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Year 2026

Journal

  1. ZhenLing SU, YeXin ZHANG, and Lin MENG, “Artificial Intelligence on the Wing: Fully On-board Visual Servoing for Object Tracking with Autonomous Nano Unmanned Aerial Vehicles,” Engineering Applications of Artificial Intlligence, Vol. 177, p. 114890, 2026. [Download] SCI/SCIE IF:8.0 JCR Q1 CAS Q1 top
  2. Zenghui Wang, Zhihong Man, Lin Meng, Shijian Cang, Yanxia Sun “AAI-driven digital twin and delay-aware surrogate MPC framework for biogas production,” Computers & Chemical Engineering, Vol. 210, Art No.109637, pp.1-18, 114890, 2026. [Download] SCI/SCIE IF:4.0 JCR Q1 CAS Q2
  3. Takashi Higashi, Lin Meng and Ryuto Ishibashi, “A Enhancing computational efficiency in video action recognition via temporal token merging in ViViT ,” Int. J. Human Factors Modelling and Simulation, Vol. 8, No. 2, pp.169-180, 2026. [Download]
  4. Zhenling Su, Qi Li, Song Wang and Lin Meng “AAI model design and the challenging of CPU acceleration by ChatGPT,” Int. J. Human Factors Modelling and Simulation, Vol. 8, No. 2, pp.97-110, 2026. [Download]
  5. Hayata KANEKO, Ryuto ISHIBASHI, and Lin MENG, “An Embedded Vision Transformer with Quantization-Friendly Simple Attention, Optimized Buffers, and SIMD Acceleration,” Journal of Supercomputing, Vol. 82, No. 337 , 2026.4. [Download] SCI/SCIE IF:2.7 JCR Q1 CAS Q3
  6. 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
  7. 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

International Conference

  1. Kento Ichihara and Lin Meng, “Physics-Guided Safety Gating: Balancing Structure Preservation and Raindrop Removal,” The 7th International Conference on Neural Computing for Advanced Applications (NCAA 2025), accepted, July 9?12, 2025 (Osaka, Japan).
  2. XinZhe Yue and Lin Meng, “Weighted Bidirectional LSTM with Dynamic Attention for Logographic News Text Classification,” The 7th International Conference on Neural Computing for Advanced Applications (NCAA 2025), accepted, July 9?12, 2025 (Osaka, Japan).

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・制御技術一般、倉敷）, 2026.1.6-7.
  2. 横山 拓哉, 孟 林, “推論レイテンシを考慮した軽量Vision TransformerのJetson Nanoへの実装と評価,” 電気学会・制御研究会（富山県立大学,富山）, 2026.5.16.
  3. 佐々木 優希, 孟 林, “物体検出と分類モデルを融合した日本古典籍文字認識手法の実装と評価,” 電気学会・制御研究会（富山県立大学,富山）, 2026.5.16.

Year 2025

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

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, Zhenling 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).

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类,” 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による损伤崩し字の2阶段修复,” 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による行动认识精度的向上,” 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详细の调查,” 電気学会・制御研究会 (岡山大学，岡山), 2025.5.10-11.

Year 2024

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

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, Song Han, Lin Meng, Oliver Bringmann, Haoting Tang, Shang Yang, Hengyi Li, Matthias Wess, Martin Lechner, “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, Ryuto Ishibashi, Lin Meng, and Mingcong Deng , “IoT-based Leftover Food Segmentation System for Healthcare,” ICCSI 2024, Nov. 8-12, 2024 (Doha, Qatar).
  14. Yuya Yoshizu, Hayata Kaneko, Ryuto Ishibashi, Lin Meng, and Mingcong Deng , “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, Haruhiro Takahashi, and Lin Meng, “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, Ryuto Ishibashi, and Lin Meng, “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, Ryuto ISHIBASHI, Hayata KANEKO, and Lin MENG, “Leftover Food Measurement using Deep Learning Based Semantic Segmentation,” ATAIT 2024, Aug. 2024 (Kusatsu, Japan).
  21. Masayuki ISHIKAWA, Ryuto ISHIBASHI, and Lin MENG, “Norm-Regularized Token Compression in Vision Transformer Networks,” ATAIT 2024, Aug. 2024 (Kusatsu, Japan).
  22. Runqian ZHANG, Yifei GE, Qi LI, and Lin MENG, “An Improved YOLOv8 Tomato Leaf Disease Detector Based on Efficient-Net backbone,” ATAIT 2024, Aug. 2024 (Kusatsu, Japan).
  23. Zhongyu WANG, Qi LI, Yifei GE, and Lin MENG, “A Review on FPGA-Based Optimization and Applications of Deep Learning Convolutional Neural Networks,” ATAIT 2024, Aug. 2024 (Kusatsu, Japan).
  24. Yifan XU, Mengtao WANG, Zhongkui WANG, and Lin MENG, “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, Zhuo LI, Jie HAN, Ren XU, and Lin MENG, “A deep learning-based method facilitates scRNA-seq cell type identification,” NCAA 2024, July 5-7, 2024 (Guilin, China).
  27. Zhenling SU, Qi LI, Hayata KANEKO, Hengyi LI, and Lin MENG, “Optimization and Deployment of DNNs for RISC-V-based Edge AI,” IEEE RCAR 2024, June 24-28, 2024 (Alesund, Norway).
  28. Jiale REN, Aihui WANG, Lin MENG, Hengyi LI, and Yan WANG, “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.

Year 2023

Journal

  1. Yifei GE, Zhuo LI, Xuebin YUE, Hengyi LI, Qi LI and Lin MENG, “IoT-based Automatic Deep Learning Model Generation and the Application on Empty-Dish Recycling Robots,” Internet of Things, ELSEVIER, Vol.25, Art No.10147, Dec. 2023. [Download] SCI/SCIE IF:5.900 JCR:Q1
  2. Xuebin YUE and Lin MENG, “YOLO-MSA: A Multi-scale Stereoscopic Attention Network for Empty-Dish Recycling Robots,” IEEE Transactions on Instrumentation and Measurement, 2023. [Download] SCI/SCIE IF:5.600 JCR:Q1 CAS:Q2 Top
  3. Hengyi LI and Lin MENG, “Hardware-aware approach to deep neural network optimization,” Neurocomputing, Vol.559, 2023. [Download] SCI/SCIE IF:6.000 JCR:Q1 CAS:Q2 Top
  4. Xuebin YUE, Hengyi LI, and Lin MENG, “An Ultralightweight Object Detection Network for Empty-Dish Recycling Robots,” IEEE Transactions on Instrumentation and Measurement, Vol.72, pp.1-12, Art no. 2505612, 2023. [Download] SCI/SCIE IF:5.600 JCR:Q1 CAS:Q2 Top
  5. Hengyi LI, Xuebin YUE, Chengyan ZHAO, and Lin MENG, “Lightweight Deep Neural Network from Scratch,” Applied Intelligence, Vol.53, pp.1-19, 2023. [Download] SCI/SCIE IF:5.019 JCR:Q2
  6. Qi LI, Hengyi LI, and Lin MENG, “Deep Learning Architecture Improvement Based on Dynamic Pruning and Layer Fusion,” Electronics, MDPI, Vol.12, No.5, pp.60-81, 2023. [Download] SCI/SCIE IF:2.657 JCR:Q3
  7. Zhuo LI, Hengyi LI, and Lin MENG, “Model Compression for Deep Neural Networks: A Survey,” Computers, MDPI, Vol.12, No.3, pp.1208-1221, 2023. [Download] SCI/SCIE JCR:Q4
  8. Hayata KANEKO, Ryuto ISHIBASHI, and Lin MENG, “Deteriorated Characters Restoration for Early Japanese Books using Enhanced CycleGAN,” Heritage, MDPI, Vol.6, No.5, pp.4345-4361, 2023. [Download] SCI/SCIE JCR:Q1
  9. Jiale REN, Aihui WANG, Hengyi LI, Xuebin YUE, and Lin MENG, “A Transformer-based Neural Network for Gait Prediction in Lower Limb Exoskeleton Robot Using Plantar Force,” Sensors, MDPI, 23(14), 6547, 2023. [Download] SCI/SCIE JCR:Q1
  10. 藤川佳之, Xuebin YUE, Bing LYU, Qi LI, Ziming WANG, 金子隼大, 松田龍弥, 石橋 龍人, “深層学習を用いた古代文献の整理――甲骨文字、白川トレース、日本古典籍,” ART RESEARCH, 24(1), pp.29-36, 2023.
  11. Tomoki MORIOKA and Lin MENG, “IoT-based dataset augmentation method for oracle bone inscriptions reorganisation,” International Journal of Advanced Mechatronic Systems, Vol.10, No.2, 2023. [Download]
  12. Zhuo LI and Lin MENG, “Deep spiking neural networks for image classification,” International Journal of Human Factors Modelling and Simulation, Vol.8, No.1, pp.21-35, 2023. [Download]

National Conference

  1. 金子 隼大, 石橋 龍人, 孟 林, “条件付きCycleGANを用いた劣化くずし字の修復に関する试み,” 第132回人文科学とコンピュータ研究発表会, (亜細亜大学, 東京), 2023.5.20.
  2. 松井 敦己, 孟 林, “りんご外観検査に向けたYOLOの改善,” 制御研究会, (大阪工業大学, 大阪), 2023.7.1.
  3. Zhenling SU, Lin MENG, “ChatGPTを用いた深層学習モデルの構築とCPUでの高速化に関する试み,” 制御研究会, (University of Tasmania, Australia), 2023.9.11.
  4. 徐 一凡, 王 夢涛, 王 忠奎, 岳 学彬, 孟 林, 石橋龍人, “4Dプリンティングを用いた水中ロボットグリッパのモデル設計,” 制御研究会, (東京農工大学), 2023.12.16.
  5. 王 夢涛, 徐 一凡, 王 忠奎, 岳 学彬, 孟 林, “ソフトロボットにおけるバイオニッククラゲの有限要素解析,” 制御研究会, (東京農工大学), 2023.12.16.
  6. 吉津 侑哉, 金子 隼大, 石橋 龍人, 孟 林, “GAN+SEblockによる日本古代文献修復,” 制御研究会, (東京农工大学), 2023.12.16.

International Conference

  1. Ryuto ISHIBASHI, Hayata KANEKO, Naoto NOJIRI, Kenshi SAHO, and Lin MENG, “Optimized Vision Transformer for Dementia Diagnosis using Micro-Doppler Radar,” 2023 IEEE SMC, Hyatt Maui, Hawaii, USA, Oct. 1-4, 2023. 【AR=57% about 1300 submissions】
  2. Mingyuan LI, Lin MENG, and Xuebin YUE, “Yolo V4 for Kuzushiji Recognition With Synthetic Training Data Generated by GAN,” ATAIT 2023, Kusatsu, Japan, 2023.
  3. Xiangheng WANG, Hengyi LI, Xuebin YUE, and Lin MENG, “A comprehensive survey on object detection YOLO,” ATAIT 2023, Kusatsu, Japan, 2023.
  4. Shunsuke HAYASHI, Yuga ONO, Ryuto ISHIBASHI, Qi LI, and Lin MENG, “Facial Expression Recognition with Face Mask using Attention Mechanism,” ATAIT 2023, Kusatsu, Japan, 2023.
  5. Hayata KANEKO, Yuya YOSHIZU, Ryuto ISHIBASHI, and Lin MENG, “An Attempt at Zero-shot Ancient Document Restoration Based on Diffusion Models,” ICAMechS 2023, Australia, Sept. 2023.
  6. Ryuto ISHIBASHI, Hayata KANEKO, and Lin MENG, “Enhancing DETR with Attention-Based Thresholding for Efficient Early Japanese Book Reorganization,” ICAMechS 2023, Australia, Sept. 2023.
  7. Shunsuke HAYASHI, Qi LI, and Lin MENG, “Facial Expression Recognition with Face Mask using Attention Mechanism and Metric Loss,” ICAMechS 2023, Australia, Sept. 2023.
  8. Kosaburo HATTORI, Atsuki MATSUI, Tomonori IZUMI, and Lin MENG, “Defect Detection of Apples using PatchCore,” ICAMechS 2023, Australia, Sept. 2023.
  9. Atsuki MATSUI, Lin MENG, and Kosaburo HATTORI, “Enhanced YOLO using Attention for Apple grading,” ICAMechS 2023, Australia, Sept. 2023.
  10. Zhuo LI, Yifei GE, Xiangheng WANG, Xuebin YUE, and Lin MENG, “Industrial Anomaly Detection via Teacher Student Network,” ICAMechS 2023, Australia, Sept. 2023.
  11. Yifei GE, Zhuo LI, Xiangheng WANG, Xuebin YUE, and Lin MENG, “YOLO-OR: a lightweight cross-stage object detection model for dish recycling robot,” ICAMechS 2023, Australia, Sept. 2023.

Year 2022

Journal

  1. 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, Vol.56, No.3, pp.1971-2020, 2023. [Download] SCI/SCIE IF:12.00 JCR:Q1 CAS:Q2 Top
  2. Bing LYU, Hengyi LI, Ami TANAKA, and Lin MENG, “The Early Japanese Books Reorganization by Combining Image processing and Deep Learning,” CAAI Transactions on Intelligence Technology, IET, Vol.7, No.4, pp.627-643, May 2022. [Download] SCI/SCIE IF:7.985 JCR:Q1
  3. Xuebin YUE, Hengyi LI, Masao SHIMIZU, Sadao KAWAMURA, and Lin MENG, “YOLO-GD: A Deep Learning-Based Object Detection Algorithm for Empty-Dish Recycling Robots,” Machines, MDPI, Vol.10, No.5, pp.294, Apr. 2022. [Download] SCI/SCIE IF:2.467 JCR:Q2
  4. 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, Vol.15, No.76, pp.1-20, Apr. 2022. [Download] SCI/SCIE IF:2.121 JCR:Q3
  5. Yoshiyuki FUJIKAWA, Hengyi LI, Xuebin YUE, Aravinda C V, Amar Prabhu G, and Lin MENG, “Recognition of Oracle Bone Inscriptions by using Two Deep Learning Models,” International Journal of Digital Humanities, Springer, pp.15-20, 2022. [Download]
  6. Hengyi LI, Xuebin YUE, Zhichen WANG, Wenwen WANG, Zhilei CHAI, Hiroyuki TOMIYAMA, and Lin MENG, “Optimizing the deep neural networks by layer-wise refined pruning and the acceleration on FPGA,” Computational Intelligence and Neuroscience, Vol.2022, 2022. [Download] SCI/SCIE IF:3.633 JCR:Q1
  7. Kenshi SAHO, Sora HAYASHI, Mutsuki TSUYAMA, Lin MENG, and Masao MASUGI, “Machine Learning-Based Classification of Human Behaviors and Falls in Restroom via Dual Doppler Radar Measurements,” Sensors, MDPI, Vol.22, No.5, 2022. [Download] SCI/SCIE IF:3.576 JCR:Q1
  8. Zelin MENG, Lin MENG, and Hiroyuki TOMIYAMA, “Feature Classification-Based Inclination Measurement for Industrial Assembly Platform,” Wireless Communications and Mobile Computing, Vol.2022, article 5911031, 2022.2. [Download] IF:2.336
  9. Zhichen WANG, Hengyi LI, Xuebin YUE, and Lin MENG, “Design and Acceleration of Field Programmable Gate Array-Based Deep Learning for Empty-Dish Recycling Robots,” Applied Science, MDPI, Vol.10, No.5, Apr. 2022. [Download]
  10. Hayata KANEKO and Lin MENG, “敵対的生成ネットワークを用いた日本古典籍修復に関する試み,” 記要「アート・リサーチ」, Vol.23, No.1, pp.7-11, 2022.10. [Download]
  11. Qi LI, Hengyi LI, and Lin MENG, “Feature Map Analysis-based Dynamic CNN Pruning and the Acceleration on FPGAs,” Electronics, MDPI, Vol.11, No.8, 2022.9. [Download] SCI/SCIE IF:2.69 JCR:Q3
  12. Hengyi LI, Xuebin YUE, and Lin MENG, “Enhanced mechanisms of Pooling and channel-attention for deep learning feature maps,” PeerJ Computer Science, Vol.8, pp.1-18, 2022.11. [Download] SCI/SCIE IF:2.410 JCR:Q3
  13. Lin MENG, Mingcong DENG, Hongnian YU, and Shengjun WEN, “Guest Editorial: Special issue on recent developments in advanced mechatronics systems,” CAAI Transactions on Intelligence Technology, 2022.12. [Download]
  14. Xuebin YUE, Hengyi LI, and Lin MENG, “AI-based Prevention Embedded System Against COVID-19 in Daily Life,” Procedia Computer Science, Vol.202, pp.152-157, May 2022.
  15. Bing LYU, Ami TANAKA, and Lin MENG, “Computer-assisted Ancient Documents Re-organization,” Procedia Computer Science, Vol.202, pp.295-300, May 2022.
  16. Zhichen WANG, Hengyi LI, Xuebin YUE, and Lin MENG, “Briefly Analysis about CNN Accelerator based on FPGA,” Procedia Computer Science, Vol.202, pp.277-282, May 2022.

International Conference

  1. Xuebin YUE, Hengyi LI, Masao SHIMIZU, Sadao KAWAMURA, and Lin MENG, “Deep Learning-based Real-time Object Detection for Empty-Dish Recycling Robot,” In Proceedings of the 13th Asian Control Conference (ASCC), Korea, May 4-7, 2022.
  2. Zhuo LI and Lin MENG, “A survey of model pruning for deep neural network,” 2022 International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2022), Japan, August 2022.
  3. Ryuto ISHIBASHI, Naoto NOJIRI, Kenshi SAHO, and Lin MENG, “Dementia Diagnose Based on Machine Learning Using Doppler Radar Image for the Elderly Person,” 2022 International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2022), Japan, August 2022.
  4. Qi LI, Hengyi LI, and Lin MENG, “CNN Acceleration based on Dynamic Pruning and FPGAs Implementation,” International SoC Design Conference (ISOCC), Korea, October 2022.
  5. Atsuki MATSUI, Masato IINUMA, and Lin MENG, “Deep Learning Based Real-time Visual Inspection for Grading Apples,” In proceedings of the 2022 International Conference on Advanced Mechatronic Systems (ICAMechS 2022), Japan, December 2022.
  6. Ryuto ISHIBASHI, Hayata KANEKO, Xuebin YUE, and Lin MENG, “Grasp Point Calculation and Food Waste Detection for Dish-recycling Robot,” In proceedings of the 2022 International Conference on Advanced Mechatronic Systems (ICAMechS 2022), Japan, December 2022.
  7. Zhuo LI and Lin MENG, “Research on Deep Learning-based Cross-disciplinary Applications,” In proceedings of the 2022 International Conference on Advanced Mechatronic Systems (ICAMechS 2022), Japan, December 2022.
  8. Yifei GE, Xuebin YUE, and Lin MENG, “YOLO-GG: a slight object detection model for empty-dish recycling robot,” In proceedings of the 2022 International Conference on Advanced Mechatronic Systems (ICAMechS 2022), Japan, December 2022.
  9. Zhuo LI, Hengyi LI, and Lin MENG, “An efficient neural architecture search based on PCDARTS,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI 2022), USA, December 2022.
  10. Yuga ONO, Ryuto ISHIBASHI, Hayata KANEKO, Yifei GE, and Lin MENG, “Deep Learning-based Fatigue Crack Detection,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI 2022), USA, December 2022.

National Conference

  1. 李 祺, 岳 学彬, 清水 正男, 川村 貞夫, 孟 林, “食器自動回収ロボットに向けた深層学習での数据セット自動拡張,” 電気学会 制御研究会, March 2022.
  2. 王 相衡, 岳 学彬, 孟 林, “深層学習を用いた物体検出と認識の応用,” 情報処理学会第84回全国大会 (愛媛大学), March 2022.
  3. 高木 健司, 渥美 柾彦, 孟 林, “FPGA実装に向けた深层学習での量子化の検証,” 情報処理学会第84回全国大会 (愛媛大学), March 2022.
  4. 李 祺, 李 恒毅, 孟 林, “冗長計算分析とFPGA加速に基づいたコンパクトかつ高速なCNNの実現,” リコンフィギャラブルシステム研究会 (RECONF, 筑波大学), June 2022.
  5. Hengyi LI, Xuebin YUE, and Lin MENG, “Regularization based CNN Optimizing and the acceleration on FPGA,” リコンフィギャラブルシステム研究会 (RECONF, 筑波大学), June 2022.
  6. Hengyi LI and Lin MENG, “A Challenge for Deep Neural Network Design - Automatic Architecture Optimization,” 電気学会 制御研究会 (松江工業高等専門学校), November 2022.
  7. 金子 隼人, 石橋 龍人, Xuebin YUE, Hengyi LI, 孟 林, “深層学習とロボットを融合した自动下膳について,” 電気学会 制御研究会 (松江工業高等専門学校), November 2022.

Book Chapter

  1. C.V. ARAVINDA, Lin MENG, K.R. Udaya Kumar REDDY, and G. Amar PRABHU, “A deep learning approach for the prediction of heart attacks based on data analysis,” Deep Learning for Medical Applications with Unique Data, Academic Press, pp.1-18, ISBN 9780128241455, 2022. [Download]

Year 2021

Journal

  1. Zhichen WANG, Zelin MENG, Kenshi SAHO, Kazuki UEMURA, Naoto NOJIRI, and Lin MENG, “Deep Learning-based Elderly Gender Classification using Doppler Radar,” Personal and Ubiquitous Computing, Vol.26, pp.1067-1079, 2021. [Download] SCI IF:2.000
  2. Le ZHANG, Zhichen WANG, Lei WANG, Zhe ZHANG, Xu CHEN, and Lin MENG, “Machine Learning based Real-time Visible Fatigue Crack Growth Detection,” Digital Communications and Networks, Vol.7, No.4, pp.551-558, 2021. [Download] SCI/SCIE IF:5.382
  3. Xuebin YUE, Hengyi LI, Kenshi SAHO, Kazuki UEMURA, Aravinda C V, and Lin MENG, “Machine Learning based Apathy Classification on Doppler Radar Image for the Elderly Person,” Procedia Computer Science, Vol.187, pp.146-151, 2021. [Download] EI SJR:0.334
  4. Zelin MENG, Lin MENG, and Hiroyuki TOMIYAMA, “Pneumonia Diagnosis on Chest X-Rays with Machine Learning,” Procedia Computer Science, Vol.187, pp.42-51, 2021. [Download] EI SJR:0.334
  5. Bing LYU, Zhichen WANG, Hengyi LI, Ami TANAKA, Katsuyuki FURUMOTO, and Lin MENG, “Deep Leaning based Medicine Packaging Information Recognition for Medication Use in the Elderly,” Procedia Computer Science, Vol.187, pp.194-199, 2021. [Download] EI SJR:0.334
  6. Xuebin YUE, Bing LYU, Hengyi LI, Lin MENG, and Katsuyuki FURUMOTO, “Real-time Medicine Packet Recognition System in Dispensing Medicines for the Elderly,” Measurement: Sensors, Vol.18, 100072, 2021. [Download]
  7. Hengyi LI, Xuebin YUE, Zhichen WANG, Wenwen WANG, Hiroyuki TOMIYAMA, and Lin MENG, “A survey of Convolutional Neural Networks -- From software to hardware and the applications in measurement,” Measurement: Sensors, Vol.18, 100080, 2021. [Download]
  8. Xiao XUE, Deyu ZHOU, Fangyi CHEN, Xiangning YU, Zhiyong FENG, Yucong DUAN, and Lin MENG, “From SOA to VOA: A Shift in Understanding the Operation and Evolution of Service Ecosystem,” IEEE Transactions on Services Computing, Vol.15, No.6, pp.3533-3546, 2021. [Download] SCI IF:8.216
  9. Feng ZENG, Qiao CHEN, Lin MENG, and Jinsong WU, “Volunteer Assisted Collaborative Offloading and Resource Allocation in Vehicular Edge Computing,” IEEE Transactions on Intelligent Transportation Systems, Vol.22, No.6, pp.3247-3257, June 2021. [Download] SCI/SCIE IF:5.74

Book Chapter

  1. C.V. ARAVINDA, Lin MENG, K.R. Udaya Kumar REDDY, and G. Amar PRABHU, “A demystifying convolutional neural networks using Grad-CAM for prediction of coronavirus disease (COVID-19) on X-ray images,” Data Science for COVID-19, Academic Press, pp.429-450, ISBN 9780128245361, 2021. [Download]

International Conference

  1. 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 31st Great Lakes Symposium on VLSI (GLSVLSI 2021), USA, June 2021. [Download] CCF-C
  2. Yifei GE, Zhuo LI, and Lin MENG, “Tracking control of lower limb exoskeleton robot based on human plantar reaction force,” In proceedings of the 2021 International Conference on Advanced Mechatronic Systems (ICAMechS 2021), Japan, December 2021.
  3. 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 (IMEKO 2021), Japan, August 2021.
  4. 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 (IMEKO 2021), Japan, August 2021.
  5. Tomoki MORIOKA, Aravinda C V, and Lin MENG, “An AI-based Android Application for Ancient Documents Text Recognition,” 2021 International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2021), Japan, August 2021.
  6. Jianhao GONG, Hengyi LI, Qi LI, and Lin MENG, “A Deep Analysis of Group Convolution Schemes for Improving Deep Learning Performance,” 2021 International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2021), Japan, August 2021.
  7. Ziming WANG, Xuebin YUE, and Lin MENG, “An Effective Approach for Noise Reduction from Shirakawa's Hand-Notated Documents on OBIs Research,” 2021 International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2021), Japan, August 2021.
  8. Minxuan WEN, Kentaro YOKOO, Xuebin YUE, and Lin MENG, “An AI-based Mask-Wearing Status Recognition and Person Identification System,” 2021 International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2021), Japan, August 2021.
  9. Mingyuan LI, Hengyi LI, Xiangheng WANG, and Lin MENG, “A Survey on FPGA-based Deep Neural Network Accelerators,” 2021 International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2021), Japan, August 2021.
  10. Xuebin YUE, Bing LYU, Hengyi LI, Yoshiyuki FUJIKAWA, and Lin MENG, “Deep Learning and Image Processing Combined Organization of Shirakawa's Hand-Notated Documents on OBI Research,” The 2021 IEEE International Conference on Networking, Sensing and Control (IEEE ICNSC 2021), Xiamen, China, December 2021.
  11. Xuebin YUE, Hengyi LI, and Lin MENG, “AI-based Prevention Embedded System Against COVID-19 in Daily Life,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Hangzhou, China, November 2021.
  12. Bing LYU, Ami TANAKA, and Lin MENG, “Computer-assisted Ancient Documents Re-organization,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Hangzhou, China, November 2021.
  13. Zhichen WANG, Hengyi LI, Xuebin YUE, and Lin MENG, “Briefly Analysis about CNN Accelerator based on FPGA,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Hangzhou, China, November 2021.
  14. Xiangheng WANG, Xuebin YUE, Hengyi LI, and Lin MENG, “A high-efficiency dirty-egg detection system based on YOLOv4 and TensorRT,” The 2021 International Conference on Advanced Mechatronic Systems (ICAMechS 2021), Japan, December 2021.

Workshop & National Conference

  1. Qi LI, Hengyi LI, Wenwen WANG, and Lin MENG, “Deep Learning Performance-up by Feature-map Characteristic Analysis and Redundancy Reduction,” 電気学会 制御研究会 (Online), June 2021.
  2. 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), August 2021.
  3. Hengyi LI, Xuebin YUE, and Lin MENG, “Sparsity-Gradient-Based Pruning and the Vitis-AI Implementation for Compacting Deep Learning,” デザインガイア2021 -VLSI設計の新しい大地-, December 2021.

Year 2020

Journal

  1. Yaqiang ZHANG, Zhangbing ZHOU, Zhensheng SHI, Lin MENG, and Zhenjiang ZHANG, “Online Scheduling Optimization for DAG-Based Requests Through Reinforcement Learning in Collaboration Edge Networks,” IEEE Access, Vol.8, pp.72985-72996, 2020. [Download] SCI/SCIE IF:4.1
  2. Yang LIU, Lin MENG, Ittetsu TANIGUCHI, and Hiroyuki TOMIYAMA, “A Branch-and-Bound Approach to Scheduling of Data-Parallel Tasks on Multicore Architectures,” International Journal of Embedded Systems (IJES), Vol.12, No.1, pp.125-135, 2020. [Download] ESCI
  3. Lehan CHEN, Bing LYU, Hiroyuki TOMIYAMA, and Lin MENG, “A Method of Japanese Ancient Text Recognition by Deep Learning,” Procedia Computer Science, Vol.174, pp.276-279, 2020. [Download] EI
  4. Yuxi CHENG, Xiangbo KONG, Lin MENG, and Hiroyuki TOMIYAMA, “An Edge Computing Based Fall Detection IoT System for Elderly Persons,” Procedia Computer Science, Vol.174, pp.9-14, 2020. [Download] EI
  5. Xiangbo KONG, Zhe ZHANG, Lin MENG, and Hiroyuki TOMIYAMA, “Machine Learning Based Features Matching for Fatigue Crack Detection,” Procedia Computer Science, Vol.174, pp.101-105, 2020. [Download] EI
  6. Zelin MENG, Lin MENG, and Hiroyuki TOMIYAMA, “Comparison Works Regarding Camera Motion Estimation Approaches,” Procedia Computer Science, Vol.174, pp.22-26, 2020. [Download] EI
  7. Naoto NOJIRI, Zelin MENG, Kenshi SAHO, Yucong DUAN, Kazuki UEMURA, Aravinda C V, Amar PRABHU, Hiromitsu SHIMAKAWA, and Lin MENG, “Apathy Classification based on Doppler Radar Image for the Elderly Person,” Frontiers in Bioengineering and Biotechnology, Vol.8, pp.1235, 2020. [Download] SCI IF:3.644
  8. Zelin MENG, Lin MENG, and Hiroyuki TOMIYAMA, “Motion Estimation Based Inclination Measurement of Industrial Assembly Platform,” Journal of Advanced Mechatronic Systems, Vol.8, No.4, pp.155-165, 2020. [Download]
  9. Xiangbo KONG, Lin MENG, and Hiroyuki TOMIYAMA, “A Self-Learning Fall Detection System for Elderly Persons Using Depth Camera,” Journal of Advanced Mechatronic Systems, Vol.8, No.1, pp.16-25, 2020.

International Conference

  1. Bing LYU, Lin MENG, and Hiroyuki TOMIYAMA, “Frame Detection and Text Line Segmentation for Early Japanese Books Understanding,” In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), Malta, pp.600-606, February 2020. [Download]
  2. Zelin MENG, Zhiyu ZHANG, Hiroyuki TOMIYAMA, and Lin MENG, “Pneumonia Diagnosis on Chest X-Rays with Machine Learning,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI 2020), Zhuhai, China, November 2020.
  3. Xuebin YUE, Hengyi LI, Kenshi SAHO, Kazuki UEMURA, Aravinda C V, and Lin MENG, “Machine Learning based Apathy Classification on Doppler Radar Image for the Elderly Person,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI 2020), Zhuhai, China, November 2020.
  4. Bing LYU, Zhichen WANG, Lin MENG, Katsuyuki FURUMOTO, and Ami TANAKA, “Deep Leaning based Medicine Packaging Information Recognition for Medication Use in the Elderly,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI 2020), Zhuhai, China, November 2020.
  5. Xiangbo KONG, Takeshi KUMAKI, Lin MENG, and Hiroyuki TOMIYAMA, “A Skeleton Analysis Based Fall Detection Method Using ToF Camera,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI 2020), Zhuhai, China, November 2020.
  6. Masahiko ATSUMI, Syunsuke KAWANO, Tomoki MORIOKA, and Lin MENG, “Deep Learning Based Ancient Asian Character Recognition,” The 2020 International Conference on Advanced Mechatronic Systems (ICAMechS 2020), Hanoi, Vietnam, December 2020.
  7. Kentaro YOKOO, Masahiko ATSUMI, Kei TANAKA, Haoqing WANG, and Lin MENG, “Deep Learning based Emotion Recognition IoT System,” The 2020 International Conference on Advanced Mechatronic Systems (ICAMechS 2020), Hanoi, Vietnam, December 2020.
  8. Aravinda C V, Udaya Kumara Reddy K R, Lin MENG, and Amar Prabhu G, “South Indian Character Recognition Using Statistical Feature Extraction and Distance Classifier,” The 2020 International Conference on Advanced Mechatronic Systems (ICAMechS 2020), Hanoi, Vietnam, December 2020.

Workshop & National Conference

  1. 王 志辰, 冨山 宏之, 佐保 賢志, 孟 林, “GoogLeNetを用いたドップラーレーダー画像での高齢者性別の識別,” 情報処理学会第82回全国大会 (金沢工業大学), March 2020.
  2. 陳 楽ハン, 冨山 宏之, 孟 林, “CenterNetを用いる崩し文字の認識,” 情報処理学会第82回全国大会 (金沢工業大学), March 2020.
  3. 孟 林, 孟 澤林, 王 志辰, 冨山 宏之, “横断分野での深層学習について,” 電気学会・制御研究会 (帯広畜产大学), March 2020.
  4. Masahiko ATSUMI, Masato IINUMA, Lin MENG, and Wenwen WANG, “A Comprehensive Analysis of Low-Impact Computations in Deep Learning Applications,” 第19回情報科学技術フォーラム (FIT2020), September 2020.
  5. 森岡 智樹, 河野 竣介, 渥美 柾彦, 孟 林, “深層学習モデルを用いた甲骨字認識システムの構築,” 令和2年電気関係学会関西連合大会 (立命館大学), November 2020.
  6. 横尾 健太朗, 渥美 柾彦, 孟 林, “Health Care System のための小型デバイスでの入室者識別の実現,” 令和2年電気関係学会関西連合大会 (立命館大学), November 2020.
  7. 孟 林, “深層学習を用いたくずし文字の认识による日本古典籍の解読と整理のプロジェクト,” 立命館大学 アート・リサーチセンター 2019年度成果発表会, February 2020.

データセット

  1. Kazuki UEMURA, Kenshi SAHO, Lin MENG, et al., “THE ELDERLY PERSON APATHY DOPPLER RADAR IMAGE DATASET,” 2020. [Download] Note: Password required (contact menglin@fc.ritsumei.ac.jp)
  2. Aravinda C V, Kenshi SAHO, Lin MENG, et al., “Apathy classification code,” 2020. [Download]

Year 2019

Journal

  1. Xiangbo KONG, Zelin MENG, Naoto NOJIRI, Yuji IWAHORI, Lin MENG, and Hiroyuki TOMIYAMA, “A HOG-SVM Based Fall Detection IoT System for Elderly Persons Using Deep Sensor,” Procedia Computer Science, Vol.147, pp.276-282, 2019. [Download]
  2. Naoto NOJIRI, Lin MENG, Xiangbo KONG, and Hiromitsu SHIMAKAWA, “Discussion on Machine Learning and Deep Learning based Makeup Considered Eye Status Recognition for Driver Drowsiness,” Procedia Computer Science, Vol.147, pp.264-270, 2019. [Download]
  3. Xiangbo KONG, Zelin MENG, Lin MENG, and Hiroyuki TOMIYAMA, “Three-States-Transition Method for Fall Detection Algorithm Using Depth Image,” Journal of Robotics and Mechatronics, Vol.31, No.1, pp.88-94, 2019. [Download] ESCI
  4. 初田 慎弥, 孟 林, 泉 知論, “獣害対策のための監視カメラ向けアライグマ検出器の構築と評価,” 画像電子学会誌, Vol.48, No.2, pp.237-247, 2019.
  5. Yaqiang ZHANG, Lin MENG, Xiao XUE, Zhangbing ZHOU, and Hiroyuki TOMIYAMA, “QoE-Constrained Concurrent Request Optimization Through Collaboration of Edge Servers,” IEEE Internet of Things Journal, Vol.6, No.6, pp.9951-9962, 2019. [Download] SCI/SCIE IF:9.15
  6. Ayaka TAKEBAYASHI, Yuji IWAHORI, Shinji FUKUI, James J. LITTLE, Lin MENG, Aili WANG, and Boonserm KIJSIRIKUL, “Fall Detection of Elderly Persons by Action Recognition Using Data Augmentation and State Transition Diagram,” Applied Computing and Information Technology (ACIT 2019), pp.95-109, 2019.
  7. Xiangbo KONG, Lehan CHEN, Zhichen WANG, Yuxi CHENG, Lin MENG, and Hiroyuki TOMIYAMA, “Robust Self-Adaptation Fall-Detection System Based on Camera Height,” Sensors (MDPI), Vol.19, No.17, 3768, 2019. [Download] SCI/SCIE IF:3.01
  8. Feng ZENG, Lan YAO, Baoling WU, Wenjia LI, and Lin MENG, “Dynamic human contact prediction based on naive Bayes algorithm in mobile social networks,” Software: Practice and Experience, Vol.50, Issue 11, pp.2031-2045, 2019.
  9. Yang LIU, Lin MENG, and Hiroyuki TOMIYAMA, “A Genetic Algorithm for Scheduling of Data-parallel Tasks on Multicore Architectures,” IPSJ Transactions on System LSI Design Methodology, Vol.12, pp.74-77, 2019.

International Conference

  1. Xiangbo KONG, Lin MENG, and Hiroyuki TOMIYAMA, “A Neck-floor Distance Analysis Based Fall Detection System Using Deep Camera,” International Conference on Artificial Intelligence and Data Engineering (AIDE 2019), India, May 2019. Best Paper Award
  2. Zelin MENG, Xiangbo KONG, Lin MENG, and Hiroyuki TOMIYAMA, “Stereo Vision based Depth Estimation,” International Conference on Artificial Intelligence and Data Engineering (AIDE 2019), India, May 2019.
  3. Takuya EGASHIRA, Kanako SAKAMOTO, Kenta YONEHASHI, Lin MENG, Ittetsu TANIGUCHI, and Hiroyuki TOMIYAMA, “A Home Security Camera System based on Cloud and SNS,” International Conference on Artificial Intelligence and Data Engineering (AIDE 2019), India, May 2019.
  4. Zhiyu ZHANG, Yuxi CHEN, Hiroyuki TOMIYAMA, and Lin MENG, “Rubbing Characters Recognition based on Deep Learning and Lexical Analysis,” Ninth Annual Conference of Japanese Association for Digital Humanities (JADH 2019), Osaka, Japan, August 2019.
  5. Bing LYU, Hiroyuki TOMIYAMA, and Lin MENG, “Deep Learning based Japanese Early Books Understanding,” Ninth Annual Conference of Japanese Association for Digital Humanities (JADH 2019), Osaka, Japan, August 2019.
  6. Lin MENG, “Deep Learning based Ancient Literature Recognition and Preservation,” SICE Annual Conference 2019, Hiroshima, Japan, August 2019.
  7. Lin MENG, Bing LYU, Zhiyu ZHANG, C.V. ARAVINDA, Naoto KAMITOKU, and Katsuhiro YAMAZAKI, “Oracle Bone Inscription Detector Based on SSD,” International Workshop on Pattern Recognition for Cultural Heritage (PatReCH 2019), Trento, Italy, September 2019.
  8. Bing LYU, Ryo AKAMA, Hiroyuki TOMIYAMA, and Lin MENG, “The Early Japanese Books Text Line Segmentation base on Image Processing and Deep Learning,” The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), Japan, August 2019.
  9. Yuxi CHEN, Xiangbo KONG, Lehan CHEN, Hiroyuki TOMIYAMA, and Lin MENG, “A Dynamic Height Analysis on Vision Based Fall Detection System,” The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), Japan, August 2019.
  10. Lehan CHEN, Xiangbo KONG, Hiroyuki TOMIYAMA, and Lin MENG, “Multiple States Fall Detection System for Senior Citizens,” The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), Japan, August 2019.
  11. Zhiyu ZHANG, Zhichen WANG, Hiroyuki TOMIYAMA, and Lin MENG, “Deep Learning and Lexical Analysis Combined Rubbing Character Recognition,” The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), Japan, August 2019.
  12. Zhichen WANG, Kenshi SAHO, Hiroyuki TOMIYAMA, and Lin MENG, “Gender Classification of Elderly People using Doppler Radar Images based on Machine Learning,” The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), Japan, August 2019.
  13. Zelin MENG, Xiangbo KONG, Lin MENG, and Hiroyuki TOMIYAMA, “Camera Motion Estimation and Optimization Approach,” The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), Japan, August 2019.
  14. Aravinda C V, Lin MENG, and Uday Kumar Reddy K R, “An approach for signature recognition using contours based technique,” The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), Japan, August 2019.
  15. Aravinda C V, Lin MENG, Uday Kumar Reddy K R, and Amar PRABHU, “Signature Recognition and Verification Using Multiple Classifiers Combination of Hu’s and HOG Features,” The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), Japan, August 2019.
  16. Lehan CHEN, Bing LYU, Hiroyuki TOMIYAMA, and Lin MENG, “A Method of Japanese Ancient Text Recognition by Deep Learning,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI 2019), Jinan, China, October 2019.
  17. Yuxi CHENG, Xiangbo KONG, Lin MENG, and Hiroyuki TOMIYAMA, “An Edge Computing Based Fall Detection IoT System for Elderly Persons,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI 2019), Jinan, China, October 2019.
  18. Xiangbo KONG, Zhe ZHANG, Lin MENG, and Hiroyuki TOMIYAMA, “Machine Learning Based Features Matching for Fatigue Crack Detection,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI 2019), Jinan, China, October 2019.
  19. Zelin MENG, Lin MENG, and Hiroyuki TOMIYAMA, “Comparison Works Regarding Camera Motion Estimation Approaches,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI 2019), Jinan, China, October 2019.

Workshop & National Conference

  1. 坂元 花菜子, 孟 林, 冨山 宏之, “まばたき監視による居眠り防止系统,” 電気学会制御研究会 (草津), March 2019.
  2. 孟 澤林, 孔 祥博, 孟 林, 冨山 宏之, “ステレオビジョンベースの特徴抽出とマッチングアプローチ,” 電気学会制御研究会 (草津), March 2019.
  3. 孔 祥博, 孟 澤林, 孟 林, 冨山 宏之, “高齢者の見守る系统,” 電気学会制御研究会 (草津), March 2019.
  4. 宮下 洸大, 初田 慎弥, 孟 林, 泉 知論, “野生动物自动认识のためのデータベースの構築と深層学習の試行,” 画像電子学会 第288回研究会 (徳島大学), March 2019.
  5. 渡邉 清威, 孟 林, 泉 知論, “甲骨拓本からの自動文字抽出手法と支援環境,” 画像電子学会 第288回研究会 (徳島大学), March 2019.
  6. 高須 柾樹, 渡邉 清威, 孟 林, 泉 知論, “土地利用別面積推定のための地図の自動領域分類手法,” 画像電子学会 第288回研究会 (徳島大学), March 2019.
  7. Lehan CHEN, Xiangbo KONG, 冨山 宏之, and 孟 林, “状態分類による高齢者転倒危険の検知,” 第18回情報科学技術フォーラム (FIT2019), September 2019.
  8. Zhichen WANG, Xiangbo KONG, 冨山 宏之, 佐保 賢志, and 孟 林, “ドップラーレーダー画像を用いた高齢者の性別識別,” 第18回情報科学技術フォーラム (FIT2019), September 2019.
  9. Yuxi CHEN, Zhiyu ZHANG, 冨山 宏之, and 孟 林, “深層学習と語彙分析を用いた高精度な拓本文字認識の実現,” 第18回情報科学技術フォーラム (FIT2019), September 2019.
  10. Bing LYU, 冨山 宏之, and 孟 林, “画像処理と深層学習を用いた古典籍の整理,” 第18回情報科学技術フォーラム (FIT2019), September 2019.
  11. Zhiyu ZHANG, Hiroyuki TOMIYAMA, and Lin MENG, “Combining Deep Learning and Lexical Analysis method for Rubbing Character Recognition,” 人文科学とコンピュータシンポジウム, December 2019.
  12. 呂 氷, 冨山 宏之, and 孟 林, “ARU-NetとLeNetを用いた日本古典籍の自動解読,” 人文科学とコンピュータシンポジウム, December 2019.

Invited Talk

  1. 孟 林, “深層学習を用いたくずし文字の認識による日本古典籍の解読と整理のプロジェクト,” ARC Days, 立命館大学 アート・リサーチセンター, August 3, 2019.
  2. 孟 林, “深層学習を用いたアジア文化遺産の整理と保護,” 紫翠会第941回例会, 関西電力本店ビル, September 25, 2019.
  3. Lin MENG, “Culture Heritage Protection based on Artificial Intelligence,” 第九回全国(中国)文字と計算機学術研討会, 華中師範大学, 武漢, October 26, 2019.

Dataset

  1. Xiangbo KONG, Hiroyuki TOMIYAMA, and Lin MENG, “Fall Detection Dataset,” 2019. [Link]

Year 2018

Journal

  1. 孟 林, 辻 翼, 泉 知論, 落合 淳思, and 山崎 勝弘, “ハフ空間での依存マトリクスを用いた主線分抽出による甲骨文字認識,” 画像電子学会誌, Vol.47, No.4, pp.457-466, September 2018.
  2. Lin MENG, Takuma HIRAYAMA, and Shigeru OYANAGI, “Underwater-drone with Panoramic Camera for Automatic Fish Recognition Based on Deep Learning,” IEEE Access, Vol.6, No.1, pp.17880-17886, 2018. [Download] SCI/SCIE IF:4.10
  3. Lin MENG, Takuma HIRAYAMA, and Shigeru OYANAGI, “The Development of Underwater-Drone equipped with 360-degree Panorama Camera in Opensource Hardware,” Procedia Computer Science, Vol.129, pp.438-442, 2018. [Download]
  4. Yaqiang ZHANG, Zhangbing ZHOU, and Lin MENG, “Sensing Hole Coverage Mechanism for Continuous Object Boundary Region Detection in WSNs,” Wireless Communications and Mobile Computing, Vol.2018, ID 5176569, pp.1-13, May 2018. [Download] SCI/SCIE IF:1.40

International Conference

  1. Xiangbo KONG, Zelin MENG, Lin MENG, and Hiroyuki TOMIYAMA, “A Kinect-based Stand-to-fall Analysis for Elderly People,” International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2018), Osaka, Japan, April 2018.
  2. Naoto NOJIRI and Lin MENG, “Front Vehicle Detection Using Color and Spatial Clustering,” International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2018), Osaka, Japan, April 2018.
  3. Zelin MENG, Xiangbo KONG, Lin MENG, and Hiroyuki TOMIYAMA, “Coordinate Transformations for Binocular Vision Systems,” International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2018), Osaka, Japan, April 2018.
  4. Yang LIU, Lin MENG, and Hiroyuki TOMIYAMA, “A Genetic Algorithm for Scheduling of Data-Parallel Tasks,” International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2018), Osaka, Japan, April 2018.
  5. Lin MENG, Takuma HIRAYAMA, Xiangbo KONG, Zelin MENG, and Hiroyuki TOMIYAMA, “Protecting Lake Environment using Underwater-drone and Deep Learning,” Taiwan and Japan Conference on Circuits and Systems (TJCAS 2018), Taichung, Taiwan, August 2018.
  6. Xiangbo KONG, Zelin MENG, Lin MENG, and Hiroyuki TOMIYAMA, “A Danger Detection IoT System for Elderly Persons,” Taiwan and Japan Conference on Circuits and Systems (TJCAS 2018), Taichung, Taiwan, August 2018.
  7. Zelin MENG, Xiangbo KONG, Lin MENG, and Hiroyuki TOMIYAMA, “Distance Measurement for Pose Estimation based on Binocular Vision Technology,” Taiwan and Japan Conference on Circuits and Systems (TJCAS 2018), Taichung, Taiwan, August 2018.
  8. Kenta YONEHASHI, Takuya EGASHIRA, Kanako SAKAMOTO, Lin MENG, Ittetsu TANIGUCHI, and Hiroyuki TOMIYAMA, “A Security Camera System with Cloud and SNS,” Taiwan and Japan Conference on Circuits and Systems (TJCAS 2018), Taichung, Taiwan, August 2018.
  9. Xiangbo KONG, Zelin MENG, Lin MENG, and Hiroyuki TOMIYAMA, “A Privacy Protected Fall Detection IoT System for Elderly Persons using Depth Camera,” Proc. of International Conference on Advanced Mechatronic Systems (ICAMechS 2018), Zhengzhou, China, pp.31-35, August 2018.
  10. Zelin MENG, Xiangbo KONG, Lin MENG, and Hiroyuki TOMIYAMA, “Distance Measurement and Camera Calibration based on Binocular Vision Technology,” Proc. of International Conference on Advanced Mechatronic Systems (ICAMechS 2018), Zhengzhou, China, pp.349-354, August 2018.
  11. Lin MENG, Masahiro KISHI, Kana NOGAMI, Michiko NABEYA, and Katsuhiro YAMAZAKI, “Unlocking Potential Knowledge Hidden in Rubbing: Multi-style Character Recognition using Deep Learning and Spatiotemporal Rubbing Database Creation,” EuroMed 2018 - 7th International Conference on Digital Heritage, LNCS 11196, Nicosia, Cyprus, pp.741-751, October 2018.
  12. Lin MENG, C.V. ARAVINDA, K.R. Uday Kumar REDDY, Tomonori IZUMI, and Katsuhiro YAMAZAKI, “Ancient Asian Character Recognition for Literature Preservation and Understanding,” EuroMed 2018 International Conference on Digital Heritage, Nicosia, Cyprus, October 2018.
  13. Lin MENG, Naoki KAMITOKU, and Katsuhiro YAMAZAKI, “Recognition of Oracle Bone Inscriptions Using Deep Learning based on Data Augmentation,” 2018 IEEE International Conference on Metrology for Archaeology and Cultural Heritage (MetroArchaeo), Cassino, Italy, October 2018.
  14. Naoto NOJIRI, Lin MENG, Xiangbo KONG, and Hiromitsu SHIMAKAWA, “Discussion on Machine Learning and Deep Learning based Makeup Considered Eye Status Recognition for Driver Drowsiness,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI 2018), Beijing, China, October 2018.
  15. Xiangbo KONG, Zelin MENG, Naoto NOJIRI, Yuji IWAHORI, Lin MENG, and Hiroyuki TOMIYAMA, “A HOG-SVM Based Fall Detection IoT System for Elderly Persons Using Deep Sensor,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI 2018), Beijing, China, October 2018.
  16. Yaqiang ZHANG, Xiangbo KONG, Lin MENG, Zhangbing ZHOU, and Hiroyuki TOMIYAMA, “An Ocean Target Detection Mechanism in IoT Environment,” Internet Conference (IC 2018), Tokyo, Japan, November 2018.

Workshop & National Conference

  1. 鈴木 航, 孟 林, 山崎 勝弘, “深層学習における推論過程の可視化の検討,” 情報処理学会第80回全国大会 (2N-01), March 2018.
  2. 紙徳 直生, 伊藤 大喜, 多田 晃己, 孟 林, 山崎 勝弘, “深層学習を用いた甲骨文字認識,” 情報処理学会第80回全国大会 (2S-07), March 2018.
  3. 岸 雅大, 鍋谷 美智子, 野上 佳奈, 孟 林, 山崎 勝弘, “深層学習を用いた拓本の多書体認識と時空間データベースの作成,” 情報処理学会第80回全国大会 (2S-08), March 2018.
  4. 初田 慎弥, 孟 林, 泉 知論, “文化財獣害対策のための学習用データベースの構築と認識精度向上,” 画像電子学会 第284回研究会, March 2018.
  5. 渡邉 清威, 孟 林, 泉 知論, “甲骨文字解析支援のための文字領域抽出手法,” 画像電子学会 第284回研究会, March 2018.

Year 2017

Journal

  1. Lin MENG, Xiangbo KONG, and Daiki TANIGUCHI, “Dangerous Situation Detection for Elderly Persons in Restrooms Using Center of Gravity and Ellipse Detection,” Journal of Robotics and Mechatronics, Vol.29, No.6, pp.1057-1064, 2017. [Download] ESCI
  2. Lin MENG and Tomonori IZUMI, “A Combined Recognition System for Oracle Bone Inscriptions,” International Journal of Advanced Mechatronic Systems, Vol.7, No.4, pp.235-244, 2017. [Download]
  3. 初田 慎弥, 大野 真史, 泉 知論, and 孟 林, “害獣自動認識のためのアライグマ画像データベースの構築と深層学習による認識の試行,” 歴史都市防災論文集, Vol.11, pp.127-134, July 2017.
  4. Yang LIU, Lin MENG, Ittetsu TANIGUCHI, and Hiroyuki TOMIYAMA, “A Dual-mode Scheduling Approach for Task Graphs with Data Parallelism,” International Journal of Embedded Systems, Vol.9, No.2, pp.147-156, 2017. ESCI

International Conference

  1. Lin MENG, Xiangbo KONG, and Hiroyuki TOMIYAMA, “Fall Detection for Elderly Persons Using a Depth Camera,” Proceedings of the 2017 International Conference on Advanced Mechatronic Systems (ICAMechS 2017), Xiamen, China, pp.269-273, December 2017.
  2. Lin MENG, Takuma HIRAYAMA, and Shigeru OYANAGI, “The Development of Underwater-drone Equipped with 360 Degree-degree Panoramic Camera in Opensource Hardware,” International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI 2017), Qufu, China, October 2017.
  3. Lin MENG, Takuma HIRAYAMA, and Shigeru OYANAGI, “Development of Underwater-drone Equipped with 360 Degree Camera and Deep Learning Based Automatic Fish Recognition,” 2017 International Workshop on Advanced Mechatronic Systems, Xining, China, August 2017.
  4. Lin MENG, “Two-Stage Recognition for Oracle Bone Inscriptions,” Proceedings of the 19th International Conference on Image Analysis and Processing (ICIAP 2017), LNCS 10485, Catania, Italy, pp.672-682, September 2017.
  5. Lin MENG, “Recognition of Oracle Bone Inscriptions by Extracting Line Features on Image Processing,” Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2017), Porto, Portugal, pp.606-611, February 2017.

Workshop & National Conference

  1. 紙徳 直生, 孟 林, 山崎 勝弘, “深層学習を用いた二段甲骨文字认识,” 第16回情報科学技術フォーラム (FIT2017), F-020, September 2017.
  2. 初田 慎弥, 大野 真史, 泉 知論, 孟 林, “監視カメラ向けアライグマの自動検出手法の検討,” 映像情報メディア学会 (ITE), August 2017.
  3. 初田 慎弥, 大野 真史, 泉 知論, 孟 林, “害獣自動認識のためのアライグマデータベースの構築と認識の試行,” 信学会 PRMU/SP研究会, July 2017.
  4. 渡邉 清威, 孟 林, 泉 知論, “ガボールフィルタを用いた甲骨拓本からの文字領域の抽出,” 信学会 PRMU/SP研究会, July 2017.
  5. 柴田 睦月, 孟 林, 山崎 勝弘, “甲骨文字データベースの構築と候補テンプレートの検索,” 情報処理学会第79回全国大会 (2K-07), March 2017.
  6. 岸 雅大, 石井 康史, 孟 林, 山崎 勝弘, “近傍ベクトルを用いた甲骨文字の特徴点と線の検出,” 情報処理学会第79回全国大会 (2N-01), March 2017.
  7. 辻 翼, 岸 雅大, 石井 康史, 孟 林, 山崎 勝弘, “線分の距離依存関係を用いたクラスタリングでの主線分決定による甲骨文字認識,” 情報処理学会第79回全国大会 (2N-09), March 2017.
  8. 鈴木 達也, 孟 林, 泉 知論, “線分抽出パラメタの自動最適化による甲骨文字認識率の向上,” 電子情報通信学会 技術研究報告, Vol.116, No.464, pp.315-320, February 2017.
  9. 中原 優, 泉 知論, 孟 林, 白木 善史, 鎌本 優, 守谷 健弘, “高速カメラを用いた可視光通信のための光源追跡モジュールの并列化の検討,” 電子情報通信学会 技術研究報告, Vol.116, No.417, pp.19-23, January 2017.

Dataset

  1. Lin MENG, “ICIAP2017 Dataset,” [Download]
  2. Lin MENG, “IEEE ACCESS Dataset,” [Download]
  3. Lin MENG, “Rubbing Dataset,” [Download]
  4. Lin MENG, “Book Dataset,” [Download]