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Multiple important papers by SIST published in the mainstream journals in the area of power and energy
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, CiPES published three papers addressing topics in Internet of Things (IoT) energy harvesting, powe
2021-01-11
News
CAS Academician Jiang Hualiang gave a seminar at SIST, ShanghaiTech University on drug discovery and development based on artificial intelligence
On December 23, 2020, School of Information Science and Technology (SIST) of ShanghaiTech University invited Professor Jiang Hualiang, the Former Director of the Shanghai Institute of Materia Medica, Chinese Academy of Sciences (CAS), Distinguished Adjunct Professor of the Shanghai Institute for Advanced Immunochemical Studies (SIAIS) of ShanghaiTech, and the Academician of the CAS, to give a seminar entitled Drug Discovery and Development based on Artificial Intelligence. The seminar was hosted
2021-01-08
News
The METAL group of SIST proposed a new kinetic energy harvesting circuit design
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 research on kinetic energy harvesting and its applications in future battery-less IoT devices has attract
2021-01-08
News
Prof. Laurent Kneip’s Group Proposes a Novel Algorithm in Globally-optimal Event Camera Motion Estimation
ShanghaiTech Automation and Robotics Center(STAR Center) of SIST under the direction of Professor Laurent Kneip recently proposed a novel, globally optimal algorithm that can be applied to a variety of motion estimation problems of event cameras and verified by experiments. The algorithm is based on the branch and bound optimization technique, and the accuracy of the algorithm is one order of magnitude higher than that of local optimization methods. With the title of globally optimal event camer
2021-01-01
News
Prof. Tu Kewei’s Research Group Make Progress in Natural Language Processing
Recently, Dr. Kewei Tus research group at the Vision and Data Intelligence Center of the School of Information Science and Technology, ShanghaiTech University published three papers at the main conference of EMNLP 2020, as well as four papers at the extended paper collection EMNLP Findings. Empirical Methods in Natural Language Processing (EMNLP) is one of the top three conferences (ACL, EMNLP and NAACL) in the field of natural language processing. It enjoys a high international reputation and i
2020-12-31
News
Research group made an important advance in the scheduling mechanism of intelligent networks
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 Association and Control Devolution for SDN Systems” which was accepted by theIEEE/ACM Transactions on Networkin
2020-12-25
News
Highly Efficient Electric-Field Control of Giant Rashba Spin-Orbit Coupling in Lattice-Matched InSb/CdTe Heterostructures
The manipulation of spin-orbit coupling (SOC) in solid-state materials has led to great success in creating topological insulators/semi-metals and realizing various spin-orbit effects (e.g., spin Hall effect and spin-orbit torque) which offer enormous opportunities for low-power spintronics applications. In order to further broaden the in-depth scope of this new spin-orbitronics research field, new breakthroughs may emerge by incorporating large SOC materials into the heterostructure/superlattic
2020-12-21
News
SIST Makes Progress in Model Reduction for High-Dimensional Computational Models
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 computational approach for a major problem in data science, which was to recover high order tensors without
2020-12-11
News
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Multiple important papers by SIST published in the mainstream journals in the area of power and energy
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, CiPES published three papers addressing topics in Internet of Things (IoT) energy harvesting, powe
2021-01-11
News
CAS Academician Jiang Hualiang gave a seminar at SIST, ShanghaiTech University on drug discovery and development based on artificial intelligence
On December 23, 2020, School of Information Science and Technology (SIST) of ShanghaiTech University invited Professor Jiang Hualiang, the Former Director of the Shanghai Institute of Materia Medica, Chinese Academy of Sciences (CAS), Distinguished Adjunct Professor of the Shanghai Institute for Advanced Immunochemical Studies (SIAIS) of ShanghaiTech, and the Academician of the CAS, to give a seminar entitled Drug Discovery and Development based on Artificial Intelligence. The seminar was hosted
2021-01-08
News
The METAL group of SIST proposed a new kinetic energy harvesting circuit design
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 research on kinetic energy harvesting and its applications in future battery-less IoT devices has attract
2021-01-08
News
Prof. Laurent Kneip’s Group Proposes a Novel Algorithm in Globally-optimal Event Camera Motion Estimation
ShanghaiTech Automation and Robotics Center(STAR Center) of SIST under the direction of Professor Laurent Kneip recently proposed a novel, globally optimal algorithm that can be applied to a variety of motion estimation problems of event cameras and verified by experiments. The algorithm is based on the branch and bound optimization technique, and the accuracy of the algorithm is one order of magnitude higher than that of local optimization methods. With the title of globally optimal event camer
2021-01-01
News
Prof. Tu Kewei’s Research Group Make Progress in Natural Language Processing
Recently, Dr. Kewei Tus research group at the Vision and Data Intelligence Center of the School of Information Science and Technology, ShanghaiTech University published three papers at the main conference of EMNLP 2020, as well as four papers at the extended paper collection EMNLP Findings. Empirical Methods in Natural Language Processing (EMNLP) is one of the top three conferences (ACL, EMNLP and NAACL) in the field of natural language processing. It enjoys a high international reputation and i
2020-12-31
News
Research group made an important advance in the scheduling mechanism of intelligent networks
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 Association and Control Devolution for SDN Systems” which was accepted by theIEEE/ACM Transactions on Networkin
2020-12-25
News
Highly Efficient Electric-Field Control of Giant Rashba Spin-Orbit Coupling in Lattice-Matched InSb/CdTe Heterostructures
The manipulation of spin-orbit coupling (SOC) in solid-state materials has led to great success in creating topological insulators/semi-metals and realizing various spin-orbit effects (e.g., spin Hall effect and spin-orbit torque) which offer enormous opportunities for low-power spintronics applications. In order to further broaden the in-depth scope of this new spin-orbitronics research field, new breakthroughs may emerge by incorporating large SOC materials into the heterostructure/superlattic
2020-12-21
News
SIST Makes Progress in Model Reduction for High-Dimensional Computational Models
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 computational approach for a major problem in data science, which was to recover high order tensors without
2020-12-11
News
per page
8
records
total
172
records
firstpage
<<previouspage
nextpage>>
endpage
PageNumber
2
/
22
jumpto
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