Longfei Han

Orcid: 0000-0003-2135-6228

According to our database1, Longfei Han authored at least 18 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Contextual Dependency Vision Transformer for spectrogram-based multivariate time series analysis.
Neurocomputing, March, 2024

RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Mapping of Soil Liquefaction Associated with the 2021 Mw 7.4 Maduo (Madoi) Earthquake Based on the UAV Photogrammetry Technology.
Remote. Sens., February, 2023

Semantic-aware knowledge distillation with parameter-free feature uniformization.
Vis. Intell., 2023

BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation.
IEEE J. Biomed. Health Informatics, 2023

A Mutual Enhancement Framework for Specular Highlight Detection and Removal.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Giving Text More Imagination Space for Image-text Matching.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

FlexSense: Flexible Infrastructure Sensors for Traffic Perception.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Learning to Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction.
Proceedings of the HCMA@MM 2022: Proceedings of the 3rd International Workshop on Human-Centric Multimedia Analysis, 2022

Attention-Aware Learning for Hyperparameter Prediction in Image Processing Pipelines.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image Recognition.
CoRR, 2021

2020
Deep supervised learning with mixture of neural networks.
Artif. Intell. Medicine, 2020

2017
An Intelligible Risk Stratification Model Based on Pairwise and Size Constrained Kmeans.
IEEE J. Biomed. Health Informatics, 2017

Self-paced Mixture of Regressions.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Soft-Margin Mixture of Regressions.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015
Rule Extraction From Support Vector Machines Using Ensemble Learning Approach: An Application for Diagnosis of Diabetes.
IEEE J. Biomed. Health Informatics, 2015

2014
Exploring the effects of intervention for those at high risk of developing type 2 diabetes using a computer simulation.
Comput. Biol. Medicine, 2014


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