Congratulations to MCL Alumnus, Dr. Yueru Chen, and Director, Professor Jay Kuo, for receiving the 2022 Best Paper Award from the Journal of Visual Communication and Image Representation for their work:
Yueru Chen and C.-C. Jay Kuo, “PixelHop: a successive subspace learning (SSL) method for object recognition,” Journal of Visual Communication and Image Representation, Vol. 70, July 2020, 102749.
The PixelHop paper proposed a successive subspace learning (SSL) framework for unsupervised feature representation. It lays a key foundation for green learning. Professor Kuo said, “Deep learning has been very dominating in the computer vision and image analysis field in the last 10 years. It was not easy for Yueru to pursue a totally different research direction in her PhD research. I am glad to see that her effort on developing an interpretable and modularized learning system has been gradually recognized by the community.”
MCL has received three best paper awards (2018, 2021, 2022) and two best paper award runner-ups (2019, 2020) from the Journal of Visual Communication and Image Representation in the last five years. The other four papers are listed below.
- The 2021 Best Paper Award of the Journal of Visual Communication and Image Representation.
- C.-C. Jay Kuo, Min Zhang, Siyang Li, Jiali Duan and Yueru Chen, “Interpretable convolutional neural networks via feedforward design,” the Journal of Visual Communication and Image Representation, Vol. 60, pp. 346-359, April 2019.
- The 2020 Best Paper Award Runner-up of the Journal of Visual Communication and Image Representation.
- C.-C. Jay Kuo and Yueru Chen, “On data-driven Saak transform,” the Journal of Visual Communication and Image Representation, Vol. 50, pp. 237-246, January 2018.
- The 2019 Best Paper Award Runner-up of the Journal of Visual Communication and Image Representation.
- Ronald Salloum, Yuzhou Ren and C.-C. Jay Kuo, “Image splicing localization using a multi-task fully convolutional network (MFCN),” the Journal of Visual Communication and Image Representation, Vol. 51, pp. 201-209, February 2018.
- The 2018 Best Paper Award of the Journal of Visual Communications and Image Representation.
- C.-C. Jay Kuo, “Understanding convolutional neural networks with a mathematical model,” the Journal of Visual Communication and Image Representation, Vol. 41, pp. 406-413, November 2016.
Professor Kuo expressed his deep gratitude to the Editor-in-Chief, Dr. Zicheng Liu, and the Award Committees of the Journal of Visual Communication and Image Representation for their strong support and encouragement over these years.
