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Abstract Recently deep learning methods have gained groundbreaking success in many areas, including autonomous driving and 3D object detection. Powerful neural networks are proposed and yield human-comparable ability after being […]
Abstract Combinatorial optimization problems are prevalent in various fields, but obtaining exact solutions remains challenging due to the combinatorial explosion with increasing problem size. Special-purpose hardware such as Ising machines, […]
Microneedles (MNs) are an emerging platform for transdermal applications including drug delivery, insulin delivery, vaccination, biosensing, disease diagnosis, and cosmeceutical industry. Their advantages lie in their easy-to-use, pain-free, minimally invasive, […]
Abstract AI models significantly impact our daily lives, but their high performance brings the challenge of model complexity. Deploying these models on edge devices poses additional challenges, including power consumption, […]
Abstract The past decade of escalated development in deep learning (DL) has achieved unprecedented success in engineering fields. In particular, deep neural networks (DNNs) via deep learning have achieved remarkable […]
Abstract Light scattering is a fundamental optical process that accounts for many optical phenomena and applications. This process comes from the interaction between light and scattering particles, or scatters. It […]
Abstract In the past decades, with the rapidly increasing data, AI technology, including neural network (NN) shows more and more powerful ability. However, the development of electronic hardware meets a […]
Abstract: Blood analysis is an indispensable clinical tool for human health and diseases. Specifically, the overarching challenge in characterization of blood, notably immune cells, is to identify the cellular phenotypes […]
Abstract: Financial portfolio management (PM) is a very important topic in computational finance, with its primary objective of achieving higher returns while reducing investment risks through dynamically allocating capital to […]
Abstract Layered two-dimensional (2D) materials interact primarily via van der Waals bonding, which has created new opportunities for heterostructures that are not constrained by epitaxial lattice matching requirements. However, since […]
Abstract Despite the long and crucial role of traditional solid-state physics for current silicon-based technologies, next-generation neuromorphic, non-volatile memory, and energy devices that are key components in the era of […]
Abstract The need to shuttle data between processing and memory units has been a key performance bottleneck for conventional hardware implementations of artificial neural networks. Analog in-memory computing (AIMC) emerges […]
The Faculty of Engineering, The University of Hong Kong is organizing the "Workshop on Frontiers of Legged Robotics 2024". The workshop will be held on May 23, 2024 (Thursday) from […]
Abstract As the penetration of variable renewable generation increases in power systems, issues such as grid stiffness, larger frequency deviations, and grid stability are becoming more relevant. In this context, […]
Abstract Position-related services and applications appear everywhere in our daily lives and precise positioning is indispensable. For non-cooperative localization of an object by time difference of arrival (TDOA) such as […]
Meeting ID: 939 1846 8563 Abstract Optical nanostructures and two-dimensional materials (2DM) have optical properties that are widely tunable via several approaches, such as heating, electrostatic gating, and interfacial engineering such […]
Meeting ID:937 8072 8049 Abstract Photonics technology has become indispensable in communication, imaging, sensing, metrology, and more recently, in signal processing and computation. These advancements are made possible through optical […]
Abstract Fluid antenna system (FAS) represents shape-flexible position-flexible antenna technologies for wireless communications and has recently emerged as a new degree of freedom for wireless communication design and optimization. The […]
Abstract The widespread use of power electronic converters in renewable energy resources and flexible ac or dc transmission systems is profoundly changing dynamics and control of power systems. These converter-based resources […]
Organizer Imaging Systems Laboratory, Department of Electrical and Electronic Engineering, The University of Hong Kong Partners Department of Food Science and Nutrition, The Hong Kong Polytechnic University School of Energy […]