| 2025 | ICCV | $\Phi$-GAN: Physics-Inspired GAN for Generating SAR Images Under Limited Data. | Xidan Zhang, Yihan Zhuang, Qian Guo, Haodong Yang, Xuelin Qian, Gong Cheng, Junwei Han, Zhongling Huang |
| 2024 | IGARSS | Interpretable Attributed Scattering Center Extracted via Deep Unfolding. | Haodong Yang, Zhongling Huang, Zhe Zhang |
| 2024 | IGARSS | Physardet: A New Benchmark for SAR Ship Detection. | Zhongling Huang, Zishi Wang, Xiaolan Qiu |
| 2023 | IGARSS | A new Perspective on Physics Guided Learning for SAR Image Interpretation. | Zishi Wang, Zhongling Huang, Mihai Datcu |
| 2022 | IGARSS | Aleatoric Uncertainty Embedded Transfer Learning for SEA-ICE Classification in SAR Images. | Ying Liu, Zhongling Huang, Junwei Han |
| 2021 | IGARSS | Physics-Aware Feature Learning of Sar Images with Deep Neural Networks: A Case Study. | Zhongling Huang, Corneliu Octavian Dumitru, Jun Ren |
| 2020 | IGARSS | A Hybrid and Explainable Deep Learning Framework for SAR Images. | Zhongling Huang, Mihai Datcu, Zongxu Pan, Bin Lei |
| 2019 | IGARSS | Can a Deep Network Understand the Land Cover Across Sensors? | Zhongling Huang, Corneliu Octavian Dumitru, Zongxu Pan, Bin Lei, Mihai Datcu |