I am a researcher focusing on:
- Infrared and Visible Image Fusion
- Multimodal Image Processing
- Mamba / KAN-based Lightweight Vision Models
- Diffractive Deep Neural Networks (DΒ²NN)
- Optical Computing and Intelligent Perception
My recent work mainly explores efficient and high-performance multimodal fusion frameworks, illumination-aware modeling, heterogeneous feature learning, and all-optical neural network design.
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Yichen Sun, et al.
An Innovative Optimization Strategy Based on Mamba and Generative Adversarial Networks for Efficient and High-Performance Multimodal Image Fusion
Engineering Applications of Artificial Intelligence (EAAI), 2025
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Yichen Sun, et al.
HAIAFusion: A Hybrid Attention Illumination-Aware Framework for Infrared and Visible Image Fusion
IEEE Transactions on Instrumentation and Measurement (TIM), 2025
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Yichen Sun, et al.
Rethinking the approach to lightweight multi-branch heterogeneous image fusion frameworks: Infrared and visible image fusion via the parallel Mamba-KAN framework
Optics & Laser Technology, 2025
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Yichen Sun, et al.
MBHFuse: A multi-branch heterogeneous global and local infrared and visible image fusion with differential convolutional amplification features
Optics & Laser Technology, 2024
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Yichen Sun, et al.
2bit nonlinear diffractive deep neural network (2bit ND2NN): A quantized nonlinear all-optical diffractive deep neural network implementation
Optics & Laser Technology, 2024
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Yichen Sun, et al.
A deep-learning-based GPS signal spoofing detection method for small UAVs
Drones, 2023
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Yichen Sun, et al.
Review of diffractive deep neural networks
Journal of the Optical Society of America B, 2023
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Yichen Sun, et al.
A method to improve the computational performance of nonlinear all-optical diffractive deep neural network model
International Journal of Optomechatronics, 2023
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Yichen Sun, et al.
Modeling and simulation of all-optical diffractive neural network based on nonlinear optical materials
Optics Letters, 2021
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Yichen Sun, et al.
Nonlinear All-Optical Diffractive Deep Neural Network with 10.6 ΞΌm Wavelength for Image Classification
International Journal of Optics, 2021
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- Multimodal image fusion with Mamba-based architectures
- Lightweight fusion frameworks with parallel Mamba-KAN design
- Hybrid attention and illumination-aware modeling
- Quantized nonlinear all-optical diffractive neural networks
- Intelligent perception for robotics and UAV applications
Building efficient, robust, and interpretable multimodal perception frameworks for next-generation intelligent systems.
- Name: Yichen Sun
- Research Areas: Image Fusion, DΒ²NN, Intelligent Perception
- GitHub: sunyichen1994