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)
Haonan Zhang, Longjun Liu, Yi Zhang, Xinyu Lei and Bihan Wen, (2025) "DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance", IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

Gaosheng Liu, Huanjing Yue, Bihan Wen and Jingyu Yang, (2025) "Learned Focused Plenoptic Image Compression with Local-Global Correlation Learning", IEEE Transactions on Multimedia (TMM).

Hong Duc Nguyen, Deruo Cheng, Xinrui Wang, Yiqiong Shi and Bihan Wen, (2025) "Data-Efficient Deep Learning for Printed Circuit Board Defect Detection Using X-Ray Images" IEEE Transactions on Instrumentation & Measurement (TIM).

Yi Ma, Yuejie Chi, Ivan Dokmanic, Bihan Wen, John N. Wright and Zhihui Zhu, (2025) "Introduction to the Special Issue Seeking Low-dimensionality in Deep Neural Networks (Editorial)", IEEE Journal of Selected Topics in Signal Processing (JSTSP).

Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot and Bihan Wen, (2024) "Beyond Learned Metadata-based Raw Image Reconstruction," International Journal of Computer Vision (IJCV).

Songnan Lin, Ye Ma, Jing Chen and Bihan Wen, (2024) "Compressed Event Sensing (CES) Volumes for Event Cameras," International Journal of Computer Vision (IJCV).

Meng Pang, Binghui Wang, Mang Ye, Yiu-ming Cheung, Yintao Zhou, Wei Huang and Bihan Wen, (2024) "Heterogeneous Prototype Learning from Contaminated Faces across Domains via Disentangling Latent Factors", IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

Tao Bai, Yiming Cao, Yonghao Xu and Bihan Wen, (2024) "Stealthy Adversarial Examples for Semantic Segmentation in Remote Sensing" IEEE Transactions on Geoscience and Remote Sensing (TGRS).

Eleanor Tennant, Susanna F Jenkins, Victoria Miller, Richard Robertson, Bihan Wen, Sang-Ho Yun and Benoit Taisne, (2024) "Automating tephra fall building damage assessment using deep learning," Natural Hazards and Earth System Sciences (NHESS).

Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiachao Zhang, Jiantao Zhou and Ce Zhu, (2024) "Structured Residual Sparsity for Video Compressive Sensing Reconstruction", Signal Processing .

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).

Lanqing Guo, Siyu Huang, Haosen Liu and Bihan Wen, (2024) "Towards Robust Image Denoising via Flow-based Joint Image and Noise Model", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).

Haonan Zhang, Longjun Liu, Yuqi Huang, Xinyu Lei, Lei Tong and Bihan Wen, (2024) "InstKD: Towards Lightweight 3D Object Detection with Instance-aware Knowledge Distillation", IEEE Transactions on Intelligent Vehicles (TIV).

Hengmin Zhang, Jian Yang, Jianjun Qian, Chen Gong, Xin Ning, Zhiyuan Zha and Bihan Wen, (2024) "Faster Nonconvex Low-rank Matrix Learning for Image Low-level and High-level Vision: A Unified Framework" Information Fusion .

Meichen Liu, Songnan Lin, Hengmin Zhang, Zhiyuan Zha and Bihan Wen, (2024) "Intrinsic-Style Distribution Matching for Arbitrary Style Transfer", Knowledge-Based Systems .

Yuanlun Xie, Wenhong Tian, Liang Song, Ruini Xue, Zhiyuan Zha and Bihan Wen, (2024) "A joint learning method with consistency-aware for low-resolution facial expression recognition" Expert Systems with Applications .

Tian Lan, Shuting He, Yuanyuan Qing and Bihan Wen , (2024) "Leveraging Mixed Data Sources for Enhanced Road Segmentation in SAR Images", Remote Sensing .

Hong Duc Nguyen, Deruo Cheng, Xinrui Wang, Yiqiong Shi and Bihan Wen , (2024) "Data-Efficien Deep Learning for Printed CircuitBoard Defect Detection Using X-Ray Images" IEEE Transactions on Instrumentation and Measurement (TIM).

Jiang Zhu, Van Kwan Zhi Koh, Zhiping Lin and Bihan Wen , (2024) "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).

Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du and Bihan Wen , (2024) "Enhancing generalized spectral clustering with embedding Laplacian graph regularization", CAAI Transactions on Intelligence Technology .

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).
Conference Papers
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Shiqi Huang, Shuting He and Bihan Wen, "ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation" Annual AAAI Conference on Artificial Intelligence (AAAI) 2025.

Wenjie Xu, Meichen Liu and Bihan Wen, "Low-Rank Transformer Adaptation for Arbitrary Style Transfer," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025.

Ye Ma, Songnan Lin and Bihan Wen, "Hyperspectral Image Reconstruction with Unseen Material Detection," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025.

Yuhao Mo, Po Peng, Bihan Wen, Xulei Yang, Ce Zhu and Xun Xu, "Distribution Alignment Informed Thresholding for Semi-Supervised Curvilinear Structure Segmentation," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025.

Van Kwan Zhi Koh, Ye Li, Ehsan Shafie, Zhiping Lin and Bihan Wen, "Harnessing Forecast Uncertainty in Deep Learning for Time Series Anomaly Detection with Posterior Distribution Scoring", IEEE International Symposium on Circuits and Systems (ISCAS) 2025.

Hongjun Sheng, Xinggan Peng, Van Kwan Zhi Koh, Bihan Wen and Zhiping Lin, "TWavefussion: Wavelet-based Diffusion with Transformer for Multivariate Time Series Anomaly Detection", IEEE International Symposium on Circuits and Systems (ISCAS) 2025.

Zhihao Li, Yufei Wang, Alex Kot and Bihan Wen, "From Chaos to Clarity: 3DGS in the Dark," Conference on Neural Information Processing Systems (NeurIPS) 2024.

Yufei Wang, Zhihao Li, Lanqing Guo, Wenhan Yang, Alex Kot and Bihan Wen, "ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model," Conference on Neural Information Processing Systems (NeurIPS) 2024.

Heng Zhao, Zhao Yinjie, Bihan Wen, Yew-Soon Ong and Joey Tianyi Zhou, "Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding," Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

Xiyu Wang, Yufei Wang, Satoshi Tsutsui, Weisi Lin, Bihan Wen and Alex C Kot, (2024) "Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models," ACM International Conference on Multimedia (ACM MM)

Meichen Liu, Shuting He, Songnan Lin and Bihan Wen, (2024) "Dual-head Genre-instance Transformer Network for Arbitrary Style Transfer," ACM International Conference on Multimedia (ACM MM)

Zhihao Li, Yufei Wang, Alex Kot and Bihan Wen (2024), "Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach," International Conference on Machine Learning (ICML), 2024.

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

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

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

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 (2024), "Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation," European Conference on Computer Vision (ECCV).

Hao Cheng, Siyuan Yang, Chong Wang, Joey Tianyi Zhou, Alex Kot and Bihan Wen (2024), "STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning," European Conference on Computer Vision (ECCV).

Zixuan Fu, Lanqing Guo, Chong Wang, Yufei Wang, Zhihao Li and Bihan Wen (2024), "Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers," European Conference on Computer Vision (ECCV).

Shuting He, Henghui Ding, Xudong Jiang and Bihan Wen (2024), "SegPoint: Segment Any Point Cloud via Large Language Model," European Conference on Computer Vision (ECCV).

Kailai Zhou, Lijing Cai, Yibo Wang, Mengya Zhang, Bihan Wen, Qiu Shen and Xun Cao (2024), "Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography," European Conference on Computer Vision (ECCV).

Winnie Pang, Xueyi Ke, Satoshi Tsutsui and Bihan Wen (2024), "Concept Alignment: Integrating Clinical Knowledge into Concept Bottleneck Models," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI).

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

Purui Zhang, Xingchao Jian, Feng Ji, Wee Peng Tay and Bihan Wen, (2024) "Spectral Convergence of Simplicial Complex Signals", IEEE International Symposium on Information Theory (ISIT).

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

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

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) .
 
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), 2022 - 2025
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.
Guest Editor, Computer Vision and Image Understanding (CVIU), 2024-2025.
Keynote Speaker, ICME 2024, MMVRAC Workshop
Keynote Speaker, CVPR 2021, UG2 Workshop
Keynote Speaker, CVPR 2020, UG2 Workshop
Opinions & Commentaries
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Google Scholar
Web of Science
Scopus