| LSCD: Low-rank and sparse cross-domain recommendation L Huang, ZL Zhao, CD Wang, D Huang, HY Chao Neurocomputing 366, 86-96, 2019 | 36 | 2019 |
| An item orientated recommendation algorithm from the multi-view perspective QY Hu, ZL Zhao, CD Wang, JH Lai Neurocomputing 269, 261-272, 2017 | 34 | 2017 |
| Low-rank and sparse cross-domain recommendation algorithm ZL Zhao, L Huang, CD Wang, D Huang Database Systems for Advanced Applications: 23rd International Conference …, 2018 | 20 | 2018 |
| AUI&GIV: recommendation with asymmetric user influence and global importance value ZL Zhao, CD Wang, JH Lai PloS one 11 (2), e0147944, 2016 | 19 | 2016 |
| Pipeline item-based collaborative filtering based on MapReduce ZL Zhao, CD Wang, YY Wan, ZW Huang, JH Lai 2015 IEEE Fifth International Conference on Big Data and Cloud Computing, 9-14, 2015 | 19 | 2015 |
| Low-rank and sparse matrix completion for recommendation ZL Zhao, L Huang, CD Wang, JH Lai, PS Yu Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 18 | 2017 |
| Revealing the distributional vulnerability of discriminators by implicit generators Z Zhao, L Cao, KY Lin IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 16* | 2022 |
| Recommendation in feature space sphere ZL Zhao, CD Wang, YY Wan, JH Lai Electronic Commerce Research and Applications 26, 109-118, 2017 | 13 | 2017 |
| Multi-view unit intact space learning KY Lin, CD Wang, YQ Meng, ZL Zhao Knowledge Science, Engineering and Management: 10th International Conference …, 2017 | 11 | 2017 |
| FTMF: recommendation in social network with feature transfer and probabilistic matrix factorization ZL Zhao, CD Wang, YY Wan, JH Lai, D Huang 2016 International Joint Conference on Neural Networks (IJCNN), 847-854, 2016 | 10 | 2016 |
| Shallow and deep non-iid learning on complex data LL Cao, PS Yu, Z Zhao Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 7 | 2022 |
| Dual representation learning for out-of-distribution detection Z Zhao, L Cao Transactions on Machine Learning Research, 2023 | 2 | 2023 |
| Gray Learning From Non-IID Data With Out-of-Distribution Samples Z Zhao, L Cao, CD Wang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 1 | 2023 |
| Deep spectral copula mechanisms modeling coupled and volatile multivariate time series Y Yang, Z Zhao, L Cao 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | 1 | 2023 |
| Supervision adaptation balancing in-distribution generalization and out-of-distribution detection Z Zhao, L Cao, KY Lin IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 1 | 2023 |
| Out-of-distribution detection by cross-class vicinity distribution of in-distribution data Z Zhao, L Cao, KY Lin IEEE Transactions on Neural Networks and Learning Systems, 2023 | 1 | 2023 |
| Rethinking CLIP-based Video Learners in Cross-Domain Open-Vocabulary Action Recognition KY Lin, H Ding, J Zhou, YX Peng, Z Zhao, CC Loy, WS Zheng arXiv preprint arXiv:2403.01560, 2024 | | 2024 |
| R-divergence for Estimating Model-oriented Distribution Discrepancy Z Zhao, L Cao Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Out-of-Distribution Knowledge Distillation via Confidence Amendment Z Zhao, L Cao, Y Zhang arXiv preprint arXiv:2311.07975, 2023 | | 2023 |
| Label and Distribution-discriminative Dual Representation Learning for Out-of-Distribution Detection Z Zhao, L Cao arXiv preprint arXiv:2206.09387, 2022 | | 2022 |
