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JACIII Best Paper and Young Researcher Awards 2022
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JACIII BEST PAPER AWARD 2022 Three-Mode Fuzzy Co-Clustering Based on Probabilistic Concept and Comparison with FCM-Type Algorithms Katsuhiro Honda, Issei Hayashi, Seiki Ubukata, and Akira Notsu |
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| Katsuhiro Honda Osaka Prefecture University | Issei Hayashi Osaka Prefecture University | Seiki Ubukata Osaka Prefecture University | Akira Notsu Osaka Prefecture University |
Fig. Prof. Katsuhiro Honda received a plaque and a certificate of the JACIII Best Paper Award 2022 on behalf of the authors.
Message from the Winner
It is our great honor to be selected for the JACIII’s Best Paper Award 2022, and we would like to express our sincere appreciation to the JACIII editorial board and office members, the reviewers, and all the supporters of this journal. Our paper, “Three-Mode Fuzzy Co-Clustering Based on Probabilistic Concept and Comparison with FCM-Type Algorithms,” was first motivated by our desire to utilize three-mode co-occurrence information in collaborative recommendations, such that personalized food recommendations can be realized by considering not only user-food preference tendencies but also intrinsic user-ingredient preferences. In the proposed method, fuzzy partitioning is achieved by introducing a probabilistic concept into a fuzzy c-means type of clustering, and the degree of partition fuzziness can be tuned through comparison with the fuzziness degree of probabilistic models. The proposed method is therefore supported by the advantages of both fuzzy set theory and probability theory, and it is expected to develop a new direction in fuzzy-probability hybridization.
Finally, we would like to once again express our sincere gratitude to all those involved in the JACIII journal, and we hope that it will continue to publish papers that pioneer new fields of computational intelligence and intelligent informatics.
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JACIII YOUNG RESEARCHER AWARD 2022 Path Planning Based on Improved Hybrid A* Algorithm Bijun Tang, Kaoru Hirota, Xiangdong Wu, Yaping Dai, and Zhiyang Jia |
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| Bijun Tang School of Automation, Beijing Institute of Technology | Kaoru Hirota School of Automation, Beijing Institute of Technology | Xiangdong Wu School of Automation, Beijing Institute of Technology | Yaping Dai School of Automation, Beijing Institute of Technology | Zhiyang Jia School of Automation, Beijing Institute of Technology |
Fig. Mr. Bijun Tang holding a plaque and a certificate of the JACIII Young Researcher Award 2022.
Message from the Winner
Thank you to the JACIII editorial board for giving me the award. I am honored to receive it. This paper is thanks to the guidance of my teacher, Professor Hirota.
This paper, “Path Planning Based on Improved Hybrid A* Algorithm,” is a study of the Hybrid A* algorithm. In this paper, the artificial potential field (APF) concept is applied in order to optimize the paths generated by the Hybrid A* algorithm. The generated path not only satisfies the non-holonomic constraints of the vehicle but is also smooth, and it keeps a comfortable distance from the obstacle at the same time.
Once again, I would like to thank everyone who contributed to this paper and made it possible for me to receive this award. I hope the JACIII journal has more and more excellent papers in the future.
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JACIII YOUNG RESEARCHER AWARD 2022 Recommendation System Based on Generative Adversarial Network with Graph Convolutional Layers Takato Sasagawa, Shin Kawai, and Hajime Nobuhara |
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| Takato Sasagawa Department of Intelligent Interaction Technologies, Graduate School of Systems and Information Engineering, University of Tsukuba | Shin Kawai Department of Intelligent Interaction Technologies, Graduate School of Systems and Information Engineering, University of Tsukuba | Hajime Nobuhara Department of Intelligent Interaction Technologies, Graduate School of Systems and Information Engineering, University of Tsukuba |
Fig. Mr. Takato Sasagawa holding a plaque and a certificate of the JACIII Young Researcher Award 2022.
Message from the Winner
I am truly honored to have been selected for the prestigious JACIII Young Researcher Award 2022. I sincerely appreciate the co-authors, the editorial office of JACIII, the reviewers, and the laboratory members.
It has been almost three years since 2019 when we worked on this paper related to recommendation algorithms. Companies such as YouTube, Amazon, and Netflix, which are also the background of our research, have increased in scale since that time, and content on the Internet continues to grow at a phenomenal pace.
In this context, the influence of recommendation algorithms is significant, and expectations for their performance improvement seem to be escalating day by day.
This research is to create recommendation data using a generative system that is based on graph convolution. Generative systems have already achieved remarkable success in pictures and photographs, and I believe their application fields will further expand.
We can also expect further developments in the field of recommendation systems. I am confident that our paper in the JACIII will contribute to the future development of this field.
Once again, it is a great pleasure for me to receive this prestigious award for our research, and I would like to express my deepest gratitude.
I believe this award and commendation will be a great encouragement to all students and researchers who are working on the recommendation algorithm.
I also wish for the development of the JACIII and the field of computational intelligence and intelligent informatics.
Fig. The winners of the Best Paper and Young Researcher Awards, editorial boards, and editorial staffs on the online ceremony. First row from left to right: Prof. Kaoru Hirota (Editor-in-Chief), editorial staffs, Prof. Toshio Fukuda (Editor-in-Chief), Dr. Hiroki Shibata, and Prof. Jinhua She. Second: Dr. Seiki Ubukata, Dr. Hajime Nobuhara, Dr. Kento Morita, Prof. Yasuhumi Takama, and Prof. Kazuteru Miyazaki. Third: Prof. Katsuhiro Honda (the BPA winner), Dr. Yoichi Yamazaki, Prof. Kewei Chen, Prof. Yoichiro Maeda, and Dr. Shin Kawai. Fourth: Prof. Keigo Watanabe, Mr. Takato Sasagawa (the YRA winner), Mr. Bijun Tang (the YRA winner), Ms. RongLi Li, and Prof. Isao Hayashi.