Shentao Yao

ORCID: 0009-0007-3199-1459
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About
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Research Areas
  • Building Energy and Comfort Optimization
  • Multimodal Machine Learning Applications
  • Privacy-Preserving Technologies in Data
  • Advanced Multi-Objective Optimization Algorithms
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Heat Transfer and Optimization

China University of Petroleum, East China
2024

Hefei University of Technology
2022

Air conditioning contributes a high percentage of energy consumption over the world. The efficient prediction can help to reduce consumption. Traditionally, multidimensional air data could only be processed sequentially for each dimension, thus resulting in inefficient feature extraction. Furthermore, due reasons such as implicit correlations between hyperparameters, automatic hyperparameter optimization (HPO) approaches not easily achieved. In this paper, we propose an auto-optimization...

10.3390/machines12070471 article EN cc-by Machines 2024-07-12

It is extremely challenging to infer the answers for long questions and complex videos. Video question answering not only needs capture clues from but also reasonably certain clip or frame in In paper, we propose a novel method understand entire video answer question. We utilize traditional attention mechanism combined with multi-head structure construct differentiated module. Different existing methods, our dedicated obtaining features. Videos on are split into few clips, there great...

10.1109/eebda53927.2022.9744732 article EN 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA) 2022-02-25
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