ja en

IEEE SMC 2025

2025-10-07 Conference 2025 MengLab

石橋さん(D1), Gengさん(D2)は、オーストリア ウィーンで開催された国際会議
The 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC) で現地発表を行いました。

  • Ryuto Ishibashi, Mingcong Deng, and Lin Meng, “Multi-Scale Token Pruning in Mask2Former for Semantic Segmentation”
  • Yingrui Geng, Zenghui Wang, Mingcong Deng, and Lin Meng, “Enhanced Biogas Production Prediction Using BiogasNET with BiogasGAN”

ICAMechS 2025

2025-09-24 Conference 2025 MengLab

市原さん(B4), 谷川さん(B4), 高橋さん(M1), WANG Zhongyuさん(M2), ZHANG Runqianさん(M2), GENG Yingrui(D2), ZHANG Yexinさん(D2)は、中国 陝西省 西安市で開かれた国際学会
2025 International Conference on Advanced Mechatronic Systems (ICAMechS 2025) にて発表を行いました。
その内、谷川さんがBest Student Paper Awardを獲得しました。おめでとうございます!!

  • Kento Ichihara and Ryuto Ishibashi and Lin Meng, “SAAFNet: Self-Adaptive Attention Fusion Network for Single Image Deraining”
  • Ryuto Tanigawa, Yingrui Geng, Hayata Kaneko and Ling Meng, “A hybrid MLP-Attention physics-informed neural network for robust SOH estimation of lithium-ion batteries”
  • Haruhiro Takahashi, Ryuto Ishibashi, Taiga Tanaka and Lin Meng, “Knowledge Disitillation in Mask2Former for Semantic Segmentation”
  • Zhongyu Wang, Zhenling Su and Lin Meng, “FS-YOLO: An efficient metallic crack detection framework”
  • Runqian Zhang, Yifei Ge and Lin Meng, “YOLO Training Made Simple: A Unified Pipeline with Mobile Annotation and Web User Interface”
  • Yexin Zhang, Zhenling Su and Lin Meng, “A Review of UAV-Based Artificial Intelligence Applications in Agriculture”

発表を行う谷川さん

続きを読む

ATAIT 2025

2025-09-10 Conference 2025 MengLab

石野さん(B4), 草木さん(M1), YANさん(M1)は、本学で開かれた国際学会The 7th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2025) にて発表を行いました。
その内、YANさんがBest Paper Awardを獲得しました。おめでとうございます!!

  • Mikihisa Ishino and Lin Meng, “Lightweight YOLOX-Based Object Detection with Structural Pruning for Edge Device Deployment”
  • Shuto Kusaki, Ryuto Ishibashi and Lin Meng, “Token Pruning within the Attention Mechanism for Efficient Vision Transformers”
  • Yan Yan, Qi Li and Lin Meng, “Design and Development of a Lightweight YOLOv11-Based Model for UAV Image Recognition”

IAI 2025

2025-08-27 Conference 2025 MengLab

東さん(M2), 福坂さん(M2), YANさん(D2)は、中国 遼寧省 瀋陽市で開かれた国際学会
The 7th International Conference on Industrial Artificial Intelligence (IAI 2025) にて発表を行いました。
その内、東さんがIAI Student Paper Award Finalistに選出されました。おめでとうございます!!

  • Takashi Higashi, Ryuto Ishibashi, and Lin Meng, “Action Recognition Using MEViViT:Modality Embedding ViViT”
  • Hikaru Fukusaka and Lin Meng, “Applicability of Low-Rank Adaptation in Vision Transformer at Fine-Grained Image Classification Tasks”
  • Yuhao Yan, Zhuo Li, Chenyan Zhao, and Lin Meng, “Lightweight Industrial Anomaly Detection via Multi-Architecture Knowledge Distillation”

NCAA 2025

2025-07-06 Conference 2025 MengLab

LI Qi助教, RENさん(D1), WANGさん(M2), 福坂さん(M2), 藤田さん(M1) は中国, 香港特別行政区, 香港都会大学で開かれた国際学会
2025 International Conference on Neural Computing for Advanced Applicationsにて発表を行いました。
その内、福坂さんがBest Poster Awardを獲得しました。おめでとうございます!!

  • Jiasheng Yang, Qi Li, Xiaohong Li, and Lin Meng, “Dynamic Threshold Token Subsampling for Vision Transformer in Cloud Computing”
  • Jiale Ren, Xin Wang, Jie Han, Ren Xu, and Lin Meng, “Deep Learning-Based Cell Type Deconvolution in Spatial Transcriptomics: A Brief Review”
  • Zhongyu Wang, Zhenling Su, Yexin Zhang, and Lin Meng, “Structured Pruning for Model Compression inPassionflower Recognition”
  • Hikaru Fukusaka, and Lin Meng, “A Challenge on Gradient Compression of Distributed Training in Image Classification”
  • Yuuki Fujita, Hayata Kaneko, and Lin Meng, “Improving training phase for restoration of ancient documents using DeepFillv2”

発表を行うLI Qi助教

続きを読む

ICCSI 2024

2024-11-10 Conference 2024 MengLab

尾野さん(M2), 林さん(M2), 吉津さん(M1) はカタール, ドーハで開かれた国際学会
2024 international Conference on Cyber-phisical Social Intelligence(ICCSI 2024)にて発表を行いました。

  • Yuga Ono, Ryuto Ishibashi and Lin Meng, “GPNN:Grouped Point-NN for more efficient point cloud classification”
  • Shunsuke Hayashi, Ryuto Ishibashi, Lin Meng and Mingcong Deng, “IoT-based Leftover FoodSegmentation System for Healthcare”
  • Yuya Yoshizu, Hayata Kaneko, Ryuto Ishibashi, Lin Meng and Mingcong Deng, “Two-Stage Stains Reduction with Diffusion Models for Ancient Japanese Manuscripts”
古い投稿