Lanqing Guo

Lanqing Guo (过岚清)

Ph.D. student,
Nanyang Technological University, Singapore

E-mail: lanqing001 [AT] e.ntu.edu.sg

Curriculum Vitae / Google Scholar / DBLP / GitHub

About me

I'm a final-year Ph.D. student at Nanyang Technological University (NTU), Singapore, supervised by Professor Bihan Wen. My research interest is to study image/video restoration and enhancement, image generation, machine learning and optimization.

Prior to that, I received my B.Eng degree (2015-2019) in Software Engineering from Wuhan University.

News

2024/03	Two papers got accepted for CVPR2024. Congratulations to all collaborators!
2024/01	I have passed the Ph.D. oral defence and become a Dr.! 🎉

Publications

Preprint Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation
Lanqing Guo*, Yingqing He*, Haoxin Chen, Menghan Xia, Xiaodong Cun, Yufei Wang, Siyu Huang, Yong Zhang, Xintao Wang, Qifeng Chen, Ying Shan, Bihan Wen (* equal contribution)
Arxiv 2024 PDF / Code / Project Page

CVPR 2024 Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Spotlight) PDF / Code

CVPR 2024 SinSR: Diffusion-Based Image Super-Resolution in a Single Step
Yufei Wang, Wenhan Yang, Xinyuan Chen, Yaohui Wang, Lanqing Guo, Lap-Pui Chau, Ziwei Liu, Yu Qiao, Alex C. Kot, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 PDF / Code

ICCV 2023 Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal
Lanqing Guo, Chong Wang, Wenhan Yang, Yufei Wang, Bihan Wen
IEEE, International Conference on Computer Vision (ICCV), 2023 PDF

ICCV 2023 ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex Kot, Bihan Wen
IEEE, International Conference on Computer Vision (ICCV), 2023 PDF / Code

CVPR 2023 ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
Lanqing Guo, Chong Wang, Wenhan Yang, Siyu Huang, Yufei Wang, Hanspeter Pfister, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 PDF / Code

CVPR 2023 sRGB Real Noise Synthesizing with Neighboring Correlation-Aware Noise Model
Zixuan Fu*, Lanqing Guo*, Bihan Wen (* equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 PDF / Code

CVPR 2023 Raw Image Reconstruction with Learned Compact Metadata
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex Kot, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 PDF / Code

TCSVT 2023 Towards Robust Image Denoising via Flow-based Joint Image and Noise Model
Lanqing Guo, Siyu Huang, Haosen Liu, Bihan Wen
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023 PDF

TCSVT 2023 Cross-Image Disentanglement for Low-Light Enhancement in Real World
Lanqing Guo, Renjie Wan, Wwenhan Yang, Alex Kot, Bihan Wen
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023 PDF / Code

AAAI 2023 ShadowFormer: Global Context Helps Image Shadow Removal
Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen
Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023 PDF / Code

TIP 2022 Exploiting Non-Local Priors via Self-Convolution For Highly-Efficient Image Restoration
Lanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, Bihan Wen
IEEE Transactions on Image Processing (TIP), 2022 PDF / Code

ACM MM 2022 ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement
Rongkai Zhang*, Lanqing Guo*, Siyu Huang, Bihan Wen (* equal contribution)
ACM International Conference on Multimedia (ACM MM), 2022 PDF / Code

ICASSP 2021 Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration
Lanqing Guo, zhiyuan Zha, Saiprasad Ravishankar, Bihan Wen
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 PDF / Code

ICIP 2021 Multi-Scale Feature Guided Low-Light Image Enhancemen
Lanqing Guo, Renjie Wan, Guan-Ming Su, Alex C. Kot, Bihan Wen
IEEE International Conference on Image Processing (ICIP), 2021 PDF

Experience

	2019.05—Present: PhD student in Nanyang Technological University
	2023.10—2024.04: AI Lab, Tencent Research Intern, supervised by Dr Yong Zhang
	2018.12—2019.05: Multimedia Lab, SIAT, Research Intern, supervised by Prof Yu Qiao
	2015.05—2018.06: Undergraduate Research Assistant at Wuhan University

Academic Services

Review: ECCV'24, IJCV'24, CVIU'24, TCSVT'23, AAAI'23, ICASSP'22, ICME'22, ICIP'22, etc

Teaching Assistant: IE2018 Data Structure, EE4483 Art Intell & Data mining

Awards

2023	AAAI Student Travel Award, AAAI 2023
2019-Present	Research Scholarship, Nanyang Technological University
2020	First prize, Hualu Cup Data Lake Algorithm Competition (Lane detection track)
2016-2018	Excellent Student Scholarship, Wuhan University