An Effective Approach for Noise Reduction from Shirakawa's Hand-Notated Documents on OBIs Research. - Ziming Wang; Xuebin Yue; Lin Meng (ATAIT, 2021)

An AI-based Mask-Wearing Status Recognition and Person Identification System. - Minxuan Wen; Kentaro Yokoo; Xuebin Yue; Lin Meng (ATAIT, 2021)

A Comprehensive Analysis of Low-Impact Computations in Deep Learning Workloads. - Hengyi Li; Zhichen Wang; Xuebin Yue; Wenwen Wang 001; Hiroyuki Tomiyama; Lin Meng (ACM Great Lakes Symposium on VLSI, 2021)

Deep Learning and Image Processing Combined Organization of Shirakawa's Hand-Notated Documents on OBI Research. - Xuebin Yue; Bing Lyu; Hengyi Li; Yoshiyuki Fujikawa; Lin Meng (ICNSC, 2021)

Recognition of Oracle Bone Inscriptions by using Two Deep Learning Models. - Yoshiyuki Fujikawa; Hengyi Li; Xuebin Yue; C. V. Aravinda; Amar Prabhu G; Lin Meng (CoRR, 2021)

Deep Learning-based Real-time Object Detection for Empty-Dish Recycling Robot. - Xuebin Yue; Hengyi Li; Masao Shimizu; Sadao Kawamura; Lin Meng (ASCC, 2022)

Enhanced mechanisms of pooling and channel attention for deep learning feature maps. - Hengyi Li; Xuebin Yue; Lin Meng (PeerJ Comput. Sci., 2022)

Humanoid control of lower limb exoskeleton robot based on human gait data with sliding mode neural network. - Jun Yu; Shuaishuai Zhang; Aihui Wang; Wei Li; Zhengxiang Ma; Xuebin Yue (CAAI Trans. Intell. Technol., 2022)

Dynamic Dataset Augmentation for Deep Learning-based Oracle Bone Inscriptions Recognition. - Xuebin Yue; Hengyi Li; Yoshiyuki Fujikawa; Lin Meng (ACM Journal on Computing and Cultural Heritage, 2022)

Yolo V4 for Kuzushiji Recognition With Synthetic Training Data Generated by GAN. - Mingyuan Li; Xuebin Yue; Lin Meng (ATAIT, 2023)

A comprehensive survey on object detection YOLO. - Xiangheng Wang; Hengyi Li; Xuebin Yue; Lin Meng (ATAIT, 2023)

An Ultralightweight Object Detection Network for Empty-Dish Recycling Robots. - Xuebin Yue; Hengyi Li; Lin Meng (IEEE Trans. Instrum. Meas., 2023)

YOLO-MSA: A Multiscale Stereoscopic Attention Network for Empty-Dish Recycling Robots. - Xuebin Yue; Lin Meng (IEEE Trans. Instrum. Meas., 2023)

An architecture-level analysis on deep learning models for low-impact computations. - Hengyi Li; Zhichen Wang; Xuebin Yue; Wenwen Wang 001; Hiroyuki Tomiyama; Lin Meng (Artif. Intell. Rev., 2023)

A Transformer-Based Neural Network for Gait Prediction in Lower Limb Exoskeleton Robots Using Plantar Force. - Jiale Ren; Aihui Wang; Hengyi Li; Xuebin Yue; Lin Meng (Sensors, 2023)

Lightweight deep neural network from scratch. - Hengyi Li; Xuebin Yue; Chengyan Zhao; Lin Meng (Appl. Intell., 2023)

IoT-based automatic deep learning model generation and the application on Empty-dish Recycling Robots. - Yifei Ge; Zhuo Li; Xuebin Yue; Hengyi Li; Qi Li; Lin Meng (Internet Things, 2024)

YOLO-SM: A Lightweight Single-Class Multi-Deformation Object Detection Network. - Xuebin Yue; Lin Meng (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

MCAD: Multi-classification anomaly detection with relational knowledge distillation. - Zhuo Li; Yifei Ge; Xuebin Yue; Lin Meng (Neural Comput. Appl., 2024)

An unsupervised automatic organization method for Professor Shirakawa's hand-notated documents of oracle bone inscriptions. - Xuebin Yue; Ziming Wang; Ryuto Ishibashi; Hayata Kaneko; Lin Meng (Int. J. Document Anal. Recognit., 2024)