Representative Publications


Publications by Areas (DBLP List of Publications)

MULTIMEDIA DATABASES AND DATA MINING

1. Wei-Bang Chen and Chengcui Zhang, “An Innovative Multiple-Object Image Retrieval Framework Using Hierarchical Region Tree,” International Journal of Multimedia Data Engineering & Management, 4(3), 1-23, July-September, 2013. [Impact factor: 0.912] [Link]

2. Chengcui Zhang, Liping Zhou, Wen Wan, Jeffrey Birch, and Wei-Bang Chen, “An Image Clustering and Feedback-based Retrieval Framework,” International Journal of Multimedia Data Engineering & Management, pp. 55-74, Vol. 1, Issue 1, 2010. [Link]

3. Lin Yang, John Johnstone, and Chengcui Zhang, Ranking canonical views for tourist attractions, International Journal of Multimedia Tools and Applications, pp. 573-589, Vol. 46, No. 2-3/January, 2010. [Link[Impact factor: 1.058]

4. Chengcui Zhang and Xin Chen, Semantic Retrieval of Events from Indoor Surveillance Video Databases, Pattern Recognition Letters, Vol.30, Issue 12, September 2009, pp. 1067-1076. [Impact Factor: 2008: 1.559] [Link]

5. Xin Chen, Chengcui Zhang, Shu-Ching Chen, and Stuart H. Rubin, A Human-Centered Multiple Instance Learning Framework for Semantic Video Retrieval, IEEE Transactions on Systems, Man, and Cybernetics: Part C, vol. 39, issue 2, pp. 228-233, 2009. [Impact Factor: 1.375] [Link]

6. Ying Liu, Xin Chen, Chengcui Zhang, and Alan Sprague, Semantic Clustering for Region-based Image Retrieval, Journal of Visual Communication and Image Representation, vol. 20, no. 2, pp. 157-166, Feb. 2009. [Impact Factor: 1.342] [Link]

7. Shu-Ching Chen, Stuart H. Rubin, Mei-Ling Shyu, and Chengcui Zhang, A Dynamic User Concept Pattern Learning Framework for Content-Based Image Retrieval, IEEE Transactions on Systems, Man, and Cybernetics: Part C, Volume 36, Issue 6, pp. 772-783, November 2006. [Impact Factor: 2.105] [Link]

8. Shu-Ching Chen, Mei-Ling Shyu, Srinivas Peeta, Chengcui Zhang, Learning-Based Spatio-Temporal Vehicle Tracking and Indexing for Transportation Multimedia Database Systems,IEEE Transactions on Intelligent Transportation Systems,vol. 4, No. 3, pp. 154-167, September, 2003. [Impact Factor: 2.844] [Link]

9. Xin Chen and Chengcui Zhang, A Spatio-Temporal Database Model on Transportation Surveillance Videos, Proceedings of the 3rd workshop on Spatio-Temporal Database Management, in conjunction with VLDB06, pp. 17-24, September 11, 2006, Seoul, Korea. [Link]

MULTIMEDIA FORENSICS AND SECURITY

1. Lin Yang, Wei-Bang Chen, Chengcui Zhang, John Johnstone, Gary Warner, and Song Gao, “Profiling Online Auction Sellers by Image Editing Styles,” IEEE Multimedia, pp. 29-39, Vol. 19, Issue 1, Jan. 2012. [Impact Factor: 2.258] [Link]

2. Chengcui Zhang, Xin Chen, Wei-Bang Chen, and Lin Yang, Spam Image Clustering for Identifying Common Sources of Unsolicited Emails, International Journal of Digital Crime and Forensics, Vol. 1, Issue 3, pp. 1-20, 2009. [Link[Impact factor: 0.38]

3. Song Gao, Manar Mohamed, Nitesh Saxena, and Chengcui Zhang, “Defeating a Game CAPTCHA with Efficient and Robust Hybrid Attacks,” accepted for publication, Proceedings of the 2014 IEEE International Confrence on Multimedia and Expo (ICME), July 14-18, 2014, Chengdu, China. [Acceptance Rate of Full Papers: 13.78%][Link]

4. Manar Mohamed, Niharika Sachdeva, Michael Georgescu, Song Gao, Nitesh Saxena, and Chengcui Zhang, Ponnurangam Kumaraguru, Paul C. Van Oorschot and Wei-Bang Chen, “A Three-Way Investigation of a Game-CAPTCHA: Automated Attacks, Relay Attacks andUsability,” In ACM Symposium on Information, Computer and Communications Security, pp. 195-206, June 2014. [Acceptance Rate: 20%][Link]

5. Song Gao, Chengcui Zhang, and Wei-Bang Chen, “Identifying Image Spam Authorship with Variable Bin-Width Histogram-based Projective Clustering,” Proceedings of 2011 IEEE International Conference on Multimedia and Expo (ICME2011), Jul. 11-15, 2011, Barcelona, Spain. [Accepted as a top 15% paper, and selected for oral presentation at a selection rate of 8% out of 744 submissions] [Link]

6. Xin Chen and Chengcui Zhang, An Interactive Semantic Video Mining and Retrieval Platform – Application in Transportation Surveillance Video for Incident Detection, Proceedings of the 2006 IEEE International Conference on Data Mining (ICDM), pp. 129-138, December 18-22, 2006, Hong Kong, China. (Acceptance rate of regular paper < 10%, best paper nomination) [Link]

7. Xin Chen, Chengcui Zhang, Shu-Ching Chen, and Min Chen, A Latent Semantic Indexing Based Method for Solving Multiple Instance Learning Problem in Region-based Image Retrieval, Proceedings of the 2005 IEEE International Symposium on Multimedia (ISM 2005), pp. 37-44, December 12-14, 2005, Irvine, California, USA. (Alabama IEEE Best Paper of 2005 and 2006 Award: 2nd place) [Link]

8. Manar Mohamed, Song Gao, Nitesh Saxena, and Chengcui Zhang, “Detecting Streaming-Enabled Game CAPTCHA Farming Using Gameplay Behavior,” 2014 Workshop on Usable Security, co-located with 2014 Network and Distributed System Security (NDSS) Symposium, Feb. 23-26, San Diego, CA, USA. [Link

GEOINFORMATICS AND COMPUTER VISION

1. Jianhua Yan, Keqi Zhang, Chengcui Zhang, Shu-Ching Chen, and Giri Narasimhan, “Automatic Construction of 3D Building Model From Airborne LIDAR Data Through 2D Snake Algorithm,” IEEE Trans. on Geoscience and Remote Sensing, 53(1), pp. 3-14, January, 2015. [Impact factor: 3.47] [Link]

2. Keqi Zhang, Shu-Ching Chen, Dean Whitman, Mei-Ling Shyu, Jianhua Yan, and Chengcui Zhang, A Progressive Morphological Filter for Removing Non-Ground Measurements from Airborne LIDAR Data, IEEE Trans. on Geoscience and Remote Sensing, Vol. 41, Issue 4, pp. 872-882, April 2003. [Impact factor: 3.157] [Link]

3. Jianhua Yan, Keqi Zhang, Chengcui Zhang, et al. A Graph Reduction Method for 2D Snake Problems, Proceedings of the 2007 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR07), June 18-23, 2007, Minneapolis, MN, USA. (Poster. Acceptance Rate: 28%) [Link]

BIOINFORMATICS

1.  Wei-Bang Chen and Chengcui Zhang, A Hybrid Framework for Protein Sequences Clustering and Classification Using Signature Motif Information, Journal of Integrated Computer-Aided Engineering, Volume 16 Issue 4, pp. 353-365, December 2009. [Impact Factor: 3.451] [Link]

2. Richa Tiwari, Chengcui Zhang, Thamar Solorio, and Wei-Bang Chen “A Supervised Machine Learning Approach of Extracting and Ranking Published Papers Describing Coexpression Relationships among Genes,” Edited by Özyer, Tansel; Mehr, Keivan Kian; Tan, Mehmet, Recent Trends in Information Reuse and Integration, Springer-Verlag, 2012, ISBN 978-3-7091-0737-9. [Link]

3. Wei-Bang Chen and Chengcui Zhang, “Handbook of Research on Dental Computing and Applications: Advanced Techniques for Clinical Dentistry.” PP. 134-145. Edited by Dr. Andriani Daskalaki, IGI Global, 2009, ISBN-10: 1605662925. [Link]

4. Chengcui Zhang, Wei-Bang Chen, Lin Yang, Xin Chen, and John Johnstone, Automatic in vivo Microscopy Video Mining for Leukocytes, SIGKDD Explorations, Volume 9, Issue 1, pp. 30-37, June 2007. [Impact factor: 0.58] [Link]

5. Wei-Bang Chen, Chengcui Zhang, and Wei-Lin Liu, An Automatic and Robust Method for Microarray Image Analysis and the Related Information Retrieval for Microarray Databases, Proceedings of the IEEE International Workshop on Multimedia Databases and Data Management (MDDM), in conjunction with IEEE International Conference on Data Engineering (ICDE 2007), pp. 85-94, April 15-20, 2007, Istanbul, Turkey. [Link

SOCIAL NETWORKS

9. Zhan Bu, Chengcui Zhang, Zhengyou Xia, and Jiandong Wang, “A Fast Parallel Modularity Optimization Algorithm (FPMQA) for Community Detection in Online Social Network,” Knowledge-Based Systems, vol. 50, September 2013, pp. 246-259. [Impact factor: 2.422] [Link]

10. Zhan BuZhengyou XiaJiandong Wang and Chengcui Zhang, “A Last updating evolution model for online social networks”, Physica A: Statistical Mechanics and its ApplicationsVolume 392, Issue 9, 1 May 2013, Pages 2240–2247, May 2013. [Impact factor: 1.373][Link]

11. Zhan Bu, Chengcui Zhang, Zhengyou Xia and Jiandong Wang, “An FAR-SW based Approach for Webpage Information Extraction”, Information Systems Frontiers, SI: Information Reuse, Integration, and Reusable Systems, February 2013, pp. 1-15. [Impact factor: 0.912] [Link

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