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Hong-You Chen
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2020 – today
- 2024
- [j1]Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang:
Jigsaw Game: Federated Clustering. Trans. Mach. Learn. Res. 2024 (2024) - [i16]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) - [i15]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) - [i14]Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang:
Jigsaw Game: Federated Clustering. CoRR abs/2407.12764 (2024) - [i13]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) - [i12]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) - [i11]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) - [i10]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) - 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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last updated on 2024-10-18 19:32 CEST by the dblp team
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