Cao Truong Tran

Please Note

ALERT! This person can no longer be contacted through the School of Engineering and Computer Science at Victoria University of Wellington
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Qualifications

Education

Cao Truong Tran received the B.S. degree from Ha Noi University of Science in 2005, the M.S. degree from Le Qui Don Technical University in 2009 and the PhD degree in computer science from Victoria University of Wellington (VUW), New Zealand, in 2018. He has been doing postdoc at VUW since 06/2018.

Research Interests

Data Mining, Face Recognition, Machine Learning, Evolutionary Computation


Reviewer for International Journals:

IEEE Transactions on Evolutionary Computation

IEEE Transactions on Cybernetics

Pattern Recognition

Knowledge-Based Systems, Elsevier

Applied Soft Computing

Engineering Application of Artificial Intelligence

The Egyptian Informatics Journal

Member of Programme Committees:

IEEE Congress on Evolutionary Computation (2016, 2017, 2018)

IEEE Symposium Series on Computational Intelligence (2016, 2017, 2018)

The Australasian Joint Conference on Artificial Intelligence (2018)

Organised Special Sessions

Publications

Journal articles

  1. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui, An effective and efficient approach to classification with incomplete data, Knowledge-Based Systems, Vol.154, 8/2018, pp 1–16, Elsevier [ISI Journal, IF 4.592, SCI].

  2. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue: Improving performance for classification with incomplete data using wrapper-based feature selection. Evolutionary Intelligence 9(3): 81-94 (2016), Springer [ISI Journal, IF 1.61]

  3. Dương Tử Cường, Trần Cao Trưởng: Sử dụng đặc trưng MFCC và mô hình lượng tử hóa vectơ trong bài toán xác thực người nói tiếng Việt không phụ thuộc vào từ khóa , Tạp chí Khoa học Kỹ thuật- Học viện Kỹ thuật Quân sự, số 130, ISSN:1859-0209, pp.33-42, 10/2009 .

Conference papers

  1. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue: Bagging and Feature Selection for Classification with Incomplete Data. Proceedings of the 20th European Conference on the Applications of Evolutionary Computation (EvoApplication 2017) (1)2017: 471-486

  2. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue: Multiple imputation and genetic programming for classification with incomplete data . Proceedings of the Genetic and Evolutionary Computation Conference 2017 (GECCO2017): 521-528

  3. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue: Genetic programming based feature construction for classification with incomplete data . Proceedings of the Genetic and Evolutionary Computation Conference 2017 (GECCO2017): 1033-1040

  4. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, and Lam Thu Bui. An ensemble of rule-based classifiers for incomplete data . In Intelligent and Evolutionary Systems (IES), 2017 21st Asia Pacific Symposium on, pp. 7-12. IEEE, 2017.

  5. Cao Truong Tran, Mengjie Zhang, Peter Andreae: Directly Evolving Classifiers for Missing Data using Genetic Programming . Proceedings of the IEEE Congress on Evolutionary Computation 2016 (CEC 2016): 5278-5285

  6. Cao Truong Tran, Mengjie Zhang, Peter Andreae: A Genetic Programming-Based Imputation Method for Classification with Missing Data . Proceedings of the 19th European Conference on Genetic Programming (EuroGP 2016), pp. 149-163.

  7. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue: A Wrapper Feature Selection Approach to Classification with Missing Data . Proceedings of the 19th European Conference on the Applications of Evolutionary Computation (EvoApplication 2016), pp. 685-700.

  8. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue: Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions . Proceedings of the Genetic and Evolutionary Computation Conference 2016 (GECCO 2016): 69-70.

  9. Tran, Cao Truong, Mengjie Zhang, Peter Andreae, Bing Xue, and Lam Thu Bui. Multiple imputation and ensemble learning for classification with incomplete data . In Intelligent and Evolutionary Systems , pp. 401-415. Springer, 2017 ( BEST PAPER ).

  10. Cao Truong Tran, Peter Andreae, Mengjie Zhang: Impact of imputation of missing values on Genetic programming based multiple feature construction for classification . Proceedings of the IEEE Congress on Evolutionary Computation 2015 (CEC 2015), pp. 2398-2405.

  11. Cao Truong Tran, Mengjie Zhang, Peter Andreae: Multiple Imputation for Missing Data Using Genetic Programming . Proceedings of the Genetic and Evolutionary Computation Conference 2015 (GECCO 2015), pp. 583-590.

  12. Tran Duc Tang, Tran Cao Truong and Bui Thu Lam,Collision avoidance for 5-axis machine based on multi-objective genetic algorithm, The second Vietnam conference on control and automation, ISBN 978-604-911-517-2, 2013 .

  13. Dương Tử Cường, Trần Cao Trưởng: Ứng dụng mạng nơron thiết kế bộ lọc số đệ qui , tuyển tập công trình hội nghị Khoa học các nhà nghiên cứu trẻ lần thứ 3- Học viện Kỹ thuật Quân sự 2008; pp.74-81

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