Jingqian Wu

Chow Yei Ching Building, Room 512, The University of Hong Kong, Pokfulam, Hong Kong, China.

My name is Jingqian Wu, a Ph.D. candidate from the Faculty of Engineering, The University of Hong Kong (HKU), supervised by Professor Edmund Y. Lam and Professor Xihui Liu. Before joining HKU, I obtained my Master’s Degree in Computer Science from Northwestern University (NU) and a Double Bachelor’s Degree in Computer Science and Finance from Wake Forest University (WFU).

My research interests lie in Computer Vision, 3D Vision, Computational Imaging, and AI. Below are some of my selected publications. You can click on the preview images to enlarge them.
For the complete list of my works, please visit my Google Scholar. I am always open to discussing research ideas and potential collaborations. Feel free to contact me using the information provided at the bottom of this page.

Selected Publications

ECCV

EventSpecPS: Photometric Stereo with Multispectral Reflectance Using an Event Camera

Jingqian Wu, Bohan Yu, Junhong Chan, and 2 more authors

In European Conference on Computer Vision (ECCV), 2026

Bib

@inproceedings{wu2026eventspecps,
  title = {EventSpecPS: Photometric Stereo with Multispectral Reflectance Using an Event Camera},
  author = {Wu, Jingqian and Yu, Bohan and Chan, Junhong and Lam, Edmund Y. and Shi, Boxin},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year = {2026},
}

TIP

Dark-EvGS: Event Camera as an Eye for Radiance Field in the Dark

Jingqian Wu, Peiqi Duan, Zongqiang Wang, and 3 more authors

IEEE Transactions on Image Processing, 2026

Bib HTML Code

@article{wu2025dark,
  title = {Dark-EvGS: Event Camera as an Eye for Radiance Field in the Dark},
  author = {Wu, Jingqian and Duan, Peiqi and Wang, Zongqiang and Wang, Changwei and Shi, Boxin and Lam, Edmund Y},
  journal = {IEEE Transactions on Image Processing},
  year = {2026},
}

TIP

Segment Anything Model Is a Good Teacher for Local Feature Learning

Jingqian Wu, Rongtao Xu, Zach Wood-Doughty, and 3 more authors

IEEE Transactions on Image Processing, 2025

Bib HTML Code

@article{wu2025segmentanything,
  title = {Segment Anything Model Is a Good Teacher for Local Feature Learning},
  author = {Wu, Jingqian and Xu, Rongtao and Wood-Doughty, Zach and Wang, Changwei and Xu, Shibiao and Lam, Edmund Y},
  journal = {IEEE Transactions on Image Processing},
  year = {2025},
  volume = {34},
  pages = {2097 - 2111},
}

TCSVT

SweepEvGS: Event-Based 3D Gaussian Splatting for Macro and Micro Radiance Field Rendering from a Single Sweep

Jingqian Wu, Shuo Zhu, Chutian Wang, and 2 more authors

IEEE Transactions on Circuits and Systems for Video Technology, 2025

Bib HTML Code

@article{wu2025sweepevgs,
  title = {SweepEvGS: Event-Based 3D Gaussian Splatting for Macro and Micro Radiance Field Rendering from a Single Sweep},
  author = {Wu, Jingqian and Zhu, Shuo and Wang, Chutian and Shi, Boxin and Lam, Edmund Y},
  journal = {IEEE Transactions on Circuits and Systems for Video Technology},
  year = {2025},
  publisher = {IEEE},
}

ADI

All-in-focus Fourier Ptychographic Microscopy via 3D Implicit Neural Representation

Jingqian Wu, Chutian Wang, Shuo Zhu, and 2 more authors

Advanced Devices and Instrumentation, 2025

Bib

@article{wu2025adi,
  title = {All-in-focus Fourier Ptychographic Microscopy via 3D Implicit Neural Representation},
  author = {Wu, Jingqian and Wang, Chutian and Zhu, Shuo and Tian, Yunfei and Lam, Edmund Y},
  journal = {Advanced Devices and Instrumentation},
  year = {2025},
}

MLSP

EV-GS: Event-based Gaussian Splatting for Efficient and Accurate Radiance Field Rendering (🏆 Best Paper Award 🏆)

Jingqian Wu, Shuo Zhu, Chutian Wang, and 1 more author

In 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), 2024

Awarded Bib HTML

Best Paper Award - Third Place

@inproceedings{wu2024ev,
  title = {EV-GS: Event-based Gaussian Splatting for Efficient and Accurate Radiance Field Rendering (🏆 Best Paper Award 🏆)},
  author = {Wu, Jingqian and Zhu, Shuo and Wang, Chutian and Lam, Edmund Y},
  booktitle = {2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)},
  pages = {1--6},
  year = {2024},
  organization = {IEEE},
}

Arxiv

Semantic-E2VID: a Semantic-Enriched Paradigm for Event-to-Video Reconstruction

Jingqian Wu, Shengpeng Xi, Yunbo Jia, and 1 more author

In Submission to Pattern Recognition, 2026

Bib HTML

@article{wu2025semantic,
  title = {Semantic-E2VID: a Semantic-Enriched Paradigm for Event-to-Video Reconstruction},
  author = {Wu, Jingqian and Xi, Shengpeng and Jia, Yunbo and Lam, Edmund Y},
  journal = {In Submission to Pattern Recognition},
  year = {2026},
}

EAAI

Dual prototypes contrastive learning based semi-supervised segmentation method for intelligent medical applications

Tianai Yue, Rongtao Xu, Jingqian Wu, and 3 more authors

Engineering Applications of Artificial Intelligence, 2025

Bib HTML

@article{yue2025dual,
  title = {Dual prototypes contrastive learning based semi-supervised segmentation method for intelligent medical applications},
  author = {Yue, Tianai and Xu, Rongtao and Wu, Jingqian and Yang, Wenjie and Du, Shide and Wang, Changwei},
  journal = {Engineering Applications of Artificial Intelligence},
  volume = {154},
  pages = {110905},
  year = {2025},
  publisher = {Elsevier},
}

Academic Service

Reviewer: IEEE Transactions on Image Processing (TIP), AAAI Conference on Artificial Intelligence (AAAI), Pattern Recognition (PR), and Engineering Applications of Artificial Intelligence (EAAI).