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Fei Wen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Fei Wen 0001
— Lanzhou Jiaotong University, Lanzhou, China - Fei Wen 0002
— Wuhan Maritime Communication Research Institute, China - Fei Wen 0003
— Texas A&M University, TX, USA - Fei Wen 0004
— Wuhan University, Wuhan, China - Fei Wen 0005
— Shanghai Jiao Tong University, Shanghai, China - Fei Wen 0006
— No.722 Research Institute of CSSC, China
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2020 – today
- 2025
[j16]Fei Wen, Hua Wu
, Xingxing Zhang
, Yanmin Shuai, Jiapeng Huang, Xin Li, Junyao Huang:
Accurate recognition and segmentation of northern corn leaf blight in drone RGB Images: A CycleGAN-augmented YOLOv5-Mobile-Seg lightweight network approach. Comput. Electron. Agric. 236: 110433 (2025)
[j15]Fei Wen, Li Zhou, Zepeng Li:
Adjacent vertex strongly distinguishing total coloring of graphs with lower average degree. Discuss. Math. Graph Theory 45(1): 5-20 (2025)
[j14]Dongyang Li, Liujia Ma, Mingyue Qin, Peilin Liu, Fei Wen:
Self-ensemble for test time adaptation. Neurocomputing 653: 131038 (2025)
[j13]Zhongzheng Yue, Fei Wen, Zhijun Li:
Neighbor full sum distinguishing total coloring of planar graphs. J. Supercomput. 81(1): 309 (2025)
[c20]Hyun Woo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Behnam Khaleghi, Fei Wen, Mohsen Imani:
A Multimodal AI Acceleration with Dynamic Pruning and Run-Time Configuration. FCCM 2025: 293
[c19]Lele Chang, Peilin Liu, Qinghai Guo, Fei Wen:
Explicit Mutual Information Maximization for Self-Supervised Learning. ICASSP 2025: 1-5
[c18]Weihang Wang, Jun Wang, Fei Wen:
Self-supervised End-to-end ToF Imaging Based on RGB-D Cross-modal Dependency. IJCAI 2025: 1982-1990
[c17]Shuyu Yin, Fei Wen, Peilin Liu, Tao Luo:
Probing Implicit Bias in Semi-gradient Q-learning: Visualizing the Non-equilibrium Loss Landscapes via the Fokker-Planck Equation. IJCNN 2025: 1-9
[c16]Hanning Chen, Ali Zakeri, Yang Ni, Fei Wen, Behnam Khaleghi, Hugo Latapie, Alvaro Velasquez, Mohsen Imani:
KGAccel: A Domain-Specific Reconfigurable Accelerator for Knowledge Graph Reasoning. NeuS 2025: 424-445
[c15]Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani:
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. WACV 2025: 5239-5249
[c14]Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani:
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. WACV 2025: 9353-9363- 2024
[c13]Hanning Chen
, Wenjun Huang, Yang Ni, Sanggeon Yun, Yezi Liu, Fei Wen, Alvaro Velasquez, Hugo Latapie, Mohsen Imani
:
TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. ECCV Workshops (20) 2024: 401-418
[c12]Hanning Chen, Ali Zakeri, Yang Ni, Fei Wen, Behnam Khaleghi, Hugo Latapie, Mohsen Imani:
High-Performance Reconfigurable Accelerator for Knowledge Graph Reasoning. FCCM 2024: 219
[i12]Shuyu Yin, Qixuan Zhou, Fei Wen, Tao Luo:
A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning. CoRR abs/2402.16899 (2024)
[i11]Hanning Chen, Yang Ni, Ali Zakeri, Zhuowen Zou, Sanggeon Yun, Fei Wen, Behnam Khaleghi, Narayan Srinivasa, Hugo Latapie, Mohsen Imani:
HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning. CoRR abs/2403.05763 (2024)
[i10]Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Fei Wen, Hugo Latapie, Mohsen Imani:
TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. CoRR abs/2403.08108 (2024)
[i9]Shuyu Yin, Fei Wen, Peilin Liu, Tao Luo:
Probing Implicit Bias in Semi-gradient Q-learning: Visualizing the Effective Loss Landscapes via the Fokker-Planck Equation. CoRR abs/2406.08148 (2024)
[i8]Shuyu Yin, Fei Wen, Peilin Liu, Tao Luo:
Analyzing and Bridging the Gap between Maximizing Total Reward and Discounted Reward in Deep Reinforcement Learning. CoRR abs/2407.13279 (2024)
[i7]Dexin Duan, Peilin Liu, Fei Wen:
Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network. CoRR abs/2409.02146 (2024)
[i6]Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani:
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. CoRR abs/2409.02715 (2024)
[i5]Lele Chang, Peilin Liu, Qinghai Guo, Fei Wen:
Explicit Mutual Information Maximization for Self-Supervised Learning. CoRR abs/2409.04747 (2024)
[i4]Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani:
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. CoRR abs/2409.08464 (2024)- 2023
[c11]Hanning Chen, Ali Zakeri, Fei Wen, Hamza Errahmouni Barkam, Mohsen Imani:
HyperGRAF: Hyperdimensional Graph-Based Reasoning Acceleration on FPGA. FPL 2023: 34-41
[i3]Fei Wen, Wei Wang, Wenxian Yu:
Sparsity-Aware Optimal Transport for Unsupervised Restoration Learning. CoRR abs/2305.00273 (2023)- 2022
[j12]Wensheng Wang, Fei Wen, Yejun Yang, Yuting Jia:
Study of the Impact of the Rise and Fall of the Coal Industry on the Regional Economy. J. Glob. Inf. Manag. 30(6): 1-17 (2022)
[j11]Yuhao Cheng
, Xiaoguang Zhu, Jiuchao Qian, Fei Wen, Peilin Liu:
Cross-modal Graph Matching Network for Image-text Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 18(4): 95:1-95:23 (2022)
[c10]Zeyu Yan, Fei Wen, Peilin Liu:
Optimally Controllable Perceptual Lossy Compression. ICML 2022: 24911-24928
[i2]Zeyu Yan, Fei Wen, Peilin Liu:
Optimally Controllable Perceptual Lossy Compression. CoRR abs/2206.10082 (2022)- 2021
[j10]Jiawei Mo, Yubin Lan, Dongzi Yang, Fei Wen, Hongbin Qiu, Xin Chen, Xiaoling Deng
:
Deep Learning-Based Instance Segmentation Method of Litchi Canopy from UAV-Acquired Images. Remote. Sens. 13(19): 3919 (2021)
[j9]Fei Wen, Yanfeng Yue
:
A Study of Deep Learning Combined with Phonetic Models in Foreign Language Teaching. Wirel. Pers. Commun. 119(1): 275-288 (2021)
[i1]Youcai Zhang, Yuhao Cheng, Xinyu Huang, Fei Wen, Rui Feng, Yaqian Li, Yandong Guo:
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels. CoRR abs/2112.07368 (2021)
2010 – 2019
- 2019
[c9]Junhong Chen, Jiuchao Qian, Xiaoguang Zhu, Fei Wen, Yan Hong, Peilin Liu:
CD-ABM: Curriculum Design with Attention Branch Model for Person Re-identification. PRICAI (3) 2019: 621-635- 2018
[c8]Xinxing Zhou, Quanwang Cai, Zheng Wang, Fei Wen, Yaoming Qiu:
Efficient design and implementation of channelized reconnaissance receiver. ICCIP 2018: 294-298- 2017
[j8]Ming Huang
, Wenjun Huang
, Fei Wen, Ronald G. Larson
:
Efficient estimation of binding free energies between peptides and an MHC class II molecule using coarse-grained molecular dynamics simulations with a weighted histogram analysis method. J. Comput. Chem. 38(23): 2007-2019 (2017)
[c7]Taha Bouras
, Di He, Fei Wen, Peilin Liu, Wenxian Yu:
A Novel Accurate Source Number Estimation Method Based on GBSA-MDL Algorithm. ChinaCom (2) 2017: 383-392- 2016
[c6]Daulet Alibi, Umer Javed, Fei Wen, Di He, Peilin Liu, Yi Zhang, Ling-ge Jiang:
2D DOA estimation method based on channel state information for uniform circular array. UPINLBS 2016: 68-72
[c5]Fei Wen, Umer Javed, Yuan Yang, Di He, Yi Zhang:
Improved subspace direction-of-arrival estimation in unknown nonuniform noise fields. UPINLBS 2016: 230-233- 2015
[j7]Jingwen Li, Tengyun Hu, Fei Wen:
The algorithm for adjacent vertex distinguishing proper edge coloring of graphs. Discret. Math. Algorithms Appl. 7(4): 1550044:1-1550044:13 (2015)
[c4]Xinxin Ouyang, Qun Wan, Jinyu Xiong, Fei Wen:
Cramer-Rao Bound of TDOA estimation for frequency-hopping signals in fading channels. ChinaSIP 2015: 1032-1036- 2014
[j6]Fei Wen, Qiongxiang Huang, Zhenzhen Lou:
The packing number and Laplacian spectrum of a graph. Int. J. Comput. Math. 91(7): 1422-1427 (2014)- 2013
[j5]Fei Wen, Qiongxiang Huang:
On the Laplacian spectral characterization of the generalized T-shape trees. Ars Comb. 112: 419-432 (2013)
[j4]Fei Wen, Qun Wan:
Maximum likelihood and signal-selective TDOA estimation for noncircular signals. J. Commun. Networks 15(3): 245-251 (2013)- 2012
[c3]Fei Wen, Qun Wan, Jiyan Huang:
Effectiveness of the Wideband Minimum Variance Direction Finding Method in Nonuniform Noise. CIT 2012: 277-280- 2011
[j3]Zhiwen Wang, Jaeun Lee, Jingwen Li, Fei Wen:
The Smarandachely Adjacent Vertex Total Coloring of a kind of 3-regular Grapsh. Ars Comb. 99: 45-53 (2011)
[j2]Fei Wen, Qun Wan:
Robust time delay estimation for speech signals using information theory: A comparison study. EURASIP J. Audio Speech Music. Process. 2011: 3 (2011)- 2010
[j1]Jingwen Li, Zhiwen Wang, Zhongfu Zhang, Enqiang Zhu, Fei Wen, Hongjie Wang:
A note on the vertex-distinguishing proper total coloring of graphs. Ars Comb. 96 (2010)
[c2]Shitang Bao, Zhiwen Wang, Fei Wen:
Vertex Distinguishing Total Coloring of Ladder Graphs. ISIA 2010: 118-124
2000 – 2009
- 2009
[c1]Jingwen Li, Zhongfu Zhang, Enqiang Zhu, Wenhui Xu, Fei Wen, Lin Li, Ji Zhang:
Adjacent Vertex Reducible Edge-Total Coloring of Graphs. BMEI 2009: 1-3
Coauthor Index

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last updated on 2025-12-08 11:07 CET by the dblp team
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