Yihang Wu

👋 Hello, World!

I’m Yihang Wu, a first-year Master’s student at the School of Artificial Intelligence, Guilin University of Electronic Technology, located in the breathtaking city of Guilin, China. 🌄

Under the supervision of Dr. Ahmad Chaddad, I’m diving deep into the fascinating world of AI, focusing on cutting-edge research areas like:

• Federated Learning 🤖
• Domain Adaptation 🔄
• Vision-Language Models 👁️🗨️
• Medical Image Analysis 🏥
• Computer Vision 👀

🚀 Research & Publications

I’ve been fortunate to contribute to several impactful projects (e.g., NSFC), resulting in publications in top-tier conferences and journals. Here are some highlights:

• FACMIC (Published in MICCAI 2024)
• KD-FMV (Published in AAAI 2025)
• Federated Learning for Healthcare Applications (Published in IEEE Internet of Things Journal)
• FAA-CLIP: Federated Adversarial Adaptation of CLIP (Published in IEEE Internet of Things Journal)
• Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification (Published in IEEE Transactions on Instrumentation and Measurement)
• Deep Modeling and Optimization of Medical Image Classification (Published in IEEE ISBI 2025)
• Semi-Supervised Medical Image Segmentation via Dual Networks (Published in IEEE ISBI 2025)
• Domain Adaptation Techniques for Natural and Medical Image Classification (Accepted in Information Sciences)

🎯 Academic Contributions

I’m also actively involved in the academic community, serving as a reviewer for prestigious conferences and journals:

• Conferences: IJCNN 2025 (Main Track); SIGKDD 2025 (ADS Track, February Submission, Excellent Reviewer, top 25%); MICCAI 2025 (Main Track); ICIC 2025 (PC Member); ACM MM 2025 (Main Track, Datasets Track); SIGKDD 2026 (ADS Track, August Submission); AAAI 2026 (Main Track, AIA Track, Program committee); WWW 2026 (Industrial Track, Program committee);

• Journals: Information Fusion (IF=15.5); Pattern Recognition (IF=7.6); IEEE Transactions on Information Forensics and Security (IF=8); IEEE Transactions on Medical Imaging (IF=9.8); Knowledge Based Systems (IF=7.6); IEEE Internet of Things Journal (IF=8.9)

🔍 Seeking PhD Opportunities

I’m currently on the lookout for PhD opportunities where I can further explore my research interests in vision-language models, federated learning, domain adaptation, and medical image analysis. I’m eager to collaborate with leading researchers and contribute to groundbreaking advancements in AI.

If you’re working on exciting projects in these areas, let’s connect! I’m always open to discussions, collaborations, or just geeking out about AI. 🤓

(●’◡’●) Projects and Awards

Awards

1. National scholarship for poverty students
2. First-rank scholarship in school of artificial intelligence
3. Academic Star in GUET (i.e., top 10 from all Master and PhD students).

Projects

1. National college students innovation training project (No. 202310595083) (PI)
2. Innovation project of GUET graduate education (No. 2025YCXS244) (PI)

🤝 Let’s Collaborate!

I’m passionate about the potential of AI to transform healthcare and beyond. If you’re interested in collaborating or discussing potential opportunities, feel free to reach out:

📧 Email: wuyihang147258@gmail.com / 2001630317@mails.guet.edu.cn

Let’s build the future of AI together! 🚀