Shujun Yang

Research

My research interests include hyperspectral remote sensing image processing and applications, pattern recognition and machine learning, etc.

Journal Papers:

1. Unlabeled Data Guided Partial Label Learning for Hyperspectral Image Classification
   S.-J. Yang, Y.-H. Jia, Y. Ding, X. Wu, D.-F. Hong
   IEEE GRSL 2024 | paper

2. Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image Classification
   S.-J. Yang, Y. Zhang, Y. Ding, D.-F. Hong
   IEEE GRSL 2023 | paper | code

3. Spectral Reweighting and Spectral Similarity Weighting for Sparse Hyperspectral Unmixing
   D.-Y. Zhang, T.-W. Wang, S.-J. Yang, Y.-H. Jia, F. Li
   IEEE GRSL 2022 | paper

4. Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification
   S.-J. Yang, Y. Zhang , Y.-H. Jia, W.-J. Zhang
   IEEE JSTARS 2022 | paper | code

5. Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification
   S.-J. Yang, J.-H. Hou , Y.-H. Jia, S.-H. Mei, Q. Du
   IEEE TIP 2021 | paper | code

6. Hyperspectral Image Classification via Sparse Representation With Incremental Dictionaries
   S.-J. Yang, J.-H. Hou , Y.-H. Jia, S.-H. Mei, Q. Du
   IEEE GRSL 2019 | paper | code

7. Pseudolabel Guided Kernel Learning for Hyperspectral Image Classification
   S.-J. Yang, J.-H. Hou , Y.-H. Jia, S.-H. Mei, Q. Du
   IEEE JSTARS 2019 | paper | code

Conference Papers:

1. Serendipity-driven Celebrity Video Hyperlinking
   S.-J. Yang, L. Pang, C.-W. Ngo, B. Huet
   ICMR 2016 | paper

2. Multi instance multi label learning with weak label
   S.-J. Yang, Y. Jiang, and Z.-H. Zhou.
   IJCAI 2013 | paper | code | Oral Presentation

Awards