本プロジェクトは国プロであり、孟研究室が関連するAIとIoTの研究を行ってきた。報告テーマは「IoTをベースにした分散型AI学習データのアノテーションシステムの構築」である。 場所は梅田スカイビル タワーウエスト10階 アウラホールである。
Hengyi Li, Zhichen Wang, Xuebin Yue, Wenwen Wang, Hiroyuki Tomiyama, and Lin Meng, "An Architecture-level Analysis on Deep Learning Models for Low-Impact Computations," Artificial Intelligence Review, Springer, ,2022.
Xuebin Yue, Hengyi Li, Yoshiyuki Fujikawa and Lin Meng, "Dynamic Dataset Augmentation for Deep Learning-based Oracle Bone Inscriptions Recognition", ACM Journal on Computing and Cultural Heritage (JOCCH),2022.
(1)Hengyi Li, Xuebin Yue, Zhichen Wang, Wenwen Wang, Hiroyuki Tomiyama and Lin Meng, "A Survey of Convolutional Network Models--From Software to Hardware and The Applications in Measurement", In The IMEKO XXIII World congress (IMEKO2021), August. 2021.(In JAPAN)
(2) Xuebin Yue, Bing Lyu, Hengyi Li, Katsuyuki Furumoto and Lin Meng, "Real-Time Medicine Packet Recognition System in Dispensing Medicines for The Elderly", In The IMEKO XXIII World congress (IMEKO2021), August. 2021.(In JAPAN)
(1)高 涵, 呂 氷, 王 志辰, 孟 林, "画像処理とクラスターを用いたくずし字セグメンテーション," 第20回情報科学技術フォーラム(FIT2021),Aug.26.2021.
(1)Tomoki Morioka, Aravinda C V and Lin Meng, "An AI-based Android Application for Ancient Documents Text Recognition," ATAIT2021, Shiga, Japan
(2) Jianhao Gong, Hengyi Li, Qi Li and Lin Meng, "A Deep Analysis of Group Convolution Schemes for Improving Deep Learning Performance," ATAIT2021, Shiga, Japan
(3)Minxuan Wen, Kentaro Yokoo, Xuebin Yue and Lin Meng, "An AI-based Mask-Wearing Status Recognition and Person Identification System," ATAIT2021, Shiga, Japan
(4)Ziming Wang, Xuebin Yue, and Lin Meng, " A Effective Approach for Noise Reduction from Shirakawa's Hand-Notated Documents on OBIs Research," ATAIT2021, Shiga, Japan
2021 International Conference on Advanced Mechatronic Systems
The 2021 IEEE International Conference on Networking, Sensing and Control(ICNSC)
Hengyi Li, Zhichen Wang, Xuebin Yue, Wenwen Wang, Hiroyuki Tomiyama and Lin Meng, "A Comprehensive Analysis of Low-Impact Computations in Deep Learning Workloads", In Proceedings of the Great Lakes Symposium on VLSI 2021 (the 31st GLSVLSI), June. 2021.(In USA)
(1)M.ATSUMI, M.INUMA, W.WANG and L.MENG, "A Comprehensive Analysis of Low-Impact Conputations in Deep Learning Applications," FIT2020.