About

Bihan Wen

Nanyang Assistant Professor

School of Electrical and Electronic Engineering (EEE)

Nanyang Technological University (NTU), Singapore

 

PhD 18', MS 15', ECE , University of Illinois at Urbana-Champaign (UIUC)

BE 12', EEE , NTU, Singapore

Email: bihan.wen at ntu.edu.sg

News

  • 2021

    • [Publication] One paper has been accepted to ICME 2021 with oral presentation.

    [Publication] Two papers accepted to ICASSP 2021, including our first undergrad student paper by Kaiyi Yang. Congratulations!

    [Publication] One paper has been accepted to IEEE TNNLS , [ Codes ] [ Paper ]

    [Publication] One paper has been accepted to IEEE TIFS , [ Codes ] [ Paper ].

    [Publication] One paper has been accepted to Cytometry Part A , [ Paper ].

    [Patent] One US Patent with Dolby has been issued. [ HDR Denoising ]

    [Conference Service] I became the Area Chair (AC) for ICASSP 2021 , ICIP 2021 and ICME 2021 .

    [Conference Service] I became the Reviewer for ICCV 2021 , AAAI 2021 and CVPR 2021 .

    [Journal Service] I am organizing a Special Issue on machine learning for imaging, with Micromachines , due on May 20, 2021.

    [Event] I am invited to be the keynote speaker at UG2 Workshop @ CVPR 2021 .

    [Event] We are organizing the SPACE 2021 , which is supported by IEEE SPS and CI TC.

  • 2020

    • [Publication] Three more papers are accepted to IEEE TIP .

    [Publication] Our more paper has been accepted to ICPR 2020 . [ Preprint ]

    [Publication] Our paper accepted to ICME 2020 won the Best Paper Runner Up Award . Congrats to Zhiyuan! [ Paper ].

    [Publication] Three papers are accepted to ICIP 2020 , including our group's first student paper by Hao CHENG. Congratulations!

    [Publication] One paper is accepted to IEEE SPM [ Preprint ] [ Paper ]: Transform learning-based CS MRI and beyond.

    [Publication] One paper is accepted to IJCAI 2020 .

    [Publication] One paper is accepted to ICASSP 2020 [ Paper ].

    [Publication] Three Papers are accepted to IEEE TIP [ STROLLR ], [ BenchmarkCS ] and [ DeepDenoising ].

    [Event] We organized the VISVA 2020 AI School sponsored by IEEE SPS and ROSE Lab [ Speaker List ] .

    [Event] I gave an invited talk at the IEEE SPS Webinar Series SPACE 2020 , on Oct 20, 2020. [ Recording ]

    [Event] I gave an invited talk at VALSE Webinar 2020 , [ Slides ] [ Recording ].

    [Event] We are organizing an online webinar series SPACE 2020 , which is supported by IEEE SPS and CI TC.

    [Event] I gave an invited talk at UG2 CVPR Challenge 2020 .

    [Conference Service] I became the Area Chair (AC) for ICASSP 2020 .

    [Conference Service] I became the Reviewer for IJCAI 2020 , AAAI 2020, ECCV 2020 , CVPR 2020 and ICML 2020 .

    [Journal Service] I became the Reviewer for IEEE Transactions on Systems Man Cybernetics:Systems (SMCA) .

    [Journal Service] I became the Reviewer for IEEE Transactions on Industrial Informatics (TII) .

  • 2019

    • [Publication] Two Papers are accepted to IEEE TIP [ VIDOSAT ] and [ RRC ].

    [Publication] One Paper accepted to GeoPhysics [ Paper , Slides ]: Transform Learning for seismic wave processing.

    [Publication] One paper accepted to CCS 2019 (Top in Security, AC rate < 10%): [ HyperService ]

    [Publication] Two papers are accepted to ICIP 2019 : [ SNSS ] and [ NNNM ]

    [Patent] One US Patent with MERL titled [ Systems and Methods for Multi-Spectral Image Super-Resolution ] has been issued.

    [Patent] One US Patent with Dolby titled [ Inverse Luma/Chroma Mappings with Histogram Transfer and Approximation ] has been issued.

    [Notice] I am honored to be entitled Nanyang Assistant Professor at NTU.

    [Event] We successfully organized the LCI Workshop , jointly with ICCV 2019 .

    [Event] I gave lectures at the AI Summer Schoool @ Singapore , from 22 - 26 July, at NUS.

    [Conference Service] I became the Area Chair (AC) for ICIP 2019 and ICASSP 2019 .

    [Conference Service] I became the Program Committee (PC) for IJCAI 2019 .

    [Conference Service] I became the Reviewer for CVPR 2019 , ICCV 2019 , ICME 2019 and NeurIPS 2019 .

    [Journal Service] I became the Reviewer for Medical Image Analysis (MIA) , the official journal of the MICCAI .

    [Journal Service] I became the Reviewer for Magnetic Resonance Imaging (MRI) and SIAM Journal on Imaging Sciences (SIIMS).

    [Journal Service] I became the Reviewer for IEEE Transactions on Multimedia (TMM) and IEEE Signal Processing Letters (SPL).

    [Notice] I joined Nanyang Technological University (NTU) as a tenure-track Assistant Professor.

    Education

  • University of Illinois at Urbana-Champaign (UIUC), USA

    •      2012 - 2018, Master / PhD, Electrical and Computer Engineering (ECE)

         Advisor: Prof. Yoram Bresler

         Research Interests:

         Machine Learning, Sparse / Low-Rank Representation, Image / Video Processing,

         Computer Vision, Computational Imaging, Optimization.

  • Nanyang Technological University (NTU), Singapore

    •      2008 - 2012, Bachelor, Electrical and Electronic Engineering (EEE)

         Advisor: Prof. Yilong Lu

     

    Selected Publications

  • Preprint

    •       T. Bai, J. Luo, J. Zhao, B. Wen and Q. Wang, "Recent Advances in Adversarial Training for Adversarial Robustness" [ Arxiv:2102.01356 ]

          Y. Li, B. Wen, H. Cheng, and Y. Bresler, "Joint Dimensionality Reduction for Separable Embedding Estimation," [ Arxiv:2101.05500 ]

          T. Bai, J. Chen, J. Zhao, B. Wen, X. Jiang and A. Kot, "Feature Distillation With Guided Adversarial Contrastive Learning" [ Arxiv:2009.09922 ]

          H. Cheng, J. T. Zhou, W. P. Tay and B. Wen, "Attentive Graph Neural Networks for Few-Shot Learning," [ Arxiv:2007.06878 ]

          Z Shao, Y Pu, J Zhou, B. Wen and Y Zhang , "Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling On-the-Fly for Moving Object Detection," [ Arxiv:2006.07795 ]

          B. Wen, Y. Li, Y. Li, and Y. Bresler, "A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems," [ Arxiv:2003.12985 ]

  • 2021

    •       Z. Zha, B. Wen, X. Yuan, J. Zhou, C. Zhu and Alex C. Kot, "A Hybrid Structural Sparsification Error Model for Image Restoration," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. [ Codes ] [ Paper ]

          M. Pang, B. Wang, Y-M Cheung, Y. Chen and B. Wen, "VD-GAN: A Unified Framework for Joint Prototype and Representation Learning from Contaminated Single Sample per Person," IEEE Transactions on Information Forensics and Security (TIFS), 2021. [ Codes ] [ Paper ]

          S. Luo, K-T. Nguyan, B. T-T. Nguyen, S. Feng, Y. Shi, A. Elsayed, Y. Zhang, X. Zhou, B. Wen, G. Chierchia, H. Talbot, T. Bourouina, X. Jiang and A-Q. Liu, "Deep Learning-Enabled Imaging Flow Cytometry for High-Speed Cryptosporidium and Giardia Detection," Cytometry Part A, [ Paper ].

          M. Pang, B. Wang, Y-M Cheung, Y. Chen and B. Wen, "Disentangling Prototype and Variation for Single Sample Face Recognition," IEEE International Conference on Multimedia and Expo (ICME), 2021, to appear.

          L. Guo, Z. Zha, S. Ravishankar and B. Wen, "Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration," IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), 2021, Accepted. [ Arxiv:2006.13714 ]

          K. Yang, N. Borijindargoon, B-P. Ng, S. Ravishankar and B. Wen, "Learning Sparsifying Transforms for Image Reconstruction in Electrical Impedance Tomography," IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), 2021, Accepted.

  • 2020

    •       B. Wen, S. Ravishankar, L. Pfister, and Y. Bresler, "Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks," IEEE Signal Processing Magazine (SPM), 2020. [ Arxiv:1903.11431 ] [ Paper ]

          B. Wen, Y. Li, and Y. Bresler, "Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers," IEEE Transcations on Image Processing (TIP), 2020. [ Arxiv:1808.01316 ] [ Paper ]

          Z. Zha, X. Yuan, B. Wen, J. Zhou and C. Zhu, "Group Sparsity Residual Constraint with Non-Local Priors for Image Restoration," IEEE Transactions on Image Processing (TIP), 2020. [ Paper ] [ Codes ]

          D. Liu, B. Wen, J. Jiao, X. Liu, Z. Wang, and T. Huang, "Connecting Image Denoising and High-Level Vision Tasks via Deep Learning," IEEE Transcations on Image Processing (TIP), 2020. [ Arxiv:1809.01826 ] [ Paper ] [ Codes ]

          Z. Zha, X. Yuan, J. Zhou, Ce Zhu, and B. Wen, "Image Restoration via Simultaneous Nonlocal Self-Similarity Priors," IEEE Transcations on Image Processing (TIP), 2020. [ Paper ] [ Codes ]

          Z. Zha, X. Yuan, B. Wen, J. Zhang, J. Zhou, and Ce Zhu, "Image Restoration Using Joint Patch-Group Based Sparse Representation," IEEE Transcations on Image Processing (TIP), 2020. [ Paper ] [ Codes ]

          Z. Zha, X. Yuan, B. Wen, J. Zhou, J. Zhang, and C. Zhu, "A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization," IEEE Transcations on Image Processing (TIP), 2020. [ Arxiv:1709.03979 ] [ Paper ] [ Codes ]

          X. Liu, F. Li, B. Wen and Q. Li, "Removing Backdoor-Based Watermarks in Neural Networks with Limited Data," International Conference on Pattern Recognition (ICPR), 2020, Accepted. [ Arxiv:2008.00407 ]

          H. Cheng and B. Wen, "Joint Statistical and Spatial Sparse Representation for Robust Image and Image-Set Classification," IEEE International Conference on Image Processing (ICIP), 2020, Accepted. [ Paper ]

          X. Yang, X. Zhao, G. Tjio, C. Chen, L. Wang, B. Wen, and Y. Su, "OpenCC – An Open Benchmark Dataset for Corpus Callosum Segmentation and Evaluation," IEEE International Conference on Image Processing (ICIP), 2020, Accepted. [ Paper ] [ Dataset ]

          Z. Zha, X. Yuan, T. Zhou, J. Zhou, B. Wen, and Ce Zhu, "The Power of Triply Complementary Priors for Image Compressive Sensing," IEEE International Conference on Image Processing (ICIP), 2020, Accepted. [ Arxiv:2005.07902 ] [ Codes ] [ Paper ]

          Z. Zha, B. Wen, X. Yuan, J. Zhou, and Ce Zhu, "Reconciliation of Group Sparsity and Low-rank models for Image Restoration," IEEE International Conference on Multimedia and Expo (ICME), 2020. [ Paper ] [ Codes ] [ Best Paper Runner Up Award ] .

          S. Huang, H. Xiong, Z-Q. Cheng, Q. Wang, X. Zhou, B. Wen, J. Huan, and D. Dou, "Generating Person Images with Appearance-aware Pose Stylization," International Joint Conference on Artificial Intelligence (IJCAI), 2020. [ Arxiv:2007.09077 ] [ Paper ] [ Codes ]

          Z. Zha, X. Yuan, J. Zhou, Ce Zhu, and B. Wen, "A Hybrid Structural Sparse Error Model for Image Deblocking," IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), 2020, Accepted. [ Paper ] [ Codes ]

  • 2019

    •       Z. Zha, X. Yuan, B. Wen, J. Zhou, J. Zhang, and C. Zhu, "From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration," IEEE Transcations on Image Processing (TIP), 2019. [ Arxiv:1807.02504 ] [ Paper ] [ Codes ]

          Z. Liu, Y. Xiang, J. Shi, P. Gao, H. Wang, X. Xiao, B. Wen, and Y. Hu, "HyperService: Interoperability and Programmability across Heterogeneous Blockchains," ACM Computer and Communications Security (CCS), 2019. [ Arxiv:1908.09343 ] [ Paper ]

          X Wang, B. Wen, and J Ma, "Denoising with weak signal preservation by group-sparsity transform learning," Geophysics, 2019. [ Paper ]

          B. Wen, S. Ravishankar, and Y. Bresler, "VIDOSAT - High-dimensional Sparsifying Transform Learning for Online Video Restoration," IEEE Transcations on Image Processing (TIP), 2019. [ Arxiv:1710.00947 ]

          Z. Zha, X. Yuan, B. Wen, J. Zhang, J. Zhou, and C. Zhu, “Simultaneous Nonlocal Self-Similarity Prior for Image Denoising,” IEEE International Conference on Image Processing (ICIP), 2019. [ Paper ] [ Codes ]

          Z. Zha, X. Yuan, B. Wen, J. Zhang, J. Zhou, and C. Zhu, “A Comparative Study for the Nuclear Norms Minimization Methods,” IEEE International Conference on Image Processing (ICIP), 2019. [ Paper ] [ Codes ]

  • 2018

    •       Z. Zha, X. Yuan, B. Wen , J. Zhou, and C. Zhu, "Joint Patch-Group Based Sparse Representation for Image Inpainting," Asian Conference on Machine Learning (ACML) 2018. [ Open Access ] [ Codes ]

          D. Liu, B. Wen, Y. Fan, C.-L. Chen, and T. Huang, "Non-Local Recurrent Network for Image Restoration," Conference on Neural Information Processing Systems (NIPS) 2018. [ Arxiv:1710.00947 ] [ Open Access ] [ Codes ]

          B. Wen , and G. Su, "When Smart Signal Processing Meets Smart Imaging," International Conference on Smart Multimedia (ICSM) 2018. [ Paper ]

          D. Liu, B. Wen, X. Liu, Zhangyang Wang, and T. Huang, “When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach,” International Joint Conference on Artificial Intelligence (IJCAI), 2018, to appear. [ Arxiv:1706.04284 ], [ Open Access ] [ codes ]

          B. Wen, and G. Su, “TransIm: Transfer Image Local Statistics Across EOTFs for HDR Image Applications,” IEEE International Conference on Multimedia and Expo (ICME), 2018. [ PDF ]

          B. Wen, U. Kamilov, D. Liu, H. Mansour, and P. Boufounos, “DeepCASD: An End-to-End Approach for Multispectral Image Super-Resolution,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018. [ PDF ]

  • 2017

    •       B. Wen, Y. Li, L. Pfister, and Y. Bresler, “Joint Adaptive Sparsity and Low-rankness on the Fly: An Online Tensor Reconstruction Method for Video Denoising,” IEEE International Conference on Computer Vision (ICCV), 2017. [ open access ], [ PDF ], [ codes ]

          B. Wen, S. Ravishankar, and Y. Bresler, “FRIST Flipping and Rotational Invariant Sparsifying Transform Learning and Applications,” Inverse Problems (IVP), 2017. [ PDF ], [ codes ]

          B. Wen, Y. Li, and Y. Bresler, “When Sparsity meets Low-Rankness: Transform Learning with Non-local Low-rank Constraint for Image Restoration,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. [ PDF ], [ codes ]

          Y. Zhu, T-T. Ng, B. Wen, X. Shen, and B. Li, “Copy-move Forgery Detection in the Presence of Similar but Genuine Objects,” IEEE International Conference on Signal and Image Processing (ICSIP), 2017. [ PDF ]

  • 2016

    •       B. Wen, S. Ravishankar, and Y. Bresler, “Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications,” International Journal of Computer Vision (IJCV), 2016. [ PDF ], [ codes ]

          D. Liu, Z. Wang B. Wen, J. Yang, W. Han, and T. Huang, “Robust Image Super-Resolution via Deep Networks with Sparse Prior,” IEEE Transcations on Image Processing (TIP), 2016. [ PDF ], [ codes ]

          S. Dev B. Wen, Y. Lee, and S. Winkler, “Ground-based Image Analysis: A Tutorial on Machine-Learning Techniques and Applications,” IEEE Geoscience and Remote Sensing Magazine (GRSM), 2016. [ PDF ]

          B. Wen, S. Ravishankar, and Y. Bresler, “Learning Flipping and Rotational Invariant Sparsifying Transform,” IEEE International Conference on Image Processing (ICIP), 2016. [ PDF ], [ codes ]

          B. Wen, Y. Zhu, R. Subramanian, T-T. Ng, X. Shen, and S. Winkler, “COVERAGE - A Novel Database for Copy-Move Forgery Detection,” IEEE International Conference on Image Processing (ICIP), 2016. [ PDF ], [ dataset ]

  • 2015

    •       S. Ravishankar, B. Wen, and Y. Bresler, “Online Sparsifying Transform Learning Part I: Algorithms,” IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2015. [ PDF ]

          B. Wen, S. Ravishankar and Y. Brelser, “Video Denoising by Online 3D Sparsifying Transform Learning,” to appear in Proc. IEEE Int. Conf. Image Processing (ICIP), 2015. [ PDF ], , [ codes ]

  • 2014

    •       B. Wen, S. Ravishankar and Y. Brelser, “Learning Overcomplete Sparsifying Transforms with Block Cosparsity,” in Proc. IEEE Int. Conf. Image Processing (ICIP), 2014.  [ Top 10% Best Paper Award ] [ PDF ], [ codes ]

          S. Ravishankar, B. Wen and Y. Brelser, “Online Sparsifying Transform Learning for Big Data Signal Processing,” in Proc. IEEE Global Conf. on Signal and Information Processing (Global SIP), 2014.  [ PDF ]

     

    Academic Services

  • Technical Committee

    • IEEE Computational Imaging, Technical Committee ( IEEE CI TC ), 2019 - 2021.

  • Regional Technical Committee

    • IEEE Signal Processing Singapore Chapter, Committee Board ( IEEE SPS-SG), 2021 - 2022.

    Pattern Recognition and Machine Intelligence Association, Committee Board ( PREMIA ), 2021 - 2022.

  • Conference and Workshop Organization

    • Organizer, IEEE SPS Winter School VISVA 2020

    Organizer, IEEE SPS Wenbinar Series SPACE 2020

    Organizer, ICCV 2019 Workshop on Learning for Computational Imaging (LCI) ( LCI 2019 )

    Session Co-Chair, IEEE International Conference on Multimedia Information Processing and Retrieval ( MIPR 2019 )

  • Conference Area Chair

    • IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP ), 2019 - 2021.

    IEEE International Conference on Image Processing ( ICIP ), 2019 - 2021

    IEEE International Conference on Multimedia and Expo ( ICME ), 2021

  • Conference PC / Reviewer

    • Conference on Neural Information Processing Systems ( NeurIPS ), 2019 - 2021

    Conference on Computer Vision and Pattern Recognition ( CVPR ), 2018 - 2021

    International Conference on Computer Vision ( ICCV ), 2019 - 2021

    International Conference on Machine Learning ( ICML ), 2020 - 2021

    European Conference on Computer Vision ( ECCV ), 2020

    International Joint Conferences on Artificial Intelligence ( IJCAI ), 2019 - 2021

    AAAI Conference on Artificial Intelligence ( AAAI ), 2020 - 2021

    IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP ), 2020 - 2021

    IEEE International Conference on Multimedia and Expo ( ICME ), 2019

    IEEE International Conference on Image Processing ( ICIP ), 2017 - 2021

  • Journal Reviewer

    • IEEE Transactions on Pattern Analysis and Machine Intelligence ( TPAMI )

    IEEE Transactions on Image Processing ( TIP )

    IEEE Transactions on Signal Processing ( TSP )

    IEEE Transactions on Multimedia ( TMM )

    IEEE Transactions on Information Forensics and Security ( TIFS )

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

    IEEE Transactions on Computational Imaging ( TCI )

    IEEE Signal Processing Letters ( SPL )

    SIAM Journal on Imaging Sciences ( SIIMS )

    Medical Image Analysis ( MIA )

    IOP Inverse Problems ( IP )

    Team Members

    Dr. Zhiyuan Zha

    Research Fellow

    Ph.D. Nanjing University

    ICME 2020 Best Paper Runner Up

    ICME 2017 Platinum Best Paper

    Homepage [ Link ].

    Dr. Siyu Huang

    Research Fellow

    Previous Baidu BDL

    Ph.D. Zhejiang U

    Imaging and Sensing; Deep Learning.

    Homepage [ Link ].

    Dr. Meng Pang

    Research Fellow

    Ph.D. HKBU

    Face Recognition and Retrieval

    ResearchGate [ Link ].

    Dr. Narong Borijindargoon

    Research Fellow

    Ph.D. Nanyang Tech U

    Signal Processing, Computational Imaging.

    Jiang Zhu

    Research Associate

    M.S. USTC

    Deep Learning; Computer Vision; Non-Local Image Modeling; Image Fusion.

    Hao Cheng

    PhD Candidate

    M.S. Tianjin University

    Graph Neural Networks; Few-Shot Learning; Metric learning.

    Lanqing Guo

    PhD Candidate

    B.S. Wuhan University

    Machine Learning and Optimization; Deep Learning; Image and Video Processing.

    Hong Duc Nguyen

    PhD Candidate

    B.S. Nanyang Tech U

    VinGroup Scholar

    Image and Video Analytics.

    Rongkai Zhang

    PhD Candidate

    B.S. BIT

    Deep Reinforcement Learning.

    Google Scholar [ Link ].

    Tian (Iris) Lan

    PhD Candidate

    B.S. University of Illinois UC

    Machine Learning and Optimization; Space Technology; Remote Sensing; Image Processing.

    Tao Bai

    PhD Candidate

    B.S. Wuhan University

    Co-Supervised with Jun Zhao

    Image Forensics, Adversarial Machine Learning.

    Homepage [ Link ].

    Kaiyi Yang

    Research Assistant

    B.S. Nanyang Tech U

    Machine Learning and Computational Imaging.