As one of the most popular fields in artificial intelligence, deep neural network (DNN) is a promising approach to realize many AI tasks such as speech recognition, image classification and autonomous driving. At the same time, with advances in the technology of edge computing and internet of things, it is necessary to deploy pretrained DNN models at the edge of networks and on the terminal device...

Electromagnetic imaging technology with array sensors is used extensively to detect defects in industries where structural integrity and safety are critical, such as aerospace, high-speed railway, pressure vessels, energy facilities and precision manufacturing. SIST Assistant Professor Ye Chaofeng and his research group in the Precision Sensing and Intelligent Testing lab (PSIT) have designed two ...

Data storage is one of the fundamental systems in computer architecture. There are a variety of data structures to implement data indexing at a high speed in a computer system. B+-Tree, a data structure designed for disks and single-core processors proposed in the 1970s, is currently still indispensable in many databases and file systems. One of the promising data storage devices to transplant and...

The Center for Intelligent Power and Energy Systems (CiPES) of SIST is a subdivided research group focusing mainly on the study of electric power and energy. It studies topics including power generation, transmission/distribution, storage and utilization, and aims to propose reliable, efficient, low-carbon and intelligent power solutions for the sustainable development of domestic energy. Recently...

Ambient energy harvesting technology provides the most promising energy solution for future battery-less, ubiquitous, and maintenance-free Internet of Things (IoT) devices. Among all types of ambient energy sources, mechanical kinetic energy can be better associated with human and machine movements, as there is plenty of motion information combined with the mechanical movements of parts. The resea...

Professor Shao Ziyu’s research group of SIST made an important advance in intelligent networking, addressing the following challenge: “How to systematically design effective predictive scheduling algorithms for intelligent networks?” Their results, of high importance to recent software-defined networking (SDN) systems, were published in an article entitled “Predictive Switch-Controller Associa...

In the past two years, two novel model reduction methods for high-dimensional stochastic computational models were proposed by the Visual and Data Intelligence Center (VDI Center) of SIST. The first method, proposed in the article entitled “Rank adaptive tensor recovery-based model reduction for partial differential equations with high-dimensional random inputs”, provided a new systematic comput...

Recently, the Vision and Data Intelligence Center (VDI) of SIST published 4 papers at the European Conference on Computer Vision (ECCV, 2020) and 2 papers at the ACM International Conference on Multimedia (ACM MM, 2020). ECCV is one of the top three computer vision conferences, focusing on cutting-edge research in computer vision and ACM MM is also a class A conference recommended by the China Com...

Professor Song Fu’s research group from the School of Information Science and Technology (SIST) has recently published an article entitled “A Hybrid Approach to Formal Verification of Higher-Order Masked Arithmetic Programs”. This article was published in ACM Transactions on Software Engineering Methodology (ACM TOSEM), one of the two most prestigious software engineering journal...

Prof. Shi Yuanming’s research group and collaborators from HKUST and HKPolyU have surveyed the key techniques for improving the communication efficiency of performing artificial intelligence (AI) training and inference tasks at network edges, a.k.a., edge AI.  Edge AI is envisioned to promote the paradigm shift of futuristic 6G networks from “connected things” to “connected inte...

Since the beginning of 2020, a total of 29 academic papers from the Visual & Data Intelligence Center of SIST have been accepted by top-tier international conferences, covering research hotspots including computer vision, machine learning, natural language processing, computer graphics, and multi-agent systems. Those research outcomes address a variety of real-world problems in digital enterta...

Li Rui, a senior undergraduate student from the research group of Professor Ha Yajun, had a paper accepted by ACM / IEEE Design Automation Conference (DAC 2020) (Paper title: DVFS-Based Scrubbing Scheduling for Reliability Maximization on Parallel Tasks in SRAM-based FPGAs) as the first author. This is Li Rui’s second scientific paper accepted by international conferences in this year. His first ...

Digital electronic computer is the driving force that fuels our modern civilization. Modern computation has allowed the development of ever-increasing computing power by size scaling following the Moore’s Law. However, since the size scaling of CMOS technology has shown evidence of approaching a limit due to increased power density at small technology nodes, conventional digital computation using...

Recently, Professor Liu Yu’s group from Center for Intelligent Power and Energy Systems (CiPES) of SIST, proposed two accurate fault location methods on long and complex transmission lines. These two papers were published online in IEEE Transactions on Power Delivery, the best peer-reviewed journal in the field of power system protection, transmission and distribution. High-voltage long...