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2020 – today
- 2025
[i21]Xinze Wang, Chen Chen, Yinfei Yang, Hong-You Chen, Bowen Zhang, Aditya Pal, Xiangxin Zhu, Xianzhi Du:
CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling. CoRR abs/2502.00965 (2025)- [i20]Changchang Yin, Hong-You Chen, Wei-Lun Chao, Ping Zhang:
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation. CoRR abs/2503.04946 (2025) - 2024
- [j1]Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang:
Jigsaw Game: Federated Clustering. Trans. Mach. Learn. Res. 2024 (2024) - [c15]Vardaan Pahuja
, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su:
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs. CIKM 2024: 1825-1835 - [c14]Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao:
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction. NeurIPS 2024 - [c13]Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Fine-Tuning is Fine, if Calibrated. NeurIPS 2024 - [i19]Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su:
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. CoRR abs/2401.00608 (2024) - [i18]Haotian Zhang, Haoxuan You, Philipp Dufter, Bowen Zhang, Chen Chen, Hong-You Chen, Tsu-Jui Fu, William Yang Wang, Shih-Fu Chang, Zhe Gan, Yinfei Yang:
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models. CoRR abs/2404.07973 (2024) - [i17]Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang:
Jigsaw Game: Federated Clustering. CoRR abs/2407.12764 (2024) - [i16]Mingze Xu, Mingfei Gao, Zhe Gan, Hong-You Chen, Zhengfeng Lai, Haiming Gang, Kai Kang, Afshin Dehghan:
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models. CoRR abs/2407.15841 (2024) - [i15]Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao:
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction. CoRR abs/2409.11509 (2024) - [i14]Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Fine-Tuning is Fine, if Calibrated. CoRR abs/2409.16223 (2024) - [i13]Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Li Zhang, Wei-Lun Chao:
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition. CoRR abs/2409.16434 (2024) - [i12]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:
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. CoRR abs/2409.20566 (2024) - [i11]Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Juan Lao Tebar, Wenze Hu, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang:
Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models. CoRR abs/2410.02740 (2024) - [i10]Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, Zhe Gan:
Contrastive Localized Language-Image Pre-Training. CoRR abs/2410.02746 (2024) - 2023
- [c12]Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao:
Learning Fractals by Gradient Descent. AAAI 2023: 2456-2464 - [c11]Hong-You Chen, Yandong Li, Yin Cui, Mingda Zhang, Wei-Lun Chao, Li Zhang:
Train-Once-for-All Personalization. CVPR 2023: 11818-11827 - [c10]Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao:
On the Importance and Applicability of Pre-Training for Federated Learning. ICLR 2023 - [c9]Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. NeurIPS 2023 - [i9]Jike Zhong, Hong-You Chen, Wei-Lun Chao:
Making Batch Normalization Great in Federated Deep Learning. CoRR abs/2303.06530 (2023) - [i8]Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao:
Learning Fractals by Gradient Descent. CoRR abs/2303.12722 (2023) - [i7]Hong-You Chen, Jike Zhong, Mingda Zhang, Xuhui Jia, Hang Qi, Boqing Gong, Wei-Lun Chao, Li Zhang:
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification. CoRR abs/2304.07882 (2023) - [i6]Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. CoRR abs/2311.01420 (2023) - 2022
- [c8]Hong-You Chen, Wei-Lun Chao:
On Bridging Generic and Personalized Federated Learning for Image Classification. ICLR 2022 - [i5]Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao:
On Pre-Training for Federated Learning. CoRR abs/2206.11488 (2022) - [i4]Hong-You Chen, Wei-Lun Chao:
Gradual Domain Adaptation without Indexed Intermediate Domains. CoRR abs/2207.04587 (2022) - 2021
- [c7]Hong-You Chen, Wei-Lun Chao:
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning. ICLR 2021 - [c6]Hong-You Chen, Wei-Lun Chao:
Gradual Domain Adaptation without Indexed Intermediate Domains. NeurIPS 2021: 8201-8214 - [i3]Hong-You Chen, Wei-Lun Chao:
On Bridging Generic and Personalized Federated Learning. CoRR abs/2107.00778 (2021) - 2020
- [c5]Hong-You Chen, Sz-Han Yu, Shou-de Lin:
Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs. ACL 2020: 2865-2871 - [i2]Han-Jia Ye, Hong-You Chen, De-Chuan Zhan, Wei-Lun Chao:
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning. CoRR abs/2001.01385 (2020) - [i1]Hong-You Chen, Wei-Lun Chao:
FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning. CoRR abs/2009.01974 (2020)
2010 – 2019
- 2019
- [c4]Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu, Shou-De Lin:
Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training. EMNLP/IJCNLP (1) 2019: 3577-3582 - [c3]Hong-You Chen, Chi-Jen Lu:
Nested Variance Estimating VAE/GAN for Face Generation. IJCNN 2019: 1-8 - [c2]Hong-You Chen, Chin-Hua Hu, Leila Wehbe, Shou-De Lin:
Self-Discriminative Learning for Unsupervised Document Embedding. NAACL-HLT (1) 2019: 2465-2474 - 2018
- [c1]Hong-You Chen, Cheng-Syuan Lee, Keng-Te Liao, Shou-de Lin:
Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings. EMNLP 2018: 4834-4839
Coauthor Index
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