Publications

2026

1. 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},
   }

2. 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},
   }

3. 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},
   }

2025

1. 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},
   }

2. 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},
   }

3. 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},
   }

4. 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},
   }

2024

1. 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},
   }

2. BIBM

   AC-CAM: Affinity-Aware Contrast CAM for Weakly-Supervised Semantic Segmentation on MRI Brain Tumor

   Haili Wang, Jingqian Wu, Changwei Wang, and 3 more authors

   In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024

   Bib HTML

   @inproceedings{wang2024ac,
     title = {{AC-CAM}: Affinity-Aware Contrast {CAM} for Weakly-Supervised Semantic Segmentation on {MRI} Brain Tumor},
     author = {Wang, Haili and Wu, Jingqian and Wang, Changwei and Zhao, Min and Zhang, Duzhen and Xu, Rongtao},
     booktitle = {2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
     pages = {3768--3771},
     year = {2024},
     organization = {IEEE},
   }

2021

1. RS

   From point to region: Accurate and efficient hierarchical small object detection in low-resolution remote sensing images

   Jingqian Wu and Shibiao Xu

   Remote Sensing, 2021

   Bib

   @article{wu2021point,
     title = {From point to region: Accurate and efficient hierarchical small object detection in low-resolution remote sensing images},
     author = {Wu, Jingqian and Xu, Shibiao},
     journal = {Remote Sensing},
     volume = {13},
     number = {13},
     pages = {2620},
     year = {2021},
     publisher = {MDPI},
   }

2. DCASE

   An encoder-decoder based audio captioning system with transfer and reinforcement learning for DCASE challenge 2021 task 6

   Xinhao Mei, Qiushi Huang, Xubo Liu, and 8 more authors

   DCASE2021 Challenge, Technical Report, 2021

   Bib HTML

   @article{mei2021encoder,
     title = {An encoder-decoder based audio captioning system with transfer and reinforcement learning for {DCASE} challenge 2021 task 6},
     author = {Mei, Xinhao and Huang, Qiushi and Liu, Xubo and Chen, Gengyun and Wu, Jingqian and Wu, Yusong and Zhao, Jinzheng and Li, Shengchen and Ko, Tom and Tang, H Lilian and others},
     journal = {DCASE2021 Challenge, Technical Report},
     year = {2021},
   }