Hong-You Chen - RankMe

49 papers A* 15A 1B 1Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DREAM: Where Visual Understanding Meets Text-to-Image Generation. CoRR Chao Li, Tianhong Li, Sai Vidyaranya Nuthalapati, Hong-You Chen, Satya Narayan Shukla, Yonghuan Yang, Jun Xiao, Xiangjun Fan, Aashu Singh, Dina Katabi, Shlok Kumar Mishra
2026	J	`jnl`	Enhancement-Mode Lattice-Matched AlInN/GaN/AlGaN/GaN Heterostructured-Fin-Gated Multichannel and Double-Channel MOSHEMTs. IEEE Access Hong-You Chen, Yu-Lun Lyu, Ching-Ting Lee, Hsin-Ying Lee
2026	J	`jnl`	Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation. ACM Trans. Intell. Syst. Technol. Changchang Yin, Hong-You Chen, Wei-Lun Chao, Ping Zhang
2026	J	`jnl`	Principled Synthetic Data Enables the First Scaling Laws for LLMs in Recommendation. CoRR Benyu Zhang, Qiang Zhang, Jianpeng Cheng, Hong-You Chen, Qifei Wang, Wei Sun, Shen Li, Jia Li, Jiahao Wu, Xiangjun Fan, Hong Yan
2026	J	`jnl`	Reason to Contrast: A Cascaded Multimodal Retrieval Framework. CoRR Xuanming Cui, Hong-You Chen, Hao Yu, Hao Yuan, Zihao Wang, Shlok Kumar Mishra, Hanchao Yu, Yonghuan Yang, Jun Xiao, Ser-Nam Lim, Jianpeng Cheng, Qi Guo, Xiangjun Fan
2026	J	`jnl`	Xray-Visual Models: Scaling Vision models on Industry Scale Data. CoRR Shlok Mishra, Tsung-Yu Lin, Linda Wang, Hongli Xu, Yimin Liu, Michael Hsu, Chaitanya Ahuja, Hao Yuan, Jianpeng Cheng, Hong-You Chen, Haoyuan Xu, Chao Li, Abhijeet Awasthi, Jihye Moon, Don Husa, Michael Ge, Sumedha Singla, Arkabandhu Chowdhury, Phong Dingh, Satya Narayan Shukla, Yonghuan Yang, David Jacobs, Qi Guo, Jun Xiao, Xiangjun Fan, Aashu Singh
2025	—	`conf`	CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling. EMNLP (Findings) Xinze Wang, Chen Chen, Yinfei Yang, Hong-You Chen, Bowen Zhang, Aditya Pal, Xiangxin Zhu, Xianzhi Du
2025	J	`jnl`	CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling. CoRR Xinze Wang, Chen Chen, Yinfei Yang, Hong-You Chen, Bowen Zhang, Aditya Pal, Xiangxin Zhu, Xianzhi Du
2025	A*	`conf`	Contrastive Localized Language-Image Pre-Training. ICML Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, Zhe Gan
2025	J	`jnl`	Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation. CoRR Changchang Yin, Hong-You Chen, Wei-Lun Chao, Ping Zhang
2025	A*	`conf`	Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition. CVPR Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Quang-Huy Nguyen, Li Zhang, Wei-Lun Chao
2025	A*	`conf`	MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. ICLR 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, et al.
2025	A*	`conf`	Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models. ICLR 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
2025	J	`jnl`	Think Then Embed: Generative Context Improves Multimodal Embedding. CoRR Xuanming Cui, Jianpeng Cheng, Hong-You Chen, Satya Narayan Shukla, Abhijeet Awasthi, Xichen Pan, Chaitanya Ahuja, Shlok Kumar Mishra, Yonghuan Yang, Jun Xiao, Qi Guo, Ser-Nam Lim, Aashu Singh, Xiangjun Fan
2024	J	`jnl`	Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. CoRR 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
2024	J	`jnl`	Contrastive Localized Language-Image Pre-Training. CoRR Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, Zhe Gan
2024	A*	`conf`	FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction. NeurIPS Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao
2024	J	`jnl`	FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction. CoRR Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao
2024	J	`jnl`	Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models. CoRR 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
2024	A*	`conf`	Fine-Tuning is Fine, if Calibrated. NeurIPS 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
2024	J	`jnl`	Fine-Tuning is Fine, if Calibrated. CoRR 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
2024	J	`jnl`	Jigsaw Game: Federated Clustering. CoRR Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang
2024	J	`jnl`	Jigsaw Game: Federated Clustering. Trans. Mach. Learn. Res. Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang
2024	J	`jnl`	Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition. CoRR Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Li Zhang, Wei-Lun Chao
2024	J	`jnl`	MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. CoRR 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
2024	J	`jnl`	Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models. CoRR 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
2024	A	`conf`	Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs. CIKM 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
2024	J	`jnl`	SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models. CoRR Mingze Xu, Mingfei Gao, Zhe Gan, Hong-You Chen, Zhengfeng Lai, Haiming Gang, Kai Kang, Afshin Dehghan
2023	J	`jnl`	Federated Learning of Shareable Bases for Personalization-Friendly Image Classification. CoRR Hong-You Chen, Jike Zhong, Mingda Zhang, Xuhui Jia, Hang Qi, Boqing Gong, Wei-Lun Chao, Li Zhang
2023	A*	`conf`	Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. NeurIPS 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
2023	J	`jnl`	Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. CoRR 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
2023	A*	`conf`	Learning Fractals by Gradient Descent. AAAI Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
2023	J	`jnl`	Learning Fractals by Gradient Descent. CoRR Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
2023	J	`jnl`	Making Batch Normalization Great in Federated Deep Learning. CoRR Jike Zhong, Hong-You Chen, Wei-Lun Chao
2023	A*	`conf`	On the Importance and Applicability of Pre-Training for Federated Learning. ICLR Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao
2023	A*	`conf`	Train-Once-for-All Personalization. CVPR Hong-You Chen, Yandong Li, Yin Cui, Mingda Zhang, Wei-Lun Chao, Li Zhang
2022	J	`jnl`	Gradual Domain Adaptation without Indexed Intermediate Domains. CoRR Hong-You Chen, Wei-Lun Chao
2022	A*	`conf`	On Bridging Generic and Personalized Federated Learning for Image Classification. ICLR Hong-You Chen, Wei-Lun Chao
2022	J	`jnl`	On Pre-Training for Federated Learning. CoRR Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao
2021	A*	`conf`	FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning. ICLR Hong-You Chen, Wei-Lun Chao
2021	A*	`conf`	Gradual Domain Adaptation without Indexed Intermediate Domains. NeurIPS Hong-You Chen, Wei-Lun Chao
2021	J	`jnl`	On Bridging Generic and Personalized Federated Learning. CoRR Hong-You Chen, Wei-Lun Chao
2020	J	`jnl`	FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning. CoRR Hong-You Chen, Wei-Lun Chao
2020	A*	`conf`	Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs. ACL Hong-You Chen, Sz-Han Yu, Shou-De Lin
2020	J	`jnl`	Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning. CoRR Han-Jia Ye, Hong-You Chen, De-Chuan Zhan, Wei-Lun Chao
2019	—	`conf`	Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training. EMNLP/IJCNLP (1) Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu, Shou-De Lin
2019	B	`conf`	Nested Variance Estimating VAE/GAN for Face Generation. IJCNN Hong-You Chen, Chi-Jen Lu
2019	—	`conf`	Self-Discriminative Learning for Unsupervised Document Embedding. NAACL-HLT (1) Hong-You Chen, Chin-Hua Hu, Leila Wehbe, Shou-De Lin
2018	A*	`conf`	Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings. EMNLP Hong-You Chen, Cheng-Syuan Lee, Keng-Te Liao, Shou-De Lin