Chunhua Shen

Professor Chunhua Shen

Professor

School of Computer Science

Faculty of Engineering, Computer and Mathematical Sciences

Eligible to supervise Masters and PhD, but is currently at capacity - email supervisor to discuss availability.


I am a Professor of Computer Science at The University of Adelaide since 2014. My research mainly focuses on Machine Learning and Computer Vision; the objective is to build a visual system with human-like performance. In particular, I am applying Deep Learning to object detection, text-in-the-wild detection and recognition, semantic pixel labelling, and generic image understanding.

I am a Professor of Computer Science at University of Adelaide, leading the Adelaide Machine Learning Group. I held an ARC Future Fellowship from 2012 to 2016. My research and teaching have been focusing on Statistical Machine Learning and Computer Vision.

These days my team spend most effort on Deep Learning.

I received a PhD degree at University of Adelaide; then worked at the NICTA (formerly National ICT Australia) computer vision program for about six years. From 2006 to 2011, I held an adjunct position at College of Engineering & Computer Science, Australian National University. I moved back to University of Adelaide in 2011.

A list of published papers : List in PDFGoogle scholar, and arXiv.
See http://cs.adelaide.edu.au/~chhshen for more information.

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  • Appointments

    Date Position Institution name
    2014 Professor University of Adelaide
    2011 - 2014 Senior Lecturer/Associate Professor University of Adelaide
    2005 - 2011 Researcher/Senior Researcher National ICT Australia and Australian National University
  • Awards and Achievements

    Date Type Title Institution Name Country Amount
    2012 Fellowship Australian Research Council Future Fellowship Australia
  • Education

    Date Institution name Country Title
    2003 - 2005 University of Adelaide Australia PhD
    Nanjing University China Master
    Nanjing University China Bachelor
    Australian National University Australia MPhil Applied Statistics
  • Research Interests

SA State Government through its Research Consortia Program under the Premier’s Research and Industry Fund

  • 2018-2022, Unlocking complex resources through lean processing, $8.6m

Australian Research Council (ARC) Grants:

  1. 2020-2022 DP, "Deep learning that scales", $390k
  2. 2020-2023, "ARC industrial transformation training centre for integrated operations for complex resources", $5.7m
  3. 2018-2023, "ARC industrial transformation research hub for driving farming productivity and disease prevention", $8.8m
  4. 2019 LIEF, "A world-class machine learning facility for Australia", $700k
  5. 2016 LIEF, "Computational infrastructure for developing deep machine learning models", $250k
  6. 2014-2021 ARC Centre of Excellence, "Australian Centre for Robotic Vision", $20m
  7. 2013 LIEF, "Computational infrastructure for machine learning in computer vision", $210k
  8. 2013 LP, "Semantic change detection through large-scale learning", $380k
  9. 2012 LP, "Scalable classification for massive datasets: randomised algorithms", $510k
  10. 2012-2016 Future Fellowship (step 2), "Continuously learning to see", $650k
  11. 2010 LIEF, "Accelerating Australia's large scale video surveillance research programmes", $280k

Cooperative Research Centre (CRC) Grants:

  • 2017-2019 CRC Project, "Intelligent vision, sensing and data fusion for mining and exploration", $4.6m
    CIs: Prof. C. Shen, Prof. Nigel Cook, Dr. Damith Ranasinghe
  • 2014-2018, Data to Decisions CRC Project Grant, ID: 0001038181, "Large scale image classification", $946k
    CIs: Prof. A. van den Hengel, Prof. C. Shen, Dr A. Dick, Dr A. Eriksson, Dr Q. Shi
  • 2014-2018, Data to Decisions CRC Project Grant, ID: 0001038182, "Exploiting contextual cues in large-scale machine learning", $1.15m
    CIs: Prof. A. van den Hengel, Prof. C. Shen, Dr A. Dick, Dr Q. Shi

Cure Brain Cancer Foundation’s Infrastructure Grant:

  • 2018-2020,  "A national brain-organoid based high-throughput platform for personalised drug and genetic screening in glioblastoma", $400k (with Guillermo Gomez et al.; 1 of the 5 CIs)

Industry Grants:

  • 2020 Adobe gift
    Sole CI
  • 2017-2019 UA170942 "Research and development of computer vision and deep learning technologies for the development of a novel intelligent ultrasound cardiothoracic assessment tool", Contracting Party: an Australian start-up company, $605,628
    CIs: Prof.  A. van den Hengel, Prof. C. Shen
  • 2017-2018 UA171194 "Research on deep learning for computational photography", Contracting Party: a leading mobile phone manufacturer, US$70k
    Sole CI
  • 2018-2020 UA182751 "Research on basic algorithms in computational photography",  Contracting Party: a leading mobile phone manufacturer, $863,038
    Sole CI
  • 2018-2019 UA183176 "Scene understanding via multi-task learning", $246,000
    Sole CI

Miscellaneous:

  • 2019,  "Development of new hydrogels to selectively extract and kill invasive glioblastoma cells from normal brain tissue", Partner Investigator (with Guillermo Gomez et al.)

Grant information on Research Data

Check http://cs.adelaide.edu.au/~chhshen/teaching.html for updated information

  Mining Big Data Course code: COMPSCI 4403
  Introduction to Statistical Machine Learning Course code: COMPSCI 4401/7401
  Algorithm and Data Structure Analysis (Small-Group Discovery Experience) Course code: COMPSCI 2201
  Operating Systems Course code: COMPSCI 3004NA/7064NA
  Computer Graphics Course code: COMPSCI 3014NA
  Scientific Computing (Small-Group Discovery Experience) Course code: COMPSCI 1012
  Introduction to Statistical Machine Learning Course code: COMPSCI 7012
  Master of Computing and Innovation Project Course code: COMPSCI 7098
  Foundations of Computer Science Course code: COMPSCI 2202
  Computer Vision Course code: COMPSCI 4022/7022

  

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  • Current Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2020 Principal Supervisor Computer vision, object detection Master of Philosophy Master Full Time Mr Weian Mao
    2020 Principal Supervisor Deep learning for high-performance instance recognition Doctor of Philosophy Doctorate Full Time Mr Xinlong Wang
    2020 Principal Supervisor High performance deep learning based object detection Master of Philosophy Master Full Time Mr Bowen Zhang
    2020 Principal Supervisor Total Scene Understanding Using Deep Learning Doctor of Philosophy Doctorate Full Time Mr Yunzhi Zhuge
    2020 Principal Supervisor Scalable deep learning for scene understanding Doctor of Philosophy Doctorate Full Time Mr James Paul Bockman
    2020 Principal Supervisor Text Visual Question Answering Doctor of Philosophy Doctorate Full Time Mr Xinyu Wang
    2019 Co-Supervisor Computer Vision Geometry Deep Learning Doctor of Philosophy Doctorate Full Time Mr Jiawang Bian
    2019 Principal Supervisor Semantic 3D Scene Reconstruction Doctor of Philosophy Doctorate Full Time Mr Libo Sun
    2018 Principal Supervisor High Performance Per Pixel Prediction Using Deep Learning Doctor of Philosophy Doctorate Full Time Ms Yifan Liu
    2018 Principal Supervisor Instance Level Object Segmentation in Video using Deep Learning Doctor of Philosophy Doctorate Full Time Ms Yutong Dai
    2018 Principal Supervisor Multi-modality Data Analysis Using Deep Learning Doctor of Philosophy Doctorate Full Time Mr Hu Wang
    2018 Principal Supervisor Semantic Understanding Based on 3D Data Doctor of Philosophy Doctorate Full Time Mr Wei Yin
    2018 Principal Supervisor Towards Real-World Application: Fast High-performance Semantic Segmentation Doctor of Philosophy Doctorate Full Time Mr Zhi Tian
    2017 Co-Supervisor Semantic Image Segmentation and Other Dense Per-Pixel Tasks: Practical Approaches Doctor of Philosophy Doctorate Full Time Mr Vladimir Nekrasov
    2017 Principal Supervisor Intelligent Dialogue Agent for Software Engineering Doctor of Philosophy Doctorate Full Time Mr Hao Chen
    2017 Principal Supervisor Text detection and Recognition in the wild Doctor of Philosophy Doctorate Full Time Mr Tong He
    2016 Co-Supervisor Long Term Semantic Scene Understanding and Slam Doctor of Philosophy Doctorate Full Time Mr Ming Cai
  • Past Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2018 - 2019 Principal Supervisor High-performance Object Detection and Tracking using Deep Learning Master of Philosophy Master Full Time Mr Xinyu Wang
    2016 - 2017 Principal Supervisor Deep Learning for Fine-Gained Visual Recognition Master of Philosophy Master Full Time Mr Teng Li
    2015 - 2017 Principal Supervisor Sketch Image Recognition Using Deep Features Master of Philosophy Master Full Time Miss Yuchao Jiang
    2015 - 2019 Principal Supervisor Context Learning and Weakly Supervised Learning for Semantic Segmentation Doctor of Philosophy Doctorate Full Time Mr Tong Shen
    2014 - 2018 Principal Supervisor Text Detection and Recognition in Natural Scene Images Doctor of Philosophy Doctorate Full Time Mrs Hui Li
    2014 - 2018 Principal Supervisor Towards Efficient Deep Neural Networks with Applications to Visual Recognition Doctor of Philosophy Doctorate Full Time Dr Bohan Zhuang
    2014 - 2017 Principal Supervisor Deep Visual Representation for Weakly-supervised and Structured Output Tasks Doctor of Philosophy Doctorate Full Time Mr Yao Li
    2014 - 2016 Principal Supervisor Deep Learning for Multi-label Scene Classification Master of Philosophy Master Full Time Mr Junjie Zhang
    2013 - 2018 Principal Supervisor Mid-level Representations for Action Recognition and Zero-shot Learning Doctor of Philosophy Doctorate Full Time Mr Ruizhi Qiao
    2013 - 2017 Principal Supervisor Dynamic Scene Understanding with Applications to Traffic Monitoring Doctor of Philosophy Doctorate Full Time Mr Qichang Hu
    2013 - 2018 Principal Supervisor Deep Learning Based RGB-D Vision Tasks Doctor of Philosophy Doctorate Full Time Mr Yuanzhouhan Cao
    2012 - 2014 Principal Supervisor Hypergraph Modeling for Saliency Detection and Beyond Master of Engineering Science Master Full Time Mr Yao Li
    2012 - 2014 Principal Supervisor Structured Output Prediction and Binary Code Learning in Computer Vision Doctor of Philosophy Doctorate Full Time Dr Guosheng Lin
    2011 - 2015 Principal Supervisor Learning Structured Prediction Models in Computer Vision Doctor of Philosophy Doctorate Full Time Miss Fayao Liu
  • Position: Professor
  • Phone: 83136745
  • Email: chunhua.shen@adelaide.edu.au
  • Fax: 8313 4366
  • Campus: North Terrace
  • Building: Ingkarni Wardli, floor 5
  • Org Unit: School of Computer Science

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