Research interests include autopilot, signal processing, and computer vision
Focuses on camera-lidar fusion methods for depth completion, object detection, semantic segmentation, tracking, and online cross-sensor calibration
Investigates vehicle-road collaboration modeling in a unified coordinate system and 4D spatiotemporal coordination of multi-sensor signals from vehicles and roadside units
In remote sensing image processing, employs advanced algorithms and multi-source data collaboration for preprocessing, feature mining, and intelligent interpretation
Optimizes processing of multi-modal remote sensing data (optical, radar, thermal infrared) with emphasis on high-precision change detection and refined ground object extraction
In medical image processing, applies image analysis techniques to improve disease classification, lesion detection, and segmentation for clinical decision-making
Explores specialized models, foundation models, and lightweight architectures, prioritizing interpretability, clinical workflow efficiency, and real-world deployment