| 2022 | ICASSP | Improving Recognition-Synthesis Based any-to-one Voice Conversion with Cyclic Training. | Yan-Nian Chen, Li-Juan Liu, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling |
| 2021 | Interspeech | Adversarial Voice Conversion Against Neural Spoofing Detectors. | Yi-Yang Ding, Li-Juan Liu, Yu Hu, Zhen-Hua Ling |
| 2019 | ICASSP | Improving Sequence-to-sequence Voice Conversion by Adding Text-supervision. | Jing-Xuan Zhang, Zhen-Hua Ling, Yuan Jiang, Li-Juan Liu, Chen Liang, Li-Rong Dai |
| 2018 | Interspeech | WaveNet Vocoder with Limited Training Data for Voice Conversion. | Li-Juan Liu, Zhen-Hua Ling, Yuan Jiang, Ming Zhou, Li-Rong Dai |
| 2017 | ASRU | The USTC system for blizzard machine learning challenge 2017-ES2. | Ya-Jun Hu, Li-Juan Liu, Chuang Ding, Zhen-Hua Ling, Li-Rong Dai |
| 2017 | ASRU | The iFLYTEK system for blizzard machine learning challenge 2017-ES1. | Li-Juan Liu, Chuang Ding, Ya-Jun Hu, Zhen-Hua Ling, Yuan Jiang, Ming Zhou, Si Wei |
| 2016 | Interspeech | The USTC System for Voice Conversion Challenge 2016: Neural Network Based Approaches for Spectrum, Aperiodicity and F | Ling-Hui Chen, Li-Juan Liu, Zhen-Hua Ling, Yuan Jiang, Li-Rong Dai |
| 2015 | ICASSP | Spectral conversion using deep neural networks trained with multi-source speakers. | Li-Juan Liu, Ling-Hui Chen, Zhen-Hua Ling, Li-Rong Dai |
| 2014 | ICASSP | Using bidirectional associative memories for joint spectral envelope modeling in voice conversion. | Li-Juan Liu, Ling-Hui Chen, Zhen-Hua Ling, Li-Rong Dai |