Introduction to the Academy
2021·SIST
ShanghaiTech University’s School of Information Science and Technology (hereinafter referred to as “Information Academy”) is supported by the research platform of the Chinese Academy of Sciences, focusing on cutting-edge research areas such as artificial intelligence, chips (including computer architecture, circuits, and devices), virtual reality, big data, quantum communication and computing, cloud computing and edge computing, autonomous driving, electric vehicles, new energy, and intelligent medicine. The academy has seven major research centers: the Visual and Data Intelligence Center, Intelligent Network Center, Post-Moore Devices and Integrated Systems Center, Smart Power and Energy Systems Center, Automation and Robotics Center, Systems and Security Center, and Intelligent Medical Information Research Center.
Today, we continue to introduce the Visual and Data Intelligence Center.
Visual and Data Intelligence Center
The Visual and Data Intelligence Center (VDI Center) is committed to cutting-edge research in machine vision, big data, and artificial intelligence. The center has conducted in-depth research in computer vision, machine learning, computer graphics, computational imaging, natural language processing, game theory, and computational science, producing a large number of top academic achievements. At the same time, there are close collaborations and practical applications in industries such as the Internet, public security, intelligent manufacturing, medical imaging, and media entertainment.
Computer Vision
Computer Graphics
Artificial Intelligence
Big Data Algorithms and Optimization
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Some Achievements Display
Research Achievements/Research
Since 2018, nearly eighty CCF-Class A papers in the field of artificial intelligence have been published.
The average number of publications per person ranks among the top in domestic universities.
Honors/Awards
Yu Jingyi served as the program chair for CVPR 2021 (the first time in mainland China), program chair for ICCV 2025, IEEE Fellow.
Best student paper runner-up at IJCAI (Gao and Yu).
Best paper runner-up at ICCV (Laurent).
Cooperation/Cooperation
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Professor Showcase
Zhao Dengji
ZHAO DENGJI
Research Directions:
Artificial Intelligence, Algorithm Game Theory, Multi-Agent Systems, Shared Economy, Smart Cities
Enrollment Majors:
Computer Science, Mathematics, Economics
ShanghaiTech Multi-Agent Systems Laboratory
http://dengji-zhao.net
Educational Background:
2009-2012, Western Sydney University, Australia, University of Toulouse, France, Dual PhD in Computer Science
2006-2009, Dresden University of Technology, Germany, Technical University of Madrid, Spain, Dual Master’s in Computer Science
2002-2006, Macao University of Science and Technology, Bachelor’s in Computer Science
Work Experience:
2017.1-Present, ShanghaiTech University School of Information Science and Technology, Assistant Professor, Researcher, PhD Supervisor
2014.4-2017.1, University of Southampton, UK, Research Fellow
2013.4-2014.3, Kyushu University, Japan, Postdoctoral Fellow
Main Research Achievements and Personal Honors:
Pioneer in Economic Mechanism Research Based on Social Networks (Mechanism Design Powered by Social Interactions)
2020 ShanghaiTech School of Information Outstanding Academic Service Award
2012 Best PhD Thesis at the University of Toulouse
Head of ShanghaiTech-Yida Joint Laboratory
Visiting Scholar at Alibaba
DAI2021 Program Chair, PRICAI2021 Workshop Chair
International Cooperation:
Partner Institutions: Imperial College London, University of Southampton, Harvard University, etc.
PC and SPC of Top International AI Conferences: AAAI, AAMAS, ECAI, IJCAI, PRICAI
Reviewer for Top International AI Journals: AIJ, JAAMAS, TEAC
Member of the CCF Artificial Intelligence Committee, Secretary-General of the CCF AI Multi-Agent Systems Study Group
Student Training:
Currently supervising over ten master’s/PhD students
Guided several graduate students to publish papers in top international AI conferences AAAI, AAMAS, IJCAI, some of whom have met the requirements for PhD graduation after completing their master’s degree
Trained several recipients of university-level/national scholarships
International exchange: Outstanding graduate students can apply for overseas study visits at any time
Graduation destinations: abroad, Alibaba, Toutiao, Bilibili, Ctrip, etc.
More: http://dengji-zhao.net/smart/index.html
Qiu Yue
QIU YUE
Research Directions:
Scientific Computing, Matrix Computation, Uncertainty Quantification, Data Science, Computational Statistics
Enrollment Majors:
Applied Mathematics, Information and Computing Science, Statistics, Computer Science, Electrical Engineering, Communication, Automation, and other information-related majors
Educational Background:
2015, Delft University of Technology, Netherlands, Electrical, Mathematics and Computer Science, PhD
2011, Northeastern University, School of Information Science and Engineering, Master’s
2009, Northeastern University, School of Information Science and Engineering, Bachelor’s
Work Experience:
2019.10-Present, ShanghaiTech University School of Information, Assistant Professor
2015.12-2019.10, Max Planck Institute for Dynamics of Complex Technical Systems, Germany, Assistant Researcher
Main Research Achievements and Personal Honors:
Published nearly ten papers in top journals such as SIUQ, ETNA, NHM
European Embedded Control Institute (EECI) Travel Award
Selected for the Shanghai Overseas High-level Talent Introduction Program (2020)
International Cooperation:
Germany Max Planck Institute for Dynamics of Complex Technical Systems
Germany Technical University of Munich
Germany Chemnitz University of Technology
Netherlands Delft University of Technology
Netherlands Eindhoven University of Technology
UK University of Oxford
UK University of Edinburgh
Sweden Lund University
Sweden Uppsala University
USA Rice University
USA California Institute of Technology
Student Training:
An open and inclusive atmosphere, with a diverse educational cultural background, is a feature of the MIT Lab. The lab mainly focuses on solving key issues in computational science and engineering, data analysis, etc., using mathematics and computer science. We hope to gather multidisciplinary wisdom and the inspiration and passion of students from diverse backgrounds to explore the frontiers of unknown fields. The lab encourages students to actively participate in international academic exchanges and collaborate with well-known academic institutions at home and abroad.
@TU Delft, Manuel Baumann, research scientist at Philips Research Hamburg
@ShanghaiTech, 2020/2021 graduate student sources: Suzhou University, Dalian University of Technology, Hunan University, North China Electric Power University
Sun Lu
SUN LU
Research Directions:
Machine Learning, Pattern Recognition, Data Mining, and other fields of Artificial Intelligence
Enrollment Majors:
Computer Science and Technology, Computer Application Technology
Educational Background:
2014-2017, Hokkaido University, Japan, Graduate School of Information Science, PhD
2010-2013, Northeast Normal University, School of Physics, Master’s
2005-2009, Wuhan University, School of Electronic Information, Bachelor’s
Work Experience:
2019.11-Present, ShanghaiTech University, School of Information, Assistant Professor, Researcher
2017.10-2019.10, Kyoto University, Japan, Postdoctoral Researcher at the Bioinformatics Center
2017.4-2017.9, Hokkaido University, Japan, Assistant Researcher at the Graduate School of Information Science
Main Research Achievements and Personal Honors:
Published more than ten papers in important international journals and conferences
Graduate School of Information Science, Hokkaido University, Research Department Head Award
National Project for High-level University Construction Study Abroad
International Cooperation:
Cooperating Institutions:
Kyoto University, Japan
Hokkaido University, Japan
Jiang Jiahua
JIANG JIAHUA
Research Directions:
Scientific Computing, Numerical Methods, Reduced Order Modeling, Uncertainty Quantification, Inverse Problem, Image Processing
Enrollment Majors:
Mathematics, Computer Science, Electrical Engineering, Statistics, etc.
Educational Background:
2013-2018, University of Massachusetts Dartmouth, Engineering and Applied Science, PhD
2009-2013, University of Science and Technology of China, Computational Mathematics, Bachelor’s
Work Experience:
2020.9-Present, ShanghaiTech University, School of Information and Technology Sciences, Assistant Professor, Researcher
2020.1-2020.5, ICERM at Brown University, Math Department, Visiting Scholar
2018.9-2020.8, Virginia Tech, Math Department, Postdoctoral Associate
2016.6-2016.8, Sandia National Laboratories, Research Intern
Main Research Achievements and Personal Honors:
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Published papers in core journals in computational mathematics and engineering fields such as SISC, Inverse Problems, JSC, SIAM JUQ
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Served as a reviewer for several important international academic journals such as JSC, JCP, Inverse Problems
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Selected for the Shanghai Yangfan Plan in 2021
International Cooperation:
Yanlai Chen, University of Massachusetts Dartmouth
Akil Narayan, University of Utah
Julianne Chung, Virginia Tech
Eric de Sturler, Virginia Tech
Bo Dong, University of Massachusetts Dartmouth
Xingjie Li, University of Carolina at Charlotte
Carmeliza Navasca, University of Alabama at Birmingham
Xiaofeng Ye, Johns Hopkins University
Kevin Carlberg, Facebook Research
Ray Tuminaro, Sandia National Lab
XU LAN
XU LAN
Research Directions:
Computer Graphics, Static and Dynamic 3D Reconstruction, Virtual Reality, Deep Learning, with the ultimate goal of achieving immersive holographic communication
Enrollment Directions:
Computer Application Technology, Electronic Science and Technology
Enrollment Majors:
Computer Science and Technology, Electronic and Information Engineering
Educational Background:
2015-2020, Hong Kong University of Science and Technology, Electronic and Computer Engineering, PhD
2011-2015, Zhejiang University, Electronic and Information Engineering, Bachelor’s
Work Experience:
2018.10-2019.9, Max Planck Institute for Informatics, GVV Lab, Visiting Scholar
2016.10-2018.10, Tsinghua University, BBNC Lab, Visiting PhD
2016.9-2020.3, Tsinghua Berkeley Shenzhen Institute, Intelligent Imaging Lab, Visiting PhD
Main Research Achievements and Personal Honors:
Published several top journal and conference articles, including CVPR, ICCP, ECCV, IJCAI, SIGGRAPH, IEEE TRO, IEEE TIP, IEEE TVCG, IEEE IJCV, IEEE TPAMI, etc.
International Cooperation:
HKUST, Tsinghua University, Max Planck Institute
Laboratory Research Achievements Display:
4D Performance Reconstruction
Scene Perception & Understanding
Ma Yuexin
MA YUEXIN
Research Directions:
Computer Vision, Artificial Intelligence, 3D Scene Understanding (Image and Point Cloud Segmentation and Detection, Point Cloud Completion, Multi-Sensor Fusion Perception, Autonomous Driving Dynamic Perception, Pedestrian and Vehicle Trajectory Prediction, etc., details can be found at http://yuexinma.me/aboutme.html)
Enrollment Directions:
Computer Science and Technology, Information and Communication Engineering
Enrollment Majors:
Computer Science, Electronic Engineering and Information Science, Software Engineering, Applied Mathematics
Educational Background:
2015-2019, The University of Hong Kong, Department of Computer Science, PhD
2011-2015, Shandong University, Department of Software Engineering, Bachelor’s
Work Experience:
2020.09-Present, ShanghaiTech University School of Information, Assistant Professor, Researcher, PhD Supervisor
2019.10-2020.09, Hong Kong Baptist University, Research Assistant Professor
2018.04-2018.12, Baidu Research Institute, Intern
2017.09-2018.02, University of North Carolina at Chapel Hill, Visiting Scholar
2016.06-2016.08, French National Institute for Information and Automation Research, Visiting Scholar
Main Research Achievements and Personal Honors:
Published over ten papers in top conferences such as Science Robotics, CVPR, ECCV, AAAI, IJCAI, SIGGRAPH.
Served on the program committees of top conferences like CVPR, ICCV, ECCV, IJCAI, AAAI.
Best Tutor of the University of Hong Kong.
Hong Kong PhD Fellowship Award (HKPFS).
International Cooperation:
The University of Hong Kong, Chinese University of Hong Kong, The University of Maryland,The University of North Carolina at Chapel Hill, University of Kentucky, Texas A&M University, Baidu Research
Laboratory Research Achievements Display:
ShanghaiTech University School of Information Science and Technology 2021 Outstanding University Student Summer Camp Registration is Ongoing!
If you want to apply for the above mentors, please log in to the summer camp registration system (gadmission.shanghaitech.edu.cn) and fill out the application: in the second part of the registration intention fill in, select the major “Computer Science and Technology”—select the intended research center “Visual and Data Intelligence Center”
Welcome to register for the ShanghaiTech University School of Information 2021 Outstanding University Student Summer Camp!(Click to jump)
Review of Previous Center Introductions
Exploring the Seven Centers of the School of Information | Visual and Data Intelligence Center (Part 1)
Exploring the Seven Centers of the School of Information | Post-Moore Devices and Integrated Systems Center (Part 1)
Exploring the Seven Centers of the School of Information | Post-Moore Devices and Integrated Systems Center (Part 2)
Exploring the Seven Centers of the School of Information | Intelligent Network Center
Exploring the Seven Centers of the School of Information | Systems and Security Center
ShanghaiTech School of Information
ID: ShanghaiTech-SIST
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