbin Chen, Yanbao Tao, Wanqing Xie, Xiaofeng Liu, Yunhan Lin, Chunfeng Liang, Fan Du, Zhixiong Lin, Chuan Shi
In Journal of Affective Disorders, 2025
Wide‐Bandwidth Nanocomposite‐Sensor Integrated Smart Mask for Tracking Multiphase Respiratory Activities [paper]
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In Advanced Science, 2022
Multi-Task Learning for Abstractive and Extractive Summarization [paper] [code]
Yangbin Chen, Yun Ma, Xudong Mao, and Qing Li
In Data Science and Engineering, 2019
Design and Evaluate Immersive Learning Experience for Massive Open Online Courses (MOOCs) [paper]
Horace H.S. Ip, Chen Li, Selena Leoni, Yangbin Chen, Ka-Fai Ma, Calvin Hoito Wong, and Qing Li
In IEEE Transactions on Learning Technologies, 2018
CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models [paper]
Ziqi Liu, Ziyang Zhou, Mingxuan Hu, Yangbin Chen, and Zhijie Xu
In 32nd International Conference on Neural Information Processing (ICONIP), 2025
An Active Learning-based Global-Distribution Attention Model for Multimodal Sentiment Analysis
Xiaojiang He, Yushan Pan, Nan Xiang, Yangbin Chen, and Zhijie Xu
In 13th International Conference on Affective Computing and Intelligent Interaction (ACII), 2025
Speech-based Clinical Depression Screening: An Empirical Study [paper]
Yangbin Chen, Chenyang Xu, Chunfeng Liang, Yanbao Tao, and Chuan Shi
In Proceedings of International Conference on Acoustics, Speech and Signal Processing Workshops(ICASSPW), 2025
Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation [paper]
Yangbin Chen and Chunfeng Liang
In Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer [paper]
Yun Ma, Yangbin Chen, Xudong Mao, and Qing Li
In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
A Meta-learning Approach for User-defined Spoken Term Classification with Varying Classes and Examples [paper] [code] [slides]
Yangbin Chen, Tom Ko, and Jianping Wang
In Proceedings of Interspeech, 2021
MetaMix: Improved Meta-Learning with Interpolation based Consistency Regularization [paper] [slides]
Yangbin Chen, Yun Ma, Tom Ko, Jianping Wang, and Qing Li
In Proceedings of 25th International Conference on Pattern Recognition (ICPR), 2020
An Investigation of Few-Shot Learning in Spoken Term Classification [paper] [code] [slides]
Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, and Qing Li
In Proceedings of Interspeech, 2020
Prototypical Networks for Small Footprint Text-Independent Speaker Verification [paper] [slides]
Tom Ko, Yangbin Chen, and Qing Li
In Proceedings of International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Generating Adversarial Examples by Adversarial Networks for Semi-supervised Learning [paper] [slides]
Yun Ma, Xudong Mao, Yangbin Chen, and Qing Li
In Proceedings of International Conference on Web Information Systems Engineering (WISE), 2020
Mixing Up Real Samples and Adversarial Samples for Semi-supervised Learning [paper] [slides]
Yun Ma, Xudong Mao, Yangbin Chen, and Qing Li
In Proceedings of International Joint Conference on Neural Networks (IJCNN), 2020
Abstractive Summarization with the Aid of Extractive Summarization [paper] [slides]
Yangbin Chen, Yun Ma, Xudong Mao, Qing Li
In Proceedings of Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, 2018
SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Irony Detection [paper]
Ziqi Liu, Yangbin Chen, Ziyang Zhou, Yilin Li, Mingxuan Hu, Yushan Pan, and Zhijie Xu
In arXiv:2508.06803, 2025
Virtual Mixup Training for Unsupervised Domain Adaptation [paper] [code]
Xudong Mao, Yun Ma, Zhenguo Yang, Yangbin Chen, and Qing Li
In arXiv preprint arXiv:1905.04215, 2019