Awards


Knowledge Exchange Award (Engineering) 2021

SIGMOD Research Highlights Award 2020


Publications
Year
Article
2021
Li, X., Cheng, R., Chang, KCC., Shan, C., Ma, C., & Cao, H. (2021). On analyzing graphs with motif-paths. VLDB Endowment 14 (6), 1111-1123.
2021
Chan, TN., Li, Z., Xu, J., & Cheng, R. (2021). Fast Augmentation Algorithms for Network Kernel Density Visualization. Proceedings of the VLDB Endowment 14 (9), 1503-1516.
2021
Chan, TN., Ip, PL., LH, U., Tong, WH., Mittal, S., Li, Y., & Cheng, R. (2021). KDV-Explorer: A near real-time kernel density visualization system for spatial analysis. Proc. VLDB Endow.
2021
Zhang, N., Jia, W., Wang, P., Dung, CH., Zhao, P., Leung, K., Su, B., Cheng, R., & Li, Y. (2021). Changes in local travel behaviour before and during the COVID-19 pandemic in Hong Kong. Cities (112), 103139.
2020
C. Ma*, Y. Fang, R. Cheng, L. Lakshmanan, W. Zhang, and X. Lin. Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs. In the ACM SIGMOD Conf. (SIGMOD 2020), Portland, OR, USA, Jun 2020. (Selected for SIGMOD Research Highlights Award 2020)
2020
T. N. Chan*, R. Cheng, and M. L. Yiu. QUAD: Quadratic-Bound-based Kernel Density Visualization. In the ACM SIGMOD Conf. (SIGMOD 2020), Portland, OR, USA, Jun 2020.
2019
Y. Fang, K. Yu, R. Cheng, L. Lakshmanan. Efficient Algorithms for Densest Subgraph Discovery. In Proceedings of the VLDB Endowment (PVLDB), 12(11), pp. 1719-1732, July 2019. Also in the Very Large Databases Conf. (VLDB 2019), Los Angeles, Aug 2019.
2019
Y. Fang, X. Huang, L. Qin, Y. Zhang, W. Zhang, R. Cheng, and X. Lin. A survey of community search over big graphs. In the Very Large Data Bases Journal (VLDBJ), Springer, first online: Jul 2019.