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Entropy-SIST Yearbook, 2020
Entropy-SIST Yearbook, 2020.pdf
2021-07-02
News
SIST researchers make progress in imaging techniques with applications in cancer therapeutics and wireless communication
Assistant Professor Wang Xiong’s research group from Smart Medical Information Research Center at SIST is focusing on electromagnetic acoustic hybrid imaging, focused microwave and ultrasound hyperthermia for cancer, and research on electromagnetic wave and acoustic wave metasurfaces. Recently, the group has made a series of advances in the field of electromagnetic acoustic imaging.1. Preclinical prototype of focused microwave hyperthermia based on compressive thermoacoustic tomographyNew non-in
2021-05-08
News
Prof. Song Fu’s Research Group Makes Significant Progress in AI Security
As a new programming paradigm, deep learning has expanded its application to many real-world problems. At the same time, deep learning based software are found to be vulnerable to adversarial attacks, so it is an important and arduous task to study the attack and defense against adversarial examples. Professor Song Fu from SIST and his collaborators have conductedlong-term research in this field and made significant progress.Professor Song Fu’s research group from the School of Information Scien
2021-05-07
News
SIST Xuming He’s Research Group Has Obtained Many Important Achievements In The Field Of Computer Vision And Machine Learning
Professor HeXumings research group has made important progress in the fields of computer vision and machine learning.Four papers are accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021).CVPR is an annual IEEE international academic conference and one of the three top academic conferences in the field of computer vision. It enjoys a high reputation in the world. According to the statistics of Google Scholar Metrics as of June last year, CVPR ranks fifth in the compre
2021-05-06
News
SIST Xu Lan’s Research Group published some important achievements in the field of computer vision
Prof. XuLan’s research group in VDI Center targets top-tier research at the intersection of computer vision, computer graphics and computational photography. The group is committed to the research fields of human digital twins, light field reconstruction, artificial reality and artificial intelligence for digital entertainment. The research mission is to enable motion capture and perceptual understanding of human-centric dynamic scenes. Recently, the research group published two papers at the IE
2021-05-05
News
Prof. Gao Shenghua’s research group at SIST published some important achievements in the field of computer vision
Prof. Gao Shenghua’s research group published four papers at IEEE Conference on Computer Vision and Pattern Recognition (CVPR2021), showing their recent achievementsin related fields. CVPR is an annual academic conference hosted by IEEE, and one of the three top academic conferences in the field of computer vision(CVPR, ICCV, ECCV), and enjoys a high reputation in the world. According to Google Scholar Metrics, the top conference CVPR ranks fifthamong all conferences and journals included by Goo
2021-05-04
News
SIST FuMinfan’ s Research Group Proposes A Novel Architecture for Wireless Fast Charger
SIST Assistant Professor Fu Minfan’sgroupdeveloped a novel configuration for next-generation wireless fast chargers. In the prior chargers, the redundancy of power conversation stages for isolation and modulation would naturally lead to low efficiency. This issue is well addressed in the proposed two-stage configuration and the efficiency is enhanced dramatically. Their achievement is recently published inIEEE Journal of Emerging and Selected Topics in Industrial Electronics in an article entitl
2021-04-01
News
Prof. Wu Tao’s research group at SIST publishes some important achievements in the field of Micro Electro Mechanical Systems (MEMS)
Prof. Wu Tao’s research group at SIST is committed to developing Micro Electro Mechanical Systems (MEMS) devices using advanced sensing materials and micro/nano technology. Their research interests mainly include the coupling mechanism and sensing application of multiferroic materials, piezoelectric acoustic micro/nano devices and ICinterface circuits, and magnetoelectric sensors. Recently, the group published four papers on RF filters, acoustic transducer PMUT and magnetoelectric sensor based o
2021-04-01
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Entropy-SIST Yearbook, 2020
Entropy-SIST Yearbook, 2020.pdf
2021-07-02
News
SIST researchers make progress in imaging techniques with applications in cancer therapeutics and wireless communication
Assistant Professor Wang Xiong’s research group from Smart Medical Information Research Center at SIST is focusing on electromagnetic acoustic hybrid imaging, focused microwave and ultrasound hyperthermia for cancer, and research on electromagnetic wave and acoustic wave metasurfaces. Recently, the group has made a series of advances in the field of electromagnetic acoustic imaging.1. Preclinical prototype of focused microwave hyperthermia based on compressive thermoacoustic tomographyNew non-in
2021-05-08
News
Prof. Song Fu’s Research Group Makes Significant Progress in AI Security
As a new programming paradigm, deep learning has expanded its application to many real-world problems. At the same time, deep learning based software are found to be vulnerable to adversarial attacks, so it is an important and arduous task to study the attack and defense against adversarial examples. Professor Song Fu from SIST and his collaborators have conductedlong-term research in this field and made significant progress.Professor Song Fu’s research group from the School of Information Scien
2021-05-07
News
SIST Xuming He’s Research Group Has Obtained Many Important Achievements In The Field Of Computer Vision And Machine Learning
Professor HeXumings research group has made important progress in the fields of computer vision and machine learning.Four papers are accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021).CVPR is an annual IEEE international academic conference and one of the three top academic conferences in the field of computer vision. It enjoys a high reputation in the world. According to the statistics of Google Scholar Metrics as of June last year, CVPR ranks fifth in the compre
2021-05-06
News
SIST Xu Lan’s Research Group published some important achievements in the field of computer vision
Prof. XuLan’s research group in VDI Center targets top-tier research at the intersection of computer vision, computer graphics and computational photography. The group is committed to the research fields of human digital twins, light field reconstruction, artificial reality and artificial intelligence for digital entertainment. The research mission is to enable motion capture and perceptual understanding of human-centric dynamic scenes. Recently, the research group published two papers at the IE
2021-05-05
News
Prof. Gao Shenghua’s research group at SIST published some important achievements in the field of computer vision
Prof. Gao Shenghua’s research group published four papers at IEEE Conference on Computer Vision and Pattern Recognition (CVPR2021), showing their recent achievementsin related fields. CVPR is an annual academic conference hosted by IEEE, and one of the three top academic conferences in the field of computer vision(CVPR, ICCV, ECCV), and enjoys a high reputation in the world. According to Google Scholar Metrics, the top conference CVPR ranks fifthamong all conferences and journals included by Goo
2021-05-04
News
SIST FuMinfan’ s Research Group Proposes A Novel Architecture for Wireless Fast Charger
SIST Assistant Professor Fu Minfan’sgroupdeveloped a novel configuration for next-generation wireless fast chargers. In the prior chargers, the redundancy of power conversation stages for isolation and modulation would naturally lead to low efficiency. This issue is well addressed in the proposed two-stage configuration and the efficiency is enhanced dramatically. Their achievement is recently published inIEEE Journal of Emerging and Selected Topics in Industrial Electronics in an article entitl
2021-04-01
News
Prof. Wu Tao’s research group at SIST publishes some important achievements in the field of Micro Electro Mechanical Systems (MEMS)
Prof. Wu Tao’s research group at SIST is committed to developing Micro Electro Mechanical Systems (MEMS) devices using advanced sensing materials and micro/nano technology. Their research interests mainly include the coupling mechanism and sensing application of multiferroic materials, piezoelectric acoustic micro/nano devices and ICinterface circuits, and magnetoelectric sensors. Recently, the group published four papers on RF filters, acoustic transducer PMUT and magnetoelectric sensor based o
2021-04-01
News
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8
records
total
178
records
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<<previouspage
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endpage
PageNumber
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23
jumpto
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