Design and evaluate immersive learning experience for massive open online courses (MOOCs) HHS Ip, C Li, S Leoni, Y Chen, KF Ma, CH Wong, Q Li IEEE Transactions on Learning Technologies 12 (4), 503-515, 2018 | 51 | 2018 |
Virtual mixup training for unsupervised domain adaptation X Mao, Y Ma, Z Yang, Y Chen, Q Li arXiv preprint arXiv:1905.04215, 2019 | 50 | 2019 |
Multi-task learning for abstractive and extractive summarization Y Chen, Y Ma, X Mao, Q Li Data Science and Engineering 4, 14-23, 2019 | 47 | 2019 |
An investigation of few-shot learning in spoken term classification Y Chen, T Ko, L Shang, X Chen, X Jiang, Q Li INTERSPEECH, 2582-2586, 2020 | 32* | 2020 |
Wide‐Bandwidth Nanocomposite‐Sensor Integrated Smart Mask for Tracking Multiphase Respiratory Activities J Suo, Y Liu, C Wu, M Chen, Q Huang, Y Liu, K Yao, Y Chen, Q Pan, ... Advanced Science 9 (31), 2203565, 2022 | 27 | 2022 |
Prototypical networks for small footprint text-independent speaker verification T Ko, Y Chen, Q Li IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020 | 22 | 2020 |
MetaMix: improved meta-learning with interpolation based consistency regularization Y Chen, Y Ma, T Ko, J Wang, Q Li International Conference on Pattern Recognition (ICPR), 407-414, 2020 | 9 | 2020 |
Collaborative learning of bidirectional decoders for unsupervised text style transfer Y Ma, Y Chen, X Mao, Q Li Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 6 | 2021 |
Abstractive summarization with the aid of extractive summarization Y Chen, Y Ma, X Mao, Q Li Web and Big Data: Second International Joint Conference, APWeb-WAIM 2018 …, 2018 | 6 | 2018 |
Wish I can feel what you feel: a neural approach for empathetic response generation Y Chen, C Liang Findings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 5 | 2022 |
A meta-learning approach for user-defined spoken term classification with varying classes and examples Y Chen, T Ko, J Wang INTERSPEECH, 4224-4228, 2021 | 3 | 2021 |
Mixing up real samples and adversarial samples for semi-supervised learning Y Ma, X Mao, Y Chen, Q Li International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 3 | 2020 |
Generating adversarial examples by adversarial networks for semi-supervised learning Y Ma, X Mao, Y Chen, Q Li International Conference on Web Information Systems Engineering, 115-129, 2020 | 1 | 2020 |
Speech-based clinical depression screening: an empirical study Y Chen, C Xu, C Liang, Y Tao, C Shi arXiv preprint arXiv:2406.03510, 2024 | | 2024 |