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10. The cooperation agreement with Huawei Technologies Co., Ltd has entered the stage of signing, 26/12/2014.

9. The cooperation with FiberHome Technologies Group has reached an agreement, 18/12/2014.

8.The submission, "C-Cube: Elastic Continuous Clustering in the Cloud", is accepted by ICDE'13, 2013. 15/10/2012.

7.The paper, entitled "RDF Pattern Matching using Sortable Views", is accepted by CIKM'12. 21/8/2012.

6.Organizing Co-Chair of the International Workshop on Intelligent Analysis in Healthcare(IAH 2012), 15/7/2012.

5.The paper, entitled "RDF Query Evaluation via Equvialence" is accepted by Frontiers of Computer Science. 20/7/2012.

4.The submission to NDBC 2011 is accepted. 14/6/2011.

3.The submission to WAIM 2011 is accepted. 14/6/2011.

2.The submission to IUCS 2010 is accepted. 19/10/2010.

1.The submission to CIKM 2010 is accepted. 19/07/2010.

 

 

 

 

 

 

 

 

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Associate Professor
I am now an associate professor in the School of Computer Science & Engineering, Southeast University, Nanjing, China, 211189.
    1. B.E. of Computing Technology 30/Jan/1991 Nanjing University of Information Science and Technology
    2. M.S. of Economics 30/Jan/2000 Research Institute of Fiscal Science, the Ministry of Finance of China
    3. Ph.D. of Computer Science 30/Jan/2006 Fudan University
Research: Semantics & Big Data, Data Mining & Machine Learning, Data Visualization, Natural Language Processing.
I am interested in data-driven applications by integrating database(DataLog, Data Storage, Transaction Management) and artificial intelligence techniques(Knowledge/Data Meaning, Reasoning, Learning) in the context of big data from the World Wide Web, which is referred to as Data and Intelligence (D & Intel) by me. The following directions cover the main part of my application-oriented research venture.
  1. Big Data: Programming Model, System and Algorithm for Storage of, Machine Learning and Reasoning on, Big Data and Knowledge.
  2. Storage /Learning&Reasoning/Visualization of Big Graph-Structured Data/Streams Enhanced with Semantic Techniques Under (Asynchronously) Massive Parallel Computation Models
  3. Application: Image and Natural Language Processing via Machine Learning, Knowledge and Big Data Platform.
1. Information Extraction 2. Data Visualization 3. Behavior Analysis 4. Complex Network 5. Image and Natural Language Processing
Reasoning/Query: Data Structure/Semantics(knowledge)
Learning & Mining of Big Data/Knowledge
Unstructured Data Processing via Machine Learning and Knowledge
Programming Model & System/Algorithm for Big Data/Knowledge/Data Streams (Tensorflow/Hadoop/Spark/Storm/Pregel/...)
/*POTENTIAL MASTER STUDENTS WHO ARE INTERESTED IN MY RESEARCH ARE WELCOME TO TALK TO ME!

Selected Research Grant

11. Unveiling the Mind of Big E-Business Platform's Customers via Deep Learning, supported by Focus Technology Co., Ltd, 5/2016~6/2017. Principal Investigator.

10. Large-scale RDF Storage using Big Data Technology, supported by the 28th Research Institute of China Electronics Technology Group Corporation, 9/2016~9/2017, Principal Investigator.

9. Deep Learning for Image Retrieval on E-Business Platform, supported by Focus Technology Co., Ltd, 1/2016~6/2016. Principal Investigator.

8. Mining regular patterns from trajectory data in the presence of knowledge, supported by Focus Technology Co., Ltd, 9/2015~4/2016. Principal Investigator.

7. Real time visualization of Twitter's Storm system status, supported by University of Illinois Research Center in Singapore, 7/2015~9/2015, Visiting Postdoctoral Researcher.

6. Visualization of Customers' Behaviors in the World Wide Web from the View of Business, Supported by Huawei Technologies Co., Ltd, 1/2015~9/2015. Principle Investigator.

5. Big Semantic Data Processing and Visualization for Public Security Intelligence Agency, Supported by One of the Leading China Companies (Anonymous for Confidential Issue) in This Field, 12/2014~12/2015. Principal Investigator.

4. Information Extraction from Specific Web Pages via Machine Learning & Natural Language Processing in the Presence of RDFS Knowledge, Supported by Focus Technology Co., Ltd, 7/2014~7/2015. Principal Investigator.

3. Analysis and visualization of Browsing Behavior on Made-in-China Website via Big Data Platform, Supported by Focus Technology Co., Ltd, 7/2014~7/2015. Principal Investigator.

2. Big Data Processing of Readings of Electric Meters in Jiangsu Smart Power Grids, Supported by Jiangsu Frontier Electric Technology Co., Ltd, 12/2013~6/2014. Principal Investigator.

1. Distributed Refined Synopsis of Data Streams, Supported by National Natural Science Foundation of China (Grant No. 60973023,1/2010~12/2012). Principal Investigator.

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Selected Research Publication

9. Zhenjie Zhang, Hu Shu, Zhihong Chong, Hua Lu, Yin Yang. C-Cube: Elastic Continuous Clustering in the Cloud. IEEE ICDE 2013.

8. Zhihong Chong, He Chen, Zhenjie Zhang, Hu Shu, Guilin Qi, Aoying Zhou. RDF Pattern Matching using Sortable Views. ACM CIKM 2012. Slides.

7. Weiwei Ni, Zhihong Chong, Hu Shu, Jiajia Bao, Aoying Zhou. Evaluation of RDF Queries via Equivalence. Frontiers of Computer Science. 2012.

6. Zhihong Chong, Guilin Qi, Hu Shu, Jiajia Bao, Weiwei Ni, Aoying Zhou. Open User Schema Guided Evaluation of Streaming RDF Queries. ACM CIKM 2010.

5. Weiwei Ni, Jinwang Zheng, Zhihong Chong. HilAnchor: Location Privacy Protection in the Presence of Users' Preference. Journal of Computer Science and Technolog (JCST)27(2). 2012.

4. Zhihong Chong, Jeffrey Xu Yu, Zhengjie Zhang, Xuemin Lin, Wei Wang, Aoying Zhou. Efficient Computation of k-Medians over Data Streams Under Memory Constraints. Journal of Computer Science and Technolog (JCST) 21(2). 2006

3. Jeffrey Xu Yu, Zhihong Chong, Hongjun Lu, Zhenjie Zhang, Aoying Zhou. A False Negative Approach to Mining Frequent Itemsets from High Speed Transactional Data Streams. Information Sciences 176(14). 2006 .

2. Zhihong Chong, Jeffery Xu Yu, Hongjun Lu, Zhenjie Zhang, Aoying Zhou. False-Negative Freuqent Items Mining from Data Streams with Bursting. DASFAA 2005.

1. Jeffrey Xu Yu, Zhihong Chong, Hongjun Lu, Aoying Zhou. False Positive or False Negative: Mining Frequent Itemsets from High Speed Transactional Data Streams. VLDB 2004

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>>My Publication@DBLP  >>My Publication@C-DBLP

Scholar Home 崇志宏 Zhihong Chong 东南大学

崇志宏 Zhihong Chong 崇志宏 Zhihong Chong 崇志宏 Zhihong Chong 崇志宏 Southeast University Database Graph Data Structure