Information, Inference and Machine Learning Group at University College London

Wei Pu

Postdoc

Contact

Where to Find Me

Malet Place Engineering Building
Torrington Place
London WC1E 7JE
United Kingdom

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Research Interests

Deep Learning, Sparse signal processing and their application to Art investigation

About

Wei Pu received the B.S., M.S. and Ph.D. degrees in electrical engineering from the University of Electronic Science and Technology of China, Chengdu, China in 2012, 2014 and 2018, respectively. He was a visiting researcher at Columbia University, New York, US, from 10/2017 – 10/2018. He was a recipient of the Newton Fellowship award in 2018. He is currently working as a researcher fellow at University College of London (UCL), London, UK, in the department of Electronic and Electrical Engineering.

Publications

@INPROCEEDINGS{9616096,
 		author={Pu, Wei and Huang, Junjie and Sober, Barak and Daly, Nathan and Higgitt, Catherine and Dragotti, Pier Luigi and Daubechies, Ingrid and Rodrigues, Miguel R.D.},
  		booktitle={2021 29th European Signal Processing Conference (EUSIPCO)}, 
  		title={A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs}, 
  		year={2021},
                         	volume={},
                                number={},
                                pages={1491-1495},
                                doi={10.23919/EUSIPCO54536.2021.9616096}}
	            @INPROCEEDINGS{9054651,
  		author={Pu, Wei and Sober, Barak and Daly, Nathan and Higgitt, Catherine and Daubechies, Ingrid and Rodrigues, Miguel R.D.},
  		booktitle={ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, 
  		title={A Connected Auto-Encoders Based Approach for Image Separation with Side Information: With Applications to Art Investigation}, 
  		year={2020},
  		volume={},
 		number={},
  		pages={2213-2217},
  		doi={10.1109/ICASSP40776.2020.9054651}}
                            @INPROCEEDINGS{9414141,  
                                author={Pu, Wei and Zhou, Chao and Eldar, Yonina C. and Rodrigues, Miguel R. D.}, 
                                 booktitle={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},   
                                 title={REST: Robust lEarned Shrinkage-Thresholding Network Taming Inverse Problems with Model Mismatch},  
                                  year={2021},  volume={},  number={},  pages={2885-2889}, 
                                   doi={10.1109/ICASSP39728.2021.9414141},
                                url={https://ieeexplore.ieee.org/abstract/document/9414141}}
                            @misc{pu2021robust,
                                    title={Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover}, 
                                    author={Wei Pu and Chao Zhou and Yonina C. Eldar and Miguel R. D. Rodrigues},
                                    year={2021},
                                    eprint={2110.10391},
                                    archivePrefix={arXiv},
                                    primaryClass={cs.LG},
                                    url={https://arxiv.org/abs/2110.10391}}
                            @misc{pu2022mix,
                                    title={Mixed X-Ray Image Separation for Artworks with Concealed Designs}, 
                                    author={Wei Pu and Jun-Jie Huang and Barak Sober and Nathan Daly and Catherine Higgitt and Ingrid Daubechies and Pier Luigi Dragotti and Miguel Rodigues},
                                    year={2022},
                                    eprint={2201.09167},
                                    archivePrefix={arXiv},
                                    primaryClass={cs.LG},
                                    url={https://arxiv.org/abs/2201.09167}}
                            @misc{pu2020image,
                                    title={Image Separation with Side Information: A Connected Auto-Encoders Based Approachs}, 
                                    author={Wei Pu and Barak Sober and Nathan Daly and Zahra Sabetsarvestani and Catherine Higgitt and Ingrid Daubechies and Miguel R.D. Rodrigues},
                                    year={2020},
                                    eprint={2009.07889},
                                    archivePrefix={arXiv},
                                    primaryClass={cs.LG},
                                    url={https://arxiv.org/abs/2009.07889}
                              }

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Wei Pu

Postdoc

Contact

Where to Find Me

My Feed

Research Interests

About

Publications

Articles

Books

Conference and Workshop Papers

Pre-prints and Other Publications