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31 JAN 2024 (WED) 11:00AM

Departmental Research Seminars Series

Machine Learning Approaches for Multi-Modal Data Fusion in Satellite Remote Sensing: From Transformers to Large Language Models (LLMs)

Date: 31 JAN 2024 (Wednesday)

Time: 11:00AM (HKT)

Venue: CLL, Department of Geography, 10F, The Jockey Club Tower, Centennial Campus, HKU



In recent years, the rapid development of satellite manufacturing and launch technology has allowed us to obtain a vast amount of satellite remote sensing data. However, these data have the characteristics of being large in volume, diverse in types, and highly heterogeneous, making traditional statistical-based data processing methods ineffective in handling such complex and massive data. This talk will take the example of semantic segmentation tasks for satellite remote sensing to demonstrate how the latest technologies in the field of machine learning, from Transformers to large-scale language models (LLM), can be helpful for achieving efficient semantic segmentation by exploiting the fusion of multi-modal and multi-scale information.

Professor Simon PUN

Associate Professor, The Chinese University of Hong Kong, Shenzhen (CUHKSZ)

Prof. Simon Pun earned his Bachelor's degree from The Chinese University of Hong Kong (CUHK), his Master's degree from the University of Tsukuba, Japan, and his Ph.D. from the University of Southern California (USC) in Los Angeles, USA. Following that, he served as a post-doctoral research associate at Princeton University (USA).


Before becoming an Associate Professor at The Chinese University of Hong Kong, Shenzhen (CUHKSZ) in 2015, Prof. Simon Pun held research positions at Huawei (USA), Mitsubishi Electric (Boston), and Sony (Tokyo). Prof. Pun's research focuses on AI Internet of Things (AIoT) and the applications of machine learning in communication and satellite remote sensing.


Prof. Pun is the founding chair of the IEEE ComSoc-SPS joint chapter in Shenzhen. He has served as the associate editor for the IEEE Transactions on Wireless Communications and the guest editor for Remote Sensing. Prof. Pun has been the recipient of many accolades including three best paper awards and prestigious scholarships in Hong Kong, such as those from the Sir Edward Youde Memorial Fund and the Croucher Foundation.



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