22 citations · 30 across the 4 of their papers we have counts for
4 papers
Multimodal Machine Learning for Real Estate Appraisal: A Comprehensive Survey
Chenya Huang, Zhidong Li, Fang Chen +1
Real estate appraisal has undergone a significant transition from manual to automated valuation and is entering a new phase of evolution. Leveraging comprehensive attention to vari…
Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods
Shuming Liang, Yu Ding, Zhidong Li +4
This paper explores the ability of Graph Neural Networks (GNNs) in learning various forms of information for link prediction, alongside a brief review of existing link prediction m…
Domain Generalization by Learning and Removing Domain-specific Features
Yu Ding, Lei Wang, Bin Liang +3
Deep Neural Networks (DNNs) suffer from domain shift when the test dataset follows a distribution different from the training dataset. Domain generalization aims to tackle this iss…
Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers
Dilusha Weeraddana, Bin Liang, Zhidong Li +5
Data61 and Western Water worked collaboratively to apply engineering expertise and Machine Learning tools to find a cost-effective solution to the pipe failure problem in the regio…