TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training. - Huaizhen Tang; Xulong Zhang 001; Jianzong Wang; Ning Cheng 001; Zhen Zeng; Edward Xiao; Jing Xiao 006 (ASRU, 2021)

Avqvc: One-Shot Voice Conversion By Vector Quantization With Applying Contrastive Learning. - Huaizhen Tang; Xulong Zhang 001; Jianzong Wang; Ning Cheng 001; Jing Xiao 006 (ICASSP, 2022)

Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion. - Sicheng Yang; Methawee Tantrawenith; Haolin Zhuang; Zhiyong Wu 001; Aolan Sun; Jianzong Wang; Ning Cheng 001; Huaizhen Tang; Xintao Zhao; Jie Wang; Helen Meng (INTERSPEECH, 2022)

Learning Speech Representations with Flexible Hidden Feature Dimensions. - Huaizhen Tang; Xulong Zhang 001; Jianzong Wang; Ning Cheng 001; Jing Xiao 006 (ICASSP, 2023)

VQ-CL: Learning Disentangled Speech Representations with Contrastive Learning and Vector Quantization. - Huaizhen Tang; Xulong Zhang 001; Jianzong Wang; Ning Cheng 001; Jing Xiao 006 (ICASSP, 2023)

PMVC: Data Augmentation-Based Prosody Modeling for Expressive Voice Conversion. - Yimin Deng; Huaizhen Tang; Xulong Zhang 001; Jianzong Wang; Ning Cheng 001; Jing Xiao 006 (ACM Multimedia, 2023)

Learning Disentangled Speech Representations with Contrastive Learning and Time-Invariant Retrieval. - Yimin Deng; Huaizhen Tang; Xulong Zhang 001; Ning Cheng 001; Jing Xiao 006; Jianzong Wang (ICASSP, 2024)