Chen, Hong-You

16 publications

ICML 2025 Contrastive Localized Language-Image Pre-Training Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, Zhe Gan

CVPR 2025 Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Quang-Huy Nguyen, Li Zhang, Wei-Lun Chao

ICLR 2025 MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-Tuning Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang

ICLR 2025 Revisit Large-Scale Image-Caption Data in Pre-Training Multimodal Foundation Models Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Wenze Hu, Juan Lao Tebar, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang

NeurIPS 2024 FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao

NeurIPS 2024 Fine-Tuning Is Fine, if Calibrated Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao

TMLR 2024 Jigsaw Game: Federated Clustering Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang

NeurIPS 2023 Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao

AAAI 2023 Learning Fractals by Gradient Descent Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao

NeurIPSW 2023 Making Batch Normalization Great in Federated Deep Learning Jike Zhong, Hong-You Chen, Wei-Lun Chao

ICLR 2023 On the Importance and Applicability of Pre-Training for Federated Learning Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han Wei Shen, Wei-Lun Chao

CVPR 2023 Train-Once-for-All Personalization Hong-You Chen, Yandong Li, Yin Cui, Mingda Zhang, Wei-Lun Chao, Li Zhang

ICLR 2022 On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen, Wei-Lun Chao

NeurIPSW 2022 Understanding Federated Learning Through Loss Landscape Visualizations: A Pilot Study Ziwei Li, Hong-You Chen, Han Wei Shen, Wei-Lun Chao

ICLR 2021 FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen, Wei-Lun Chao

NeurIPS 2021 Gradual Domain Adaptation Without Indexed Intermediate Domains Hong-You Chen, Wei-Lun Chao