K. Jiang

Weakly supervised adversarial learning via latent space for hyperspectral target detection

Yun-song Li, Weiying Xie, Jie Lei, 2022, Pattern Recognit..

Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection

Weiying Xie, Gang He, Qian Du, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Spatial Sequential Recurrent Neural Network for Hyperspectral Image Classification

Chen Li, Licheng Jiao, Xiangrong Zhang, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

E2E-LIADE: End-to-End Local Invariant Autoencoding Density Estimation Model for Anomaly Target Detection in Hyperspectral Image

Tao Jiang, Q. Du, Weiying Xie, 2021, IEEE Transactions on Cybernetics.

LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection

Tao Jiang, Yunsong Li, Weiying Xie, 2021, AAAI.

Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution

Leyuan Fang, Weiying Xie, Jie Lei, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

REAF: Remembering Enhancement and Entropy-Based Asymptotic Forgetting for Filter Pruning

Leyuan Fang, Weiying Xie, Xin Zhang, 2023, IEEE Transactions on Image Processing.

A Model-Driven Deep Mixture Network for Robust Hyperspectral Anomaly Detection

Weiying Xie, Jie Lei, Xin Zhang, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Distribution-aware Interactive Attention Network and Large-scale Cloud Recognition Benchmark on FY-4A Satellite Image

Jie Lei, K. Jiang, Jiaqing Zhang, 2024, 2401.03182.