collaborators

5 papers

eess.SP2026

Towards Real-World RUL Prediction for Aircraft Compressors Under Variable Conditions with Physics-Guided Domain Adaptation

Yang Zhang, Shashvat Prakash, Jiong Tang

Remaining useful life prediction for aircraft centrifugal air compressors in real commercial operations poses challenges that controlled benchmark datasets do not expose. In-flight…

cs.RO2026

How Should a Robot Configure Its Laser Scanner for Inspection?

Zhiling Chen, David Gorsich, Matthew P. Castanier +3

Robotic inspection relies on accurate sensing to acquire high-fidelity geometric measurements for defect detection and metrology. While prior work has focused on robot motion and v…

cs.RO2026

ScanBot: A Benchmark for Precision Robotic Surface Scanning with Industrial Laser Profilers

Zhiling Chen, Yang Zhang, Fardin Jalil Piran +3

We introduce ScanBot, a benchmark for instruction-conditioned, high-precision surface scanning with robot-mounted industrial laser profilers. Unlike existing robot learning dataset…

cs.CR2025

Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential Privacy

Fardin Jalil Piran, Zhiling Chen, Yang Zhang +3

Decentralized federated learning enables collaborative model training without a central server, but shared model updates can still leak sensitive information through inversion, rec…

cs.CV2025

Seeing the Unseen: Towards Training-Free Inspection for Wind Turbine Blades Using Knowledge-Augmented Vision Language Models

Yang Zhang, Qianyu Zhou, Farhad Imani +1

Wind turbine blades operate in harsh environments, making timely damage detection essential for preventing failures and optimizing maintenance. Drone-based inspection and deep lear…