default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDQ. M. Jonathan Wu
Jonathan Wu 0001 – Qingming Jonathan Wu
Person information
- affiliation: University of Windsor, Department of Electrical and Computer Engineering, ON, Canada
- affiliation: National Research Council of Canada, Ottawa, ON, Canada
- affiliation (PhD 1990): University of Wales, Swansea, UK
Other persons with the same name
- Jonathan Wu — disambiguation page
- Jon Wu (aka: Jonathan Wu 0002) — Amazon Web Services, Seattle, WA, USA (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j291]Mahnoosh Torabi
, Amir Hosein Rasouli, Q. M. Jonathan Wu, Weipeng Cao, Farhad Pourpanah:
Self-supervised adversarial adaptation network for breast cancer detection. Eng. Appl. Artif. Intell. 133: 108489 (2024)- [j290]Qing Liu, Min Liu, Q. M. Jonathan Wu, Weiming Shen:
A real-time anchor-free defect detector with global and local feature enhancement for surface defect detection. Expert Syst. Appl. 246: 123199 (2024) - [j289]Mengting Ye, Zhenxue Chen, Yixin Guo, Kaili Yu, Longcheng Liu, Q. M. Jonathan Wu:
BNDCNet: Bilateral nonlocal decoupled convergence network for semantic segmentation. J. Vis. Commun. Image Represent. 98: 104028 (2024) - [j288]Hanxiao Zhai, Zhenxue Chen, Chengyun Liu, Huibin Bai, Q. M. Jonathan Wu:
Category-based depth incorporation for salient object ranking. J. Vis. Commun. Image Represent. 101: 104165 (2024) - [j287]Tian Liang, Zhenxue Chen, Chengyun Liu, Jiyang Chen, Yuchen Hu, Q. M. Jonathan Wu:
AdaptiveGait: adaptive feature fusion network for gait recognition. Multim. Tools Appl. 83(35): 83357-83376 (2024) - [j286]Yi Cao, Zhili Zhou, Chinmay Chakraborty, Meimin Wang, Q. M. Jonathan Wu, Xingming Sun, Keping Yu:
Generative Steganography Based on Long Readable Text Generation. IEEE Trans. Comput. Soc. Syst. 11(4): 4584-4594 (2024) - [j285]Kunqian Li, Hongtao Fan, Qi Qi, Chi Yan, Kun Sun, Q. M. Jonathan Wu:
TCTL-Net: Template-Free Color Transfer Learning for Self-Attention Driven Underwater Image Enhancement. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4682-4697 (2024) - [j284]Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu:
An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 814-827 (2024) - [j283]Yurong Chen, Hui Zhang, Yaonan Wang, Yimin Yang, Q. M. Jonathan Wu:
Flex-DLD: Deep Low-Rank Decomposition Model With Flexible Priors for Hyperspectral Image Denoising and Restoration. IEEE Trans. Image Process. 33: 1211-1226 (2024) - [j282]Arash Rocky, Qingming Jonathan Wu, Wandong Zhang:
Review of Accident Detection Methods Using Dashcam Videos for Autonomous Driving Vehicles. IEEE Trans. Intell. Transp. Syst. 25(8): 8356-8374 (2024) - [j281]Qi Cui, Zhili Zhou, Ruohan Meng, Shaowei Wang, Hongyang Yan, Q. M. Jonathan Wu:
ARES: On Adversarial Robustness Enhancement for Image Steganographic Cost Learning. IEEE Trans. Multim. 26: 6542-6553 (2024) - [j280]Wandong Zhang, Yimin Yang, Zeng Li, Q. M. Jonathan Wu:
Progressive Learning Model for Big Data Analysis Using Subnetwork and Moore-Penrose Inverse. IEEE Trans. Multim. 26: 8104-8118 (2024) - [j279]Li Dong, Haijun Zhang, Jianghong Ma, Xiaofei Xu, Yimin Yang, Q. M. Jonathan Wu:
CLRNet: A Cross Locality Relation Network for Crowd Counting in Videos. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6408-6422 (2024) - [j278]Wandong Zhang, Yimin Yang, Q. M. Jonathan Wu, Tianlei Wang, Hui Zhang:
Multimodal Moore-Penrose Inverse-Based Recomputation Framework for Big Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6570-6582 (2024) - [j277]Jiayuan Wang, Q. M. Jonathan Wu, Ning Zhang:
You Only Look at Once for Real-Time and Generic Multi-Task. IEEE Trans. Veh. Technol. 73(9): 12625-12637 (2024) - [i20]Salim Rezvani, Farhad Pourpanah, Chee Peng Lim, Q. M. Jonathan Wu:
Methods for Class-Imbalanced Learning with Support Vector Machines: A Review and an Empirical Evaluation. CoRR abs/2406.03398 (2024) - [i19]Shuaixin Liu, Kunqian Li, Yilin Ding, Kuangwei Xu, Qianli Jiang, Q. M. Jonathan Wu, Dalei Song:
Towards the in-situ Trunk Identification and Length Measurement of Sea Cucumbers via Bézier Curve Modelling. CoRR abs/2406.13951 (2024) - [i18]Ali Abedi, Q. M. Jonathan Wu, Ning Zhang, Farhad Pourpanah:
EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer. CoRR abs/2407.21311 (2024) - 2023
- [j276]Chengsheng Yuan, Qianyue Zhang, Sheng Wu, Q. M. Jonathan Wu:
Chapter Four - A realtime fingerprint liveness detection method for fingerprint authentication systems. Advances in Computers 131: 149-180 (2023) - [j275]Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah:
DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data. Comput. Medical Imaging Graph. 108: 102249 (2023) - [j274]Bin Li, Yibing Li, Q. M. Jonathan Wu:
A completed parted region local neighborhood energy pattern for texture classification. Digit. Signal Process. 137: 104031 (2023) - [j273]Kunru Zhong, Zhenxue Chen, Chengyun Liu, Q. M. Jonathan Wu, Shuchao Duan:
Unsupervised self-attention lightweight photo-to-sketch synthesis with feature maps. J. Vis. Commun. Image Represent. 90: 103747 (2023) - [j272]Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah:
An attentive-based generative model for medical image synthesis. Int. J. Mach. Learn. Cybern. 14(11): 3897-3910 (2023) - [j271]Liming Zou, Jiande Sun, Wenbo Wan, Jing Li, Q. M. Jonathan Wu:
A cover selection-based reversible data hiding method by learning cross-modal hashing. Multim. Tools Appl. 82(2): 2983-3005 (2023) - [j270]Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Q. M. Jonathan Wu:
A Review of Generalized Zero-Shot Learning Methods. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4051-4070 (2023) - [j269]Yurong Chen, Hui Zhang, Yaonan Wang, Weixing Peng, Wangdong Zhang, Q. M. Jonathan Wu, Yimin Yang:
D-BIN: A Generalized Disentangling Batch Instance Normalization for Domain Adaptation. IEEE Trans. Cybern. 53(4): 2151-2163 (2023) - [j268]Wandong Zhang, Q. M. Jonathan Wu, W. G. Will Zhao, Haojin Deng, Yimin Yang:
Hierarchical One-Class Model With Subnetwork for Representation Learning and Outlier Detection. IEEE Trans. Cybern. 53(10): 6303-6316 (2023) - [j267]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang:
Semisupervised Manifold Regularization via a Subnetwork-Based Representation Learning Model. IEEE Trans. Cybern. 53(11): 6923-6936 (2023) - [j266]Zhili Zhou, Yuecheng Su, Jin Li, Keping Yu, Q. M. Jonathan Wu, Zhangjie Fu, Yunqing Shi:
Secret-to-Image Reversible Transformation for Generative Steganography. IEEE Trans. Dependable Secur. Comput. 20(5): 4118-4134 (2023) - [j265]Cheng Wang, Ling Zhang, Jiong Niu, Gangsheng Li, Q. M. Jonathan Wu:
Accurate Direction Finding for Shipborne HFSWR Through Platform Motion Compensation. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j264]Wandong Zhang, Yimin Yang, Tianlong Liu, Q. M. Jonathan Wu:
A Two-Stage Hierarchical One-Class Classification Structure for HFSWR Ship-Target Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j263]Zhili Zhou, Chun Ding, Jin Li, Eman Mohammadi, Guangcan Liu, Yimin Yang, Q. M. Jonathan Wu:
Sequential Order-Aware Coding-Based Robust Subspace Clustering for Human Action Recognition in Untrimmed Videos. IEEE Trans. Image Process. 32: 13-28 (2023) - [j262]Liming Zou, Jing Li, Wenbo Wan, Q. M. Jonathan Wu, Jiande Sun:
Robust Coverless Image Steganography Based on Neglected Coverless Image Dataset Construction. IEEE Trans. Multim. 25: 5552-5564 (2023) - [j261]Kai Yang, Haijun Zhang, Feng Gao, Jianyang Shi, Yanfeng Zhang, Q. M. Jonathan Wu:
DETA: A Point-Based Tracker With Deformable Transformer and Task-Aligned Learning. IEEE Trans. Multim. 25: 7545-7558 (2023) - [j260]Hui Zhang, Junkun Tang, Yihong Cao, Yurong Chen, Yaonan Wang, Q. M. Jonathan Wu:
Cycle Consistency Based Pseudo Label and Fine Alignment for Unsupervised Domain Adaptation. IEEE Trans. Multim. 25: 8051-8063 (2023) - [j259]Bin Li, Yibing Li, Q. M. Jonathan Wu:
A multi-scale threshold integration encoding strategy for texture classification. Vis. Comput. 39(11): 5747-5761 (2023) - [i17]Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu:
An Ensemble Semi-Supervised Adaptive Resonance Theory Model with Explanation Capability for Pattern Classification. CoRR abs/2305.14373 (2023) - [i16]Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah:
An Attentive-based Generative Model for Medical Image Synthesis. CoRR abs/2306.01562 (2023) - [i15]Jiayuan Wang, Q. M. Jonathan Wu, Ning Zhang:
You Only Look at Once for Real-time and Generic Multi-Task. CoRR abs/2310.01641 (2023) - 2022
- [j258]Jiaolv Wu, Q. M. Jonathan Wu, Shuyue Chen, Farhad Pourpanah, Detian Huang:
A-TD3: An Adaptive Asynchronous Twin Delayed Deep Deterministic for Continuous Action Spaces. IEEE Access 10: 128077-128089 (2022) - [j257]Bo Xiao, Q. M. Jonathan Wu, Liping Yan:
Multisensor fusion estimation of nonlinear systems with intermittent observations and heavy-tailed noises. Sci. China Inf. Sci. 65(9): 1-18 (2022) - [j256]Hua Yang, Fei Tian, Qi Qi, Q. M. Jonathan Wu, Kunqian Li:
Underwater image enhancement with latent consistency learning-based color transfer. IET Image Process. 16(6): 1594-1612 (2022) - [j255]Md Shakil Ahamed Shohag, Xiuyang Zhao, Q. M. Jonathan Wu, Farhad Pourpanah:
Cross-graph reference structure based pruning and edge context information for graph matching. Inf. Sci. 616: 1-15 (2022) - [j254]Chengsheng Yuan, Peipeng Yu, Zhihua Xia, Xingming Sun, Q. M. Jonathan Wu:
FLD-SRC: Fingerprint Liveness Detection for AFIS Based on Spatial Ridges Continuity. IEEE J. Sel. Top. Signal Process. 16(4): 817-827 (2022) - [j253]Ling Zhang, Chenlu Shi, Jiong Niu, Yonggang Ji, Q. M. Jonathan Wu:
DOA Estimation for HFSWR Target Based on PSO-ELM. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j252]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, W. G. Will Zhao, Qingzhong Li, Jiong Niu:
Fast Ship Detection With Spatial-Frequency Analysis and ANOVA-Based Feature Fusion. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j251]Jie Zhao, Zhenxue Chen, Q. M. Jonathan Wu, Xianming Li, Lei Cai, Kai Zhu:
Improved edge-guided network for single image super-resolution. Multim. Tools Appl. 81(1): 343-365 (2022) - [j250]Maorong Chen, Jiong Niu, Ming Li, Ling Zhang, Yonggang Ji, Wenxiang Wan, Q. M. Jonathan Wu:
A Motion Compensation Method for Shipborne HFSWR by Using Dual Reference RF Signals Generated Onshore. Remote. Sens. 14(5): 1055 (2022) - [j249]Chengsheng Yuan, Shengming Jiao, Xingming Sun, Q. M. Jonathan Wu:
MFFFLD: A Multimodal-Feature-Fusion-Based Fingerprint Liveness Detection. IEEE Trans. Cogn. Dev. Syst. 14(2): 648-661 (2022) - [j248]Qi Qi, Yongchang Zhang, Fei Tian, Q. M. Jonathan Wu, Kunqian Li, Xin Luan, Dalei Song:
Underwater Image Co-Enhancement With Correlation Feature Matching and Joint Learning. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1133-1147 (2022) - [j247]Hao Qin, Zhenxue Chen, Qingqiang Guo, Q. M. Jonathan Wu, Mengxu Lu:
RPNet: Gait Recognition With Relationships Between Each Body-Parts. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2990-3000 (2022) - [j246]Jing Huang, Zhenxue Chen, Q. M. Jonathan Wu, Chengyun Liu, Hui Yuan, Weikai He:
CATFPN: Adaptive Feature Pyramid With Scale-Wise Concatenation and Self-Attention. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8142-8152 (2022) - [j245]Wei Wu, Wei Sun, Q. M. Jonathan Wu, Yimin Yang, Hui Zhang, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Vigilance Estimation Using Deep Learning. IEEE Trans. Cybern. 52(5): 3097-3110 (2022) - [j244]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, Ming Li:
HKPM: A Hierarchical Key-Area Perception Model for HFSWR Maritime Surveillance. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j243]Hui Zhang, Zhicong Liang, Chen Li, Hang Zhong, Li Liu, Chenyang Zhao, Yaonan Wang, Q. M. Jonathan Wu:
A Practical Robotic Grasping Method by Using 6-D Pose Estimation With Protective Correction. IEEE Trans. Ind. Electron. 69(4): 3876-3886 (2022) - [j242]Hui Zhang, Ruibo Chen, Chen Li, Yurong Chen, Yaonan Wang, Q. M. Jonathan Wu:
Selective Multibranch Attention Network With Material Constraint for Baggage Reidentification. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j241]Yurong Chen, Hui Zhang, Yaonan Wang, Lizhu Liu, Q. M. Jonathan Wu, Yimin Yang:
TAE-Seg: Generalized Lung Segmentation via Tilewise AutoEncoder Enhanced Network. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j240]Hui Zhang, Liuchen Wu, Yurong Chen, Ruibo Chen, Senlin Kong, Yaonan Wang, Jianwen Hu, Jonathan Wu:
Attention-Guided Multitask Convolutional Neural Network for Power Line Parts Detection. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j239]Mengxu Lu, Zhenxue Chen, Q. M. Jonathan Wu, Nannan Wang, Xuewen Rong, Xinghe Yan:
FRNet: Factorized and Regular Blocks Network for Semantic Segmentation in Road Scene. IEEE Trans. Intell. Transp. Syst. 23(4): 3522-3530 (2022) - [j238]Hui Zhang, Yanan Song, Yurong Chen, Hang Zhong, Li Liu, Yaonan Wang, Thangarajah Akilan, Q. M. Jonathan Wu:
MRSDI-CNN: Multi-Model Rail Surface Defect Inspection System Based on Convolutional Neural Networks. IEEE Trans. Intell. Transp. Syst. 23(8): 11162-11177 (2022) - [j237]Ruohan Meng, Qi Cui, Zhili Zhou, Zhetao Li, Q. M. Jonathan Wu, Xingming Sun:
High-Capacity Steganography Using Object Addition-Based Cover Enhancement for Secure Communication in Networks. IEEE Trans. Netw. Sci. Eng. 9(2): 848-862 (2022) - [j236]Liping Yan, Chenying Di, Q. M. Jonathan Wu, Yuanqing Xia:
Sequential Fusion for Multirate Multisensor Systems With Heavy-Tailed Noises and Unreliable Measurements. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 523-532 (2022) - [c146]Wandong Zhang, Q. M. Jonathan Wu, Jiayuan Wang, Zeng Li:
A Novel Method Based on Spatio-Frequency Analysis for HFSWR Ship Detection. ICSM 2022: 453-461 - [i14]Wenyan Pan, Zhili Zhou, Miaogen Ling, Xin Geng, Q. M. Jonathan Wu:
Learning Hierarchical Graph Representation for Image Manipulation Detection. CoRR abs/2201.05730 (2022) - [i13]Zhili Zhou, Yuecheng Su, Q. M. Jonathan Wu, Zhangjie Fu, Yunqing Shi:
Secret-to-Image Reversible Transformation for Generative Steganography. CoRR abs/2203.06598 (2022) - [i12]Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah:
DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data. CoRR abs/2211.01293 (2022) - [i11]Wenyan Pan, Zhili Zhou, Guangcan Liu, Teng Huang, Hongyang Yan, Q. M. Jonathan Wu:
Auto-Focus Contrastive Learning for Image Manipulation Detection. CoRR abs/2211.10922 (2022) - 2021
- [j235]Chengsheng Yuan, Qi Cui, Xingming Sun, Q. M. Jonathan Wu, Sheng Wu:
Chapter Five - Fingerprint liveness detection using an improved CNN with the spatial pyramid pooling structure. Adv. Comput. 120: 157-193 (2021) - [j234]Xiaochun Xu, Yibing Li, Q. M. Jonathan Wu:
A compact multi-pattern encoding descriptor for texture classification. Digit. Signal Process. 114: 103081 (2021) - [j233]Zhili Zhou, Meimin Wang, Ching-Nung Yang, Zhangjie Fu, Xingming Sun, Q. M. Jonathan Wu:
Blockchain-based decentralized reputation system in E-commerce environment. Future Gener. Comput. Syst. 124: 155-167 (2021) - [j232]Zhili Zhou, Wenyan Pan, Q. M. Jonathan Wu, Ching-Nung Yang, Zhihan Lv:
Geometric rectification-based neural network architecture for image manipulation detection. Int. J. Intell. Syst. 36(12): 6993-7016 (2021) - [j231]Haixia Wang, Yehao Sun, Q. M. Jonathan Wu, Xiao Lu, Xiuling Wang, Zhiguo Zhang:
Self-supervised monocular depth estimation with direct methods. Neurocomputing 421: 340-348 (2021) - [j230]Kunqian Li, Duo Shi, Yongchang Zhang, Q. M. Jonathan Wu, Xin Luan, Dalei Song:
CascNet: No-reference saliency quality assessment with cascaded applicability sorting and comparing network. Neurocomputing 425: 231-242 (2021) - [j229]Xiexing Feng, Q. M. Jonathan Wu, Yimin Yang, Libo Cao:
A compensation-based optimization strategy for top dense layer training. Neurocomputing 453: 563-578 (2021) - [j228]Heshan Wang, Q. M. Jonathan Wu, Dongshu Wang, Jianbin Xin, Yimin Yang, Kunjie Yu:
Echo state network with a global reversible autoencoder for time series classification. Inf. Sci. 570: 744-768 (2021) - [j227]Kai Zhu, Zhenxue Chen, Q. M. Jonathan Wu, Nannan Wang, Jie Zhao, Gan Zhang:
FSFN: feature separation and fusion network for single image super-resolution. Multim. Tools Appl. 80(21): 31599-31618 (2021) - [j226]Xinghe Yan, Zhenxue Chen, Q. M. Jonathan Wu, Mengxu Lu, Luna Sun:
3MNet: Multi-task, multi-level and multi-channel feature aggregation network for salient object detection. Mach. Vis. Appl. 32(2): 45 (2021) - [j225]Abdul Muntakim Rafi, Thamidul Islam Tonmoy, Uday Kamal, Q. M. Jonathan Wu, Md. Kamrul Hasan:
RemNet: remnant convolutional neural network for camera model identification. Neural Comput. Appl. 33(8): 3655-3670 (2021) - [j224]Adhri Nandini Paul, Peizhi Yan, Yimin Yang, Hui Zhang, Shan Du, Q. M. Jonathan Wu:
Non-iterative online sequential learning strategy for autoencoder and classifier. Neural Comput. Appl. 33(23): 16345-16361 (2021) - [j223]Ling Zhang, Jingzhi Zhang, Jiong Niu, Q. M. Jonathan Wu, Gangsheng Li:
Track Prediction for HF Radar Vessels Submerged in Strong Clutter Based on MSCNN Fusion with GRU-AM and AR Model. Remote. Sens. 13(11): 2164 (2021) - [j222]Maokai Wu, Ling Zhang, Jiong Niu, Q. M. Jonathan Wu:
Target Detection in Clutter/Interference Regions Based on Deep Feature Fusion for HFSWR. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5581-5595 (2021) - [j221]Wei Wu, Q. M. Jonathan Wu, Wei Sun, Yimin Yang, Xiaofang Yuan, Wei-Long Zheng, Bao-Liang Lu:
A Regression Method With Subnetwork Neurons for Vigilance Estimation Using EOG and EEG. IEEE Trans. Cogn. Dev. Syst. 13(1): 209-222 (2021) - [j220]Wei Wu, Wei Sun, Q. M. Jonathan Wu, Cheng Zhang, Yimin Yang, Hongshan Yu, Bao-Liang Lu:
Faster Single Model Vigilance Detection Based on Deep Learning. IEEE Trans. Cogn. Dev. Syst. 13(3): 621-630 (2021) - [j219]Zhili Zhou, Q. M. Jonathan Wu, Xingming Sun:
Multiple Distance-Based Coding: Toward Scalable Feature Matching for Large-Scale Web Image Search. IEEE Trans. Big Data 7(3): 559-573 (2021) - [j218]Luna Sun, Zhenxue Chen, Q. M. Jonathan Wu, Hongjian Zhao, Weikai He, Xinghe Yan:
AMPNet: Average- and Max-Pool Networks for Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4321-4333 (2021) - [j217]Tayssir Bouraffa, Liping Yan, Zihang Feng, Bo Xiao, Q. M. Jonathan Wu, Yuanqing Xia:
Context-Aware Correlation Filter Learning Toward Peak Strength for Visual Tracking. IEEE Trans. Cybern. 51(10): 5105-5115 (2021) - [j216]Kaixian Yang, Ling Zhang, Jiong Niu, Yonggang Ji, Q. M. Jonathan Wu:
Analysis and Estimation of Shipborne HFSWR Target Parameters Under the Influence of Platform Motion. IEEE Trans. Geosci. Remote. Sens. 59(6): 4703-4716 (2021) - [j215]Shuchao Duan, Zhenxue Chen, Q. M. Jonathan Wu, Lei Cai, Dan Lu:
Multi-Scale Gradients Self-Attention Residual Learning for Face Photo-Sketch Transformation. IEEE Trans. Inf. Forensics Secur. 16: 1218-1230 (2021) - [j214]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, Hui Zhang:
A Width-Growth Model With Subnetwork Nodes and Refinement Structure for Representation Learning and Image Classification. IEEE Trans. Ind. Informatics 17(3): 1562-1572 (2021) - [j213]Yurong Chen, Hui Zhang, Yaonan Wang, Yimin Yang, Xianen Zhou, Q. M. Jonathan Wu:
MAMA Net: Multi-Scale Attention Memory Autoencoder Network for Anomaly Detection. IEEE Trans. Medical Imaging 40(3): 1032-1041 (2021) - [j212]Yuzhu Ji, Haijun Zhang, Zequn Jie, Lin Ma, Q. M. Jonathan Wu:
CASNet: A Cross-Attention Siamese Network for Video Salient Object Detection. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2676-2690 (2021) - [j211]Tianlei Wang, Jiuwen Cao, Xiaoping Lai, Q. M. Jonathan Wu:
Hierarchical One-Class Classifier With Within-Class Scatter-Based Autoencoders. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3770-3776 (2021) - [j210]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan:
Multimodel Feature Reinforcement Framework Using Moore-Penrose Inverse for Big Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5008-5021 (2021) - [j209]Amit Kumar Singh, Q. M. Jonathan Wu, Ali Al-Haj, Calton Pu:
Introduction to the Special Section on Security and Privacy of Medical Data for Smart Healthcare. ACM Trans. Internet Techn. 21(3): 53:1-53:4 (2021) - [i10]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, W. G. Will Zhao, Hui Zhang:
Multi-Model Least Squares-Based Recomputation Framework for Large Data Analysis. CoRR abs/2101.01271 (2021) - [i9]Yimin Yang, Wandong Zhang, Q. M. Jonathan Wu, W. G. Will Zhao, Ao Chen:
Deconvolution-and-convolution Networks. CoRR abs/2103.11887 (2021) - 2020
- [j208]Ling Zhang, Qingfeng Li, Q. M. Jonathan Wu:
Target Detection for HFSWR Based on an S3D Algorithm. IEEE Access 8: 224825-224836 (2020) - [j207]Xiaochun Xu, Yibing Li, Q. M. Jonathan Wu:
A completed local shrinkage pattern for texture classification. Appl. Soft Comput. 97(Part B): 106830 (2020) - [j206]Liping Yan, Chenying Di, Q. M. Jonathan Wu, Yuanqing Xia:
Sequential fusion estimation for multisensor systems with non-Gaussian noises. Sci. China Inf. Sci. 63(12) (2020) - [j205]Xiaochun Xu, Yibing Li, Q. M. Jonathan Wu:
A Multiscale Hierarchical Threshold-Based Completed Local Entropy Binary Pattern for Texture Classification. Cogn. Comput. 12(1): 224-237 (2020) - [j204]Yi Cao, Zhili Zhou, Q. M. Jonathan Wu, Chengsheng Yuan, Xingming Sun:
Coverless information hiding based on the generation of anime characters. EURASIP J. Image Video Process. 2020(1): 36 (2020) - [j203]Haijun Zhang, Han Guo, Xinghao Wang, Yuzhu Ji, Q. M. Jonathan Wu:
Clothescounter: A framework for star-oriented clothes mining from videos. Neurocomputing 377: 38-48 (2020) - [j202]Xiexing Feng, Q. M. Jonathan Wu, Yimin Yang, Libo Cao:
An Autuencoder-based Data Augmentation Strategy for Generalization Improvement of DCNNs. Neurocomputing 402: 283-297 (2020) - [j201]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang:
Wi-HSNN: A subnetwork-based encoding structure for dimension reduction and food classification via harnessing multi-CNN model high-level features. Neurocomputing 414: 57-66 (2020) - [j200]Chengsheng Yuan, Xianyi Chen, Peipeng Yu, Ruohan Meng, Weijin Cheng, Q. M. Jonathan Wu, Xingming Sun:
Semi-supervised stacked autoencoder-based deep hierarchical semantic feature for real-time fingerprint liveness detection. J. Real Time Image Process. 17(1): 55-71 (2020) - [j199]Heshan Wang, Q. M. Jonathan Wu, Jianbin Xin, Jie Wang, Heng Zhang:
Optimizing Deep Belief Echo State Network with a Sensitivity Analysis Input Scaling Auto-Encoder algorithm. Knowl. Based Syst. 191: 105257 (2020) - [j198]Yanchun Wang, Zhenxue Chen, Q. M. Jonathan Wu, Xuewen Rong:
Deep mutual learning network for gait recognition. Multim. Tools Appl. 79(31-32): 22653-22672 (2020) - [j197]Mengxue Wang, Zhenxue Chen, Q. M. Jonathan Wu, Muwei Jian:
Improved face super-resolution generative adversarial networks. Mach. Vis. Appl. 31(4): 22 (2020) - [j196]Zhaoqing Li, Zhenxue Chen, Q. M. Jonathan Wu, Chengyun Liu:
Pedestrian detection via deep segmentation and context network. Neural Comput. Appl. 32(10): 5845-5857 (2020) - [j195]