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2020 – today
- 2024
[j37]Yu Liu, Yingchun Guo
, Ye Zhu, Ming Yu:
Adaptive similarity-guided self-merging network for few-shot semantic segmentation. Comput. Electr. Eng. 119: 109527 (2024)- [j36]Mingyuan Li, Yingchun Guo:
Disentangled Lifespan Synthesis via Transformer-Based Nonlinear Regression. Comput. Graph. Forum 43(7): i-xxii (2024) - [j35]Yingchun Guo, Shu Chen, Gang Yan, Shi Di, Xueqi Lv:
Salient Object Ranking: Saliency model on relativity learning and evaluation metric on triple accuracy. Displays 85: 102855 (2024) - [j34]Cuihong Xue, Jingli Jia, Ming Yu, Gang Yan, Yingchun Guo, Yuehao Liu:
Continuous sign language recognition based on hierarchical memory sequence network. IET Comput. Vis. 18(2): 247-259 (2024) - [j33]Yingchun Guo, Xinsheng Dou, Ye Zhu, Xinyao Wang:
Domain generalization person re-identification via style adaptation learning. Int. J. Mach. Learn. Cybern. 15(10): 4733-4746 (2024) - [j32]Yingchun Guo, Meng Zhang, Xiaoke Hao, Gang Yan:
IRNet-RS: image retargeting network via relative saliency. Neural Comput. Appl. 36(8): 4133-4149 (2024) - [j31]Yingchun Guo, Xin Su, Gang Yan, Ye Zhu, Xueqi Lv:
Age transformation based on deep learning: a survey. Neural Comput. Appl. 36(9): 4537-4561 (2024) - [j30]Yu Liu, Yingchun Guo, Ming Yu, Ye Zhu, Romoke Grace Akindele:
Few-shot segmentation based on high-resolution representation and Brownian distance covariance learning. Signal Image Video Process. 18(4): 3773-3787 (2024) - [j29]Yingchun Guo, Mingyuan Li, Gang Yan:
Identity-Preserving Face Aging With Multi-Attribution Fusion and Multi-Scale Attention. IEEE Signal Process. Lett. 31: 1805-1809 (2024) - [j28]Ye Zhu, Jian Liu, Yang Yu, Yingchun Guo, Xiaoke Hao:
Progressive Mask Transformer With Edge Enhancement for Image Manipulation Localization. IEEE Signal Process. Lett. 31: 2380-2384 (2024) - [j27]Xiaoke Hao, Jingyi Wang, Zilong He, Yingchun Guo, Ming Yu, Feng Liu, Jing Qin, Daoqiang Zhang:
Multi-Cluster Self-Paced Diverse Learning and Feature Fusion for Autism Spectrum Disorder Identification With Resting-State fMRI. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3860-3873 (2024) - [j26]Youxi Wu, Zhen Wang, Yan Li, Yingchun Guo, He Jiang, Xingquan Zhu, Xindong Wu:
Co-occurrence Order-preserving Pattern Mining with Keypoint Alignment for Time Series. ACM Trans. Manag. Inf. Syst. 15(2): 9 (2024) - [c10]Xiaoke Hao, Mingming Ma, Yingchun Guo, Jiawang Li, Jing Qin, Daoqiang Zhang:
A Framework on Imaging and Phenotype Information Hierarchical Graph Convolutional Networks for Identification of Autism Spectrum Disorder. ISBI 2024: 1-4 - [i4]Youxi Wu, Zhen Wang, Yan Li, Yingchun Guo, He Jiang, Xingquan Zhu, Xindong Wu:
Co-occurrence order-preserving pattern mining. CoRR abs/2404.19243 (2024) - 2023
- [j25]Yingchun Guo, Dan Wang, Gang Yan, Ye Zhu:
Image retargeting quality assessment: A survey. J. Intell. Fuzzy Syst. 44(2): 1921-1942 (2023) - [j24]Ming Yu, Xiaoqing Lin, Yi Liu, Yingchun Guo:
Multi-scale attention and boundary enhancement with long-range dependency for salient object detection. J. Intell. Fuzzy Syst. 44(6): 8957-8969 (2023) - [j23]Yingchun Guo, Dan Wang, Ye Zhu, Gang Yan:
Multi-operator Image Retargeting based on Saliency Object Ranking and Similarity Evaluation Metric. Signal Process. Image Commun. 119: 117063 (2023) - [j22]Xiaoke Hao, Ruxue Wang, Yingchun Guo, Yunjia Xiao, Ming Yu, Meiling Wang, Weibin Chen, Daoqiang Zhang:
Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer's Disease. IEEE Trans. Cogn. Dev. Syst. 15(2): 832-843 (2023) - [j21]Xiaoke Hao, Qihao Tan, Yingchun Guo, Yunjia Xiao, Ming Yu, Meiling Wang, Jing Qin, Daoqiang Zhang, Alzheimer's Disease Neuroimaging Initiative:
Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics. IEEE Trans. Biomed. Eng. 70(3): 831-840 (2023) - [j20]Gang Yan, Zijin Wang, Shuze Geng, Yang Yu, Yingchun Guo:
Part-Based Representation Enhancement for Occluded Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 33(8): 4217-4231 (2023) - 2022
- [j19]Yingchun Guo, Fang Feng, Xiaoke Hao, Xi Chen:
JAC-Net: Joint learning with adaptive exploration and concise attention for unsupervised domain adaptive person re-identification. Neurocomputing 483: 262-274 (2022) - [j18]Ming Yu, Jingli Jia, Cui-Hong Xue, Gang Yan, Yingchun Guo, Yuehao Liu:
A review of sign language recognition research. J. Intell. Fuzzy Syst. 43(4): 3879-3898 (2022) - [j17]Yu Liu, Yingchun Guo, Ye Zhu, Ming Yu:
Mining semantic information from intra-image and cross-image for few-shot segmentation. Multim. Tools Appl. 81(13): 18305-18326 (2022) - [c9]Yan Li, Jin Liu, Yingchun Guo, Jing Liu, Youxi Wu:
AOP-Miner: Approximate Order-Preserving Pattern Mining for Time Series. ICKG 2022: 149-156 - [c8]Hua Lv, Ye Zhu, Yingchun Guo, Gang Yan, Yang Yu, Xiaoke Hao:
Design and Practice of Multi-level Programming Experimental Teaching for Emerging Engineering Education. ICCSE (3) 2022: 544-551 - [c7]Ye Zhu, Yingchun Guo, Hua Lv, Tingting Zhang, Yang Yu, Yi Liu:
The Reform and Practice of PYTHON Programming Teaching in the Context of Emerging Engineering Education. ICCSE (3) 2022: 552-559 - [i3]Yingchun Guo, Huan He, Ye Zhu, Yang Yu:
Domain generalization Person Re-identification on Attention-aware multi-operation strategery. CoRR abs/2210.10409 (2022) - [i2]Yan Li, Jin Liu, Yingchun Guo, Jing Liu, Youxi Wu:
AOP-Miner: Approximate Order-Preserving Pattern Mining for Time Series. CoRR abs/2212.01995 (2022) - 2021
- [j16]Shuo Shi, Changwei Huo, Yingchun Guo, Stephen Lean, Gang Yan, Ming Yu:
Truncated attention mechanism and cascade loss for cross-modal person re-identification. J. Intell. Fuzzy Syst. 41(6): 6575-6587 (2021) - [j15]Xiaoke Hao, Jie Li, Yingchun Guo, Tao Jiang, Ming Yu:
Hypergraph Neural Network for Skeleton-Based Action Recognition. IEEE Trans. Image Process. 30: 2263-2275 (2021) - [c6]Ye Zhu, Na Qi, Yingchun Guo, Bin Li:
SEINet: Semantic-Edge Interaction Network for Image Manipulation Localization. PRCV (2) 2021: 29-41 - [i1]Ming Yu, Shuyun Wang, Cui-Hong Xue, Yingchun Guo, Gang Yan:
Information Prebuilt Recurrent Reconstruction Network for Video Super-Resolution. CoRR abs/2112.05755 (2021) - 2020
- [j14]Gang Yan, Rongjia Bi, Yingchun Guo, Weifeng Peng:
Image Aesthetic Assessment Based on Latent Semantic Features. Inf. 11(4): 223 (2020) - [j13]Xiaoke Hao, Yongjin Bao, Yingchun Guo, Ming Yu, Daoqiang Zhang, Shannon L. Risacher, Andrew J. Saykin, Xiaohui Yao, Li Shen:
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Anal. 60 (2020) - [j12]Ye Zhu, Chaofan Chen, Gang Yan, Yingchun Guo, Yongfeng Dong:
AR-Net: Adaptive Attention and Residual Refinement Network for Copy-Move Forgery Detection. IEEE Trans. Ind. Informatics 16(10): 6714-6723 (2020)
2010 – 2019
- 2019
- [j11]Shuze Geng, Ming Yu, Yingchun Guo, Yang Yu:
A Weighted Center Graph Fusion Method for Person Re-Identification. IEEE Access 7: 23329-23342 (2019) - [j10]Yingchun Guo, Kunpeng Zhao, Xiaoke Hao, Ming Yu:
Deep Regression Neural Network for End-to-End Person Re-Identification. IEEE Access 7: 92825-92837 (2019) - [j9]Xi Chen, Ming Yu, Feng Yue, Bin Li, Yingchun Guo:
A Generic Template Update Framework: The Solution for Intra-Class Variations in Biometric Systems. IEEE Access 7: 145082-145094 (2019) - [j8]Tingting Zhang, Ming Yu, Yingchun Guo, Yi Liu:
Content-Aware Retargeted Image Quality Assessment. Inf. 10(3): 111 (2019) - 2018
- [j7]Yingchun Guo, Zhuo Li, Yi Liu, Gang Yan, Ming Yu:
Video Object Extraction Based on Spatiotemporal Consistency Saliency Detection. IEEE Access 6: 35171-35181 (2018) - [j6]Yingchun Guo, Ruoyu Wei, Yi Liu:
Weighted Gradient Feature Extraction Based on Multiscale Sub-Blocks for 3D Facial Recognition in Bimodal Images. Inf. 9(3): 48 (2018) - [j5]Yingchun Guo, Yuting Hao, Ming Yu:
Image retargeting quality assessment based on content deformation measurement. Signal Process. Image Commun. 67: 171-181 (2018) - 2014
- [j4]Ying-Chun Guo, Gang Yan, Cui-Hong Xue, Yang Yu:
Blind Assessment of Wavelet-Compressed Images Based On Subband Statistics of Natural Scenes. Int. J. Adv. Pervasive Ubiquitous Comput. 6(1): 26-43 (2014) - [j3]Yan Wang, Yang Yu, Gang Yan, Yingchun Guo:
Moving Objects Detection Based on the Precise Background Compensation Under Dynamic Scene. Int. J. Adv. Pervasive Ubiquitous Comput. 6(1): 44-59 (2014) - [j2]Yingchun Guo, Yanhong Feng, Gang Yan, Shuo Shi:
Multi-Resolution Salient Region Detection in Frequency Domain. Int. J. Adv. Pervasive Ubiquitous Comput. 6(1): 60-70 (2014) - 2013
- [c5]Ying-Chun Guo, Xiao-Min Yue, Gang Yan:
Salient region detection based on multi-resolution. ICMLC 2013: 968-972 - 2012
- [c4]Ying-Chun Guo, Wen-Wen Pan, Xiao-Min Yue:
Image saliency detection based on local and regional features. ICMLC 2012: 1124-1129 - 2010
- [j1]Dong-Xiao Niu, Ying-Chun Guo:
An Improved PSO for Parameter Determination and Feature Selection of SVR and its Application in STLF. J. Multiple Valued Log. Soft Comput. 16(6): 567-584 (2010)
2000 – 2009
- 2009
- [c3]Ying-Chun Guo, Dong-Xiao Niu:
Short-Term Load Forecasting Using Support Vector Regression Based on Pattern-Base. ACIIDS 2009: 336-340 - [c2]Ying-Chun Guo:
Knowledge-Enabled Short-Term Load Forecasting Based on Pattern-Base Using Classification & Regression Tree and Support Vector Regression. ICNC (3) 2009: 425-429 - [c1]Yanhong Liang, Dequan Gan, Yingchun Guo, Peng Zhang:
Computer-Aided Analysis of Patents for Product Technology Maturity Forecasting. IFIP CAI 2009: 295-303
Coauthor Index
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