Has published over 80 papers in top journals and refereed conference proceedings, including Artificial Intelligence, Pattern Recognition, IEEE T-PAMI, AIJ, IEEE T-CYB, IEEE T-KDE, IEEE T-NNLS, IEEE T-MM, NeruIPS, IJCAI, AAAI, KDD, CVPR, ACM MM, CIKM, ICME, etc. Recent academic achievements include:
- February 2024: One paper accepted by IEEE TKDE (CCF-A)
- February 2024: One paper accepted by Knowledge Based Systems (SCI-1)
- January 2024: One paper accepted by FSE/ESEC 2024 (CCF-A)
- January 2024: One paper accepted by Artificial Intelligence (CCF-A)
- December 2023: One paper accepted by ICASSP 2024 (CCF-B)
- December 2023: Two papers accepted by AAAI 2024 (CCF-A)
- October 2023: One paper accepted by Knowledge Based Systems (SCI-1)
- September 2023: One paper accepted by ICDM 2023 (CCF-B)
- August 2023: One paper accepted by CIKM 2023 (CCF-B)
- July 2023: One paper accepted by ACM MM 2023 (CCF-A)
- July 2023: One paper accepted by Information Sciences (SCI-1)
- June 2023: One paper accepted by IEEE TMM
- March 2023: One paper accepted by IEEE TPAMI
- March 2023: One paper accepted by IEEE TSUSC
- January 2023: One paper accepted by TOIS
- October 2022: One paper accepted by IEEE TKDE
- August 2022: One paper accepted by IEEE TKDE
- March 2022: Two papers accepted by ICME 2022
- March 2022: One paper accepted by CVPR 2022
- February 2022: Served as a Technical Program Committee member for ICBDAI 2022
- January 2022: Held a workshop on Spatio-temporal Data Mining at the International Conference on Machine Learning, Cloud Computing, and Intelligent Mining
- November 2021: One paper accepted by IEEE TMM
- August 2021: One paper accepted by ACM-MM 2021 Industrial track (main Proceeding)
- August 2021: One paper accepted by Briefings in Bioinformatics
- April 2021: One paper accepted by IEEE TKDE
- March 2021: One paper accepted by IEEE TMM
- February 2021: One paper accepted by IEEE TNNLS
- December 2020: One paper accepted by IEEE TNNLS
Research Experience
Currently a Professor at the School of Software, Shandong University, and serves as the Secretary of the CCF Artificial Intelligence and Pattern Recognition Committee. Supervises doctoral and master's candidates.
Education
Ph.D. in Engineering from the University of Technology Sydney (2020).
Background
Research interests include data science, representation learning, and machine learning, particularly in the areas of representation learning, spatio-temporal data mining, predictive modeling, multi-modal enhancement, recommender systems, matrix factorization, and sequential pattern mining. Currently, he is a Professor at the School of Software, Shandong University.
Miscellany
Personal email: yongshun2512@hotmail.com; Work email: ysgong@sdu.edu.cn