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2026年

Journal

  1. Hayata KANEKO, Ryuto ISHIBASHI, and Lin MENG, “An Embedded Vision Transformer with Quantization-Friendly Simple Attention, Optimized Buffers, and SIMD Acceleration,” Journal of Supercomputing (accepted), 2026. [Download] SCI/SCIE IF:2.7 JCR Q1 CAS Q3
  2. Hayata KANEKO, Ryuto ISHIBASHI, and Lin MENG, “SIMD-CP: SIMD with Redundant Bits Compression and Mixed-Precision Packing for Quantized DNNs,” ACM Transactions on Embedded Computing Systems, Vol. 25, Issue 1, Art. No.15, pp.1-20, 7 Jan. 2025. [Download] SCI/SCIE IF:2.8 JCR Q2 CAS Q3
  3. Mengtao WANG, Yifan XU, Zaiyang LIU, Hidemitsu FURUKAWA, Zhongkui WANG, Ren XU, and Lin MENG, “Deformation Prediction of 4D-Printed Active Composite Structures Based on Data Mining,” Advanced Science, Vol. 13, Art. No.16989, pp.1-14, Nov. 2026. [Download] SCI/SCIE IF:15.1 JCR Q1 CAS Q1 Top

National Conference

  1. Qi LI, 孟 林, “マルチスケール特徴融合を用いた軽量ステレオマッチング手法,” スマートシステムと制御技術シンポジウム 2026（制御理論・制御技术一般）（仓敷）, 2026.1.6-7.

2025年

Journal

  1. Yuya YOSHIZU, Hayata KANEKO, Ryuto ISHIBASHI, and Lin MENG, “Restoration of ancient Japanese manuscripts via the diffusion denoising restoration model and color space-based masking,” npj Heritage Science, Vol.13, Art No. 634, pp.1-14, 5. Dec. 2025. [Download] SCI/SCIE IF:3.9 JCR:Q1
  2. Jiale REN, Aihui WANG, Hengyi LI, Shengda GAO, Huichao Duan, and Lin MENG, “Personalized Gait Generation and Active Compliance Control Strategy for Lower Limb Rehabilitation Robots,” IEEE Transactions on Consumer Electronics, IEEE, Vol.71 No.4, pp.10708-10720, Nov. 2025. [Download] SCI/SCIE IF:10.9 JCR:Q1 CAS:Q2
  3. Yifei GE, Zhuo LI, and Lin MENG, “YOLO-MSD: A Robust Industrial Surface Defect Detection Model via Multi-scale Feature Fusion,” Applied Intelligence, SPRINGER, Vol.X55 No.840, pp.1-18, June, 2025. [Download] SCI/SCIE IF:3.4 JCR:Q2 CAS:Q3
  4. Menghao Yuan, Yan Wang, Xiaohu Zhou, Meijiang Gui, Aihui Wang, Chen Wang, Guotao Li, Hongnian Yu, Lin Meng, and Zengguang Hou, “Foot Pressure-Based Abnormal Gait Recognition With Multi-Scale Cross-Attention Fusion,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE, Vol.33, pp.3146-3159, March, 2025. [Download] SCI/SCIE IF:5.2 JCR:Q1 CAS:Q1
  5. Zhuo LI, Yuhao YAN, Xiangheng WANG, Yifei GE, and Lin MENG, “A Survey of Deep Learning for Industrial Visual Anomaly Detection,” Artificial Intelligence Review, Vol.58, Article No.279, pp.1-82, June, 2025. [Download] SCI/SCIE IF:10.7 JCR:Q1 CAS:Q1 Top
  6. Zhuo LI, Yifei GE, and Lin MENG, “A multi-scale information fusion framework with interaction-aware global attention for industrial vision anomaly detection and localization,” Information Fusion, Vol.124, No.103356, pp.1-16, June, 2025. [Download] SCI/SCIE IF:14.8 JCR:Q1 CAS:Q1 Top
  7. Xingcun LI, Qinghua WU, Yuning CHEN, Kun WU, and Lin MENG, “Wireless Capsule Endoscopy Diagnosis Using Prototype Self-Attention and Dynamic Curriculum Learning,” IEEE Transactions on Automation Science and Engineering, Vol.22, pp.14261-14272, April, 7, 2025. [Download] SCI/SCIE IF:5.9 JCR:Q1 CAS:Q2 Top
  8. Mengtao WANG, Zaiyang LIU, Hidemitsu FURUKAWA, Zhuo LI, Yifei GE, Yifan XU, Zhe QIU, Yang TIAN, Zhongkui WANG, Ren XU, and Lin MENG, “Fast reverse design of 4D-printed voxelized composite structures using deep learning and evolutionary algorithm,” Advanced Science, Wiley, Vol.12, Art No.2407825, Feb. 2025. [Download] SCI/SCIE IF:15 JCR:Q1 CAS:Q1 Top
  9. Yifan XU, Mengtao WANG, Hidemitsu FURUKAWA, Zhongkui WANG, and Lin MENG, “Enhancing the Efficiency of 4D Printing Design through Time-Series Prediction by Dense-LSTM Crossed Network,” International Journal of Advanced Mechatronic Systems Vol.12, No.4, pp.209-221, January, 2025.(accepted) [Download]
  10. Atsuki MATSUI, Ryuto ISHIBASHI, and Lin MENG, “Optimizing Loss Functions for YOLO Models: Improving Object Detection in Agricultural Datasets,” Machines, MDPI, Vol.14, No.2, pp.1-15, January, 2025. [Download] SCI/SCIE IF:2.1 JCR:Q2
  11. Ryuto ISHIBASHI, and Lin MENG, “Automatic Pruning Rate Adjustment for Dynamic Token Reduction in Vision Transformer,” Applied Intelligence, SPRINGER, Vol.55, No.5, ArtNo.342, pp.1-17, January, 18, 2025. [Download] SCI/SCIE IF:3.4 JCR:Q2 CAS:Q3
  12. Yifei GE, Zhuo LI, Xuebin YUE, Hengyi LI, and Lin MENG, “Dataset Purification-Driven Lightweight Deep Learning Model Construction for Empty-Dish Recycling Robot,” IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE, January, 10, 2025. [Download] SCI/SCIE IF:5.3 JCR:Q1 CAS:Q2
  13. Yongping DAN, Changhao SUN, Hengyi LI, Lin MENG, “Adaptive Apiking Neuron with Population Coding for a Residual Spiking Neural Network,” Applied Intelligence, SPRINGER, Vol.55, No.4, ArtNo.288, pp.1-24, January, 9, 2025. [Download] SCI/SCIE IF:3.4 JCR:Q2 CAS:Q3

National Conference

  1. Yue Xinzhe, Li Qi, 孟 林, “マルチ LSTM 分析モデルを用いたニューステキストの分類,” 電気学会・制御研究会 (東京農工大学，東京), 2025.12.27.
  2. 井本 佑一, 吉津 侑哉, 藤田 佑樹, 孟 林, “UNet++とRestormerによる損傷崩し字の2段階修復,” 電気学会・制御研究会 (東京農工大学，東京), 2025.12.27.
  3. 山口 航平, SU ZhenLing, MENG Lin, “ナノドローンに向けた物体検出の軽量化,” 電気学会・制御研究会 (東京農工大学，東京), 2025.12.27.
  4. Yexin ZHANG, Zhenling SU, Lin MENG, “Development of a Real-Time Human Detection System Using RISC-V Equipped Nano Drones,” 電気学会・制御研究会 (岡山大学，岡山), 2025.5.10-11.
  5. 東 昂巳, 孟 林, “Cross Attentionを用いたViViTによる行動認識精度的向上,” 電気学会・制御研究会 (岡山大学，岡山), 2025.5.10-11.
  6. Yifan XU, Mengtao WANG, and Lin MENG, “量子インスパイア型最適化アルゴリズムに関する詳細の調査,” 電気学会・制御研究会 (岡山大学，岡山), 2025.5.10-11.

International Conference

  1. Ryuto Ishibashi, Mingcong Deng, and Lin MENG, “Multi-Scale Token Pruning in Mask2Former for Semantic Segmentation,” the 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct. 5-8, 2025 (Vienna, Austria). 【AR=57% about 1200+ from 2100+ submissions 】
  2. Yingrui Geng, Zenghui Wang, Mingcong Deng, and Lin MENG, “Enhanced Biogas Production Prediction Using BiogasNET with BiogasGAN,” the 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct. 5-8, 2025 (Vienna, Austria). 【AR=57% about 1200+ from 2100+ submissions 】
  3. Hayata Kaneko, and Lin Meng, “SIMD-CP: SIMD with Redundant Bits Compression and Mixed-Precision Packing for Quantized DNNs,” the 2025 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Sep. 28-Oct. 3, 2025 (Taipei). 【Accepted as WIP, accepted rate=3*/9*】
  4. Xiangheng Wang, Hayata Kaneko and Lin Meng, “Inpainting of Ancient Chinese Character Rubbings via Generative Adversarial Network,” the 23rd International Conference on Image Analysis and Processing (ICIAP 2025), Sep. 15-19, 2025 (Rome, Italy).
  5. Runqian Zhang, Yifei Ge, Lin Meng, “YOLO Training Made Simple: A Unified Pipeline with Mobile Annotation and Web User Interface,” In proceedings of the 2025 International Conference on Advanced Mechatronic Systems (ICAMechS 2025), Sep. 19-22, 2025 (Xi'an, China).
  6. Kento Ichihara, Ryuto Ishibashi, and Lin Meng, “SAAFNet: Self-Adaptive Attention Fusion Network for Single Image Deraining,” In proceedings of the 2025 International Conference on Advanced Mechatronic Systems (ICAMechS 2025), Sep. 19-22, 2025 (Xi'an, China).
  7. Haruhiro Takahashi, Ryuto Ishibashi, Taiga Tanaka, and Lin Meng, “Knowledge Disitillation in Mask2Former for Semantic Segmentation,” In proceedings of the 2025 International Conference on Advanced Mechatronic Systems (ICAMechS 2025), Sep. 19-22, 2025 (Xi'an, China).
  8. Yexin Zhang, Zhenling Su, Lin Meng, “A Review of UAV-Based Artificial Intelligence Applications in Agriculture,” In proceedings of the 2025 International Conference on Advanced Mechatronic Systems (ICAMechS 2025), Sep. 19-22, 2025 (Xi'an, China).
  9. Zhongyu Wang, Zhenling Su, and Lin Meng, “FS-YOLO: An efficient metallic crack detection framework,” In proceedings of the 2025 International Conference on Advanced Mechatronic Systems (ICAMechS 2025), Sep. 19-22, 2025 (Xi'an, China).
  10. Ryuto Tanigawa, Yingrui Geng, Hayata Kaneko, and Lin Meng, “A hybrid MLP-Attention physics-informed neural network for robust SOH estimation of lithium-ion batteries,” In proceedings of the 2025 International Conference on Advanced Mechatronic Systems (ICAMechS 2025), Sep. 19-22, 2025 (Xi'an, China). 【Best Student Paper Award】
  11. Shuto Kusaki, Ryuto Ishibashi and Lin Meng, “Token Pruning within the Attention Mechanism for Efficient Vision Transformers,” The 7th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2025), Sep. 2025 (Kusatsu, Japan).
  12. Junqing Wang, Qi Li and Lin Meng, “Improvement in Road Crack Detection Based on Multiple Attention Mechanisms,” The 7th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2025), Sep. 2025 (Kusatsu, Japan).
  13. Yan Yan, Qi Li, and Lin Meng, “Design and Development of a Lightweight YOLOv11-Based Model for UAV Image Recognition,” The 7th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2025), Sep. 2025 (Kusatsu, Japan). 【Best Student Paper Award】
  14. Mikihisa Ishino and Lin Meng, “Lightweight YOLOX-Based Object Detection with Structural Pruning for Edge Device Deployment,” The 7th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2025), Sep. 2025 (Kusatsu, Japan).
  15. Yuhao Yan, Chengyan Zhao, Zhuo Li, and Lin Meng, “Lightweight Industrial Anomaly Detection via Multi-Architecture Knowledge Distillation,” the 6th International Conference on Industrial Artificial Intelligence, Aug. 21-24, 2025 (Shenyang, China).
  16. Hikaru Fukusaka, and Lin Meng, “Applicability of Low-Rank Adaptation in Vision Transformer at Fine-Grained Image Classification Tasks,” the 6th International Conference on Industrial Artificial Intelligence, Aug. 21-24, 2025 (Shenyang, China).
  17. Takashi Higashi, Ryuto Ishibashi, and Lin Meng, “Action Recognition Using MEViViT : Modality Embedding ViViT,” the 6th International Conference on Industrial Artificial Intelligence, Aug. 21-24, 2025 (Shenyang, China). 【 IAI Student Paper Award Finalist 】
  18. Zhongyu Wang, Zhenling Su, Yexin Zhang and Lin Meng, “Structured Pruning for Model Compression in Passionflower Recognition,” The 6th International Conference on Neural Computing for Advanced Applications (NCAA 2025) July 4-6, 2025 (Hongkong, China).
  19. Jiale Ren, Xin Wang, Jie Han, Ren Xu and Lin Meng, “Deep Learning-Based Cell Type Deconvolution in Spatial Transcriptomics: A Brief Review,” The 6th International Conference on Neural Computing for Advanced Applications (NCAA 2025) July 4-6, 2025 (Hongkong, China).
  20. Yuuki Fujita, Hayata Kaneko and Lin Meng, “Improving training phase for restoration of ancient documents using DeepFillv2,” The 6th International Conference on Neural Computing for Advanced Applications (NCAA 2025) July 4-6, 2025 (Hongkong, China).
  21. Hikaru Fukusaka and Lin Meng, “A Challenge on Gradient Compression of Distributed Training in Image Classification,” The 6th International Conference on Neural Computing for Advanced Applications (NCAA 2025) July 4-6, 2025 (Hongkong, China).
  22. Jiasheng Yang, Qi Li, Xiaohong Li and Lin Meng, “Dynamic Threshold Token Subsampling for Vision Transformer in Cloud Computing,” The 6th International Conference on Neural Computing for Advanced Applications (NCAA 2025) July 4-6, 2025 (Hongkong, China).
  23. Yexin Zhang, Zhenglin Su, and Lin Meng, “Hand Gesture Recognition for Real-Time Nano Drone Control on RISC-V,” The 2025 IEEE International Conference on Real-time Computing and Robotics (RCAR 2025) June 1-6, 2025 (Toyama, Japan).
  24. Kosaburo Hattori, Ryuto Ishibashi, Hayata Kaneko, and Lin Meng, “SEAD+: Segment Element based Anomaly Detection,” The 2025 IEEE International Conference on Real-time Computing and Robotics (RCAR 2025) June 1-6, 2025 (Toyama, Japan).

2024年

Journal

  1. Kosaburo HATTORI, Ryuto ISHIBASHI, Hayata KANEKO, Tomonori IZUMI, and Lin MENG, “SEAD : Segment Element based Anomaly Detection,” IEEE ACCESS, ID:Access-2024-48152, IEEE, Dec. 2024. [Download] SCI/SCIE IF:3.467 JCR:Q1 CAS:Q3
  2. Qi LI, Hayata KANEKO, and Lin MENG, “A Cosine Similarity-Based Token Subsampling Method for Vision Transformer in Cloud Computing,” Neural Computing and Applications, SPRINGER, Dec. 2024. [Download] SCI/SCIE IF:4.5 JCR:Q1 CAS:Q3
  3. Yuya YOSHIZU, Hayata KANEKO, Ryuto ISHIBASHI, Mingcong DENG, and Lin MENG, “Two-Stage Stain Reduction in Ancient Japanese Manuscripts via Mask-Guided Diffusion Models,” Journal of Cyber-Physical-Social Intelligence, Vol.3, No.1, pp.1-16, 2024. [Download]
  4. Zhuo LI, Yifei GE, Xin WANG, and Lin MENG, “3D Industrial Anomaly Detection via Dual Reconstruction Network,” Applied Intelligence, SPRINGER, pp.1-15, July 2024. [Download] SCI/SCIE IF:3.9 JCR:Q2 CAS:Q2
  5. Qi LI, Zhenling SU, and Lin MENG, “A Comprehensive analysis of Deployment Optimization Methods for CNN-Based Applications on Edge Devices,” Elektrotehniški vestnik, Somaru, Vol.91, No.3, pp.95-107, July 2024. [Download]
  6. Qi LI, Hengyi LI, and Lin MENG, “A Generic Deep Learning Architecture Optimization Method for Edge Device based on Start-up Latency Reduction,” Journal of Real-Time Image Processing, SPRINGER, Vol.21, No.116, pp.1-12, June 2024. [Download] SCI/SCIE IF:3.0 JCR:Q2 CAS:Q4
  7. Jiangwei LI, Deng ZHAO, Zhensheng SHI, Lin MENG, Walid Gaaloul, and Zhangbing ZHOU, “Energy-Efficient Online Service Migration in Edge Networks,” IEEE Internet of Things Journal, IEEE, May 2024. [Download] SCI/SCIE IF:10.06 JCR:Q1 CAS:Q1
  8. Zhuo LI, Yifei GE, Xuebin YUE, and Lin MENG, “MCAD: Multi-classification anomaly detection with relational knowledge distillation,” Neural Computing and Applications, SPRINGER, May 2024. [Download] IF:4.7 JCR:Q1 CAS:Q3
  9. Xuebin YUE, Ziming WANG, Ryuto ISHIBASHI, Hayata KANEKO, and Lin MENG, “An Unsupervised Automatic Organization Method for Professor Shirakawa’s Hand-Notated Documents of Oracle Bone Inscriptions,” International Journal on Document Analysis and Recognition, SPRINGER, Jan. 2024. [Download] SCI/SCIE IF:2.3 JCR:Q2 CAS:Q3
  10. Jiale REN, Hengyi LI, Aihui WANG, Kenshi SAHO, and Lin MENG, “Radar-based gait analysis by Transformer-liked network for dementia diagnosis,” Biomedical Signal Processing and Control, Vol.91, ELSEVIER, Jan. 2024. [Download] [Data] SCI/SCIE IF:5.1 JCR:Q1 CAS:Q2
  11. Bing LYU, Xuebin YUE, and Lin MENG, “Early Japanese Books Organization and Spatiotemporal Database System Creation for Natural Disaster Analysis,” Heritage Science, Springer, Vol.12, No.14, pp.1-20, 2024. [Download] SCI/SCIE IF:2.893 JCR:Q1 CAS:Q1 Top
  12. Xuebin YUE, and Lin MENG, “YOLO-SM: a Lightweight Single-class Multi-deformation Object Detection Network,” IEEE Transactions on Emerging Topics in Computational Intelligence, Vol.8, No.3, pp.2471-2480, June 2024. [Download] SCI/SCIE IF:5.30 JCR:Q1 CAS:Q2
  13. Zhenling SU, Song WANG, Qi LI, and Lin MENG, “AI Model Design and the Challenging of CPU Acceleration by ChatGPT,” Int. J. of Human Factors Modelling and Simulation, (accepted), 2024.

National Conference

  1. 林 駿介, 孟 林, “Androidを用いた残飯量測定システム,” 電気学会・制御研究会 (大分大学，大分), 2024.10.26.
  2. 松井 敦己, 孟 林, “りんごの外観検査に向けたYOLOの改善,” 電気学会・制御研究会 (大分大学，大分), 2024.10.26.
  3. 長瀬 亜依, 李 卓, 孟 林, “特徴抽出の最適化による異常検知モデルのコンパクト化,” 電気学会・制御研究会 (大分大学，大分), 2024.10.26.
  4. 徐 一凡, 王 梦涛, 王 忠奎, 孟 林, “RNNを用いたハイドロゲル４Ｄプリンティングのシミュレーションモデリング,” ロボティクス・メカトロニクス 講演会 2024 (宇都宮，栃木), 2024.5.29.
  5. 福坂 陽, Zenghui WANG, 孟 林, “バイオガスプラントの監視IoT系统構築に関する検討,” 電気学会・制御研究会 (熊本大学，熊本), 2024.5.19.
  6. 王 相衡, 蘇 振嶺, 金子 隼大, 孟 林, “AIを用いた拓本の自動整理 とそれに向けた拓本文字データセットの構築,” 電気学会・制御研究会 (熊本大学，熊本), 2024.5.19.
  7. Zhuo LI, Xin WANG, Yifei GE, Lin MENG, “表面欠陥検出に向けた教師-学生AIモデル,” スマートシステムと制御技術シンポジウム 2024 (松江テルサ，島根), 2024.1.6-7.
  8. Yifei GE, Zhuo LI, Lin MENG, “AIとIoTを融合した文化遺産整理,” スマートシステムと制御技術シンポジウム 2024 (松江テルサ，島根), 2024.1.6-7.

International Conference

  1. Qi Li and Lin Meng, “Enhancing Transmission Efficiency in Vision Transformer Edge Computing via Token Clustering,” IIKI 2024, Dec. 6-8, 2024 (Kusatsu, Japan).
  2. Atsuki Matsui, Ryuto Ishibashi, and Lin Meng, “YOLO Loss Optimization for Detecting Fruit Defects,” IIKI 2024, Dec. 6-8, 2024 (Kusatsu, Japan).
  3. Taiga Tanaka, Ryuto Ishibashi, and Lin Meng, “Attention Distillation for Accuracy Improvement of Vision Transformer,” IIKI 2024, Dec. 6-8, 2024 (Kusatsu, Japan).
  4. Zhuo Li, Hengyi Li, and Lin Meng, “An efficient neural architecture search based on PCDARTS,” IIKI 2024, Dec. 6-8, 2024 (Kusatsu, Japan).
  5. Yingrui Geng, Menghao Yuan, Xiaoxu Wen, Yan Wang, and Lin Meng, “Distributed Learning for Gait-based Human Recognition,” IIKI 2024, Dec. 6-8, 2024 (Kusatsu, Japan).
  6. Yuya YOSHIZU, Hayata KANEKO, Ryuto ISHIBASHI, and Lin MENG, “Evaluation of Missing Image Restoration with a Binary Character Image Diffusion Model,” ICAMechS 2024, Nov. 26-28, 2024 (Kusatsu, Japan).
  7. Zhuo LI, Yifei GE, Qi LI, and Lin MENG, “IAD-CLIP: Vision-Language Models for Zero-Shot Industrial Anomaly Detection,” ICAMechS 2024, Nov. 26-28, 2024 (Kusatsu, Japan).
  8. Yifan XU, Mengtao WANG, Zhongkui WANG, and Lin MENG, “Recurrent Neural Network-based Modeling Approach for 4D Printing Design,” ICAMechS 2024, Nov. 26-28, 2024 (Kusatsu, Japan).
  9. Runqian ZHANG, Yifei GE, Lin MENG, et al., “Digital Twins and AI Management: Optimizing Biogas-Photovoltaic Systems for off-grid area,” ICAMechS 2024, Nov. 26-28, 2024 (Kusatsu, Japan).
  10. Takashi HIGASHI, Ryuto ISHIBASHI, and Lin MENG, “ViViT fall detection and action recognition,” ICAMechS 2024, Nov. 26-28, 2024 (Kusatsu, Japan).
  11. Axel Jantsch, et al., “Estimation and Optimization of DNNs for Embedded Platforms,” CODES+ISSS, pp.23-32, Sep. 29-Oct. 4, 2024 (RALEIGH, USA).
  12. Yuga Ono, Ryuto Ishibashi, and Lin Meng, “GPNN:Grouped Point-NN for more efficient point cloud classification,” ICCSI 2024, Nov. 8-12, 2024 (Doha, Qatar).
  13. Shunsuke Hayashi, et al., “IoT-based Leftover Food Segmentation System for Healthcare,” ICCSI 2024, Nov. 8-12, 2024 (Doha, Qatar).
  14. Yuya Yoshizu, et al., “Two-Stage Stains Reduction with Diffusion Models for Ancient Japanese Manuscripts,” ICCSI 2024, Nov. 8-12, 2024 (Doha, Qatar).
  15. Hayata Kaneko, and Lin Meng, “Analysis Towards Deployment and Acceleration for ViT on a Lightweight RISC-V Processor,” IAI 2024, Aug. 21-25, 2024 (Shenyang, China).
  16. Ryuto Ishibashi, et al., “ViT-Based Hybrid Segmentation for Leftover Food Detection,” IAI 2024, Aug. 21-25, 2024 (Shenyang, China).
  17. Yifei Ge, and Lin Meng, “A Powerful Object Detection Network for Industrial Anomaly Detection,” IAI 2024, Aug. 21-25, 2024 (Shenyang, China).
  18. Atsuki Matsui, et al., “YOLO-FG: YOLO-Based Visual Inspection for Fruits Grading,” IAI 2024, Aug. 21-25, 2024 (Shenyang, China).
  19. Kosaburo Hattori, Ryuto Ishibashi, Hayata Kaneko, Tomonori Izumi, and Lin MENG, “Visual Anomaly Detection with Self-Attention and Separate Memory Bank,” SMC 2024, Oct. 6-10, 2024 (Kuching, Malaysia). 【AR=56.7% about 852 from 1502 submissions】
  20. Haruhiro TAKAHASHI, et al., “Leftover Food Measurement using Deep Learning Based Semantic Segmentation,” ATAIT 2024, Aug. 2024 (Kusatsu, Japan).
  21. Masayuki ISHIKAWA, et al., “Norm-Regularized Token Compression in Vision Transformer Networks,” ATAIT 2024, Aug. 2024 (Kusatsu, Japan).
  22. Runqian ZHANG, et al., “An Improved YOLOv8 Tomato Leaf Disease Detector Based on Efficient-Net backbone,” ATAIT 2024, Aug. 2024 (Kusatsu, Japan).
  23. Zhongyu WANG, et al., “A Review on FPGA-Based Optimization and Applications of Deep Learning Convolutional Neural Networks,” ATAIT 2024, Aug. 2024 (Kusatsu, Japan).
  24. Yifan XU, et al., “Simulation of Hydrogel 4D Printing Using RNN,” ATAIT 2024, Aug. 2024 (Kusatsu, Japan).
  25. Yifei GE, Zhuo LI, and Lin MENG, “Deep learning-driven digital twin-enabled smart monitoring system,” KES 2024, Sep. 11-13, 2024 (Seville, Spain).
  26. Xin WANG, et al., “A deep learning-based method facilitates scRNA-seq cell type identification,” NCAA 2024, July 5-7, 2024 (Guilin, China).
  27. Zhenling SU, et al., “Optimization and Deployment of DNNs for RISC-V-based Edge AI,” IEEE RCAR 2024, June 24-28, 2024 (Alesund, Norway).
  28. Jiale REN, et al., “Personalized Gait Generation Using Convolutional Neural Network for Lower Limb Rehabilitation Robots,” IEEE RCAR 2024, June 24-28, 2024 (Alesund, Norway).
  29. Yuga ONO, and Lin MENG, “Anomaly Classification with Anomaly-Focused Patch Selection by Gaussian Distribution,” SASIMI 2024, March 11-12, 2024 (Taiwan).

Others

  1. 孟林, 吉津侑哉, “生成AIを用いた本古代文献修復,” ARC Days 2024 (京都，立命馆大学), Aug. 1st, 2024.
  2. 孟林, “交差分野のAI研究について,” 電気学会・制御研究会 (招待講演), May. 18th, 2024.