李茁｜黑龙江东方学院｜学者主页

2025

基于注意力机制的酒瓶裂纹敲击异常声音检测系统

王谋，白吉生，黄思维，李茁，刘鑫，杨飞然，王子腾

《计算机工程与应用》

2025

YOLO-MSD: a robust industrial surface defect detection model via multi-scale feature fusion

Yifei Ge, Zhuo Li, Lin Meng

Applied intelligence (Boston)

DOI

2025

Dataset Purification-Driven Lightweight Deep Learning Model Construction for Empty-Dish Recycling Robot

Yifei Ge, Zhuo Li, Xuebin Yue, Hengyi Li, Lin Meng

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2025

A multi-scale information fusion framework with interaction-aware global attention for industrial vision anomaly detection and localization

Zhuo Li, Yifei Ge, Lin Meng

Information Fusion

DOI

2025

Lightweight Industrial Anomaly Detection via Multi-Architecture Knowledge Distillation

Yu-Hao Yan, Zhuo Li, Chenyang Zhao, Lin Meng

2025 7th International Conference on Industrial Artificial Intelligence (IAI)

DOI

2025

A survey of deep learning for industrial visual anomaly detection

Zhuo Li, Yu-Hao Yan, Xiang-Heng Wang, Yifei Ge, Lin Meng

Artificial Intelligence Review

DOI

2024

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 of Things

DOI

2024

An efficient neural architecture search based on PCDARTS

Zhuo Li, Hengyi Li, Lin Meng

International Conference on Identification, Information, and Knowledge in the Internet of Things

DOI

2024

Deep learning-driven digital twin-enabled smart monitoring system

Yifei Ge, Zhuo Li, Lin Meng

International Conference on Knowledge-Based Intelligent Information & Engineering Systems

DOI

2024

IAD-CLIP: Vision-Language Models for Zero-Shot Industrial Anomaly Detection

Zhuo Li, Yifei Ge, Qi Li, Lin Meng

International Conference on Advanced Mechatronic Systems

DOI

2024

MCAD: Multi-classification anomaly detection with relational knowledge distillation

Zhuo Li, Yifei Ge, Xuebin Yue, Lin Meng

Neural computing & applications (Print)

DOI

2024

3D Industrial anomaly detection via dual reconstruction network

Zhuo Li, Yifei Ge, Xin Wang, Lin Meng

Applied intelligence (Boston)

DOI

2023

Deep Spiking Neural Networks for Image Classification

Zhuo Li, Li Meng

International Journal of Human Factors Modelling and Simulation

DOI

2023

Industrial Anomaly Detection via Teacher Student Network

Zhuo Li, Yifei Ge, Xiang-Heng Wang, Xuebin Yue, Lin Meng

International Conference on Advanced Mechatronic Systems

DOI

2023

YOLO-OR: a lightweight cross-stage object detection model for dish recycling robot

Yifei Ge, Zhuo Li, Xiang-Heng Wang, Xuebin Yue, Lin Meng

International Conference on Advanced Mechatronic Systems

DOI

2023

Model Compression for Deep Neural Networks: A Survey

Zhuo Li, Hengyi Li, Lin Meng

De Computis

DOI

2022

A survey of model pruning for deep neural network

Zhuo Li, Lin Meng

International Symposium on Advanced Technologies and Applications in the Internet of Things

2022

Research on Deep Learning-based Cross-disciplinary Applications

Zhuo Li, Lin Meng

International Conference on Advanced Mechatronic Systems

DOI

李茁

精选作品

期刊论文

基于注意力机制的酒瓶裂纹敲击异常声音检测系统

YOLO-MSD: a robust industrial surface defect detection model via multi-scale feature fusion

Dataset Purification-Driven Lightweight Deep Learning Model Construction for Empty-Dish Recycling Robot

A multi-scale information fusion framework with interaction-aware global attention for industrial vision anomaly detection and localization

Lightweight Industrial Anomaly Detection via Multi-Architecture Knowledge Distillation

A survey of deep learning for industrial visual anomaly detection

IoT-based automatic deep learning model generation and the application on Empty-dish Recycling Robots

An efficient neural architecture search based on PCDARTS

Deep learning-driven digital twin-enabled smart monitoring system

IAD-CLIP: Vision-Language Models for Zero-Shot Industrial Anomaly Detection

MCAD: Multi-classification anomaly detection with relational knowledge distillation

3D Industrial anomaly detection via dual reconstruction network

Deep Spiking Neural Networks for Image Classification

Industrial Anomaly Detection via Teacher Student Network

YOLO-OR: a lightweight cross-stage object detection model for dish recycling robot

Model Compression for Deep Neural Networks: A Survey

A survey of model pruning for deep neural network

Research on Deep Learning-based Cross-disciplinary Applications

研究方向