Mingfan Zhao
Professional Profile
Hello, I'm Mingfan Zhao(赵明帆), a Ph.D. candidate at Sun Yat-sen University, advised by Dr. Wen-Dong Mao and Prof. Zhongfeng Wang (IEEE Fellow). I received my M.S. from Xi'an Institute of Optics and Precision Mechanics, CAS in 2023 under Prof. Xiaoqiang Lu, and my B.S. from Northwest University (China) in 2018. My research interests include Deep Learning, AI Hardware Acceleration, and Robotics.
Research Experience
Exploring innovative algorithms and techniques for efficient and reliable robot path planning in dynamic environments.
- My Role: Algorithm design and implementation
Hardware acceleration for neural network models with focus on optimizing power efficiency.
- My Role: Algorithm optimization and hardware design
Developed GAN-based methods for both paired and unpaired infrared image colorization, addressing artifacts and improving colorization quality using saliency maps and cycle consistency.
- My Role: Redesigned network architectures and optimized training strategies
Proposed a deep learning approach for demodulating polarization images, effectively removing stripe noise while preserving critical information.
- My Role: Redesigned generator and loss functions to utilize hierarchical features
Technical Skills
Core Skills
Publications
This paper presents DATA, a memory-efficient deformable transformer accelerator designed through neural architecture search. The work focuses on optimizing hardware implementation of transformer models with deformable attention mechanisms, addressing key challenges in memory management and computational efficiency.
DOI: 10.1109/TVLSI.2025.3589359
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This paper presents a novel demodulation method for channeled modulated polarization imaging using hybrid feature modulated autoencoders. The approach addresses key challenges in polarization image processing and demonstrates improved performance in automated image analysis.
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This paper provides a comprehensive guide for designing broadband full polarization imagers using dispersion-compensation Savart plates, with focus on optical system optimization and performance enhancement.
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This paper presents a novel GAN-based approach for colorizing unpaired infrared images, addressing common artifacts and distortion issues through a cycle-consistent Swin Transformer architecture.
View PaperResearch in Progress
Currently working on additional papers in the areas of transformer hardware acceleration and robotics.
Education Background
PhD Candidate in Electronic Science & Technology
Advisor: Wendong Mao, Zhongfeng Wang
- Doctoral First-Class Scholarship (2023-2024)
- Research focus: Hardware acceleration for neural networks, computer vision algorithms
Master of Engineering in Electronic Information
Cultivation Unit: Xi'an Institute of Optics and Precision Mechanics, CAS
Advisor: Xiaoqiang Lu
- Outstanding Student Award (2020-2021)
- Outstanding Student Award (2021-2022)
- Master's thesis focused on infrared image colorization using GANs
Bachelor of Engineering in Optoelectronic Information Science & Engineering
- University Scholarship (2014-2015)
- University Scholarship (2015-2016)
- University Scholarship (2016-2017)
Work Experience
C++ Software Developer
- One of the main developers for C++ application software
- Responsibilities: Software framework design and sub-module development
- Achievements: Completed framework construction and module interaction; delivered initial version before departure
Hobbies & Interests
Outside of my academic and research work, I enjoy various activities that help me maintain a balanced lifestyle and foster creativity. Here are some of my interests:
Volleyball
Passionate about playing volleyball, enjoying the teamwork and physical engagement that the sport provides.
Frisbee
Enjoying frisbee as a recreational sport that combines skill, strategy, and outdoor fun with friends.
Tennis
Dedicated to tennis as a sport that challenges both mind and body, providing excellent cardiovascular exercise.
Life Photos
Extracurricular Activities
- Northwest University Science & Entrepreneurship Association - Vice Minister of Science Popularization Department (2015.6 - 2016.6)
- UCAS School of Optoelectronics Student Union - Minister of Arts Department (2020.9 - 2021.6)
Additional Notes
About Me
I am an optimistic and positive person, always open to communication and collaboration. Throughout my journey, I feel incredibly lucky to have received support and help from so many people. I aspire to continue pursuing scientific research and hope to make meaningful contributions in the future!