Associate Professor · Harbin Engineering University
Multimodal image processing · Radar sensing · Spatiotemporal tracking
My research focuses on multimodal image processing and artificial intelligence for radar sensing, with an emphasis on integrated detection and recognition in multimodal and multistatic sensing systems. I also explore time-series and spatiotemporal data mining for target localization, tracking, and practical sensing applications.
- Multimodal image processing — representation learning, information fusion, and image interpretation across heterogeneous sensing modalities
- Radar signal analysis — AI-based methods for weak signal extraction, reconstruction, target detection, and recognition
- Integrated detection and recognition — joint processing of complementary observations from multiple modalities and sensing sites
- Spatiotemporal data mining and tracking — extracting temporal dependencies and spatial relationships to support target localization and tracking
| Repository | Description | Paper |
|---|---|---|
| TFIFNet | Mamba-based time–frequency interactive fusion network for SAR ship wake detection | IEEE TAES 2026 |
| HSDG-Net | Hessian-prior-guided sparse directed graph network for ship-wake detection | Pattern Recognition 2026 |
| SCRC-Net | Structure-constrained and representation-consistent network for SAR ship classification | Pattern Recognition 2026 |
Detection and recognition
- Mamba-Based Time–Frequency Interactive Fusion Network for SAR Ship Wake Detection. IEEE Transactions on Aerospace and Electronic Systems, 62: 16327–16342, 2026. DOI · Code
- SCRC-Net: A Structure-Constrained and Representation-Consistent Network for SAR Ship Classification. Pattern Recognition, 180: 114294, 2026. DOI · Code
Change detection
- SAR Image Change Detection Based on Saliency Region Guidance and SIFT Keypoint Extraction. Pattern Recognition, 172: 112471, 2026. DOI
- Synthetic Aperture Radar Image Change Detection Based on Multi-Scale Deep Adaptive Convolution and Spatial–Frequency Dual-Domain Feature Extraction. Expert Systems with Applications, 301: 130431, 2026. DOI
Time-series and signal analysis
- Micro-Amplitude Wave Detection Based on Nonlinear Representation and Underdetermined Blind Reconstruction. IEEE Internet of Things Journal, 13(15): 32820–32836, 2026. DOI
- A Water-Surface Micro-Vibration Detection Method Based on Spatiotemporal Collaborative Phase Unwrapping and Frequency-Trajectory Enhancement. IEEE Signal Processing Letters, 33: 4051–4055, 2026. DOI
Spatiotemporal sensing
- Clock Asynchronous Traffic Signal Timing for Multi-Intersections Based on a Joint Traffic Prediction and Control Method. IEEE Transactions on Vehicular Technology, 75(1): 1111–1125, 2026. DOI
- Twin-Timescale Traffic Signal Timing Method with Joint Communication Resource Allocation. IEEE Internet of Things Journal, 13(9): 18644–18660, 2026. DOI
→ Full publication list on Google Scholar
Open to collaboration on multimodal radar sensing, integrated detection and recognition, and spatiotemporal target tracking.
wanglu2019@hrbeu.edu.cn