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PRODID:-//Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系 - ECPv6.15.20//NONSGML v1.0//EN
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METHOD:PUBLISH
X-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
X-ORIGINAL-URL:https://ece.hku.hk
X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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TZID:Asia/Hong_Kong
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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250508T160000
DTEND;TZID=Asia/Hong_Kong:20250508T170000
DTSTAMP:20260509T183755
CREATED:20250603T024218Z
LAST-MODIFIED:20250603T025042Z
UID:111464-1746720000-1746723600@ece.hku.hk
SUMMARY:Trustworthy Image Semantic Communication with GenAI: Explainability\, Controllability\, and Efficiency
DESCRIPTION:Abstract\nImage semantic communication (ISC) has garnered significant attention for its potential to achieve high efficiency in visual content transmission. However\, existing ISC systems based on joint source-channel coding face challenges in interpretability\, operability\, and compatibility. To address these limitations\, we propose a novel trustworthy ISC framework. This approach leverages text extraction and segmentation mapping techniques to convert images into explainable semantics\, while employing Generative Artificial Intelligence (GenAI) for multiple downstream inference tasks. We also introduce a multi-rate ISC transmission protocol that dynamically adapts to both the received explainable semantic content and specific task requirements at the receiver. Simulation results based on a real-world demo demonstrate that our framework achieves explainable learning\, decoupled training\, and compatible transmission in various application scenarios. Finally\, some intriguing research directions and application scenarios are identified. \nSpeaker\nDr. Chenyuan FENG\nMarie Skłodowska-Curie Scholar\,\n6G Star Young Scientist\,\nResearch Fellow at the University of Exeter \nSpeaker’s Biography\nDr. Chenyuan FENG\, Marie Skłodowska-Curie Scholar\, 6G Star Young Scientist. Dr. Feng earned the Ph.D. degree from the Singapore University of Technology and Design. Currently\, Dr. Feng is a Research Fellow at the University of Exeter\, U.K. Her research interests include edge intelligence and AI for communication and network. Dr. Feng has published over 40 papers\, including one ESI top 1% highly cited paper and 3 IEEE conference best papers. Moreover\, Dr. Feng has obtained five Chinese national invention patents and three edited book; earned the First Prize in International Postdoctoral Innovation and Entrepreneurship Competition\, one Gold and one Silver Awards in Chinese Internet+ Innovation and Entrepreneurship Competition; presided one EU horizon project and several National Natural Science Foundation project and national key R&D sub-project\, as well as one Enterprise Start-up Grant for Intelligent Unmanned Systems R & D Project (funded by Merchant & Investment Bureau in Chengdu Government\, China\, 5 million RMB\, as a Co-founder) and one Enterprise Start-up Grant for AI-RAN. She has served as a TPC member in numerous international conferences\, and an Associate Editor for IEEE IoTJ and IEEE OJ-COMS. \nOrganiser\nProf. Hongyang DU\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nAll are welcome!
URL:https://ece.hku.hk/events/20250508-1/
LOCATION:Room CB-601J\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Highlights,Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2025/06/1280-1.jpg
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