115 citations · 143 across the 5 of their papers we have counts for
5 papers
TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening
Nam Le, Leo Yu Zhang, Kewen Liao +2
As deep neural networks power increasingly critical applications, stealthy backdoor attacks, where poisoned training inputs trigger malicious model behaviour while appearing benign…
DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries
Muhammad Sakib Khan Inan, Kewen Liao
Internet of Things (IoT) sensors are ubiquitous technologies deployed across smart cities, industrial sites, and healthcare systems. They continuously generate time series data tha…
DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data
Muhammad Sakib Khan Inan, Kewen Liao, Haifeng Shen +3
Internet of Things (IoT) sensor data or readings evince variations in timestamp range, sampling frequency, geographical location, unit of measurement, etc. Such presented sequence…
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification
Zhibin Liao, Kewen Liao, Haifeng Shen +6
Convolutional neural networks (CNNs) have gained significant popularity in orthopedic imaging in recent years due to their ability to solve fracture classification problems. A comm…
CorrDetector: A Framework for Structural Corrosion Detection from Drone Images using Ensemble Deep Learning
Abdur Rahim Mohammad Forkan, Yong-Bin Kang, Prem Prakash Jayaraman +5
In this paper, we propose a new technique that applies automated image analysis in the area of structural corrosion monitoring and demonstrate improved efficacy compared to existin…