CV

Education

• Ph.D. of Computer Science, University of Sydney, Australia, 2021
• B.Eng. of Electrical Engineering, University of Sydney & Harbin Institute of Technology, Australia & China, 2016

Work experience

• July 2021 - now: Postdoctoral Research Fellowship
  • Australian E-health Research Center, CSIRO, Australia
  • Duties included: Artificial Intelligence algorithm development for paediatric lung imaging.
• July 2017 - Dec 2020: Teaching Assistant & Tutor
  • School of Computer Science, University of Sydney, Australia
  • Duties included: Teaching, Course content development, Tutor meeting arrangement
• 2017 (3 months): Software Engineer Intern
  • Techcul Co., Ltd., Australia (a start-up company)
  • Duties included: Built Medical AI Informatics platform with Scala, and conducted Unit Testing.
• 2016 (3 months): Software Engineer Intern
  • ZTE Corporation, China (a global company)
  • Duties included: Built Continuous Integration (CI) framework (Gerrit code review server, MySQL database, Nginx server)

Skills

• Deep Learning & Machine Learning: PyTorch, Tensorflow, Sklearn, Skorch, imblearn, Captum, Gudhi
• Data Analysis & Visualization: Python (pandas, numpy, matplotlib, plotly, seaborn), R, MATLAB,
• Programming Language: Python, R, Java, MATLAB, C, Scala, SQL
• Development Tools: git, jupyter, pycharm, eclipse, latex
• Medical Image Analysis: ITK, OpenCV, Pyradiomics, slicer, imageJ, ITK-SNAP, MRI, CT, PET.

Publications

Genetic Associations on Diagnosis of Parkinson’s Disease with Non-Genetic Multimodality Tests Based on Feature Ranking

Xiao C, He D, Xin B, Wang X. Genetic Associations on Diagnosis of Parkinson's Disease with Non-Genetic Multimodality Tests Based on Feature Ranking. In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) 2018. IEEE.

Integrative Clustering and Supervised Feature Selection for Clinical Applications

Xin B, Xu C, Wang L, et al. Integrative Clustering and Supervised Feature Selection for Clinical Applications. 15th International Conference on Control, Automation, Robotics, and Vision (ICARCV) 2018. IEEE

Machine learning models for multiparametric glioma grading with quantitative result interpretations

Wang X, Wang D, Yao Z, Xin B, Wang B, Lan C, Qin Y, Xu S, He D, Liu Y. Machine learning models for multiparametric glioma grading with quantitative result interpretations. Frontiers in Neuroscience. 2018.

Integrative nomogram of CT imaging, clinical, and hematological features for survival prediction of patients with locally advanced non-small cell lung cancer

Wang L, Dong T, Xin B, et al. Integrative nomogram of CT imaging, clinical, and hematological features for survival prediction of patients with locally advanced non-small cell lung cancer. European radiology. 2019.

18F-FDG PET/CT radiomic analysis with machine learning for identifying bone marrow involvement in the patients with suspected relapsed acute leukemia

Li H, Xu C, Xin B, et al. 18F-FDG PET/CT radiomic analysis with machine learning for identifying bone marrow involvement in the patients with suspected relapsed acute leukemia. Theranostics. 2019.

Radiomics-Enhanced Multi-task Neural Network for Non-invasive Glioma Subtyping and Segmentation

Xue Z, Xin B, Wang D, Wang X, Radiomics-Enhanced Multi-task Neural Network for Non-invasive Glioma Subtyping and Segmentation, RNO-AI@MICCAI 2019

Multi-level Topological Analysis Framework for Multifocal Diseases

Xin B, Zhang L, Huang J, et al. Multi-level Topological Analysis Framework for Multifocal Diseases. 16th International Conference on Control, Automation, Robotics, and Vision (ICARCV). 2020. IEEE.

Harmonization Centered Ensemble for Small and Highly Imbalanced Medical Data Classification

Li J, Xin B, Yang Z, et al. Harmonization Centered Ensemble for Small and Highly Imbalanced Medical Data Classification. International Symposium on Biomedical Imaging (ISBI). 2021. IEEE

Correlational Deep Self-supervised Multi-view Clustering

Xin B, Zeng S, Wang X. Correlational Deep Self-supervised Multi-view Clustering. International Joint Conference on Neural Networks (IJCNN). 2021. IEEE.

Interpretation on Deep Multimodal Fusion for Diagnostic Classification

Xin B, Huang J, Zhou Y, Lu J, Wang X. Interpretation on Deep Multimodal Fusion for Diagnostic Classification. International Joint Conference on Neural Networks (IJCNN). 2021. IEEE.

Quantitative Prediction of Microsatellite Instability in Colorectal Cancer With Preoperative PET/CT-Based Radiomics

Li J, Yang Z, Xin B, et al. Quantitative Prediction of Microsatellite Instability in Colorectal Cancer With Preoperative PET/CT-Based Radiomics. 2021.

Multi-parametric MRI Phenotype with Trustworthy Machine Learning for Differentiating CNS Demyelinating Diseases

Huang J, Xin B, Wang X, et al. Multi-parametric MRI Phenotype with Trustworthy Machine Learning for Differentiating CNS Demyelinating Diseases. Journal of Translational Medicine. 2021.

Talks

Integrative Clustering and Supervised Feature Selection for Clinical Applications

November 01, 2018

Oral presentation at International Conference on Control, Automation, Robotics, and Vision (ICARCV), Singapore

Multi-level Topological Analysis Framework for Multifocal Diseases

February 01, 2020

Oral presentation at International Conference on Control, Automation, Robotics, and Vision (ICARCV), Shenzhen, China

Interpretation on Deep Multimodal Fusion for Diagnostic Classification

June 30, 2021

Oral presentation at International Joint Conference on Neural Networks (IJCNN), Virtual event

Correlational Deep Self-supervised Multi-view Clustering

June 30, 2021

Oral presentation at International Joint Conference on Neural Networks (IJCNN), Virtual event

Teaching

INFO3600 Major Development Project [Advanced]

COMP9103 Software Development in Java

COMP5415 Multimedia Design and Authoring

Service and leadership

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