Prof Xiaojun Chang's AI Research
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About
Prof Xiaojun Chang is an esteemed professor in the Australian Artificial Intelligence Institute (AAII) at UTS, specializing in various areas of artificial intelligence, including computer vision, machine learning, and neural networks. He leads the Recognition, Learning, and Reasoning Lab (ReLER) where his work encompasses analyzing visual, acoustic, and textual signals in automatic content analysis, particularly in videos. With a strong academic background, he has secured significant research funding and published over 200 papers. His research includes topics like video analysis, multi-modal foundation models, and medical foundation models, with the aim of advancing AI to enhance human understanding and interaction with the real world, contributing positively to fields such as healthcare. Prof. Chang's work has received global recognition with multiple accolades, and he is actively involved in bridging the gap between academia and industry.
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Features
• focus on computer vision
• expertise in artificial intelligence
• research in multimedia information retrieval
• development of computational models
• experience with real-world outcomes
• publications in top-tier conferences
• director of reler lab
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