Jingrong Wu

ORCID: 0000-0003-1028-3166
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About
Contact & Profiles
Research Areas
  • Energy Load and Power Forecasting
  • Hydrological Forecasting Using AI
  • Traffic Prediction and Management Techniques
  • Neural Networks and Applications
  • Meteorological Phenomena and Simulations
  • Educational and Technological Research
  • Domain Adaptation and Few-Shot Learning
  • Big Data Technologies and Applications

Nanjing University of Information Science and Technology
2021

Few-shot learning (FSL) has recently been extensively utilized to overcome the scarcity of training data in domain-specific visual recognition. In real-world scenarios, environmental factors such as complex backgrounds, varying lighting conditions, long-distance shooting, and moving targets often cause test images exhibit numerous incomplete or noise disruptions. However, current research on evaluation datasets methodologies largely ignored concept "environmental robustness", which refers...

10.48550/arxiv.2502.01183 preprint EN arXiv (Cornell University) 2025-02-03

Atmospheric temperature forecast plays an important role in weather and has a significant impact on human daily economic life. However, due to the complexity uncertainty of atmospheric system, exploring advanced forecasting methods improve accuracy meteorological prediction always been research topic for scientists. With continuous improvement computer performance data acquisition technology, gained explosive growth, which creates necessary hardware support conditions more accurate forecast....

10.32604/iasc.2021.020010 article EN cc-by Intelligent Automation & Soft Computing 2021-01-01
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