Brief Bio

I received my Ph.D. and Master degrees from NUDT in 2023 and 2018, respectively. Before that, I received my B.E. degree from Shandong University in 2016. Currently, I'm an assistant professor with the College of Electronic Science and Technology, NUDT. My research interests focus on optical imaging and detection, particularly on light field imaging and image super-resolution.

News


2024.02 | Our paper "Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution" is accepted to CVPR 2024.
2023.11 | One paper on multi-frame infrared small target detection is accepted to IEEE TNNLS.
2023.09 | Four papers are selected as Highly Cited Papers in the latest issue of ESI Index.
2023.07 | Two papers on light field image super-resolution and pointly supervised infrared small target detection are accepted to ICCV 2023.
2023.02 | One paper on pointly supervised infrared small target detection is accepted to CVPR 2023.
2023.01 | We are organizing NTIRE Stereo Image SR Challenge and NTIRE LF Image SR Challenge at CVPR 2023.
2022.07 | Our paper "Dense Nested Attention Network for Infrared Small Target Detection" is accepted by IEEE TIP.
2022.07 | Our paper "Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference" is accepted by IEEE TPAMI.
2022.03 | Two papers on network quantization and light field depth estimation are accepted to CVPR 2022.
2022.02 | Our paper "Disentangling Light Fields for Super-Resolution and Disparity Estimation" is accepted by IEEE TPAMI.
2022.01 | We are organizing NTIRE Stereo Image Super-Resolution Challenge at CVPR 2022.
2021.10 | Our paper "Dense Dual-Attention Network for Light Field Image Super-Resolution" is accepted by IEEE TCSVT. [pdf]
2021.10 | Our paper "Spatial-Angular Attention Network for Light Field Reconstruction" is accepted by IEEE TIP.
2021.07 | Our paper "Learning a Single Network for Scale-Arbitrary Super-Resolution" is accepted to ICCV 2021.
2021.03 | Two papers on single image super-resolution are accepted to CVPR 2021.
2020.11 | Our paper "Light Field Image Super-Resolution Using Deformable Convolution" is accepted by IEEE TIP.
2020.09 | An online tutorial (120 min in Chinese) regarding our Parallax Attention Mechanism is available here.
2020.09 | Our paper "Parallax Attention for Unsupervised Stereo Correspondence Learning" is accepted by IEEE TPAMI.
2020.07 | Our paper "Spatial-Angular Interaction for Light Field Image Super-Resolution" is accepted to ECCV 2020.
2019.12 | Our paper "DeOccNet: Learning to See Through Foreground Occlusions in Light Fields" is accepted to WACV 2020.
2019.03 | A large-scale dataset for stereo image super-resolution is available online at Flickr1024.
2019.02 | Our paper "Learning Parallax Attention for Stereo Image Super-Resolution" is accepted to CVPR 2019.

Publications --- 2024


Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution
Longguang Wang, Juncheng Li, Yingqian Wang, Qingyong Hu, Yulan Guo
CVPR, 2024.
Publications --- 2023


Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution
Zhengyu Liang, Yingqian Wang, Longguang Wang, Jungang Yang, Shilin Zhou, Yulan Guo
ICCV, 2023.
Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection
Boyang Li, Yingqian Wang, Longguang Wang, Fei Zhang, Ting Liu, Zaiping Lin, Wei An, Yulan Guo
ICCV, 2023.
Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision
Xinyi Ying, Li Liu, Yingqian Wang, Ruojing Li, Nuo Chen, Zaiping Lin, Weidong Sheng, Shilin Zhou
CVPR, 2023.
Real-World Light Field Image Super-Resolution via Degradation Modulation
Yingqian Wang, Zhengyu Liang, Longguang Wang, Jungang Yang, Wei An, Yulan Guo
arXiv, 2023.
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results
Yingqian Wang, Longguang Wang, Zhengyu Liang, Jungang Yang, Radu Timofte, Yulan Guo et al.
CVPRW, 2023.
Publications --- 2022


Disentangling Light Fields for Super-Resolution and Disparity Estimation
Yingqian Wang, Longguang Wang, Gaochang Wu, Jungang Yang, Wei An, Jingyi Yu, Yulan Guo
IEEE TPAMI, 2022. (ESI Highly Cited Paper)
Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference
Longguang Wang, Yulan Guo, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An
IEEE TPAMI, 2022.
Occlusion-Aware Cost Constructor for Light Field Depth Estimation
Yingqian Wang, Longguang Wang, Zhengyu Liang, Jungang Yang, Wei An, Yulan Guo
CVPR, 2022.
Learnable Lookup Table for Neural Network Quantization
Longguang Wang, Xiaoyu Dong, Yingqian Wang, Li Liu, Wei An, Yulan Guo
CVPR, 2022.
Dense Nested Attention Network for Infrared Small Target Detection
Boyang Li, Chao Xiao, Longguang Wang, Yingqian Wang, Zaiping Lin, Miao Li, Wei An, Yulan Guo
IEEE TIP, 2022 (ESI Highly Cited Paper)
Light Field Image Super-Resolution with Transformers
Zhengyu Liang*, Yingqian Wang*, Longguang Wang, Jungang Yang, Shilin Zhou
IEEE SPL, 2022.
Publications --- 2021


Unsupervised Degradation Representation Learning for Blind Super-Resolution
Longguang Wang, Yingqian Wang, Xiaoyu Dong, Qingyu Xu, Jungang Yang, Wei An, Yulan Guo
CVPR, 2021.
Exploring Sparsity in Image Super-Resolution for Efficient Inference
Longguang Wang, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An, Yulan Guo
CVPR, 2021.
Learning a Single Network for Scale-Arbitrary Super-Resolution
Longguang Wang, Yingqian Wang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo
ICCV, 2021.
Spatial-Angular Attention Network for Light Field Reconstruction
Gaochang Wu, Yingqian Wang, Yebin Liu, Lu Fang, Tianyou Chai
IEEE TIP, 2021.
Publications --- 2020


Parallax Attention for Unsupervised Stereo Correspondence Learning
Longguang Wang, Yulan Guo, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An
IEEE TPAMI, 2020 (ESI Highly Cited Paper)
Light Field Image Super-Resolution Using Deformable Convolution
Yingqian Wang, Jungang Yang, Longguang Wang, Xinyi Ying, Tianhao Wu, Wei An, Yulan Guo
IEEE TIP, 2020.
Spatial-Angular Interaction for Light Field Image Super-Resolution
Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Jingyi Yu, Yulan Guo
ECCV, 2020.
DeOccNet: Learning to See Through Foreground Occlusions in Light Fields
Yingqian Wang, Tianhao Wu, Jungang Yang, Longguang Wang, Wei An, Yulan Guo
WACV, 2020.
Publications --- 2019


Learning Parallax Attention for Stereo Image Super-Resolution
Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo
CVPR, 2019.
Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution
Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Yulan Guo
ICCV Workshop, 2019.
Teaching Assistance


Lecture: Optical Imaging and Detection (Spring Term, 2021)
Lecture: Optical Imaging and Detection (Autumn Term, 2020)
Lecture: Signals and Systems (Spring Term, 2020)
Lecture: Target Detection and Signal Processing (Autumn Term, 2019)
Lecture: Target Detection and Signal Processing (Autumn Term, 2018)
Awards & Honors


2023 | Excellent Doctoral Graduates of NUDT (5 over 228)
2022 | First-class Scholarship of NUDT
2021 | Outstanding Master Dissertation Award of Hunan Province
2018 | Guanghua Scholarship
2016 | Excellent Graduates of Shandong Province
2015 | The 1st Prize in the Final of China Mathematics Competitions (45 winners over 63K participants, Top 0.07%)
2015 | National Scholarship (Ministry of Education, Top 2%)
2014 | National Scholarship (Ministry of Education, Top 2%)
2013 | National Scholarship (Ministry of Education, Top 2%)

Last updated: 2023-07-23