Bin Liang

Orcid: 0000-0002-6605-2167

Affiliations:
  • CSIRO, Data61, Australia
  • Charles Sturt University, School of Computing and Mathematics, Wagga Wagga, NSW, Australia (PhD 2016)


According to our database1, Bin Liang authored at least 20 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Domain Generalization by Learning and Removing Domain-specific Features.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers.
CoRR, 2020

A Data Driven Approach for Leak Detection with Smart Sensors.
Proceedings of the 16th International Conference on Control, 2020

2019
Predicting Water Quality for the Woronora Delivery Network with Sparse Samples.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Optimising Pump Scheduling for Water Distribution Networks.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018
Long-Term RNN: Predicting Hazard Function for Proactive Maintenance of Water Mains.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Sequential Deep Learning for Action Recognition with Synthetic Multi-view Data from Depth Maps.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

2017
Specificity and Latent Correlation Learning for Action Recognition Using Synthetic Multi-View Data From Depth Maps.
IEEE Trans. Image Process., 2017

Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Recent Advances of Deep Learning for Sign Language Recognition.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Face Retrieval in Video Sequences Using a Single Face Sample.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016
Sign language recognition using depth images.
Proceedings of the 14th International Conference on Control, 2016

Visual Analytics of Relations of Multi-Attributes in Big Infrastructure Data.
Proceedings of the 2016 Big Data Visual Analytics, 2016

2015
Spatio-temporal pyramid cuboid matching for action recognition using depth maps.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A Survey on Human Action Recognition Using Depth Sensors.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

2014
3D Motion Trail Model Based Pyramid Histograms of Oriented Gradient for Action Recognition.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Multi-modal Gesture Recognition Using Skeletal Joints and Motion Trail Model.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
Gesture recognition using depth images.
Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

Three Dimensional Motion Trail Model for Gesture Recognition.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013


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