Yanming Fang
According to our database1,
Yanming Fang
authored at least 18 papers
between 2018 and 2024.
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Bibliography
2024
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
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
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021
2020
CoRR, 2020
CoRR, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
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