Transformer-based CNNs: Mining Temporal Context Information for Multi-sound COVID-19 Diagnosis. - Yi Chang 004; Zhao Ren; Björn W. Schuller (EMBC, 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 004; Björn W. Schuller (CoRR, 2021)

CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough Sounds. - Yi Chang 004; Xin Jing; Zhao Ren; Björn W. Schuller (Frontiers Digit. Health, 2021)

CNN-Based Heart Sound Classification with an Imbalance-Compensating Weighted Loss Function. - Zishen Li; Yi Chang 004; Björn W. Schuller (EMBC, 2022)

A Federated Learning Paradigm for Heart Sound Classification. - Wanyong Qiu; Kun Qian 003; Zhihua Wang; Yi Chang 004; Zhihao Bao; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (EMBC, 2022)

Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis. - Yi Chang 004; Zhao Ren; Thanh Tam Nguyen; Wolfgang Nejdl; Björn W. Schuller (INTERSPEECH, 2022)

Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition. - Yi Chang 004; Sofiane Laridi; Zhao Ren; Gregory Palmer; Björn W. Schuller; Marco Fisichella (CoRR, 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 004; Harry Coppock; Alexander Gebhard 001; Alexander Kathan; Esther Rituerto-González; Andreas Triantafyllopoulos; Florian B. Pokorny (CoRR, 2022)

Knowledge Transfer for on-Device Speech Emotion Recognition With Neural Structured Learning. - Yi Chang 004; Zhao Ren; Thanh Tam Nguyen; Kun Qian 003; Björn W. Schuller (ICASSP, 2023)

Fast Yet Effective Speech Emotion Recognition with Self-Distillation. - Zhao Ren; Thanh Tam Nguyen; Yi Chang 004; Björn W. Schuller (ICASSP, 2023)

U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech. - Xin Jing; Yi Chang 004; Zijiang Yang 007; Jiangjian Xie; Andreas Triantafyllopoulos; Björn W. Schuller (CoRR, 2023)

Speech Emotion Recognition under Resource Constraints with Data Distillation. - Yi Chang 004; Zhao Ren; Zhonghao Zhao; Thanh Tam Nguyen; Kun Qian 003; Tanja Schultz; Björn W. Schuller (CoRR, 2024)

A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era. - Zhao Ren; Yi Chang 004; Thanh Tam Nguyen; Yang Tan 003; Kun Qian 003; Björn W. Schuller (IEEE Comput. Intell. Mag., 2024)

Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection. - Wanyong Qiu; Yifan Feng; Yuying Li 006; Yi Chang 004; Kun Qian 003; Bin Hu 001; Yoshiharu Yamamoto; Björn W. Schuller (IEEE J. Biomed. Health Informatics, 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 004; Kun Qian 003; Bin Hu 001; Yoshiharu Yamamoto; Björn W. Schuller (IEEE Trans. Biomed. Eng., 2024)

STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition. - Yi Chang 004; Zhao Ren; Zixing Zhang 001; Xin Jing; Kun Qian 003; Xi Shao; Bin Hu 001; Tanja Schultz; Björn W. Schuller (IEEE Trans. Affect. Comput., 2025)