Jinxiu (Sherry) Liang

Researcher, National Institute of Informatics, Tokyo, Japan

I am a researcher at the National Institute of Informatics (NII), hosted by Prof. Imari Sato, measuring fast physical phenomena in continuous time. Before joining NII, I was a postdoctoral fellow with Prof. Boxin Shi at the National Engineering Research Center of Visual Technology, Peking University, focusing on high-speed, low-light photography with neuromorphic cameras. I received my Ph.D. and B.Eng. from South China University of Technology under Prof. Yong Xu, working closely with Prof. Hui Ji and Prof. Yuhui Quan on optimization and image priors for inverse problems.

Email / Google Scholar / DBLP / ORCID / GitHub / LinkedIn

Research (Selected | Full List)

Vision

“Information is the resolution of uncertainty.” — after Claude Shannon

Uncertainty has two resolvers: measurement and knowledge. A frame mostly re-measures what the previous frame established or knowledge predicts; the new information lives in change. I build imaging systems that sample the world on its own clock and let physics and generative priors supply the predictable rest, measuring fast, faint dynamics with a fraction of the light and data.

My research interests include:

Sensing on the world’s clock: asynchronous detectors (event, spike, and single-photon) as continuous-time instruments, maximizing information per timestamp to reconstruct the field between and beyond frames.
Time-coded illumination: physical quantities written into time and read back from timestamps: shape, spectrum, and lighting at high speed.
Physics-guided generative priors: zero-shot reconstruction where paired data cannot exist at scale, from photon-starved scenes to unconventional sensors and imaging beyond photography.

Note: # equal contribution (co-first author); * (co-)corresponding author; † co-mentored student.

EventUPS: Uncalibrated Photometric Stereo Using an Event Camera

Jinxiu Liang^#, Bohan Yu^#, Siqi Yang, Haotian Zhuang, Jieji Ren, Peiqi Duan, and Boxin Shi

IEEE International Conference on Computer Vision (ICCV), 2025 (Highlight, top 3% of 11,239 submissions)

video /ICCP 2026 Poster /bibtex

Lighting written into time, normals read from events: surpassing frame-based accuracy at 5% of the bandwidth.
@inproceedings{liang2025eventups, title = {{{EventUPS}}: {{Uncalibrated Photometric Stereo Using}} an {{Event Camera}}}, author = {Liang, Jinxiu and Yu, Bohan and Yang, Siqi and Zhuang, Haotian and Ren, Jieji and Duan, Peiqi and Shi, Boxin}, booktitle = {{{IEEE International Conference}} on {{Computer Vision}} ({{ICCV}})}, year = {2025}, }

SpikeDiff: Zero-shot High-Quality Video Reconstruction from Chromatic Spike Camera and Sub-millisecond Spike Streams

Siqi Yang^†, Jinxiu Liang^*, Zhaojun Huang, Yeliduosi Xiaokaiti, Yakun Chang, Zhaofei Yu, and Boxin Shi^*

IEEE International Conference on Computer Vision (ICCV), 2025

bibtex

Physics-guided diffusion turns sub-millisecond spike streams into color video, zero-shot.

@inproceedings{yang2025spikediff,
  title = {{{SpikeDiff}}: {{Zero-shot High-Quality Video Reconstruction}} from {{Chromatic Spike Camera}} and {{Sub-millisecond Spike Streams}}},
  author = {Yang, Siqi and Liang, Jinxiu and Huang, Zhaojun and Xiaokaiti, Yeliduosi and Chang, Yakun and Yu, Zhaofei and Shi, Boxin},
  booktitle = {{{IEEE International Conference}} on {{Computer Vision}} ({{ICCV}})},
  year = {2025},
}

Coherent Event Guided Low-Light Video Enhancement

Jinxiu Liang, Yixin Yang, Boyu Li, Peiqi Duan, Yong Xu, and Boxin Shi

IEEE International Conference on Computer Vision (ICCV), 2023

code /project page /video /bibtex

Fast and dim at once: events keep low-light video sharp and temporally coherent.

@inproceedings{liang2023coherent,
  title = {Coherent {{Event Guided Low-Light Video Enhancement}}},
  author = {Liang, Jinxiu and Yang, Yixin and Li, Boyu and Duan, Peiqi and Xu, Yong and Shi, Boxin},
  booktitle = {{{IEEE International Conference}} on {{Computer Vision}} ({{ICCV}})},
  year = {2023},
  langid = {english},
}

EventPS: Real-Time Photometric Stereo Using an Event Camera

Bohan Yu^†, Jieji Ren, Jin Han, Feishi Wang, Jinxiu Liang, and Boxin Shi

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Best Paper Runner-Up, top 4 of 11,532 submissions)

code /project page /video /bibtex

Surface normals in real time, from an event camera watching changing light.
@inproceedings{yu2024eventps, title = {{{EventPS}}: {{Real-Time Photometric Stereo Using}} an {{Event Camera}}}, author = {Yu, Bohan and Ren, Jieji and Han, Jin and Wang, Feishi and Liang, Jinxiu and Shi, Boxin}, booktitle = {{{IEEE Conference}} on {{Computer Vision}} and {{Pattern Recognition}} ({{CVPR}})}, year = {2024}, }

Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models

Yan Huang, Xiaoshan Liao, Jinxiu Liang^*, Yuhui Quan, Boxin Shi, and Yong Xu

AAAI Conference on Artificial Intelligence (AAAI), 2025

bibtex

Pre-trained latent diffusion as the prior: low-light enhancement with zero training pairs.

@inproceedings{huang2024zeroshot,
  title = {Zero-{{Shot Low-Light Image Enhancement}} via {{Latent Diffusion Models}}},
  author = {Huang, Yan and Liao, Xiaoshan and Liang, Jinxiu and Quan, Yuhui and Shi, Boxin and Xu, Yong},
  booktitle = {{{AAAI Conference}} on {{Artificial Intelligence}} ({{AAAI}})},
  year = {2025},
  doi = {10.1609/aaai.v39i4.32398},
}

Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image Domain

Hanyue Lou^#, Jinxiu Liang^#, Minggui Teng, Bin Fan, Yong Xu, and Boxin Shi

Advances in Neural Information Processing Systems (NeurIPS), 2024

code /bibtex

Visual prompting lets image-domain foundation models read event streams, no event training.

@inproceedings{lou2024zeroshot,
  title = {Zero-{{Shot Event-Intensity Asymmetric Stereo}} via {{Visual Prompting}} from {{Image Domain}}},
  author = {Lou, Hanyue and Liang, Jinxiu and Teng, Minggui and Fan, Bin and Xu, Yong and Shi, Boxin},
  booktitle = {Advances in {{Neural Information Processing Systems}} ({{NeurIPS}})},
  year = {2024},
  doi = {10.52202/079017-0423},
}

Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors

Jinxiu Liang, Yong Xu, Yuhui Quan, Boxin Shi, and Hui Ji

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022

code /bibtex

Enhancement learned from nothing but the input image, via discrepant untrained priors.

@article{liang2022selfsupervised,
  title = {Self-{{Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors}}},
  author = {Liang, Jinxiu and Xu, Yong and Quan, Yuhui and Shi, Boxin and Ji, Hui},
  journal = {IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)},
  year = {2022},
  doi = {10.1109/TCSVT.2022.3181781},
}

Recurrent Exposure Generation for Low-Light Face Detection

Jinxiu Liang, Jingwen Wang, Yuhui Quan, Tianyi Chen, Jiaying Liu, Haibin Ling, and Yong Xu

IEEE Transactions on Multimedia (TMM), 2021

code /bibtex

Multi-exposure imagined from one dark shot makes faces detectable at night.

@article{liang2021recurrent,
  title = {Recurrent {{Exposure Generation}} for {{Low-Light Face Detection}}},
  author = {Liang, Jinxiu and Wang, Jingwen and Quan, Yuhui and Chen, Tianyi and Liu, Jiaying and Ling, Haibin and Xu, Yong},
  journal = {IEEE Transactions on Multimedia (TMM)},
  year = {2021},
  doi = {10.1109/TMM.2021.3068840},
}

2026

COIL-PS: continuous and online illumination planning for photometric stereo

Jun Hoong Chan^†, Bohan Yu^*, Jieji Ren, Jinxiu Liang^*, and Boxin Shi

Optics Express, 2026

bibtex

@article{chan2026coilps,
  title = {{COIL}-{PS}: continuous and online illumination planning for photometric stereo},
  author = {Chan, Jun Hoong and Yu, Bohan and Ren, Jieji and Liang, Jinxiu and Shi, Boxin},
  journal = {Optics Express},
  year = {2026},
  doi = {10.1364/OE.587541},
  number = {6},
  pages = {9906--9924},
  volume = {34}
}

2025

EventUPS: Uncalibrated Photometric Stereo Using an Event Camera

Jinxiu Liang^#, Bohan Yu^#, Siqi Yang, Haotian Zhuang, Jieji Ren, Peiqi Duan, and Boxin Shi

IEEE International Conference on Computer Vision (ICCV), 2025 (Highlight, top 3% of 11,239 submissions)

video /ICCP 2026 Poster /bibtex

Lighting written into time, normals read from events: surpassing frame-based accuracy at 5% of the bandwidth.
@inproceedings{liang2025eventups, title = {{{EventUPS}}: {{Uncalibrated Photometric Stereo Using}} an {{Event Camera}}}, author = {Liang, Jinxiu and Yu, Bohan and Yang, Siqi and Zhuang, Haotian and Ren, Jieji and Duan, Peiqi and Shi, Boxin}, booktitle = {{{IEEE International Conference}} on {{Computer Vision}} ({{ICCV}})}, year = {2025}, }

SpikeDiff: Zero-shot High-Quality Video Reconstruction from Chromatic Spike Camera and Sub-millisecond Spike Streams

Siqi Yang^†, Jinxiu Liang^*, Zhaojun Huang, Yeliduosi Xiaokaiti, Yakun Chang, Zhaofei Yu, and Boxin Shi^*

IEEE International Conference on Computer Vision (ICCV), 2025

bibtex

Physics-guided diffusion turns sub-millisecond spike streams into color video, zero-shot.

@inproceedings{yang2025spikediff,
  title = {{{SpikeDiff}}: {{Zero-shot High-Quality Video Reconstruction}} from {{Chromatic Spike Camera}} and {{Sub-millisecond Spike Streams}}},
  author = {Yang, Siqi and Liang, Jinxiu and Huang, Zhaojun and Xiaokaiti, Yeliduosi and Chang, Yakun and Yu, Zhaofei and Shi, Boxin},
  booktitle = {{{IEEE International Conference}} on {{Computer Vision}} ({{ICCV}})},
  year = {2025},
}

Active Hyperspectral Imaging Using an Event Camera

Bohan Yu^†, Jinxiu Liang, Zhuofeng Wang, Bin Fan, Art Subpa-asa, Boxin Shi, and Imari Sato

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025 (Highlight, top 3% of 13,008 submissions)

bibtex

A sweeping rainbow encodes spectra in event timing: hyperspectral video of dynamic scenes.

@inproceedings{yu2024hyperspectral,
  title = {Active {{Hyperspectral Imaging Using}} an {{Event Camera}}},
  author = {Yu, Bohan and Liang, Jinxiu and Wang, Zhuofeng and Fan, Bin and Subpa-asa, Art and Shi, Boxin and Sato, Imari},
  booktitle = {{{IEEE Conference}} on {{Computer Vision}} and {{Pattern Recognition}} ({{CVPR}})},
  year = {2025},
}

Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models

Yan Huang, Xiaoshan Liao, Jinxiu Liang^*, Yuhui Quan, Boxin Shi, and Yong Xu

AAAI Conference on Artificial Intelligence (AAAI), 2025

bibtex

Pre-trained latent diffusion as the prior: low-light enhancement with zero training pairs.

@inproceedings{huang2024zeroshot,
  title = {Zero-{{Shot Low-Light Image Enhancement}} via {{Latent Diffusion Models}}},
  author = {Huang, Yan and Liao, Xiaoshan and Liang, Jinxiu and Quan, Yuhui and Shi, Boxin and Xu, Yong},
  booktitle = {{{AAAI Conference}} on {{Artificial Intelligence}} ({{AAAI}})},
  year = {2025},
  doi = {10.1609/aaai.v39i4.32398},
}

Multi-Focus Image Fusion via Explicit Defocus Blur Modelling

Yuhui Quan, Xi Wan, Zitao Tang, Jinxiu Liang^*, and Hui Ji

AAAI Conference on Artificial Intelligence (AAAI), 2025

bibtex

@inproceedings{quan2024multifocus,
  title = {Multi-{{Focus Image Fusion}} via {{Explicit Defocus Blur Modelling}}},
  author = {Quan, Yuhui and Wan, Xi and Tang, Zitao and Liang, Jinxiu and Ji, Hui},
  booktitle = {{{AAAI Conference}} on {{Artificial Intelligence}} ({{AAAI}})},
  year = {2025},
  doi = {10.1609/aaai.v39i6.32714},
}

V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel Simulation

Hanyue Lou^†, Jinxiu Liang, Minggui Teng, Yi Wang, and Boxin Shi

Advances in Neural Information Processing Systems (NeurIPS), 2025

bibtex

@inproceedings{lou2025v2v,
  title = {{{V2V}}: {{Scaling Event-Based Vision}} through {{Efficient Video-to-Voxel Simulation}}},
  author = {Lou, Hanyue and Liang, Jinxiu and Teng, Minggui and Wang, Yi and Shi, Boxin},
  booktitle = {Advances in {{Neural Information Processing Systems}} ({{NeurIPS}})},
  year = {2025},
}

2024

EventPS: Real-Time Photometric Stereo Using an Event Camera

Bohan Yu^†, Jieji Ren, Jin Han, Feishi Wang, Jinxiu Liang, and Boxin Shi

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Best Paper Runner-Up, top 4 of 11,532 submissions)

code /project page /video /bibtex

Surface normals in real time, from an event camera watching changing light.
@inproceedings{yu2024eventps, title = {{{EventPS}}: {{Real-Time Photometric Stereo Using}} an {{Event Camera}}}, author = {Yu, Bohan and Ren, Jieji and Han, Jin and Wang, Feishi and Liang, Jinxiu and Shi, Boxin}, booktitle = {{{IEEE Conference}} on {{Computer Vision}} and {{Pattern Recognition}} ({{CVPR}})}, year = {2024}, }

Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image Domain

Hanyue Lou^#, Jinxiu Liang^#, Minggui Teng, Bin Fan, Yong Xu, and Boxin Shi

Advances in Neural Information Processing Systems (NeurIPS), 2024

code /bibtex

Visual prompting lets image-domain foundation models read event streams, no event training.

@inproceedings{lou2024zeroshot,
  title = {Zero-{{Shot Event-Intensity Asymmetric Stereo}} via {{Visual Prompting}} from {{Image Domain}}},
  author = {Lou, Hanyue and Liang, Jinxiu and Teng, Minggui and Fan, Bin and Xu, Yong and Shi, Boxin},
  booktitle = {Advances in {{Neural Information Processing Systems}} ({{NeurIPS}})},
  year = {2024},
  doi = {10.52202/079017-0423},
}

Latency Correction for Event-guided Deblurring and Frame Interpolation

Yixin Yang^†, Jinxiu Liang, Bohan Yu, Yan Chen, Jimmy S. Ren, and Boxin Shi

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

video /bibtex

Modeling per-pixel latency makes event timestamps accurate where they drift most: in the dark.

@inproceedings{yang2024latency,
  title = {Latency {{Correction}} for {{Event-guided Deblurring}} and {{Frame Interpolation}}},
  author = {Yang, Yixin and Liang, Jinxiu and Yu, Bohan and Chen, Yan and Ren, Jimmy S. and Shi, Boxin},
  booktitle = {{{IEEE Conference}} on {{Computer Vision}} and {{Pattern Recognition}} ({{CVPR}})},
  year = {2024},
}

Detail-Preserving Diffusion Models for Low-Light Image Enhancement

Yan Huang, Xiaoshan Liao, Jinxiu Liang^*, Boxin Shi, Yong Xu, and Patrick Le Callet

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024

code /bibtex

@article{huang2024detailpreserving,
  title = {Detail-{{Preserving Diffusion Models}} for {{Low-Light Image Enhancement}}},
  author = {Huang, Yan and Liao, Xiaoshan and Liang, Jinxiu and Shi, Boxin and Xu, Yong and Callet, Patrick Le},
  journal = {IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)},
  year = {2024},
  doi = {10.1109/TCSVT.2024.3502801},
}

L-DiffER: Single Image Reflection Removal with Language-based Diffusion Model

Yuchen Hong, Haofeng Zhong, Shuchen Weng, Jinxiu Liang, and Boxin Shi

European Conference on Computer Vision (ECCV), 2024

bibtex

@inproceedings{hong2024ldiffer,
  title = {L-{{DiffER}}: {{Single Image Reflection Removal}} with {{Language-based Diffusion Model}}},
  author = {Hong, Yuchen and Zhong, Haofeng and Weng, Shuchen and Liang, Jinxiu and Shi, Boxin},
  booktitle = {{{European Conference}} on {{Computer Vision}} ({{ECCV}})},
  year = {2024},
  doi = {10.1007/978-3-031-72661-3_4},
}

Light Flickering Guided Reflection Removal

Yuchen Hong, Yakun Chang, Jinxiu Liang, Lei Ma, Tiejun Huang, and Boxin Shi

International Journal of Computer Vision (IJCV), 2024

bibtex

@article{hong2024light,
  title = {Light {{Flickering Guided Reflection Removal}}},
  author = {Hong, Yuchen and Chang, Yakun and Liang, Jinxiu and Ma, Lei and Huang, Tiejun and Shi, Boxin},
  journal = {International Journal of Computer Vision (IJCV)},
  year = {2024},
  doi = {10.1007/s11263-024-02073-z},
}

Language-Guided Image Reflection Separation

Haofeng Zhong, Yuchen Hong, Shuchen Weng, Jinxiu Liang, and Boxin Shi

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

bibtex

@inproceedings{zhong2024languageguided,
  title = {Language-Guided {{Image Reflection Separation}}},
  author = {Zhong, Haofeng and Hong, Yuchen and Weng, Shuchen and Liang, Jinxiu and Shi, Boxin},
  booktitle = {{{IEEE Conference}} on {{Computer Vision}} and {{Pattern Recognition}} ({{CVPR}})},
  year = {2024},
}

2023

Coherent Event Guided Low-Light Video Enhancement

Jinxiu Liang, Yixin Yang, Boyu Li, Peiqi Duan, Yong Xu, and Boxin Shi

IEEE International Conference on Computer Vision (ICCV), 2023

code /project page /video /bibtex

Fast and dim at once: events keep low-light video sharp and temporally coherent.

@inproceedings{liang2023coherent,
  title = {Coherent {{Event Guided Low-Light Video Enhancement}}},
  author = {Liang, Jinxiu and Yang, Yixin and Li, Boyu and Duan, Peiqi and Xu, Yong and Shi, Boxin},
  booktitle = {{{IEEE International Conference}} on {{Computer Vision}} ({{ICCV}})},
  year = {2023},
  langid = {english},
}

Learning Event Guided High Dynamic Range Video Reconstruction

Yixin Yang^†, Jin Han, Jinxiu Liang, Imari Sato, and Boxin Shi

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

code /project page /video /bibtex

@inproceedings{yang2023learninga,
  title = {Learning {{Event Guided High Dynamic Range Video Reconstruction}}},
  author = {Yang, Yixin and Han, Jin and Liang, Jinxiu and Sato, Imari and Shi, Boxin},
  booktitle = {{{IEEE Conference}} on {{Computer Vision}} and {{Pattern Recognition}} ({{CVPR}})},
  year = {2023},
  doi = {10.1109/CVPR52729.2023.01338},
}

Deblurring Low-Light Images with Events

Chu Zhou, Minggui Teng, Jin Han, Jinxiu Liang, Chao Xu, Gang Cao, and Boxin Shi

International Journal of Computer Vision (IJCV), 2023

code /bibtex

@article{zhou2023deblurring,
  title = {Deblurring {{Low-Light Images}} with {{Events}}},
  author = {Zhou, Chu and Teng, Minggui and Han, Jin and Liang, Jinxiu and Xu, Chao and Cao, Gang and Shi, Boxin},
  journal = {International Journal of Computer Vision (IJCV)},
  year = {2023},
  doi = {10.1007/s11263-023-01754-5},
}

Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition

Jipeng Lv, Heng Guo, Guanying Chen, Jinxiu Liang, and Boxin Shi

Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI), 2023

code /bibtex

@inproceedings{lv2023nonlambertian,
  title = {Non-{{Lambertian Multispectral Photometric Stereo}} via {{Spectral Reflectance Decomposition}}},
  author = {Lv, Jipeng and Guo, Heng and Chen, Guanying and Liang, Jinxiu and Shi, Boxin},
  booktitle = {{{Thirty-Second International Joint Conference}} on {{Artificial Intelligence}} ({{IJCAI}})},
  year = {2023},
  doi = {10.24963/ijcai.2023/139},
}

MARN: Multi-level Attentional Reconstruction Networks for Weakly Supervised Video Temporal Grounding

Yijun Song, Jingwen Wang, Lin Ma, Jun Yu, Jinxiu Liang, Liu Yuan, and Zhou Yu

Neurocomputing, 2023

bibtex

@article{song2023marn,
  title = {{{MARN}}: {{Multi-level Attentional Reconstruction Networks}} for {{Weakly Supervised Video Temporal Grounding}}},
  author = {Song, Yijun and Wang, Jingwen and Ma, Lin and Yu, Jun and Liang, Jinxiu and Yuan, Liu and Yu, Zhou},
  journal = {Neurocomputing},
  year = {2023},
  doi = {10.1016/j.neucom.2023.126625},
}

2022

Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors

Jinxiu Liang, Yong Xu, Yuhui Quan, Boxin Shi, and Hui Ji

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022

code /bibtex

Enhancement learned from nothing but the input image, via discrepant untrained priors.

@article{liang2022selfsupervised,
  title = {Self-{{Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors}}},
  author = {Liang, Jinxiu and Xu, Yong and Quan, Yuhui and Shi, Boxin and Ji, Hui},
  journal = {IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)},
  year = {2022},
  doi = {10.1109/TCSVT.2022.3181781},
}

2021

Recurrent Exposure Generation for Low-Light Face Detection

Jinxiu Liang, Jingwen Wang, Yuhui Quan, Tianyi Chen, Jiaying Liu, Haibin Ling, and Yong Xu

IEEE Transactions on Multimedia (TMM), 2021

code /bibtex

Multi-exposure imagined from one dark shot makes faces detectable at night.

@article{liang2021recurrent,
  title = {Recurrent {{Exposure Generation}} for {{Low-Light Face Detection}}},
  author = {Liang, Jinxiu and Wang, Jingwen and Quan, Yuhui and Chen, Tianyi and Liu, Jiaying and Ling, Haibin and Xu, Yong},
  journal = {IEEE Transactions on Multimedia (TMM)},
  year = {2021},
  doi = {10.1109/TMM.2021.3068840},
}

Encoding Spatial Distribution of Convolutional Features for Texture Representation

Yong Xu, Feng Li, Zhile Chen, Jinxiu Liang, and Yuhui Quan

Advances in Neural Information Processing Systems (NeurIPS), 2021

bibtex

@inproceedings{xu2021encoding,
  title = {Encoding {{Spatial Distribution}} of {{Convolutional Features}} for {{Texture Representation}}},
  author = {Xu, Yong and Li, Feng and Chen, Zhile and Liang, Jinxiu and Quan, Yuhui},
  booktitle = {Advances in {{Neural Information Processing Systems}} ({{NeurIPS}})},
  year = {2021},
  url = {https://openreview.net/forum?id=KnN6mh23cSX}
}

2020

Deep Bilateral Retinex for Low-Light Image Enhancement

Jinxiu Liang, Yong Xu, Yuhui Quan, Jingwen Wang, Haibin Ling, and Hui Ji

2020

arXiv /bibtex

@misc{liang2020deep,
  title = {Deep {{Bilateral Retinex}} for {{Low-Light Image Enhancement}}},
  author = {Liang, Jinxiu and Xu, Yong and Quan, Yuhui and Wang, Jingwen and Ling, Haibin and Ji, Hui},
  year = {2020},
  archiveprefix = {arXiv},
}

Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

Wenhan Yang, Ye Yuan, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang, Taiheng Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Yuqiang Zheng, Yanyun Qu, Yuhong Xie, Liang Chen, Zhonghao Li, Chen Hong, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Shuai Zheng, Minhui Zhong, Taiyi Su, Lingzhi He, Yandong Guo, Yao Zhao, Zhenfeng Zhu, Jinxiu Liang, Jingwen Wang, Tianyi Chen, Yuhui Quan, Yong Xu, Bo Liu, Xin Liu, Qi Sun, Tingyu Lin, Xiaochuan Li, Feng Lu, Lin Gu, Shengdi Zhou, Cong Cao, Shifeng Zhang, Cheng Chi, Chubing Zhuang, Zhen Lei, Stan Z. Li, Shizheng Wang, Ruizhe Liu, Dong Yi, Zheming Zuo, Jianning Chi, Huan Wang, Kai Wang, Yixiu Liu, Xingyu Gao, Zhenyu Chen, Chang Guo, Yongzhou Li, Huicai Zhong, Jing Huang, Heng Guo, Jianfei Yang, Wenjuan Liao, Jiangang Yang, Liguo Zhou, Mingyue Feng, and Likun Qin

IEEE Transactions on Image Processing (TIP), 2020

bibtex

@article{yang2020advancing,
  title = {Advancing {{Image Understanding}} in {{Poor Visibility Environments}}: {{A Collective Benchmark Study}}},
  author = {Yang, Wenhan and Yuan, Ye and Ren, Wenqi and Liu, Jiaying and Scheirer, Walter J. and Wang, Zhangyang and Zhang, Taiheng and Zhong, Qiaoyong and Xie, Di and Pu, Shiliang and Zheng, Yuqiang and Qu, Yanyun and Xie, Yuhong and Chen, Liang and Li, Zhonghao and Hong, Chen and Jiang, Hao and Yang, Siyuan and Liu, Yan and Qu, Xiaochao and Wan, Pengfei and Zheng, Shuai and Zhong, Minhui and Su, Taiyi and He, Lingzhi and Guo, Yandong and Zhao, Yao and Zhu, Zhenfeng and Liang, Jinxiu and Wang, Jingwen and Chen, Tianyi and Quan, Yuhui and Xu, Yong and Liu, Bo and Liu, Xin and Sun, Qi and Lin, Tingyu and Li, Xiaochuan and Lu, Feng and Gu, Lin and Zhou, Shengdi and Cao, Cong and Zhang, Shifeng and Chi, Cheng and Zhuang, Chubing and Lei, Zhen and Li, Stan Z. and Wang, Shizheng and Liu, Ruizhe and Yi, Dong and Zuo, Zheming and Chi, Jianning and Wang, Huan and Wang, Kai and Liu, Yixiu and Gao, Xingyu and Chen, Zhenyu and Guo, Chang and Li, Yongzhou and Zhong, Huicai and Huang, Jing and Guo, Heng and Yang, Jianfei and Liao, Wenjuan and Yang, Jiangang and Zhou, Liguo and Feng, Mingyue and Qin, Likun},
  journal = {IEEE Transactions on Image Processing (TIP)},
  year = {2020},
  doi = {10.1109/TIP.2020.2981922},
}

2019

Barzilai–Borwein-based Adaptive Learning Rate for Deep Learning

Jinxiu Liang, Yong Xu, Chenglong Bao, Yuhui Quan, and Hui Ji

Pattern Recognition Letters (PRL), 2019

code /bibtex

@article{liang2019barzilai,
  title = {Barzilai--{{Borwein-based}} Adaptive Learning Rate for Deep Learning},
  author = {Liang, Jinxiu and Xu, Yong and Bao, Chenglong and Quan, Yuhui and Ji, Hui},
  journal = {Pattern Recognition Letters (PRL)},
  year = {2019},
  doi = {10.1016/j.patrec.2019.08.029},
  langid = {english},
  pages = {197--203},
  volume = {128}
}

Research Grants (as PI)

2026 · Physics-Constrained Continuous Temporal Field Reconstruction from Asynchronous Event Streams for High-Speed Scene Analysis, JSPS KAKENHI Grant-in-Aid for Early-Career Scientists [link]
2025 · Generative Neuromorphic Photography for Low-Light High-Speed Scenarios, National Institute of Informatics
2023 · Key Technologies of Event-Guided Low-Light High-Speed Photography, National Natural Science Foundation of China (Young Scientists Fund)
2022 · Uncertainty Modeling for Image Enhancement in Real-World Low-Light Scenarios, China Postdoctoral Science Foundation

Honors & Awards

2024 · CVPR Best Paper Runner-Up [link]
2020 · Second Prize of the Guangdong Provincial Science and Technology Progress Award [link]

Reviewer Awards:

2026 · CVPR Outstanding Reviewer (top 5%) [link]
2026 · ICML Gold Reviewer (top 25%) [link]
2024 · NeurIPS Top Reviewer (top 8%) [link]
2023 · IJCV Outstanding Reviewer (1 of only 4) [link]

Professional Service

Journal reviewer: IEEE TPAMI, IJCV, IEEE TIP, IEEE TMM, IEEE TCI, IEEE TCSVT, IEEE TIM, Information Fusion
Conference reviewer: CVPR (2022–2026), ICCV (2023, 2025), ECCV (2022, 2024, 2026), NeurIPS (2024, 2025), ICML (2025, 2026), ICLR (2024), AAAI (2023, 2025)

Teaching

Spring 2022–2025 · Guest Lecturer, Computational Photography, Peking University, Lecture 11 (Intrinsic Image Decomposition)
Spring 2017–2020 · Teaching Assistant, Visual Computing, South China University of Technology
Fall 2016–2020 · Teaching Assistant, Cryptography and Security Protocols, South China University of Technology

Leadership & Service

2015 · Vice President (1 of 6 elected campus-wide), Student Union, South China University of Technology
2015 · Three-Star Volunteer community-service award, South China University of Technology
2011 · Outstanding Student Leader (sole awardee campus-wide), Guangdong Province