Short-Term Load Forecasting Using Support Vector Regression Based on Pattern-Base. - Ying-Chun Guo; Dong-Xiao Niu (ACIIDS, 2009)

Knowledge-Enabled Short-Term Load Forecasting Based on Pattern-Base Using Classification & Regression Tree and Support Vector Regression. - Ying-Chun Guo (ICNC (3), 2009)

Computer-Aided Analysis of Patents for Product Technology Maturity Forecasting. - Yanhong Liang; Dequan Gan; Yingchun Guo; Peng Zhang (IFIP CAI, 2009)

An Improved PSO for Parameter Determination and Feature Selection of SVR and its Application in STLF. - Dong-Xiao Niu; Ying-Chun Guo (J. Multiple Valued Log. Soft Comput., 2010)

Image saliency detection based on local and regional features. - Ying-Chun Guo; Wen-Wen Pan; Xiao-Min Yue (ICMLC, 2012)

Salient region detection based on multi-resolution. - Ying-Chun Guo; Xiao-Min Yue; Gang Yan 001 (ICMLC, 2013)

Multi-Resolution Salient Region Detection in Frequency Domain. - Yingchun Guo; Yanhong Feng; Gang Yan 001; Shuo Shi (Int. J. Adv. Pervasive Ubiquitous Comput., 2014)

Blind Assessment of Wavelet-Compressed Images Based On Subband Statistics of Natural Scenes. - Ying-Chun Guo; Gang Yan 001; Cui-Hong Xue; Yang Yu 022 (Int. J. Adv. Pervasive Ubiquitous Comput., 2014)

Moving Objects Detection Based on the Precise Background Compensation Under Dynamic Scene. - Yan Wang; Yang Yu 022; Gang Yan 001; Yingchun Guo (Int. J. Adv. Pervasive Ubiquitous Comput., 2014)

Video Object Extraction Based on Spatiotemporal Consistency Saliency Detection. - Yingchun Guo; Zhuo Li; Yi Liu; Gang Yan 001; Ming Yu 006 (IEEE Access, 2018)

Weighted Gradient Feature Extraction Based on Multiscale Sub-Blocks for 3D Facial Recognition in Bimodal Images. - Yingchun Guo; Ruoyu Wei; Yi Liu (Inf., 2018)

Image retargeting quality assessment based on content deformation measurement. - Yingchun Guo; Yuting Hao; Ming Yu 006 (Signal Process. Image Commun., 2018)

A Generic Template Update Framework: The Solution for Intra-Class Variations in Biometric Systems. - Xi Chen 044; Ming Yu 006; Feng Yue; Bin Li 053; Yingchun Guo (IEEE Access, 2019)

A Weighted Center Graph Fusion Method for Person Re-Identification. - Shuze Geng; Ming Yu 006; Yingchun Guo; Yang Yu 022 (IEEE Access, 2019)

Deep Regression Neural Network for End-to-End Person Re-Identification. - Yingchun Guo; Kunpeng Zhao; Xiaoke Hao; Ming Yu 006 (IEEE Access, 2019)

Content-Aware Retargeted Image Quality Assessment. - Tingting Zhang; Ming Yu 006; Yingchun Guo; Yi Liu (Inf., 2019)

Image Aesthetic Assessment Based on Latent Semantic Features. - Gang Yan 001; Rongjia Bi; Yingchun Guo; Weifeng Peng (Inf., 2020)

Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. - Xiaoke Hao; Yongjin Bao; Yingchun Guo; Ming Yu 006; Daoqiang Zhang; Shannon L. Risacher; Andrew J. Saykin; Xiaohui Yao; Li Shen 001 (Medical Image Anal., 2020)

AR-Net: Adaptive Attention and Residual Refinement Network for Copy-Move Forgery Detection. - Ye Zhu; Chaofan Chen; Gang Yan 001; Yingchun Guo; Yongfeng Dong (IEEE Trans. Ind. Informatics, 2020)

SEINet: Semantic-Edge Interaction Network for Image Manipulation Localization. - Ye Zhu; Na Qi; Yingchun Guo; Bin Li 011 (PRCV (2), 2021)

Information Prebuilt Recurrent Reconstruction Network for Video Super-Resolution. - Ming Yu 006; Shuyun Wang; Cui-Hong Xue; Yingchun Guo; Gang Yan 001 (CoRR, 2021)

Truncated attention mechanism and cascade loss for cross-modal person re-identification. - Shuo Shi; Changwei Huo; Yingchun Guo; Stephen Lean; Gang Yan 001; Ming Yu 006 (J. Intell. Fuzzy Syst., 2021)

Hypergraph Neural Network for Skeleton-Based Action Recognition. - Xiaoke Hao; Jie Li; Yingchun Guo; Tao Jiang; Ming Yu 006 (IEEE Trans. Image Process., 2021)

AOP-Miner: Approximate Order-Preserving Pattern Mining for Time Series. - Yan Li 087; Jin Liu; Yingchun Guo; Jing Liu 066; Youxi Wu (ICKG, 2022)

Design and Practice of Multi-level Programming Experimental Teaching for Emerging Engineering Education. - Hua Lv; Ye Zhu; Yingchun Guo; Gang Yan 001; Yang Yu 022; Xiaoke Hao (ICCSE (3), 2022)

The Reform and Practice of PYTHON Programming Teaching in the Context of Emerging Engineering Education. - Ye Zhu; Yingchun Guo; Hua Lv; Tingting Zhang; Yang Yu 022; Yi Liu (ICCSE (3), 2022)

Domain generalization Person Re-identification on Attention-aware multi-operation strategery. - Yingchun Guo; Huan He; Ye Zhu; Yang Yu 022 (CoRR, 2022)

JAC-Net: Joint learning with adaptive exploration and concise attention for unsupervised domain adaptive person re-identification. - Yingchun Guo; Fang Feng; Xiaoke Hao; Xi Chen 044 (Neurocomputing, 2022)

A review of sign language recognition research. - Ming Yu 006; Jingli Jia; Cui-Hong Xue; Gang Yan 001; Yingchun Guo; Yuehao Liu (J. Intell. Fuzzy Syst., 2022)

Mining semantic information from intra-image and cross-image for few-shot segmentation. - Yu Liu; Yingchun Guo; Ye Zhu; Ming Yu 006 (Multim. Tools Appl., 2022)

Multi-scale attention and boundary enhancement with long-range dependency for salient object detection. - Ming Yu 006; Xiaoqing Lin; Yi Liu; Yingchun Guo (J. Intell. Fuzzy Syst., 2023)

Image retargeting quality assessment: A survey. - Yingchun Guo; Dan Wang; Gang Yan 001; Ye Zhu (J. Intell. Fuzzy Syst., 2023)

Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer's Disease. - Xiaoke Hao; Ruxue Wang; Yingchun Guo; Yunjia Xiao; Ming Yu 006; Meiling Wang 001; Weibin Chen; Daoqiang Zhang (IEEE Trans. Cogn. Dev. Syst., 2023)

Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics. - Xiaoke Hao; Qihao Tan; Yingchun Guo; Yunjia Xiao; Ming Yu 006; Meiling Wang 001; Jing Qin 001; Daoqiang Zhang; Alzheimer's Disease Neuroimaging Initiative (IEEE Trans. Biomed. Eng., 2023)

Part-Based Representation Enhancement for Occluded Person Re-Identification. - Gang Yan 001; Zijin Wang; Shuze Geng; Yang Yu 022; Yingchun Guo (IEEE Trans. Circuits Syst. Video Technol., 2023)

Multi-operator Image Retargeting based on Saliency Object Ranking and Similarity Evaluation Metric. - Yingchun Guo; Dan Wang; Ye Zhu; Gang Yan 001 (Signal Process. Image Commun., 2023)

A Framework on Imaging and Phenotype Information Hierarchical Graph Convolutional Networks for Identification of Autism Spectrum Disorder. - Xiaoke Hao; Mingming Ma; Yingchun Guo; Jiawang Li; Jing Qin 001; Daoqiang Zhang (ISBI, 2024)

Adaptive similarity-guided self-merging network for few-shot semantic segmentation. - Yu Liu; Yingchun Guo; Ye Zhu; Ming Yu 006 (Comput. Electr. Eng., 2024)

Co-occurrence order-preserving pattern mining. - Youxi Wu; Zhen Wang; Yan Li 087; Yingchun Guo; He Jiang 001; Xingquan Zhu 001; Xindong Wu 001 (CoRR, 2024)

Salient Object Ranking: Saliency model on relativity learning and evaluation metric on triple accuracy. - Yingchun Guo; Shu Chen; Gang Yan 001; Shi Di; Xueqi Lv (Displays, 2024)

Age transformation based on deep learning: a survey. - Yingchun Guo; Xin Su; Gang Yan 001; Ye Zhu; Xueqi Lv (Neural Comput. Appl., 2024)

IRNet-RS: image retargeting network via relative saliency. - Yingchun Guo; Meng Zhang; Xiaoke Hao; Gang Yan 001 (Neural Comput. Appl., 2024)

Identity-Preserving Face Aging With Multi-Attribution Fusion and Multi-Scale Attention. - Yingchun Guo; Mingyuan Li 005; Gang Yan 001 (IEEE Signal Process. Lett., 2024)

Progressive Mask Transformer With Edge Enhancement for Image Manipulation Localization. - Ye Zhu; Jian Liu; Yang Yu 022; Yingchun Guo; Xiaoke Hao (IEEE Signal Process. Lett., 2024)

Continuous sign language recognition based on hierarchical memory sequence network. - Cuihong Xue; Jingli Jia; Ming Yu 006; Gang Yan 001; Yingchun Guo; Yuehao Liu (IET Comput. Vis., 2024)

Few-shot segmentation based on high-resolution representation and Brownian distance covariance learning. - Yu Liu; Yingchun Guo; Ming Yu 006; Ye Zhu; Romoke Grace Akindele (Signal Image Video Process., 2024)

Co-occurrence Order-preserving Pattern Mining with Keypoint Alignment for Time Series. - Youxi Wu; Zhen Wang; Yan Li 087; Yingchun Guo; He Jiang 001; Xingquan Zhu 001; Xindong Wu 001 (ACM Trans. Manag. Inf. Syst., 2024)

Disentangled Lifespan Synthesis via Transformer-Based Nonlinear Regression. - Mingyuan Li 005; Yingchun Guo (Comput. Graph. Forum, 2024)

Domain generalization person re-identification via style adaptation learning. - Yingchun Guo; Xinsheng Dou; Ye Zhu; Xinyao Wang (Int. J. Mach. Learn. Cybern., 2024)

Multi-Cluster Self-Paced Diverse Learning and Feature Fusion for Autism Spectrum Disorder Identification With Resting-State fMRI. - Xiaoke Hao; Jingyi Wang; Zilong He; Yingchun Guo; Ming Yu 006; Feng Liu 035; Jing Qin 001; Daoqiang Zhang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Instance style-aware transformer for domain generalizable person re-identification. - Yingchun Guo; Shi Di; Yi Liu; Shu Chen; Xueqi Lv (Neurocomputing, 2025)

DSM-CLIP: A framework designed for hard negative sampling in generalizable person re-identification. - Yingchun Guo; Tianyang Xu; Yi Liu; Liwen Zhang (Neurocomputing, 2025)