Michael Ruisi Yu
B.Sc., Ph.D. (UNSW)
Signal Processing, Massive MIMO, Wireless Communication
Dr. Michael Ruisi Yu is a lecturer at the Department of Computer Science and Engineering, The Chinese University of Hong Kong.
His research interests encompass topics that study large-scale graph data management and mining: the effective organization of data and efficient data processing.
He received his BSc (Hons) in Computer Science and obtained his Ph.D. under the Data and Knowledge Research Group at the University of New South Wales.
Prior to his appointment at the Chinese University of Hong Kong, Michael also served as an associate lecturer at the University of New South Wales, Australia, where he taught as the lecturer-in-charge for both undergraduate and postgraduate courses. His courses covered topics such as Data Analytics for Graphs, Database Systems, and Introduction to Data Science.
He is grateful for the opportunity and eagerly anticipates many engagements to promote a successful learning experience for students. He looks forward to working alongside the teaching community and staff of CSE and humbly welcomes any guidance toward a fulfilling role.
- Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang: Query driven-graph neural networks for community search: from non-attributed, attributed, to interactive attributed. Proceedings of the VLDB Endowment, 2022
- Yuli Jiang, Xin Huang & Hong Cheng: I/O efficient k-truss community search in massive graphs. The VLDB Journal, 2021
- Yuli Jiang; Xin Huang; Hong Cheng; Jeffrey Xu Yu: VizCS: Online Searching and Visualizing Communities in Dynamic Graphs. 2018 IEEE 34th International Conference on Data Engineering (ICDE)