| Automation and Orchestration of Zero Trust Architecture:Potential Solutions and Challenges Y Cao, S Pokhrel, Y Zhu, R Doss, G Li Machine Intelligence Research, 2024 | 18 | 2024 |
| A multimodal fusion network with attention mechanisms for visual–textual sentiment analysis C Gan, X Fu, Q Feng, Q Zhu, Y Cao, Y Zhu Expert Systems with Applications 242, 122731, 2024 | 15 | 2024 |
| Ripple Knowledge Graph Convolutional Networks For Recommendation Systems C Li, Y Cao, Y Zhu, D Cheng, C Li, Y Morimoto Machine Intelligence Research, 2024 | 15 | 2024 |
| Anomaly Detection Based on Isolation Mechanisms: A Survey Y Cao, H Xiang, H Zhang, Y Zhu, KM Ting arXiv preprint arXiv: 2403.10802, 2024 | 5 | 2024 |
| Detecting Change Intervals with Isolation Distributional Kernel Y Cao, Y Zhu, KM Ting, F Salim, HX Li, G Li Journal of Artificial Intelligence Research 79, 273-306, 2024 | 4 | 2024 |
| Near real-time federated machine learning approach over chest computed tomography for covid-19 diagnosis Y Cao International Conference on Applications and Techniques in Information …, 2021 | 3 | 2021 |
| A survey of dialogic emotion analysis: Developments, approaches and perspectives C Gan, J Zheng, Q Zhu, Y Cao, Y Zhu Pattern Recognition, 110794, 2024 | 2 | 2024 |
| An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark C Li, Y Cao, Y Zhu, J Zhang, A Annisa, D Cheng, H Tang, S Jiang, ... International Conference on Knowledge Science, Engineering and Management, 35-43, 2023 | 1 | 2023 |
| Kernel-Based Feature Extraction for Time Series Clustering Y Liu, Y Zhang, Y Cao, Y Zhu, N Zaidi, C Ranaweera, G Li, Q Zhu International Conference on Knowledge Science, Engineering and Management …, 2023 | 1 | 2023 |
| Mining area skyline objects from map-based big data using Apache Spark framework C Li, Y Zhu, Y Cao, J Zhang, A Annisa, D Cheng, Y Morimoto Array 25, 100373, 2025 | | 2025 |
| TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection Y Cao, S Yang, C Li, H Xiang, L Qi, B Liu, R Li, M Liu arXiv preprint arXiv:2501.11960, 2025 | | 2025 |
| Revisiting streaming anomaly detection: benchmark and evaluation Y Cao, Y Ma, Y Zhu, KM Ting Artificial Intelligence Review 58 (1), 1-24, 2025 | | 2025 |
| A Data-Driven Framework for Identifying Abnormal Status in Natural Gas Wells Y Cao, Y Ma, X Tang, RA Rasheed, HX Li International Conference on Advanced Data Mining and Applications, 105-119, 2024 | | 2024 |
| Kernel-based iVAT with adaptive cluster extraction B Zhang, Y Zhu, Y Cao, S Rajasegarar, G Li, G Liu Knowledge and Information Systems 66 (11), 7057-7076, 2024 | | 2024 |
| RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations K Zhou, Y Cao, T Kim, H Zhao, H Dong, KM Ting, Y Zhu arXiv preprint arXiv:2410.00713, 2024 | | 2024 |
| Detecting change intervals with isolation distributional kernel (abstract reprint) Y Cao, Y Zhu, KM Ting, FD Salim, HX Li, L Yang, G Li Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | | 2024 |
| Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint) C Cao, Y Zhu, KM Ting, FD Salim, HX Li, L Yang, G Li Deakin University, 2024 | | 2024 |
| Local Subsequence-Based Distribution for Time Series Clustering L Gong, H Zhang, Z Liu, KM Ting, Y Cao, Y Zhu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 259-270, 2024 | | 2024 |
| An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering B Zhang, Y Cao, Y Zhu, S Rajasegarar, G Liu, HX Li, M Angelova, G Li Pacific-Asia Conference on Knowledge Discovery and Data Mining, 197-209, 2023 | | 2023 |
Ye ZhuSenior Lecturer of Computer Science, Deakin UniversityПотвърден имейл адрес: deakin.edu.au