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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
HISLab of SIST Published an Important Review Paper in the Field of Deep Learning for Photoacoustic Imaging
The Hybrid Imaging System Laboratory (HISLab) from the Smart Medical Information Research Center published a manuscript entitled “Review of deep learning for photoacoustic imaging” based on all the research using deep learning to solve various problems in photoacoustic imaging in recent years. This article has been accepted by the top journal Photoacoustics(CAS tier-1, IF: 5.870).Photoacoustic (PA) imaging combines the advantages of high optical imaging contrast and deep penetration depth of ult
2020-11-30
News
Prof. Liu Xiaopei's research team (FLARE Lab) published multiple important papers in high-performance fluid simulation and visualization
In 2020, Prof. Liu Xiaopeis research team from Vision and Data Intelligence Center of our school published five important papers in ACM SIGGRAPH 2020, ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, respectively, which are top-tier conference and journals in computer graphics and visualization (all are CCF-A conference and journals). A series of key problems in high-performance fluid simulation and visualization were solved successfully, which lays an impo
2020-11-26
News
SIST Published Multiple Papers at ECCV and ACM MM, 2020
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 Computer Society.Professor He Xuming’s research group proposed a novel prototype-based few-shot learnin
2020-11-06
News
SIST Researchers Make Significant Progress in the Verification of Side-Channel Resistance of Higher-Order Cryptographic Programs
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 inACM Transactions on Software Engineering Methodology(ACM TOSEM),one of the two most prestigious software engineering journals in the world(the other one isIEEE Transactions on Software Engineeringwith IF 6.116, the fourth highest ranking among a
2020-11-04
News
Communication-Efficient Edge AI: Algorithms and Systems
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 intelligence”. The exciting results have recently been published inIEEE Communications Surveys and Tutorials, entitled “Commun
2020-09-02
News
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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
HISLab of SIST Published an Important Review Paper in the Field of Deep Learning for Photoacoustic Imaging
The Hybrid Imaging System Laboratory (HISLab) from the Smart Medical Information Research Center published a manuscript entitled “Review of deep learning for photoacoustic imaging” based on all the research using deep learning to solve various problems in photoacoustic imaging in recent years. This article has been accepted by the top journal Photoacoustics(CAS tier-1, IF: 5.870).Photoacoustic (PA) imaging combines the advantages of high optical imaging contrast and deep penetration depth of ult
2020-11-30
News
Prof. Liu Xiaopei's research team (FLARE Lab) published multiple important papers in high-performance fluid simulation and visualization
In 2020, Prof. Liu Xiaopeis research team from Vision and Data Intelligence Center of our school published five important papers in ACM SIGGRAPH 2020, ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, respectively, which are top-tier conference and journals in computer graphics and visualization (all are CCF-A conference and journals). A series of key problems in high-performance fluid simulation and visualization were solved successfully, which lays an impo
2020-11-26
News
SIST Published Multiple Papers at ECCV and ACM MM, 2020
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 Computer Society.Professor He Xuming’s research group proposed a novel prototype-based few-shot learnin
2020-11-06
News
SIST Researchers Make Significant Progress in the Verification of Side-Channel Resistance of Higher-Order Cryptographic Programs
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 inACM Transactions on Software Engineering Methodology(ACM TOSEM),one of the two most prestigious software engineering journals in the world(the other one isIEEE Transactions on Software Engineeringwith IF 6.116, the fourth highest ranking among a
2020-11-04
News
Communication-Efficient Edge AI: Algorithms and Systems
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 intelligence”. The exciting results have recently been published inIEEE Communications Surveys and Tutorials, entitled “Commun
2020-09-02
News
per page
8
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total
214
records
firstpage
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nextpage>>
endpage
PageNumber
8
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27
jumpto
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