Yongwei Wang's Academic Site
Biography
Yongwei Wang is a ZJU100 Young Professor in Prof. Fei Wu's team, working on Safe, Efficient, and Generalizable AI at Shanghai Institute for Advanced Study and College of Computer Science, Zhejiang University in China. Previously, he was a Research Fellow at Nanyang Technological University working with Prof. Chunyan Miao's group from 2021 to 2023 in Singapore.
He received his Ph.D. in Electrical and Computer Engineering from the University of British Columbia in 2021
(Advisors: Prof. Z. Jane Wang
and Prof. Rabab Ward), and his M.Sc and B.Eng (Honors College) degrees from
Northwestern Polytechnical University (Advisor: Prof. Yixin Yang) in 2017 and 2014, respectively.
He was also a visiting student at Delft University of Technology from Sept. 2013 to Mar. 2014
(Advisor: Prof. Geert Leus).
Our team also collaborates closely with Baidu, Shanghai AI Lab, iFLYTEK, Alibaba, etc.
We are looking for self-motivated research interns/M.Sc/PhD students to join us!
Research Interests
AI Safety
Multimedia Forensics
Generative AI
Medical Imaging
Professional Services
Technical Committee
Conference Committee
Session Secretary for AI for Science (AI4S) in CSOEYSC2024(第一届中国光学工程学会青年科学家大会), 2024.
Session Secretary for Autonomous Agent Empowering Industry in GIIC2024(第七届国际智能工业大会), 2024.
Academic Secretary for the Sixth CCF Xiuhu Conference (第六期CCF秀湖会议 科学智算(AI4S): 交叉与赋能), 2023.
Chair for “Recent Developments in Mathematical Models for Data Intelligence Applications” workshop in ICCBDAI, 2023.
Session Chair for “Machine learning for image and video analysis, synthesis, and retrieval” in ICIP, 2021.
Journal Editor
Journal Reviewer
Engineering
ACM Computing Surveys
International Journal of Computer Vision
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Medical Imaging
IEEE Transactions on Instrumentation and Measurement
IEEE Transactions on Industrial Informatics
IEEE Transactions on Multimedia
IEEE Transactions on Signal Processing
IEEE Journal of Selected Topics in Signal Processing
IEEE Signal Processing Letters
Pattern Recognition
Information Fusion
Neurocomputing
Neural Networks
Knowledge-Based Systems
Expert Systems with Applications
Biomedical Signal Processing and Control
Computer Vision and Image Understanding
Journal of Computer Science and Technology
The Visual Computer
Program Committee
European Conference on Computer Vision (ECCV)
International Conference on Learning Representations (ICLR)
Conference on Neural Information Processing Systems (NeurIPS)
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
International Joint Conference on Artificial Intelligence (IJCAI)
The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)
AAAI Conference on Artificial Intelligence (AAAI)
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
IEEE International Conference on Image Processing (ICIP)
IEEE Data Science & Learning Workshop (DSLW)
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Teaching Experience
Aug. 2023 - Aug. 2023: AI Security and its Practices at ZJU.
Jan. 2021 – Apr. 2021, TA for ELEC 422: Biosignals and Systems at UBC.
Sept. 2018 – Dec. 2018, TA for APSC 160: Introduction to Computation in Engineering Design.
Jan. 2018 – Apr. 2018, TA for APSC 160: Introduction to Computation in Engineering Design.
Selected Awards
Shanghai Magnolia Talents Program, 2023
Audience Choice Award in IEEE DSLW, 2022
President’s Academic Excellence Initiative PhD Award, 2020
International Student Scholarship, 2017-2021
Wu Ya-Jun Alumni Award, 2015
Excellent Undergraduate Exchange Award, 2013
National Encouragement Scholarship, 2012
First-class Scholarships, 2011, 2012, 2014, 2015
|