Xuebin Yue

23 papers Journal 14Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dataset Purification-Driven Lightweight Deep Learning Model Construction for Empty-Dish Recycling Robot.
IEEE Trans. Emerg. Top. Comput. Intell.
Yifei Ge, Zhuo Li, Xuebin Yue, Hengyi Li, Lin Meng
2025 — conf
Humanoid adaptive sliding mode control based on gait data.
RCAR
Yangyang Wang, Aihui Wang, Xuebin Yue, Hengyi Li, Kuozhan Wang, Jinkang Dong
2025 — conf
RBF Network-Based Adaptive Control for Humanoid Gait Data.
RCAR
Ping Liu, Junjie Xie, Aihui Wang, Hengyi Li, Xuebin Yue, Qiang Zhang
2024 J jnl
An unsupervised automatic organization method for Professor Shirakawa's hand-notated documents of oracle bone inscriptions.
Int. J. Document Anal. Recognit.
Xuebin Yue, Ziming Wang, Ryuto Ishibashi, Hayata Kaneko, Lin Meng
2024 J jnl
IoT-based automatic deep learning model generation and the application on Empty-dish Recycling Robots.
Internet Things
Yifei Ge, Zhuo Li, Xuebin Yue, Hengyi Li, Qi Li, Lin Meng
2024 J jnl
MCAD: Multi-classification anomaly detection with relational knowledge distillation.
Neural Comput. Appl.
Zhuo Li, Yifei Ge, Xuebin Yue, Lin Meng
2024 J jnl
YOLO-SM: A Lightweight Single-Class Multi-Deformation Object Detection Network.
IEEE Trans. Emerg. Top. Comput. Intell.
Xuebin Yue, Lin Meng
2023 J jnl
A Transformer-Based Neural Network for Gait Prediction in Lower Limb Exoskeleton Robots Using Plantar Force.
Sensors
JiaLe Ren, Aihui Wang, Hengyi Li, Xuebin Yue, Lin Meng
2023 — conf
A comprehensive survey on object detection YOLO.
ATAIT
Xiangheng Wang, Hengyi Li, Xuebin Yue, Lin Meng
2023 J jnl
An Ultralightweight Object Detection Network for Empty-Dish Recycling Robots.
IEEE Trans. Instrum. Meas.
Xuebin Yue, Hengyi Li, Lin Meng
2023 J jnl
An architecture-level analysis on deep learning models for low-impact computations.
Artif. Intell. Rev.
Hengyi Li, Zhichen Wang, Xuebin Yue, Wenwen Wang, Hiroyuki Tomiyama, Lin Meng
2023 J jnl
Lightweight deep neural network from scratch.
Appl. Intell.
Hengyi Li, Xuebin Yue, Chengyan Zhao, Lin Meng
2023 J jnl
YOLO-MSA: A Multiscale Stereoscopic Attention Network for Empty-Dish Recycling Robots.
IEEE Trans. Instrum. Meas.
Xuebin Yue, Lin Meng
2023 — conf
Yolo V4 for Kuzushiji Recognition With Synthetic Training Data Generated by GAN.
ATAIT
Mingyuan Li, Xuebin Yue, Lin Meng
2022 — conf
Deep Learning-based Real-time Object Detection for Empty-Dish Recycling Robot.
ASCC
Xuebin Yue, Hengyi Li, Masao Shimizu, Sadao Kawamura, Lin Meng
2022 J jnl
Dynamic Dataset Augmentation for Deep Learning-based Oracle Bone Inscriptions Recognition.
ACM Journal on Computing and Cultural Heritage
Xuebin Yue, Hengyi Li, Yoshiyuki Fujikawa, Lin Meng
2022 J jnl
Enhanced mechanisms of pooling and channel attention for deep learning feature maps.
PeerJ Comput. Sci.
Hengyi Li, Xuebin Yue, Lin Meng
2022 J jnl
Humanoid control of lower limb exoskeleton robot based on human gait data with sliding mode neural network.
CAAI Trans. Intell. Technol.
Jun Yu, Shuaishuai Zhang, Aihui Wang, Wei Li, Zhengxiang Ma, Xuebin Yue
2021 — conf
A Comprehensive Analysis of Low-Impact Computations in Deep Learning Workloads.
ACM Great Lakes Symposium on VLSI
Hengyi Li, Zhichen Wang, Xuebin Yue, Wenwen Wang, Hiroyuki Tomiyama, Lin Meng
2021 — conf
An AI-based Mask-Wearing Status Recognition and Person Identification System.
ATAIT
Minxuan Wen, Kentaro Yokoo, Xuebin Yue, Lin Meng
2021 — conf
An Effective Approach for Noise Reduction from Shirakawa's Hand-Notated Documents on OBIs Research.
ATAIT
Ziming Wang, Xuebin Yue, Lin Meng
2021 — conf
Deep Learning and Image Processing Combined Organization of Shirakawa's Hand-Notated Documents on OBI Research.
ICNSC
Xuebin Yue, Bing Lyu, Hengyi Li, Yoshiyuki Fujikawa, Lin Meng
2021 J jnl
Recognition of Oracle Bone Inscriptions by using Two Deep Learning Models.
CoRR
Yoshiyuki Fujikawa, Hengyi Li, Xuebin Yue, C. V. Aravinda, Amar Prabhu G, Lin Meng