Yihao Ding

Yihao Ding is a Research Fellow at the School of Physics, Mathematics and Computing at The University of Western Australia. He holds a Ph.D. in Computer Science from the University of Sydney, awarded on November 11, 2024.

Dr. Ding's educational background includes:

• Doctor of Philosophy in Computer Science, Visually Rich Document Understanding and Intelligence, University of Sydney (March 1, 2021 - November 11, 2024)

His research focuses on multimodal large language models, deep learning-based document analysis, information retrieval, question answering, and interdisciplinary applications of deep learning. Dr. Ding has published extensively in leading conferences and journals, including ACL, CVPR, AAAI, IJCAI, SIGIR, ECML-PKDD, COLING, and CIKM. His current work spans visual document understanding, multimodal learning, natural language processing, and interdisciplinary applications including geographic information systems.

Dr. Ding's recent publications demonstrate a strong focus on visually-rich document understanding, multimodal learning, and interdisciplinary applications. His work ranges from developing novel multimodal models for form document understanding to creating comprehensive datasets for visual question answering and applying machine learning to environmental challenges like lithium recovery from water sources. His research shows a consistent pattern of addressing complex multimodal problems with innovative deep learning approaches.

Dr. Ding is an active member of the AI community, having organized workshops, tutorials, and competitions at top-tier venues such as AAAI, IJCAI, and CIKM. He has also served as a Chair or Reviewer for major conferences including IJCAI, ARR Rolling, ICLR, ACMMM, CVPR, ICCV, WACV and IJCNN.