Yongshuo Zong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Convolutional Neural Network

Diffusion Models

Top Venues

IEEE Wirel. Commun.

Publications

Bingchen Zhao, Yongshuo Zong, Letian Zhang, Timothy M. Hospedales
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning. CoRR (2024)
Ruchika Chavhan, Ondrej Bohdal, Yongshuo Zong, Da Li, Timothy M. Hospedales
Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted. CoRR (2024)
Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. CoRR (2024)
Yongshuo Zong, Ondrej Bohdal, Timothy M. Hospedales
VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning. CoRR (2024)
Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales
MEDFAIR: Benchmarking Fairness for Medical Imaging. ICLR (2023)
Yongshuo Zong, Tingyang Yu, Bingchen Zhao, Ruchika Chavhan, Timothy M. Hospedales
Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations. CoRR (2023)
Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. CVPR (2023)
Letian Zhang, Xiaotong Zhai, Zhongkai Zhao, Xin Wen, Yongshuo Zong, Bingchen Zhao
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models. CoRR (2023)
Yongshuo Zong, Oisin Mac Aodha, Timothy M. Hospedales
Self-Supervised Multimodal Learning: A Survey. CoRR (2023)
Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. CoRR (2023)
Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales
MEDFAIR: Benchmarking Fairness for Medical Imaging. CoRR (2022)
Chenxi Huang, Yongshuo Zong, Jinling Chen, Weipeng Liu, Jaime Lloret, Mithun Mukherjee
A Deep Segmentation Network of Stent Structs Based on IoT for Interventional Cardiovascular Diagnosis. IEEE Wirel. Commun. 28 (3) (2021)
Chenxi Huang, Yongshuo Zong, Yimin Ding, Xin Luo, Kathy Clawson, Yonghong Peng
A new deep learning approach for the retinal hard exudates detection based on superpixel multi-feature extraction and patch-based CNN. Neurocomputing 452 (2021)
Yanqiu Zeng, Baocan Zhang, Wei Zhao, Shixiao Xiao, Guokai Zhang, Haiping Ren, Wenbing Zhao, Yonghong Peng, Yutian Xiao, Yiwen Lu, Yongshuo Zong, Yimin Ding
Magnetic Resonance Image Denoising Algorithm Based on Cartoon, Texture, and Residual Parts. Comput. Math. Methods Medicine 2020 (2020)
Yongshuo Zong, Jinling Chen, Lvqing Yang, Siyi Tao, Cieryouzhen Aoma, Jiangsheng Zhao, Shuihua Wang
U-net Based Method for Automatic Hard Exudates Segmentation in Fundus Images Using Inception Module and Residual Connection. IEEE Access 8 (2020)
Yongshuo Zong, Jinling Chen, Siyi Tao, Cheng Wang, Jianbing Xiahou
Moving Window Differential Evolution Independent Component Analysis-Based Operational Modal Analysis for Slow Linear Time-Varying Structures. Sci. Program. 2020 (2020)
Wen Zhou, Fei Chen, Yongshuo Zong, Dadong Zhao, Biao Jie, Zhengdong Wang, Chenxi Huang, Eddie-Yin-Kwee Ng
Automatic Detection Approach for Bioresorbable Vascular Scaffolds Using a U-Shaped Convolutional Neural Network. IEEE Access 7 (2019)
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
An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolutional Neural Networks. IEEE Access 7 (2019)
Gaowei Xu, Xiaoang Shen, Sirui Chen, Yongshuo Zong, Canyang Zhang, Hongyang Yue, Min Liu, Fei Chen, Wenliang Che
A Deep Transfer Convolutional Neural Network Framework for EEG Signal Classification. IEEE Access 7 (2019)