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Qiang Wu 0009
Person information
- affiliation: Shandong University, School of Information Science and Engineering, Jinan, China
- affiliation (PhD 2010): Shanghai Jiaotong University, China
Other persons with the same name
- Qiang Wu — disambiguation page
- Qiang Wu 0001 — University of Technology at Sydney, Faculty of Engineering and Information Technology, NSW, Australia
- Qiang Wu 0002 — University of Science and Technology of China, School of Management, Hefei, Anhui, China
- Qiang Wu 0003 — Middle Tennessee State University, Murfreesboro, TN, USA (and 3 more)
- Qiang Wu 0004 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
- Qiang Wu 0005 — Northumbria University, Department of Mathematics, Physics and Electrical Engineering, Newcastle Upon Tyne, UK
- Qiang Wu 0006 — McMaster University, Hamilton, ON, Canada
- Qiang Wu 0007 — Advanced Digital Imaging Research LLC, League City, TX, USA (and 1 more)
- Qiang Wu 0008 — Juniper Networks, Inc., Sunnyvale, CA, USA (and 1 more)
- Qiang Wu 0010 — University of Electronic Science and Technology of China, Chengdu, China (and 1 more)
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2020 – today
- 2024
- [j18]Aixi Qu, Qiang Wu, Luyue Yu, Jing Li, Ju Liu:
Class-Specific Thresholding for Imbalanced Semi-Supervised Learning. IEEE Signal Process. Lett. 31: 2375-2379 (2024) - [j17]Luyue Yu, Ju Liu, Qiang Wu, Jing Wang, Aixi Qu:
A Siamese-Transport Domain Adaptation Framework for 3D MRI Classification of Gliomas and Alzheimer's Diseases. IEEE J. Biomed. Health Informatics 28(1): 391-402 (2024) - [j16]Aixi Qu, Qiang Wu, Jing Wang, Luyue Yu, Jing Li, Ju Liu:
TNCB: Tri-Net With Cross-Balanced Pseudo Supervision for Class Imbalanced Medical Image Classification. IEEE J. Biomed. Health Informatics 28(4): 2187-2198 (2024) - [c23]Xuan Li, Fuyuan Yu, Jiachen Cui, Ju Liu, Qiang Wu:
Multimodal Imaging Classification Based on Mixture Model Networks. ICSI 2024: 233-244 - [c22]Aixi Qu, Qiang Wu, Luyue Yu, Ju Liu:
Confidence-Guided Online Knowledge Distillation for Semi-supervised Medical Image Classification. ICSI 2024: 245-257 - 2023
- [j15]Jing Wang, Aixi Qu, Qing Wang, Qibin Zhao, Ju Liu, Qiang Wu:
TT-Net: Tensorized Transformer Network for 3D medical image segmentation. Comput. Medical Imaging Graph. 107: 102234 (2023) - [j14]Jing Wang, Shuyi Li, Luyue Yu, Aixi Qu, Qing Wang, Ju Liu, Qiang Wu:
SDPN: A Slight Dual-Path Network With Local-Global Attention Guided for Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27(6): 2956-2967 (2023) - [c21]Jianye Liu, Haoran Li, Qiang Wu, Zihan Diao, Zhao Sun, Lina Zheng:
Major Depressive Disorder Detection based on Parallel Spatiotemporal Convolution Network. DMIP 2023: 12-17 - 2021
- [j13]Fengming Lin, Qiang Wu, Ju Liu, Dawei Wang, Xiangmao Kong:
Path aggregation U-Net model for brain tumor segmentation. Multim. Tools Appl. 80(15): 22951-22964 (2021) - [j12]Xiangjian Meng, Feng Gao, Tao Xu, Kangjia Zhou, Wei Li, Qiang Wu:
Inverter-Data-Driven Second-Level Power Forecasting for Photovoltaic Power Plant. IEEE Trans. Ind. Electron. 68(8): 7034-7044 (2021) - 2020
- [j11]Haifeng Qi, Jing Li, Qiang Wu, Wenbo Wan, Jiande Sun:
Hash length: a neglected element. Multim. Tools Appl. 79(7-8): 4763-4782 (2020) - [c20]Enshuai Pang, Wei Shi, Xuan Li, Qiang Wu:
Glioma Segmentation Using Encoder-Decoder Network and Survival Prediction Based on Cox Analysis. BrainLes@MICCAI (1) 2020: 318-326
2010 – 2019
- 2019
- [j10]Qiang Wu, Yu Zhang, Ju Liu, Jiande Sun, Andrzej Cichocki, Feng Gao:
Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface. Int. J. Neural Syst. 29(6): 1950002:1-1950002:15 (2019) - [c19]Wei Shi, Enshuai Pang, Qiang Wu, Fengming Lin:
Brain Tumor Segmentation Using Dense Channels 2D U-net and Multiple Feature Extraction Network. BrainLes@MICCAI (1) 2019: 273-283 - [c18]Fengming Lin, Ju Liu, Qiang Wu, Xiangmao Kong, Wali Ullah Khan, Wei Shi, Enshuai Pang:
FMNet: Feature Mining Networks for Brain Tumor Segmentation. ICTAI 2019: 555-560 - 2018
- [j9]Xiaowen Xu, Qiang Wu, Shuo Wang, Ju Liu, Jiande Sun, Andrzej Cichocki:
Whole Brain fMRI Pattern Analysis Based on Tensor Neural Network. IEEE Access 6: 29297-29305 (2018) - [c17]Longhao Yuan, Jianting Cao, Xuyang Zhao, Qiang Wu, Qibin Zhao:
Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition. APSIPA 2018: 1071-1076 - [c16]Xiangmao Kong, Guoxia Sun, Qiang Wu, Ju Liu, Fengming Lin:
Hybrid Pyramid U-Net Model for Brain Tumor Segmentation. Intelligent Information Processing 2018: 346-355 - [i1]Longhao Yuan, Jianting Cao, Qiang Wu, Qibin Zhao:
Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition. CoRR abs/1807.01589 (2018) - 2017
- [c15]Shuo Wang, Qiang Wu, Ju Liu:
Tensor optimal scoring for alzheimer's disease detection. ICNC-FSKD 2017: 161-165 - [c14]Yuhang Xin, Qiang Wu, Qibin Zhao, Qi Wu:
Semi-supervised Regularized Discriminant Analysis for EEG-Based BCI System. IDEAL 2017: 516-523 - [c13]Xuemei Wu, Jing Li, Qiang Wu, Jiande Sun:
Appearance-based gaze block estimation via CNN classification. MMSP 2017: 1-5 - [c12]Xuemei Wu, Jing Li, Qiang Wu, Jiande Sun, Hua Yan:
Block-Wise Gaze Estimation Based on Binocular Images. PSIVT 2017: 477-487 - 2016
- [c11]Zhenxiao Fu, Jiande Sun, Qiang Wu, Jing Li:
Depth propagation in 2D-to-3D conversion based on frame clustering. ICASSP 2016: 1616-1620 - [c10]Jie Li, Hongfei Ji, Rong Gu, Lusong Hou, Zhicheng Zhang, Qiang Wu, Rongrong Lu, Maozhen Li:
Explore the Brain Response to Naturalistic and Continuous Music Using EEG Phase Characteristics. ICIC (1) 2016: 294-305 - 2015
- [c9]Wulin Wang, Jiande Sun, Jing Li, Qiang Wu, Ju Liu:
Investigation on the Influence of Visual Attention on Image Memorability. ICIG (3) 2015: 573-582 - 2014
- [j8]Jie Li, Hongfei Ji, Lei Cao, Di Zang, Rong Gu, Bin Xia, Qiang Wu:
Evaluation and Application of a Hybrid Brain Computer Interface for Real Wheelchair Parallel Control with Multi-Degree of Freedom. Int. J. Neural Syst. 24(4) (2014) - [j7]Fengyu Cong, Guoxu Zhou, Piia Astikainen, Qibin Zhao, Qiang Wu, Asoke K. Nandi, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki:
Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials. Int. J. Neural Syst. 24(8) (2014) - [j6]Qiang Wu, Liqing Zhang, Andrzej Cichocki:
Multifactor sparse feature extraction using Convolutive Nonnegative Tucker Decomposition. Neurocomputing 129: 17-24 (2014) - [c8]Qiang Wu, Ju Liu, Feng-rong Sun, Jie Li, Andrzej Cichocki:
Nonnegative Shifted Tensor Factorization in time frequency domain. IJCNN 2014: 3009-3014 - 2013
- [j5]Fengyu Cong, Anh Huy Phan, Piia Astikainen, Qibin Zhao, Qiang Wu, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki:
Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG. Int. J. Neural Syst. 23(2) (2013) - [j4]Feng-rong Sun, Xiao-jing Wang, Qiang Wu, Gui-hua Yao, Yun Zhang:
Measurement of left ventricular torsion using block-matching-based speckle tracking for two-dimensional echocardiography. J. Electronic Imaging 22(1): 013010 (2013) - [c7]Chunlu Lai, Ju Liu, Qiang Wu:
Classification of sMRI data in Alzheimer's disease based on UMPCA and Laplacian Score. ICICS 2013: 1-4 - 2012
- [c6]Fengyu Cong, Anh Huy Phan, Qibin Zhao, Qiang Wu, Tapani Ristaniemi, Andrzej Cichocki:
Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations. ICONIP (3) 2012: 166-173 - [c5]Fengyu Cong, Guoxu Zhou, Qibin Zhao, Qiang Wu, Asoke K. Nandi, Tapani Ristaniemi, Andrzej Cichocki:
Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials. MLSP 2012: 1-6 - 2011
- [j3]Qiang Wu, Liqing Zhang, Guangchuan Shi:
Robust Multifactor Speech Feature Extraction Based on Gabor Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 19(4): 927-936 (2011) - [c4]Qiang Wu, Liqing Zhang, Andrzej Cichocki:
A Two Stage Algorithm for K-Mode Convolutive Nonnegative Tucker Decomposition. ICONIP (2) 2011: 663-670 - 2010
- [j2]Qiang Wu, Liqing Zhang, Guangchuan Shi:
Robust Feature Extraction for Speaker Recognition Based on Constrained Nonnegative Tensor Factorization. J. Comput. Sci. Technol. 25(4): 783-792 (2010)
2000 – 2009
- 2009
- [c3]Qiang Wu, Liqing Zhang, Guangchuan Shi:
Robust speech feature extraction based on Gabor filtering and tensor factorization. ICASSP 2009: 4649-4652 - 2008
- [j1]Qiang Wu, Liqing Zhang:
Auditory Sparse Representation for Robust Speaker Recognition Based on Tensor Structure. EURASIP J. Audio Speech Music. Process. 2008 (2008) - [c2]Qiang Wu, Liqing Zhang:
Nonnegative Tensor PCA and Application to Speaker Recognition in Noise Environments. ICNC (4) 2008: 187-191 - [c1]Qiang Wu, Liqing Zhang, Guangchuan Shi:
Robust Speaker Modeling Based on Constrained Nonnegative Tensor Factorization. ISNN (1) 2008: 11-20
Coauthor Index
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last updated on 2024-11-06 21:36 CET by the dblp team
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