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

[Hiring] I have 3x Research Fellows openings on AI and Inverse Problems. Contact me if you are interested.

  • 2022

  • [Special Issue] We are organizing a Special Issue on IEEE Signal Processing Magazine (SPM) . White Paper Due on Dec 1, 2021.

    [Conference Service] I became the TPC Chair for IEEE MIPR 2022 .

  • 2021

  • [Event] The Submission Deadline to LCI Workshop @ ICCV 2021 has extended to July 27 [ Submit on CMT ] .

    [News] Our group's undergrad students are on News: Jiafei Duan and Kaiyi Yang !

    [Publication] One more paper has been accepted to IEEE TNNLS . To Appear.

    [Publication] One paper has been accepted to ACM MM 2021 . [ Preprint] [ Codes ]: First DRL for Enlightening.

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

    [Publication] Two papers have been accepted to IEEE TIP , [ Paper ] [ Codes ].

    [Publication] One paper has been accepted to IEEE TDSC . [ Paper ]

    [Publication] One paper has been accepted to IJCAI 2021 , survey on Adversarial Training. [ Preprint ]

    [Publication] Six papers have been accepted to ICIP 2021 , to appear.

    [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 RSC Advances [ 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 .

    [Special Issue] I am organizing a Special Issue on machine learning for imaging, with Micromachines , due on Oct 15, 2021.

    [Event] I am invited to be the speaker at SPS AI Summer School 2021.

    [Event] We are organizing the 2nd LCI Workshop , jointly with ICCV 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) .

    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

  •       L. Guo, Z. Zha, S. Ravishankar and B. Wen, "Exploiting Non-Local Priors via Self-Convolution For Highly-Efficient Image Restoration," [ Arxiv:2106.00256 ] [ Codes ]

          H. Cheng, K-H. Yap and B. Wen, "Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification," [ Arxiv:2106.00256 ] [ Codes ]

          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

  •       M. Pang, B. Wang, M. Ye, Y-M Cheung, Y. Chen and B. Wen, "DisP+V: A Unified Framework for Disentangling Prototype and Variation from Single Sample per Person," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. [ Paper ] [ Codes ]

          R. Zhang, L. Guo, S. Huang and B. Wen, "ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement," ACM International Conference on Multimedia (ACM MM), 2021. [ Arxiv:2107.05830 ] [ Codes ], To Appear.

          Z. Zha, B. Wen, X. Yuan, J. T. Zhou, J. Zhou and Ce Zhu, "Triply Complementary Priors for Image Restoration," IEEE Transactions on Image Processing (TIP), 2021. [ Paper ] [ Download ] [ Codes ]

          Z. Zha, X. Yuan, B. Wen, J. Zhang and Ce Zhu, "Non-Convex Structural Sparsity Residual Constraint for Image Restoration," IEEE Transactions on Cybernetics (TCYB), 2021. [ Paper ] [ Codes ]

          Z. Liu, Y. Xiang, J. Shi, P. Gao, H. Wang, X. Xiao, B. Wen, Q. Li and Y-C. Hu, "Make Web3.0 Connected," IEEE Transactions on Dependable and Secure Computing (TDSC), 2021. [ Paper ]

          Z. Zha, B. Wen, X. Yuan, J. Zhou, and Ce Zhu, "Image Restoration via Reconciliation of Group Sparsity and Low-rank Models," IEEE Transactions on Transactions on Image Processing (TIP), 2021. [ Paper ] [ Codes ]

          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 ]

          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 ]

          S. Luo, Y. Shi, L-K. Chin, Y. Zhang, B. Wen, Y. Sun, B. T-T. Nguyen, G. Chierchia, H. Talbot, T. Bourouina, X. Jiang and A-Q. Liu, "Rare bioparticle detection via deep metric learning," RCS Advances, [ 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 ].

          T. Bai, J. Luo, J. Zhao, B. Wen and Q. Wang, "Recent Advances in Adversarial Training for Adversarial Robustness" International Joint Conference on Artificial Intelligence (IJCAI), 2021. [ Arxiv:2102.01356 ], [ 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. [ Paper ]

          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. [ Paper ] [ 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. [ Paper ]

          L. Guo, R. Wan, G-M. Su, A. Kot and B. Wen, "Multi-Scale Feature Guided Low-Light Image Enhancement," IEEE International Conference on Image Processing (ICIP), 2021. [ Paper ]

          R. Zhang, J. Zhu, Z. Zha, J. Dauwels and B. Wen, "R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery," IEEE International Conference on Image Processing (ICIP), 2021. [ Paper ] [ Arxiv:2107.05318 ]

          Z. Zha, B. Wen, X. Yuan, J. Zhou and C. Zhu, "Low-Rank Regularized Joint Sparsity for Image Denoising," IEEE International Conference on Image Processing (ICIP), 2021. [ Paper ]

          L. Huang, D. Cheng, X. Yang, T. Lin, Y. Shi, K. Yang, B-H. G and B. Wen, "Joint Anomaly Detection and Inpainting for Microscopy Images via Deep Self-Supervised Learning," IEEE International Conference on Image Processing (ICIP), 2021. [ Paper ] [ MIIC Dataset ]

          S. Liang, B. Iskender, B. Wen and S. Ravishankar, "LABMAT: Learned Feature-domain Block Matching for Image Restoration," IEEE International Conference on Image Processing (ICIP), 2021. [ Paper ]

          W. Tan, B. Wen, C. Chen, Z. Zeng and X. Yang, "Systematic Analysis of Circular Artifacts for StyleGAN ," IEEE International Conference on Image Processing (ICIP), 2021. [ Paper ] [ Preprint ]

  • 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 ] [ Codes ]

          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, ICCV 2021 Workshop on Learning for Computational Imaging (LCI) ( LCI 2021 ).

    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.

    Dr. Yuanyuan Qing

    Research Fellow

    Ph.D. Nanyang Tech U

    NPGS Scholar

    Deep Learning; AI Trusutworthiness

    Dr. Songnan Lin

    Research Fellow

    Ph.D. BIT

    B.S. Tsinghua U

    Spatial-Temporal Analysis; Video Reconstruction

    Lanqing Guo

    PhD Candidate

    B.S. Wuhan University

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

    Hao Cheng

    PhD Candidate

    M.S. Tianjin University

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

    Rongkai Zhang

    PhD Candidate

    B.S. BIT

    Deep Reinforcement Learning.

    Google Scholar [ Link ].

    Jiang Zhu

    PhD Candidate

    M.S. USTC

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

    Hong Duc Nguyen

    PhD Candidate

    B.S. Nanyang Tech U

    VinGroup Scholar

    Image and Video Analytics.

    Tian (Iris) Lan

    PhD Candidate

    B.S. University of Illinois UC

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

    Ziwang Xu

    PhD Candidate

    B.S. Yao Class (THU)

    Machine Learning; Image Processing

    Chong Wang

    PhD Candidate

    M.S. University of Edinburgh

    Image Processing; Computational Imaging

    Kaiyi Yang

    Research Assistant

    B.S. Nanyang Tech U

    Machine Learning and Computational Imaging.

    Tao Bai

    PhD Candidate (CSE)

    B.S. Wuhan University

    Co-Supervised with Jun Zhao

    Image Forensics, Adversarial Machine Learning.

    Homepage [ Link ].

    Eleanor (Elly) Tennant

    PhD Candidate (ASE)

    M.S. University of Bristol

    Co-Supervised with Susanna Jenkins

    Remote Sensing, Volcanic Analytics

    Homepage [ Link ].