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Hong-You Chen
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FEDBE: Making Bayesian Model Ensemble Applicable to Federated Learning
HY Chen, WL Chao
2021 International Conference on Learning Representations, 2021
902021
Identifying and compensating for feature deviation in imbalanced deep learning
HJ Ye, HY Chen, DC Zhan, WL Chao
arXiv preprint arXiv:2001.01385, 2020
362020
On Bridging Generic and Personalized Federated Learning for Image Classification
HY Chen, WL Chao
2022 International Conference on Learning Representations, 2022
292022
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
202019
Gradual domain adaptation without indexed intermediate domains
HY Chen, WL Chao
Advances in Neural Information Processing Systems 34, 8201-8214, 2021
152021
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
82020
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, 2022
7*2022
Nested variance estimating vae/gan for face generation
HY Chen, CJ Lu
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
52019
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
42019
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
42018
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
2022
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Articles 1–11