| 2023 | ASRU | Variational Gaussian Process Data Uncertainty. | Jeremy Heng Meng Wong, Huayun Zhang, Nancy F. Chen |
| 2022 | Interspeech | Variations of multi-task learning for spoken language assessment. | Jeremy Heng Meng Wong, Huayun Zhang, Nancy F. Chen |
| 2021 | ICASSP | Ensemble Combination between Different Time Segmentations. | Jeremy Heng Meng Wong, Dimitrios Dimitriadis, Ken'ichi Kumatani, Yashesh Gaur, George Polovets, Partha Parthasarathy, Eric Sun, Jinyu Li, Yifan Gong |
| 2021 | ICASSP | Hidden Markov Model Diarisation with Speaker Location Information. | Jeremy Heng Meng Wong, Xiong Xiao, Yifan Gong |
| 2020 | ICASSP | High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model. | Jinyu Li, Rui Zhao, Eric Sun, Jeremy Heng Meng Wong, Amit Das, Zhong Meng, Yifan Gong |
| 2020 | Interspeech | Combination of End-to-End and Hybrid Models for Speech Recognition. | Jeremy Heng Meng Wong, Yashesh Gaur, Rui Zhao, Liang Lu, Eric Sun, Jinyu Li, Yifan Gong |
| 2019 | ASRU | Learning Between Different Teacher and Student Models in ASR. | Jeremy Heng Meng Wong, Mark J. F. Gales, Yu Wang |
| 2018 | ICASSP | Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription. | Yu Wang, Xie Chen, Mark J. F. Gales, Anton Ragni, Jeremy Heng Meng Wong |
| 2017 | ASRU | Multi-task ensembles with teacher-student training. | Jeremy Heng Meng Wong, Mark J. F. Gales |
| 2017 | Interspeech | Student-Teacher Training with Diverse Decision Tree Ensembles. | Jeremy Heng Meng Wong, Mark J. F. Gales |
| 2016 | Interspeech | Sequence Student-Teacher Training of Deep Neural Networks. | Jeremy Heng Meng Wong, Mark J. F. Gales |