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Year: 2013

Refereed Journal Articles and Edited Journal Special Issues

  1. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images". Information Sciences (Journal, Elsevier) vol. 246 (2013): 28-51. [ http | BibTex ]
  2. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Hybrid evolutionary computation methods for quay crane scheduling problems". (Journal of) Computers and Operations Research vol. 40, no. 8 (2013): 2083-2093. [ http | BibTex ]
  3. Mengjie Zhang, Mario Koeppen, and Sergio Damas. "Special Issue on Computational Intelligence in Computer Vision and Image Processing [Guest Editorial]". IEEE Computational Intelligence Magazine vol. 8, no. 1 (2013): 14-15. [ http | BibTex ]
  4. Muhammad Iqbal, Will Browne, and Mengjie Zhang. "Evolving optimum populations with XCS classifier systems - XCS with code fragmented action". Soft Computing vol. 17, no. 3 (2013): 503-518. [ http | BibTex ]
  5. Urvesh Bhowan, Mark Johnston, Mengjie Zhang, and Xin Yao. "Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data". IEEE Trans. Evolutionary Computation vol. 17, no. 3 (2013): 368-386. [ http | BibTex ]
  6. Huayang Xie, and Mengjie Zhang. "Parent Selection Pressure Auto-Tuning for Tournament Selection in Genetic Programming". IEEE Trans. Evolutionary Computation vol. 17, no. 1 (2013): 1-19. [ http | BibTex ]
  7. Juan Rada-Vilela, Mengjie Zhang, and Winston Seah. "A performance study on synchronicity and neighborhood size in particle swarm optimization". Soft Computing vol. 17, no. 6 (2013): 1019-1030. [ http | BibTex ]
  8. Bing Xue, Liam Cervante, Lin Shang, Will Browne, and Mengjie Zhang. "Multi-Objective Evolutionary Algorithms for Filter Based Feature Selection in Classification". International Journal on Artificial Intelligence Tools (2013). [ BibTex ]
  9. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming". Evolutionary Computation, IEEE Transactions on vol. PP, no. 99 (2013): 1-1. [ http | BibTex ]
  10. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Learning iterative dispatching rules for job shop scheduling with genetic programming". The International Journal of Advanced Manufacturing Technology vol. 67, no. 1-4 (2013): 85-100. [ http | BibTex ]
  11. Muhammad Iqbal, Will Browne, and Mengjie Zhang. "Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems". IEEE Transactions on Evolutionary Computation (2013). [ .pdf | BibTex ]
  12. Su Nguyen, Mark Johnston, Kay Chen Tan, and Mengjie Zhang. "Genetic Programming for Evolving Reusable Due-date Assignment Models in Job Shop Environments". Evolutionary Computation (2013). [ http | BibTex ]

Refereed Book Chapters, and Papers in Conference Proceedings

  1. Anna I Esparcia-Alcazar, Mengjie Zhang, and others. EvoApplications 2013: Proceedings of the 16th European Conference on Applications of Evolutionary Computation, Lecture Notes in Computer Science, pp. 639+XXVII. Springer, 2013. ISBN: 978-3-642-37191-2. [ http | BibTex ]
  2. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Learning Reusable Initial Populations for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming". In Proceedings of the 16th European Conference on Genetic Programming vol. 7831. . 2013. [ BibTex ]
  3. Anqi Wang, Hui Ma, and Mengjie Zhang. "Genetic Programming with Greedy Search for Web Service Composition". In 24th International Conference on Database and Expert, DEXA 2013. . University of Economics, 2013. [ http | BibTex ]
  4. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach". In Automated Scheduling and Planning. pp 251-282. Springer, 2013. [ http | BibTex ]
  5. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming". In Proceedings of the 16th European Conference on Genetic Programming. pp 157-168. 2013. [ http | BibTex ]
  6. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Genetic programming for edge detection using multivariate density". In Proceedings of Genetic and Evolutionary Computation Conference. Amsterdam, The Netherlands, pp 917-924. 2013. [ http | BibTex ]
  7. Syahaneim Marzukhi, Will Browne, and Mengjie Zhang. "Adaptive artificial datasets to discover the effects of domain features for classification tasks". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). Amsterdam, The Netherlands, pp 157-158. 2013. [ http | BibTex ]
  8. Bing Xue, Mengjie Zhang, Yan Dai, and Will Browne. "PSO for feature construction and binary classification". In Proceedings of Genetic and Evolutionary Computation Conference. pp 137-144. 2013. [ http | BibTex ]
  9. Muhammad Iqbal, Will Browne, and Mengjie Zhang. "Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems". In Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference. Amsterdam, The Netherlands, pp 1045-1052. ACM, 2013. [ http | BibTex ]
  10. Syed S Naqvi, Will Browne, and Christopher Hollitt. "Optimizing visual attention models for predicting human fixations using Genetic Algorithms". In Evolutionary Computation (CEC), 2013 IEEE Congress on. pp 1302-1309. IEEE, 2013. [ http | BibTex ]
  11. Syahaneim Marzukhi, Will Browne, and Mengjie Zhang. "Adaptive artificial datasets through learning classifier systems for classification tasks". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). pp 1243-1250. 2013. [ http | BibTex ]
  12. Muhammad Iqbal, Will Browne, and Mengjie Zhang. "Comparison of two methods for computing action values in XCS with code-fragment actions". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). pp 1235-1242. 2013. [ http | BibTex ]
  13. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Genetic Programming for Automatic Construction of Variant Features in Edge Detection". In EvoApplications. pp 354-364. 2013. [ http | BibTex ]
  14. Soha Ahmed, Mengjie Zhang, and Lifeng Peng. "Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach". In EvoBIO. pp 43-55. 2013. [ http | BibTex ]
  15. Liam Cervante, Bing Xue, Lin Shang, and Mengjie Zhang. "A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory". In EvoCOP. pp 25-36. 2013. [ http | BibTex ]
  16. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming". In EvoApplications. pp 365-375. 2013. [ http | BibTex ]
  17. Urvesh Bhowan, Mark Johnston, and Mengjie Zhang. "Comparing ensemble learning approaches in genetic programming for classification with unbalanced data". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). Amsterdam, The Netherlands, pp 135-136. 2013. [ http | BibTex ]
  18. Juan Rada-Vilela, Mengjie Zhang, and Mark Johnston. "Optimal computing budget allocation in particle swarm optimization". In Proceedings of Genetic and Evolutionary Computation Conference. Amsterdam, The Netherlands, pp 81-88. 2013. [ http | BibTex ]
  19. Bing Xue, Mengjie Zhang, and Will Browne. "Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification". In EvoApplications. pp 428-438. 2013. [ http | BibTex ]
  20. John Park, Su Nguyen, Mengjie Zhang, and Mark Johnston. "Genetic programming for order acceptance and scheduling". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 1005-1012. IEEE, 2013. [ http | BibTex ]
  21. Aneta Stevanovic, Bing Xue, and Mengjie Zhang. "Feature selection based on PSO and decision-theoretic rough set model". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 2840-2847. IEEE, 2013. [ http | BibTex ]
  22. Muhammad Iqbal, Will Browne, and Mengjie Zhang. "Learning overlapping natured and niche imbalance boolean problems using XCS classifier systems". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 1818-1825. IEEE, 2013. [ http | BibTex ]
  23. Roman Klapaukh, Will Browne, and Mengjie Zhang. "The effect of primitive sets on the expression of evolved images". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 725-732. IEEE Press, 2013. [ http | BibTex ]
  24. Liam Cervante, Bing Xue, Lin Shang, and Mengjie Zhang. "Binary particle swarm optimisation and rough set theory for dimension reduction in classification". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 2428-2435. IEEE, 2013. [ http | BibTex ]
  25. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Triangular-distribution-based feature construction using Genetic Programming for edge detection". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 1732-1739. IEEE Press, 2013. [ http | BibTex ]
  26. Soha Ahmed, Mengjie Zhang, and Lifeng Peng. "Enhanced feature selection for biomarker discovery in LC-MS data using GP". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 584-591. IEEE, 2013. [ http | BibTex ]
  27. Juan Rada-Vilela, Mengjie Zhang, and Mark Johnston. "Resampling in Particle Swarm Optimization". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 947-954. IEEE, 2013. [ http | BibTex ]
  28. Yang Yu, Hui Ma, and Mengjie Zhang. "An adaptive genetic programming approach to QoS-aware web services composition". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 1740-1747. IEEE, 2013. [ http | BibTex ]
  29. Aaron Scoble, Will Browne, Bill Stephenson, Zane Bruce, and Mengjie Zhang. "Evolutionary spatial auto-correlation for assessing earthquake liquefaction potential using Parallel Linear Genetic Programming". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 2940-2947. IEEE Press, 2013. [ http | BibTex ]
  30. Bing Xue, Mengjie Zhang, Yan Dai, and Will Browne. "PSO for feature construction and binary classification". In Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference. Amsterdam, The Netherlands, pp 137-144. ACM, 2013. [ http | BibTex ]
  31. Muhammad Iqbal, Will Browne, and Mengjie Zhang. "Comparison of two methods for computing action values in XCS with code-fragment actions". In Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion. Amsterdam, The Netherlands, pp 1235-1242. ACM, 2013. [ http | BibTex ]
  32. Harith Al-Sahaf, Andy Song, and Mengjie Zhang. "Hybridisation of Genetic Programming and Nearest Neighbour for classification". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 2650-2657. IEEE, 2013. [ http | BibTex ]
  33. Syahaneim Marzukhi, Will Browne, and Mengjie Zhang. "Adaptive artificial datasets through learning classifier systems for classification tasks". In Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion. Amsterdam, The Netherlands, pp 1243-1250. ACM, 2013. [ http | BibTex ]

Year: 2012

Refereed Journal Articles and Edited Journal Special Issues

  1. Urvesh Bhowan, Mark Johnston, and Mengjie Zhang. "Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data". IEEE Transactions on Systems, Man, and Cybernetics, Part B vol. 42, no. 2 (2012): 406-421. [ http | BibTex ]
  2. Bing Xue, Mengjie Zhang, and Will Browne. "Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach". IEEE Transactions on Systems, Man, and Cybernetics (Part B) (2012). [ http | .pdf | BibTex ]
  3. Rohitash Chandra, Marcus R. Frean, and Mengjie Zhang. "Crossover-based local search in cooperative co-evolutionary feedforward neural networks". Applications in Soft Computing vol. 12, no. 9 (2012): 2924-2932. [ http | BibTex ]
  4. Harith Al-Sahaf, Andy Song, Kourosh Neshatian, and Mengjie Zhang. "Two-Tier genetic programming: towards raw pixel-based image classification". Expert Systems with Applications vol. 39, no. 16 (2012): 12291-12301. [ http | BibTex ]
  5. Bing Xue, Liam Cervante, Lin Shang, Will Browne, and Mengjie Zhang. "A multi-objective particle swarm optimisation for filter-based feature selection in classification problems". Connection Science vol. 24, no. 2-3 (2012): 91-116. [ http | .pdf | BibTex ]
  6. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem". Evolutionary Computation, IEEE Transactions on vol. PP, no. 99 (2012): 1-1. [ http | BibTex ]
  7. Bing Xue, Liam Cervante, Lin Shang, Will Browne, and Mengjie Zhang. "A multi-objective particle swarm optimisation for filter-based feature selection in classification problems". Connection Science vol. 24, no. 2-3 (2012): 91-116. [ http | BibTex ]
  8. Rohitash Chandra, Marcus R. Frean, and Mengjie Zhang. "On the issue of separability for problem decomposition in cooperative neuro-evolution". Neurocomputing vol. 87 (2012): 33-40. [ http | BibTex ]
  9. Rohitash Chandra, and Mengjie Zhang. "Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction". Neurocomputing vol. 86 (2012): 116-123. [ http | BibTex ]
  10. Huayang Xie, and Mengjie Zhang. "Impacts of sampling strategies in tournament selection for genetic programming". Soft Computing vol. 16, no. 4 (2012): 615-633. [ http | BibTex ]
  11. Kourosh Neshatian, Mengjie Zhang, and Peter Andreae. "A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming". IEEE Trans. Evolutionary Computation vol. 16, no. 5 (2012): 645-661. [ http | BibTex ]
  12. Rohitash Chandra, Marcus R. Frean, and Mengjie Zhang. "Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks". Soft Computing vol. 16, no. 6 (2012): 1009-1020. [ http | BibTex ]
  13. Harith Al-Sahaf, Andy Song, Kourosh Neshatian, and Mengjie Zhang. "Two-Tier genetic programming: towards raw pixel-based image classification". Expert Syst. Appl. vol. 39, no. 16 (2012): 12291-12301. [ http | BibTex ]
  14. Andy Song, and Mengjie Zhang. "Genetic programming for detecting target motions". Connection Science vol. 24, no. 2-3 (2012): 117-141. [ http | BibTex ]
  15. Carlton Downey, Mengjie Zhang, and Jing Liu. "Parallel linear genetic programming for multi-class classification". Genetic Programming and Evolvable Machines vol. 13, no. 3 (2012): 275-304. [ http | BibTex ]

Refereed Book Chapters, and Papers in Conference Proceedings

  1. Liam Cervante, Bing Xue, Lin Shang, and Mengjie Zhang. "A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory". In Australasian Conference on Artificial Intelligence. pp 313-325. 2012. [ http | BibTex ]
  2. Soha Ahmed, Mengjie Zhang, and Lifeng Peng. "Genetic Programming for Biomarker Detection in Mass Spectrometry Data". In Australasian Conference on Artificial Intelligence. pp 266-278. 2012. [ http | BibTex ]
  3. Muhammad Iqbal, Will Browne, and Mengjie Zhang. "XCSR with Computed Continuous Action". In Australasian Conference on Artificial Intelligence. pp 350-361. 2012. [ http | BibTex ]
  4. Bing Xue, Mengjie Zhang, and Will Browne. "New fitness functions in binary particle swarm optimisation for feature selection". In IEEE Congress on Evolutionary Computation. pp 2145-2152. IEEE Press, 2012. [ http | BibTex ]
  5. Bing Xue, Mengjie Zhang, and Will Browne. "Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection". In Australian Computer Science Communications. Melboune, Australia, pp 27-36. 2012. [ http | BibTex ]
  6. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection". In Australasian Conference on Artificial Intelligence. pp 144-155. 2012. [ http | BibTex ]
  7. Juan Rada-Vilela, Mengjie Zhang, and Winston Seah. "A performance study on the effects of noise and evaporation in Particle Swarm Optimization". In IEEE Congress on Evolutionary Computation. pp 873-880. IEEE Press, 2012. [ http | BibTex ]
  8. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Soft edge maps from edge detectors evolved by genetic programming". In IEEE Congress on Evolutionary Computation. pp 24-31. IEEE Press, 2012. [ http | BibTex ]
  9. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Genetic programming for edge detection via balancing individual training images". In IEEE Congress on Evolutionary Computation. pp 2597-2604. IEEE Press, 2012. [ http | BibTex ]
  10. Rachel Hunt, Kourosh Neshatian, and Mengjie Zhang. "Scalability analysis of genetic programming classifiers". In IEEE Congress on Evolutionary Computation. pp 1416-1422. IEEE Press, 2012. [ http | BibTex ]
  11. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems". In IEEE Congress on Evolutionary Computation. pp 3261-3268. IEEE Press, 2012. [ http | BibTex ]
  12. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "Effects of static and dynamic topologies in Particle Swarm Optimisation for edge detection in noisy images". In IEEE Congress on Evolutionary Computation. pp 8-15. IEEE Press, 2012. [ http | BibTex ]
  13. Ruobing Li, Wenkai Li, Lin Shang, Yang Gao 0001, and Mengjie Zhang. "Opponent's Style Modeling Based on Situations for Bayesian Poker". In Australasian Conference on Artificial Intelligence. pp 385-396. 2012. [ http | BibTex ]
  14. Aaron Scoble, Mark Johnston, and Mengjie Zhang. "Local Search in Parallel Linear Genetic Programming for Multiclass Classification". In Australasian Conference on Artificial Intelligence. pp 373-384. 2012. [ http | BibTex ]
  15. Harith Al-Sahaf, Andy Song, Kourosh Neshatian, and Mengjie Zhang. "Extracting image features for classification by two-tier genetic programming". In IEEE Congress on Evolutionary Computation. pp 567-574. IEEE Press, 2012. [ http | BibTex ]
  16. Fahmi Abdulhamid, Andy Song, Kourosh Neshatian, and Mengjie Zhang. "Evolving Genetic Programming classifiers with loop structures". In IEEE Congress on Evolutionary Computation. pp 2581-2588. IEEE Press, 2012. [ http | BibTex ]
  17. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Multi-frequency transformation for edge detection". In IVCNZ. Dunedin, New Zealand, pp 204-209. 2012. [ http | BibTex ]
  18. Lin Shang, Haipeng Wang, Xinyu Dai, and Mengjie Zhang. "Opinion Target Extraction for Short Comments". In Proceedings of 2012 Pacific Rim International Conference on Artificial Intelligence. pp 528-539. 2012. [ http | BibTex ]
  19. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Genetic programming for edge detection based on figure of merit". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). Philadelphia, USA, pp 1483-1484. ACM Press, 2012. [ http | BibTex ]
  20. Samuel Hindmarsh, Peter Andreae, and Mengjie Zhang. "Genetic programming for improving image descriptors generated using the scale-invariant feature transform". In IVCNZ. Dunedin, New Zealand, pp 85-90. 2012. [ http | BibTex ]
  21. Bing Xue, Liam Cervante, Lin Shang, and Mengjie Zhang. "A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification". In Proceedings of 2012 Pacific Rim International Conference on Artificial Intelligence. pp 673-685. 2012. [ http | BibTex ]
  22. Juan Rada-Vilela, Mengjie Zhang, and Winston Seah. "Evaporation Mechanisms for Particle Swarm Optimization". In Proceedings of the 2012 International Conference on Simulated Evolution And Learning. pp 238-247. 2012. [ http | BibTex ]
  23. Rachel Hunt, Kourosh Neshatian, and Mengjie Zhang. "A Genetic Programming Approach to Hyper-Heuristic Feature Selection". In Proceedings of the 2012 International Conference on Simulated Evolution And Learning. pp 320-330. 2012. [ http | BibTex ]
  24. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection". In Proceedings of the 2012 International Conference on Simulated Evolution And Learning. pp 22-31. 2012. [ http | BibTex ]
  25. Rohitash Chandra, Mengjie Zhang, and Lifeng Peng. "Application of Cooperative Convolution Optimization for 13C Metabolic Flux Analysis: Simulation of Isotopic Labeling Patterns Based on Tandem Mass Spectrometry Measurements". In Proceedings of the 2012 International Conference on Simulated Evolution And Learning. pp 178-187. 2012. [ http | BibTex ]
  26. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming". In Proceedings of the 15th European Conference on Genetic Programming. pp 121-133. 2012. [ http | BibTex ]
  27. Bing Xue, Mengjie Zhang, and Will Browne. "Multi-objective particle swarm optimisation (PSO) for feature selection". In Proceedings of Genetic and Evolutionary Computation Conference. Philadelphia, USA, pp 81-88. ACM Press, 2012. [ http | BibTex ]
  28. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming". In Proceedings of the 2012 International Conference on Simulated Evolution And Learning. pp 341-350. 2012. [ http | BibTex ]
  29. Kourosh Neshatian, and Mengjie Zhang. "Improving Relevance Measures Using Genetic Programming". In Proceedings of the 15th European Conference on Genetic Programming. pp 97-108. 2012. [ http | BibTex ]
  30. Toktam Ebadi, Mengjie Zhang, and Will Browne. "XCS-based versus UCS-based feature pattern classification system". In Proceedings of Genetic and Evolutionary Computation Conference. Philadelphia, USA, pp 839-846. ACM Press, 2012. [ http | BibTex ]
  31. Syahaneim Marzukhi, Will Browne, and Mengjie Zhang. "Two-cornered learning classifier systems for pattern generation and classification". In Proceedings of Genetic and Evolutionary Computation Conference. Philadelphia, USA, pp 895-902. ACM Press, 2012. [ http | BibTex ]
  32. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "A spatial random-meaningful neighbourhood topology in pso for edge detection in noisy images". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). Philadelphia, USA, pp 1403-1404. ACM Press, 2012. [ http | BibTex ]
  33. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Genetic programming for edge detection using blocks to extract features". In Proceedings of Genetic and Evolutionary Computation Conference. Philadelphia, USA, pp 855-862. ACM Press, 2012. [ http | BibTex ]
  34. Muhammad Iqbal, Will Browne, and Mengjie Zhang. "Extracting and using building blocks of knowledge in learning classifier systems". In Proceedings of Genetic and Evolutionary Computation Conference. Philadelphia, USA, pp 863-870. ACM Press, 2012. [ http | BibTex ]
  35. Henry Williams, Will Browne, and Michael Milford. "Image Region Salience for Improving Appearance-Based Place Recognition using a Supervised Classifer System". In Proceedings of Australasian Conference on Robotics and Automation. pp 8. ACRA, 2012. [ .pdf | BibTex ]
  36. Liam Cervante, Bing Xue, Mengjie Zhang, and Lin Shang. "Binary particle swarm optimisation for feature selection: A filter based approach". In IEEE Congress on Evolutionary Computation. pp 881-888. IEEE Press, 2012. [ http | BibTex ]
  37. Henry Williams, and Will Browne. "Integration of Learning Classifier Systems with simultaneous localisation and mapping for autonomous robotics". In Evolutionary Computation (CEC), 2012 IEEE Congress on. pp 1-8. IEEE, 2012. [ http | BibTex ]

Year: 2011

Refereed Journal Articles and Edited Journal Special Issues

  1. Kourosh Neshatian, and Mengjie Zhang. "Using genetic programming for context-sensitive feature scoring in classification problems". Connection Science vol. 23, no. 3 (2011): 183-207. [ http | BibTex ]
  2. Huayang Xie, and Mengjie Zhang. "Depth-control strategies for crossover in tree-based genetic programming". Soft Computing vol. 15, no. 9 (2011): 1865-1878. [ http | BibTex ]
  3. Ammar W. Mohemmed, Mark Johnston, and Mengjie Zhang. "Particle swarm optimisation based AdaBoost for object detection". Soft Computing vol. 15, no. 9 (2011): 1793-1805. [ http | BibTex ]
  4. Rohitash Chandra, Marcus R. Frean, Mengjie Zhang, and Christian W. Omlin. "Encoding subcomponents in cooperative co-evolutionary recurrent neural networks". Neurocomputing vol. 74, no. 17 (2011): 3223-3234. [ http | BibTex ]
  5. Mengjie Zhang, Michael Kirley, and Xiaodong Li. "Guest Editorial: special issue on evolutionary optimisation and learning". Soft Computing vol. 15, no. 9 (2011): 1671-1673. [ http | BibTex ]

Refereed Book Chapters, and Papers in Conference Proceedings

  1. Rohitash Chandra, Marcus R. Frean, and Mengjie Zhang. "Modularity adaptation in cooperative coevolution of feedforward neural networks". In Proceedings of 2011 the International Joint Conference on Neural Networks. San Jose, California, pp 681-688. IEEE Press, 2011. [ http | BibTex ]
  2. Rohitash Chandra, Marcus R. Frean, and Mengjie Zhang. "A memetic framework for cooperative coevolution of recurrent neural networks". In Proceedings of 2011 the International Joint Conference on Neural Networks. San Jose, California, pp 673-680. IEEE Press, 2011. [ http | BibTex ]
  3. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images". In Australasian Conference on Artificial Intelligence vol. 7106. pp 609-618. Springer, 2011. [ http | BibTex ]
  4. Jingxuan Wei, and Mengjie Zhang. "Simplex Model Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization". In Australasian Conference on Artificial Intelligence vol. 7106. pp 372-381. Springer, 2011. [ http | BibTex ]
  5. Aaron Scoble, Mark Johnston, and Mengjie Zhang. "Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming". In Australasian Conference on Artificial Intelligence vol. 7106. pp 341-350. Springer, 2011. [ http | BibTex ]
  6. Daniel L. Atkins, Kourosh Neshatian, and Mengjie Zhang. "A domain independent Genetic Programming approach to automatic feature extraction for image classification". In IEEE Congress on Evolutionary Computation. New Orleans, USA, pp 238-245. IEEE Press, 2011. [ http | BibTex ]
  7. Anna Friedlander, Kourosh Neshatian, and Mengjie Zhang. "Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting". In IEEE Congress on Evolutionary Computation. New Orleans, USA, pp 941-948. IEEE Press, 2011. [ http | BibTex ]
  8. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Genetic programming for edge detection: A global approach". In IEEE Congress on Evolutionary Computation. New Orleans, USA, pp 254-261. IEEE Press, 2011. [ http | BibTex ]
  9. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "Edge detection using constrained discrete particle swarm optimisation in noisy images". In IEEE Congress on Evolutionary Computation. New Orleans, USA, pp 246-253. IEEE Press, 2011. [ http | BibTex ]
  10. Juan Rada-Vilela, Mengjie Zhang, and Winston Seah. "Random Asynchronous PSO". In Proceedings of the 5th International Conference on Automation, Robots and Applications. Wellington, New Zealand, pp 220-225. IEEE Press, 2011. [ http | BibTex ]
  11. Juan Rada-Vilela, Mengjie Zhang, and Winston Seah. "A performance study on synchronous and asynchronous updates in particle swarm optimization". In Proceedings of Genetic and Evolutionary Computation Conference. pp 21-28. ACM Press, 2011. [ http | BibTex ]
  12. Ignas Kukenys, Will Browne, and Mengjie Zhang. "Transparent, Online Image Pattern Classification Using a Learning Classifier System". In EvoApplications (1). pp 183-193. 2011. [ http | BibTex ]
  13. Jingxuan Wei, and Mengjie Zhang. "Attraction based PSO with sphere search for dynamic constrained multi-objective optimization problems". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). pp 77-78. ACM Press, 2011. [ http | BibTex ]
  14. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Hybrid particle swarm optimisation based on history information sharing". In Proceedings of Genetic and Evolutionary Computation Conference. pp 77-84. ACM Press, 2011. [ http | BibTex ]
  15. Jingxuan Wei, and Mengjie Zhang. "A memetic particle swarm optimization for constrained multi-objective optimization problems". In IEEE Congress on Evolutionary Computation. New Orleans, USA, pp 1636-1643. IEEE Press, 2011. [ http | BibTex ]
  16. Carlton Downey, and Mengjie Zhang. "Execution trace caching for Linear Genetic Programming". In IEEE Congress on Evolutionary Computation. New Orleans, USA, pp 1186-1193. IEEE Press, 2011. [ http | BibTex ]
  17. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation". In EvoApplications (1) vol. 6624. Torino, Italy, pp 173-182. 2011. [ http | BibTex ]
  18. Carlton Downey, and Mengjie Zhang. "Parallel Linear Genetic Programming". In Proceedings of the 14th European Conference on Genetic Programming vol. 6621. pp 178-189. Springer, 2011. [ http | BibTex ]
  19. Harith Al-Sahaf, Kourosh Neshatian, and Mengjie Zhang. "Automatic feature extraction and image classification using genetic programming". In Proceedings of the 5th International Conference on Automation, Robots and Applications. Wellington, New Zealand, pp 157-162. IEEE Press, 2011. [ http | BibTex ]
  20. Urvesh Bhowan, Mark Johnston, and Mengjie Zhang. "Evolving ensembles in multi-objective genetic programming for classification with unbalanced data". In Proceedings of Genetic and Evolutionary Computation Conference. pp 1331-1338. ACM Press, 2011. [ http | BibTex ]
  21. Fahmi Abdulhamid, Kourosh Neshatian, and Mengjie Zhang. "Genetic programming for evolving programs with loop structures for classification tasks". In Proceedings of the 5th International Conference on Automation, Robots and Applications. Wellington, New Zealand, pp 202-207. IEEE Press, 2011. [ http | BibTex ]
  22. Syahaneim Marzukhi, Will Browne, and Mengjie Zhang. "Developing an evolvable pattern generator using learning classifier systems". In Proceedings of the 5th International Conference on Automation, Robots and Applications. Wellington, New Zealand, pp 163-168. IEEE Press, 2011. [ http | BibTex ]
  23. Carlton Downey, and Mengjie Zhang. "Caching for parallel linear genetic programming". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). pp 201-202. ACM Press, 2011. [ http | BibTex ]
  24. Ignas Kukenys, Will Browne, and Mengjie Zhang. "Confusion matrices for improving performance of feature pattern classifier systems". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). pp 181-182. ACM Press, 2011. [ http | BibTex ]
  25. Su Nguyen, Mengjie Zhang, and Mark Johnston. "A genetic programming based hyper-heuristic approach for combinatorial optimisation". In Proceedings of Genetic and Evolutionary Computation Conference. pp 1299-1306. ACM Press, 2011. [ http | BibTex ]
  26. Muhammad Iqbal, Mengjie Zhang, and Will Browne. "Automatically defined functions for learning classifier systems". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). pp 375-382. ACM Press, 2011. [ http | BibTex ]
  27. Rachel Hunt, Mark Johnston, and Mengjie Zhang. "Improving Robustness of Multiple-Objective Genetic Programming for Object Detection". In Australasian Conference on Artificial Intelligence vol. 7106. pp 311-320. Springer, 2011. [ http | BibTex ]
  28. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "A novel local thresholding technique in PSO for detecting continuous edges in noisy images". In Proceedings of the 26th International Conference on Image and Vision Computing, New Zealand. Auckland, New Zealand, pp 333-339. 2011. [ .pdf | BibTex ]
  29. Fahmi Abdulhamid, Kourosh Neshatian, and Mengjie Zhang. "Image recognition using genetic programming with loop structures". In Proceedings of the Twenty-sixth International Conference on Image and Vision Computing New Zealand vol. 29. Auckland, New Zealand, pp 553-558. 2011. [ .pdf | BibTex ]
  30. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "Detection of continuous, smooth and thin edges in noisy images using constrained particle swarm optimisation". In Proceedings of Genetic and Evolutionary Computation Conference. pp 45-52. ACM Press, 2011. [ http | BibTex ]
  31. Ignas Kukenys, Will Browne, and Mengjie Zhang. "Transparent, online image pattern classification using a learning classifier system", chapter in Applications of Evolutionary Computation. Proceedings of the 2011 international conference on Applications of evolutionary computation, pp. 183-193. Springer, 2011. [ http | BibTex ]
  32. Harith Al-Sahaf, Kourosh Neshatian, and Mengjie Zhang. "Two-tier genetic programming for automatic feature extraction, feature selection and image classification". In Proceedings of the Twenty-sixth International Conference on Image and Vision Computing New Zealand vol. 29. Auckland, New Zealand, pp 109-114. 2011. [ .pdf | BibTex ]
  33. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Analysis of diagonal derivatives in edge detectors evolved by genetic programming". In Proceedings of the Twenty-Sixth International Conference on Image and Vision Computing, New Zealand. Auckland, New Zealand, pp 345-350. 2011. [ .pdf | BibTex ]
  34. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Genetic Programming for Edge Detection Based on Accuracy of Each Training Image". In Australasian Conference on Artificial Intelligence vol. 7106. pp 301-310. Springer, 2011. [ http | BibTex ]
  35. Urvesh Bhowan, Mark Johnston, and Mengjie Zhang. "Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data". In Australasian Conference on Artificial Intelligence vol. 7106. pp 192-202. Springer, 2011. [ http | BibTex ]

Older

Refereed Journal Articles and Edited Journal Special Issues

  1. Daniel McGaughran, and Mengjie Zhang. "Evolving More Representative Programs with Genetic Programming". International Journal of Software Engineering and Knowledge Engineering vol. 19, no. 1 (2009): 1-22. [ http | BibTex ]
  2. David Kinzett, Mark Johnston, and Mengjie Zhang. "Numerical simplification for bloat control and analysis of building blocks in genetic programming". Evolutionary Intelligence vol. 2, no. 4 (2009): 151-168. [ http | BibTex ]
  3. Michael Kirley, Mengjie Zhang, and Xiaodong Li. "Special issue on simulated evolution and learning". Evolutionary Intelligence vol. 2, no. 4 (2009): 149-150. [ http | BibTex ]
  4. Xiaoying Gao, Le, and Mengjie Zhang. "Detecting data records in semi-structured web sites based on text token clustering". Integrated Computer-Aided Engineering vol. 15, no. 4 (2008): 297-311. [ http | BibTex ]
  5. Peter Andreae, Huayang Xie, and Mengjie Zhang. "Genetic Programming for detecting rhythmic stress in spoken English". KES Journal vol. 12, no. 1 (2008): 15-28. [ http | BibTex ]
  6. Mengjie Zhang, and Phillip Wong. "Genetic programming for medical classification: a program simplification approach". Genetic Programming and Evolvable Machines vol. 9, no. 3 (2008): 229-255. [ http | BibTex ]
  7. Mengjie Zhang, and Phillip Wong. "Explicitly Simplifying Evolved Genetic Programs during Evolution". International Journal of Computational Intelligence and Applications vol. 7, no. 2 (2008): 201-232. [ http | BibTex ]
  8. Mengjie Zhang, Xiaoying Gao, and 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): 1332-1343. [ http | BibTex ]
  9. Xiaoli Ma, Guifa Teng, and Mengjie Zhang. "Carbon Potential Prediction". Journal of Agricultural Mechanization Research (2007): 64-68. [ BibTex ]
  10. Xin Li, Jinguo Zhang, Mengjie Zhang, and Li Zhao. "An Approach to Identification of Weed in Wheat Fields". Journal of Agricultural Mechanization Research (2007): 64-68. [ BibTex ]
  11. Mengjie Zhang, Urvesh Bhowan, and 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): 27-43. [ BibTex ]
  12. Zhang, Mengjie. "Improving Object Detection Performance with Genetic Programming". International Journal on Artificial Intelligence Tools vol. 16, no. 5 (2007): 849-873. [ http | BibTex ]
  13. Mengjie Zhang, Christopher Fogelberg, and Yuejin Ma. "A linear structured approach and a refined fitness function in genetic programming for multi-class object classification". Connection Science vol. 19, no. 4 (2007): 339-359. [ http | BibTex ]
  14. Mengjie Zhang, and Malcolm Lett. "Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data". IEEE Intelligent Informatics Bulletin vol. 7, no. 1 (2006): 12-21. [ .pdf | BibTex ]
  15. Mengjie Zhang, and William D. Smart. "Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification". Pattern Recognition Letters vol. 27, no. 11 (2006): 1266-1274. [ http | BibTex ]
  16. Dong Qian Wang, and Mengjie Zhang. "A new approach to multiple class pattern classification with random matrices". Journal of Applied Mathematics and Decision Sciences vol. 9, no. 3 (2005): 165-175. [ http | BibTex ]
  17. Xiaoying Gao, Mengjie Zhang, and Peter Andreae. "Automatic Pattern Construction For Web Information Extraction". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems vol. 12, no. 4 (2004): 447-470. [ http | BibTex ]
  18. Mengjie Zhang, and Victor Ciesielski. "Neural Networks And Genetic Algorithms For Domain Independent Multiclass Object Detection". International Journal of Computational Intelligence and Applications vol. 4, no. 1 (2004): 77-108. [ http | BibTex ]
  19. Xiaoying Gao, and Mengjie Zhang. "A Knowledge Learning Approach to Information Extraction from Multiple Text Based Web Sites". International Journal on Artificial Intelligence Tools vol. 13, no. 3 (2004): 721-738. [ http | BibTex ]
  20. Mengjie Zhang, Victor Ciesielski, and Peter Andreae. "A Domain-Independent Window Approach to Multiclass Object Detection Using Genetic Programming". EURASIP Journal on Applied Signal Processing vol. 2003, no. 8 (2003): 841-859. [ http | BibTex ]
  21. Mengjie Zhang. "Object Mining in Image Data Using Neural Networks". Communications of Information and Computing Machinary vol. 5, no. 2 (2002): 107-112. [ BibTex ]
  22. Zhang Mengjie, Teng Quifa, Huang Lihua, and Zhao Li. "Object-Oriented Technology and its application to Expert Systems". Journal of Office Automation (Japan) vol. 14, no. 3-4 (1993): 171-173. [ BibTex ]
  23. Liu Fengqin, Zhang Mengjie, and Yang Qing. "Design and Implementation of the Object-Oriented Knowledge Representation System". Journal of Computer Application in Agriculture vol. 1, no. 3 (1993): 21-26. [ BibTex ]
  24. Mengjie Zhang, and Liu Gang. "Fault Diagnosis Expert System with Knowledge Bases of Blackboard-Frame Structure". Journal of Hebei Agricultural University vol. 13, no. 4 (1990): 73-77. [ BibTex ]

Refereed Book Chapters, and Papers in Conference Proceedings

  1. Mark Johnston, Thomas Liddle, and Mengjie Zhang. "A Relaxed Approach to Simplification in Genetic Programming". In Proceedings of the 13th European Conference on Genetic Programming vol. 6021. pp 110-121. Springer, 2010. [ http | BibTex ]
  2. Nor, Ammar W. Mohemmed, and Mengjie Zhang. "Particle Swarm Optimization for Coverage Maximization and Energy Conservation in Wireless Sensor Networks". In EvoApplications (2) vol. 6021. pp 51-60. Springer, 2010. [ http | BibTex ]
  3. David Kinzett, Mengjie Zhang, and Mark Johnston. "Analysis of Building Blocks with Numerical Simplification in Genetic Programming". In Proceedings of the 13th European Conference on Genetic Programming vol. 6021. pp 289-300. Springer, 2010. [ http | BibTex ]
  4. Ammar W. Mohemmed, Mengjie Zhang, and Will Browne. "Particle swarm optimisation for outlier detection". In Proceedings of Genetic and Evolutionary Computation Conference. Portland, USA, pp 83-84. ACM, 2010. [ http | BibTex ]
  5. Urvesh Bhowan, Mengjie Zhang, and Mark Johnston. "AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data". In Proceedings of Genetic and Evolutionary Computation Conference. Portland, USA, pp 845-852. ACM, 2010. [ http | BibTex ]
  6. Rachel Hunt, Mark Johnston, Will Browne, and Mengjie Zhang. "Sampling Methods in Genetic Programming for Classification with Unbalanced Data". In Australasian Conference on Artificial Intelligence vol. 6464. Adelaide, Australia, pp 273-282. Springer, 2010. [ http | BibTex ]
  7. Carlton Downey, Mengjie Zhang, and Will Browne. "New crossover operators in linear genetic programming for multiclass object classification". In Proceedings of Genetic and Evolutionary Computation Conference. Portland, USA, pp 885-892. ACM, 2010. [ http | BibTex ]
  8. Urvesh Bhowan, Mengjie Zhang, and Mark Johnston. "Genetic Programming for Classification with Unbalanced Data". In Proceedings of the 13th European Conference on Genetic Programming vol. 6021. pp 1-13. Springer, 2010. [ http | BibTex ]
  9. Daniel L. Atkins, Roman Klapaukh, Will Browne, and Mengjie Zhang. "Evolution of aesthetically pleasing images without human-in-the-loop". In IEEE Congress on Evolutionary Computation. Barcelona, Spain, pp 2194-2201. IEEE, 2010. [ http | BibTex ]
  10. Mahdi Setayesh, Mark Johnston, and Mengjie Zhang. "Edge and Corner Extraction Using Particle Swarm Optimisation". In Australasian Conference on Artificial Intelligence vol. 6464. Adelaide, Australia, pp 323-333. Springer, 2010. [ http | BibTex ]
  11. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Hybrid Particle Swarm Optimisation Algorithms Based on Differential Evolution and Local Search". In Australasian Conference on Artificial Intelligence vol. 6464. Adelaide, Australia, pp 313-322. Springer, 2010. [ http | BibTex ]
  12. David Kinzett, Mengjie Zhang, and Mark Johnston. "Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs". In IEEE Congress on Evolutionary Computation. Barcelona, Spain, pp 3065-3072. IEEE, 2010. [ http | BibTex ]
  13. Andy Song, Dunhai Chen, and Mengjie Zhang. "Contribution based bloat control in Genetic Programming". In IEEE Congress on Evolutionary Computation. Barcelona, Spain, pp 1725-1732. IEEE, 2010. [ http | BibTex ]
  14. Thomas Liddle, Mark Johnston, and Mengjie Zhang. "Multi-Objective Genetic Programming for object detection". In IEEE Congress on Evolutionary Computation. Barcelona, Spain, pp 3345-3352. IEEE, 2010. [ http | BibTex ]
  15. Jan Larres, Mengjie Zhang, and Will Browne. "Using unrestricted loops in genetic programming for image classification". In IEEE Congress on Evolutionary Computation. Barcelona, Spain, pp 4600-4607. IEEE, 2010. [ http | BibTex ]
  16. Rohitash Chandra, Marcus R. Frean, and Mengjie Zhang. "An Encoding Scheme for Cooperative Coevolutionary Feedforward Neural Networks". In Australasian Conference on Artificial Intelligence vol. 6464. Adelaide, Australia, pp 253-262. Springer, 2010. [ http | BibTex ]
  17. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "Improving edge detection using particle swarm optimisation". In Image and Vision Computing New Zealand (IVCNZ), 2010 25th International Conference of. Queenstown, New Zealand, pp 1-8. IEEE, 2010. [ http | BibTex ]
  18. Lee Macri, Will Browne, and Mengjie Zhang. "Particle swarm optimisation based AdaBoost for facial expression classification of still images". In Image and Vision Computing New Zealand (IVCNZ), 2010 25th International Conference of. Queenstown, New Zealand, pp 1-8. IEEE, 2010. [ http | BibTex ]
  19. Urvesh Bhowan, Mengjie Zhang, and Mark Johnston. "A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data". In Proceedings of the 23rd Australasian Conference on Artificial Intelligence vol. 6464. Adelaide, Australia, pp 243-252. Springer, 2010. [ http | BibTex ]
  20. Huayang Xie, and Mengjie Zhang. "Balancing Parent and Offspring Selection in Genetic Programming". In Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09) vol. 5866. pp 454-464. Springer, 2009. [ http | BibTex ]
  21. Kourosh Neshatian, and Mengjie Zhang. "Unsupervised Elimination of Redundant Features Using Genetic Programming". In Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), Lecture Notes in Artificial Intelligence vol. 5866. pp 432-442. Springer, 2009. [ http | BibTex ]
  22. Urvesh Bhowan, Mark Johnston, and Mengjie Zhang. "Differentiating between individual class performance in Genetic Programming fitness for classification with unbalanced data". In IEEE Congress on Evolutionary Computation. pp 2802-2809. IEEE Press, 2009. [ http | BibTex ]
  23. Ammar W. Mohemmed, Mengjie Zhang, and Mark Johnston. "Particle Swarm Optimization based Adaboost for face detection". In IEEE Congress on Evolutionary Computation. pp 2494-2501. IEEE Press, 2009. [ http | BibTex ]
  24. Urvesh Bhowan, Mengjie Zhang, and Mark Johnston. "Multi-Objective Genetic Programming for Classification with Unbalanced Data". In Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), Lecture Notes in Artificial Intelligence vol. 5866. pp 370-380. Springer, 2009. [ http | BibTex ]
  25. Huayang Xie, and Mengjie Zhang. "An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms". In Proceedings of the 4th Australian Conference on Artificial Life (ACAL'09), Lecture Notes in Artificial Intelligence vol. 5865. pp 63-72. Springer, 2009. [ http | BibTex ]
  26. Andy Song, Dunhai Chen, and Mengjie Zhang. "Bloat control in genetic programming by evaluating contribution of nodes". In Proceedings of Genetic and Evolutionary Computation Conference. pp 1893-1894. ACM Press, 2009. [ http | BibTex ]
  27. Kourosh Neshatian, and Mengjie Zhang. "Pareto front feature selection: using genetic programming to explore feature space". In Proceedings of Genetic and Evolutionary Computation Conference. pp 1027-1034. ACM Press, 2009. [ http | BibTex ]
  28. Li Li, Xiaodong Wang, and Mengjie Zhang. "Robust Design about Container Terminal Logistics System". In SSME. pp 321-324. 2009. [ http | BibTex ]
  29. Mengjie Zhang, Stefano Cagnoni, and Gustavo Olague. "GECCO 2009 Tutorial: Evolutionary Computer Vision". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). pp 3355-3380. ACM Press, 2009. [ http | BibTex ]
  30. Kourosh Neshatian, and Mengjie Zhang. "Genetic Programming for Feature Subset Ranking in Binary Classification Problems". In Proceedings of the 12th European Conference on Genetic Programming vol. 5481. Tübingen, Germany, pp 121-132. Springer, 2009. [ http | BibTex ]
  31. Rohitash Chandra, Mengjie Zhang, and Luc Rolland. "A Hybrid Meta-Heuristic Approach to the Forward Kinematics of 3RPR Planar Parallel Manipulator". In International Symposium on Computational Intelligence in Robotics and Automation. pp 177-182. IEEE Press, 2009. [ http | BibTex ]
  32. David Kinzett, Mark Johnston, and Mengjie Zhang. "How online simplification affects building blocks in genetic programming". In Proceedings of Genetic and Evolutionary Computation Conference. pp 979-986. ACM Press, 2009. [ http | BibTex ]
  33. Ammar W. Mohemmed, Mark Johnston, and Mengjie Zhang. "Particle swarm optimization based multi-prototype ensembles". In Proceedings of Genetic and Evolutionary Computation Conference. pp 57-64. ACM Press, 2009. [ http | BibTex ]
  34. Carlton Downey, and Mengjie Zhang. "Multiclass object classification for computer vision using Linear Genetic Programming". In Image and Vision Computing New Zealand, 2009. IVCNZ'09. 24th International Conference. Wellington, New Zealand, pp 73-78. IEEE, 2009. [ http | BibTex ]
  35. Mengjie Zhang, and Mark Johnston. "A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification". In Evolutionary Image Analysis and Signal Processing vol. 213. pp 55-72. Springer, 2009. [ http | BibTex ]
  36. Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "A new homogeneity-based approach to edge detection using PSO". In Image and Vision Computing New Zealand, 2009. IVCNZ'09. 24th International Conference. Wellington, New Zealand, pp 231-236. IEEE Press, 2009. [ http | BibTex ]
  37. Kourosh Neshatian, and Mengjie Zhang. "Dimensionality reduction in face detection: A genetic programming approach". In Image and Vision Computing New Zealand, 2009. IVCNZ'09. 24th International Conference. Wellington, New Zealand, pp 391-396. IEEE, 2009. [ http | BibTex ]
  38. Urvesh Bhowan, Mengjie Zhang, and Mark Johnston. "Genetic programming for image classification with unbalanced data". In Image and Vision Computing New Zealand, 2009. IVCNZ'09. 24th International Conference. Wellington, New Zealand, pp 316-321. IEEE Press, 2009. [ BibTex ]
  39. Kourosh Neshatian, and Mengjie Zhang. "Genetic programming for performance improvement and dimensionality reduction of classification problems". In IEEE Congress on Evolutionary Computation. Hong Kong, pp 2811-2818. IEEE Press, 2008. [ http | BibTex ]
  40. Phillip Wong, and Mengjie Zhang. "SCHEME: Caching subtrees in genetic programming". In IEEE Congress on Evolutionary Computation. Hong Kong, pp 2678-2685. IEEE Press, 2008. [ http | BibTex ]
  41. Barret Chin, and Mengjie Zhang. "Object Detection Using Neural Networks and Genetic Programming". In Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science. pp 335-340. 2008. [ http | BibTex ]
  42. Huayang Xie, Mengjie Zhang, Peter Andreae, and Mark Johnston. "Is the not-sampled issue in tournament selection critical?". In IEEE Congress on Evolutionary Computation. Hong Kong, pp 3710-3717. IEEE Press, 2008. [ http | BibTex ]
  43. Kourosh Neshatian, and Mengjie Zhang. "Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems". In Proceedings of the 11th European Conference on Genetic Programming vol. 4971. Naple, Italy, pp 242-253. Springer, 2008. [ http | BibTex ]
  44. Ammar W. Mohemmed, Mengjie Zhang, and Nirod Chandra Sahoo. "Cooperative Particle Swarm Optimization for the Delay Constrained Least Cost Path Problem". In Proceedings of the Eighth European Conference on Evolutionary Computation in Combinatorial Optimisation European Conference on Genetic Programming, Lecture Notes in Computer Science vol. 4972. Naple, Italy, pp 25-35. Springer, 2008. [ http | BibTex ]
  45. Huayang Xie, Mengjie Zhang, and Peter Andreae. "An analysis of the distribution of swapped subtree sizes in tree-based genetic programming". In IEEE Congress on Evolutionary Computation. Hong Kong, pp 2859-2866. IEEE Press, 2008. [ http | BibTex ]
  46. Ammar W. Mohemmed, and Mengjie Zhang. "Evaluation of particle swarm optimization based centroid classifier with different distance metrics". In IEEE Congress on Evolutionary Computation. Hong Kong, pp 2929-2932. IEEE Press, 2008. [ http | BibTex ]
  47. William D. Smart, and Mengjie Zhang. "Empirical analysis of schemata in Genetic Programming using maximal schemata and MSG". In IEEE Congress on Evolutionary Computation. Hong Kong, pp 2983-2990. IEEE Press, 2008. [ http | BibTex ]
  48. Wayne Wobcke, Mengjie Zhang. "AI 2008: Advances in Artificial Intelligence, 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 1-5, 2008. Proceedings". In Australasian Conference on Artificial Intelligence vol. 5360. . Springer, 2008. [ BibTex ]
  49. Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke, Yuhui Shi. "Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings". In Proceedings of the 2008 International Conference on Simulated Evolution And Learning vol. 5361. . Springer, 2008. [ http | BibTex ]
  50. Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke, and Yuhui Shi. "Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings". In SEAL vol. 5361. . Springer, 2008. [ http | BibTex ]
  51. Ammar W. Mohemmed, Mengjie Zhang, and Mark Johnston. "A PSO Based Adaboost Approach to Object Detection". In Proceedings of the 2008 International Conference on Simulated Evolution And Learning vol. 5361. pp 81-90. Springer, 2008. [ http | BibTex ]
  52. Huayang Xie, Mengjie Zhang, Peter Andreae, and Mark Johnson. "An analysis of multi-sampled issue and no-replacement tournament selection". In Proceedings of Genetic and Evolutionary Computation Conference. Atlanta, USA, pp 1323-1330. ACM Press, 2008. [ http | BibTex ]
  53. Kourosh Neshatian, Mengjie Zhang, and Peter Andreae. "Genetic Programming for Feature Ranking in Classification Problems". In Proceedings of the 2008 International Conference on Simulated Evolution And Learning vol. 5361. pp 544-554. Springer, 2008. [ http | BibTex ]
  54. David Kinzett, Mengjie Zhang, and Mark Johnston. "Using Numerical Simplification to Control Bloat in Genetic Programming". In Proceedings of the 2008 International Conference on Simulated Evolution And Learning vol. 5361. pp 493-502. Springer, 2008. [ http | BibTex ]
  55. Grant Patterson, and Mengjie Zhang. "Fitness Functions in Genetic Programming for Classification with Unbalanced Data". In Proceedings of the 20th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence vol. 4830. Gold Coast, Australia, pp 769-775. Springer, 2007. [ http | BibTex ]
  56. Kourosh Neshatian, Mengjie Zhang, and Mark Johnston. "Feature Construction and Dimension Reduction Using Genetic Programming". In Proceedings of the 20th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence vol. 4830. Gold Coast, Australia, pp 160-170. Springer, 2007. [ http | BibTex ]
  57. Mengjie Zhang, and Christopher Fogelberg. "Genetic Programming for Image Recognition: An LGP Approach". In Lecture Notes in Computer Science (IASP 2007) vol. 4448. pp 340-350. Springer, 2007. [ http | BibTex ]
  58. Krzysztof Krawiec, Daniel Howard, and Mengjie Zhang. "Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques". In Proceedings of the 2007 International Conference Frontiers in the Convergence of Bioscience and Information Technologies. Jeju Island, Korea, pp 779-784. IEEE Press, 2007. [ http | BibTex ]
  59. William D. Smart, Peter Andreae, and Mengjie Zhang. "Empirical Analysis of GP Tree-Fragments". In Proceedings of the 2007 European Conference on Genetic Programming vol. 4445. pp 55-67. Springer, 2007. [ http | BibTex ]
  60. Huayang Xie, Mengjie Zhang, and Peter Andreae. "Genetic Programming for New Zealand CPI Inflation Prediction". In IEEE Congress on Evolutionary Computation. Singapore, pp 2538-2545. IEEE Press, 2007. [ http | BibTex ]
  61. Huayang Xie, Mengjie Zhang, and Peter Andreae. "An analysis of depth of crossover points in tree-based Genetic Programming". In IEEE Congress on Evolutionary Computation. Singapore, pp 4561-4568. IEEE Press, 2007. [ http | BibTex ]
  62. Xiaoying Gao, Le Phong Bao Vuong, and Mengjie Zhang. "Automatic Data Record Detection in Web Pages". In Proceedings of the Second International Conference on Knowledge Science, Engineering and Management, Lecture Notes in Computer Science vol. 4798. Melbourne Australia, pp 349-361. Springer, 2007. [ http | BibTex ]
  63. Phillip Wong, and Mengjie Zhang. "Effects of program simplification on simple building blocks in Genetic Programming". In IEEE Congress on Evolutionary Computation. Singapore, pp 1570-1577. IEEE Press, 2007. [ http | BibTex ]
  64. Phillip Lee-Ming Wong, and Mengjie Zhang. "Numerical-node building block analysis of genetic programming with simplification". In Proceedings of Genetic and Evolutionary Computation Conference. pp 1761. ACM Press, 2007. [ http | BibTex ]
  65. Huayang Xie, Mengjie Zhang, and Peter Andreae. "Another investigation on tournament selection: modelling and visualisation". In Proceedings of Genetic and Evolutionary Computation Conference. pp 1468-1475. ACM Press, 2007. [ http | BibTex ]
  66. Huayang Xie, Mengjie Zhang, and Peter Andreae. "An analysis of constructive crossover and selection pressure in genetic programming". In Proceedings of Genetic and Evolutionary Computation Conference. pp 1739-1748. ACM Press, 2007. [ http | BibTex ]
  67. Zhang, Mengjie. "Genetic Algorithms and Neural Networks for Object Detection". In Genetic and Evolutionary Computation for Image Processing and Analysis. pp 415-440. Hindawi Publishing Corporation, 2007. [ BibTex ]
  68. Zhang, Mengjie. "Genetic Programming Techniques for Multi-class Object Recognition". In Genetic and Evolutionary Computation for Image Processing and Analysis. pp 349-370. Hindawi Publishing Corporation, 2007. [ BibTex ]
  69. Huayang Xie, Mengjie Zhang, and Peter Andreae. "Automatic Selection Pressure Control in Genetic Programming". In Proceedings of the sixth International Conference on Intelligent System Design and Applications (1). Beijing, China, pp 435-440. IEEE Press, 2006. [ http | BibTex ]
  70. Mengjie Zhang, Xiaoying Gao, Minh Duc Cao, and Yuejin Ma. "Neural Networks for Scientific Paper Classification". In International Conference on Innovative Computing, Information and Control (2). Beijing, China, pp 51-54. IEEE Press, 2006. [ http | BibTex ]
  71. Mengjie Zhang, and Malcolm Lett. "Localisation Fitness in GP for Object Detection". In Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science vol. 3907. pp 472-483. Springer, 2006. [ http | BibTex ]
  72. Phillip Wong, and Mengjie Zhang. "Algebraic simplification of GP programs during evolution". In Proceedings of Genetic and Evolutionary Computation Conference. pp 927-934. ACM Press, 2006. [ http | BibTex ]
  73. Huayang Xie, Mengjie Zhang, and Peter Andreae. "Genetic Programming for Automatic Stress Detection in Spoken English". In Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science vol. 3907. pp 460-471. Springer, 2006. [ http | BibTex ]
  74. Mengjie Zhang, Xiaoying Gao, Minh Duc Cao, and Yuejin Ma. "Modelling Citation Networks for Improving Scientific Paper Classification Performance". In Proceedings of 2006 Pacific Rim International Conference on Artificial Intelligence vol. 4099. pp 413-422. Springer, 2006. [ http | BibTex ]
  75. Ji Qian, Dongping Qian, and Mengjie Zhang. "A digit recognition system for paper currency identification based on virtual instruments". In Information and Automation, 2006. ICIA 2006. International Conference on. pp 228-233. IEEE, 2006. [ http | BibTex ]
  76. Le, Xiaoying Gao, and Mengjie Zhang. "Data Extraction from Semi-structured Web Pages by Clustering". In Web Intelligence 2006: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence. Hong Kong, pp 374-377. IEEE Press, 2006. [ http | BibTex ]
  77. Mengjie Zhang, Malcolm Lett, and Yuejin Ma. "Refining Fitness Functions and Optimising Training Data in GP for Object Detection". In Proceedings of the 6th International Conference on Simulated Evolution And Learning vol. 4247. pp 601-608. Springer, 2006. [ http | BibTex ]
  78. Mengjie Zhang, Xiaoying Gao, Weijun Lou, and Dongping Qian. "Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition". In Proceedings of 2006 Pacific Rim International Conference on Artificial Intelligence vol. 4099. pp 923-928. Springer, 2006. [ http | BibTex ]
  79. Mengjie Zhang, Phillip Wong, and Dongping Qian. "Online Program Simplification in Genetic Programming". In Proceedings of the 6th International Conference on Simulated Evolution And Learning vol. 4247. pp 592-600. Springer, 2006. [ http | BibTex ]
  80. Huayang Xie, Mengjie Zhang, and Peter Andreae. "Population Clustering in Genetic Programming". In Proceedings of the 2006 European Conference on Genetic Programming vol. 3905. pp 190-201. Springer, 2006. [ http | BibTex ]
  81. Huayang Xie, Mengjie Zhang, and Peter Andreae. "A study of good predecessor programs for reducing fitness evaluation cost in genetic programming". In Evolutionary Computation, 2006. CEC 2006. IEEE Congress on. Vancouver BC, Canada, pp 2661-2668. IEEE Press, 2006. [ http | BibTex ]
  82. Mengjie Zhang, Xiaoying Gao, and Weijun Lou. "Looseness Controlled Crossover in GP for Object Recognition". In Evolutionary Computation, 2006. CEC 2006. IEEE Congress on. pp 4428-4435. IEEE Press, 2006. [ http | BibTex ]
  83. Xiaoying Gao, Mengjie Zhang, and Minh Duc Cao. "TreeWrapper: Automatic Data Extraction Based on Tree Representation". In Proceedings of the 19th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Computer Science vol. 4304. pp 566-576. Springer, 2006. [ http | BibTex ]
  84. Mengjie Zhang, Xiaoying Gao, and Weijun Lou. "GP for Object Classification: Brood Size in Brood Recombination Crossover". In Proceedings of the 19th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Computer Science vol. 4304. pp 274-284. Springer, 2006. [ http | BibTex ]
  85. Xiaoying Gao, and Mengjie Zhang. "Information Extraction from A Whole Web Site". In Proceedings of The fourth International Conference on Active Media Technology, Advances in Intelligent IT: Active Media Technology vol. 138. pp 52-57. IOS Press., 2006. [ http | BibTex ]
  86. Christopher Fogelberg, and Mengjie Zhang. "Linear Genetic Programming for Multi-class Object Classification". In Proceedings of the 18th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Computer Science vol. 3809. pp 369-379. Springer, 2005. [ http | BibTex ]
  87. Guang Chen, and Mengjie Zhang. "Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems". In Proceedings of the 18th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Computer Science vol. 3809. pp 1079-1085. Springer, 2005. [ http | BibTex ]
  88. Mengjie Zhang, Yun Zhang, and William D. Smart. "Program Simplification in Genetic Programming for Object Classification". In KES (3) vol. 3683. pp 988-996. Springer, 2005. [ http | BibTex ]
  89. Zhang, Mengjie. "Mining Small Objects in Large Images Using Neural Networks". In Foundations of Data Mining and knowledge Discovery. pp 277-303. 2005. [ http | BibTex ]
  90. William D. Smart, and Mengjie Zhang. "Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems". In Proceedings of the 2005 European Conference on Genetic Programming vol. 3447. pp 227-239. Springer, 2005. [ http | BibTex ]
  91. Mengjie Zhang, and William D. Smart. "Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition". In Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science vol. 3449. pp 417-427. Springer, 2005. [ http | BibTex ]
  92. Minh Duc Cao, and Xiaoying Gao. "Combining contents and citations for scientific document classification". In AI 2005: Advances in artificial intelligence vol. 3809. pp 143-152. Springer, 2005. [ BibTex ]
  93. Xie, Huayang. "Diversity control in GP with ADF for regression tasks". In AI 2005: Advances in Artificial Intelligence vol. 3809. pp 1253-1257. Springer, 2005. [ BibTex ]
  94. William D. Smart, and Mengjie Zhang. "Probability Based Genetic Programming for Multiclass Object Classification". In Proceedings of 2004 Pacific Rim International Conference on Artificial Intelligence vol. 3157. pp 251-261. Springer, 2004. [ http | BibTex ]
  95. Huayang Xie, Peter Andreae, Mengjie Zhang, and Paul Warren. "Detecting Stress in Spoken English using Decision Trees and Support Vector Machines". In Australian Computer Science Communications (Data mining, CRPIT 32) vol. 26. pp 145-150. 2004. [ http | BibTex ]
  96. William D. Smart, and Mengjie Zhang. "Applying Online Gradient Descent Search to Genetic Programming for Object Recognition". In Australian Computer Science Communications (Data mining, CRPIT 32) vol. 26. pp 133-138. 2004. [ http | BibTex ]
  97. Huayang Xie, Peter Andreae, Mengjie Zhang, and Paul Warren. "Learning Models for English Speech Recognition". In Australian Computer Science Communications vol. 26. pp 323-330. 2004. [ http | BibTex ]
  98. Mengjie Zhang, and William D. Smart. "Genetic Programming with Gradient Descent Search for Multiclass Object Classification". In Proceedings of the 7th European Conference on Genetic Programming vol. 3003. pp 399-408. Springer, 2004. [ http | BibTex ]
  99. Mengjie Zhang, Peter Andreae, and Urvesh Bhowan. "A Two Phase Genetic Programming Approach to Object Detection". In The Eighth Internatioanl Conference on Knowledge Based Intelligent Information and Engineering Systems, Lecture Notes in Artificial Intelligence vol. 3215. pp 224-231. Springer, 2004. [ http | BibTex ]
  100. Mengjie Zhang, and Bunna Ny. "False Alarm Filter in Neural Networks for Multiclass Object Detection". In The Eighth Internatioanl Conference on Knowledge Based Intelligent Information and Engineering Systems -- Invited session of Machine and Computer Vision and Neural Networks, Lecture Notes in Artificial Intelligence vol. 3214. pp 541-548. Springer, 2004. [ http | BibTex ]
  101. Mengjie Zhang, and William D. Smart. "Multiclass Object Classification Using Genetic Programming". In Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science vol. 3005. pp 369-378. Springer, 2004. [ http | BibTex ]
  102. Mengjie Zhang, and Urvesh Bhowan. "Program Size and Pixel Statistics in Genetic Programming for Object Detection". In Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science vol. 3005. pp 379-388. Springer, 2004. [ http | BibTex ]
  103. Will Smart, and Mengjie Zhang. "Tracking Object Positions in Real-time Video using Genetic Programming". In Proceedings of Image and Vision Computing International Conference. pp 113-118. 2004. [ BibTex ]
  104. Yun Zhang, and Mengjie Zhang. "A New Program Structure in Genetic Programming for Object Classification". In Proceeding of Image and Vision Computing NZ International Conference. pp 459. 2004. [ .pdf | BibTex ]
  105. Malcolm Lett, and Mengjie Zhang. "New fitness functions in genetic programming for object detection". In Proceeding of Image and Vision Computing International Conference, Akaroa, New Zealand, Lincoln, Landcare Research. pp 441-446. 2004. [ BibTex ]
  106. Will Smart, and Mengjie Zhang. "Continuously Evolving Programs in Genetic Programming Using Gradient Descent". In Proceedings of 2004 Asia-Pacific Workshop on Genetic Programming. pp 16. 2004. [ BibTex ]
  107. Yun Zhang, and Mengjie Zhang. "A multiple-output program tree structure in genetic programming". In Proceedings of 2004 Asia-Pacific Workshop on Genetic Programming. pp 12. 2004. [ BibTex ]
  108. Mengjie Zhang, Peter Andreae, and Mark Pritchard. "Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection". In Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science vol. 2611. pp 455-466. Springer, 2003. [ http | BibTex ]
  109. Xiaoying Gao, Mengjie Zhang, and Peter Andreae. "Learning Information Extraction Patterns from Tabular Web Pages without Manual Labelling". In Proceedings of the IEEE International Conference on Intelligent Agent Technology. Halifax, Canada, pp 495-498. IEEE Press, 2003. [ http | BibTex ]
  110. Will Smart, and Mengjie Zhang. "Classification strategies for image classification in genetic programming". In Proceedings of image and vision computing conference. Palmerston North, New Zealand, pp 402-407. 2003. [ BibTex ]
  111. Xiaoying Gao, and Mengjie Zhang. "Learning Knowledge Bases for Information Extraction from Multiple Text Based Web Sites". In Proceedings of the Ninth Australian World Wide Web Conference. Gold Coast, Australia, pp 400-411. 2003. [ http | BibTex ]
  112. Mengjie Zhang, Peter Andreae, and Roy Chow. "Pixel Statistics Based Neural Networks for Domain Independent Multiclass Object Detection". In Proceedings of Image and Vision Computing New Zealand. pp 279-284. 2002. [ http | BibTex ]
  113. Mengjie Zhang, and Victor Ciesielski. "Using Back Propagation Algorithm and Genetic Algorithm to Train and Refine Neural Networks for Object Detection". In DEXA vol. 1677. Florence, Italy, pp 626-635. Springer-Verlag, 1999. [ http | BibTex ]
  114. Mengjie Zhang, and Victor Ciesielski. "Genetic Programming for Multiple Class Object Detection". In Australian Joint Conference on Artificial Intelligence vol. 1747. Sydney, Australia, pp 180-192. Springer-Verlag, 1999. [ http | BibTex ]