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About Me
Currently I am a Professor in Northwestern Polytechnical University (NPU). I was a research scientist in Inception Institute of Artifical Intelligence (IIAI), UAE. I was a research staff in the University of Adelaide. I have got my Ph.D. degree in the school of computer science, NPU, Xi'an, China. In NPU, I was supervised by Prof. Yanning Zhang and Dr. Wei Wei.
Contact me: nwpuzhanglei@nwpu.edu.cn; nwpuzhanglei@gmail.com
Google Scholar: link
Research Interests
Compressive sensing & image processing, especially on hyperspectral image
Machine learning, e.g., visual domain adaptation, unsupervised learning
Bayesian inference
Experience
Professor in the Northwestern Polytechnical University (NPU), China, Sep. 2020 to presesnt.
Research scientist in the Inception Institute of Artifical of Intelligence (IIAI), UAE, Feb. 2019 to Sep. 2020.
Research staff in The University of Adelaide, Australia, Aug. 2017 to Jan. 2019.
Visiting PHD student in The University of Adelaide, Australia, supervised by Prof. Chunhua Shen and Dr. Javen Shi, Jan. 2015 to Jan. 2017.
Recent Updates
(April, 2021) One paper “Towards Effective Hyperspectral Image Classification Using Dual-level Deep Spatial Manifold Representation” is accepted by TGRS2021.
(March, 2021) One paper “GSDet: Object Detection in Aerial Images Based on Scale Reasoning” is accepted by TIP2021.
(March, 2021) Two papers are accepted by IGARSS2021.
(March, 2021) One paper “Embarrassingly Simple Binarization for Deep Single Imagery Super-resolution Networks” is accepted by TIP2021.
(February, 2021) One paper “Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification” is accepted by CVPR 2021.
(January, 2021) One paper “Exploiting textual queries for dynamically visual disambiguation” is accepted by PR 2021.
(January, 2021) One paper "Boosting Hyperspectral Image Classification With Unsupervised Feature Learning" is accepted by TGRS 2021.
(December, 2020) One paper "Towards Accurate HDR Imaging with Learning Generator Constraints" is accepted by Neurocomputing 2020.
(December, 2020) One paper "Unsupervised Recurrent Hyperspectral Imagery Super-resolution Using Pixel-aware Refinement " is accepted by TGRS 2020.
(November, 2020) One paper "Boosting One-Shot Spectral Super-Resolution Using Transfer Learning " is accepted by TCI 2020.
(June, 2020) One paper "Deep Blind Hyperspectral Image Super-Resolution " is accepted by TNNLS 2020.
(March, 2020) One paper "Towards Effective Deep Embedding for Zero-Shot Learning " is accepted by TCSVT 2020.
(March, 2020) One paper "Unsupervised Deep Hyperspectral Super-resolution with Unregistered Images" is accepted by ICME2020.
(February, 2020) One paper "Unsupervised Adaptation Learning for Hyperspectral Imagery Super-resolution" is accepted by CVPR 2020.
(February, 2020) One paper "Deep HDR Imaging via A Non-Local Network" is accepted by TIP 2020.
(November, 2019) One paper "Data-specific Activation Function Learning for Hyperspectral Image Classification" got the best paper award in ICOT 2019.
(November, 2019) One paper "Pixel-wise Deep Function-mixture network for Spectral Super-resolution" is accepted by AAAI 2020.
(November, 2019) One paper "Accurate Tensor Completion via Adaptive Low-Rank Representation" is accepted by TNNLS 2019.
(September, 2019) One paper "Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network" is accepted by IJCV 2019.
(June, 2019) One paper "A Separation-Aggregation Network for Image Denoising" is accepted by Applied Soft Computing 2019.
(May, 2019) One paper "Learning Discriminative Compact Representation for Hyperspectral Imagery Classification" is accepted by TGRS 2019.
(May, 2019) Four papers (3 oral and 1 poster) are accepted by IGARSS 2019.
(March, 2019) One paper “Accurate Imagery Recovery Using a Multi-Observation Patch Model” is accepted by Information Science 2019
(March, 2019) One paper “Bayesian Nonnegative Matrix Factorization With a Truncated Spike-and-slab Prior” is accepted by ICME 2019.
(February, 2019) One paper “Variational Bayesian Dropout with A Hierarchical Prior” is accepted by CVPR 2019.
(January, 2019) One paper “Robust Hyperspectral Image Domain Adaptation with Noisy Labels” is accepted by GRSL 2019.
(November, 2018) One paper “One-step Adaptive Markov Random Field for Structured Compressive Sensing” is accepted by Signal Processing 2018.
(October, 2018) One paper “An Adaptive Markov Random Field for Structured Compressive Sensing” is accepted by TIP 2018.
(August, 2018) Two papers are accepted by PRCV 2018.
(July, 2018) One paper “Exploiting Clustering Manifold Structure for Hyperspectral Imagery Super-Resolution” is accepted by TIP 2018.
(July, 2018) One paper “Intra-Cluster Structured Low-Rank Matrix Analysis Method for Hyperspectral Denoising” is accepted by TGRS 2018.
(July, 2018) One paper “Deblurring Natural Image Using Super-Gaussian Fields” is accepted by ECCV 2018.
(July, 2018) Two papers are accepted by BigMM 2018.
(May, 2018) One paper “Unsupervised Domain Adaptation Using Robust Class-Wise Matching” is accepted by TCSVT 2018.
(May, 2018) One paper “Deep Cube-Pair Network for Hyperspectral Imagery Classification” is accepted by Remote Sensing 2018.
(April, 2018) One paper “Exploiting Structured Sparsity for Hyperspectral Anomaly Detection” is accepted by TGRS 2018.
(March, 2018) One paper “Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction” is accepted by IJCV 2018.
(February, 2018) One paper “Salient object detection in hyperspectral imagery using multi-scale spectral-spatial gradient” is accepted by Neurocomputing 2018.
(February, 2018) One paper “When Low Rank Representation Based Hyperspectral Imagery Classification Meets Segmented Stacked Denoising Auto-Encoder Based Spatial-Spectral Feature” is accepted by Remote Sensing 2018.
(July, 2017) One paper “Structured Sparse Coding based Hyperspectral Imagery Denoising with Intra-cluster Filtering” is accepted by TGRS 2017.
(July, 2017) One paper “When Unsupervised Domain Adaptation Meets Tensor Representations” is accepted by ICCV 2017.
(February, 2017) One paper “Hyperspectral image super resolution extending: An effective fusion based method without knowing the spatial transformation matrix” is accepted by ICME 2017.
(July, 2016) One paper “Dictionary Learning for Promoting Structured Sparsity in Hyperspectral Compressive Sensing” is accepted by TGRS 2016.
(July, 2016) One paper “Exploring Structured Sparsity by A Reweighted Laplace Prior for Hyperspectral Compressive Sensing” is accepted by TIP 2016.
(July, 2016) One paper “Cluster Sparsity Field for Hyperspectral Imagery Denoising” is accepted by ECCV 2016.
(Sept, 2015) One paper “Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior” is accepted by ICCV 2015.
(Apri, 2015) One paper "Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity" is accepted by CVPR 2015.