Yongshuo Zong - RankMe

28 papers A* 7Journal 21

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels. CVPR Yongshuo Zong, Qin Zhang, Dongsheng An, Zhihua Li, Xiang Xu, Linghan Xu, Zhuowen Tu, Yifan Xing, Onkar Dabeer
2025	J	`jnl`	Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels. CoRR Yongshuo Zong, Qin Zhang, Dongsheng An, Zhihua Li, Xiang Xu, Linghan Xu, Zhuowen Tu, Yifan Xing, Onkar Dabeer
2025	J	`jnl`	MedVision: Dataset and Benchmark for Quantitative Medical Image Analysis. CoRR Yongchen Yao, Yongshuo Zong, Raman Dutt, Yongxin Yang, Sotirios A. Tsaftaris, Timothy M. Hospedales
2025	J	`jnl`	Self-Supervised Multimodal Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Yongshuo Zong, Oisin Mac Aodha, Timothy M. Hospedales
2025	A*	`conf`	VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning. ICLR Yongshuo Zong, Ondrej Bohdal, Timothy M. Hospedales
2024	J	`jnl`	A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor? CoRR Yunfei Xie, Juncheng Wu, Haoqin Tu, Siwei Yang, Bingchen Zhao, Yongshuo Zong, Qiao Jin, Cihang Xie, Yuyin Zhou
2024	J	`jnl`	Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning. CoRR Bingchen Zhao, Yongshuo Zong, Letian Zhang, Timothy M. Hospedales
2024	A*	`conf`	Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations. ICML Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, Bingchen Zhao, Timothy M. Hospedales
2024	J	`jnl`	Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted. CoRR Ruchika Chavhan, Ondrej Bohdal, Yongshuo Zong, Da Li, Timothy M. Hospedales
2024	A*	`conf`	Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. ICML Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales
2024	J	`jnl`	Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. CoRR Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales
2024	J	`jnl`	VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning. CoRR Yongshuo Zong, Ondrej Bohdal, Timothy M. Hospedales
2024	A*	`conf`	What If the TV was off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models. CVPR Letian Zhang, Xiaotong Zhai, Zhongkai Zhao, Yongshuo Zong, Xin Wen, Bingchen Zhao
2023	J	`jnl`	Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations. CoRR Yongshuo Zong, Tingyang Yu, Bingchen Zhao, Ruchika Chavhan, Timothy M. Hospedales
2023	A*	`conf`	MEDFAIR: Benchmarking Fairness for Medical Imaging. ICLR Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales
2023	A*	`conf`	Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. CVPR Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
2023	J	`jnl`	Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. CoRR Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
2023	J	`jnl`	Self-Supervised Multimodal Learning: A Survey. CoRR Yongshuo Zong, Oisin Mac Aodha, Timothy M. Hospedales
2023	J	`jnl`	What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models. CoRR Letian Zhang, Xiaotong Zhai, Zhongkai Zhao, Xin Wen, Yongshuo Zong, Bingchen Zhao
2022	J	`jnl`	MEDFAIR: Benchmarking Fairness for Medical Imaging. CoRR Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales
2021	J	`jnl`	A Deep Segmentation Network of Stent Structs Based on IoT for Interventional Cardiovascular Diagnosis. IEEE Wirel. Commun. Chenxi Huang, Yongshuo Zong, Jinling Chen, Weipeng Liu, Jaime Lloret, Mithun Mukherjee
2021	J	`jnl`	A new deep learning approach for the retinal hard exudates detection based on superpixel multi-feature extraction and patch-based CNN. Neurocomputing Chenxi Huang, Yongshuo Zong, Yimin Ding, Xin Luo, Kathy Clawson, Yonghong Peng
2020	J	`jnl`	Magnetic Resonance Image Denoising Algorithm Based on Cartoon, Texture, and Residual Parts. Comput. Math. Methods Medicine Yanqiu Zeng, Baocan Zhang, Wei Zhao, Shixiao Xiao, Guokai Zhang, Haiping Ren, Wenbing Zhao, Yonghong Peng, Yutian Xiao, Yiwen Lu, Yongshuo Zong, Yimin Ding
2020	J	`jnl`	Moving Window Differential Evolution Independent Component Analysis-Based Operational Modal Analysis for Slow Linear Time-Varying Structures. Sci. Program. Yongshuo Zong, Jinling Chen, Siyi Tao, Cheng Wang, Jianbing Xiahou
2020	J	`jnl`	U-net Based Method for Automatic Hard Exudates Segmentation in Fundus Images Using Inception Module and Residual Connection. IEEE Access Yongshuo Zong, Jinling Chen, Lvqing Yang, Siyi Tao, Cieryouzhen Aoma, Jiangsheng Zhao, Shuihua Wang
2019	J	`jnl`	A Deep Transfer Convolutional Neural Network Framework for EEG Signal Classification. IEEE Access Gaowei Xu, Xiaoang Shen, Sirui Chen, Yongshuo Zong, Canyang Zhang, Hongyang Yue, Min Liu, Fei Chen, Wenliang Che
2019	J	`jnl`	An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolutional Neural Networks. IEEE Access Shipu Xu, Yong Liu, Wenwen Hu, Chenxi Zhang, Chang Liu, Yongshuo Zong, Sirui Chen, Yiwen Lu, Longzhi Yang, Eddie Y. K. Ng, Yongtong Wang, Yunsheng Wang
2019	J	`jnl`	Automatic Detection Approach for Bioresorbable Vascular Scaffolds Using a U-Shaped Convolutional Neural Network. IEEE Access Wen Zhou, Fei Chen, Yongshuo Zong, Dadong Zhao, Biao Jie, Zhengdong Wang, Chenxi Huang, Eddie-Yin-Kwee Ng