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 | 226 | 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 | 55 | 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 | 40 | 2020 |
MEDFAIR: Benchmarking Fairness for Medical Imaging Y Zong, Y Yang, T Hospedales ICLR 2023, 2023 | 39 | 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 | 30 | 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, https://doi.org/10.1101/2022.01.14.47640, 2022 | 26 | 2022 |
Self-Supervised Multimodal Learning: A Survey Y Zong, O Mac Aodha, T Hospedales arXiv preprint arXiv:2304.01008, 2023 | 24* | 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 | 18 | 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 | 8 | 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 | 7 | 2024 |
Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations Y Zong, T Yu, B Zhao, R Chavhan, T Hospedales ICML 2024, 2024 | 6 | 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 | 6 | 2023 |
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 | | 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 | | 2022 |