| FEDBE: Making Bayesian Model Ensemble Applicable to Federated Learning HY Chen, WL Chao 2021 International Conference on Learning Representations (ICLR), 2021 | 233 | 2021 |
| On Bridging Generic and Personalized Federated Learning for Image Classification HY Chen, WL Chao 2022 International Conference on Learning Representations (ICLR), 2022 | 135 | 2022 |
| Identifying and compensating for feature deviation in imbalanced deep learning HJ Ye, HY Chen, DC Zhan, WL Chao arXiv preprint arXiv:2001.01385, 2020 | 85 | 2020 |
| On the Importance and Applicability of Pre-Training for Federated Learning HY Chen, CH Tu, Z Li, HW Shen, WL Chao 2023 International Conference on Learning Representations (ICLR), 2023 | 74* | 2023 |
| Gradual domain adaptation without indexed intermediate domains HY Chen, WL Chao Advances in Neural Information Processing Systems (NeurIPS) 34, 8201-8214, 2021 | 36 | 2021 |
| 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 | 25 | 2019 |
| 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 | 10 | 2020 |
| 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 | 8 | 2018 |
| Making Batch Normalization Great in Federated Deep Learning J Zhong*, HY Chen*, WL Chao NeurIPS 2023 Workshop, 2023 | 7 | 2023 |
| Nested variance estimating vae/gan for face generation HY Chen, CJ Lu 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 6 | 2019 |
| 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 | 5 | 2019 |
| Federated Learning of Shareable Bases for Personalization-Friendly Image Classification HY Chen*, J Zhong*, M Zhang, X Jia, H Qi, B Gong, WL Chao, L Zhang arXiv preprint arXiv:2304.07882, 2023 | 4 | 2023 |
| Understanding Federated Learning through Loss Landscape Visualizations: A Pilot Study Z Li, HY Chen, HW Shen, WL Chao NeurIPS 2022 Workshop on Federated Learning: Recent Advances and New Challenges, 2022 | 3 | 2022 |
| Train-Once-for-All Personalization HY Chen, Y Li, Y Cui, M Zhang, WL Chao, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data CH Tu*, HY Chen*, Z Mai, J Zhong, V Pahuja, T Berger-Wolf, S Gao, ... NeurIPS 2023, 2023 | 1 | 2023 |
| Learning Fractals by Gradient Descent CH Tu*, HY Chen*, D Carlyn, WL Chao AAAI 2023, 2023 | 1 | 2023 |
| Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models H Zhang, H You, P Dufter, B Zhang, C Chen, HY Chen, TJ Fu, WY Wang, ... arXiv preprint arXiv:2404.07973, 2024 | | 2024 |
| Personalized Federated Learning Via Sharable Basis Models HY Chen, B Gong, M Zhang, H Qi, X Jia, L Zhang US Patent App. 18/474,934, 2024 | | 2024 |
