Selected Publications

Selected Subset of Publications, Full list of 100+ publications from Google Scholar – In the last decade, nearly all papers's first author is a University of Technology Sydney (UTS) Ph.D. student whom is either principally-supervised by me, or I was the primary technical supervisor at the time of the publication.

You can download them by clicking the paper title

Selected Journals

• Jiang S., Li K, Xu, R.Y.D., (2020), Magnitude Bounded Matrix Factorisation for Recommender Systems (preprint), accepted May 2020 IEEE Transactions on Knowledge and Data Engineering, IF 3.857

• Li, C., Xie, H., Fan, X, Xu, R. Y. D., Van Huffel, S., Mengersen K., (2020), Kernelized Sparse Bayesian Matrix Factorization (preprint), accepted Feb 2020 IEEE Transactions on Neural Networks and Learning Systems, IF 11.683

• Li, Y., Li, K., Xu, R. Y. D., Wang, X., (2020), Exploring Temporal Consistency for Human Pose Estimation in Videos, accepted Jan 2020, Pattern Recognition, IF 5.898

• Li M., Xu, R. Y. D., Xin, J., Zhang, K., Jing, J., (2020), Fast non-rigid points registration with cluster correspondences projection, 170, 107425, Signal Processing, IF 4.086

• Li, C., Xie, H., Fan, Xu, R.Y.D., Van Huffel, S., Mengersen K., (2019), Image denoising based on nonlocal Bayesian singular value thresholding and Stein's unbiased risk estimator, 28 (10), pp. 4899 – 4911 IEEE Transactions on Image Processing, IF 6.79

• Jiang S., Li K, Xu, R.Y.D., (2019), Relative Pairwise Relationship Constrained Non-negative Matrix Factorisation, Vol. 31, No. 8, pp.1595 – 1609 IEEE Transactions on Knowledge and Data Engineering, IF 3.857

• Bargi, A., Xu, R.Y.D., & Piccardi, M., (2018), AdOn HDP-HMM: An Adaptive Online Model for Segmentation and Classification of Sequential Data, 29 (9), pp. 3953 - 3968 IEEE Transactions on Neural Networks and Learning Systems IF 11.683

• Xuan, J., Lu, J., Zhang, G., Xu, R.Y.D., & Luo, X., (2017) Doubly Nonparametric Sparse Nonnegative Matrix Factorization based on Dependent Indian Buffet Processes, Vol 29, NO. 5 pp. 1835 - 1849 IEEE Transactions on Neural Networks and Learning Systems IF 11.683

• Li, J., Deng, C., Xu, R.Y.D., Tao, D., & Zhao, B., (2017), Robust Object Tracking with Discrete Graph Based Multiple Experts, Vol 26, Issue 6, pp. 2736 - 2750, IEEE Transactions On Image Processing, IF 6.79

• Xuan, J., Lu, J., Zhang, G., Xu, R.Y.D., Luo, X., (2017), Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes, Vol.29, Issue 7, pp. 1357 – 1369 IEEE Transactions on Knowledge and Data Engineering IF 3.857

• Fan, X., Xu, R.Y.D., Cao, L., Song. Y., (2017), Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network. Vol 47(3), pp. 589 – 599 IEEE Transaction on Cybernetics, IF 10.387

• Xuan, J., Lu, J., Zhang, G., Xu, R.Y.D., Luo, X., (2017), A Bayesian Nonparametric Model for Multi-Label Learning, Volume 106, Issue 11, pp 1787–1815 Machine Learning IF 2.809

• Li, J., Zhao, B., Deng, C., & Xu, R.Y.D., (2016), Time Varying Metric Learning for visual tracking, vol. 80, pp. 157-164. Pattern Recognition Letters, IF 2.810

• Qiao, M., Xu, R.Y.D., Bian, W. & Tao, D. (2016), Fast sampling for time-varying Determinantal Point Processes, vol. 11, no. 1. ACM Transactions on Knowledge Discovery from Data, IF 1.000

• Kemp, M., Xu, R.Y.D., (2015), Geometrically-constrained balloon fitting for multiple connected ellipses, vol. 48, no. 7, pp. 2198-2208. Pattern Recognition, IF 5.898

• Qiao, M., Bian, W., Xu, R.Y.D., Tao, D., (2015), Diversified Hidden Markov Models for Sequential Labeling, vol. 27, no. 11, pp. 2947-2960. IEEE Transactions on Knowledge and Data Engineering, IF 3.857

• Fan, X., Cao, L., Xu, R.Y.D., (2015), Dynamic Infinite Mixed-Membership Stochastic Blockmodel, Vol. 26, Issue 9, pp. 2072 - 2085, IEEE Transactions on Neural Networks and Learning Systems IF 11.683

• Zare Borzeshi, E., Concha, O.P., Xu, R.Y.D., & Piccardi, M. (2013), Joint Action Segmentation and Classification by an Extended Hidden Markov Model, vol. 20, no. 12, pp. 1207-1210. IEEE Signal Processing Letters, IF 3.268

• Xu, R.Y.D., & Kemp, M. (2010), Fitting Multiple Connected Ellipses To An Image Silhouette Hierarchically, vol. 19, no. 7, pp. 1673-1682. IEEE Transactions On Image Processing, IF 6.79

• Xu, R.Y.D., & Kemp, M. (2010), An Iterative Approach for Fitting Multiple Connected Ellipse Structure to Silhouette, vol. 31, no. 13, pp. 1860-1867. Pattern Recognition Letters, IF 2.810

[Permanent arXiv]

• Xu, R.Y.D., Caron, F., Doucet., A (2016), Bayesian nonparametric image segmentation using a generalized Swendsen-Wang algorithm, arXiv:1602.03048

Selected Conferences papers

• Huang, W., Du, W., Xu, R. Y. D., (2021 to appear), On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization (preprint), International Joint Conference on Artificial Intelligence, (IJCAI 2021)

• Markos, C., Yu, J, Xu, R. Y. D., (2021 to appear), Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning (preprint), Association for the Advancement of Artificial Intelligence (AAAI 2021)

• Huang, C., Jiang, S., Li, Y., Zhang, Z., Traish, J., Deng, C., Ferguson, S., Xu, R. Y. D., End-to-end Dynamic Matching Network for Multi-view Multi-person 3D Pose Estimation, European Conference on Computer Vision (ECCV), 477-493 (ECCV 2020)

• Huang, W., Xu, R. Y. D., Du, W., Zeng Y., and Zhao Y., (2020), Mean field theory for deep dropout networks: digging up gradient backpropagation deeply (preprint), the 24th European Conference on Artificial Intelligence (ECAI 2020)

• Li, Y., Li., K, Jiang., S, Zhang., Z Y, Huang., C Z T and Xu, R. Y. D., (2020), Geometry Self-Supervised method for 3D Human Pose, Association for the Advancement of Artificial Intelligence (AAAI 2020)

• Huang, W., Xu, R.Y.D., Oppermann, I., (2019), Realistic Image Generation using Region-phrase Attention, Asian Conference eon Machine Learning, PMLR 101:284-299, 2019, (ACML 2019)

• Huang, W., Xu, R.Y.D., Oppermann, I., (2019), Efficient Diversified Mini-Batch Selection using Variable High-layer Features, Asian Conference on Machine Learning, PMLR 101:300-315, 2019, (ACML 2019)

• Fan., X, Xu., R. Y. D., Cao., L (2016), Copula Mixed-Membership Stochastic Blockmodel, International Joint Conference on Artificial Intelligence, (IJCAI 2016)

• Li, Q, Bian., W, Xu., R. Y. D., You., J and Tao., D (2016), Random Mixed Field Model for Mixed-Attribute Data Restoration, Association for the Advancement of Artificial Intelligence (AAAI 2016)

• Xuan, J., Lu, J., Zhang, G., Xu, R.Y.D., Luo, X.,(2015), Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process, IEEE International Conference on Data Mining (ICDM 2015)

• Li, M., Xu, R. Y.D., & He, X.J. 2015, Face hallucination based on Nonparametric Bayesian learning, IEEE International Conference on Image Processing, (ICIP 2015) Quebec