Edited Journal Special Issues, Books and Conference Proceedings

  • Mengjie Zhang, Mario Koeppen, Sergio Damas: Special Issue on Computational Intelligence in Computer Vision and Image Processing [Guest Editorial]. IEEE Comp. Int. Mag. 8(1): 14-15 (2013)
  • Mengjie Zhang, Michael Kirley, Xiaodong Li: Guest Editorial: special issue on evolutionary optimisation and learning. Soft Comput. 15(9): 1671-1673 (2011)

Refereed Book Chapters

  • Mengjie Zhang, Mark Johnston. "A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification". Book chapter of Evolutionary Image Analysis and Signal Processing. Studies in Computational Intelligence. Vol. 213. Chapter 3. Springer. 2009. pp.55-72.
  • Mengjie Zhang. ``Genetic Programming Techniques for Multi-class Object Recognition''. Genetic and Evolutionary Computation for Image Processing and Analysis. Chapter 17. Hindawi Press. 2007. pp. 349-370.
  • Mengjie Zhang. ``Genetic Algorithms and Neural Networks for Object Detection''. Genetic and Evolutionary Computation for Image Processing and Analysis. Chapter 20. Hindawi Press. 2007. pp.415-440.

Refereed Journal Articles

  • Andy Song, Mengjie Zhang: Genetic programming for detecting target motions. Connect. Sci. 24(2-3): 117-141 (2012)
  • Harith Al-Sahaf, Andy Song, Kourosh Neshatian, Mengjie Zhang: Two-Tier genetic programming: towards raw pixel-based image classification. Expert Syst. Appl. 39(16): 12291-12301 (2012)
  • Ammar W. Mohemmed, Mark Johnston, Mengjie Zhang: Particle swarm optimisation based AdaBoost for object detection. Soft Comput. 15(9): 1793-1805 (2011)
  • Peter Andreae, Huayang Xie, Mengjie Zhang. "Genetic Programming for Detecting Rhythmic Stress in Spoken English". International Journal of Knowledge-Based and Intelligent Engineering Systems (KES Journal). Special Issue on Genetic Programming. Vol. 12, No. 1, 2008. pp. 15-28.
  • Mengjie Zhang, Xiaoying Gao, Weijun Lou. "A New Crossover Operator in Genetic Programming for Object Classification". IEEE Transactions on Systems, Man and Cybernetics, Part B. Vol. 37, No.5, 2007. pp. 1332-1243.
  • Mengjie Zhang. "Improving Object Detection Performance with Genetic Programming". International Journal on Artificial Intelligence Tools. Vol. 16, No. 5, 2007. pp. 849-873.
  • Mengjie Zhang. "A Linear Structured Approach and A Refined Fitness Function in Genetic Programming for Multi-class Object Classification". Connection Science. Vol. 19. No. 4, 2007. pp. 339-359.
  • Mengjie Zhang, Urvesh Bhowan, Bunna Ny. "Genetic Programming for Object Detection: A Two-Phase Approach with an Improved Fitness Function". Electronic Letters on Computer Vision and Image Analysis. Vol. 6. No. 1. 2007. pp.27-43.
  • Mengjie Zhang. "Using Gaussian Distribution to Construct Fitness Functions in Genetic Programming for Multiclass Object Classification ". Pattern Recognition Letters. Vol. 27, Issue 11. 2006. pp.1266-1274.
  • Mengjie Zhang, Malcolm Lett. "Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data". IEEE Intelligent Informatics Bulletin (IEEE Computational Intelligence Bulletin). Vol. 7, No. 1. 2006. pp. 12-21.
  • Mengjie Zhang, Victor Ciesielski. "Neural Networks and Genetic Algorithms for Domain Independent Multiclass Object Detection". International Journal on Computational Intelligence and Applications, Vol. 4, No. 1. 2004. pp.77-108.
  • Mengjie Zhang, Victor Ciesielski, Peter Andreae, "A Domain Independent Window-Approach to Multiclass Object Detection Using Genetic Programming", EURASIP Journal on Applied Signal Processing, Vol. 2003, No.8, pp.841-859.

Refereed papers in Conference Proceedings

  • Wenlong Fu, Mark Johnston, Mengjie Zhang: Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection. Australasian Conference on Artificial Intelligence 2012: 144-155
  • Harith Al-Sahaf, Andy Song, Kourosh Neshatian, Mengjie Zhang: Extracting image features for classification by two-tier genetic programming. IEEE Congress on Evolutionary Computation 2012: 1-8
  • Wenlong Fu, Mark Johnston, Mengjie Zhang: Genetic programming for edge detection via balancing individual training images. IEEE Congress on Evolutionary Computation 2012: 1-8
  • Wenlong Fu, Mark Johnston, Mengjie Zhang: Soft edge maps from edge detectors evolved by genetic programming. IEEE Congress on Evolutionary Computation 2012: 1-8
  • Mahdi Setayesh, Mengjie Zhang, Mark Johnston: Effects of static and dynamic topologies in Particle Swarm Optimisation for edge detection in noisy images. IEEE Congress on Evolutionary Computation 2012: 1-8
  • Wenlong Fu, Mark Johnston, Mengjie Zhang: Genetic programming for edge detection using blocks to extract features. GECCO 2012: 855-862
  • Mahdi Setayesh, Mengjie Zhang, Mark Johnston: A spatial random-meaningful neighbourhood topology in pso for edge detection in noisy images. GECCO (Companion) 2012: 1403-1404
  • Wenlong Fu, Mark Johnston, Mengjie Zhang: Genetic programming for edge detection based on figure of merit. GECCO (Companion) 2012: 1483-1484
  • Samuel Hindmarsh, Peter Andreae, Mengjie Zhang: Genetic programming for improving image descriptors generated using the scale-invariant feature transform. IVCNZ 2012: 85-90
  • Wenlong Fu, Mark Johnston, Mengjie Zhang: Multi-frequency transformation for edge detection. IVCNZ 2012: 204-209
  • Wenlong Fu, Mark Johnston, Mengjie Zhang: Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection. SEAL 2012: 22-31
  • Wenlong Fu, Mark Johnston, Mengjie Zhang: Genetic Programming for Edge Detection Based on Accuracy of Each Training Image. Australasian Conference on Artificial Intelligence 2011: 301-310
  • Mahdi Setayesh, Mengjie Zhang, Mark Johnston: Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images. Australasian Conference on Artificial Intelligence 2011: 609-618
  • Daniel L. Atkins, Kourosh Neshatian, Mengjie Zhang: A domain independent Genetic Programming approach to automatic feature extraction for image classification. IEEE Congress on Evolutionary Computation 2011: 238-245
  • Mahdi Setayesh, Mengjie Zhang, Mark Johnston: Edge detection using constrained discrete particle swarm optimisation in noisy images. IEEE Congress on Evolutionary Computation 2011: 246-253
  • Wenlong Fu, Mark Johnston, Mengjie Zhang: Genetic programming for edge detection: A global approach. IEEE Congress on Evolutionary Computation 2011: 254-261
  • Wenlong Fu, Mark Johnston, Mengjie Zhang: A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation. EvoApplications (1) 2011: 173-182
  • Ignas Kukenys, Will N. Browne, Mengjie Zhang: Transparent, Online Image Pattern Classification Using a Learning Classifier System. EvoApplications (1) 2011: 183-193
  • Mahdi Setayesh, Mengjie Zhang, Mark Johnston: Detection of continuous, smooth and thin edges in noisy images using constrained particle swarm optimisation. GECCO 2011: 45-52
  • Wenlong Fu, Mark Johnston, Mengjie Zhang: Hybrid particle swarm optimisation based on history information sharing. GECCO 2011: 77-84
  • Ignas Kukenys, Will N. Browne, Mengjie Zhang: Confusion matrices for improving performance of feature pattern classifier systems. GECCO (Companion) 2011: 181-182
  • Harith Al-Sahaf, Kourosh Neshatian, Mengjie Zhang: Automatic feature extraction and image classification using genetic programming. ICARA 2011: 157-162
  • Mahdi Setayesh, Mark Johnston, Mengjie Zhang: Edge and Corner Extraction Using Particle Swarm Optimisation. Australasian Conference on Artificial Intelligence 2010: 323-333
  • Jan Larres, Mengjie Zhang, Will N. Browne: Using unrestricted loops in genetic programming for image classification. IEEE Congress on Evolutionary Computation 2010: 1-8
  • Ammar Mohhemed, Mark Johnston, Mengjie Zhang. "Particle Swarm Optimization Based Multi-prototype Ensembles". Proceedings of the 11th Annual conference on Genetic and Evolutionary Computation Conference (GECCO 2009). ACM Press. 2009. pp. 57-64. ISBN:978-1-60558-325-9
  • Urvesh Bhowan, Mengjie Zhang, Mark Johnston. "Genetic Programming for Image Classification with Unbalanced Data". Proceeding of the 24th International Conference on Image and Vision Computing New Zealand. Wellington, 2009. IEEE Press. pp. 316-321.
  • Mahdi Setayesh, Mengjie Zhang, Mark Johnston. "A new homogenity-based approach to edge detection using PSO". Proceeding of the 24th International Conference on Image and Vision Computing New Zealand. Wellington, 2009. IEEE Press. pp. 231-236.
  • Kourosh Neshatian, Mengjie Zhang. "Dimensionality Reduction in Face Detection: A Genetic Programming Approach". Proceeding of the 24th International Conference on Image and Vision Computing New Zealand. Wellington, 2009. IEEE Press. pp. 391-396.
  • Carlton Downey, Mengjie Zhang. "Multiclass Object Classification for Computer Vision using Linear Genetic Programming". Proceeding of the 24th International Conference on Image and Vision Computing New Zealand. Wellington, 2009. IEEE Press. pp. 73-78.
  • Mengjie Zhang, Stefano Cagnoni, Gustavo Olague. "GECCO 2009 Tutorial: Evolutionary Computer Vision". Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference. ACM Press. 2009. pp. 3355-3380. ISBN: 978-1-60558-505-5.
  • Ammar Mohhemed, Mark Johnston, Mengjie Zhang. "Particle Swarm Optimization Based Multi-prototype Ensembles". Proceedings of the 11th Annual conference on Genetic and Evolutionary Computation Conference (GECCO 2009). ACM Press. 2009. pp. 57-64. ISBN:978-1-60558-325-9 * Ammar Mohemmed, Mengjie Zhang and Mark Johnston. "Particle Swarm Optimization Based Adaboost for Face Detection". Proceedings of the 2009 IEEE Congress on Evolutionary Computation. IEEE Press. 2009. pp. 2494 - 2501.
  • Ammar Mohemmed, Mengjie Zhang and Mark Johnston. "A PSO Based AdaBoost Approach to Object Detection". Proceedings of the seventh International Conference on Simulated Evolution and Learning (SEAL'08). Lecture Notes in Computer Science. Vol. 5361. Springer. 2008. pp. 81-90.
  • Hamish Evans and Mengjie Zhang. "Particle Swarm Optimisation for Object Classification". 23rd International Conference Image and Vision Computing New Zealand. IEEE Press. 2008. pp.1-6. DOI: 10.1109/IVCNZ.2008.4762143. ISBN: 978-1-4244-3780-1
  • Barret Chin, Mengjie Zhang. "Object Detection using Neural Networks and Genetic Programming". Proceedings of EvoIASP08, Lecture Notes in Computer Science. Vol. 4974. Springer. Naple, Italy. March 2008. pp 335-340.
  • Krzysztof Krawiec, Daniel Howard, Mengjie Zhang. "Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques". Proceedings of the 2007 International Conference Frontiers in the Convergence of Bioscience and Information Technologies (FBIT 2007). IEEE Press. Jeju Island, Korea, October 11-13, 2007. pp. 779-784.
  • Mengjie Zhang, Christopher Fogelberg. "Genetic Programming for Image Recognition: An LGP Approach". Lecture Notes in Computer Science (IASP 2007). Vol. 4448, Springer. pp.340-350.
  • Mengjie Zhang, Xiaoying Gao, Weijun Lou. "GP for Object Classification: Brood Size in Brood Recombination Crossover ". Proceedings of the 19th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Computer Science, Vol. 4304, Springer. 2006. pp.274-284.
  • Mengjie Zhang. "Genetic Programming for Object Detection." Proceedings of the 21th International Conference on Image and Vision Computing New Zealand. Great Barrier Island, New Zealand. pp. 435-440.
  • Mengjie Zhang, Malcolm Lett. "Localisation Fitness in GP for Object Detection". Lecture Notes in Computer Science, Vol. 3907. Springer. 2006. pp.472-483.
  • Mengjie Zhang, Xiaoying Gao, Weijun Lou, Dongping Qian. "Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition" Lecture Notes in Artificial Intelligence. Vol. 4099. Springer, 2006. pp. 923-928.
  • Mengjie Zhang, Xiaoying Gao and Weijun Lou. "Looseness Controlled Crossover in GP for Object Classification". Proceedings of IEEE Congress on Evolutionary Computation, a part of IEEE Congress on Computational Intelligence. Vancouver BC, Canada. IEEE Press. 2006. pp.4428-4435.
  • Mengjie Zhang, Malcolm Lett. "Refining Fitness Function and Optimising Training Data in GP for Object Detection". Proceedings of the sixth International Conference on Simulated Evolution and Learning, Lecture Notes in Computer Science, Vol. 4247. Springer. 2006. pp.601-608.
  • Christopher Fogelberg, Mengjie Zhang. "Linear Genetic Programming for Multi-class Object Classification". Lecture Notes in Artificial Intelligence, Vol. 3809. Springer. 2005. pp.369-379.
  • Mengjie Zhang, et al. ``Program Simplification in Genetic Programming for Object Classification''. Lecture Notes in Artificial Intelligence. Vol. 3683. Springer. 2005. pp. 988-997.
  • Mengjie Zhang, Will Smart. ``Learning weights in GP using gradient descent for object classification''. Lecture Notes in Computer Science. Vol. 3449. Springer. 2005. pp. 417-427.
  • Will Smart, Mengjie Zhang. "Tracking Object Positions in Real-time Video using Genetic Programming". In Proceeding of Image and Vision Computing International Conference, 2004. pp. 113-118.
  • Malcolm Lett, Mengjie Zhang. "New Fitness Functions in Genetic Programming for Object Detection". In Proceeding of Image and Vision Computing International Conference, 2004. pp. 441-446.
  • Yun Zhang, Mengjie Zhang. "A New Program Structure in Genetic Programming for Object Classification". In Proceeding of Image and Vision Computing International Conference, 2004. pp. 459-465.
  • Will Smart, Mengjie Zhang. "Probability Based Genetic Programming for Multiclass Object Classification". In Chengqi Zhang, Hans W. Guesgen, Wai-Kiang Yeap (Eds.): PRICAI 2004: Trends in Artificial Intelligence, Proceedings of the 8th Pacific Rim International Conference on Artificial Intelligence. Lecture Notes in Computer Science. Vol. 3157, Springer 2004. pp. 251-261.
  • Mengjie Zhang, Peter Andreae, Urvesh Bhowan. "A Two Phase Genetic Programming Approach to Object Detection". The Eighth Internatioanl Conference on Knowledge Based Intelligent Information and Engineering Systems, Lecture Notes in Artificial Intelligence, Vol. 3215, Springer, 2004. pp. 224-231.
  • Mengjie Zhang, Will Smart. "Multiple Object Classification Using Genetic Programming". Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Sceince, Vol. 3005, 2004. pp. 367-376.
  • Mengjie Zhang, Will Smart. "Genetic Programming with Gradient Descent for Multiclass Object Classification". Proceedings of the 7th European Genetic Programming Conference, Lecture Notes in Computer Science. Vol 3003. 2004. pp. 399-408.
  • Mengjie Zhang, Urvesh Bhowan, "Program Size and Pixel Statistics in Genetic Programming for Object Detection". Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science. Vol. 3005, 2004. pp. 377-386.
  • Will Smart, Mengjie Zhang. "Applying Gradient Descent Search to Genetic Programming for Object Recognition". Australian Computer Science Communications (Data mining, CRPIT 32), Vol. 26, No. 7, 2004. pp.133-138.
  • Will Smart, Mengjie Zhang. "Classification Strategies for Image Classification in Genetic Programming". Proceeding of Image and Vision Computing Conference, Palmerston North, 2003. pp. 402-407.
  • Mengjie Zhang, Peter Andreae, Mark Pritchard, "Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection", Proceeding of the European Conference on Genetic Programming for Image Analysis and Signal Processing, Lecture Notes in Computer Science, Vol. 2611, 2003, pp. 455-466.
  • Mengjie Zhang and Victor Ciesielski. Genetic Programming for Multiple Class Object Detection. In Proceedings of the 12th Australian Joint Conference on Artificial Intelligence (AI'99) , published in Norman Foo (Ed.) Lecture Notes in Artificial Intelligence (LNAI Vol. 1747) by Springer-Verlag Berlin Heidelberg, pages 180-192. Sydney, Australia, 6-10 December 1999.
  • Mengjie Zhang and Victor Ciesielski. Using Back Propagation Algorithm and Genetic Algorithm to Train and Refine Neural Networks for Object Detection. In Proceedings of the 10th International Conference on Database and Expert Systems Applications (DEXA'99), Lecture Notes in Computer Science, (LNCS Vol. 1677), Springer-Verlag, pages 626-635. Florence, Italy, August 30 - September 3, 1999.
  • Victor Ciesielski and Mengjie Zhang. Using Genetic Algorithms to Improve the Accuracy of Object Detection. In Proceedings of the third Pacific-Asia Knowledge Discovery and Data Mining Conference, published in Ning Zhong and Lizhu Zhou (Eds.): Knowledge Discovery and Data Mining -- Research and Practical Experiences. Tsinghua University Press, page 19 - 24. Beijing, China, April 26-31, 1999.