Artificial Intelligence, Pattern Recognition, and Robotics

 

Q. Kong and Q. Zhu, “Incremental procedures for partitioning highly intermixed multi-class datasets into hyper-spherical and hyper-ellipsoidal clusters,” Journal of Data and Knowledge Engineering, Vol.63, Issue 2, pp. 457-477, 2007.

K. Cao and Q. Zhu, “The Weed-out Trend Analysis for Micro-array Gene Expression Patterns,” Journal of Pattern Recognition Letters, Vol.28, Iss.12, Pp. 1472-1482, September 2007.

Q. Zhu, S. Aldridge, and T. Resha, “Hierarchical Collective Agent Network (HCAN) for Efficient Fusion and Management of Multiple Networked Sensors,” Journal of Information Fusion, Volume 8, Issue 3, pp. 266-280, July 2007.

S. Sarasamma, and Q. Zhu, “Min-Max Hyper-Ellipsoidal Clustering for Anomaly Detection in Network Security,” IEEE Transactions on Systems, Man, and Cybernetics, B, Vol. 36, No. 4, pp.887-901, August 2006.

Q. Zhu, “Topologies of agents interactions in knowledge Intensive multi-agent systems for networked information services,” International Journal of Advanced Engineering Informatics, Vol. 20, No. 1, pp. 31-45, January 2006.

S. Sarasamma, Q. Zhu, J. Huff, “Hierarchical Kohonen Net for Anomaly Detection in Network Security,” IEEE Transactions on Systems, Man, and Cybernetics, B, Vol. 35, No. 2, pp.302-312, April 2005.

Q. Zhu, H. Cui, K, Cao, and J. Chan, “Algorithmic Fusion of Gene Expression Profiling for Diffuse Large B-cell Lymphoma Outcome Prediction,” IEEE Transactions on Information Technology in Biomedicine, Vol. 8, No. 2, pp.79- 88, June 2004.

J. Iqbal, W. Sanger, D. Horsman, A. Rosenwald, D. Pickering, K. Cao, Q. Zhu, J. Chan, et. al., “BCL2 translocation defines a unique tumor subset within the germinal center B-cell-like diffuse large B-cell lymphoma” American Journal of Pathology, 165(1), pp. 159-166, July 2004.

Q. Zhu, R. A. Flanagan, J. D. Hicks, P. V. Petrov, and A. D. Stoyen, “Cellular Inference Network for Learning and Control of Multi-Agents Cooperation,” Proceedings of the IEEE Knowledge Intensive Multi-Agent Systems Conference, pp.151-156, Cambridge MA, USA. October 2003.

Q. Zhu, J. D. Hicks, P. V. Petrov, and A. D. Stoyen, “The Topologies of Knowledge Intensive Multi-Agents Cooperation,” Proceedings of the IEEE Knowledge Intensive Multi-Agent Systems Conference, pp.741-746, Cambridge MA, USA. October 2003.

X. Huang and Q. Zhu, “A Pseudo Nearest-Neighbor Substitution Approach for Missing Data Recovery on Gaussian Random Data Sets,” Pattern Recognition Letters, Vol. 23, No. 13, pp. 1613-1622, 2002.

Y. Sun, and Q. Zhu, “An iterative initial-points refinement algorithm for categorical data clustering,” Pattern Recognition Letters, Vol. 23, No. 7, pp. 875-884, 2002.

Q. Zhu and J. Sun, “Building Bayesian-Games-Theoretic Decision Support Agents,” The IEEE International Conference on Systems, Man, and Cybernetics, TP105, Hammamet, Tunisia, October 6-9 2002. 

X. Wu, Q. Zhu, “A Hierarchical Algorithm for Clustering Class-imbalanced Datasets,” Proceedings of the International Conference on Artificial Intelligence, IC-AI 2002, pp. 457-463, Las Vegas, June 24-27, 2002.

H. Cui, Q. Zhu, Kajia Cao, John Chan, “Adaptive classifier integration for lymphoma gene expression pattern analysis recognition,” Proceedings of the International Conference on Artificial Intelligence, IC-AI 2002, pp. 471-477, Las Vegas, June 24-27, 2002.

Q. Zhu, J. Hicks, P. Petrov, A. Stoyen, “Annotative Reasoning in AEDGE^TM – an Agent Architecture for Decision Aid Under Uncertainty,” Proceedings of the International Conference on Artificial Intelligence, IC-AI 2002, pp. 478-484, Las Vegas, June 24-27, 2002. 

Q. Zhu, H. Cui, K. Cao, and W. C. Chan, “Cross-projection Pursuit for Identifying Genes predictive of Patient Survival from Gene Expression Profiling Data,” NCI Director's Challenge Analytical Workshop, Albuquerque, New Mexico, May 14 – 17, 2002.

L. Xiao, Z. Chen, Q. Zhu, “Finding causal patterns from frequent item sets,” Proceedings of the 6^th Joint Conference on Information Systems (JCIS2002), pp. 442-445, Research Triangle Park, North Carolina, March 8-13, 2002.

M. Chen, Q. Zhu, and Z. Chen, “An Integrated Interactive Environment for Knowledge Discovery from Heterogeneous Data Resources,” Journal of Information & Software Technology, Vol. 43, pp. 487-496, 2001., 2001.

Q. Zhu, “A multiple Hyper-ellipsoidal Subclass Model for an Evolutionary Classifier,” Journal of Pattern Recognition, Vol. 34, No. 3, pp. 547-560, 2001.

Q. Zhu, “Research on Multi-subclass Modeling for Pattern Recognition in Complex Spaces,” Book chapter, Recent Research Developments in Pattern Recognition, Vol. 1, Part II,  pp. 237-246, Trans-World Research Network Publishing, 2000.

Y. Sun, Q. Zhu, and Z. Chen, “A Modified K-means Algorithm for Categorical Data Clustering,” Proceedings of the 2000 International Conference on Artificial Intelligence (IC-AI'2000), pp. 31-37, June 2000, Las Vegas, USA.

Q. Zhu, Y. Cai, and L. Liu "A Global Learning Algorithm for a RBF Network,"Journal of Neural Networks, Vol. 12, No. 3, pp. 527-540, 1999. 

Q. Zhu, “Voice Recognition,” Book chapter, The IEBM Handbook of Information Technology in Business, International Thomson Business Press, pp.634-640, 1999.

Q. Zhu, “Dempster-Shafer Reasoning in Feature Integration for Object Recognition,” International Conference on Image Science, Systems, and Technology, pp. 600-605, 1999.

Q. Zhu, “Building an Accretive Signature Authentication System Using a RBF Network” International Joint Conference on Neural Networks, IJCNN’99, #739, Session 9.1B, ISBN 0-7803-5532-6, 1999.

Q. Zhu, and L. Liu “A Competitive RBF (C-RBF) Network and its Application to Signature Recognition,” International Conference on Artificial Intelligence for Engineering, pp. 338-342, June 1998.

Q. Zhu, “A Minimum Cross-Entropy Model for Integration of Highly Intermixing Data Sets,” International Conference on Artificial Intelligence for Engineering, pp. 521-525, June 1998. 

Q. Zhu, and Y. Cai "A Subclass Model for Nonlinear Pattern Classification," Journal of Pattern Recognition Letters, Vol. 19, No. 2, pp. 19-29, February 1998. 

Q. Zhu, "Probabilistic Reasoning in an Augmented Fact-Proposition Space and its Applications,"Journal of Engineering Applications of Artificial Intelligence, Vol. 7, No. 6, pp. 627-637, 1994. 

A. Tawfik, and Q. Zhu, "Neural Network Prediction of Short-term Motions of Mobile Objects in Noisy Environments," The SPIE Conference on Applications of Artificial Neural Networks IV., pp.183-189, April 1993.

Q. Zhu, Y. Huang, and M. Payne, "Expanded Dempster-Shafer Reasoning Technique for Image color/feature Integration and Object Recognition," The SPIE Conference on Neural and Stochastic Methods in Image and Signal Processing (1992), pp. 36-47, July 1992.

Q. Zhu, and D. Shi, "An Interactive Learning Approach for Visual Guidance of Mobile Robot," Proceedings of the 1992 IEEE/RSJ International Conference on Intelligent Robots and Systems, Raleigh, NC., pp. 1829-1836, July 1992.

Q. Zhu, "Quantitative Object Motion Predication By an Adaptive Resonance Theory (ART) Neural Network," The 1992 American Control Conference, Chicago, IL., pp. 41 - 45, June 1992.

Y. Liu, and Q. Zhu, "A Model of N-Dimensional Target Motion Prediction," The Twenty-second Annual Pittsburgh Modeling and Simulation Conference, Vol. 22, Part 4, pp. 2129-2134, 1991. 

Q. Zhu, "A Bi-Directional Artificial Neural Network for 3D Motion Prediction," The VISION'90 Conference of the Society of Manufacturing Engineers, Detroit, MI, pp. 15.45-15.58, November 1990.

Q. Zhu, "Visual Guidance and Dynamical Obstacle Avoidance of Robot Motion," The VISION'90 Conference of the Society of Manufacturing Engineers, Detroit, MI, pp. 9.11-9.30, November 1990.

Q. Zhu, "A Bi-Directional Associative Neural Network for Target Motion Prediction," The IEEE International Conference on Systems Engineering, Pittsburgh, PA, pp. 216-220, August, 1990.

Q. Zhu, "A Stochastic Algorithm for Visual Guidance of Robot Motion in a Dynamic Environment" The IEEE International Conference on Systems Engineering, Pittsburgh, PA, pp. 351-356, August 1990.

Q. Zhu, D. Shi, D., and S. Tang, "Knowledge Augmentation via Interactive Learning in a Path Finder," CAD/CAM Robotics & Factories of the Future’90, S. Dwivedi, A. Verma, and J. Sneckenberger (Ed.), Vol. 1, pp. 148-153, Springer-Verlag, 1990.

Q. Zhu, "Unsupervised Learning in a Gaussian Functional Neural Network," The 21 Annual Modeling and Simulation Conference, Pittsburgh, PA, pp.515-519, May 1990. 

Q. Zhu, and M. Zhody, "A New Neuro-controller with Hybrid Learning," The 21 Annual Modeling and Simulation Conference, Pittsburgh, PA, May 1990.

S. Tang, Y. Hung, and Q. Zhu, "A New Phase Measurement for Non-monotonic Fringe Patterns," The SPIE International Symposium on Optical & Optoelectronic Applied Science & Engineering, San Diego, CA, July 1990.

Y. Hung, S. Tang, G. Jin, and Q. Zhu, "A Synchronous Phase Extraction Technique and its Applications," The SPIE International Symposium on Optical & Optoelectronic Applied Science & Engineering, San Diego, CA, July 1990.

Q. Zhu, "On the Minimum Probability of Error of Classification with Incomplete Patterns," Journal of Pattern Recognition, Vol.23, No.11, pp. 1281-1290, 1990. 

Q. Zhu, "Pattern Classification in Dynamic Environment: Tagged Feature Class Space and the Classifiers," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 19, No.5, pp.1203-1210, September/October 1989. 

Q. Zhu, and N. Loh, "Modeling and Control Strategies for Dynamic Obstacle Avoidance By Mobile Robots, The 1989 Korean Automatic Control Conference, Seoul, Korea, October 1989.

N. Loh, Q. Zhu, A. Chang, and L. McTamaney, "Dynamic Obstacle Avoidance for Mobile Robots," The Second Annual Mini-Symposium on Unmanned Ground Vehicles, Sterling Heights, MI, September 1989.

Q. Zhu, and A. Elramisi, "Classification of the Incomplete Patterns with Neural Networks," The Twentieth Annual Pittsburgh Conference on Modeling and Simulation, Pittsburgh, PA, pp. 1959-1963, May 1989.

Q. Zhu, "Pattern Classifications in Dynamical Environments: Tagged Feature-Class Space and Univariate Classifier," Lecture Notes in Computer Science - Pattern Recognition, J.Kittler (Ed.), Springer-Verlag, Cambridge, UK, pp. 517-526, 1988.

Q. Zhu, "An Interactive Refutation Learning Structure for Skill Acquisition in Knowledge Based CAD Systems, The 3rd International Conference on CAD/CAM Robotics & Factories of the Future, Southfield, MI, Vol. 2, pp. 170-174, August 1988.

Q. Zhu, "A Modular Learning Structure for Intelligent CAD Systems," The International Conference of Computers in Engineering, San Francisco, CA, Vol. 1, pp. 293-299, August 1988.

Q. Zhu, "Learning Gaussian-Type Threshold Function in a Statistic Neural Network," IEEE Annual International Conference on Neural Networks, San Diego, CA, July 1988.

Q. Zhu, C. Liu, and N. Loh, "A Non-determinate Controller with Learning from Experiments" The 1988 IEE Control Conference, London, UK, pp. 420-425, April 1988.

Q. Zhu, "Self-Learning Expert Systems," The first ESD/SMI Expert System Conference, Dearborn, MI, pp. 129-142, June 1987.

  

Reasoning, Data Mining and Knowledge Discovery

 

R. Corbin, C. B Dunbar, and Q. Zhu, "A Three-tier Knowledge Management Scheme for Software Engineering Support and Innovation" Journal of Systems and Software, Vol. 80, Issue 9, pp. 1494-1505, Sept. 2007.

E. Lindahl, S. O’Hara, and Q. Zhu, “A Multiagent System of Evidential Reasoning for Intelligence Analyses,” The Sixth International Joint Conference on Autonomous Agents and Multi-agent Systems (AAMAS 2007), Honolulu, Hawaii, USA May 14-18, 2007.

Q. Zhu, S. O’Hara, M. Simon, and E. Lindahl, “Collective agents interpolative integral (CAII) for asymmetric Threat Detection.” SPIE Defense and Security Symposium, DSS07-DS22-4, Multisource, Multisensor Information Fusion and Knowledge Discovery Technologies, Orlando, FL, April 9–13, 2007.

E. Lindahl and Q. Zhu, “A Hybrid Cellular Inference Network for Multi-Agent System Organization,” International conference: Integration of Knowledge Intensive Multi-Agent Systems, KIMAS’07, Boston, MA, April 29-May 3, 2007, paper #1123.

E. Lindahl and Q. Zhu, “Epistemic Belief Frames in Distributed Effects-based Reasoning,” International conference: Integration of Knowledge Intensive Multi-Agent Systems, KIMAS’07, Boston, MA, April 29-May 3, 2007, paper # 1124.

R. D. Corbin, C. B. Dunbar, and Q. Zhu, “A Three-tier Knowledge Management Scheme for C2 Software Engineering Support and Innovation,” DoD Command and Control Research and Technology Symposium (CCRTS), San Diego, Paper #C-064, June 20-22, 2006.

M. Payne, J. Renard, and Q. Zhu, “VIS – Visual Inference Service for Web-Collaborative Data Analysis and Knowledge Discovery,” C2 technology Summit, US STRATCOM, Belleuve, NE, March 14-15, 2006.   

Q. Zhu, and J. Hicks, “Synergetic Human-System Integration for Reliable and Efficient C2 Operations,” 10th International Command and Control Research and Technology Symposium (ICCRTS 2005), McLean, VA., Paper #066, June 2005.

E. Lindahl, Q. Zhu, and J. Hicks, “Actionable Knowledge Guided HTC Visualization,” 10th International Command and Control Research and Technology Symposium (ICCRTS 2005), McLean, VA., Paper #094, June 2005.

K. Cao, Q. Zhu, J. Iqbal, J. Chan, “On the Alleviation of the effect of outliers in micro-array data analysis,” Proceedings of the International Conference on Mathematics and Engineering Techniques in Medical and Biological Sciences, METMBS’04, pp. 263-269, June 2004.

Q. Zhu, and J. D. Hicks, “Collective Evolutionary Agent Networks for Autonomous Operations,” Presentation to the Second Annual SWARM Conference Held at the Crystal Gateway Marriott, Arlington, VA, 14 - 15, June 2004.

Q. Zhu, and R. A. Flanagan, “Snap-Card: A Dynamic System Construct of Rapid Information Gathering and Integration for C2 Effectiveness in Homeland Security,” The 2004 International Command and Control Research and Technology Symposium (ICCRTS 2004), San Diago CA. CD # 161, June 2004.

Q. Zhu, and J. D. Hicks, “Bayesian-Game Modeling of C2 Decision Making in Submarine Battle-Space Situation Awareness,” The 2004 International Command and Control Research and Technology Symposium (ICCRTS 2004), San Diago CA. CD#160, June 2004.

Q. Zhu, R. A. Flanagan, J. D. Hicks, “Cellular Inference Network for Learning and Control of Multi-Agents Cooperation,” Proceedings of the IEEE Knowledge Intensive Multi-Agent Systems Conference (KIMAS’03), Cambridge MA, USA. pp.151-156, October 2003.

X. Huang and Q. Zhu, “A Pseudo Nearest-Neighbor Substitution Approach for Missing Data Recovery on Gaussian Random Data Sets,” Pattern Recognition Letters, Vol. 23, No. 13, pp. 1613-1622, 2002.

J. Sun and Q. Zhu, “Probability Based Semantic Query Optimization,” The IEEE International Conference on Systems, Man, and Cybernetics, MP1D5, Hammamet, Tunisia, October 6-9 2002.

P. V. Petrov, Q. Zhu, J. D. Hicks, and A. D. Stoyen^, “A Hierarchical Collective Agents Network for Real-time Sensor Fusion and Decision Support” The AAAI/KDD/UAI-2002 Joint Workshop on Real-time Decision Support and Diagnosis Systems, pp. 73-74, Edmonton, Alberta, Canada, July 2002.

J. D. Hicks, P. V. Petrov, A. D. Stoyen, and Q. Zhu, “Consolidated situational awareness for aircraft carrier decision centers,” The 2002 International Command and Control Research and Technology Symposium (ICCRTS), Monterey CA. June 2002.

J. D. Hicks, P. V. Petrov, A. D. Stoyen, and Q. Zhu, “Intelligent Agent-Based Software Architecture for Tactical Decision Aid under Overwhelming Information Inflow and Uncertainty,” The 2002 International Command and Control Research and Technology Symposium (ICCRTS), Monterey CA. June 2002.

Y. Yan, Z. Chen, Q. Zhu, “An approach for query optimizing in a mobile environment,” Proceedings of the 6^th Joint Conference on Information Systems (JCIS2002), pp. 507-510, Research Triangle Park, North Carolina, March 8-13, 2002.

X. Zhang, Z. Chen, Q. Zhu, “Mining influential association rules,” Proceedings of the 6^th Joint Conference on Information Systems (JCIS2002), pp. 490-493, Research Triangle Park, North Carolina, March 8-13, 2002.

M. Chen, Q. Zhu, and Z. Chen, “An Integrated Interactive Environment for Knowledge Discovery from Heterogeneous Data Resources,” Journal of Information & Software Technology, Elsevier Science Publishers,  2001.

X. Chen, Z. Chen, and Q. Zhu, “From OLAP to Data Mining: An Analytical Influential Association Approach,” International Journal of Computer Science and Information Management, Vol. 2, No. 2, 1999.

Q. Zhu, “Minimum Cross-entropy Approximation for Modeling Highly Intertwining Data Set at Subclass Levels,” Journal of Intelligent Information Systems, pp. 139-152, 1998. 

Z. Chen and Q. Zhu, “Query construction for user-guided knowledge discovery in databases,” Journal of Information Sciences, No. 109, pp. 49-64, 1998. 

Q. Zhu, and Z. Chen, "Knowledge Discovery from Databases with the Guidance of a Causal Network," Z. Ras and A. Skowron (eds.), Foundations of Intelligent Systems, pp. 401-410, Oct. 1997.

Q. Zhu, “Bayesian Reasoning in an Annotated Probability Space for Decision Support with Incomplete Data Set,” IPMU2000: The 8th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, July 2000, Madrid, Spain

M. Chen, Q. Zhu, and Z. Chen, “An Informed Interactive Query Approach for Knowledge Discovery from Heterogeneous Databases,” Proceedings of the 2000 International Conference on Artificial Intelligence (IC-AI'2000), pp. 15-22, June 2000, Las Vegas, USA.

L. Xiao, Z. Chen and Q. Zhu, “Storing and Querying XML Data for Bayesian Network Inferences,” Proceedings of the 2000 International Conference on Artificial Intelligence (IC-AI'2000), pp. 7-14, June 2000, Las Vegas, USA.

M. Khanijo, Z. Chen and Q. Zhu, “Spatial Data Access Methods Using Branch-grafted R-trees,” Proceedings of 12th International Conference on Systems Research, Informatics and Cybernetics, Aug. 2000.

X. Zhang, Z. Chen and Q. Zhu, “Imaginary ordering R-tree,” Proceedings of 12th International Conference on Systems Research, Informatics and Cybernetics, Aug. 2000.

L. Xiao, Z. Chen, and Q. Zhu, “A Bayesian Approach to Mining Causal Relationship Patterns from Frequent Data Sets” PADD’2000: The Fourth International Conference and Exhibition on The Practical Application of Knowledge Discovery and Data Mining, April 2000, UK.

M. Chen, Q. Zhu, and Z. Chen, “Informed Interactive Query for Knowledge Discovery from Heterogeneous Databases,” PADD’2000: The Fourth International Conference and Exhibition on The Practical Application of Knowledge Discovery and Data Mining, April 2000, UK.

Q. Zhu, and Z. Chen, “Mining Multiple Databases by Cross-referencing and Interactive Queries,” ICICS’99, the second International Conference on Information, Communications and Signal Processing, Session 3D4, #4, Dec. 1999.

S. Geri, and Q. Zhu, “dbAgent: An Intelligent Web Agent for Database Mining,” International Conference on Computer and Informatics (CS&I’98), pp. 466-470, 1998.

Q. Zhu, and Z. Chen, “Goal-driven Reasoning for Knowledge Discovery Using Belief Networks,” International Conference on Artificial Intelligence for Engineering, pp. 231-235, June 1998. 

Q. Zhu, and Z. Chen, “Query Construction for User-Guided Data Mining,” The Fourth World Congress on Expert Systems, Tenth International Symposium on Artificial Intelligence, 1998. 

Z. Chen and Q. Zhu, “Exploring Agent-based Data Mining Refinement Cycle,” The Second International Conference on the Practical Application of Knowledge Discovery and Data Mining, London, U.K., 1998. 

Q. Zhu, and Z. Chen, "Knowledge Discovery from Databases with the Guidance of a Causal Network," Z. Ras and A. Skowron (eds.), Foundations of Intelligent Systems, Lecture Notes in Artificial Intelligence 1325, pp. 401-410, Oct. 1997.

 

Computational Geometry and Computer Vision

 

S. O’Hara and Q. Zhu, “Toward distributed ATR using subjective logic combination rules with a Network of Smart Sensors,” SPIE Defense and Security Symposium, DSS07-DS47-11, Unmanned Systems Technology IX (DS47), Orlando, FL, April 9–13, 2007.

S. O’Hara and Q. Zhu, “A Language for Describing the Events in Video Streams – An Initial Exploration into the Image Semantics,” International conference: Integration of Knowledge Intensive Multi-Agent Systems, KIMAS’07, Boston, MA, April 29-May 3, 2007.

Y. Zhang, P. Shi, E. Jones, and Q. Zhu^{, “}Robust Background Image Generation and Vehicle 3D Detection and Tracking,” Proceedings of the IEEE Intelligent Transportation Systems Conference, pp. 12-16, CD # MoC1.3, Washington D.C., October, 2004.

P. Shi, Q. Zhu, E. Jones, “Median model for background subtraction in intelligent transportation system,” Proceedings of SPIE-IS&T Electronic Imaging, SPIE Vol. 5298 (Image Processing: Algorithms and Systems III, edited by Edward R. Doughty, Jaakko T. Astola, Karen O. Egiazarian), pp.168-176, 18-22 January 2004.

X. Huang, Q. Zhu, “Whole Word Handwritten Numerals Recognition Using Word-pattern Statistics,” Proceedings of the International Conference on Imaging Science, Systems, and Technology, ICSST 2002, pp.180-186, Las Vegas, June 24-27, 2002.

P. Shi, E. Jones, Q. Zhu, “Adaptive Median Filter for Street Traffic Scene Background Generation – A heuristic approach,” Proceedings of the International Conference on Imaging Science, Systems, and Technology, ICSST 2002, pp. 173-179, Las Vegas, June 24-27, 2002.

Q. Zhu, "On the Geometries of Conic Section Representation of Noisy Object Boundaries,” Journal of Visual Communication and Image Representation, Vol. 10, pp. 130-154, 1999. 

Q. Zhu, and L. Peng "A new Approach to Conic Section Approximation of Object Boundaries,” Journal of Image and Vision Computing, Vol. 17, No. 9, pp. 645-658, 1999. 

Q. Zhu, “Computer Vision,” Book chapter, The IEBM Handbook of Information Technology in Business, International Thomson Business Press, pp. 472-479, 1999.

Q. Zhu, “Face Recognition,” Book chapter, The IEBM Handbook of Information Technology in Business, International Thomson Business Press, pp. 538-545, 1999.

Q. Zhu, "Efficient Evaluations of Edge Connectivity and Width Uniformity," Journal of Image and Vision Computing, No. 14, pp. 21-34, 1996. 

Q. Zhu, M. Payne, and V. Riordan, "Edge Linking by a Directional Potential Function (DPF)," Journal of Image and Vision Computing, No. 14, pp. 59-70, 1996. 

Q. Zhu, and A. Tawfik, "Quantitative Object Motion Prediction by an ART2 and Madaline Combined Neural Network: Concepts and Experiments," Journal of Engineering Applications of Artificial Intelligence, Vol. 8, No. 5, pp. 569-578, 1995. 

Q. Zhu, and A. Tawfik, "Quantitative Object Motion Prediction by an ART2 and Madaline Combined Neural Network," Journal of Neural Processing Letters, Vol. 2, No. 1, pp. 19-21, January 1995. 

Q. Zhu, and D. Shi, "Skill Augmentation Via Interactive Learning for Visual Guidance of Mobile Robots,"Journal of Engineering Applications of Artificial Intelligence, Vol. 5, No. 2, pp. 101-112, 1992.

Q. Zhu, "Hidden Markov Model for Visual Guidance of Robot Motion in Dynamic Environment,"IEEE Transactions on Robotics and Automation, Vol. 7, No. 3, pp. 390-397, 1991. 

Q. Zhu, Y. Hung, S. Tang, and D. Shi, "An Optical Technique and Digital Processing Combined Method for Real-time Edge Extraction," International Journal on Spatial Vision, Vol. 5, NO. 4, pp. 253-268, 1991.

Q. Zhu, "Virtual Edges, Viewing Faces, and Boundary Traversal in Line Drawing Representation of Objects with Curved Surfaces," International Journal of Computers and Graphics, Vol. 15, No. 2, pp. 161-173, 1991. 

Q. Zhu, and Freeman, H., "A Symbolic Approach to the Fast Design of Industrial Piping Systems," Transactions of SAE, Vol. 96, Section II, pp. 1293-1297, 1988. 

Q. Zhu, "A Two-phase Fast Hidden-line Removal Algorithm," Computer Graphics 1987, Tosiyasu L. Kunii (Ed.), Springer-Verlag, Japan, pp. 59-72, 1987.

Q. Zhu, “Eigen-Parameters in Image Identification,” Proceedings of the 2000 International Conference on Imaging Science, Systems, and Technology (CISST2000), pp. 23-30, June 2000, Las Vegas, USA.

W. Sousan and Q. Zhu, “Invariant Shape Descriptions based on a Principle Axis Model,” Proceedings of the 2000 International Conference on Imaging Science, Systems, and Technology (CISST2000), pp. 7-14, June 2000, Las Vegas, USA.

W. Sousan and Q. Zhu, “Image Searching and Retrieving by Invariant Shape Descriptions,” Proceedings of the 2000 International Conference on Imaging Science, Systems, and Technology (CISST2000), pp. 15-22, June 2000, Las Vegas, USA.

Y. Weng and Q. Zhu, “Nonlinear Shape Restoration for Document Images,” The IEEE Conference on Computer Vision and Pattern Recognition (CVPR96), pp. 568-573, San Francisco, CA, June 1996.

V. Riordan, V., and Q. Zhu, "Informed Edge Linking Using a Directional Potential Function," The SPIE's 1993, International Symposium on Optical Tools for Manufacturing and Advanced Automation, Boston, MA, pp. 381-392, Sept., 1993.

M. Payne, Q. Zhu, and Y. Huang, "Using the Dempster-Shafer Reasoning Model to Perform Pixel-level Segmentation on Color Images," The SPIE Conference on Neural and Stochastic Methods in Image and Signal Processing (1992), pp. 26-35, July 1992.

Q. Zhu, "Improving Edge Detection by an Objective Edge Evaluation," The 1992 ACM/SIGAPP Symposium on Applied Computing, Kansas City, MO. pp. 459-468, March 1992.