Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings. - Hong-You Chen; Cheng-Syuan Lee; Keng-Te Liao; Shou-de Lin (EMNLP, 2018)

Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training. - Chih-Te Lai; Yi-Te Hong; Hong-You Chen; Chi-Jen Lu; Shou-De Lin (EMNLP/IJCNLP (1), 2019)

Nested Variance Estimating VAE/GAN for Face Generation. - Hong-You Chen; Chi-Jen Lu (IJCNN, 2019)

Self-Discriminative Learning for Unsupervised Document Embedding. - Hong-You Chen; Chin-Hua Hu; Leila Wehbe; Shou-De Lin (NAACL-HLT (1), 2019)

Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs. - Hong-You Chen; Sz-Han Yu; Shou-de Lin (ACL, 2020)

Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning. - Han-Jia Ye; Hong-You Chen; De-Chuan Zhan; Wei-Lun Chao (CoRR, 2020)

FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning. - Hong-You Chen; Wei-Lun Chao (CoRR, 2020)

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

Gradual Domain Adaptation without Indexed Intermediate Domains. - Hong-You Chen; Wei-Lun Chao (NeurIPS, 2021)

On Bridging Generic and Personalized Federated Learning. - Hong-You Chen; Wei-Lun Chao (CoRR, 2021)

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

On Pre-Training for Federated Learning. - Hong-You Chen; Cheng-Hao Tu 001; Ziwei Li; Han-Wei Shen; Wei-Lun Chao (CoRR, 2022)

Learning Fractals by Gradient Descent. - Cheng-Hao Tu 001; Hong-You Chen; David Carlyn; Wei-Lun Chao (AAAI, 2023)

Train-Once-for-All Personalization. - Hong-You Chen; Yandong Li; Yin Cui; Mingda Zhang; Wei-Lun Chao; Li Zhang 003 (CVPR, 2023)

On the Importance and Applicability of Pre-Training for Federated Learning. - Hong-You Chen; Cheng-Hao Tu 001; Ziwei Li; Han-Wei Shen; Wei-Lun Chao (ICLR, 2023)

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. - Cheng-Hao Tu 001; Hong-You Chen; Zheda Mai; Jike Zhong; Vardaan Pahuja; Tanya Y. Berger-Wolf; Song Gao 001; Charles V. Stewart; Yu Su 001; Wei-Lun Chao (NeurIPS, 2023)

Making Batch Normalization Great in Federated Deep Learning. - Jike Zhong; Hong-You Chen; Wei-Lun Chao (CoRR, 2023)

Federated Learning of Shareable Bases for Personalization-Friendly Image Classification. - Hong-You Chen; Jike Zhong; Mingda Zhang; Xuhui Jia; Hang Qi; Boqing Gong; Wei-Lun Chao; Li Zhang 003 (CoRR, 2023)

Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs. - Vardaan Pahuja; Weidi Luo; Yu Gu 016; Cheng-Hao Tu 001; Hong-You Chen; Tanya Y. Berger-Wolf; Charles V. Stewart; Song Gao 001; Wei-Lun Chao; Yu Su 001 (CIKM, 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 016; Cheng-Hao Tu 001; Hong-You Chen; Vardaan Pahuja; Tanya Y. Berger-Wolf; Song Gao 001; Charles V. Stewart; Yu Su 001; Wei-Lun Chao (NeurIPS, 2024)

Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. - Vardaan Pahuja; Weidi Luo; Yu Gu 016; Cheng-Hao Tu 001; Hong-You Chen; Tanya Y. Berger-Wolf; Charles V. Stewart; Song Gao 001; Wei-Lun Chao; Yu Su 001 (CoRR, 2024)

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models. - Haotian Zhang 005; Haoxuan You; Philipp Dufter; Bowen Zhang 002; Chen Chen 005; Hong-You Chen; Tsu-Jui Fu; William Yang Wang; Shih-Fu Chang; Zhe Gan; Yinfei Yang (CoRR, 2024)

SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models. - Mingze Xu; Mingfei Gao; Zhe Gan; Hong-You Chen; Zhengfeng Lai; Haiming Gang; Kai Kang; Afshin Dehghan (CoRR, 2024)

Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition. - Zheda Mai; Ping Zhang 016; Cheng-Hao Tu 001; Hong-You Chen; Li Zhang 003; Wei-Lun Chao (CoRR, 2024)

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. - Haotian Zhang 005; Mingfei Gao; Zhe Gan; Philipp Dufter; Nina Wenzel; Forrest Huang; Dhruti Shah; Xianzhi Du; Bowen Zhang 002; Yanghao Li; Sam Dodge; Keen You; et al. (CoRR, 2024)

Contrastive Localized Language-Image Pre-Training. - Hong-You Chen; Zhengfeng Lai; Haotian Zhang 005; Xinze Wang; Marcin Eichner; Keen You; Meng Cao; Bowen Zhang 002; Yinfei Yang; Zhe Gan (CoRR, 2024)

Jigsaw Game: Federated Clustering. - Jinxuan Xu; Hong-You Chen; Wei-Lun Chao; Yuqian Zhang (Trans. Mach. Learn. Res., 2024)

Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition. - Zheda Mai; Ping Zhang 016; Cheng-Hao Tu 001; Hong-You Chen; Quang-Huy Nguyen; Li Zhang 003; Wei-Lun Chao (CVPR, 2025)

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models. - Zhengfeng Lai; Vasileios Saveris; Chen Chen 005; Hong-You Chen; Haotian Zhang 005; Bowen Zhang 002; Wenze Hu; Juan Lao Tebar; Zhe Gan; Peter Grasch; Meng Cao; Yinfei Yang (ICLR, 2025)

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. - Haotian Zhang 005; Mingfei Gao; Zhe Gan; Philipp Dufter; Nina Wenzel; Forrest Huang; Dhruti Shah; Xianzhi Du; Bowen Zhang 002; Yanghao Li; Sam Dodge; Keen You; et al. (ICLR, 2025)

CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling. - Xinze Wang; Chen Chen; Yinfei Yang; Hong-You Chen; Bowen Zhang; Aditya Pal; Xiangxin Zhu; Xianzhi Du (CoRR, 2025)

Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation. - Changchang Yin; Hong-You Chen; Wei-Lun Chao; Ping Zhang 016 (CoRR, 2025)