Computer Science · UNSW Canberra
Adrian
Ph.D. candidate
Multimodal generative AI,
vision-language models, and industrial applications.
I am a Ph.D. candidate in Computer Science at the University of New South Wales (UNSW), Canberra, advised by Prof. Huadong Mo and Prof. Daoyi Dong.
My research focuses on multimodal generative AI and vision-language models (VLMs), as well as their applications in industry. I am interested in controllable image and video generation, visual understanding, and multimodal reasoning. My background in industrial control and optimization informs how I approach the dynamics and practical constraints of industrial systems.
Research interests
Multimodal
generative AI
Controllable image and video generation, with a focus on consistent synthesis and editing.
Vision-language
models
Visual understanding and multimodal reasoning, including long-video analysis and VLM-based agents.
Industrial
applications
Exploring how generative models and VLMs can support industrial perception, modeling, and decision making.
I welcome collaborations on multimodal generation, vision-language models, and their applications in industry. Get in touch
Education
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2024 – Present
Ph.D. in Computer Science
University of New South Wales
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2020 – 2023
M.Eng. in Control Science & Engineering
Beihang University
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2016 – 2020
B.S. in Weapon Science & Technology
Beijing Institute of Technology
News
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Joined the School of Systems and Computing at UNSW as a Ph.D. candidate.
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Our paper “Robust Control of Multi-Line Re-Entrant Manufacturing Plants...” was published in IEEE Transactions on Automation Science and Engineering (T-ASE).