| Online spatio-temporal crowd flow distribution prediction for complex metro system Y Gong, Z Li, J Zhang, W Liu, Y Zheng IEEE Transactions on knowledge and data engineering 34 (2), 865-880, 2020 | 80 | 2020 |
| Network-wide crowd flow prediction of sydney trains via customized online non-negative matrix factorization Y Gong, Z Li, J Zhang, W Liu, Y Zheng, C Kirsch Proceedings of the 27th ACM international conference on information and …, 2018 | 64 | 2018 |
| Potential passenger flow prediction: A novel study for urban transportation development Y Gong, Z Li, J Zhang, W Liu, J Yi Proceedings of the AAAI conference on artificial intelligence 34 (04), 4020-4027, 2020 | 40 | 2020 |
| Multimodal marketing intent analysis for effective targeted advertising L Zhang, J Shen, J Zhang, J Xu, Z Li, Y Yao, L Yu IEEE Transactions on Multimedia 24, 1830-1843, 2021 | 34 | 2021 |
| Missing value imputation for multi-view urban statistical data via spatial correlation learning Y Gong, Z Li, J Zhang, W Liu, Y Yin, Y Zheng IEEE Transactions on Knowledge and Data Engineering 35 (1), 686-698, 2021 | 30 | 2021 |
| A spatial missing value imputation method for multi-view urban statistical data Y Gong, Z Li, J Zhang, W Liu, B Chen, X Dong Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 28 | 2021 |
| Bridging the web data and fine-grained visual recognition via alleviating label noise and domain mismatch Y Yao, X Hua, G Gao, Z Sun, Z Li, J Zhang Proceedings of the 28th ACM International Conference on Multimedia, 1735-1744, 2020 | 26 | 2020 |
| Sample adaptive multiple kernel learning for failure prediction of railway points Z Li, J Zhang, Q Wu, Y Gong, J Yi, C Kirsch Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 17 | 2019 |
| Field-wise learning for multi-field categorical data Z Li, J Zhang, Y Gong, Y Yao, Q Wu Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020 | 10 | 2020 |
| Distribution-aware margin calibration for semantic segmentation in images L Yu, Z Li, M Xu, Y Gao, J Luo, J Zhang International Journal of Computer Vision 130, 95-110, 2022 | 9 | 2022 |
| Detection of marine oil-like features in Sentinel-1 SAR images by supplementary use of deep learning and empirical methods: Performance assessment for the Great Barrier Reef … D Blondeau-Patissier, T Schroeder, G Suresh, Z Li, FI Diakogiannis, ... Marine Pollution Bulletin 188, 114598, 2023 | 8 | 2023 |
| Exploring linear feature disentanglement for neural networks T He, Z Li, Y Gong, Y Yao, X Nie, Y Yin 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 6 | 2022 |
| Towards better graph representation: Two-branch collaborative graph neural networks for multimodal marketing intention detection L Zhang, J Zhang, Z Li, J Xu 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 6 | 2020 |
| Field-regularised factorization machines for mining the maintenance logs of equipment Z Li, J Zhang, Q Wu, C Kirsch AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018 | 6 | 2018 |
| Missingness-pattern-adaptive learning with incomplete data Y Gong, Z Li, W Liu, X Lu, X Liu, IW Tsang, Y Yin IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 2 | 2023 |
| Incorporating multimodal cues for advertorial discovery L Zhang, J Zhang, J Shen, J Xu, Z Li, L Yu 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 2 | 2021 |
| Exploiting field dependencies for learning on categorical data Z Li, P Koniusz, L Zhang, DE Pagendam, P Moghadam IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 1 | 2023 |
| Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning L Zhang, Z Li, SS Chandra, F Nasrallah IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
| Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition M Ramezani, L Wang, J Knights, Z Li, P Pounds, P Moghadam IEEE Robotics and Automation Letters, 2023 | | 2023 |
| Big Data Analytics for Condition Based Monitoring and Maintenance Z Li | | 2020 |
Jian Zhang, PhDProfessor at University of Technology Sydney, AustraliaVerified email at uts.edu.au
