Shuchao Pang

Research Associate

Currently, Dr. Shuchao Pang is working on medical data analysis and intelligent healthcare at the University of New South Wales and Ingham Institute, as a member of Prof. Arcot Sowmya and A. Prof. Lois Holloway teams. If you're interested in relevant topics, please contact him: shuchao.pang@unsw.edu.au

  • Oct.2020 - now, Research Associate, at the School of Computer Science and Engineering, University of New South Wales, and at Medical Physics, Ingham Institute for Applied Medical Research, Sydney, Australia.
  • Feb.2020 - Oct.2020, Research Assistant, at the Department of Computing, Macquarie University, Sydney, Australia.

In June 2020, Dr. Shuchao Pang obtained his PhD degree from Macquarie University on the topic of medical image processing and deep neural networks, supervised by Prof. Mehmet A. Orgun and Prof. Yan Wang. Before that, Dr. Shuchao Pang studied his joint Master & PhD program at Jilin University, Changchun, China. During his research study, Dr. Shuchao Pang was also awarded several excellent scholarships for studying abroad, including:

  • Jul.2015 - Jan.2016, visiting research student, at the Machine Learning Group, Artificial Intelligence Center at Gijon, University of Oviedo, Gijon, Asturias, Spain.
  • Oct.2013 - Feb.2014, joint training research student, at the Department of Computer Photonics and Videomatics, Saint-Petersburg National Research University of Information Technologies, Mechanics and Optics (also called ITMO University), Saint-Petersburg, Russia.
Journal articles
add
Pang S; Du A; Yu Z; Orgun MA, 2021, '2D medical image segmentation via learning multi-scale contextual dependencies', Methods, http://dx.doi.org/10.1016/j.ymeth.2021.05.015
2021
Pang S; Du A; Orgun MA; Wang Y; Yu Z, 2021, 'Tumor attention networks: Better feature selection, better tumor segmentation', Neural Networks, vol. 140, pp. 203 - 222, http://dx.doi.org/10.1016/j.neunet.2021.03.006
2021
Pang S; Du A; Orgun MA; Yu Z; Wang Y; Wang Y; Liu G, 2020, 'CTumorGAN: a unified framework for automatic computed tomography tumor segmentation', European Journal of Nuclear Medicine and Molecular Imaging, vol. 47, pp. 2248 - 2268, http://dx.doi.org/10.1007/s00259-020-04781-3
2020
Pang S; Du A; Orgun MA; Chen H, 2020, 'Weakly supervised learning for image keypoint matching using graph convolutional networks', Knowledge-Based Systems, vol. 197, http://dx.doi.org/10.1016/j.knosys.2020.105871
2020
Pang S; Du A; Orgun MA; Yu Z, 2019, 'A novel fused convolutional neural network for biomedical image classification', Medical and Biological Engineering and Computing, vol. 57, pp. 107 - 121, http://dx.doi.org/10.1007/s11517-018-1819-y
2019
Pang S; del Coz JJ; Yu Z; Luaces O; Díez J, 2018, 'Deep Learning and Preference Learning for Object Tracking: A Combined Approach', Neural Processing Letters, vol. 47, pp. 859 - 876, http://dx.doi.org/10.1007/s11063-017-9720-5
2018
Pang S; Orgun MA; Yu Z, 2018, 'A novel biomedical image indexing and retrieval system via deep preference learning', Computer Methods and Programs in Biomedicine, vol. 158, pp. 53 - 69, http://dx.doi.org/10.1016/j.cmpb.2018.02.003
2018
Pang S; del Coz JJ; Yu Z; Luaces O; Díez J, 2017, 'Deep learning to frame objects for visual target tracking', Engineering Applications of Artificial Intelligence, vol. 65, pp. 406 - 420, http://dx.doi.org/10.1016/j.engappai.2017.08.010
2017
Pang S; Yu Z; Orgun MA, 2017, 'A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images', Computer Methods and Programs in Biomedicine, vol. 140, pp. 283 - 293, http://dx.doi.org/10.1016/j.cmpb.2016.12.019
2017
Zhang H; Yu Z; Yu X; Pang S; Zhang J, 2016, 'One novel face recognition approach using histograms of oriented gradients deriving from multi-layer pyramid feature blocks', ICIC Express Letters, Part B: Applications, vol. 7, pp. 2189 - 2196
2016
Pang SC; Du A; Yu ZZ, 2015, 'Robust multi-object tracking using deep learning framework', Journal of Optical Technology (A Translation of Opticheskii Zhurnal), vol. 82, pp. 516 - 527, http://dx.doi.org/10.1364/JOT.82.000516
2015
Pang SC; Yu ZZ, 2015, 'Face recognition: A novel deep learning approach', Journal of Optical Technology (A Translation of Opticheskii Zhurnal), vol. 82, pp. 237 - 245, http://dx.doi.org/10.1364/JOT.82.000237
2015
Zheng H; Wu C; Liu J; Pang S; Li L; Yu Z, 2014, 'Extensional neighborhood preserving embedding', Journal of Information and Computational Science, vol. 11, pp. 1571 - 1578, http://dx.doi.org/10.12733/jics20103132
2014
Yu ZZ; Liu YH; Li B; Pang SC; Jia CC, 2014, 'Incremental graph regulated nonnegative matrix factorization for face recognition', Journal of Applied Mathematics, vol. 2014, http://dx.doi.org/10.1155/2014/928051
2014
Wu C; Pang S; Zheng H; Liu J; Jia C; Yu Z, 2013, 'Graph reconstructed tensor subspace analysis', Journal of Computational Information Systems, vol. 9, pp. 5771 - 5777, http://dx.doi.org/10.12733/jcis6590
2013
Liu Y; Jia C; Li B; Pang S; Yu Z, 2013, 'A modified subclass discriminant non-negative matrix factorization with projected gradient descent', Journal of Computational Information Systems, vol. 9, pp. 4609 - 4616, http://dx.doi.org/10.12733/jcis6242
2013
Liu J; Zheng H; Pang S; Wu C; Jia C; Yu Z, 2013, 'Extended marginal fisher analysis based on difference criterion', Journal of Information and Computational Science, vol. 10, pp. 2051 - 2058, http://dx.doi.org/10.12733/jics20101738
2013
Pang S; Wu C; Liu J; Zheng H; Zhang J; Jia C; Yu Z, 2013, 'Robust object tracking based on ORB features and particle filter', Journal of Information and Computational Science, vol. 10, pp. 1641 - 1649, http://dx.doi.org/10.12733/jics20101660
2013
Wu C; Zheng H; Pang S; Liu J; Jia C; Yu Z, 2013, 'Semi-supervised discriminant analysis with tensor representation', Journal of Information and Computational Science, vol. 10, pp. 1367 - 1376, http://dx.doi.org/10.12733/jics20101639
2013
Zheng H; Liu J; Wu C; Pang S; Pang E; Jia C; Yu Z, 2013, 'A new construction method of neighbor graph for locality preserving projections', Journal of Information and Computational Science, vol. 10, pp. 1357 - 1365, http://dx.doi.org/10.12733/jics20101601
2013
Liu Y; Jia C; Li B; Pang S; Yu Z, 2013, 'Graph regularized projective non-negative matrix factorization for face recognition', Journal of Computational Information Systems, vol. 9, pp. 2047 - 2055
2013
Liu R; Jia C; Pang E; Qu M; Pang S; Yu Z, 2013, 'Global and local information based spherical marginal fisher analysis for face recognition', Journal of Information and Computational Science, vol. 10, pp. 1025 - 1034, http://dx.doi.org/10.12733/jics20101504
2013
Pang S; Du A; Orgun MA; Wang Y; Sheng Q; Wang S; Huang X; Yu Z, 'Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation', , http://arxiv.org/abs/2005.03924v1
Conference Papers
add
Du A; Pang S; Huang X; Zhang J; Wu Q, 2020, 'Exploring Long-Short-Term Context for Point Cloud Semantic Segmentation', in Proceedings - International Conference on Image Processing, ICIP, pp. 2755 - 2759, http://dx.doi.org/10.1109/ICIP40778.2020.9191333
2020
Pang S; Du A; Yu Z; Orgun MA, 2020, 'Correlation Matters: Multi-scale Fine-Grained Contextual Information Extraction for Hepatic Tumor Segmentation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 462 - 474, http://dx.doi.org/10.1007/978-3-030-47426-3_36
2020
Yu Z; Pang S; Du A; Orgun MA; Wang Y; Lin H, 2020, 'Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies', in Progress in Biomedical Optics and Imaging - Proceedings of SPIE, SPIE, presented at Image Processing, 15 February 2020 - 20 February 2020, http://dx.doi.org/10.1117/12.2550511
2020
Pang S; Orgun MA; Du A; Yu Z, 2017, 'Leveraging deep preference learning for indexing and retrieval of biomedical images', in International IEEE/EMBS Conference on Neural Engineering, NER, pp. 126 - 129, http://dx.doi.org/10.1109/NER.2017.8008308
2017
Potapov A; Batishcheva V; Pang S, 2014, 'Universalization of narrow methods: Case study on autoencoders', in CCIS 2014 - Proceedings of 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems, pp. 302 - 304, http://dx.doi.org/10.1109/CCIS.2014.7175747
2014
Book Chapters
add
Pang S; Du A; He X; Díez J; Orgun MA, 2019, 'Fast and accurate lung tumor spotting and segmentation for boundary delineation on CT slices in a coarse-to-fine framework', in , pp. 589 - 597, http://dx.doi.org/10.1007/978-3-030-36808-1_64
2019
Pang S; del Coz JJ; Yu Z; Luaces O; Díez J, 2016, 'Combining deep learning and preference learning for object tracking', in , pp. 70 - 77, http://dx.doi.org/10.1007/978-3-319-46675-0_8
2016

Several awards are listed as follows:

  • in 2020, Awarded Vice-Chancellor Commendation Award, Macquarie University
  • in 2017, Awarded the International Cotutelle Macquarie University Research Excellence Scholarship, Macquarie University
  • in 2015, Awarded the CSC Scholarship, China
  • in 2015, Awarded the PhD scholarship supported by the Swap-and-Transfer project of European Union
  • in 2013, Awarded International Research Scholarship supported by the project of “Shanghai Cooperation Organization University”, as the outstanding graduate.