| A survey of pattern mining in dynamic graphs P Fournier‐Viger, G He, C Cheng, J Li, M Zhou, JCW Lin, U Yun Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (6 …, 2020 | 19 | 2020 |
| Discrete-time temporal network embedding via implicit hierarchical learning in hyperbolic space M Yang, M Zhou, M Kalander, Z Huang, I King Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 13 | 2021 |
| Online model regression for nonlinear time-varying manufacturing systems J Hu, M Zhou, X Li, Z Xu Automatica 78, 163-173, 2017 | 9 | 2017 |
| Scaling up graph neural networks via graph coarsening Z Huang, S Zhang, C Xi, T Liu, M Zhou Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 8 | 2021 |
| Effects of model accuracy on residual control charts M Zhou, TN Goh Quality and Reliability Engineering International 32 (5), 1785-1794, 2016 | 7 | 2016 |
| HRCF: Enhancing collaborative filtering via hyperbolic geometric regularization M Yang, M Zhou, J Liu, D Lian, I King Proceedings of the ACM Web Conference 2022, 2462-2471, 2022 | 5 | 2022 |
| A survey of machine learning for network fault management M Nouioua, P Fournier-Viger, G He, F Nouioua, Z Min Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics, 1-27, 2021 | 4 | 2021 |
| An influence-based approach for root cause alarm discovery in telecom networks K Zhang, M Kalander, M Zhou, X Zhang, J Ye International Conference on Service-Oriented Computing, 124-136, 2020 | 4 | 2020 |
| Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks M Kalander, M Zhou, C Zhang, H Yi, L Pan https://arxiv.org/abs/2009.09849, 2020 | 4 | 2020 |
| Iterative designed experiment analysis (IDEA) M Zhou, TN Goh Quality and Reliability Engineering International 32 (8), 2977-2986, 2016 | 4 | 2016 |
| Enhancing hyperbolic graph embeddings via contrastive learning J Liu, M Yang, M Zhou, S Feng, P Fournier-Viger arXiv preprint arXiv:2201.08554, 2022 | 3 | 2022 |
| Discovering alarm correlation rules for network fault management P Fournier-Viger, G He, M Zhou, M Nouioua, J Liu International Conference on Service-Oriented Computing, 228-239, 2020 | 3 | 2020 |
| Hyperbolic Graph Neural Networks: A Review of Methods and Applications M Yang, M Zhou, Z Li, J Liu, L Pan, H Xiong, I King arXiv preprint arXiv:2202.13852, 2022 | 2 | 2022 |
| Air quality modeling via PM2. 5 Measurements M Zhou, TN Goh Theory and Practice of Quality and Reliability Engineering in Asia Industry …, 2017 | 2 | 2017 |
| Design of model predictive control for time-varying nonlinear system based on gaussian process regression modeling M Zhou, ZQ Guo, X Li 2016 IEEE 21st International Conference on Emerging Technologies and Factory …, 2016 | 2 | 2016 |
| Boosting Factorization Machines via Saliency-Guided Mixup C Wu, D Lian, Y Ge, M Zhou, E Chen, D Tao arXiv preprint arXiv:2206.08661, 2022 | | 2022 |
| Discovering Representative Attribute-stars via Minimum Description Length J Liu, M Zhou, P Fournier-Viger, M Yang, L Pan, M Nouioua arXiv preprint arXiv:2204.12704, 2022 | | 2022 |
| BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction B Li, M Zhou, S Zhang, M Yang, D Lian, Z Huang arXiv preprint arXiv:2204.09508, 2022 | | 2022 |
| TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction M Zhou, B Li, M Yang, L Pan arXiv preprint arXiv:2204.07703, 2022 | | 2022 |
| Environmental Quality: A Case Study of Public Perceptions and Scientific Reality J Li, TN Goh, M Zhou Theory and Practice of Quality and Reliability Engineering in Asia Industry …, 2017 | | 2017 |
Philippe Fournier-VigerDistinguished professor, Shenzhen University, ChinaVerified email at szu.edu.cn
