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ORCIDFangfang Wu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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.
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2020 – today
- 2024
[j32]Sanshuang Jin, Yunkun Zhao, Ruizhe Wu, Fangfang Wu, Tianyu Zhou, Baogen Sun, Jigang Wang:
Two-Dimensional Visible Synchrotron Radiation Interferometry for Measuring Transverse Beam-Profile at HLS-II. IEEE Instrum. Meas. Mag. 27(1): 37-42 (2024)- [j31]Fangfang Wu
, Hajo Broersma, Shenggui Zhang, Binlong Li:
Properly colored and rainbow C 4 ${C}_{4}$ 's in edge-colored graphs. J. Graph Theory 105(1): 110-135 (2024) - [j30]Li Li, Shuaikun Gao, Fangfang Wu, Xin An:
MBAN: multi-branch attention network for small object detection. PeerJ Comput. Sci. 10: e1965 (2024) - [j29]Le Dong, Yige Mo, Hao Sun, Fangfang Wu, Weisheng Dong:
Memory Augmentation and Non-Local Spectral Attention for Hyperspectral Denoising. Remote. Sens. 16(11): 1937 (2024) - [j28]Lu Sun, Fangfang Wu, Wei Ding, Xin Li, Jie Lin, Weisheng Dong, Guangming Shi:
Multi-Scale Spatio-Temporal Memory Network for Lightweight Video Denoising. IEEE Trans. Image Process. 33: 5810-5823 (2024) - 2023
- [j27]Fangfang Wu, Chuangui Lu, Yingying Wang, Na Hu:
Lattice Boltzmann Model for a Class of Time Fractional Partial Differential Equation. Axioms 12(10): 959 (2023) - [j26]Fangfang Wu, Shenggui Zhang, Binlong Li, Jimeng Xiao:
Anti-Ramsey numbers for vertex-disjoint triangles. Discret. Math. 346(1): 113123 (2023) - [j25]Fangfang Wu, Xiandong Zhang, Bo Chen:
An improved approximation algorithm for scheduling monotonic moldable tasks. Eur. J. Oper. Res. 306(2): 567-578 (2023) - [j24]Chaohua Wang, Weisheng Dong, Xin Li, Fangfang Wu, Jinjian Wu, Guangming Shi:
Memory Based Temporal Fusion Network for Video Deblurring. Int. J. Comput. Vis. 131(7): 1840-1856 (2023) - [j23]Fangfang Wu, Zhongyi Jiang, Run Zhang, Xiandong Zhang:
Approximation algorithms for scheduling monotonic moldable tasks on multiple platforms. J. Sched. 26(4): 383-398 (2023) - [j22]Tianyu Huang, Weisheng Dong, Fangfang Wu, Xin Li, Guangming Shi:
Uncertainty-Driven Knowledge Distillation for Language Model Compression. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2850-2858 (2023) - [j21]Lu Sun, Yichen Wang, Fangfang Wu, Xin Li, Weisheng Dong, Guangming Shi:
Deep Unfolding Network for Efficient Mixed Video Noise Removal. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4715-4727 (2023) - [j20]Junwei Xu, Fangfang Wu, Xin Li, Weisheng Dong, Tao Huang, Guangming Shi:
Spatially Varying Prior Learning for Blind Hyperspectral Image Fusion. IEEE Trans. Image Process. 32: 4416-4431 (2023) - [c22]Zhenxuan Fang, Fangfang Wu, Weisheng Dong, Xin Li, Jinjian Wu, Guangming Shi:
Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring. CVPR 2023: 18105-18114 - [c21]Yunlong Liu, Tao Huang, Weisheng Dong, Fangfang Wu, Xin Li, Guangming Shi:
Low-Light Image Enhancement with Multi-stage Residue Quantization and Brightness-aware Attention. ICCV 2023: 12106-12115 - [c20]Qian Ning, Fangfang Wu, Weisheng Dong, Xin Li, Guangming Shi:
Exploring Correlations in Degraded Spatial Identity Features for Blind Face Restoration. ACM Multimedia 2023: 37-45 - 2022
- [j19]Fangfang Wu, Shenggui Zhang, Binlong Li, Tingting Han:
Color neighborhood union conditions for proper edge-pancyclicity of edge-colored complete graphs. Discret. Appl. Math. 307: 145-152 (2022) - [j18]Yunkun Zhao, Sanshuang Jin, Fangfang Wu, Tianyu Zhou, Ping Lu, Jigang Wang, Baogen Sun:
Estimations of Longitudinal Impedances Based on Temporal Beam Characteristic Parameter Extraction Method in Storage Ring Light Source. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [c19]Liqun Qian, Qiuwei Zheng, Chengbin He, Weishuo Zheng, Fangfang Wu, Ting Liu:
Simulation Study on Influencing Factors of Electrical Preventive Test of Insulation Tools. EEET 2022: 98-103 - [c18]Qian Ning, Jingzhu Tang, Fangfang Wu, Weisheng Dong, Xin Li, Guangming Shi:
Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution. IJCAI 2022: 1261-1267 - [c17]Qian Ning, Fangfang Wu, Weisheng Dong, Jinjian Wu, Guangming Shi, Xin Li:
Robust Dynamic Background Modeling for Foreground Estimation. VCIP 2022: 1-5 - 2021
- [j17]Wei Li, Quan Xu, Yinbo Li, Chong Li, Fangfang Wu, Linhong Ji:
EEG characteristics in "eyes-open" versus "eyes-closed" condition during vibrotactile stimulation. Biomed. Signal Process. Control. 68: 102759 (2021) - [j16]Jie Zhang, Yunxu Shi, Chienkai Wang, Chunmei Cao, Changshui Zhang, Linhong Ji, Jia Cheng, Fangfang Wu:
Preshooting Electroencephalographic Activity of Professional Shooters in a Competitive State. Comput. Intell. Neurosci. 2021: 6639865:1-6639865:9 (2021) - [j15]Fangfang Wu, Tao Huang, Weisheng Dong, Guangming Shi, Zhonglong Zheng, Xin Li:
Toward blind joint demosaicing and denoising of raw color filter array data. Neurocomputing 453: 369-382 (2021) - [j14]Fangfang Wu, Peng Yuan, Guangming Shi, Xin Li, Weisheng Dong, Jinjian Wu:
Robust subspace clustering network with dual-domain regularization. Pattern Recognit. Lett. 149: 44-50 (2021) - [j13]Zhiyi Fu, Fangfang Wu, Zhengliang Zhang, Linshu Hu, Feng Zhang, Bifeng Hu, Zhenhong Du, Zhou Shi, Renyi Liu:
Sea Surface Salinity Estimation and Spatial-Temporal Heterogeneity Analysis in the Gulf of Mexico. Remote. Sens. 13(5): 881 (2021) - [j12]Fangfang Wu, Weisheng Dong, Tao Huang, Guangming Shi, Shaoyuan Cheng, Xin Li:
Hybrid sparsity learning for image restoration: An iterative and trainable approach. Signal Process. 178: 107751 (2021) - [j11]Weisheng Dong, Chen Zhou, Fangfang Wu, Jinjian Wu, Guangming Shi, Xin Li:
Model-Guided Deep Hyperspectral Image Super-Resolution. IEEE Trans. Image Process. 30: 5754-5768 (2021) - [c16]Liping Zhu, Fangfang Wu, Pei Yang, Jixun Yan, Li Ma:
Formal Modeling and Correctness Proof of Spatial Partition Algorithm. CSDM Asia / CSDM 2021: 479 - 2020
- [j10]Qi Zhang, Haiming Song, Chengbo Yang, Fangfang Wu:
An efficient numerical method for the valuation of American multi-asset options. Comput. Appl. Math. 39(3) (2020) - [j9]Fangfang Wu, Shenggui Zhang, Binlong Li:
Sub-Ramsey Numbers for Matchings. Graphs Comb. 36(6): 1675-1685 (2020) - [j8]Tao Huang, Weisheng Dong, Jinshan Liu, Fangfang Wu, Guangming Shi, Xin Li:
Accelerating Convolutional Neural Network via Structured Gaussian Scale Mixture Models: A Joint Grouping and Pruning Approach. IEEE J. Sel. Top. Signal Process. 14(4): 817-827 (2020) - [j7]Shichao Jin, Yanjun Su, Shang Gao, Fangfang Wu, Qin Ma, Kexin Xu, Qin Ma, Tianyu Hu, Jin Liu, Shuxin Pang, Hongcan Guan, Jing Zhang, Qinghua Guo:
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 58(4): 2644-2658 (2020) - [c15]Qian Ning, Weisheng Dong, Fangfang Wu, Jinjian Wu, Jie Lin, Guangming Shi:
Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation. AAAI 2020: 11791-11798
2010 – 2019
- 2019
- [j6]Xiaotong Lu, Heng Wang, Weisheng Dong, Fangfang Wu, Zhonglong Zheng, Guangming Shi:
Learning a Deep Vector Quantization Network for Image Compression. IEEE Access 7: 118815-118825 (2019) - [j5]Chao Ni, Xiang Chen, Fangfang Wu, Yuxiang Shen, Qing Gu:
An empirical study on pareto based multi-objective feature selection for software defect prediction. J. Syst. Softw. 152: 215-238 (2019) - [j4]Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, Xiaotong Lu:
Denoising Prior Driven Deep Neural Network for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2305-2318 (2019) - [j3]Weisheng Dong, Huan Wang, Fangfang Wu, Guangming Shi, Xin Li:
Deep Spatial-Spectral Representation Learning for Hyperspectral Image Denoising. IEEE Trans. Computational Imaging 5(4): 635-648 (2019) - [j2]Shichao Jin, Yanjun Su, Fangfang Wu, Shuxin Pang, Shang Gao, Tianyu Hu, Jin Liu, Qinghua Guo:
Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 57(3): 1336-1346 (2019) - 2018
- [c14]Tao Huang, Fangfang Wu, Weisheng Dong, Guangming Shi, Xin Li:
Lightweight Deep Residue Learning for Joint Color Image Demosaicking and Denoising. ICPR 2018: 127-132 - [c13]Fangfang Wu, Yifan Li, Jianwen Han, Weisheng Dong, Guangming Shi:
Perceptual Image Dehazing Based on Generative Adversarial Learning. PCM (1) 2018: 877-887 - [i1]Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, Xiaotong Lu:
Denoising Prior Driven Deep Neural Network for Image Restoration. CoRR abs/1801.06756 (2018) - 2016
- [j1]Fang Liu, Weiping Shi, Fangfang Wu:
A lattice Boltzmann model for the generalized Boussinesq equation. Appl. Math. Comput. 274: 331-342 (2016)
2000 – 2009
- 2009
- [c12]Fangfang Wu, Guangming Shi, Weisheng Dong, Xiaolin Wu:
Learning-based recovery of compressive sensing with application in multiple description coding. MMSP 2009: 1-5 - 2007
- [c11]Yiyong Yang, Rencheng Wang, Ming Zhang, Dewen Jin, Fangfang Wu:
Redundant Muscular Force Analysis of Human Lower Limbs During Rising from a Squat. HCI (12) 2007: 259-267 - [c10]Yiyong Yang, Rencheng Wang, Ming Zhang, Dewen Jin, Fangfang Wu:
Optimal Control and Synergic Pattern Analysis of Upper Limb Reaching-Grasping Movements. HCI (12) 2007: 268-275 - [c9]Fangfang Wu, Rencheng Wang, Dewen Jin, Xiao Hu, Yiyong Yang, Jichuan Zhang, Noboru Youshimura:
Effect of Noise-Enhanced on the Balance Control Ability in Older Adults. HCI (12) 2007: 483-489 - [c8]Xiao Hu, Rencheng Wang, Fangfang Wu, Dewen Jin, Xiaohong Jia, Jichuan Zhang, Fuwen Cai, Shuangxi Zheng:
Finite Element Analysis of a Six-Component Force Sensor for the Trans-Femoral Prosthesis. HCI (12) 2007: 633-639 - [c7]Rencheng Wang, Yiyong Yang, Xiao Hu, Fangfang Wu, Dewen Jin, Xiaohong Jia, Fang Li, Jichuan Zhang:
A Hybrid AB-RBF Classifier for Surface Electromyography Classification. HCI (12) 2007: 727-735 - 2006
- [c6]Fangfang Wu, Yinliang Zhao:
Least Squares Support Vector Machine on Gaussian Wavelet Kernel Function Set. ISNN (1) 2006: 936-941 - 2005
- [c5]YongZhong Zhang, Yinliang Zhao, Fangfang Wu, ZengZhi Li:
The Minimization of QoS Deviation in Grid Environment. GCC 2005: 226-231 - [c4]Fangfang Wu, Yinliang Zhao, Zefei Jiang:
A Novel Parallel Reduced Support Vector Machine. ICNC (1) 2005: 608-618 - [c3]Fangfang Wu, Yinliang Zhao:
Least Squares Littlewood-Paley Wavelet Support Vector Machine. MICAI 2005: 462-472 - 2000
- [c2]Yuming Zeng, Yongcheng Wang, Fangfang Wu:
A Task Oriented Natural Language Understanding Model. ICMI 2000: 260-266 - [c1]Han Kesong, Yongcheng Wang, Fangfang Wu:
Research on extracting subject from Chinese text (poster session). IRAL 2000: 211-212
Coauthor Index
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