|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: Logic and Deep Learning for Data Science and Engineering
I am interested in the applicaton of Artificial Intelligence in data science and engineering, including logic and deep learning methods in the context of big data from the World Wide Web, which is referred to as Data and Intelligence (D & Intel). The following directions cover the main part of my application-oriented research venture.
|1. Engineering AI Software: Programming Model for Deep Learning and Reasoning on Large Scale Platforms(Engineering Artificial Intelligence Software )|
|2. Model and Algorithm: Knowledge-Enhanced Deep Learning Models and Large Scale Training Algorithms|
|3. Application: Large Scale Knowledge Graph, Natural Language Processing, Image Understanding, Social Behavior Analysis......|
|4. Blockchain System: Decentralized Applications via the Internet|
/*POTENTIAL MASTER STUDENTS WHO ARE INTERESTED IN MY RESEARCH ARE WELCOME TO TALK TO ME!
Selected Research Grant
12. Decentralized Application Developement via Blockchain Platform, supported by Hande FinMaker， 1/2017~12/2017. Principal Investigator（负责人）.
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. Storage of Large Scale Knowledge Graph 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.
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.
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.
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.
崇志宏 Zhihong Chong 崇志宏 Zhihong Chong 崇志宏 Zhihong Chong 崇志宏 Southeast University Database Graph Data Structure