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...

Magnetic topological insulators (MTIs), which integrate both topology and magnetism within one system, have greatly broadened the research scope of quantum materials and spintronics. In contrast to the traditional magnetic atom doping method, MTI heterostructures, which can be realized by the combination of a topological insulator and a high-temperature magnetic material, have unique advantages. I...

Recently, the paper acceptance results of the 19th International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2020) and the 24th European Conference on Artificial Intelligence (ECAI-2020) have been announced. Five papers from Professor Zhao Dengji's research group of SIST were accepted. It is worth mentioning that the first authors of the accepted papers are n...

DREAM 2019 Challenge organizers recently announced competition and the ShanghaiTech team from SIST named “SingleCellLand” won the Third Place (out of 291 teams worldwide) in the first sub-challenge. The team was guided by Professor Zheng Jie, the director of SIST’s Smart Medical Information Research Center (SMIRC). Other team members include Professor Zheng’s master’s degree students Dai Xinn...

Recently, Professor Shao Ziyu’s research group made a breakthrough in fundamental theory of networking, solving an open problem: how to systematically design effective large-scale network topology? Their article “Systematic Topology Design for Large-Scale Networks: A Unified Framework” was accepted by IEEE International Conference on Computer Communications (IEEE INFOCOM 2020).In the field of n...