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Hong-You Chen

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Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs

Jan 08, 2024
Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Berger-Wolf, Charles Stewart, Song Gao, Wei-Lun Chao, Yu Su

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Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data

Nov 02, 2023
Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao

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Federated Learning of Shareable Bases for Personalization-Friendly Image Classification

Apr 16, 2023
Hong-You Chen, Jike Zhong, Mingda Zhang, Xuhui Jia, Hang Qi, Boqing Gong, Wei-Lun Chao, Li Zhang

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Learning Fractals by Gradient Descent

Mar 14, 2023
Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao

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Making Batch Normalization Great in Federated Deep Learning

Mar 12, 2023
Jike Zhong, Hong-You Chen, Wei-Lun Chao

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Gradual Domain Adaptation without Indexed Intermediate Domains

Jul 11, 2022
Hong-You Chen, Wei-Lun Chao

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On Pre-Training for Federated Learning

Jun 23, 2022
Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao

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On Bridging Generic and Personalized Federated Learning

Jul 02, 2021
Hong-You Chen, Wei-Lun Chao

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FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning

Sep 04, 2020
Hong-You Chen, Wei-Lun Chao

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