| 2024 | ICASSP | Posterior Variance-Parameterised Gaussian Dropout: Improving Disentangled Sequential Autoencoders for Zero-Shot Voice Conversion. | Yin-Jyun Luo, Simon Dixon |
| 2024 | ICASSP | Unsupervised Pitch-Timbre Disentanglement of Musical Instruments Using a Jacobian Disentangled Sequential Autoencoder. | Yin-Jyun Luo, Sebastian Ewert, Simon Dixon |
| 2022 | IJCAI | Towards Robust Unsupervised Disentanglement of Sequential Data - A Case Study Using Music Audio. | Yin-Jyun Luo, Sebastian Ewert, Simon Dixon |
| 2021 | IJCNN | Revisiting the Onsets and Frames Model with Additive Attention. | Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans |
| 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 |
| 2020 | ICPR | The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy. | Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans |
| 2020 | IJCNN | Regression-based Music Emotion Prediction using Triplet Neural Networks. | Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans |
| 2019 | CogSci | Untangling indices of emotion in music using neural networks. | Dorien Herremans, Kin Wai Cheuk, Yin-Jyun Luo, Kat Agres |
| 2018 | ICASSP | Singing Voice Correction Using Canonical Time Warping. | Yin-Jyun Luo, Ming-Tso Chen, Tai-Shih Chi, Li Su |