Yufan Zhou - RankMe

52 papers A* 14A 1B 1Journal 31Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation. COLING Shijie Zhou, Ruiyi Zhang, Yufan Zhou, Changyou Chen
2025	J	`jnl`	A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models. CoRR Zihao Lin, Samyadeep Basu, Mohammad Beigi, Varun Manjunatha, Ryan A. Rossi, Zichao Wang, Yufan Zhou, Sriram Balasubramanian, Arman Zarei, Keivan Rezaei, Ying Shen, Barry Menglong Yao, Zhiyang Xu, Qin Liu, Yuxiang Zhang, Yan Sun, Shilong Liu, Li Shen, Hongxuan Li, Soheil Feizi, Lifu Huang
2025	A	`conf`	ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models. WACV Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang
2025	—	`conf`	Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models. EMNLP (Findings) Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang
2025	J	`jnl`	Multimodal LLMs as Customized Reward Models for Text-to-Image Generation. CoRR Shijie Zhou, Ruiyi Zhang, Huaisheng Zhu, Branislav Kveton, Yufan Zhou, Jiuxiang Gu, Jian Chen, Changyou Chen
2025	A*	`conf`	Numerical Pruning for Efficient Autoregressive Models. AAAI Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu
2025	A*	`conf`	SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding. ICLR Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun
2025	A*	`conf`	TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram. ICLR Mingxi Lei, Chunwei Ma, Meng Ding, Yufan Zhou, Ziyun Huang, Jinhui Xu
2025	J	`jnl`	Towards Visual Text Grounding of Multimodal Large Language Model. CoRR Ming Li, Ruiyi Zhang, Jian Chen, Jiuxiang Gu, Yufan Zhou, Franck Dernoncourt, Wanrong Zhu, Tianyi Zhou, Tong Sun
2024	J	`jnl`	A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation. CoRR Shijie Zhou, Ruiyi Zhang, Yufan Zhou, Changyou Chen
2024	J	`jnl`	ARTIST: Improving the Generation of Text-rich Images by Disentanglement. CoRR Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang
2024	A*	`conf`	Customization Assistant for Text-to-image Generation. CVPR Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Tong Sun
2024	J	`jnl`	Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models. CoRR Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang
2024	J	`jnl`	LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models. CoRR Ruiyi Zhang, Yufan Zhou, Jian Chen, Jiuxiang Gu, Changyou Chen, Tong Sun
2024	J	`jnl`	LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding. CoRR Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun
2024	J	`jnl`	MMR: Evaluating Reading Ability of Large Multimodal Models. CoRR Jian Chen, Ruiyi Zhang, Yufan Zhou, Ryan A. Rossi, Jiuxiang Gu, Changyou Chen
2024	—	`conf`	Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. ACL (1) Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang
2024	J	`jnl`	Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. CoRR Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang
2024	J	`jnl`	Numerical Pruning for Efficient Autoregressive Models. CoRR Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu
2024	J	`jnl`	SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner. CoRR Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Nanxuan Zhao, Jing Shi, Tong Sun
2024	A*	`conf`	TRINS: Towards Multimodal Language Models that Can Read. CVPR Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun
2024	J	`jnl`	TRINS: Towards Multimodal Language Models that Can Read. CoRR Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun
2024	J	`jnl`	TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram. CoRR Mingxi Lei, Chunwei Ma, Meng Ding, Yufan Zhou, Ziyun Huang, Jinhui Xu
2024	—	`conf`	TextLap: Customizing Language Models for Text-to-Layout Planning. EMNLP (Findings) Jian Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey, Jiuxiang Gu, Zhiqiang Xu, Changyou Chen
2024	J	`jnl`	TextLap: Customizing Language Models for Text-to-Layout Planning. CoRR Jian Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey, Jiuxiang Gu, Zhiqiang Xu, Changyou Chen
2024	J	`jnl`	Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation. CoRR Yufan Zhou, Ruiyi Zhang, Kaizhi Zheng, Nanxuan Zhao, Jiuxiang Gu, Zichao Wang, Xin Eric Wang, Tong Sun
2024	A*	`conf`	Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints. ICLR Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen
2024	J	`jnl`	Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints. CoRR Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen
2023	J	`jnl`	Customization Assistant for Text-to-image Generation. CoRR Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Tong Sun
2023	J	`jnl`	Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach. CoRR Yufan Zhou, Ruiyi Zhang, Tong Sun, Jinhui Xu
2023	J	`jnl`	LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding. CoRR Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu, Yufan Zhou, Nedim Lipka, Diyi Yang, Tong Sun
2023	A*	`conf`	Shifted Diffusion for Text-to-image Generation. CVPR Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
2022	J	`jnl`	Lafite2: Few-shot Text-to-Image Generation. CoRR Yufan Zhou, Chunyuan Li, Changyou Chen, Jianfeng Gao, Jinhui Xu
2022	J	`jnl`	Shifted Diffusion for Text-to-image Generation. CoRR Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
2022	A*	`conf`	TiGAN: Text-Based Interactive Image Generation and Manipulation. AAAI Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun
2022	A*	`conf`	Towards Language-Free Training for Text-to-Image Generation. CVPR Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
2021	J	`jnl`	A Generic Approach for Enhancing GANs by Regularized Latent Optimization. CoRR Yufan Zhou, Chunyuan Li, Changyou Chen, Jinhui Xu
2021	J	`jnl`	LAFITE: Towards Language-Free Training for Text-to-Image Generation. CoRR Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
2021	J	`jnl`	Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels. CoRR Yufan Zhou, Changyou Chen, Jinhui Xu
2021	A*	`conf`	Meta-Learning with Neural Tangent Kernels. ICLR Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu
2021	J	`jnl`	Meta-Learning with Neural Tangent Kernels. CoRR Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu
2021	A*	`conf`	MixKD: Towards Efficient Distillation of Large-scale Language Models. ICLR Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin
2020	J	`jnl`	Graph Neural Networks with Composite Kernels. CoRR Yufan Zhou, Jiayi Xian, Changyou Chen, Jinhui Xu
2020	A*	`conf`	Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. AAAI Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen
2020	A*	`conf`	Learning Manifold Implicitly via Explicit Heat-Kernel Learning. NeurIPS Yufan Zhou, Changyou Chen, Jinhui Xu
2020	J	`jnl`	Learning Manifold Implicitly via Explicit Heat-Kernel Learning. CoRR Yufan Zhou, Changyou Chen, Jinhui Xu
2020	J	`jnl`	MixKD: Towards Efficient Distillation of Large-scale Language Models. CoRR Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin
2020	A*	`conf`	Variational Adversarial Kernel Learned Imitation Learning. AAAI Fan Yang, Alina Vereshchaka, Yufan Zhou, Changyou Chen, Wen Dong
2020	—	`conf`	Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label. ISBI Yufan Zhou, Zheshuo Li, Chunwei Ma, Changyou Chen, Mingchen Gao, Hong Zhu, Jinhui Xu
2019	J	`jnl`	KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling. CoRR Yufan Zhou, Changyou Chen, Jinhui Xu
2019	J	`jnl`	Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. CoRR Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen
2018	—	`conf`	Holistic Brain Tumor Screening and Classification Based on DenseNet and Recurrent Neural Network. BrainLes@MICCAI (1) Yufan Zhou, Zheshuo Li, Hong Zhu, Changyou Chen, Mingchen Gao, Kai Xu, Jinhui Xu