Bin Liang

According to our database, Bin Liang authored at least 33 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Transferring Physical Priors into Remote Sensing Segmentation via Large Language Models.

Yuxi Lu, Kunqi Li, Zhidong Li, Xiaohan Su, Biao Wu, Chenya Huang, Bin Liang

CoRR, March, 2026

Can GNNs Learn Link Heuristics? a Concise Review and Evaluation of Link Prediction Methods.

Shuming Liang, Yu Ding, Zhidong Li, Bin Liang, Siqi Zhang, Yang Wang, Fang Chen

IEEE Trans. Big Data, February, 2026

UAV-based remote sensing for rangeland monitoring, a generalized and transparent workflow with an Australian lead.

Toufique Ahmed Soomro, Allister Clarke, Jonathan Medway, Bin Liang, Stephen Summerhayes, Juan Pablo Guerschman, Robert de Ligt, Hugh Armitage, Clinton Ayers

Ecol. Informatics, 2026

2025

Remote Sensing-Oriented World Model.

Yuxi Lu, Biao Wu, Zhidong Li, Kunqi Li, Chenya Huang, Huacan Wang, Qizhen Lan, Ronghao Chen, Ling Chen, Bin Liang

CoRR, September, 2025

A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping.

Wenfeng Jia, Bin Liang, Yuxi Liu, Muhammad Arif Khan, Lihong Zheng

CoRR, June, 2025

An Adaptive Multi-Agent Framework for Semantic-Aware Process Mining.

Xiaohan Su, Bin Liang, Zhidong Li, Yifei Dong, Justin Wang, Fang Chen

Comput., 2025

A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping.

Wenfeng Jia, Bin Liang, Yuxi Lu, Muhammad Arif Khan, Lihong Zheng

Proceedings of the Data Science: Foundations and Applications, 2025

Multimodal Machine Learning for Real Estate Appraisal: A Comprehensive Survey.

Chenya Huang, Bin Liang, Zhidong Li, Fang Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Spatio-Temporal Residual Masked Autoencoder for Urban Rent Estimation.

Chenya Huang, Bin Liang, Zhidong Li, Justin Wang, Fang Chen

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

BARE: Boundary-Aware with Resolution Enhancement for Tree Crown Delineation.

Attavit Wilaiwongsakul, Bin Liang, Wenfeng Jia, Bryan Zheng, Fang Chen

Proceedings of the Data Science and Machine Learning, 2025

Synergistic MARL: Unifying Physics-Informed, Meta Learning, and Hybrid Learning to Outperform Communication-Based Coordination.

YiYao Zhang, Yifei Dong, Kun Yu, Wei Liu, Jianlong Zhou, Bin Liang, Fang Chen

Proceedings of the AI 2025: Advances in Artificial Intelligence, 2025

HOTA: Hierarchical Overlap-Tiling Aggregation for Large-Area 3D Flood Mapping.

Wenfeng Jia, Bin Liang, Yuxi Lu, Attavit Wilaiwongsakul, Muhammad Arif Khan, Lihong Zheng

Proceedings of the Pattern Recognition and Computer Vision, 2025

2024

VAGNN: Advancing the Generalization of Graph Neural Networks.

Shuming Liang, Yu Ding, Bin Liang, Zhidong Li, Siqi Zhang, Yang Wang, Fang Chen

Proceedings of the Neural Information Processing - 31st International Conference, 2024

2022

Domain Generalization by Learning and Removing Domain-specific Features.

Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang, Fang Chen

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.

Shuming Liang, Zhidong Li, Bin Liang, Yu Ding, Yang Wang, Fang Chen

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.

Dilusha Weeraddana, Bin Liang, Zhidong Li, Yang Wang, Fang Chen, Livia Bonazzi, Dean Phillips, Nitin Saxena

CoRR, 2020

A Data Driven Approach for Leak Detection with Smart Sensors.

Bin Liang, Sunny Verma, Jie Xu, Shuming Liang, Zhidong Li, Yang Wang, Fang Chen

Proceedings of the 16th International Conference on Control, 2020

2019

Predicting Water Quality for the Woronora Delivery Network with Sparse Samples.

Bin Liang, Dammika Vitanage, Corinna Doolan, Zhidong Li, Ronnie Taib, George Mathews, Yang Wang, Shiyang Lu, Fang Chen, Tin Hua, Andrew Peters

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Optimising Pump Scheduling for Water Distribution Networks.

Yanchang Zhao, Bin Liang, Yang Wang, Shaobo Dang, Ronnie Taib, Fang Chen, Tin Hua, Dammika Vitanage, Corinna Doolan

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018

Long-Term RNN: Predicting Hazard Function for Proactive Maintenance of Water Mains.

Bin Liang, Zhidong Li, Yang Wang, Fang Chen

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.

Bin Liang, Lihong Zheng, Xinying Li

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.

Bin Liang, Lihong Zheng

IEEE Trans. Image Process., 2017

Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification.

Jianlong Zhou, Zelin Li, Weiming Zhi, Bin Liang, Daniel Aaron Moses, Laughlin Dawes

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Recent Advances of Deep Learning for Sign Language Recognition.

Lihong Zheng, Bin Liang, Ailian Jiang

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Face Retrieval in Video Sequences Using a Single Face Sample.

Bin Liang, Lihong Zheng, Jiwan Han

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016

Sign language recognition using depth images.

Lihong Zheng, Bin Liang

Proceedings of the 14th International Conference on Control, 2016

Visual Analytics of Relations of Multi-Attributes in Big Infrastructure Data.

Jianlong Zhou, Zelin Li, Zongjian Zhang, Bin Liang, Fang Chen

Proceedings of the 2016 Big Data Visual Analytics, 2016

2015

Spatio-temporal pyramid cuboid matching for action recognition using depth maps.

Bin Liang, Lihong Zheng

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A Survey on Human Action Recognition Using Depth Sensors.

Bin Liang, Lihong Zheng

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.

Bin Liang, Lihong Zheng

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Multi-modal Gesture Recognition Using Skeletal Joints and Motion Trail Model.

Bin Liang, Lihong Zheng

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

Gesture recognition using depth images.

Bin Liang

Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

Three Dimensional Motion Trail Model for Gesture Recognition.

Bin Liang, Lihong Zheng

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013