Hong Cheng
B.Sc. (Zhejiang University), M.Phil. (HKUST), Ph.D. (UIUC)
Professor (by courtesy)










ERB 707
+852 3943 8300
hcheng [@]se.cuhk.edu.hk

Research Areas

Artificial IntelligenceDeep Learning
Machine Learning
Data and Software EngineeringBig Data
Databases, Data Mining, and Knowledge Management


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Biography
Hong Cheng is a Professor in Department of Systems Engineering and Engineering Management at the Chinese University of Hong Kong. She received her Ph.D. in Computer Science from University of Illinois at Urbana-Champaign in 2008. Before that, she received her M.Phil. degree from Hong Kong University of Science and Technology in 2003, and B.S. degree from Zhejiang University in 2001.



Top Cited Publications
Jiawei Han, Hong Cheng, Dong Xin & Xifeng Yan: Frequent Pattern Mining: Current Status and Future Directions. Data Mining and Knowledge Discovery volume 15, pages55–86(2007)
Yang Zhou, Hong Cheng, Jeffrey Xu Yu: Graph Clustering Based on Structural/Attribute Similarities. Proceedings of the VLDB Endowment, August 2009
Hong Cheng, Xifeng Yan, Jiawei Han, Chih-Wei Hsu: Discriminative Frequent Pattern Analysis for E?ective Classi?cation. 2007 IEEE 23rd International Conference on Data Engineering
Xin Huang, Hong Cheng, Lu Qin, Wentao Tian, Jeffrey Xu Yu: Querying K-truss Community in Large and Dynamic Graphs. Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, June 2014, Pages 1311–1322
Jihang Ye, Hong Cheng, Zhe Zhu, Minghua Chen: Predicting Positive and Negative Links in Signed Social Networks by Transfer Learning. Proceedings of the 22nd international conference on World Wide Web, May 2013, Pages 1477–1488


Recent Publications
Chengzhi Piao, Weiguo Zheng, Yu Rong, Hong Cheng: Maximizing the Reduction Ability for Near-maximum Independent Set Computation. Proceedings of the VLDB Endowment (PVLDB), 13(11): 2466-2478, 2020.
Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao, Hong Cheng: Distributed Subgraph Counting: A General Approach. Proceedings of the VLDB Endowment (PVLDB), 13(11): 2493-2507, 2020
Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang: Adversarial Attack on Community Detection by Hiding Individuals. Proceedings of the 2020 World Wide Web Conference (WWW’20), Taipei, April 2020
Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan: Predicting Path Failure in Time-Evolving Graphs. Proceedings of the 2019 International Conference on Knowledge Discovery and Data Mining (KDD’19), Anchorage, AK, USA, August 2019
Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy Kwok, Hong Cheng: TATC: Predicting Alzheimer's Disease with Actigraphy Data. Proceedings of the 2018 International Conference on Knowledge Discovery and Data Mining (KDD’18), London, UK, August 2018


Achievements and Awards
Vice-Chancellor's Exemplary Teaching Award 2010, CUHK
Certificate of Recognition for the Finalist of the 2009 ACM SIGKDD Doctoral Dissertation Award, 2009
Best Student Paper Award, 2007 IEEE ICDE Conference
Best Student Paper Runner-Up Award, 2006 ACM SIGKDD Conference
Best Student Paper Runner-Up Award, 2005 ACM SIGKDD Conference