教育
伊利诺伊香槟大学(UIUC), 美国
2012 - 2018, 研究生 / 博士生, 计算机与电子工程 (ECE)
导师： Prof. Yoram Bresler
研究兴趣: 机器学习， 稀疏表达， 大数据， 图像/视频处理
南洋理工大学 (NTU), 新加坡
2008 - 2012, 本科, 电子电机工程 (EEE)
导师： Prof. Yilong Lu
成都石室中学，中国
2004 - 2007, 高中教育
近期发表
Preprint
Laniqng Guo, Chong Wang, Yufei Wang, Siyu Huang, Wenhan Yang, Alex C. Kot, and Bihan Wen, "Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey" [ Preprint ] [ Collection of Awesome Shadow Removal AI ]. First Survey on Deep Image Shadow Removal.
Yufei Wang, Lanqing Guo, Zhihao Li, Jiaxing Huang, Pichao WANG, Bihan Wen and Jian Wang, "Training-Free Text-Guided Image Editing with Visual Autoregressive Model," [ Preprint ] [ Codes ] VAR for Image Editing.
Zhihao Li, Yufei Wang, Heliang Zheng, Yihao Luo and Bihan Wen, "SparC: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling," [ Preprint ] [ Project Page ]. AI for HD 3D Representation and Generation.
Jiarui Zhang, Zhihao Li, Chong Wang and Bihan Wen, "RF4D: Neural Radar Fields for Novel View Synthesis in Outdoor Dynamic Scenes," [ Preprint ] [ Project Page ]. AI for Outdoor 4D Radar Reconstruction.
Bihan Wen, Yanjun Li, Yuqi Li, and Yoram Bresler, "A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems," [ Preprint ].
2025
Ziwang Xu, Lanqing Guo, Satoshi Tsutsui, Shuyan Zhang, Alex C. Kot and Bihan Wen, "Digital Staining Without Aligned Samples: An Unsupervised Approach via Knowledge Distillation" IEEE Transactions on Medical Imaging (TMI). [ Preprint ] [ Paper ] [ Codes ]
Yakun Ju, Boxin Shi, Bihan Wen, Kin-Man Lam, Xudong Jiang and Alex Kot, "Revisiting One-stage Deep Uncalibrated Photometric Stereo via Fourier Embedding" IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). [ Paper ]
Chong Wang, Lanqing Guo, Zixuan Fu, Siyuan YANG, Hao Cheng, Alex Kot and Bihan Wen, "Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [ Preprint ], [ Codes ].
Xinrui Wang, Lanqing Guo, Xiyu Wang, Siyu Huang and Bihan Wen, "SoftShadow: Leveraging Soft Masks for Penumbra-Aware Shadow Removal," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [ Preprint ], [ Codes ].
Xueyi Ke, Satoshi Tsutsui, Yayun Zhang and Bihan Wen, "Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [ Preprint ], [ Codes ].
Shiqi Huang, Shuting He and Bihan Wen, "ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation" Annual AAAI Conference on Artificial Intelligence (AAAI) 2025. [ Preprint ], [ Codes ], [ Paper ].
Haonan Zhang, Longjun Liu, Yi Zhang, Xinyu Lei and Bihan Wen "DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance", IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
[ Paper ]
Gaosheng Liu, Huanjing Yue, Bihan Wen and Jingyu Yang "Learned Focused Plenoptic Image Compression with Local-Global Correlation Learning", IEEE Transactions on Multimedia (TMM). [ Paper ]
Hong Duc Nguyen, Deruo Cheng, Xinrui Wang, Yiqiong Shi and Bihan Wen, "Data-Efficient Deep Learning for Printed Circuit Board Defect Detection Using X-Ray Images" IEEE Transactions on Instrumentation & Measurement (TIM).
[ Paper ]
Liaoliao Wei, Caroline Livan Anyi, Huakun Li, Haitao Nie, Bihan Wen and Tong Ling, "Fast 3D localization of nano-objects in wide-field interferometric scattering microscopy via vectorial diffraction model-derived analytical fitting", NJP Nanophotonics. To Appear.
Van Kwan Zhi Koh, Ye Li, Xing Yong Kek, Ehsan Shafiee, Zhiping Lin and Bihan Wen, "A review of recent hybridized machine learning methodologies for time series forecasting on water-related variables", Journal of Hydrology.
[ Paper ]
Wenjie Xu, Meichen Liu and Bihan Wen, "Low-Rank Transformer Adaptation for ArbitraryStyle Transfer," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025. [ Paper ]
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. [ Paper ]
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. [ Paper ]
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. To Appear.
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. To Appear.
Yi Ma, Yuejie Chi, Ivan Dokmanic, Bihan Wen, John N. Wright and Zhihui Zhu, "Introduction to the Special Issue Seeking Low-dimensionality in Deep Neural Networks (Editorial)", IEEE Journal of Selected Topics in Signal Processing (JSTSP). [ Editorial ]
