Qi Wang
Scholar

Qi Wang

Google Scholar ID: jUcEacsAAAAJ
Guizhou University
Computer visionAgricultural VisionMultimodal analysis
Citations & Impact
All-time
Citations
743
 
H-index
16
 
i10-index
22
 
Publications
20
 
Co-authors
12
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Published 40 SCI or CCF academic papers, including 25 CCF A-class and SCI top-tier papers
  • - Led the high-quality dataset pilot project by the National Data Administration, 2 National Natural Science Foundation projects, and 3 provincial and ministerial level projects
  • - Obtained 28 Chinese invention patents
  • - Guided undergraduate students to publish SCI top-tier papers and win a national-level college student innovation and entrepreneurship project
  • - Won the National Grand Prize in the National College Students' Challenge Cup (Big Challenge) and several provincial and university-level competition awards
  • - Served as Executive Editor for Journal of Integrative Agriculture, Young Editorial Board Member for Plant Phenomics, and reviewer for over 20 top international conferences and journals
  • - Led and completed an international bilateral scientific cooperation project with Belgium
Research Experience
  • - Distinguished Professor, State Key Laboratory of Public Big Data, Guizhou University, 2021.03 ~ Present
  • - Visiting Scholar, Tsinghua University, Advisor: Yongjin Liu, 2023.07 ~ 2024.07
  • - Algorithm Engineer, JD AI Research, Advisors: Tao Mei, Wu Liu, 2019.01 ~ 2019.04
Education
  • - Ph.D., Engineering Technology, Hasselt University, 2018.07 ~ 2021.02, Advisor: Luc Claesen
  • - Ph.D., Computer Application Engineering, Guangdong University of Technology, 2015.09 ~ 2020.12, Advisor: Wen Yin Liu
  • - B.S., Electronic Information Engineering, Northwest Minzu University, 2011.09 ~ 2015.06
Background
  • Distinguished Professor and Master's Supervisor, currently working at the State Key Laboratory of Public Big Data, Guizhou University. Research interests include artificial intelligence, computer vision, multimodal understanding and analysis, smart agriculture, big data analysis and understanding, 3D direction, plant pest and disease multimodal data analysis, molecular generation and property prediction, multi/hyperspectral direction.
Miscellany
  • Motto: Chance favors the prepared mind!
  • Recruiting graduate students interested in artificial intelligence, big data, and computer vision. Outstanding students can be recommended for internships at well-known institutions such as Tencent YouTu and JD AI Research. For those with intentions to pursue a Ph.D., exceptionally outstanding candidates can be recommended to prestigious universities globally ranked in the top 100, such as Tsinghua University, Hong Kong Polytechnic University, and KU Leuven, and assisted in applying for scholarships. Additionally, undergraduate students are welcome to join the research group for research tasks and undergraduate thesis projects. Interested parties please contact via email.