| Transferable contrastive network for generalized zero-shot learning H Jiang, R Wang, S Shan, X Chen Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 231 | 2019 |
| Learning class prototypes via structure alignment for zero-shot recognition H Jiang, R Wang, S Shan, X Chen Proceedings of the European conference on computer vision (ECCV), 118-134, 2018 | 158 | 2018 |
| Learning discriminative latent attributes for zero-shot classification H Jiang, R Wang, S Shan, Y Yang, X Chen Proceedings of the IEEE International Conference on Computer Vision, 4223-4232, 2017 | 125 | 2017 |
| Two birds, one stone: Jointly learning binary code for large-scale face image retrieval and attributes prediction Y Li, R Wang, H Liu, H Jiang, S Shan, X Chen Proceedings of the IEEE international conference on computer vision, 3819-3827, 2015 | 65 | 2015 |
| Adaptive metric learning for zero-shot recognition H Jiang, R Wang, S Shan, X Chen IEEE Signal Processing Letters 26 (9), 1270-1274, 2019 | 24 | 2019 |
| See and learn more: Dense caption-aware representation for visual question answering Y Bi, H Jiang, Y Hu, Y Sun, B Yin IEEE Transactions on Circuits and Systems for Video Technology 34 (2), 1135-1146, 2023 | 16 | 2023 |
| Domain-aware prototype network for generalized zero-shot learning Y Hu, L Feng, H Jiang, M Liu, B Yin IEEE Transactions on Circuits and Systems for Video Technology 34 (5), 3180-3191, 2023 | 8 | 2023 |
| Unsupervised coherent video cartoonization with perceptual motion consistency Z Liu, L Li, H Jiang, X Jin, D Tu, S Wang, ZJ Zha Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1846-1853, 2022 | 8 | 2022 |
| Fair attention network for robust visual question answering Y Bi, H Jiang, Y Hu, Y Sun, B Yin IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 6 | 2024 |
| Incorporating multi-level sampling with adaptive aggregation for inductive knowledge graph completion K Sun, H Jiang, Y Hu, B Yin ACM Transactions on Knowledge Discovery from Data 18 (5), 1-16, 2024 | 4 | 2024 |
| Self-supervised knowledge distillation in counterfactual learning for VQA Y Bi, H Jiang, H Zhang, Y Hu, B Yin Pattern Recognition Letters 177, 33-39, 2024 | 4 | 2024 |
| Breaking the Barrier Between Pre-training and Fine-tuning: A Hybrid Prompting Model for Knowledge-Based VQA Z Sun, Y Hu, Q Gao, H Jiang, J Gao, Y Sun, B Yin Proceedings of the 31st ACM International Conference on Multimedia, 4065-4073, 2023 | 4 | 2023 |
| Multi-level attention for referring expression comprehension Y Sun, Y Zhang, H Jiang, Y Hu, B Yin Pattern Recognition Letters 172, 252-258, 2023 | 3 | 2023 |
| CGNN: Caption-assisted graph neural network for image-text retrieval Y Hu, H Zhang, H Jiang, Y Bi, B Yin Pattern Recognition Letters 161, 137-142, 2022 | 3 | 2022 |
| Substructure-aware subgraph reasoning for inductive relation prediction K Sun, HJ Jiang, Y Hu, BC Yin The Journal of Supercomputing 79 (18), 21008-21027, 2023 | 2 | 2023 |
| Attribute annotation on large-scale image database by active knowledge transfer H Jiang, R Wang, Y Li, H Liu, S Shan, X Chen Image and Vision Computing 78, 1-13, 2018 | 2 | 2018 |
| Dual Prototype Contrastive Network for Generalized Zero-Shot Learning H Jiang, Z Li, Y Hu, B Yin, J Yang, A van den Hengel, MH Yang, Y Qi IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 1 | 2024 |
| MBMF: Constructing memory banks of multi‐scale features for anomaly detection Y Sun, H Wang, Y Hu, H Jiang, B Yin IET Computer Vision 18 (3), 355-369, 2024 | 1 | 2024 |
| PRNet: A Progressive Refinement Network for referring image segmentation J Liu, H Jiang, Y Hu, B Yin Neurocomputing, 129698, 2025 | | 2025 |
| Adapter-Enhanced Semantic Prompting for Continual Learning B Yin, J Zhao, H Jiang, N Hou, Y Hu, A Beheshti, MH Yang, Y Qi arXiv preprint arXiv:2412.11074, 2024 | | 2024 |
Xilin ChenInstitute of Computing Technology, Chinese Academy of SciencesEmail yang diverifikasi di ict.ac.cn
