| Robust sequence-to-sequence acoustic modeling with stepwise monotonic attention for neural TTS M He, Y Deng, L He Interspeech 2019, 2019 | 96 | 2019 |
| Neural subgraph isomorphism counting X Liu, H Pan, M He, Y Song, X Jiang, L Shang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 72 | 2020 |
| Time-evolving Text Classification with Deep Neural Networks Y He, J Li, Y Song, M He, H Peng IJCAI 18, 2241-2247, 2018 | 50 | 2018 |
| Multilingual Byte2Speech Models for Scalable Low-resource Speech Synthesis M He, J Yang, L He, FK Soong arXiv preprint arXiv:2103.03541, 2021 | 26* | 2021 |
| Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding M He, PN Garner Interspeech 2023, 2023 | 18 | 2023 |
| Acquiring and modelling abstract commonsense knowledge via conceptualization M He, T Fang, W Wang, Y Song arXiv preprint arXiv:2206.01532, 2022 | 16 | 2022 |
| On the role of conceptualization in commonsense knowledge graph construction M He, Y Song, K Xu, D Yu arXiv preprint arXiv:2003.03239, 2020 | 12 | 2020 |
| The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation M He, PN Garner Findings of EMNLP 2023, 2023 | 2 | 2023 |
| Neural lexicon reader: Reduce pronunciation errors in end-to-end tts by leveraging external textual knowledge M He, J Yang, L He, FK Soong Interspeech 2022, 2021 | 1 | 2021 |
| The Idiap Speech Synthesis System for the Blizzard Challenge 2023 H Chen, M He, LC de Gibson, PN Garner Proc. 18th Blizzard Challenge Workshop, 93-97, 0 | | |
