FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling B Zhang, Y Wang, W Hou, H Wu, J Wang, M Okumura, T Shinozaki Advances in Neural Information Processing Systems 34 (2021), 2021 | 830 | 2021 |
Freematch: Self-adaptive thresholding for semi-supervised learning Y Wang, H Chen, Q Heng, W Hou, Y Fan, Z Wu, J Wang, M Savvides, ... arXiv preprint arXiv:2205.07246, 2022 | 266 | 2022 |
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective J Wang, X Hu, W Hou, H Chen, R Zheng, Y Wang, L Yang, H Huang, ... arXiv preprint arXiv:2302.12095, 2023 | 197 | 2023 |
Usb: A unified semi-supervised learning benchmark for classification Y Wang, H Chen, Y Fan, W Sun, R Tao, W Hou, R Wang, L Yang, Z Zhou, ... Advances in Neural Information Processing Systems 35, 3938-3961, 2022 | 115 | 2022 |
Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task Learning W Hou, Y Dong, B Zhuang, L Yang, J Shi, T Shinozaki Proc. Interspeech 2020, 1037-1041, 2020 | 78 | 2020 |
Large Language Models Understand and Can Be Enhanced by Emotional Stimuli C Li, J Wang, Y Zhang, K Zhu, W Hou, J Lian, F Luo, Q Yang, X Xie arXiv preprint arXiv:2307.11760, 2023 | 76 | 2023 |
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition W Hou, H Zhu, Y Wang, J Wang, T Qin, R Xu, T Shinozaki IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2021 | 66 | 2021 |
Meta-Adapter: Efficient Cross-Lingual Adaptation With Meta-Learning W Hou, Y Wang, S Gao, T Shinozaki ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 30 | 2021 |
Margin calibration for long-tailed visual recognition Y Wang, B Zhang, W Hou, Z Wu, J Wang, T Shinozaki Asian Conference on Machine Learning, 1101-1116, 2023 | 26 | 2023 |
Emotionprompt: Leveraging psychology for large language models enhancement via emotional stimulus C Li, J Wang, K Zhu, Y Zhang, W Hou, J Lian, X Xie arXiv e-prints, arXiv: 2307.11760, 2023 | 25 | 2023 |
Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching W Hou, J Wang, X Tan, T Qin, T Shinozaki Proc. Interspeech 2021, 3425--3429, 2021 | 19 | 2021 |
Spoken Language Acquisition Based on Reinforcement Learning and Word Unit Segmentation S Gao, W Hou, T Tanaka, T Shinozaki ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 13 | 2020 |
Sound-Image Grounding Based Focusing Mechanism for Efficient Automatic Spoken Language Acquisition M Zhang, T Tanaka, W Hou, S Gao, T Shinozaki Proc. Interspeech 2020, 4183-4187, 2020 | 11 | 2020 |
Boosting Cross-Domain Speech Recognition with Self-Supervision H Zhu, G Cheng, J Wang, W Hou, P Zhang, Y Yan IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2022 | 9 | 2022 |
Large language models understand and can be enhanced by emotional stimuli. arXiv C Li, J Wang, Y Zhang, K Zhu, W Hou, J Lian, F Luo, Q Yang, X Xie arXiv preprint arXiv:2307.11760, 2023 | 7 | 2023 |
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction Y Wang, H Wu, A Liu, W Hou, Z Wu, J Wang, T Shinozaki, M Okumura, ... arXiv preprint arXiv:2208.08280, 2022 | 5 | 2022 |
The Good, The Bad, and Why: Unveiling Emotions in Generative AI C Li, J Wang, Y Zhang, K Zhu, X Wang, W Hou, J Lian, F Luo, Q Yang, ... arXiv preprint arXiv:2312.11111, 2023 | 4 | 2023 |
Automatic Spoken Language Acquisition Based on Observation and Dialogue R Komatsu, S Gao, W Hou, M Zhang, T Tanaka, K Toyoda, Y Kimura, ... IEEE Journal of Selected Topics in Signal Processing 16 (6), 1480-1492, 2022 | 4 | 2022 |