Hong-You Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Link Prediction

Trec Test Collections

Top Venues

Publications

Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang
Jigsaw Game: Federated Clustering. Trans. Mach. Learn. Res. 2024 (2024)
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 (2024)
Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang
Jigsaw Game: Federated Clustering. CoRR (2024)
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 (2024)
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 (2024)
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)
Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
Learning Fractals by Gradient Descent. CoRR (2023)
Jike Zhong, Hong-You Chen, Wei-Lun Chao
Making Batch Normalization Great in Federated Deep Learning. CoRR (2023)
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)
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 (2023)
Hong-You Chen, Yandong Li, Yin Cui, Mingda Zhang, Wei-Lun Chao, Li Zhang
Train-Once-for-All Personalization. CVPR (2023)
Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
Learning Fractals by Gradient Descent. AAAI (2023)
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 (2023)
Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao
On Pre-Training for Federated Learning. CoRR (2022)
Hong-You Chen, Wei-Lun Chao
Gradual Domain Adaptation without Indexed Intermediate Domains. CoRR (2022)
Hong-You Chen, Wei-Lun Chao
On Bridging Generic and Personalized Federated Learning for Image Classification. ICLR (2022)
Hong-You Chen, Wei-Lun Chao
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning. ICLR (2021)
Hong-You Chen, Wei-Lun Chao
On Bridging Generic and Personalized Federated Learning. CoRR (2021)
Hong-You Chen, Wei-Lun Chao
Gradual Domain Adaptation without Indexed Intermediate Domains. NeurIPS (2021)
Hong-You Chen, Sz-Han Yu, Shou-de Lin
Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs. ACL (2020)
Han-Jia Ye, Hong-You Chen, De-Chuan Zhan, Wei-Lun Chao
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning. CoRR (2020)
Hong-You Chen, Wei-Lun Chao
FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning. CoRR (2020)
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)
Hong-You Chen, Chi-Jen Lu
Nested Variance Estimating VAE/GAN for Face Generation. IJCNN (2019)
Hong-You Chen, Chin-Hua Hu, Leila Wehbe, Shou-De Lin
Self-Discriminative Learning for Unsupervised Document Embedding. NAACL-HLT (1) (2019)
Hong-You Chen, Cheng-Syuan Lee, Keng-Te Liao, Shou-de Lin
Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings. EMNLP (2018)