| 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 | 266 | 2019 |
| MEDFAIR: Benchmarking Fairness for Medical Imaging Y Zong, Y Yang, T Hospedales ICLR 2023, 2023 | 74 | 2023 |
| 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 | 63 | 2019 |
| 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 | 59 | 2024 |
| 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 | 50 | 2022 |
| 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 | 47 | 2020 |
| Self-Supervised Multimodal Learning: A Survey Y Zong, O Mac Aodha, T Hospedales IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 46* | 2024 |
| 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 | 33 | 2021 |
| 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 | 22 | 2021 |
| Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations Y Zong, T Yu, B Zhao, R Chavhan, T Hospedales ICML 2024, 2024 | 20 | 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 | 18 | 2024 |
| A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor? Y Xie, J Wu, H Tu, S Yang, B Zhao, Y Zong, Q Jin, C Xie, Y Zhou arXiv preprint arXiv:2409.15277, 2024 | 11 | 2024 |
| VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning Y Zong, O Bohdal, T Hospedales ICLR 2025, 2025 | 10 | 2025 |
| 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 | 10 | 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 | 9 | 2023 |
| Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted R Chavhan, O Bohdal, Y Zong, D Li, T Hospedales arXiv preprint arXiv:2406.18566, 2024 | 4 | 2024 |
| Long-context vision large language models: Empirical insights and a baseline Y Zong, I Elezi, Y Yang, J Deng, T Hospedales Workshop on Long Context Foundation Models, 2024 | 1 | 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 |
