I am a Ph.D. student in Information Technology (Information Science and Technology) at the George Mason University, advised by Dr. Lei Yang and Dr. Weiwen Jiang. My primary research interests focus on multi-modal generation, edge machine learning,and efficient AI. I have authored over 10 papers in leading conferences and journals (Google scholar). I also collaborate with Dr. Youzuo Lin from University of North Carolina at Chapel Hill and Los Alamos National Lab closely.

I graduated from University of Electronic Science and Technology of China with a bachelor’s degree and a master’s degree, advised by Dr. Jinyu Zhan.

🔥 News

• 2025.01:  🎉🎉 Our paper is selected as Oral at AAAI 2025.
• 2024.12:  🎉🎉 One paper is accepted by AAAI 2025
• 2024.09: We give the tutorial of Novel Toolkits toward AI for Science on Resource-Constrained Computing Systems at ESWEEK 2024
• 2024.07:  🎉🎉 Two papers are accepted by MICCAI 2024
• 2024.06: We give the tutorial of Deep Learning Techniques for Wave-Based Imaging at SIAM 2024
• 2024.02:  🎉🎉 One paper is accepted by DAC 2024

📝 Selected Publications

• A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset, Junhuan Yang, Yuzhou Zhang, Yi Sheng, Youzuo Lin and Lei Yang. AAAI2025 [Code] (Oral, 4.6% Acceptance Rate)

• EdGeo: A Physics-guided Generative AI Toolkit for Geophysical Monitoring on Edge Devices, Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin and Lei Yang. DAC2024 [Code] (23% Acceptance Rate)

• Enhanced AI for Science using Diffusion-based Generative AI-A Case Study on Ultrasound Computing Tomography, Junhuan Yang, Yi Sheng, Yuzhou Zhang, Hanchen Wang, Youzuo Lin, Lei Yang. GLSVLSI2024

• On-Device Unsupervised Image Segmentation, Junhuan Yang, Yi Sheng, Yuzhou Zhang, Weiwen Jiang, Lei Yang. DAC2023 (23% Acceptance Rate)

• Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing, Junhuan Yang, Venkat Kalyan Reddy Yasa, Yi Sheng, Dayane Reis, Xun Jiao, Weiwen Jiang, Lei Yang. ISVLSI2022

• Automated Architecture Search for Brain-inspired Hyperdimensional Computing Junhuan Yang, Yi Sheng, Sizhe Zhang, Ruixuan Wang, Kenneth Foreman, Mikell Paige, Xun Jiao, Weiwen Jiang, Lei Yang. AutoML2022 (Late-Breaking)

🎖 Honors and Awards

• 2024.06 DAC Young Fellow
• 2023.07 DAC Young Fellow
• 2018.06 Outstanding master’s thesis
• 2017.10 National Scholarship
• 2017.10 Graduate Student First-Class Scholarship
• 2017.10 Outstanding Graduate Student
• 2016.10 National Scholarship
• 2016.10 Graduate Student First-Class Scholarship
• 2016.10 Outstanding Graduate Student

📖 Educations

• 2022.08 - now, George Mason University
• 2021.09 - 2022.07, The University of New Mexico
• 2015.09 - 2018.06, University of Electronic Science and Technology of China
• 2011.09 - 2015.06, University of Electronic Science and Technology of China

💬 Invited Talks

• 2024.09: Gave the tutorial of Novel Toolkits toward AI for Science on Resource-Constrained Computing Systems at ESWEEK 2024
• 2024.06, Gave the tutorial of Deep Learning Techniques for Wave-Based Imaging at SIAM 2024

💻 Internships

• 2023.05 - 2023.08, Los Alamos National Lab, U.S.