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Discover the future of sustainable technology with Professor Feng Gao at our upcoming lecture on Solar Cells and LEDs. Professor Gao will highlight how sustainability drives the development of next-generation […]
Abstract Recent advances in artificial intelligence (AI), especially in large language models (LLMs), have dramatically increased model sizes and computational demands, significantly straining computing system capabilities. This issue is particularly […]
Zoom Link: https://hku.zoom.us/j/97430126742?pwd=ou6CUPNMjhlrmRbwUKRa8aTHi6PjYX.1 Meeting ID: 974 3012 6742 Password: 967270 Abstract The human brain operates as a sophisticated spiking neural network (SNN), capable of learning multimodal signals in a zero-shot […]
Zoom Link: https://hku.zoom.us/j/99273671426?pwd=bm3VeyFWXnLAlUIBBXJDGAmMfzoKJ5.1 Abstract 6G mobile networks aim to realize ubiquitous intelligence at the network edge via distributed learning, sensing, and data analytics. Their common operation is to aggregate high-dimensional […]
Abstract As the intelligence of everyday smart devices continues to evolve, they can already monitor basic health behaviors such as physical activities and heart rates. The vision of an intelligent […]
Abstract Terahertz (THz) imaging technology is growing rapidly due to its potential applications in material exploration, non-destructive evaluation, industrial inspection, and bioinformatics. However, the practical feasibility of THz imaging systems […]
Zoom Link: https://hku.zoom.us/j/91034052349 Abstract With ultrahigh photostability, nanoscale size and good biocompatibility, fluorescent nanodiamonds containing nitrogen-vacancy (NV) centers are promising nanoscale markers. The prevailing method of using this marker—quantum sensing—demonstrates […]
Seminar (1): Navigating Excellence in Transnational Engineering Education: The QMUL-BUPT Joint Programme Experience Speaker: Prof. Michael CHAI, Professor of Internet of Things, Queen Mary University of London Abstract: As global demand […]
Zoom Link: https://hku.zoom.us/j/9174230511?omn=91474809260 Abstract In recent years, deep neural networks (DNNs) have achieved remarkable success across a wide range of applications, especially for low-level image processing. However, many of these […]
Abstract Intelligent reflecting surface (IRS) is envisioned to be a promising 6G technology which changes wireless communications from “adapting to wireless channels” to “changing wireless channels”. However, current IRS configuration […]
Abstract The forthcoming sixth generation (6G) wireless networks will be one of the galvanizing technologies for future advanced and autonomous transportation systems. 6G wireless will provide communication services with stringent […]
Zoom Link: https://hku.zoom.us/j/92624222498?pwd=5ailfpKH0tFiWDTrt1FUwTOg4bqMnu.1 Abstract Green hydrogen or renewable hydrogen is promising cause it has no carbon emissions in production process, which is water electrolysis with electricity from renewables. Although grids […]
🚀 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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]