Biography
Leon obtained his Ph.D. in Machine Learning and Data Science from Applied Artificial Intelligence Institute, at Deakin University, in 2020. His primary interest includes theoretical and applied Machine Learning with a current focus on Machine Learning, Optimization, Virtual Reality and Digital Transformation.
Read more on Leon's profileResearch interests
Machine Learning
Cloud Computing
Digital Transformation
Optimization
Teaching interests
Data Science
Cloud Computing
Cybersecurity
Awards
School of IT award for Sessional Staff Excellence 2023
Publications
Sparse Spectrum Gaussian Process for Bayesian Optimization
A Yang, C Li, S Rana, S Gupta, S Venkatesh
(2021), Vol. 12713, pp. 257-268, PAKDD 2021 : Advances in Knowledge Discovery and Data Mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I, Virtual Event, E1
Efficient Bayesian optimisation using derivative meta-model
A Yang, C Li, S Rana, S Gupta, S Venkatesh
(2018), Vol. 11013, pp. 256-264, PRICAI 2018: Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, E1
Sparse approximation for Gaussian process with derivative observations
A Yang, C Li, S Rana, S Gupta, S Venkatesh
(2018), Vol. 11320, pp. 507-518, AI 2018: Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, Wellington, N.Z., E1
Enhanced Twitter sentiment analysis by using feature selection and combination
A Yang, J Zhang, L Pan, Y Xiang
(2015), pp. 52-57, SOCIALSEC 2015: Proceedings of the International Symposium on Security and Privacy in Social Networks and Big Data, Hangzhou, China, E1
Funded Projects at Deakin
No Funded Projects at Deakin found
Supervisions
No completed student supervisions to report