Danzhou Liu, Kien A. Hua, Khanh Vu, and Ning Yu. "Fast Query Point Movement Techniques for Large CBIR Systems". IEEE Transactions on Knowledge and Data Engineering, 21(5):729-743, 2009. [PDF]
Danzhou Liu, Kien A. Hua, and Ning Yu. "Efficiently Support Concurrent Queries in Multiuser CBIR Systems". International Journal of Multimedia Tools and Applications, 42(3):273-293, 2009.
Danzhou Liu, Kien A. Hua, and Kiminobu Sugaya. "A Generic Framework for Internet-based Interactive Applications of High-Resolution 3D Medical Image Data". IEEE Transactions on Information Technology in Biomedicine, 12(5):618-626, 2008. [PDF]
Danzhou Liu and Kien A. Hua. "Incremental Query Evaluation for Support Vector Machines". Under preparation.
Danzhou Liu and Kien A. Hua. "Transfer Non-metric Measures into Metric for Similarity Search". Under preparation.
Ning Yu, Kien A. Hua, and Danzhou Liu. "Query Decomposition: A Multiple Neighborhood Approach to RF in CBIR". Under journal review.
Ning Yu, Kien A. Hua, and Danzhou Liu. "Client-Side Relevance Feedback Approach for Image Retrieval in Mobile Environment". International Journal of Multimedia Data Engineering and Management, 2(2): 42-53, 2011.
Ning Jiang, Kien A. Hua, and Danzhou Liu. "A Scalable and Robust Approach to Collaboration Enforcement in Mobile Ad Hoc Networks". Journal of Communications and Networks, 9:56-66, 2007. [PDF]
Conference Papers
Danzhou Liu and Kien A. Hua. "Transfer Non-metric Measures into Metric for Similarity Search". To appear in Proceedings of the 17th ACM International Conference on Multimedia, 2009.
Danzhou Liu and Kien A. Hua. " Incremental Query Evaluation for Support Vector Machines". To appear in Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009.
Danzhou Liu, Kien A. Hua, and Hao Cheng. "Handle Local Optimum Traps in CBIR Systems". Proceedings of the 23rd Annual ACM Symposium on Applied Computing (SAC), 2008.
Hao Cheng, Kien A. Hua, Khanh Vu , and Danzhou Liu."Semi-Supervised Dimensionality Reduction in Image Feature Space". Proceedings of the 23rd Annual ACM Symposium on Applied Computing (SAC), 2008.
Hao Cheng, Yao Hua Ho, Kien A. Hua, Danzhou Liu, Fei Xie, and Ynn-Pyng Tsaur. "A Service-Oriented Approach to Storage Backup". Proceedings of the IEEE International Conference on Services Computing (SCC), 2008. (In the Industry Track, based on the Symantec Project). [PDF][PPT]
Danzhou Liu and Kien A. Hua. "Support Concurrent Queries in Multiuser CBIR Systems". Proceedings of the 23rd International Conference on Data Engineering (ICDE 2007).
Danzhou Liu, Kien A. Hua, and Ning Yu. "Enable Web-based Interactive Applications of High-resolution 3D Medical Image Data". Proceedings of the International Conference on Multimedia & Expo (ICME), 2007. (Oral, acceptance rate 16%)
Ning Yu, Kien A. Hua, and Danzhou Liu. "Client-side Relevance Feedback Approach for Image Retrieval in Mobile Environment". Proceedings of the International Conference on Multimedia & Expo (ICME), 2007.
Kien A. Hua and Danzhou Liu. "Query Point Movement Techniques for Content-based Image Retrieval". Invited to Encyclopedia of Database
Systems (Book chapter).
Danzhou Liu, Kien A. Hua, Khanh Vu, and Ning Yu. "Fast Query Point Movement Techniques with Relevance Feedback for Content-based Image Retrieval". Proceedings of the 10th International Conference on
Extending Database Technology (EDBT 2006), pages 700-717, March 2006. [PDF][PPT](Acceptance rate: 56/355 = 16%, and selected as one of the
top papers).
Kien A. Hua, Ning Yu, and Danzhou Liu. "Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval". Proceedings of the 22nd International Conference on Data Engineering (ICDE 2006), April 2006. [PDF] [Google Scholar Citation] (Acceptance rate: 89/456 = 19.5%).
Danzhou Liu, Kien A. Hua, and Kiminobu Sugaya. "A Framework for Web-based Interactive Applications of High-Resolution 3D Medical Image Data". Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems, 2006.
Danzhou Liu, Kien A. Hua, Khanh Vu, and Ning Yu. "Efficient Target Search with Relevance Feedback for Large CBIR Systems". Proceedings of the 21st Annual ACM Symposium on Applied Computing (SAC 2006), pages
1393-1397, April 2006.
Danzhou Liu and Charles E. Hughes. "Deducing Behaviors from Primitive Movement Attributes".
Proceedings of the SPIE International Symposium on Defense and Security, pages 180-189, March 2005.[PDF] [Google Scholar Citation]
Danzhou Liu, Ee-Peng Lim, and Wee-Keong Ng. "Efficient k Nearest Neighbor Queries on Remote Spatial Databases Using Range Estimation".
Proceedings of the 14th International Conference on Statistical and Scientific Database Management (SSDBM), pages 121-130, July 2002. [PDF][PPT] [Google Scholar Citation]
Efficient Techniques for Relevance Feedback Processing (PhD Dissertation). To improve the retrieval effectiveness in multimedia database systems, relevance feedback is widely used for query refinement. Efficient evaluation of such iterative queries can be a challenge, especially when the multimedia database contains a large number of entries, the search needs many iterations, the underlying distance measure is computationally expensive, and there are numerous concurrent accesses. To address these issues, I have developed a generic framework, including index structures and query optimization techniques for efficient relevance feedback processing. My contributions are: efficient target search techniques, handling local optimum traps, supporting concurrent accesses, fast query processing for Support Vector Machines, and reducing the number of expensive distance computation for k-NN queries in multimedia retrieval. This project is being developed with C, C++, Java, MySQL, and Matlab.
YMon Metrics Storage Benchmark Project (2008 Summer Intern at Yahoo!). The monitoring infrastructure group at Yahoo! provides technology used by the rest of the company to collect large amounts of real-time operational data on a global scale with new metrics being added daily. In this intern project, I surveyed existing time series storage systems used within Yahoo! and available in the open source world, developed a prototype to achieve flexibility to add new metrics and perform ad-hoc aggregation, and scalability to store massive metrics data, and finally provided a recommendation about which time series storage to use. This project was developed with Perl and MySQL.
UCF-Symantec Storage Grid: A Service-Oriented Approach (January 2006 - December 2007). We developed the Storage Grid, a new-generation backup technology for Symantec. Most existing data backup systems adopt the traditional client-server model. However, this model has the following shortcomings: static resource binding, no dynamic load balancing, underutilization of some servers, and high administration cost. To address these limitations, we propose a virtual storage service with the following features: single-instance storage to save storage and communication costs, adaptor architecture to support heterogeneous backup applications transparently, data replication to enhance data availability, data redirection to avoid job resubmission, and intelligent scheduling to balance workload and storage usage among nodes. Our project has been selected to be presented at the Symantec Cutting Edge Conference 2007, and a pending U.S. patent has been filed by Symantec Corporation. This project was developed with C, C++, MySQL, RRDtool, and Perl. [PDF][PPT]
Imagesoft Archive System Migration Project, sponsored by Fiserv Imagesoft. We have successfully converted the existing Sybase-based Imagesoft archive system running on Sun Solaris to an Oracle-based system running on the Red Hat Linux, while maintaining full functionality, taking advantage of appropriate Oracle features.
Research in Augmented and Virtual Environment Systems: Pervasive Computing in Augmented and Mixed Reality, sponsed by Office of Naval Research.
Design and Implementation of a Digital Library Infrastructure for Distributed Geospatial Data, a Singaren21 research project funded by National Science and Technology
Board (NSTB), Singapore. [URL]
China National Automatic Payment System (CNAPS). CNAPS is one of key national projects in China, aiming to develop China's advanced payment system to support: Commercial Payments (i.e., enterprises vs. enterprises, individuals vs. individuals), Interbank Payments and Central Bank Final Settlements.
