| Method and dataset entity mining in scientific literature: a CNN+ BiLSTM model with self-attention L Hou, J Zhang, O Wu, T Yu, Z Wang, Z Li, J Gao, Y Ye, R Yao Knowledge-Based Systems 235, 107621, 2022 | 31 | 2022 |
| Music classification using an improved crnn with multi-directional spatial dependencies in both time and frequency dimensions Z Wang, S Muknahallipatna, M Fan, A Okray, C Lan 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 22 | 2019 |
| A distributed fair machine learning framework with private demographic data protection H Hu, Y Liu, Z Wang, C Lan 2019 IEEE International Conference on Data Mining (ICDM), 1102-1107, 2019 | 19 | 2019 |
| Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection. Z Wang, C Lan International Joint Conference on Artificial Intelligence (IJCAI), 2420-2426, 2020 | 17 | 2020 |
| Graph Decipher: A transparent dual‐attention graph neural network to understand the message‐passing mechanism for the node classification Y Pang, T Huang, Z Wang, J Li, P Hosseini, J Zhang, C Liu, S Ai International Journal of Intelligent Systems 37 (11), 8747-8769, 2022 | 12 | 2022 |
| Sparse‐Dyn: Sparse dynamic graph multirepresentation learning via event‐based sparse temporal attention network Y Pang, A Shan, Z Wang, M Wang, J Li, J Zhang, T Huang, C Liu International Journal of Intelligent Systems 37 (11), 8770-8789, 2022 | 8 | 2022 |
| Cross-modality person re-identification with memory-based contrastive embedding D Cheng, X Wang, N Wang, Z Wang, X Wang, X Gao Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 425-432, 2023 | 5 | 2023 |
| Neighbour consistency guided pseudo-label refinement for unsupervised person re-identification D Cheng, H Tai, N Wang, Z Wang, X Gao arXiv preprint arXiv:2211.16847, 2022 | 5 | 2022 |
| Inductive multi-view semi-supervised anomaly detection via probabilistic modeling Z Wang, M Fan, S Muknahallipatna, C Lan 2019 IEEE International Conference on Big Knowledge (ICBK), 257-264, 2019 | 5 | 2019 |
| Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks Z Wang, Y Zhang, A Jiang, J Zhang, Z Li, J Gao, K Li, C Lu, Z Ren ACM International Conference on Information & Knowledge Management(CIKM …, 2021 | 4 | 2021 |
| JointContrast: skeleton-based interaction recognition with new representation and contrastive learning J Zhang, X Jia, Z Wang, Y Luo, F Chen, G Yang, L Zhao Algorithms 16 (4), 190, 2023 | 3 | 2023 |
| A novel tag number estimation method for RFID systems Z Wang, G Wen, Y Yang 2013 IEEE 4th International Conference on Software Engineering and Service …, 2013 | 3 | 2013 |
| Efficient bilateral cross-modality cluster matching for unsupervised visible-infrared person reid D Cheng, L He, N Wang, S Zhang, Z Wang, X Gao Proceedings of the 31st ACM International Conference on Multimedia, 1325-1333, 2023 | 2 | 2023 |
| Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation Z Wang, Y Zhang, Y Pang, N Wang, MJ Bah, K Li, J Zhang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 2 | 2023 |
| Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data Z Wang, J Zhang, Y Chen, C Lu, JCW Lin, J Xiao, RU Kiran Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2021 | 2 | 2021 |
| Irregularly Sampled Multivariate Time Series Classification: A Graph Learning Approach Z Wang, T Jiang, Z Xu, J Gao, J Zhang IEEE Intelligent Systems, 2023 | 1 | 2023 |
| Hiding visual information via obfuscating adversarial perturbations Z Su, D Zhou, N Wang, D Liu, Z Wang, X Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| JointContrast: Skeleton-Based Mutual Action Recognition with Contrastive Learning X Jia, J Zhang, Z Wang, Y Luo, F Chen, J Xiao Pacific Rim International Conference on Artificial Intelligence, 478-489, 2022 | 1 | 2022 |
| DAMA-Net: A Novel Predictive Model for Irregularly Asynchronously and Sparsely Sampled Multivariate Time Series Z Wang, Y Zhang, A Jiang, J Zhang, Z Li, J Gao, K Li, C Lu | 1 | |
| Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series Z Wang, T Jiang, Z Xu, J Gao, O Wu, K Yan, J Zhang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
Ji ZhangThe University Southern QueenslandVerified email at usq.edu.au
