Academic Profile : Faculty

BihanWen_NTU2020_long2.jpg picture
Asst Prof Wen Bihan
Nanyang Assistant Professor, School of Electrical & Electronic Engineering
External Links
 
Journal Articles
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Hengmin Zhang, Jian Yang, Jianjun Qian, Guangwei Gao, Xiangyuan Lan, Zhiyuan Zha and Bihan Wen, (2024) "Efficient Image Classification via Structured Low-rank Matrix Factorization Regression" IEEE Transactions on Information Forensics and Security (TIFS).

Yuanyuan Qing, Tao Bai, Zhuotao Liu, Moulin Pierre and Bihan Wen, (2024) "Detection of Adversarial Attacks via Disentangling Natural Images and Perturbations" IEEE Transactions on Information Forensics and Security (TIFS).

Xiang Chen, Wenjun Xia, Ziyuan Yang, Hu Chen, Yan Liu, Jiliu Zhou, Zhe Wang, Yang Chen, Bihan Wen and Yi Zhang, (2023) “SOUL-Net: A sparse and low-rank unrolling network for spectral ct image reconstruction” IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

Kunlei Jing, Xinman Zhang, Chen Zhang, Wanyu Lin, Hebo Ma, Meng Pang and Bihan Wen, (2023) "Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition" IEEE Transactions on Information Forensics and Security (TIFS).

Lanqing Guo, Renjie Wan, Wenhan Yang, Alex Kot and Bihan Wen, (2023) “Cross-Image Disentanglement for Low-Light Enhancement in Real World” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).

Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiachao Zhang, Jiantao Zhou, Xudong Jiang and Ce Zhu, (2023) "Multiple Complementary Priors for Multispectral Image Compressive Sensing Reconstruction" IEEE Transactions on Cybernetics (TCYB).

Hengmin Zhang, Bihan Wen, Zhiyuan Zha, Bob Zhang, Yang Tang, Guo Yu and Wenli Du, (2023) "Accelerated PALM for Nonconvex Low-rank Matrix Recovery with Theoretical Analysis" IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).

Hao Cheng, Yufei Wang, Haoliang Li, Alex C. Kot and Bihan Wen, (2023) "Disentangled Feature Representation for Few-shot Image Classification," IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

Tao Bai, Jun Zhao and Bihan Wen, (2023) "Guided Adversarial Contrastive Distillation for Robust Students", IEEE Transactions on Information Forensics & Security (TIFS).

Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiachao Zhang, Jiantao Zhou, Yilong Lu and Ce Zhu, (2023) "Non-Local Structured Sparsity Regularization Modeling for Hyperspectral Image Denoising" IEEE Transactions on Geoscience and Remote Sensing (TGRS).

Hengmin Zhang, Shuyi Li, Jing Qiu, Yang Tang, Jie Wen, Zhiyuan Zha and Bihan Wen, (2023) “Efficient and Effective Nonconvex Low-rank Subspace Clustering via SVT-free Operators,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).

Yuanyuan Qing, Jiang Zhu, Hongchuan Feng, Weixian Liu and Bihan Wen, (2023) "Two-Way Generation of High-Resolution EO and SAR Images via Dual Distortion-Adaptive GANs", Remote Sensing.

Hao Cheng, Tianyi Zhou, Wee Peng Tay and Bihan Wen, (2023) "Graph Neural Networks With Triple Attention For Few-Shot Learning", IEEE Transactions on Multimedia (TMM).

Hao Cheng, Kim Hui Yap and Bihan Wen, (2023) "Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification," Neurocomputing .

Zhiyuan Zha, Bihan Wen, Xin Yuan, Saiprasad Ravishankar, Jiantao Zhou and Ce Zhu, (2023) "Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing" IEEE Signal Processing Magazine (SPM) .

Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes and Jong Chui Ye, (2023) "Physics-Driven Machine Learning for Computational Imaging, Part-I, Editorial", IEEE Signal Processing Magazine (SPM).

Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes and Jong Chui Ye, (2023) "Physics-Driven Machine Learning for Computational Imaging, Part-II, Editorial", IEEE Signal Processing Magazine (SPM).

Rongkai Zhang, C. Zhang, Z. Cao, S. Wen, P. Tan, J. Zhang, Bihan Wen and J. Dauwels, (2022) "Learning to Solve Multiple-TSP with Time Window and Rejection via Deep Reinforcement Learning," IEEE Transactions on Intelligent Transportation Systems (TITS) .

Yafei Xu, Xingyu Wang, Hongkuan Zhou, Yushan Hou, Bihan Wen, Liuyang Zhang, Ruqiang Yan and Xuefeng Chen, (2022) "Real-time terahertz characterization for composite delamination using a lightweight CPU adaptive network," Composites Part B: Engineering .

Tao Bai, Hao Wang and Bihan Wen, (2022) "Targeted Universal Adversarial Examples for Remote Sensing," Remote Sensing .

Yufei Wang, Haoliang Li, Hao Cheng, Bihan Wen, L-P. Chau and Alex Kot, (2022) "Variational Disentanglement for Domain Generalization," Transactions on Machine Learning Research (TMLR).

Lanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, and Bihan Wen. (2022). Exploiting Non-Local Priors via Self-Convolution For Highly-Efficient Image Restoration. IEEE Transactions on Image Processing, 31, 1311-1324.

Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan and Deijing Dou. (2022). Temporal Output Discrepancy for Loss Estimation-Based Active Learning. IEEE Transactions on Neural Networks and Learning Systems.

Tian Lan, Hao Cheng, Yi Wang and Bihan Wen. (2022). Site Selection via Learning Graph Convolutional Neural Networks: A Case Study of Singapore. Remote Sensing.

Meng Pang, Binghui Wang, Siyu Huang, Yiu-ming Cheung, and Bihan Wen. (2022). A Unified Framework for Bidirectional Prototype Learning from Contaminated Faces across Heterogeneous Domains. IEEE Transactions on Information Forensics and Security.

Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu, Alex Chichung Kot. (2022). Low-Rankness Guided Group Sparse Representation for Image Restoration. IEEE Transactions on Neural Networks and Learning Systems.

Xiang Chen, Wenjun Xia, Yan Liu, Hu Chen, Jiliu Zhou, Zhiyuan Zha, Bihan Wen and Yi Zhang. (2022). FONT-SIR: Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction. IEEE Transactions on Medical Imaging.

Hong Duc Nguyen, Rizhao Cai, Heng Zhao, Alex C. Kot and Bihan Wen. (2022). Towards More Efficient Security Inspection Via Deep Learning: A Task-Driven X-Ray Image Cropping Scheme. Micromachines.
Conference Papers
(Not applicable to NIE
staff as info will be
pulled from PRDS)
S. Tsutsui, W. Pang and B. Wen, (2023) "WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes," Conference on Neural Information Processing Systems (NeurIPS).

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

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

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

Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, B. Wen, Radu Timofte and Luc Van Gool, (2023) "Denoising Diffusion Models for Plug-and-Play Image Restoration," IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), NTIRE 2023 .

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 .

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), 2023 .

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 .

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

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

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

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

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

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

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.

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

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

J. Duan, S. Yu, S. Poria, B. Wen and C. Tan. (2022). PIP: Physical Interaction Prediction via Mental Simulation with Span Selection. European Conference on Computer Vision (ECCV).

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

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

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

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

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

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

Y. Lin, J. Li, L. Guo and B. Wen. (2022). RE2L: A Real-World Dataset for Outdoor Low-Light Image Enhancement. International Conference on Multimedia Information Processing and Retrieval (MIPR).
 
Keynote Speeches & Editorship of Special Issues
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Associate Editor, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)
Guest Editor, IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2023 - 2025
Guest Editor, IEEE Signal Processing Magazine (SPM), 2 Special Issues, 2021 - 2023.
Guest Editor, Remote Sensing, 2023-2025
Associate Editor, MDPI Micromachines
Invited Speaker, SlowDNN Workshop 2023
Keynote Speaker, CVPR 2021, UG2 Workshop
Keynote Speaker, CVPR 2020, UG2 Workshop
Invited Speaker, IEEE SPACE Webinar, 2020 - 2021
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