| When person re-identification meets changing clothes F Wan, Y Wu, X Qian, Y Chen, Y Fu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2020 | 128 | 2020 |
| Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis X Wu, Y Hao, K Sun, Y Chen, F Zhu, R Zhao, H Li arXiv preprint arXiv:2306.09341, 2023 | 77 | 2023 |
| Label-Free Liver Tumor Segmentation Q Hu, Y Chen, J Xiao, S Sun, J Chen, A Yuille, Z Zhou IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 45 | 2023 |
| USCL: pretraining deep ultrasound image diagnosis model through video contrastive representation learning Y Chen, C Zhang, L Liu, C Feng, C Dong, Y Luo, X Wan MICCAI (oral), 627-637, 2021 | 43 | 2021 |
| Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks Y Chen, A Yuille, Z Zhou The Eleventh International Conference on Learning Representations (ICLR), 2023 | 17 | 2023 |
| X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models Y Chen, L Liu, C Ding arXiv preprint arXiv:2305.10843, 2023 | 15 | 2023 |
| Generating and weighting semantically consistent sample pairs for ultrasound contrastive learning Y Chen, C Zhang, CHQ Ding, L Liu IEEE Transactions on Medical Imaging 42 (5), 1388-1400, 2022 | 10 | 2022 |
| MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging Y Chen, L Liu, J Li, H Jiang, C Ding, Z Zhou MICCAI (early accept), 706-716, 2023 | 8* | 2023 |
| Synthetic Tumors Make AI Segment Tumors Better Q Hu, J Xiao, Y Chen, S Sun, JN Chen, A Yuille, Z Zhou Medical Imaging Meets NeurIPS, 2022 | 8 | 2022 |
| HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining C Zhang, Y Chen, L Liu, Q Liu, X Zhou Proceedings of the Asian Conference on Computer Vision (ACCV), 229-246, 2022 | 7 | 2022 |
| Rethinking two consensuses of the transferability in deep learning Y Chen, J Li, C Ding, L Liu arXiv preprint arXiv:2212.00399, 2022 | 1 | 2022 |
| AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking W Li, C Qu, X Chen, PRAS Bassi, Y Shi, Y Lai, Q Yu, H Xue, Y Chen, X Lin, ... arXiv preprint arXiv:2407.16697, 2024 | | 2024 |
| Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets Y Chen, Z Zhou, A Yuille arXiv preprint arXiv:2406.00327, 2024 | | 2024 |
| Leveraging Noisy Labels of Nearest Neighbors for Label Correction and Sample Selection H Jiang, Y Chen, L Liu, X Han, XP Zhang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
Li LiuAssistant professor at The Hong Kong University of Science and Technology (Guangzhou)Verified email at hkust-gz.edu.cn
