Yangbin Chen

According to our database, Yangbin Chen authored at least 18 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Following the TRACE: A Structured Path to Empathetic Response Generation with Multi-Agent Models.

Ziqi Liu, Ziyang Zhou, Yilin Li, Haiyang Zhang, Yangbin Chen

CoRR, September, 2025

SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Irony Detection.

Ziqi Liu, Yangbin Chen, Ziyang Zhou, Yilin Li, Mingxuan Hu, Yushan Pan, Zhijie Xu

CoRR, August, 2025

Speech-based Clinical Depression Detection: An Empirical Study.

Yangbin Chen, Chenyang Xu, Chunfeng Liang, Yanbao Tao, Chuan Shi

Proceedings of the IEEE International Conference on Acoustics, 2025

2024

Speech-based Clinical Depression Screening: An Empirical Study.

Yangbin Chen, Chenyang Xu, Chunfeng Liang, Yanbao Tao, Chuan Shi

CoRR, 2024

2022

Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation.

Yangbin Chen, Chunfeng Liang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

A Meta-Learning Approach for User-Defined Spoken Term Classification with Varying Classes and Examples.

Yangbin Chen, Tom Ko, Jianping Wang

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer.

Yun Ma, Yangbin Chen, Xudong Mao, Qing Li

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

An Investigation of Few-Shot Learning in Spoken Term Classification.

Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, Qing Li

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Mixing Up Real Samples and Adversarial Samples for Semi-Supervised Learning.

Yun Ma, Xudong Mao, Yangbin Chen, Qing Li

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization.

Yangbin Chen, Yun Ma, Tom Ko, Jianping Wang, Qing Li

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Prototypical Networks for Small Footprint Text-Independent Speaker Verification.

Tom Ko, Yangbin Chen, Qing Li

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Design and Evaluate Immersive Learning Experience for Massive Open Online Courses (MOOCs).

Horace Ho-Shing Ip, Chen Li, Selena Leoni, Yangbin Chen, Ka Fai Ma, Hoi To Wong, Qing Li

IEEE Trans. Learn. Technol., 2019

Multi-Task Learning for Abstractive and Extractive Summarization.

Yangbin Chen, Yun Ma, Xudong Mao, Qing Li

Data Sci. Eng., 2019

Virtual Mixup Training for Unsupervised Domain Adaptation.

Xudong Mao, Yun Ma, Zhenguo Yang, Yangbin Chen, Qing Li

CoRR, 2019

Generating Adversarial Examples by Adversarial Networks for Semi-supervised Learning.

Yun Ma, Xudong Mao, Yangbin Chen, Qing Li

Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

2018

Meta Learning for Few-shot Keyword Spotting.

Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, Qing Li

CoRR, 2018

Abstractive Summarization with the Aid of Extractive Summarization.

Yangbin Chen, Yun Ma, Xudong Mao, Qing Li

Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2015

Semi-Supervised Multimodal Fusion Model for Social Event Detection on Web Image Collections.

Zhenguo Yang, Qing Li, Zheng Lu, Yun Ma, Zhiguo Gong, Haiwei Pan, Yangbin Chen

Int. J. Multim. Data Eng. Manag., 2015