| 2024 | BMVC | InSpaceType: Dataset and Benchmark for Reconsidering Cross-Space Type Performance in Indoor Monocular Depth. | Cho-Ying Wu, Quankai Gao, Chin-Cheng Hsu, Te-Lin Wu, Jing-Wen Chen, Ulrich Neumann |
| 2022 | CVPR | Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices? | Cho-Ying Wu, Chin-Cheng Hsu, Ulrich Neumann |
| 2021 | ICASSP | Adversarial Defense for Deep Speaker Recognition Using Hybrid Adversarial Training. | Monisankha Pal, Arindam Jati, Raghuveer Peri, Chin-Cheng Hsu, Wael AbdAlmageed, Shrikanth Narayanan |
| 2020 | ICASSP | Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders. | Yin-Jyun Luo, Chin-Cheng Hsu, Kat Agres, Dorien Herremans |
| 2017 | ICASSP | Discriminative autoencoders for speaker verification. | Hung-Shin Lee, Yu-Ding Lu, Chin-Cheng Hsu, Yu Tsao, Hsin-Min Wang, Shyh-Kang Jeng |
| 2017 | ICASSP | A locally linear embbeding based postfiltering approach for speech enhancement. | Yi-Chiao Wu, Hsin-Te Hwang, Syu-Siang Wang, Chin-Cheng Hsu, Ying-Hui Lai, Yu Tsao, Hsin-Min Wang |
| 2017 | Interspeech | Voice Conversion from Unaligned Corpora Using Variational Autoencoding Wasserstein Generative Adversarial Networks. | Chin-Cheng Hsu, Hsin-Te Hwang, Yi-Chiao Wu, Yu Tsao, Hsin-Min Wang |
| 2017 | Interspeech | A Post-Filtering Approach Based on Locally Linear Embedding Difference Compensation for Speech Enhancement. | Yi-Chiao Wu, Hsin-Te Hwang, Syu-Siang Wang, Chin-Cheng Hsu, Yu Tsao, Hsin-Min Wang |
| 2016 | Interspeech | Locally Linear Embedding for Exemplar-Based Spectral Conversion. | Yi-Chiao Wu, Hsin-Te Hwang, Chin-Cheng Hsu, Yu Tsao, Hsin-Min Wang |