| 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 | 361 | 2019 |
| Aspect-aware latent factor model: Rating prediction with ratings and reviews Z Cheng, Y Ding, L Zhu, M Kankanhalli Proceedings of the 2018 World Wide Web Conference, 639-648, 2018 | 318 | 2018 |
| 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, 2019 | 292 | 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 | 278 | 2020 |
| Locality Preserving Joint Transfer for Domain Adaptation J Li, M Jing, K Lu, L Zhu, HT Shen IEEE Transactions on Image Processing 28 (12), 6103-6115, 2019 | 228 | 2019 |
| A^ 3NCF: An Adaptive Aspect Attention Model for Rating Prediction. Z Cheng, Y Ding, X He, L Zhu, X Song, MS Kankanhalli IJCAI, 3748-3754, 2018 | 227 | 2018 |
| MMALFM: Explainable recommendation by leveraging reviews and images Z Cheng, X Chang, L Zhu, RC Kanjirathinkal, M Kankanhalli ACM Transactions on Information Systems (TOIS) 37 (2), 1-28, 2019 | 226 | 2019 |
| Interest-aware Message-Passing GCN for Recommendation F Liu, Z Cheng, L Zhu, Z Gao, L Nie Proceedings of the Web Conference 2021, 1296-1305, 2021 | 217 | 2021 |
| 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 | 210 | 2018 |
| Unsupervised Visual Hashing with Semantic Assistant for Content-based Image Retrieval L Zhu, J Shen, L Xie, Z Cheng IEEE Transactions on Knowledge and Data Engineering 29 (2), 472-486, 2017 | 208 | 2017 |
| 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 | 161 | 2021 |
| Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval L Zhu, Z Huang, Z Li, L Xie, HT Shen IEEE transactions on neural networks and learning systems 29 (11), 5264-5276, 2018 | 161 | 2018 |
| From zero-shot learning to cold-start recommendation J Li, M Jing, K Lu, L Zhu, Y Yang, Z Huang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4189-4196, 2019 | 158 | 2019 |
| 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, 2020 | 152 | 2020 |
| Online Multi-modal Hashing with Dynamic Query-adaption X Lu, L Zhu, Z Cheng, L Nie, H Zhang Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 149 | 2019 |
| Zeronas: Differentiable generative adversarial networks search for zero-shot learning C Yan, X Chang, Z Li, W Guan, Z Ge, L Zhu, Q Zheng IEEE transactions on pattern analysis and machine intelligence 44 (12), 9733 …, 2021 | 142 | 2021 |
| 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 | 132 | 2020 |
| Discrete Multimodal Hashing With Canonical Views for Robust Mobile Landmark Search L Zhu, Z Huang, X Liu, X He, J Sun, X Zhou IEEE Transactions on Multimedia 19 (9), 2066-2079, 2017 | 129 | 2017 |
| Dynamic multi-view hashing for online image retrieval L Xie, J Shen, J Han, L Zhu, L Shao IJCAI, 2017 | 128 | 2017 |
| 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 | 118 | 2019 |
