Yongshuo Zong

According to our database, Yongshuo Zong authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?

Yunfei Xie, Juncheng Wu, Haoqin Tu, Siwei Yang, Bingchen Zhao, Yongshuo Zong, Qiao Jin, Cihang Xie, Yuyin Zhou

CoRR, 2024

Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted.

Ruchika Chavhan, Ondrej Bohdal, Yongshuo Zong, Da Li, Timothy M. Hospedales

CoRR, 2024

Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning.

Bingchen Zhao, Yongshuo Zong, Letian Zhang, Timothy M. Hospedales

CoRR, 2024

VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning.

Yongshuo Zong, Ondrej Bohdal, Timothy M. Hospedales

CoRR, 2024

Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations.

Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, Bingchen Zhao, Timothy M. Hospedales

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.

Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales

Proceedings of the Forty-first International Conference on Machine Learning, 2024

What If the TV was off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models.

Letian Zhang, Xiaotong Zhai, Zhongkai Zhao, Yongshuo Zong, Xin Wen, Bingchen Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Self-Supervised Multimodal Learning: A Survey.

Yongshuo Zong, Oisin Mac Aodha, Timothy M. Hospedales

CoRR, 2023

MEDFAIR: Benchmarking Fairness for Medical Imaging.

Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn.

Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

A Deep Segmentation Network of Stent Structs Based on IoT for Interventional Cardiovascular Diagnosis.

Chenxi Huang, Yongshuo Zong, Jinling Chen, Weipeng Liu, Jaime Lloret, Mithun Mukherjee

IEEE Wirel. Commun., 2021

A new deep learning approach for the retinal hard exudates detection based on superpixel multi-feature extraction and patch-based CNN.

Chenxi Huang, Yongshuo Zong, Yimin Ding, Xin Luo, Kathy Clawson, Yonghong Peng

Neurocomputing, 2021

2020

Moving Window Differential Evolution Independent Component Analysis-Based Operational Modal Analysis for Slow Linear Time-Varying Structures.

Yongshuo Zong, Jinling Chen, Siyi Tao, Cheng Wang, Jianbing Xiahou

Sci. Program., 2020

Magnetic Resonance Image Denoising Algorithm Based on Cartoon, Texture, and Residual Parts.

Yanqiu Zeng, Baocan Zhang, Wei Zhao, Shixiao Xiao, Guokai Zhang, Haiping Ren, Wenbing Zhao, Yonghong Peng, Yutian Xiao, Yiwen Lu, Yongshuo Zong, Yimin Ding

Comput. Math. Methods Medicine, 2020

U-net Based Method for Automatic Hard Exudates Segmentation in Fundus Images Using Inception Module and Residual Connection.

Yongshuo Zong, Jinling Chen, Lvqing Yang, Siyi Tao, Cieryouzhen Aoma, Jiangsheng Zhao, Shuihua Wang

IEEE Access, 2020

2019

Automatic Detection Approach for Bioresorbable Vascular Scaffolds Using a U-Shaped Convolutional Neural Network.

Wen Zhou, Fei Chen, Yongshuo Zong, Dadong Zhao, Biao Jie, Zhengdong Wang, Chenxi Huang, Eddie-Yin-Kwee Ng

IEEE Access, 2019

A Deep Transfer Convolutional Neural Network Framework for EEG Signal Classification.

Gaowei Xu, Xiaoang Shen, Sirui Chen, Yongshuo Zong, Canyang Zhang, Hongyang Yue, Min Liu, Fei Chen, Wenliang Che

IEEE Access, 2019

An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolutional Neural Networks.

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

IEEE Access, 2019