19 citations · 37 across the 4 of their papers we have counts for
4 papers
Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection?
Zhiling Chen, Hanning Chen, Mohsen Imani +1
In industrial settings, the accurate detection of anomalies is essential for maintaining product quality and ensuring operational safety. Traditional industrial anomaly detection (…
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
Fardin Jalil Piran, Zhiling Chen, Mohsen Imani +1
Federated Learning (FL) has become a key method for preserving data privacy in Internet of Things (IoT) environments, as it trains Machine Learning (ML) models locally while transm…
Vision Language Model for Interpretable and Fine-grained Detection of Safety Compliance in Diverse Workplaces
Zhiling Chen, Hanning Chen, Mohsen Imani +2
Workplace accidents due to personal protective equipment (PPE) non-compliance raise serious safety concerns and lead to legal liabilities, financial penalties, and reputational dam…
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring
Fardin Jalil Piran, Prathyush P. Poduval, Hamza Errahmouni Barkam +2
Machine Learning (ML) models integrated with in-situ sensing offer transformative solutions for defect detection in Additive Manufacturing (AM), but this integration brings critica…