| FEDBE: Making Bayesian Model Ensemble Applicable to Federated Learning HY Chen, WL Chao 2021 International Conference on Learning Representations, 2020 | 50 | 2020 |
| Identifying and compensating for feature deviation in imbalanced deep learning HJ Ye, HY Chen, DC Zhan, WL Chao arXiv preprint arXiv:2001.01385, 2020 | 23 | 2020 |
| Multiple text style transfer by using word-level conditional generative adversarial network with two-phase training CT Lai, YT Hong, HY Chen, CJ Lu, SD Lin Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 18 | 2019 |
| On Bridging Generic and Personalized Federated Learning for Image Classification HY Chen, WL Chao International Conference on Learning Representations, 2021 | 7* | 2021 |
| Gradual domain adaptation without indexed intermediate domains HY Chen, WL Chao Advances in Neural Information Processing Systems 34, 8201-8214, 2021 | 6 | 2021 |
| Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs HY Chen, SH Yu, SD Lin Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 6 | 2020 |
| Nested variance estimating vae/gan for face generation HY Chen, CJ Lu 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 5 | 2019 |
| Word relation autoencoder for unseen hypernym extraction using word embeddings HY Chen, CS Lee, KT Liao, SD Lin Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 4 | 2018 |
| Self-Discriminative Learning for Unsupervised Document Embedding HY Chen, CH Hu, L Wehbe, SD Lin Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 3 | 2019 |
| On Pre-Training for Federated Learning HY Chen, CH Tu, Z Li, HW Shen, WL Chao arXiv preprint arXiv:2206.11488, 2022 | | 2022 |
