• Bin Liang

Lecturer, FEIT UTS
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Who am I?

Dr. Bin Liang is a highly focused and analytical researcher with a strong background in data mining, machine learning, and computer vision. He received his Ph.D. degree from Charles Sturt University, Australia in 2016. He is currently a lecturer in University of Technology, Sydney(UTS). Before joining UTS, he was a postdoctoral fellow in Data61 (CSIRO).

He has years of experience in using predictive modelling, data processing, and data mining algorithms to solve business problems. He has conducted research and produced papers at top-tier conferences and journals (TIP, ICDM, CIKM, ICARCV, ECCV, and ICCV). His research interests include data mining, computer vision, patter recognition, machine learning and survival analysis.


Research Interests

  • Survival Analysis
  • Data Mining
  • Computer Vision
  • Pattern Recognition
  • Machine Learning

Curriculum Vite


Awards


Certificates


Competitions

    • 2014 Looking at People Challenge, Track 3: Gesture Recognition
    • Organized by ChaLearn in conjunction with ECCV 2014
    • Team name: CSU-SCM. Rank: 11/17
    • [Webpage] [Results] [Code]

Publications Google Scholar

  1. Specificity and Latent Correlation Learning for Action Recognition Using Synthetic Multi-View Data From Depth Maps
  2. Predicting Water Quality for the Woronora Delivery Network with Sparse Samples
  3. Sequential Deep Learning for Action Recognition with Synthetic Multi-view Data from Depth Maps
  4. Long-Term RNN: Predicting Hazard Function for Proactive Maintenance of Water Mains
  5. PIPELINE FAILURE DATA ANALYTICS AND PREDICTION
    • Data61-CSIRO: Bin Liang, Dilusha Weeraddana, Zhidong Li, Shiyang Lu, Xuhui Fan, Yang Wang, Fang Chen
    • Unitywater: Gagneet Serai, Ivan Beirne, Mitchell Hayward
    • Ozwater'18. Brisbane, Australia, May, 2018.
  6. Face Retrieval in Video Sequences Using a Single Face Sample
  7. Recent Advance of Deep Learning for Sign Language Recognition
  8. Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification
  9. Visual Analytics of Relations of Multi-Attributes in Big Infrastructure Data
  10. Sign Language Recognition using Depth Images
  11. A Survey on Human Action Recognition Using Depth Sensors
  12. Spatio-Temporal Pyramid Cuboid Matching for Action Recognition Using Depth Maps
  13. Multi-modal Gesture Recognition Using Skeletal Joints and Motion Trail Model
  14. 3D Motion Trail Model based Pyramid Histograms of Oriented Gradient for Action Recognition
  15. Three Dimensional Motion Trail Model for Gesture Recognition
  16. Gesture Recognition Using Depth Images
  17. Gesture Recognition from One Example Using Depth Images
  18. Method for face retrieval in video using SVD and improved PCA (Chinese)
  19. Design of Video Retrieval System Using MPEG-7 Descriptors