Master’s student at China Agricultural University, Beijing, China.
Mr. Fuhao Chang is a talented and rapidly emerging researcher in the field of Generative Artificial Intelligence, with a strong academic and technical foundation in computer technology and IoT engineering. Currently pursuing his Master’s degree at China Agricultural University, he is recognized for his innovative contributions to generative modeling, multimodal AI systems, and time-series simulation. With a passion for deep learning, diffusion models, and transformer architectures, Fuhao combines academic rigor with hands-on expertise, actively contributing to both research and industry-relevant AI applications.
Professional Profile
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🎓 Education
Mr. Chang is a graduate student at China Agricultural University, a top-tier “985” institution in China, where he is pursuing a Master’s degree in Computer Technology (2023–2026). He entered the program as a recommended student (保送生), reflecting his academic excellence. Prior to this, he completed his undergraduate studies at Wuhan University of Engineering, majoring in the Internet of Things Engineering. With a GPA of 3.68/4.0, he graduated as an Outstanding Graduate within the top 5% of his class.
💼 Experience
Fuhao gained valuable industry experience during his internship at Beijing Century Good Future Education Technology Co., Ltd., where he worked on the integration of large-scale multimodal models with Stable Diffusion for geometric image editing. His contributions included vocabulary extension of LLaVA models, fine-tuning through LoRA, and the development of bi-directional interactive modules for precise alignment between image and text features. He has also been involved in the deployment of several cutting-edge models such as LLaMA2, Qwen2-VL, SAM2, and FLUX, using multi-GPU/NPU distributed training environments.
🔬 Research Interests
Mr. Chang’s research centers on generative AI, multimodal interaction, and time-series forecasting. He has worked extensively with diffusion models, transformer-based architectures, and probabilistic forecasting techniques. A major focus of his work has been on improving the decoder and loss functions of diffusion transformers to enhance temporal dynamic simulation, integrating Fourier transforms and polynomial fitting into attention mechanisms. His innovations have led to performance improvements of over 30% in uncertainty and temporal accuracy. His recent work on stochastic weather simulation for photovoltaic integration has been well-received by top journals.
Honors & Awards
Fuhao has earned numerous accolades at both national and provincial levels. He is a certified System Architect (高级工程师) and Software Designer, and holds CET-6 English language certification (Score: 476). His awards include the National Second Prize in the 2023 China University Digital Skills Competition, the Third Prize in the 2022 Lanqiao Cup National Software Competition, and another National Second Prize in the 2021 National University Computer Skills Challenge. He also holds more than nine provincial and five university-level honors.
Top Noted Publications:
1. Crop Pest Image Recognition Based on the Improved ViT Method
Authors: X. Fu, Q. Ma, F. Yang, C. Zhang, X. Zhao, F. Chang, L. Han
Citations: 59
Index: SCI – Information Processing in Agriculture
Year: 2024
2. Simulation and Forecasting of Fishery Weather Based on Statistical Machine Learning
Authors: X. Fu, C. Zhang, F. Chang, L. Han, X. Zhao, Z. Wang, Q. Ma
Citations: 11
Index: SCI – Information Processing in Agriculture
Year: 2024
3. Stochastic Scenario Generation Methods for Uncertainty in Wind and Photovoltaic Power Outputs: A Comprehensive Review
Authors: K. Zheng, Z. Sun, Y. Song, C. Zhang, C. Zhang, F. Chang, D. Yang, X. Fu
Citations: 1
Index: SCI – Energies
Year: 2025
4. Revolutionising Agri‐Energy: A Comprehensive Survey on the Applications of Artificial Intelligence in Agricultural Energy Internet
Authors: X. Fu, W. Ye, X. Li, X. Zeng, Y. Wang, F. Chang, J. Zhang, R. Liu
Citations: 1
Index: SCI – Energy Internet
Year: 2024
5. Knowledge-Integrated GAN Model for Stochastic Time-Series Simulation of Year-Round Weather for Photovoltaic Integration Analysis
Authors: X. Fu, F. Chang, H. Sun, P. Zhang, Y. Zhang
Citations: Not yet indexed
Index: SCI – IEEE Transactions on Power Systems
Year: 2025
Conclusion:
Mr. Fuhao Chang is a standout example of a new generation of AI researchers who blend deep technical understanding with practical, impactful innovation. His strong academic background, research achievements, and commitment to advancing AI technologies make him a worthy candidate for prestigious recognitions such as the Best Researcher Award. With continued growth in global collaboration and communication, Fuhao is poised to make significant contributions to the field of AI on both national and international stages.