An Effective Discriminative Learning Approach for Emotion-Specific Features Using Deep Neural Networks. - Shuiyang Mao; Pak-Chung Ching (ICONIP (4), 2018)

Revisiting Hidden Markov Models for Speech Emotion Recognition. - Shuiyang Mao; Dehua Tao; Guangyan Zhang; P. C. Ching; Tan Lee 001 (ICASSP, 2019)

Deep Learning of Segment-Level Feature Representation with Multiple Instance Learning for Utterance-Level Speech Emotion Recognition. - Shuiyang Mao; P. C. Ching; Tan Lee 001 (INTERSPEECH, 2019)

Advancing Multiple Instance Learning with Attention Modeling for Categorical Speech Emotion Recognition. - Shuiyang Mao; P. C. Ching; C.-C. Jay Kuo; Tan Lee 001 (INTERSPEECH, 2020)

Emotion Profile Refinery for Speech Emotion Classification. - Shuiyang Mao; Pak-Chung Ching; Tan Lee 001 (INTERSPEECH, 2020)

EigenEmo: Spectral Utterance Representation Using Dynamic Mode Decomposition for Speech Emotion Classification. - Shuiyang Mao; P. C. Ching; Tan Lee 001 (INTERSPEECH, 2020)

Enhancing Segment-Based Speech Emotion Recognition by Deep Self-Learning. - Shuiyang Mao; P. C. Ching; Tan Lee 001 (CoRR, 2021)

Enhancing Segment-Based Speech Emotion Recognition by Iterative Self-Learning. - Shuiyang Mao; P. C. Ching; Tan Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

SpeechAccentLLM: A Unified Framework for Foreign Accent Conversion and Text to Speech. - Zhuangfei Cheng; Guangyan Zhang; Zehai Tu; Yangyang Song; Shuiyang Mao; Xiaoqi Jiao; Jingyu Li; Yiwen Guo; Jiasong Wu (CoRR, 2025)