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2020 – today
- 2024
[c5]Letian Zhang, Xiaotong Zhai, Zhongkai Zhao, Yongshuo Zong, Xin Wen, Bingchen Zhao:
What If the TV was off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models. CVPR 2024: 21853-21862- [c4]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. ICML 2024 - [c3]Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, Bingchen Zhao, Timothy M. Hospedales:
Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations. ICML 2024 - [i10]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 abs/2402.02207 (2024) - [i9]Yongshuo Zong, Ondrej Bohdal, Timothy M. Hospedales:
VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning. CoRR abs/2403.13164 (2024) - [i8]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 abs/2406.12742 (2024) - [i7]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 abs/2406.18566 (2024) - [i6]Yunfei Xie, Juncheng Wu, Haoqin Tu, Siwei Yang, Bingchen Zhao, Yongshuo Zong, Qiao Jin, Cihang Xie, Yuyin Zhou:
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor? CoRR abs/2409.15277 (2024) - 2023
- [c2]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: 7693-7703 - [c1]Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales:
MEDFAIR: Benchmarking Fairness for Medical Imaging. ICLR 2023 - [i5]Yongshuo Zong, Oisin Mac Aodha, Timothy M. Hospedales:
Self-Supervised Multimodal Learning: A Survey. CoRR abs/2304.01008 (2023) - [i4]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 abs/2305.07625 (2023) - [i3]Yongshuo Zong, Tingyang Yu, Bingchen Zhao, Ruchika Chavhan, Timothy M. Hospedales:
Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations. CoRR abs/2310.01651 (2023) - [i2]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 abs/2310.06627 (2023) - 2022
- [i1]Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales:
MEDFAIR: Benchmarking Fairness for Medical Imaging. CoRR abs/2210.01725 (2022) - 2021
- [j8]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: 521-533 (2021) - [j7]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): 36-43 (2021) - 2020
- [j6]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: 167225-167235 (2020) - [j5]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: 1405647:1-1405647:10 (2020) - [j4]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: 8879086:1-8879086:9 (2020)
2010 – 2019
- 2019
- [j3]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: 94424-94430 (2019) - [j2]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: 112767-112776 (2019) - [j1]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: 158603-158611 (2019)
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