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🚀 Join the Excitement of Robotics! Competition Details Date: 19 July 2025 (SAT) Time: Check-in begins at 9:00 AM Venue: Innovation Wing One, G/F, Hui Oi Chow Science Building, The University of Hong Kong (HKU) (directions to the venue) Competition Description Engage your autonomous robots in thrilling challenges: - Maze Navigation 迷宮探索 - Rescue […]
Abstract Finite symmetric groups Sn are essential in fields such as combinatorics, physics, and chemistry. However, learning a probability distribution over Sn poses significant challenges due to its intractable size and discrete nature. We introduce SymmetricDiffusers, a novel discrete diffusion model that simplifies the task of learning a complicated distribution over Sn by decomposing it […]
Abstract Dr. Lu will talk about the scope of Nature Nanotechnology and an overview of Nature journals. And she will share her experience on the editorial process (the workflow and the statistical data) and disclose the criteria of Nature journals from an insider’s view. Through the talk, you will know better on what kind of papers […]
Zoom Link: https://hku.zoom.us/j/96780307210?pwd=1wIMCFlBwNOSDiVMsEFxnVgzm5kLnn.1 Abstract Renewable energy generation has almost no variable costs and is no longer suitable for marginal cost pricing. New renewable power-generating facilities have a large amount of fixed costs, which can be determined by long-term average cost to join the final electricity price setting in the electricity market. This paper designs […]
Abstract High penetration of renewable energy poses severe challenges to power system voltage stability due to weakened voltage and reactive power support, complex voltage stability mechanisms, and highly diversified operation states. Traditional control strategies predefined based on limited operation states fail to maintain the required voltage stability margin. This report presents a constraint-learning-based framework for […]
Abstract Since 2016, deep learning techniques have been introduced to solve the inverse problem of MR image reconstruction from undersampled data from accelerated acquisitions. Since then, the field has grown substantially. A wide range of machine learning methods have been developed, translated into clinical practice and adopted as products by all major scanner vendors. In […]
Zoom Link: https://us05web.zoom.us/j/82334736966?pwd=rKsbc5OlbKDaftQ5NbrkvvoohDw5ct.1 Abstract ESPIRiT, one commonly used parallel imaging reconstruction technique, forms the images from undersampled MR data using ESPIRiT data using ESPIRiT maps that closely represent coil sensitivity information. Accurate estimation of ESPIRiT maps requires the acquisition of coil sensitivity calibration or autocalibration signals. We develop a U-Net based deep learning model to […]
Zoom Link: https://hku.zoom.us/j/93345117865?pwd=f9VJJMOyiUlAkwOwAe4E5rboouDJIP.1 Abstract The recent resurgence of ultra-low-field (ULF) magnetic resonance imaging (MRI) (i.e., below 0.1 T) is showing great promise for future clinical applications due to its low cost, portability, and accessibility. One significant advantage of ULF MRI is its extremely low specific absorption rate (SAR), which makes it possible to use […]
Zoom Link: https://hku.zoom.us/j/94172535993?pwd=oTH8kZ6eiLvp9a61FDZ21omj70WVaA.1 Abstract The high cost and limited accessibility of MRI scanners remain significant barriers to their broader use in clinical settings. This study aims to demonstrate the feasibility of balanced steady-state free precession (bSSFP) imaging at ultra-low-field (ULF) on a highly simplified and low-cost 0.05 Tesla whole-body MRI scanner. The bSSFP protocols […]
Zoom Link: https://hku.zoom.us/j/94773711550 Abstract Nanodiamonds (NDs) with nitrogen-vacancy (NV) centers, play a pivotal role in biological sensing due to their stable fluorescence, high sensitivity to magnetic fields and temperature, exceptional chemical stability, and remarkable biocompatibility, enabling advanced applications in real-time cellular monitoring and tissue imaging. However, precisely positioning and patterning NDs onto biological interfaces remains […]
Abstract In this talk, the speaker will introduce how optical technology can contribute to biological studies. Light has long been one of the most powerful tools for investigating living systems. Optical imaging techniques allow direct observation of dynamic cellular processes in vivo, while optogenetics enables the precise modulation of neuronal circuits with high spatiotemporal resolution. […]
All members of the HKU community and the general public are welcome to join. Seats for on-site participants are limited. Interested parties please register through the link below by September 9, 2025 18:00pm:https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=102594 A confirmation email will be sent to participants who have successfully registered. Abstract Wireless networks have fundamentally transformed our daily lives. Behind this […]
About the Talk Artificial Intelligence (AI) is revolutionising industries, and speech recognition stands at the forefront of this transformation. In this engaging session, we will delve into the fascinating world of AI, focusing on speech recognition and its related technologies with incredible potential. Fano will share insights from our journey—how they navigated the challenges and […]
Zoom Link: https://hku.zoom.us/j/99645936669 Abstract The demand for edge artificial intelligence to process event-based, complex data calls for hardware beyond conventional digital, von-Neumann architectures. Neuromorphic computing, using spiking neural networks (SNNs) with emerging memristors, is a promising solution, but existing systems often discard temporal information, demonstrate non-competitive accuracy, or rely on neuron designs with large capacitors […]
Registration Link: https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=102673 Kindly note that the lecture will be conducted in Putonghu. Speaker Prof. Ping ZHANG, Beijing University of Posts and Telecommunications Abstract Syntactic communication is marked by the American scientist Shannon Information Theory, which points out the development direction for information measurement, compression and transmission. However, after nearly 80 years of development, syntactic […]
Registration Link: https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=102674 Kindly note that the lecture will be conducted in Putonghu. Speaker Prof. Ping ZHANG, Beijing University of Posts and Telecommunications Abstract The deep integration of communication and intelligence is driving a fundamental transformation in next-generation wireless systems. Traditional networks face significant challenges in scalability, adaptability, and flexibility, falling to meet the demands […]
Abstract The brain is a highly nonlinear complex network system supporting diverse cognitive abilities. The locally segregated and globally integrated processing are the two basic foundations of cognition. However, how the brain organises the effective processing of neural information at both local and global scales, so as to support diverse cognitive tasks, is not well […]
Zoom Link: https://hku.zoom.us/j/8957840635?pwd=jB4IyfmX0hTbEjn9W0LVEs31VhDw0e.1&omn=97635631185 Abstract Electrophysiological signals provide essential insights into health, emotional responses, and physical performance, making their reliable collection critical for healthcare and research. However, motion artifacts, which cause signal distortion and compromise quality, remain a significant challenge. In this study, we introduce a laser-assisted interface welding (LIW) technique to avoid interface failure within […]
由香港大學主辦、香港大學電機電子工程系承辦、香港大學工程學院協辦，名為「網絡與信息技術學科建設及人才培養高端論壇」活動，旨在匯聚海內外頂尖學者，共議網安學科發展路徑，探索創新人才培養新模式。主論壇將提供高視野、前瞻性的學術引導，而方班研討廳則側重於創新表達與批判性思維的實踐鍛煉，兩者結合，將為您的科研成長帶來顯著助益。主論壇日期：9月26日（星期五）時間：14:15-17:00地點：香港大學黃麗松講堂（Rayson Huang Theatre）語言：普通話 特邀中國工程院方濱興院士、鄭緯民院士、戴瓊海院士等多位權威專家，圍繞網絡與信息技術前沿趨勢、學科建設與人才生態發表主題演講。方班研討廳日期：9月27日（星期六）時間：08:30-12:00地點：香港大學圖書館附屬樓（Library Extension Building），房間LE2-3及LE5-9 語言：普通話 由方濱興院士親自參與指導，其他高校院士及教授現場參與，以「學生講、師生問、專家評」的深度翻轉課堂模式，開展跨校學術交流與思辨訓練。 主論壇日流程14:15 – 14:30簽到入場14:30 – 14:45香港大學副校長 致辭戴瓊海院士 致辭14:45 – 14:50合影14:50 – 15:45方濱興院士主題演講：人工智慧行為體保險箍15:45 – 15:50合影／休息15:50 – 16:40鄭緯民院士主題演講：關於人工智能大模型的三點考慮16:40 – 16:45電機電子工程系主任 閉幕致辭16:45 – 17:00茶歇交流，嘉賓合影
The Department of Electrical and Electronic Engineering (HKU-EEE) will hold a series of activities on the HKU Information Day on October 25, 2025 (Saturday). Join us for admissions talks, explore the Faculty of Engineering’s main exhibition, and engage in project demonstrations. Complete two missions at designated booth^ for a chance to win an exclusive gift! […]