Bin Liang

36 papers A* 2A 3B 3C 2Misc 6Journal 11Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Can GNNs Learn Link Heuristics? a Concise Review and Evaluation of Link Prediction Methods.
IEEE Trans. Big Data
Shuming Liang, Yu Ding, Zhidong Li, Bin Liang, Siqi Zhang, Yang Wang, Fang Chen
2026 J jnl
Transferring Physical Priors into Remote Sensing Segmentation via Large Language Models.
CoRR
Yuxi Lu, Kunqi Li, Zhidong Li, Xiaohan Su, Biao Wu, Chenya Huang, Bin Liang
2025 — conf
A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping.
PAKDD (6)
Wenfeng Jia, Bin Liang, Yuxi Lu, Muhammad Arif Khan, Lihong Zheng
2025 J jnl
A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping.
CoRR
Wenfeng Jia, Bin Liang, Yuxi Liu, Muhammad Arif Khan, Lihong Zheng
2025 J jnl
An Adaptive Multi-Agent Framework for Semantic-Aware Process Mining.
Comput.
Xiaohan Su, Bin Liang, Zhidong Li, Yifei Dong, Justin Wang, Fang Chen
2025 Misc conf
BARE: Boundary-Aware with Resolution Enhancement for Tree Crown Delineation.
AusDM
Attavit Wilaiwongsakul, Bin Liang, Wenfeng Jia, Bryan Zheng, Fang Chen
2025 — conf
HOTA: Hierarchical Overlap-Tiling Aggregation for Large-Area 3D Flood Mapping.
ACPR (2)
Wenfeng Jia, Bin Liang, Yuxi Lu, Attavit Wilaiwongsakul, Muhammad Arif Khan, Lihong Zheng
2025 J jnl
HOTA: Hierarchical Overlap-Tiling Aggregation for Large-Area 3D Flood Mapping.
CoRR
Wenfeng Jia, Bin Liang, Yuxi Lu, Attavit Wilaiwongsakul, Muhammad Arif Khan, Lihong Zheng
2025 — conf
Multimodal Machine Learning for Real Estate Appraisal: A Comprehensive Survey.
PAKDD (4)
Chenya Huang, Bin Liang, Zhidong Li, Fang Chen
2025 J jnl
Multimodal Machine Learning for Real Estate Appraisal: A Comprehensive Survey.
CoRR
Chenya Huang, Zhidong Li, Fang Chen, Bin Liang
2025 J jnl
Remote Sensing-Oriented World Model.
CoRR
Yuxi Lu, Biao Wu, Zhidong Li, Kunqi Li, Chenya Huang, Huacan Wang, Qizhen Lan, Ronghao Chen, Ling Chen, Bin Liang
2025 A conf
Spatio-Temporal Residual Masked Autoencoder for Urban Rent Estimation.
CIKM
Chenya Huang, Bin Liang, Zhidong Li, Justin Wang, Fang Chen
2025 — conf
Synergistic MARL: Unifying Physics-Informed, Meta Learning, and Hybrid Learning to Outperform Communication-Based Coordination.
AI (2)
Yiyao Zhang, Yifei Dong, Kun Yu, Wei Liu, Jianlong Zhou, Bin Liang, Fang Chen
2024 J jnl
Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods.
CoRR
Shuming Liang, Yu Ding, Zhidong Li, Bin Liang, Siqi Zhang, Yang Wang, Fang Chen
2024 — conf
VAGNN: Advancing the Generalization of Graph Neural Networks.
ICONIP (1)
Shuming Liang, Yu Ding, Bin Liang, Zhidong Li, Siqi Zhang, Yang Wang, Fang Chen
2022 A* conf
Domain Generalization by Learning and Removing Domain-specific Features.
NeurIPS
Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang, Fang Chen
2022 J jnl
Domain Generalization by Learning and Removing Domain-specific Features.
CoRR
Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang, Fang Chen
2021 A conf
Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series.
CIKM
Shuming Liang, Zhidong Li, Bin Liang, Yu Ding, Yang Wang, Fang Chen
2020 C conf
A Data Driven Approach for Leak Detection with Smart Sensors.
ICARCV
Bin Liang, Sunny Verma, Jie Xu, Shuming Liang, Zhidong Li, Yang Wang, Fang Chen
2020 J jnl
Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers.
CoRR
Dilusha Weeraddana, Bin Liang, Zhidong Li, Yang Wang, Fang Chen, Livia Bonazzi, Dean Phillips, Nitin Saxena
2019 — conf
Optimising Pump Scheduling for Water Distribution Networks.
Australasian Conference on Artificial Intelligence
Yanchang Zhao, Bin Liang, Yang Wang, Shaobo Dang, Ronnie Taib, Fang Chen, Tin Hua, Dammika Vitanage, Corinna Doolan
2019 A* conf
Predicting Water Quality for the Woronora Delivery Network with Sparse Samples.
ICDM
Bin Liang, Dammika Vitanage, Corinna Doolan, Zhidong Li, Ronnie Taib, George Mathews, Yang Wang, Shiyang Lu, Fang Chen, Tin Hua, Andrew Peters
2018 A conf
Long-Term RNN: Predicting Hazard Function for Proactive Maintenance of Water Mains.
CIKM
Bin Liang, Zhidong Li, Yang Wang, Fang Chen
2018 Misc conf
Sequential Deep Learning for Action Recognition with Synthetic Multi-view Data from Depth Maps.
AusDM
Bin Liang, Lihong Zheng, Xinying Li
2017 Misc conf
Face Retrieval in Video Sequences Using a Single Face Sample.
DICTA
Bin Liang, Lihong Zheng, Jiwan Han
2017 Misc conf
Recent Advances of Deep Learning for Sign Language Recognition.
DICTA
Lihong Zheng, Bin Liang, Ailian Jiang
2017 J jnl
Specificity and Latent Correlation Learning for Action Recognition Using Synthetic Multi-View Data From Depth Maps.
IEEE Trans. Image Process.
Bin Liang, Lihong Zheng
2017 Misc conf
Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification.
DICTA
Jianlong Zhou, Zelin Li, Weiming Zhi, Bin Liang, Daniel Aaron Moses, Laughlin Dawes
2016 C conf
Sign language recognition using depth images.
ICARCV
Lihong Zheng, Bin Liang
2016 — conf
Visual Analytics of Relations of Multi-Attributes in Big Infrastructure Data.
BDVA
Jianlong Zhou, Zelin Li, Zongjian Zhang, Bin Liang, Fang Chen
2015 Misc conf
A Survey on Human Action Recognition Using Depth Sensors.
DICTA
Bin Liang, Lihong Zheng
2015 B conf
Spatio-temporal pyramid cuboid matching for action recognition using depth maps.
ICIP
Bin Liang, Lihong Zheng
2014 B conf
3D Motion Trail Model Based Pyramid Histograms of Oriented Gradient for Action Recognition.
ICPR
Bin Liang, Lihong Zheng
2014 — conf
Multi-modal Gesture Recognition Using Skeletal Joints and Motion Trail Model.
ECCV Workshops (1)
Bin Liang, Lihong Zheng
2013 B conf
Gesture recognition using depth images.
ICMI
Bin Liang
2013 — conf
Three Dimensional Motion Trail Model for Gesture Recognition.
ICCV Workshops
Bin Liang, Lihong Zheng