文飞副研究员

址:微电子楼309

话:

箱:wenfei@sjtu.edu.cn

研究中心:类脑智能应用技术研究中心

个人主页:bat.sjtu.edu.cn

个人简介

文飞, 副研究员、博士生导师。分别于2006年和2013年在电子科技大学电子工程学院获得学士与博士学位, 2012年在清华大学电子系访问研究, 2015-2018在上海交通大学从事博士后研究工作。主要从事类脑计算、信号/图像处理、机器人导航方面的研究。在IEEE T-PAMI、IEEE T-RO、IEEE T-SP、IEEE T-IP等期刊和ICML、ICASSP、IROS等会议发表论文30余篇。任IEEE Senior Member,担任 International Journal of Robotics Research (IJRR) 编委。

主持的项目包括:国家自然科学基金青年项目、国家自然科学基金面上项目(2项)、科技创新2030--“脑科学与类脑智能”国家重大专项子课题、科技创新2030--“新一代人工智能”国家重大专项子课题、上海市重大科技攻关子课题, 以及中航、中电、三星公司等横向项目多项。



研究方向
类脑计算、信号/图像处理、机器人导航
获奖情况

1. 上海交通大学优秀博士后奖励基金一等奖 (2018)

2. 军队科技进步奖三等奖2项 (2013,2016)

3. 华为火花奖 (2022)

授课
研究生课程:ICE6509--类脑智能算法与体系架构
学术兼职
International Journal of Robotics Research (IJRR) 编委 
著作及专利
重要论文

[1]   Wang, Wei, Fei Wen(共一/通信作者), Zeyu Yan, and Peilin Liu. "Optimal Transport for Unsupervised Denoising Learning." IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. (CCF-A)

[2]   F. Chen, R. Ying, J. Xue, F. Wen, P. Liu, ParallelNN: A Parallel Octree-based Nearest Neighbor Search Accelerator for 3D Point Clouds, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2023. (CCF-A)

[3]   Wang, W., Zheng, H., Ying, R., & Liu, P., Wen, F.(通信作者), Domain Generalization for Face Anti-Spoofing via Negative Data Augmentation. IEEE Transactions on Information Forensics and Security, 2023. (CCF-A)

[4]   J Wang, P Liu, F Wen(通信作者), Self-Supervised Learning for RGB-Guided Depth Enhancement by Exploiting the Dependency Between RGB and Depth, IEEE Transactions on Image Processing, 32, 159-174, 2022. (CCF-A)

[5]   Yan, Zeyu, Fei Wen(通信作者), and Peilin Liu. "Optimally Controllable Perceptual Lossy Compression." In International Conference on Machine Learning, pp. 24911-24928, 2022. (CCF-A)

[6]   Wang, W., Wen, F.(通信作者), Zheng, H., Ying, R., & Liu, P. (2022). Conv-MLP: A Convolution and MLP Mixed Model for Multimodal Face Anti-Spoofing. IEEE Transactions on Information Forensics and Security, 17, 2284-2297. (CCF-A)

[7]   Yan, Z., Wen, F.(通信作者), Ying, R., Ma, C., & Liu, P.. On perceptual lossy compression: The cost of perceptual reconstruction and an optimal training framework. In International Conference on Machine Learning (pp. 11682-11692), 2021, (CCF-A).

[8]   Fei Wen, R. Ying, P. Liu, “A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image Deblurring”, IEEE Transactions on Circuits and Systems for Video Technology, 31(8), 2021

[9]   W Xue, R Ying, F Wen, Y Chen, P Liu, Active SLAM with Prior Topo-metric Graph Starting at Uncertain Position, IEEE Robotics and Automation Letters, 2021

[10] J. Wang, P. Liu, Fei Wen, R. Ying, W. Wang, “Phase Unwrapping for Time-of-Flight Sensor based on Image Segmentation,” IEEE Sensors Journal, 2021.

[11] Fei Wen, L. Chu, R. Ying, P. Liu, “Fast and Positive Definite Estimation of Large Covariance Matrix for High-Dimensional Data Analysis,” IEEE Transactions on Big Data, 7(3), 2021.

[12] Zhang, Z., Liu, Y., Liu, J., Wen, F., Zhu, C.. AMP-Net: Denoising-based deep unfolding for compressive image sensing. IEEE Transactions on Image Processing, 30, 1487-1500, 2020.

[13] Fei Wen, R. Ying, P. Liu, R. C. Qiu, “Robust PCA Using Generalized Nonconvex Regularization,” IEEE Trans. Circuits Systems Video Technology, 30(16), 2020.

[14] Fei Wen, R. Ying, P. Liu, “Efficient Algorithms for Maximum Consensus Robust Fitting,” IEEE Transactions on Robotics, vol. 36, no. 1, 2020

[15] Gong, Z., Liu, P., Wen, Fei, Ying, R. “Graph-Based Adaptive Fusion of GNSS and VIO Under Intermittent GNSS-Degraded Environment,” IEEE Transactions on Instrumentation and Measurement, 2020.

[16] Fei Wen and P. Liu, et al, “Nonconvex Regularized Robust PCA Using Proximal Block Coordinate Descent Algorithm,” IEEE Transactions on Signal Processing, 67(20):2019.

[17] L. Chu, Fei Wen(通信作者), R.C. Qiu, “Efficient Nonlinear Precoding for Massive MIMO Downlink Systems with 1-Bit DACs,” IEEE Transactions on Wireless Communications, 18(9), 2019.

[18] Fei Wen, P. Liu, et al, “Joint azimuth, elevation, and delay estimation for 3D indoor localization,” IEEE Transactions on Vehicular Technology, 67(8), 2018.

[19] Fei. Wen, L. Pei, “Efficient and robust recovery of sparse signal and image using generalized nonconvex regularization,” IEEE Transactions Computational Imaging, 3(4): 566--579, 2017.

[20] W. Xie, Fei Wen, Q. Wan, “Source Association, DOA, and Fading Coefficients Estimation for Multipath Signals,” IEEE Transactions on Signal Processing, 65(11), 2017.

[21] Fei Wen, P. Liu, Y. Liu, et al. “Robust sparse recovery in impulsive noise via Lp-L1 optimization,” IEEE Transactions on Signal Processing, 65(1), 105--118, 2017.