Prof. CHENG, Hong 程 鴻 教授
Professor
BS (Zhejiang University)
MPhil (The Hong Kong University of Science and Technology)
PhD (University of Illinois at Urbana-Champaign)
Research Interests :
* Graph Mining and Query Processing
* Social Network Analysis
* Data Mining for Software Reliability
Office: Room 707, William M.W. Mong Engineering Building
Tel: (852) 3943-8300
Email: hcheng@se.cuhk.edu.hk
Biography
Hong Cheng received her B.S. degree and M.Phil. degree in Computer Science from Zhejiang University and Hong Kong University of Science and Technology in 2001 and 2003, respectively. She then received her Ph.D. in Computer Science from University of Illinois at Urbana-Champaign in 2008. She joined the Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong in 2008. Her main research area is data mining and information systems.
She received the Certificate of Recognition for the 2009 SIGKDD Doctoral Dissertation Award, and the 2010 Vice-Chancellor’s Exemplary Teaching Award of The Chinese University of Hong Kong.
Selected Publications
Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan. Predicting Path Failure in Time-Evolving Graphs. Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 19), Anchorage, AK, USA, August 2019.
Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wenbing Huang, Junzhou Huang. Semi-supervised Graph Classification: A Hierarchical Graph Perspective. Proceedings of the 2019 Web Conference (WWW 19), San Francisco, CA, USA, May 2019.
Weiguo Zheng, Chengzhi Piao, Hong Cheng, Jeffrey Xu Yu. Computing A Near-Maximum Independent Set in Dynamic Graphs. Proceedings of the 2019 IEEE International Conference on Data Engineering (ICDE 19), Macau, April 2019.
Weiguo Zheng, Jeffrey Xu Yu, Lei Zou, Hong Cheng. Question Answering Over Knowledge Graphs: Question Understanding Via Template Decomposition. Proceedings of the VLDB Endowment (PVLDB), 11(11):1373-1386, 2018.
Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy Kwok and Hong Cheng. TATC: Predicting Alzheimer’s Disease with Actigraphy Data. Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 18), London, United Kingdom, August 2018.
Miao Qiao, Hao Zhang, Hong Cheng. Subgraph Matching: on Compression and Computation. Proceedings of the VLDB Endowment (PVLDB), 11(2): 176-188, 2017.
Qiankun Zhu, Hong Cheng, Xin Huang. I/O-efficient algorithms for top-k nearest keyword search in massive graphs. The VLDB Journal (VLDBJ), Vol.26, Issue 4, pages 563-583, 2017.
Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Hong Cheng, Cheng He, Caifeng He, Keli Zhang. An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis. Proceedings of the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 17), Canada, August 2017.
Xiaofei Zhang, Hong Cheng, Lei Chen. Bonding Vertex Sets Over Distributed Graph: A Betweenness Aware Approach. Proceedings of the VLDB Endowment (PVLDB), 8(12): 1418-1429, 2015.
Xin Huang, Laks V. S. Lakshmanan, Jeffrey Xu Yu, Hong Cheng. Approximate Closest Community Search in Networks. Proceedings of the VLDB Endowment (PVLDB), 9(4): 276-287, 2015.
Zechao Shang, Feifei Li, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng. Graph Analytics Through Fine-Grained Parallelism. Proceedings of the 2016 ACM SIGMOD International Conference on Management of Data (SIGMOD 16).
Yu Rong, Hong Cheng and Zhiyu Mo. “Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events”, Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 15), Sydney, Australia, August 2015.
Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin and Jeffrey Xu Yu. “Top-K Structural Diversity Search in Large Networks”, The VLDB Journal (VLDBJ), Vol. 24, Issue 3, pages 319-343, 2015.
Xin Huang, Hong Cheng, Lu Qin, Wentao Tian, and Jeffrey Xu Yu.“Querying K-Truss Community in Large and Dynamic Graphs”, Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data (SIGMOD 14). Snowbird, Utah, June 2014.
Lu Qin, Jeffrey Xu Yu, Lijun Chang, Hong Cheng, Chengqi Zhang, and Xuemin Lin. “Scalable Big Graph Processing in MapReduce”, Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data (SIGMOD 14). Snowbird, Utah, June 2014.
haoxu Song, Hong Cheng, Jeffrey Xu Yu, and Lei Chen. “Repairing Vertex Labels under Neighborhood Constraints”, Proceedings of the VLDB Endowment (PVLDB), 7(11), 2014.
u Rong, Xiao Wen, and Hong Cheng. “A Monte Carlo Algorithm for Cold Start Recommendation”, Proceedings of the 23rd International World-Wide Web Conference (WWW 14), Seoul, Korea, April 2014.
Tianyi Lin, Wentao Tian, Qiaozhu Mei, and Hong Cheng. “The Dual-Sparse Topic Model: Mining Focused Topics and Focused Terms in Short Text”, Proceedings of the 23rd International World-Wide Web Conference (WWW 14), Seoul, Korea, April 2014.
Miao Qiao, Hong Cheng, Lijun Chang and Jeffrey Xu Yu. “Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme”, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 26, No. 1, Pages 55-68, 2014.
Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin, and Jeffrey Xu Yu. “Top-K Structural Diversity Search in Large Networks”, Proceedings of the VLDB Endowment (PVLDB), 6(13), 2013.
Miao Qiao, Lu Qin, Hong Cheng, Jeffrey Xu Yu, and Wentao Tian. “Top-K Nearest Keyword Search on Large Graphs”, Proceedings of the VLDB Endowment (PVLDB), 6(10), 2013.
Miao Qiao, Hong Cheng, Lu Qin, Jeffrey Xu Yu, Philip S. Yu and Lijun Chang. “Computing Weight Constraint Reachability in Large Networks”, The VLDB Journal (VLDBJ), Vol. 22, Issue 3, pages 275-294, 2013.
Jihang Ye, Hong Cheng, Zhe Zhu, and Minghua Chen. “Predicting Positive and Negative Links in Signed Social Networks by Transfer Learning”, Proceedings of the 22nd International World-Wide Web Conference (WWW 13). Rio de Janeiro, Brazil, May 2013.