Welcome to Associate Professor Jian Zhang's Website

Current research focus (2020)

3D Image Content Processing

Research on 3D object segmentation and registration has recently made significant progress with high demands in application giving way to new emerging 3D sensors such as Lidar. Most recently, our research has focused on 1) extracting distinctive representations of 3D point clouds with or without limited manual annotations, 2) learning-based registration by leveraging the advantages of conventional mathematical theories and recent deep learning to accurately align the 3D data, and 3) exploiting the correlation among points or point blocks (also called “contexts”) to improve the performance of point cloud segmentation methods.

Fine-Grained Categorisation for Large-Scale Image Datasets

Learning from large datasets for fine-grained recognition has attracted significant interest in the computer vision research community. Our research focuses on 1) web data supervised learning by building high-quality datasets, 2) feature alignment to reduce high intra-class variance, and 3) high-order feature extraction to enhance the discrimination of low inter-class variance in fine-grained object recognition.

Data analytics

Multi-view data, which are found in many applications, have drawn much attention in recent research. Our research on this field is focused on 1) multiple kernel learning, and multi-view latent space learning, 2) spatial-temporal data analysis, and 3) sparse high-dimensional data analysis. Corresponding matrix-factorisation models are developed for network-wide traffic predictions and theoretical maths models are also developed for related predictive tasks.

Social Multimedia Signal Processing

Combining multiple modalities (images and texts) to accomplish various social multimedia analysis tasks is attracting more attention, inspired by the fact that spreading and collecting multimodal data through the Internet has become the norm. Our recent research on this topic focuses on 1) multimodal fusion via supervised deep learning and 2) multimodal-based neural autoregression models.

PhD Scholarships:

I have two full PhD scholarships to fund high-profile PhD candidates in the following areas:

  • Image processing & pattern recognition
  • 2D amp; 3D computer vision
  • Video/image content analysis
  • Data analytics and multimedia information retrieval
  • Social multimedia signal processing
  • Multimedia and new media Analytics

For international students, in addition to a stipend that covers living expenses, the International Research Scholarship also waives tuition fees. Please contact me for more details.

Grants

1. “Automated, real-time monitoring of bird and flock movement and behaviour”, Industry CRC funded project, $188.000 (2020-2021) Role: Leading Chief Investigators.

2. "Deep Learning Based Fish Species Recognition, Size Estimation, and Freshness Measurement", Industry funded project, $150,000 (2019 - 2022) Role: Leading Chief Investigator.

3. "Trusted Fish Provenance and Quality Tracking System”, Industry funded project, $660,000 (2019-2020) Role: One of the Chief Investigators

4. "Automated Sheep Counting in the Live Export Industry", Industry funded project, $270,000 (2018-2020) Role: Leading Chief Investigator

5. "Data Analytics and Video Analysis for Transport of NSW", Industry CRC funded project, $320,000 (2017-2020) Role: Leading Chief Investigator

6. “Motion re-identification”, Industry funded project, $270,000 (2018-2019) Role: One of the Chief Investigators

7. “Technology Development for 3D Human Body Scanning and Measurement”, Industry funded project, $240,000 (2017-2018) Role: Leading Chief Investigator

8. "Safety video surveillance in a mining environment"; Industry and Australian Government funded Project (Innovation Connection), $185,000 (2015-2017) Role: Leading Chief Investigator

9. “Video based human behaviour analysis in shopping area”, Industry funded project, $350.000 (2016-2018) Role: Leading Chief Investigator

10. "3D image Content Processing", Industry Lab funded project, $70,000 (2013-2016) Role: Leading Chief Investigator

11. “Virtual Clothing fitting on Mobile”, Industry Lab funded project, $90,000 (2013-2014) Role: Leading Chief Investigator

12. “Human detection in local residential area”, Industry Lab funded research project, $70,000 (2012-2013) Role: Leading Chief Investigator

13. “Real Time 3D Non-rigid Surface Tracking Through Microsoft Kinect Platform”, Industry Lab funded research project, $110,000 (2012-2013) Role: Leading Chief Investigator

14. “Robust Automated Video Surveillance & Monitoring in Dynamic Scenes”, National ICT Australia (Data61/NICTA) - Defence Science and Technology Organization (DSTO) joint project award, $59,000, (2008-2011) Role: Leading Chief Investigator

Completed UTS PhD and Master students under my principal supervision since 2012:

  • Dr. Muming Zhao – PhD degree (completed in Feb. 2020). She is now a Post-doc research fellow with Data61/CSIRO.
  • Dr. Lina Li – PhD degree (completed in May 2020). She is now a research fellow with the School of Communication and Information Engineering at Shanghai University, China
  • Ms. Jialiang Shen – MSc degree (completed in Nov. 209). She is now a research engineer with iShare incubator, Sydney, Australia
  • Dr. Junjie Zhang – PhD degree (completed in Sept. 2019). He is now a Post-doc research fellow with the School of Computer Science, University of Adelaide, Australia
  • Dr. Yazhou Yao – PhD degree (completed in May 2019). He is now a Professor at the school of Computer Science and Engineering, Nanjing University of Science and Technology, China.
  • Dr. Xiaoshui Huang – PhD degree (completed in May 2019). He is now a Post-doc research associate with the Faculty of Medicine and Health, University of Sydney, Australia
  • Dr. Hao Cheng – PhD degree (completed in August 2018). He is now with Fairfax Media in the R/D department, Sydney, Australia
  • Dr. Yucheng Wang – PhD degree (completed in August 2017). He is currently working with Baidu, the search engine company in China.
  • Dr. Shangrong Huang – PhD degree (completed in August 2017). He is now a lecturer at the School of Computer Science in Hunan University, China.

Completed PhD students under my my principal supervision at UNSW/Data61::

  • Dr. Worapan Kusakunniran – PhD degree (completed in 2013). He is now an Associate Professor in the Faculty of Information and Communication Technology at Mahidol University, Thailand.
  • Dr. Tuan Hue Thi – PhD degree (completed in 2012). He was a researcher engineer with Canon Information Systems Research Australia (CiSRA) and later joined Placemeter, a US start-up.
  • Dr. Sakrapee (Paul) Paisitkriangkrai – PhD degree (completed in 2012) he was with the Department of Computer Science, University of Adelaide for 5 years. He is currently working with the Australian Taxation Office as a data miner.

Two completed UTS PhD students as a joint supervisor in Sydney University:

  • Dr. Shijun Lu – PhD degree (completed in 2012). He joined the Australian Defence Force as a software engineer in 2013.
  • Dr. Shiyang Lu – PhD degree (completed in 2014). He is currently working with the Commonwealth Bank of Australia as a data scientist.