Please feel free to drop me an email for some discussion or collaboration.

I am a principle researcher at Huawei Noah's Ark Lab. I received the B.S. degree in Automation from the University of Science and Technology of China, and the Ph.D. degree from Industrial Systems Engineering and Management Department, National University of Singapore, respectively. My research interests include pattern mining and machine learning, and their applications in sequence and graph data. I am also possoniate in music, dance and various sports, e.g., diving, hiking & badminton.

Research:      Google Scholar     ORCID




  1. B. Li, M.Zhou, S.Zhang, M.Yang, D.Lian, Z.Huang.BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. SIGIR, 2022. [PDF]
  2. M.Zhou, B. Li, M.Yang and L.Pan(2022) TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction. GLB@ Webconf, 2022
  3. M. Yang, M.Zhou and et al. HRCF: Enhanced Collaborative Filter via Hyperbolic Geometric Regularization. Webconf, 2022.
  4. J. Liu, M.Zhou and et al. Discovering Representation Attribute-stars via Minimum Description Length. ICDE, 2022.
  5. J. Liu, M.Yang, M.Zhou and et al. Enhancing Hyperbolic Graph Embeddings via Contrastive Learning. SSL@Neurips, 2021
  6. M. Yang, M.Zhou and et al. Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning.KDD, 2021.
  7. Z.Huang, S.Zhang, C.Xi, T.Liu and M.Zhou. Scaling Up Graph Neural Networks Via Graph Coarsening. KDD, 2021.[pdf]


  1. J.Liu, F.Philippe, M.Zhou,and G.He.(2022)Discovering Compressing Stars in Attributed Graphs. Information Sciences.
  2. F‐V., Philippe, ..., M.Zhou, et al.(2020)A survey of pattern mining in dynamic graphs. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
  3. J. Hu, M.Zhou, X.Li and, Z.Xu. (2016) Online Model Regression for Nonlinear Time-varying Manufacturing Systems. Automatica .
  4. M.Zhou, T.N. Goh. (2016) Iterative Designed Experiment Analysis (IDEA). Quality and Reliability Engineering International. .
  5. M.Zhou, T.N. Goh. (2015) Effects of Model Accuracy on Residual Control Charts. Quality and Reliability Engineering International. .


  1. M.Yang, M.Zhou and et al. (2022) Hyperbolic Graph Representation Learning: Methods and Applications. arXiv
  2. M. Klander, M.Zhou,and et al.(2020) Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks. arXiv.