Symmetric Diffusers: Learning Discrete Diffusion on Finite Symmetric Groups
We regret to inform you that the event has been cancelled and will be postponed to a later date. Abstract Finite symmetric groups Sn are essential in fields such as […]
We regret to inform you that the event has been cancelled and will be postponed to a later date. Abstract Finite symmetric groups Sn are essential in fields such as […]
Zoom Link: https://hku.zoom.us/j/93486553339 Abstract The emergence of distributed Mixture-of-Experts (DMoE) systems, which deploy expert models at edge nodes, offers a pathway to achieving connected intelligence in sixth-generation (6G) mobile networks […]
Zoom Link: https://hku.zoom.us/j/92719085356?pwd=09aQ3vjvg9bhXcObBYxjNtj4UVx5V4.1 Abstract Mixed-chloride/bromide perovskite nanocrystals (PeNCs) are known for their advantages in pure blue emission, but often suffer from halogen segregation. This study investigates the ligand exchange process […]
Abstract 3D Dynamic Meshes can deliver engaging experiences in various applications, but the storage and transmission demands associated with these data structures can be prohibitive. We address this challenge with […]
Zoom Link: https://hku.zoom.us/j/95380440070 Abstract Complex-valued convolution neural networks (CVCNNs) have been recently applied for modulation recognition (MR), due to its ability to capture the relationship between the real and imaginary […]
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 […]
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 […]
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 […]
🚀 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 […]
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 […]
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. […]
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 […]