Bihan Wen

Nanyang Assistant Professor

School of Electrical and Electronic Engineering (EEE)

Nanyang Technological University (NTU), Singapore

Deputy Director, Rapid-Rich Object Search (ROSE) Lab

 

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

BE 12', EEE , NTU, Singapore

Email: bihan.wen at ntu.edu.sg

[Hiring] Multiple openings of Post-Docs and RAs. Email your CV if interested. Only the qualified candidates will be contacted.

2024

[News] Our FYP students, Lin Zijun and Tian Shulin, won the A*Star ACIS Scholarship 2024. Congratulations!

[Event] We are organizing ICARCV 2024 in Dubai, Dec 13-15. Hope to see you there!

[Publication] Three papers are accepted to CVPR 2024 , with one selected as Highlight paper.

[Publication] Two papers are accepted to IEEE TIFS .

[Publication] One paper is accepted to IEEE TGRS .

[Publication] One paper is accepted to Information Fusion .

[Publication] One paper is accepted to IEEE TCSVT .

[Publication] One paper is accepted to IEEE JETCAS .

[Publication] One paper is accepted to Expert Systems with Applications .

[Publication] One paper is accepted to IEEE ISIT 2024 .

[Publication] One paper is accepted to ICASSP 2024 . I will travel to Seoul, South Korea.

[Publication] Two papers are accepted to ISCAS 2024 . Look forward to meeting you in Singapore!

[Tutorial] We are organizing a Tutorial @ CPAL 2024 (with Saiprasad Ravishankar).

[Conference Service] I serve as Area Chair for AAAI 2024 , ICASSP 2024 , CPAL 2024 , ICME 2024 , ICIP 2024 and ISCAS 2024 .

[Conference Service] I serve as Reviewer for CVPR 2024 , ECCV 2024 and SIGGRAPH 2024 .

[Conference Service] We are organizing a special session at ICASSP 2024 : Robust Reconstruction Methods in Imaging.

[Special Issue] Special Issue on Hyperspectral Remote Imaging @ Remote Sensing (Led by Junjun Jiang). Deadline is March 29, 2024.

[Special Issue] Special Issue on Computational Imaging and Photography @ CVIU (Led by Yakun Ju). Deadline is Sep 15, 2024.

2023

[News] Our PhD student, Yufei Wang, won the Singapore Data Science Consortium (SDSC) Fellowship 2023. Congratulations!

[News] Our PhD student (formal FYP/URECA), Yinjie Zhao, won the A*Star ACIS Scholarship 2023. Congratulations!

[News] Our PhD student, Lanqing Guo, won the AAAI Diversity Scholarship 2023. Congratulations!

[News] Our FYP Undergrad student, Shulin Tian, won the IEEE SPS Travel Grant. Congratulations!

[News] Our works on Deep Image Generation and Restoration are featured by Pushing Frontiers Magazine, Page 20.

[Event] I will give an invited talk at IEEE VCIP 2023 in Jeju, Korea.

[Event] I will give an invited talk at MCSCT 2023 in University of Macau.

[Event] We are organizing the first IEEE Conf. Artificial Intelligence (CAI) 2023 at California, USA. [ Call for Papers ]

[Event] I gave an invited talk at SLowDNN Workshop 2023. Thanks MBZUAI and Organizinng Committee for hosting us. [ Recording ]

[Publication] One paper is accepted to NeurIPS 2023 Datasets and Benchmarks Track. [ Preprint ] [ WBCAtt Dataset ]

[Publication] Three papers are accepted to ICCV 2023, with one selected as Oral Presentation! I am travelling to Paris.

[Publication] Three papers are accepted to CVPR 2023. [ ShadowDiffusion ] [ Raw Compression ] [ Noise Synthesis ]

[Publication] One paper is accepted to ICIP 2023. [ Paper ] Congrats to Shulin (our undergrad FYP student)! I am travelling to KL.

[Publication] One more paper is accepted to IEEE TIFS . [ Paper ]

[Publication] Four papers are accepted to IEEE TCSVT . [ SVT ] [ Single-Pixel ] [ PALM ] [ Low-Light Disentangle ]

[Publication] Four papers are accepted to ICASSP 2023. I will be traveling to Rhodes Island, Greece!

[Publication] One paper is accepted to IEEE TGRS . [ Paper ]

[Publication] One paper is accepted to CAAI Trans. Intelligence Technology . To Appear.

[Publication] One paper is accepted to IEEE TCYB . [ Paper ]

[Publication] One paper is accepted to WWW 2023: Proving the ownership of your AI property. [ Paper ]

[Publication] One paper is accepted to IEEE TNNLS . [ Preprint ] [ Codes ] [ Paper ]

[Publication] One paper is accepted to Neurocomputing . [ Preprint ] [ Codes ] [ Paper ].

[Publication] One paper is accepted to IEEE TIFS . [ Preprint ] [ Codes ] [ Paper ]

[Publication] One paper is accepted to MIDL 2023. [ Paper ]

[Publication] One paper is accepted to IEEE TMM [ Paper ]

[Publication] One paper is accepted to ISCAS 2023. To Appear.

[Publication] One paper is accepted to IEEE ISBI 2023. To Appear.

[Publication] One paper is accepted to AAAI 2023 . First Transformer for Shadow Removal. To Appear.

[Publication] One paper is accepted to IEEE SPM (A summary of our past works on non-local modeling). [ Preprint ], [ Paper ].

[Publication] Editorial on Special Issue 2 on IEEE SPM [ Paper ].

[Publication] Editorial on Special Issue 1 on IEEE SPM [ Paper ].

[Special Issue] Special Issue on Low-Dimensional Deep Learning @ IEEE JSTSP 2023 (Led by Yi Ma). Deadline is Nov 30, 2023.

[Tutorial] We are organizing a Tutorial @ IEEE MIPR 2023 (with Saiprasad Ravishankar).

[Tutorial] We are organizing a Tutorial @ ISBI 2023 (with Sai Ravishankar and Atlas Wang) on Unsupervised DL for Imaging .

[Tutorial] We are organizing a Tutorial @ ICME 2023 (with Sai Ravishankar) on Learning for Computational Imaging .

[Conference Service] I became the Area Chair for AAAI 2023 , ICME 2023 , ICIP 2023 and ICASSP 2023 .

[Award] Won the IEEE MIPR 2023 Best Paper Award, led by our group's MEng student, Zhiyuan Yang.

[Award] Won the IEEE ICIEA 2023 Best Paper Award, led by our group's PhD student, (Van) Kwan Zhi Koh.

[Award] IEEE CASS VSPC Rising Star Award (Runner-Up), 2023.

[Award] Ranked as World Top 2% Scientists in Artificial Intelligence (AI), Year 2021 to 2023 consecutively, by Stanford University.

[Award] Elevation to IEEE Senior Member.

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

     2015 - 2018, [ Ph.D. ], Electrical and Computer Engineering (ECE)

     2012 - 2015, [ M.S. ], Electrical and Computer Engineering (ECE)

     Advisor: Prof. Yoram Bresler

     Research Fields:

     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

 

Preprint

      Lanqing Guo, Yingqing He, Haoxin Chen, Menghan Xia, Xiaodong Cun, Yufei Wang, Siyu Huang, Yong Zhang, Xintao Wang, Qifeng Chen, Ying Shan and Bihan Wen, "Make a Cheap Scaling : A Self-Cascade Diffusion Model for Higher-Resolution Adaptation," [ Preprint ], [ Project Page ], [ Codes ]

      Purui Zhang, Xingchao Jian, Feng Ji, Wee Peng Tay and Bihan Wen, "Spectral Convergence of Simplicial Complex Signals (Extended Version)" [ Preprint ].

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

      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 ].

2024

      Yufei Wang, Wenhan Yang, Xinyuan Chen, Yaohui Wang, Lanqing Guo, Lap-Pui Chau, Ziwei Liu, Yu Qiao, Alex Kot and Bihan Wen, "SinSR: Diffusion-Based Image Super-Resolution in a Single Step," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [ Preprint ], [ Codes ].

      Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu and Bihan Wen, "Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Highlight Paper, 2024. [ Preprint ], [ Codes ]

      Haonan Zhang, Longjun Liu, Yuqi Huang, YangZhao, Xinyu Lei and Bihan Wen, "CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [ Codes ], paper to appear.

      Purui Zhang, Xingchao Jian, Feng Ji, Wee Peng Tay and Bihan Wen, "Frequency Convergence of Complexon Shift Operators", IEEE International Symposium on Information Theory (ISIT), 2024. [ Preprint ].

      Tao Bai, Yiming Cao, Yonghao Xu and Bihan Wen, "Stealthy Adversarial Examples for Semantic Segmentation in Remote Sensing", IEEE Transactions on Geoscience and Remote Sensing (TGRS). [ Paper ]

      Jiang Zhu, Van Kwan Zhi Koh, Zhiping Lin and Bihan Wen, "TM-GAN: A Transformer-based Multi-modal Generative Adversarial Network for Guided Depth Image Super-resolution", IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS). To Appear.

      Hengmin Zhang, Jian Yang, Jianjun Qian, Chen Gong, Xin Ning, Zhiyuan Zha and Bihan Wen, "Faster Nonconvex Low-rank Matrix Learning for Image Low-level and High-level Vision: A Unified Framework", Information Fusion. [ Paper ], [ Codes ].

      Yuanyuan Qing, Tao Bai, Zhuotao Liu, Pierre Moulin and Bihan Wen, "Detection of Adversarial Attacks via Disentangling Natural Images and Perturbations", IEEE Transactions on Information Forensics and Security (TIFS). [ Paper ]

      Lanqing Guo, Siyu Huang, Haosen Liu and Bihan Wen, "Towards Robust Image Denoising via Flow-based Joint Image and Noise Model", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). [ Preprint ] [ Paper ].

      Yuanlun Xie, Wenhong Tian, Liang Song, Ruini Xue, Zhiyuan Zha and Bihan Wen, "A joint learning method with consistency-aware for low-resolution facial expression recognition", Expert Systems with Applications. [ Paper ].

      Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du and Bihan Wen, "Enhancing generalized spectral clustering with embedding Laplacian graph regularization", CAAI Transactions on Intelligence Technology. [ Paper ], [ Codes ].

      Chong Wang, Yi Yu, Lanqing Guo, and Bihan Wen, "Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. [ Preprint ] [ Paper ].

      Jiang Zhu, Yuanyuan Qing, Zhiping Lin, and Bihan Wen, "Fusing EO and LiDAR for SAR Image Translation with Multi-Modal Generative Adversarial Networks", IEEE International Symposium on Circuits and Systems (ISCAS), 2024. To Appear.

      Jiarui Zhang, Songnan Lin, Weixian Liu, and Bihan Wen, "Learning-Based Human Detection via Radar for Dynamic and Cluttered Indoor Environments", IEEE International Symposium on Circuits and Systems (ISCAS), 2024. To Appear.

2023

      S. Tsutsui, W. Pang and B. Wen, "WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes," Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, 2023. [ Preprint ] [ WBCAtt Dataset ]

      L. Guo, C. Wang, W. Yang, Y. Wang and B. Wen, "Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal," IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [ Paper ]

      H. Cheng, S. Yang, T. Zhou, L. Guo and B. Wen, "Frequency Guidance Matters in Few-Shot Learning," IEEE/CVF International Conference on Computer Vision (ICCV) Oral Paper, 2023. [ Paper ]

      Y. Wang, Y. Yu, W. Yang, L. Guo, L.-P. Chau, A. Kot and B. Wen, "ExposureDiffusion: Learning to Expose for Low-light Image Enhancement," IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [ Arxiv:2307.07710 ] [ Paper ] [ Codes ].

      L. Guo, C. Wang, W. Yang, S. Huang, Y. Wang, H. Pfister and B. Wen, "ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [ Preprint ] [ Paper ] [ Codes ].

      Y. Wang, Y. Yu, W. Yang, L. Guo, L-P. Chau, A-C. Kot and B. Wen, "Raw Image Reconstruction with Learned Compact Metadata," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [ Preprint ] [ Paper ] [ Codes ]

      Z. Fu, L. Guo and B. Wen, "sRGB Real Noise Synthesizing with Neighboring Correlation-Aware Noise Model," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [ Paper ] [ Codes ].

      Y. Zhu, K. Zhang, J. Liang, J. Cao, B. Wen, R. Timofte and L. V. Gool, "Denoising Diffusion Models for Plug-and-Play Image Restoration," IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2023. [ Paper ] [ Codes ].

      Y. Liu, K. Li, Z. Liu, B. Wen, K. Xu, W. Wang, W. Zhao and Q. Li, "Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification", International World Wide Web Conferences (WWW), 2023. [ Paper ]

      L. Guo, S. Huang, D. Liu, H. Cheng and B. Wen, "ShadowFormer: Global Context Helps Shadow Removal", AAAI Conference on Artificial Intelligence (AAAI), 2023. [ Preprint ] [ Paper ] [ Codes ].

      H. Zhang, J. Yang, J. Qian, G. Gao, X. Lan, Z. Zha and B. Wen, "Efficient Image Classification via Structured Low-rank Matrix Factorization Regression", IEEE Transactions on Information Forensics & Security (TIFS). [ Paper ].

      X. Chen, W. Xia, Z. Yang, H. Chen, Y. Liu, J. Zhou, Z. Wang, Y. Chen, B. Wen and Y. Zhang, "SOUL-Net: A sparse and low-rank unrolling network for spectral ct image reconstruction", IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [ Paper ] [ Codes ]

      K. Jing, X. Zhang, C. Zhang, W. Lin, H. Ma, M. Pang and B. Wen, "Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition", IEEE Transactions on Information Forensics & Security (TIFS). [ Paper ]

      H. Zhang, B. Wen, Z. Zha, B. Zhang, Y. Tang, G. Yu and W. Du, "Accelerated PALM for Nonconvex Low-rank Matrix Recovery with Theoretical Analysis", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). [ Paper ] [ Codes ]

      Z. Zha, B. Wen, X. Yuan, J. Zhang, J. Zhou, Y. Lu and C. Zhu, "Non-Local Structured Sparsity Regularization Modeling for Hyperspectral Image Denoising", IEEE Transactions on Geoscience and Remote Sensing (TGRS). [ Paper ] [ Codes ]

      H. Zhang, S. Li, J. Qiu, Y. Tang, J. wen, Z. Zha and B. Wen, "Efficient and Effective Low-rank Structural Clustering without the SVT Operators", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). [ Paper ]

      Y. Qing, J. Zhu, H. Feng, W. Liu and B. Wen, "Two-Way Generation of High-Resolution EO and SAR Images via Dual Distortion-Adaptive GANs", Remote Sensing. [ Paper ] [ Codes ] [ Dataset ].

      Z. Zha, B. Wen, X. Yuan, J. Zhang, J. Zhou, X. Jiang and C. Zhu, "Multiple Complementary Priors for Multispectral Image Compressive Sensing Reconstruction", IEEE Transactions on Cybernetics (TCYB). [ Paper ].

      L. Guo, R. Wang, W. Yang, Alex Kot and B. Wen, "Cross-Image Disentanglement for Low-Light Enhancement in Real World," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. To Appear. [ Preprint ] [ Paper ].

      L. Guo, Y. Lin, J. Li and B. Wen, "Exploiting the Illumination Knowledge in Real World for Low-Light Image Enhancement," IEEE MultiMedia (MM), 2023. [ Dataset ] [ Paper ]

      H. Cheng, Y. Wang, H. Li, A-C. Kot and B. Wen, "Disentangled Feature Representation for Few-shot Image Classification," IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [ Arxiv:2109.12548 ] [ Codes ] [ Paper ].

      Z. Zha, B. Wen, X. Yuan, S. Ravishankar, J. Zhou and C. Zhu, "Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing", IEEE Signal Processing Magazine (SPM). (A survey including a summary of our past 7-year works on non-local image modeling and reconstruction). [ Preprint ] [ Paper ] [ Demo Codes ].

      B. Wen, S. Ravishankar, Z. Zhao, R. Giryes and J. C. Ye, "Physics-Driven Machine Learning for Computational Imaging, Part-II, Editorial", IEEE Signal Processing Magazine (SPM). [ Editorial ].

      B. Wen, S. Ravishankar, Z. Zhao, R. Giryes and J. C. Ye, "Physics-Driven Machine Learning for Computational Imaging, Part-I, Editorial", IEEE Signal Processing Magazine (SPM). [ Editorial ].

      T. Bai, J. Zhao and B. Wen, "Guided Adversarial Contrastive Distillation for Robust Students", IEEE Transactions on Information Forensics & Security (TIFS). [ Paper ].

      H. Cheng, T. Zhou, W-P. Tay and B. Wen, "Graph Neural Networks With Triple Attention For Few-Shot Learning", IEEE Transactions on Multimedia (TMM). [ Paper ] [ Codes ].

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

      S. Tian, Y. Wang, R. Wan, W. Yang, A. Kot and B. Wen, "Enhancing Low-Light Images Using Infrared-Encoded Images," IEEE International Conference on Image Processing (ICIP) 2023. [ Preprint ] [ Paper ] [ Codes ] [ Datasets ].

      Y. Wang, L-P. Chau, A-C. Kot and B. Wen, "Removing Image Artifacts from Scratched Lens Protectors", IEEE International Symposium on Circuits and Systems (ISCAS), 2023. [ Preprint ] [ Codes and Dataset ].

      C. Wang, R. Zhang, G. Maliakal, S. Ravishankar and B. Wen, "Deep Reinforcement Learning based Unrolling Network for MRI Reconstruction", IEEE International Symposium on Biomedical Imaging (ISBI), 2023. [ Paper ]

      Z. Zha, B. Wen, X. Yuan, J. Zhou and C. Zhu, "Hyperspectral Image Denoising via Nonlocal Rank Residual Modeling", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [ Paper ]

      Z. Xu, L. Guo, S. Zhang, A. Kot and B. Wen, "Unsupervised Deep Virtual Staining for Microscopic Cell Images via Knowledge Distillation", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [ Preprint ] [ Paper ]

      S. Tsutsui, Z. Su and B. Wen, "Benchmarking White Blood Cell Classification Under Domain Shift", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [ Preprint ] [ Paper ]

      T. Bai, C. Chen, L. Lyu, J. Zhao and B. Wen, "Towards Adversarially Robust Continual Learning", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [ Preprint ] [ Paper ]

      L. Chen, Y. Bai, S. Huang, Y. Liu, B. Wen, A. Yuille and Z. Zhou "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning", Medical Imaging with Deep Learning (MIDL), 2023. [ Preprint ] [ Paper ] [ Codes ].

      V. Koh, X. Li, Z. Lin, Y. Li, E. Shafiee, and B. Wen, "Deterministic to Probabilistic Time Series Forecasting by Recurrent Neural Network with Variational Residual Boosting", IEEE Conference on Industrial Electronics and Applications (ICIEA 2023), 2023. [ Best Paper Award ] [ Paper ].

      Z. Yang, L. Chau and B. Wen, "No Matter Small or Big Lip Motion: DeepFake Detection with Regularized Feature Learning on Semantic Information", International Conference on Multimedia Information Processing and Retrieval (MIPR 2023), 2023. [ Best Paper Award ] [ Paper ].

2022

      R. Wan, B. Shi, W. Yang, B. Wen, L. Duan, A. Kot, "Purifying Low-light Images via Near-Infrared Enlightened Image" IEEE Transactions on Multimedia (TMM). [ Paper ].

      T. Bai, H. Wang and B. Wen, "Targeted Universal Adversarial Examples for Remote Sensing," Remote Sensing. [ Paper ]

      Y. Xu, X. Wang, H. Zhou, Y. Hou, B. Wen, L. Zhang, R. Yan and X. Chen, "Real-time terahertz characterization for composite delamination using a lightweight CPU adaptive network" Composites Part B: Engineering. [ Paper ].

      R. Zhang, C. Zhang, Z. Cao, S. Wen, P. Tan, J. Zhang, B. Wen and J. Dauwels, "Learning to Solve Multiple-TSP with Time Window and Rejection via Deep Reinforcement Learning," IEEE Transactions on Intelligent Transportation Systems (TITS). [ Preprint ] [ Paper ] [ Codes ].

      Y. Wang, H. Li, H. Cheng, B. Wen, L-P. Chau and A. Kot, "Variational Disentanglement for Domain Generalization," Transactions on Machine Learning Research (TMLR), [ Paper ].

      S. Huang, T. Wang, H. Xiong, B. Wen, J. Huan and D. Dou, "Temporal Output Discrepancy for Loss Estimation-based Active Learning," IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [ Paper ] [ Codes ].

      M. Pang, B. Wang, S. Huang, Y-M Cheung and B. Wen, "A Unified Framework for Bidirectional Prototype Learning from Contaminated Faces across Heterogeneous Domains," IEEE Transactions on Information Forensics & Security (TIFS), [ Paper ] [ Codes ].

      Z. Zha, B. Wen, X. Yuan, J. Zhou, C. Zhu and A. Kot, "Low-Rankness Guided Group Sparse Representation for Image Restoration," IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [ Paper ] [ Codes ].

      X. Chen, W. Xia, Y. Liu, H. Chen, J. Zhou, Z. Zha, B. Wen and Y. Zhang, "FONT-SIR: Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction," IEEE Transactions on Medical Imaging (TMI). [ Paper ].

      T. Lan, H. Cheng, Y. Wang and B. Wen, "Site Selection via Learning Graph Convolutional Neural Networks: A Case Study of Singapore," Remote Sensing. [ Paper ], [ Database ].

      Hong Duc Nguyen, Rizhao Cai, Heng Zhao, Alex C. Kot and B. Wen, "Towards More Efficient Security Inspection Via Deep Learning: A Task-Driven X-Ray Image Cropping Scheme," Micromachines. [ Paper ], [ Database ].

      L. Guo, Z. Zha, S. Ravishankar and B. Wen, "Exploiting Non-Local Priors via Self-Convolution For Highly-Efficient Image Restoration," IEEE Transactions on Image Processing (TIP). [ Arxiv:2006.13714 ] [ Codes ] [ Paper ].

      S. Lin, Y. Ma, Z. Guo and B. Wen, "DVS-Voltmeter: Stochastic Process-based Event Simulator for Dynamic Vision Sensors," European Conference on Computer Vision (ECCV) 2022. [ Codes ] [ Paper ] [ Supp ].

      J. Duan, S. Yu, S. Poria, B. Wen and C. Tan, "PIP: Physical Interaction Prediction via Mental Simulation with Span Selection," European Conference on Computer Vision (ECCV) 2022. [ Arxiv:2109.04683 ] [ Project Page ] [ Paper ] [ Supp ] To Appear.

      C. Wang, R. Zhang, S. Ravishankar and B. Wen, "REPnP: Plug-And-Play With Deep Reinforcement Learning Prior for Robust Image Restoration," IEEE International Conference on Image Processing (ICIP) 2022. [ Arxiv:2207.12056 ].

      Z. Zha, B. Wen, X. Yuan, J. Zhou and C. Zhu, "Simultaneous Nonlocal Low-Rank and Deep Priors for Poisson Denoising," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022. [ Paper ], [ Codes ].

      S. Huang, H. Xiong, T. Wang, B. Wen, Q. Wang, Z. Chen, J. Huan and D. Dou, "Parameter-Free Style Projection For Arbitrary Style Transfer," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022. [ Paper ], [ Codes ].

      K. Jing, X. Zhang, Z. Yang and B. Wen, "Feature Augmentation Learning for Few-Shot Palmprint Image Recognition with Unconstrained Acquisition," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022. [ Paper ]

      H. Cheng, J. Zhou, W-P. Tay and B. Wen, "Attentive Graph Neural Networks for Few-Shot Learning," International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022. [ Codes ], [ Paper ] [ Best Paper Finalist ].

      Y. Lin, J. Li, L. Guo and B. Wen, "RE2L: A Real-World Dataset for Outdoor Low-Light Image Enhancement," International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022. [ RE2L Dataset ], [ Paper ].

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 ]

      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," IEEE Transactions on Multimedia (TMM), 2021. [ Arxiv:2006.07795 ], [ Paper ].

      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 ] [ Paper ].

      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 ]

 

Technical Committee

IEEE SPS Computational Imaging (CI) TC , Elected Subcommittee Chair, 2019 - 2024.

IEEE CASS Visual Signal Processing and Communications (VSPC) TC , Elected Member, 2023 - 2025.

Regional Technical Committee

IEEE Signal Processing (SPS) Singapore Chapter, Committee Board ( IEEE SPS-SG), Treasurer, 2021 - Present.

IEEE Aerospace / Remote Sensing Joint Singapore Chapter, Committee Board ( IEEE AES/GRS), 2023 - Present.

Pattern Recognition and Machine Intelligence Association, Committee Board ( PREMIA ), 2021 - 2023.

Journal Editorship

Associate Editor, IEEE Transactions on Circuits and Systems for Video Technology ( T-CSVT ), 2022 - 2025.

Guest Editor, IEEE Journal of Selected Topics in Signal Processing ( JSTSP ), 2023 - 2025.

Guest Editor, Remote Sensing , 2023 - 2024.

Guest Editor, IEEE Signal Processing Magazine ( SPM ), 2021 - 2023.

Guest Editor, Micromachines , 2019 - 2023.

Conference and Workshop Organization

TPC Chair, IEEE International Conference on Control, Automation, Robotics and Vision ( ICARCV 2024 ).

Publication Chair, IEEE International Conference on Multimedia Information Processing and Retrieval ( MIPR 2023 ).

Publicity Chair, IEEE International Conference on Artificial Intelligence ( CAI 2023 ).

Publicity Chair, IEEE International Conference on Control, Automation, Robotics and Vision ( ICARCV 2022 ).

TPC Chair, IEEE International Conference on Multimedia Information Processing and Retrieval ( MIPR 2022 ).

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

Organizer, IEEE SPS Winter School ( VISVA 2020 ).

Organizer, IEEE SPS Webinar Series ( SPACE 2020 ).

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

Demo Chair, IEEE International Conference on Multimedia Information Processing and Retrieval ( MIPR 2019 ).

Conference Area Chair / Senior PC

IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP ), 2019 - 2023.

IEEE International Conference on Image Processing ( ICIP ), 2019-2023

IEEE International Conference on Multimedia and Expo ( ICME ), 2021-2023

AAAI Conference on Artificial Intelligence ( AAAI ), 2023-2024

Conference PC / Reviewer

Conference on Neural Information Processing Systems ( NeurIPS ), 2019 - 2022

Conference on Computer Vision and Pattern Recognition ( CVPR ), 2018 - 2023

International Conference on Computer Vision ( ICCV ), 2019 - 2023

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

European Conference on Computer Vision ( ECCV ), 2022

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 )

Springer International Journal of Computer Vision ( IJCV )

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 )