Kai-Lung Hua - MVC Lab

Advisor - Professor Kai-Lung Hua

Professor Kai-Lung Hua currently serves as a Professor in the Department of Computer Science and Information Engineering at National Taiwan University of Science and Technology and Chief Technology Officer at Microsoft Taiwan. Professor Hua holds a Ph.D. in Electrical and Computer Engineering from Purdue University, USA, and has long focused on research in computer vision, image processing, artificial intelligence, generative AI, and agentic AI. He is dedicated to the design and application of deep learning models, with particular emphasis on computer vision and multimodal perception technologies, driving innovative applications of artificial intelligence in both industry and academia.

Professor Hua has published numerous papers in international journals and conferences and leads multiple industry-academia collaboration projects, continuously advancing the practical deployment and development of artificial intelligence technologies.

Learn More

MVC Lab Advances the Frontier of Artificial Intelligence Research

Explore our innovative research in computer vision, artificial intelligence, and related fields, continuously driving technological advancement and practical applications. MVC Lab is not only committed to cutting-edge AI research but also actively promotes industry-academia collaboration, transforming research outcomes into real-world impact.

Computer Vision & Image Processing

From image recognition to scene understanding, MVC Lab enables computers to "see" and comprehend the world through deep learning models. We focus on core technologies such as object detection, semantic segmentation, and image analysis, establishing a solid foundation for intelligent visual applications and driving AI innovation in real-world scenarios.

Deep Learning & Artificial Intelligence

We focus on the design and optimization of neural networks, developing efficient and generalizable models for various downstream tasks. Our research encompasses model architecture innovation, training strategy optimization, and practical deployment of AI systems, advancing AI technology from theory to practice.

Agentic AI & Generative AI

We explore agentic AI with reasoning and action capabilities, combined with the creative potential of generative AI, to build intelligent systems capable of autonomous understanding, decision-making, and content generation. Our research directions include multimodal generation, task-oriented agent design, and reinforcement learning applications in complex environments, propelling artificial intelligence toward higher levels of autonomy and innovation.

Internship Opportunities

Students from MVC Lab share their internship experiences and growth during their studies

Jhong, Meng-Ting

TAI @ Microsoft

My experience at MVC Lab gave me a deep understanding of computer vision. The professor's guidance and hands-on project experience laid a solid foundation for my later internship at Microsoft. The research atmosphere in the lab is excellent, and everyone is willing to share knowledge.

Chen, Jyun-Wei

TAI @ Microsoft

MVC Lab provided excellent industry-academia collaboration opportunities, allowing me to access cutting-edge AI technologies. The deep learning knowledge and practical experience gained here directly helped me quickly adapt to various projects in Microsoft's AI team.

Ho, Po-Heng

TAI @ Microsoft

The lab's research projects are highly practical, especially in image processing and machine learning. Through participation in actual industry-academia collaboration cases, I learned how to transform theoretical knowledge into practical solutions, which is crucial for my career development.

Chen, Shang-Fu

Deep Learning Intern @ Intel

My time at MVC Lab gave me a comprehensive understanding of multimedia technologies. The lab not only provides state-of-the-art equipment and resources but, more importantly, cultivates independent thinking and problem-solving abilities.

Huang, Tai-Ming

Deep Learning Intern @ Intel

The diverse research environment at MVC Lab allowed me to learn across disciplines, from computer vision to generative AI. The dedicated guidance from the professor and senior lab members greatly enhanced my technical abilities and research methodologies.