Programming Foundation
I mainly use Python, HTML, CSS, and JavaScript, and can build basic web applications, backend APIs, and experimental scripts.
AI Student / CV Research / Builder
Hi, I am Bohan Deng.
I am an Artificial Intelligence undergraduate at Great Bay University, focusing on computer vision, multimodal learning, AIGC detection, and fine-grained visual categorization.
D
“Ends then begins”
Current Status
Open to research collaboration / Undergraduate
- Focus
- CV / AIGC 检测
- Location
- Dongguan, China
- Response
- Within 24h
About
About Me
CCF-C
First-author paper
40+
Research papers read
12
CCF-A papers reproduced
- Affiliation
- Great Bay University, AI Undergraduate
- Advisor
- Zitong Yu
- Current Focus
- Mood Cafe, CS101-copilot, CCF-A-oriented writing
Beyond Research
40+ volunteer hours
ACG enthusiast
Technology enthusiast
Active event participant
INFJ
Figure collector
Badminton / long jump / sprint learner
I am Bohan Deng, a 2025 undergraduate student majoring in Artificial Intelligence at Great Bay University. My research interests include computer vision, multimodal learning, AIGC detection, and fine-grained visual categorization. I have published a CCF-C paper as the first author: “Optical Flow-Guided Asymmetric Cross-Modal Fine-grained Visual Categorization: A Method and Dataset.”
Published Work
Optical flow-guided cross-modal FGVC
Current Build
Mood Cafe + CS101-copilot
Looking For
Research collaborators and engineering partners
I participated in IEEE Winter School on Biometrics 2026 and organized the development of an OpenCV-based project for face orientation recognition, occlusion detection, and beauty-filter similarity comparison. I currently lead Mood Cafe, a Guangdong provincial innovation and entrepreneurship training project, and contribute to CS101-copilot, focusing on backend development and modular feature implementation.
I have read 40+ research papers and reproduced 12 CCF-A papers. I am looking for like-minded research collaborators, engineering partners, and long-term growth opportunities.
My advisor is Zitong Yu, tenured Associate Professor at Great Bay University, national high-level young talent, recipient of the National Outstanding Overseas Student Award, IEEE/CCF Senior Member, Deputy Director of the Dongguan Key Laboratory of Intelligent Information Technology, and Stanford’s Top 2% Scientists.
Research Habit
Read, reproduce, then build from the result.
Engineering Habit
Turn ideas into small, testable modules.
Personal Motto
Ends then begins
Skills
Skills & Directions
Model Architecture & Optimization
I am familiar with visual model structures such as Vision Transformer, CNN, and ResNet, and can quickly set up experiments, train models, and analyze results.
Communication
With bilingual instruction at Great Bay University and full-English communication experience at IEEE Winter School on Biometrics 2026, I can communicate technical ideas clearly in English.
Projects
Projects
Innovation Project
Mood Cafe
A Guangdong provincial innovation and entrepreneurship training project. I serve as project lead and work on backend development, model algorithm development, and API integration.
Education Tool
CS101-copilot
A course-learning assistance project. I work on backend setup and modular feature implementation, with attention to stable interfaces and extensible structure.
Experience
Experience Timeline
-
2026
Current Stage / Goal
Focusing on computer vision and artificial intelligence, currently developing Mood Cafe and working on a CCF-A-oriented paper.
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2025
Study / Research Training
Studying Artificial Intelligence at Great Bay University as a 2025 undergraduate, building foundations in mathematics, programming, machine learning, and research practice.
Contact
Let’s Talk
If you are interested in collaboration, opportunities, projects, or my work, feel free to contact me.