Yanming Fang

According to our database1, Yanming Fang authored at least 18 papers between 2018 and 2024.

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Bibliography

2024
A distribution-free method for probabilistic prediction.
Expert Syst. Appl., March, 2024

2022
Parcel-Level Mapping of Horticultural Crop Orchards in Complex Mountain Areas Using VHR and Time-Series Images.
Remote. Sens., 2022

Explored An Effective Methodology for Fine-Grained Snake Recognition.
CoRR, 2022

Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Heuristic strategies for solving the combinatorial optimization problem in real-world credit risk assessment.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China.
CoRR, 2021

Temporal-Aware Graph Neural Network for Credit Risk Prediction.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Inductive Link Prediction with Interactive Structure Learning on Attributed Graph.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

A Graph Attention Network Model for GMV Forecast on Online Shopping Festival.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020
Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference.
CoRR, 2020

Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs.
CoRR, 2020

Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Loan Default Analysis with Multiplex Graph Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Continuous-Time Dynamic Graph Learning via Neural Interaction Processes.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
A Semi-Supervised Graph Attentive Network for Financial Fraud Detection.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018


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