Yi Chang

According to our database, Yi Chang authored at least 16 papers between 2021 and 2024.

Collaborative distances:

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

2024

Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework.

Wanyong Qiu, Chen Quan, Lixian Zhu, Yongzi Yu, Zhihua Wang, Yu Ma, Mengkai Sun, Yi Chang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller

IEEE Trans. Biomed. Eng., October, 2024

Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection.

Wanyong Qiu, Yifan Feng, Yuying Li, Yi Chang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller

IEEE J. Biomed. Health Informatics, September, 2024

A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era.

Zhao Ren, Yi Chang, Thanh Tam Nguyen, Yang Tan, Kun Qian, Björn W. Schuller

IEEE Comput. Intell. Mag., August, 2024

Speech Emotion Recognition under Resource Constraints with Data Distillation.

Yi Chang, Zhao Ren, Zhonghao Zhao, Thanh Tam Nguyen, Kun Qian, Tanja Schultz, Björn W. Schuller

CoRR, 2024

STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition.

Yi Chang, Zhao Ren, Zixing Zhang, Xin Jing, Kun Qian, Xi Shao, Bin Hu, Tanja Schultz, Björn W. Schuller

CoRR, 2024

2023

U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech.

Xin Jing, Yi Chang, Zijiang Yang, Jiangjian Xie, Andreas Triantafyllopoulos, Björn W. Schuller

CoRR, 2023

Fast Yet Effective Speech Emotion Recognition with Self-Distillation.

Zhao Ren, Thanh Tam Nguyen, Yi Chang, Björn W. Schuller

Proceedings of the IEEE International Conference on Acoustics, 2023

Knowledge Transfer for on-Device Speech Emotion Recognition With Neural Structured Learning.

Yi Chang, Zhao Ren, Thanh Tam Nguyen, Kun Qian, Björn W. Schuller

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet.

Björn W. Schuller, Alican Akman, Yi Chang, Harry Coppock, Alexander Gebhard, Alexander Kathan, Esther Rituerto-González, Andreas Triantafyllopoulos, Florian B. Pokorny

CoRR, 2022

Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition.

Yi Chang, Sofiane Laridi, Zhao Ren, Gregory Palmer, Björn W. Schuller, Marco Fisichella

CoRR, 2022

Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis.

Yi Chang, Zhao Ren, Thanh Tam Nguyen, Wolfgang Nejdl, Björn W. Schuller

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

A Federated Learning Paradigm for Heart Sound Classification.

Wanyong Qiu, Kun Qian, Zhihua Wang, Yi Chang, Zhihao Bao, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

CNN-Based Heart Sound Classification with an Imbalance-Compensating Weighted Loss Function.

Zishen Li, Yi Chang, Björn W. Schuller

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough Sounds.

Yi Chang, Xin Jing, Zhao Ren, Björn W. Schuller

Frontiers Digit. Health, 2021

The EIHW-GLAM Deep Attentive Multi-model Fusion System for Cough-based COVID-19 Recognition in the DiCOVA 2021 Challenge.

Zhao Ren, Yi Chang, Björn W. Schuller

CoRR, 2021

Transformer-based CNNs: Mining Temporal Context Information for Multi-sound COVID-19 Diagnosis.

Yi Chang, Zhao Ren, Björn W. Schuller

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021