Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval Y Qin, D Peng, X Peng, X Wang, P Hu Proceedings of the 30th ACM International Conference on Multimedia, 4948-4956, 2022 | 45 | 2022 |
Multi-Aspect co-Attentional Collaborative Filtering for extreme multi-label text classification J Wang, Z Chen, Y Qin, D He, F Lin Knowledge-Based Systems 260, 110110, 2023 | 10 | 2023 |
Cross-modal Active Complementary Learning with Self-refining Correspondence Y Qin, Y Sun, D Peng, JT Zhou, X Peng, P Hu Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS …, 2023 | 9 | 2023 |
Noisy-Correspondence Learning for Text-to-Image Person Re-identification Y Qin, Y Chen, D Peng, X Peng, JT Zhou, P Hu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), 2023 | 8 | 2023 |
EVIL: Evidential inference learning for trustworthy semi-supervised medical image segmentation Y Chen, Z Yang, C Shen, Z Wang, Y Qin, Y Zhang 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 4 | 2023 |
Dual Self-Paced Hashing for Image Retrieval Y Sun, Y Qin, D Peng, Z Ren, C Yang, P Hu IEEE Transactions on Multimedia, 2024 | 1 | 2024 |
PointCloud-Text Matching: Benchmark Datasets and a Baseline Y Feng, Y Qin, D Peng, H Zhu, X Peng, P Hu arXiv preprint arXiv:2403.19386, 2024 | 1 | 2024 |
Robust Multi-View Clustering with Noisy Correspondence Y Sun, Y Qin, Y Li, D Peng, X Peng, P Hu IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
Evidence-based uncertainty-aware semi-supervised medical image segmentation Y Chen, Z Yang, C Shen, Z Wang, Z Zhang, Y Qin, X Wei, J Lu, Y Liu, ... Computers in Biology and Medicine 170, 108004, 2024 | | 2024 |
Robust Contrastive Cross-modal Hashing with Noisy Labels L Wang, Y Qin, Y Sun, D Peng, X Peng, P Hu ACM Multimedia 2024, 0 | | |
Trust-consistent Visual Semantic Embedding for Image-Text Matching Y Qin, D Peng, B Jiang, X Peng, P Hu | | |