简介

文碧汉

南洋助理教授, 电子电气学院 (EEE)

新加坡南洋理工大学 (NTU)

 

硕士 15', 博士 18', 计算机电子工程 , 伊利诺伊香槟大学 (UIUC)

本科 12', 电子电气工程 , 新加坡南洋理工大学 (NTU)

电邮: bihan.wen at ntu.edu.sg

最近新闻

  • 2021

  • [发表] 近期被接收刊物论文: TIP x 2, TCYB x 1, TDSC x 1, TIFS x 1, IEEE TNNLS x 1.

    [发表] 近期被接收会议论文: IJCAI 2021 x 1, ICASSP 2021 x 2, ICIP 2021 x 5.

    [活动] 我们组织的 机器学习与成像特刊 , with Micromachines (CSI), 欢迎赐稿,截止到10月中旬.

    [活动] 我们组织的 LCI Workshop 2021 ,将在 ICCV 2021 期间联合举办,欢迎投稿。

    [活动] 我受邀将在 UG2 Workshop @ CVPR 2021 做主题报告.

    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

  •       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

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

          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 ], to appear.

          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, to appear.

          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. To Appear.

          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. To Appear.

          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. To Appear.

          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. To Appear.