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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 […]
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 […]
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 […]
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 […]
Abstract Chemical contrast agents have long been integral to clinical diagnostic imaging. However, growing concerns about their safety, cost, and environmental impact have prompted the need for alternative solutions. In this talk, Dr. Shuo Li will present his pioneering work on AI contrast-enhanced imaging—a transformative approach that leverages cutting-edge machine learning techniques to synthesize contrast-enhanced […]
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! […]
Abstract Perception and understanding of the physical world are fundamental to a wide range of applications, from autonomous systems to smart healthcare and human-computer interaction. However, traditional vision-based sensing (e.g., cameras and LiDAR) struggles in adverse weather conditions and occlusions. In this talk, I will discuss how radio frequency (RF) signals provide a powerful alternative […]
Abstract This talk explores the emerging paradigm of AI-empowered mobile edge computing (MEC), where edge nodes jointly perform wireless communication, computation, and sensing close to users. By colocating learning with connectivity and sharing hardware and spectrum, MEC cuts latency and energy while enabling advanced, privacy-aware services at scale. We focus on three pillars and demonstrate […]
Abstract For decades, the (sub-)terahertz (THz) frequency band (often defined as 300 GHz to 3 THz or broader, 100 GHz – 10 THz) had been primarily explored in the context of radar, imaging, and spectroscopy, where multi-gigahertz (GHz) and even THz-wide channels and the properties of terahertz photons offered attractive target accuracy, resolution, and classification […]
Abstract In this talk, we will introduce two innovative types of 3D intelligent metasurfaces: Stacked Intelligent Metasurfaces (SIM) and Flexible Intelligent Metasurfaces (FIM). We will explore their exciting applications in wireless communication and sensing systems. Specifically, SIM is a groundbreaking computing architecture that enables joint signal processing and communication in the electromagnetic (EM) domain. A […]
MSc(Eng)ICES is a new programme jointly offered by the Department of Electrical & Electronic Engineering (EEE), Faculty of Engineering, The University of Hong Kong (HKU) and the Center for Advanced Semiconductors and Integrated Circuits. Prof. Yuhao ZHANG and Prof. Han WANG, the Programme Directors of the Master of Science in Integrated Circuits and Electronic Systems […]
About the Talk The talk is co-organised by Susquehanna and Prof. Kenneth Kin-Yip WONG from the Department of Electrical and Electronic Engineering at The University of Hong Kong. This is a unique opportunity to explore careers in quant trading, hear firsthand from an experienced researcher, and connect with industry professionals. The speaker, Dr. Davor OBRADOVIC, […]
Abstract Arousal fluctuation is known to contribute to fMRI based functional dynamics, but its detailed mechanism is largely unclear. Combining invasive neural recording (electrophysiological recording and fiber photometry) and manipulation (optogenetics and chemogenetics) techniques with awake, unanesthetized animal fMRI provides unique opportunities to unravel the arousal contribution. Highly optimized unanesthetized mouse and marmoset fMRI setups […]
The event time has been revised to start at 2:00 pm. Abstract Integrated Sensing and Communications (ISAC) represents a paradigm shift from conventional communication-only networks toward systems that natively integrate radar-like sensing capabilities. It has become a foundational technology for next-generation wireless systems, including Wi-Fi and 6G networks. Bi-static sensing, where a sensing receiver exploits […]