• New algorithm speeds up 3D ultrasound spine imaging
    With the advantages of non-radiation, non-invasive and flexible operation, the 3D ultrasound imaging technique has been greatly refined and applied in medical imaging and diagnosis. In general, the 3D ultrasound imaging system is comprised of a conventional ultrasound probe and a location sensor, which can generate 2D transverse images and the corresponding spatial information needed for the ...
    2021-12-02
  • SIST professor honored with 2021 IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award
    Recently, SIST Associate Professor Shi Yuanming was honored with the “2021 IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award”. This award is provided by the IEEE Communications Society to reward young researchers under age 35 who make outstanding achievements. This award is the highest honor for young researchers in the information communication field in Asia-Pacific.Prof. Shi and his ...
    2021-10-18
  • SIST researchers make important progress in power conversion technology
    The Power Electronics And Renewable energies Laboratory (PEARL) at SIST is committed to research in modeling, simulating, prototyping, and validating power electronics systems in the applications of electrified transportation, renewable energy systems, internet of things, data center and other emerging fields. The lab is under the direction of Associate Professor Wang Haoyu, and develops more effi...
    2021-10-13
  • SIST researchers propose a new Lithium-ion battery balancing interface
    Recently, Associate Professor Wang Haoyu’s research group in the Center for Intelligent Power and Energy Systems (CiPES) of SIST has made important progress in the field of electric vehicle (EV) battery management systems. The group has proposed a lithium battery equalization system based on an LCC resonant circuit. The equalization system can realize open-loop constant current equalization from ...
    2021-10-13
  • SIST Gao Shenghua’s research group makes progress in image anomaly detection
    Recently, Associate Professor Gao Shenghua's research group, together with their collaborators, made important progress in image anomaly detection, and published a paper entitled “Memorizing Structure-Texture Correspondence for Image Anomaly Detection” in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), a representative academic journal in the field of machine lea...
    2021-09-24
  • Congratulation to Prof. Ha Yajun on being appointed as the Editor-in-Chief of IEEE Transactions on Circuits and Systems II:Express Briefs
    Recently, Professor Ha Yajun from SIST was appointed by IEEE Circuits and Systems Society (CASS) as the Editor-in-Chief of IEEE Transactions on Circuits and Systems II:Express Briefs, with a two-year term starting from January 2022. Prof. Ha is the first scholar from Mainland China to be appointed as this journal’s Editor-in-Chief since its founding in 1943.Prof. Ha joined SIST as a fulltim...
    2021-09-13
  • SIST Zheng Jie’s lab proposes a novel AI model for the discovery of drug targets
    SIST Associate Professor Zheng Jie, together with his collaborators, proposed a novel AI model named KG4SL, based on knowledge graph (KG) and graph neural network, and made a breakthrough in the prediction of genetic connections of Synthetic Lethality (SL). It can accelerate the discovery of anti-cancer drug targets and advance the development of AI pharmaceutical technology. This work was ac...
    2021-08-27
  • SIST Tu Kewei’s research group makes progress in natural language processing
    Recently, Assistant Professor Tu Kewei's research group from the Vision and Data Intelligence Center of SIST has had 8 papers accepted by the 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021) with 7 papers in the Main Conference and 1 paper in Findings of ACL. ACL is the top conference in the field of natural language processing (NLP) and one of the most important...
    2021-07-19
  • Prof. Xu Lan’s research group publishes important achievements in computer vision
    Prof. Xu Lan’s research group from the Visual & Data Intelligence (VDI) Center focuses on top-tier research at the intersection of computer vision, computer graphics and computational photography, with applications in human digital twin technology, light field reconstruction, artificial reality and artificial intelligence for digital entertainment. Recently, the group has published two papers...
    2021-05-28
  • Prof. Song Fu’s research group makes significant progress in AI security
    Deep learning has expanded its application to many real-world problems, but at the same time, it is found to be very vulnerable to some simple adversarial attacks. Though various defense mechanisms have been proposed to improve robustness of deep learning software, many of them are ineffective against adaptive attacks. Thus, it is an important and arduous task to study the attack and defense metho...
    2021-05-27
  • Prof. Gao Shenghua’s research group at SIST publishes important achievements in computer vision
    Prof. Gao Shenghua’s research group from the Visual & Data Intelligence Center focuses on using deep learning and sparse/low-rank models to explore the low-dimensional structure in huge high-dimensional data, and uses it to solve practical computer vision problems, including target recognition, action recognition, image or video generation, 3D reconstruction, etc. Recently the group published...
    2021-05-26
  • 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. Precl...
    2021-05-08
  • 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 IC  interface circuits, and magnetoelectric sensors. Rec...
    2021-04-01
  • SIST researchers make progress in IoT and fog-computing networks
    Recently, Assistant Professor Zhou Yong’s group in the SIST has made significant progress in the fields of IoT networks and fog-computing networks. Their achievements were published separately in two journals: (1) in IEEE Internet of Things Journal in an article entitled “Wireless-Powered Over-the-Air Computation in Intelligent Reflecting Surface-Aided IoT Networks”, and (2) in I...
    2021-03-24