| Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks R Qiu, J Li, Z Huang, H Yin CIKM, 2019 | 412 | 2019 |
| Leveraging the invariant side of generative zero-shot learning J Li, M Jing, K Lu, Z Ding, L Zhu, Z Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 400 | 2019 |
| Maximum density divergence for domain adaptation J Li, E Chen, Z Ding, L Zhu, K Lu, HT Shen IEEE transactions on pattern analysis and machine intelligence 43 (11), 3918 …, 2020 | 325 | 2020 |
| Transfer independently together: A generalized framework for domain adaptation J Li, K Lu, Z Huang, L Zhu, HT Shen IEEE transactions on cybernetics 49 (6), 2144-2155, 2018 | 301 | 2018 |
| Locality Preserving Joint Transfer for Domain Adaptation J Li, M Jing, K Lu, L Zhu, HT Shen IEEE Transactions on Image Processing, 2019 | 250 | 2019 |
| Heterogeneous domain adaptation through progressive alignment J Li, K Lu, Z Huang, L Zhu, HT Shen IEEE transactions on neural networks and learning systems 30 (5), 1381-1391, 2018 | 215 | 2018 |
| Cross-domain gradient discrepancy minimization for unsupervised domain adaptation Z Du, J Li, H Su, L Zhu, K Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 208 | 2021 |
| Enhancing social recommendation with adversarial graph convolutional networks J Yu, H Yin, J Li, M Gao, Z Huang, L Cui IEEE Transactions on knowledge and data engineering 34 (8), 3727-3739, 2020 | 196 | 2020 |
| From Zero-Shot Learning to Cold-Start Recommendation J Li, M Jing, K Lu, L Zhu, Y Yang, Z Huang AAAI 25, 30, 2019 | 177 | 2019 |
| Learning calibrated medical image segmentation via multi-rater agreement modeling W Ji, S Yu, J Wu, K Ma, C Bian, Q Bi, J Li, H Liu, L Cheng, Y Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 173 | 2021 |
| Exploiting cross-session information for session-based recommendation with graph neural networks R Qiu, Z Huang, J Li, H Yin ACM Transactions on Information Systems (TOIS) 38 (3), 1-23, 2020 | 165 | 2020 |
| Scalable deep hashing for large-scale social image retrieval H Cui, L Zhu, J Li, Y Yang, L Nie IEEE Transactions on image processing 29, 1271-1284, 2019 | 163 | 2019 |
| Deep collaborative multi-view hashing for large-scale image search L Zhu, X Lu, Z Cheng, J Li, H Zhang IEEE Transactions on Image Processing 29, 4643-4655, 2020 | 155 | 2020 |
| Flexible online multi-modal hashing for large-scale multimedia retrieval X Lu, L Zhu, Z Cheng, J Li, X Nie, H Zhang Proceedings of the 27th ACM international conference on multimedia, 1129-1137, 2019 | 133 | 2019 |
| Semantics disentangling for generalized zero-shot learning Z Chen, Y Luo, R Qiu, S Wang, Z Huang, J Li, Z Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 127 | 2021 |
| Low-rank discriminant embedding for multiview learning J Li, Y Wu, J Zhao, K Lu IEEE transactions on cybernetics 47 (11), 3516-3529, 2016 | 124 | 2016 |
| Dynamic context-sensitive filtering network for video salient object detection M Zhang, J Liu, Y Wang, Y Piao, S Yao, W Ji, J Li, H Lu, Z Luo Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 120 | 2021 |
| LFNet: Light field fusion network for salient object detection M Zhang, W Ji, Y Piao, J Li, Y Zhang, S Xu, H Lu IEEE Transactions on Image Processing 29, 6276-6287, 2020 | 120 | 2020 |
| Divergence-agnostic unsupervised domain adaptation by adversarial attacks J Li, Z Du, L Zhu, Z Ding, K Lu, HT Shen IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8196 …, 2021 | 116 | 2021 |
| Faster domain adaptation networks J Li, M Jing, H Su, K Lu, L Zhu, HT Shen IEEE Transactions on Knowledge and Data Engineering 34 (12), 5770-5783, 2021 | 109 | 2021 |
Lei ZhuTongji UniversityDirección de correo verificada de tongji.edu.cn