人工智能/类脑计算、机器人智能

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(3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等。

[1] Mingyue Qin, Shuyu Yin, Qinghai Guo, Peilin Liu, Xiaolin Huang, Fei Wen*, "Zeroth-Order Forward-Only SNN Training Inspiring Neuromorphic On-Chip Learning", International Conference on Machine Learning (ICML), 2026.

[2] Kanyu Zhang, Haochen Niu, Shuyu Yin, Qinghai Guo, Peilin Liu, Fei Wen*, "Boosting Vision-Language-Action Finetuning with Feasible Action Neighborhood Prior," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (selected as Highlight paper!)

[3] Junming Zhang, Shuyu Yin, Peilin Liu, Rendong Ying, Fei Wen*,  "Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation,"  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

[4] Wenbin Jiang, Fei Wen*, Kai Yu, "SelfSE: Self-Supervised Speech Enhancement Via Noisy Speech Refinement," IEEE Transactions on Audio, Speech and Language Processing, 2026.

[5]  Dexin Duan, Rui Xu, Peilin Liu, Fei Wen*, "Lifelong Test-Time Adaptation via Learning in Tracked Low-Dimensional Subspace," NeurIPS, 2025.

[6]  Yuezhang Peng, Yuxin Liu, Fei Wen*, Xie Chen*, "MUZO: Leveraging Multiple Queries and Momentum for Zeroth-Order Fine-Tuning of Large Language Models," Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.

[7]  Jiang, Wenbin, Fei Wen, and Kai Yu. "MOS-GAN: Mean Opinion Score GAN for Unsupervised Speech Enhancement." IEEE Signal Processing Letters, 2025.

[8]  Yin, Shuyu, Qixuan Zhou, Fei Wen, and Tao Luo. "A Priori Estimates for Deep Residual Network in Continuous-Time Reinforcement Learning." SIAM Journal on Mathematics of Data Science, (2025).

[9]  Yan, Zeyu, Peilin Liu, and Fei Wen*, "A Learning Framework for Perceptual Lossy Compression With Stochastic Coding," IEEE Signal Processing Letters, 2025.

[10]  Zhang, Lantao, Haochen Niu, Peilin Liu, Fei Wen, and Rendong Ying, "Efficient Plane Segmentation in Depth Image Based on Adaptive Patch-wise Region Growing," IEEE Robotics and Automation Letters, 2025.

[11]  Duan, Dexin, Peilin Liu, Bingwei Hui, and Fei Wen*, "Brain-inspired online adaptation for remote sensing with spiking neural network," IEEE Transactions on Geoscience and Remote Sensing, 2025.

[12]  Chen, Faquan, Qingyang Tian, Lisheng Xie, Yifan Zhou, Ziren Wu, Liangshun Wu, Rendong Ying, Fei Wen, and Peilin Liu, "EPOC: A 28-nm 5.3 pJ/SOP Event-driven Parallel Neuromorphic Hardware with Neuromodulation-based Online Learning," IEEE Transactions on Biomedical Circuits and Systems, 2024.

[13]  Jiang, Wenbin, Kai Yu, and Fei Wen, "Unsupervised speech enhancement using optimal transport and speech presence probability," IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024.

[14] Niu, Haochen, Peilin Liu, Xingwu Ji, Lantao Zhang, Rendong Ying, and Fei Wen, "BEVGM: A visual place recognition method with bird's eye view graph matching," IEEE Robotics and Automation Letters, 2024.

[15] Ji, Xingwu, Peilin Liu, Haochen Niu, Xiang Chen, Rendong Ying, and Fei Wen, "Object SLAM based on spatial layout and semantic consistency,"  IEEE Transactions on Instrumentation and Measurement, 2023.

[16] Wang, Wei, Fei Wen*, Zeyu Yan, and Peilin Liu. "Optimal Transport for Unsupervised Denoising Learning" IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.

[17] 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.

[18] Wang, W., Zheng, H., Ying, R., & Liu, P., Fei Wen*, Domain Generalization for Face Anti-Spoofing via Negative Data Augmentation. IEEE Transactions on Information Forensics and Security, 2023.

[19] J Wang, P Liu, F Wen*, 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.

[20] Yan, Zeyu, Fei Wen*, and Peilin Liu, Optimally Controllable Perceptual Lossy Compression, ICML, 2022.

[21] Wang, W., Fei Wen*, Zheng, H., Ying, R., & Liu, P., Conv-MLP: A Convolution and MLP Mixed Model for Multimodal Face Anti-Spoofing, IEEE Transactions on Information Forensics and Security, 2022.

[22] Yan, Z., Wen, F.*, Ying, R., Ma, C., & Liu, P., On perceptual lossy compression: The cost of perceptual reconstruction and an optimal training framework, ICML, 2021.

[23] 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

[24] 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

[25] 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.

[26] 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.

[27] 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.

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

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

[30] 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.

[31] 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.

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

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

[34] 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.

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

[36] 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.

研究生课程：ICE6509--类脑智能算法与体系架构

1. 上海交通大学优秀博士后奖励基金一等奖 (2018)

2. JD科技进步奖三等奖2项 (2013，2016)

3. 华为火花奖 (2023)