Yongshuo Zong
Cited by
Cited by
A deep transfer convolutional neural network framework for EEG signal classification
G Xu, X Shen, S Chen, Y Zong, C Zhang, H Yue, M Liu, F Chen, W Che
IEEE Access 7, 112767-112776, 2019
An early diagnosis of oral cancer based on three-dimensional convolutional neural networks
S Xu, C Liu, Y Zong, S Chen, Y Lu, L Yang, EYK Ng, Y Wang, Y Wang, ...
IEEE Access 7, 158603-158611, 2019
U-net Based Method for Automatic Hard Exudates Segmentation in Fundus Images Using Inception Module and Residual Connection
Y Zong, J Chen, L Yang, S Tao, C Aoma, J Zhao, S Wang
IEEE Access 8, 167225-167235, 2020
MEDFAIR: Benchmarking Fairness for Medical Imaging
Y Zong, Y Yang, T Hospedales
ICLR 2023, 2023
A new deep learning approach for the retinal hard exudates detection based on superpixel multi-feature extraction and patch-based CNN
C Huang, Y Zong, Y Ding, X Luo, K Clawson, Y Peng
Neurocomputing 452, 521-533, 2021
conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics
Y Zong, T Yu, X Wang, Y Wang, Z Hu, Y Li
bioRxiv preprint,, 2022
Self-Supervised Multimodal Learning: A Survey
Y Zong, O Mac Aodha, T Hospedales
arXiv preprint arXiv:2304.01008, 2023
A deep segmentation network of stent structs based on IoT for interventional cardiovascular diagnosis
C Huang, Y Zong, J Chen, W Liu, J Lloret, M Mukherjee
IEEE Wireless Communications 28 (3), 36-43, 2021
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
Y Zong, O Bohdal, T Yu, Y Yang, T Hospedales
ICML 2024, 2024
What if the tv was off? examining counterfactual reasoning abilities of multi-modal language models
L Zhang, X Zhai, Z Zhao, Y Zong, X Wen, B Zhao
CVPR 2024, 2024
Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations
Y Zong, T Yu, B Zhao, R Chavhan, T Hospedales
ICML 2024, 2024
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
O Bohdal, Y Tian, Y Zong, R Chavhan, D Li, H Gouk, L Guo, ...
CVPR 2023, 2023
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning
B Zhao, Y Zong, L Zhang, T Hospedales
arXiv preprint arXiv:2406.12742, 2024
VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning
Y Zong, O Bohdal, T Hospedales
arXiv preprint arXiv:2403.13164, 2024
scMinerva: a GCN-featured Interpretable Framework for Single-cell Multi-omics Integration with Random Walk on Heterogeneous Graph
T Yu, Y Zong, Y Wang, X Wang, Y Li
bioRxiv, 2022.05. 28.493838, 2022
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