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- Yingchun Guo
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Publication search results
found 124 matches
- 2024
- Ying-Chun Lee, Chih-Yang Lin, Chia-Chun Hsiao, Pu-Chun Mo, Jiaqi Guo, Yih-Kuen Jan:
Using Deep Learning-Based Methods for Automated Segmentation of Soft Tissues From Shoulder Ultrasound Images. IEEE Access 12: 111481-111492 (2024) - Yingchun Liu, Yuelin Gao, Suxia Ma, Eryang Guo:
A Non-Parameter Filled Function Method for Unconstrained Global Optimization Problems. Asia Pac. J. Oper. Res. 41(2): 2350013:1-2350013:18 (2024) - Hai Tang, Xin Luo, Xiuyin Shen, Dazhi Fan, Jiamin Rao, Yingchun Wan, Huiting Ma, Xiaoling Guo, Zhengping Liu, Jie Gao:
Lysosome-related biomarkers in preeclampsia and cancers: Machine learning and bioinformatics analysis. Comput. Biol. Medicine 171: 108201 (2024) - 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) - Xiaoyang Chen, Xinping Dong, Jinjin Zhang, Yingchun Cai, Guolong Ping:
Dominant causal factors of failure performance of cross-jointed segmental lining. Commun. Nonlinear Sci. Numer. Simul. 130: 107731 (2024) - 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) - 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) - 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) - 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) - Yingchun Guo, Meng Zhang, Xiaoke Hao, Gang Yan:
IRNet-RS: image retargeting network via relative saliency. Neural Comput. Appl. 36(8): 4133-4149 (2024) - Yingchun Wang, Song Guo, Jingcai Guo, Jie Zhang, Weizhan Zhang, Caixia Yan, Yuanhong Zhang:
Towards performance-maximizing neural network pruning via global channel attention. Neural Networks 171: 104-113 (2024) - Houpeng Sun, Yingchun Li, Huichao Guo, Chenglong Luan, Laixian Zhang, Haijing Zheng, Youchen Fan:
Research on Student's T-Distribution Point Cloud Registration Algorithm Based on Local Features. Sensors 24(15): 4972 (2024) - 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) - 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) - 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) - 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) - Pengcheng Zhu, Wei Chen, Dufeng Chen, Jueting Liu, Zemeng Liu, Yingchun Liu, Guoyuan Lin:
An Efficient Query System for Coal Mine Safety Information Based on Retrieval-Augmented Language Model. ICIC (LNAI 2) 2024: 235-243 - Jiachen Bei, Guo Cao, Jinbao Zhu, Yingchun Han, Yijun Zhang:
Cross-Domain Few-Shot Hyperspectral Image Classification with Bias Diminishing and Domain Bridging. IGARSS 2024: 9961-9965 - Yingchun Han, Guo Cao:
Grouped Multi-Scale Network with Noisy Sample Detection for Hyperspectral Image Classification with Noisy Labels. IGARSS 2024: 10025-10029 - Jinbao Zhu, Guo Cao, Jiachen Bei, Yijun Zhang, Yingchun Han:
Fusion of Dilated Convolution in CNN and Transformer Networks for Hyperspectral Image Classification. IGARSS 2024: 9991-9995 - 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 - Kexin Huang, Xiangyang Liu, Qianyu Guo, Tianxiang Sun, Jiawei Sun, Yaru Wang, Zeyang Zhou, Yixu Wang, Yan Teng, Xipeng Qiu, Yingchun Wang, Dahua Lin:
Flames: Benchmarking Value Alignment of LLMs in Chinese. NAACL-HLT 2024: 4551-4591 - Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li, Limin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He, Yingchun Wang, Yixu Wang, Yongting Zhang, Yu Qiao, Yujiong Shen, Yurong Mou, Yuxi Chen, Zaibin Zhang, Zhelun Shi, Zhenfei Yin, Zhipin Wang:
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities. CoRR abs/2401.15071 (2024) - 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
- Guohao Lv, Yingchun Xia, Zhao Qi, Zihao Zhao, Lianggui Tang, Cheng Chen, Shuai Yang, Qingyong Wang, Lichuan Gu:
LncRNA-protein interaction prediction with reweighted feature selection. BMC Bioinform. 24(1): 410 (2023) - Yingchun Chen, Jinguo Li, Naiwang Guo:
Efficient and interpretable SRU combined with TabNet for network intrusion detection in the big data environment. Int. J. Inf. Sec. 22(3): 679-689 (2023) - 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) - Yingchun Guo, Dan Wang, Gang Yan, Ye Zhu:
Image retargeting quality assessment: A survey. J. Intell. Fuzzy Syst. 44(2): 1921-1942 (2023) - Wanqiu Li, Chuanyin Zhang, Wei Wang, Jinyun Guo, Yingchun Shen, Zhiwei Wang, Jingxue Bi, Qiuying Guo, Yulong Zhong, Wei Li, Chengcheng Zhu, Pengfei Xu:
Inversion of Regional Groundwater Storage Changes Based on the Fusion of GNSS and GRACE Data: A Case Study of Shaanxi-Gansu-Ningxia. Remote. Sens. 15(2): 520 (2023) - Zhigang Yu, Guoman Huang, Zheng Zhao, Yingchun Huang, Chenxi Zhang, Guanghui Zhang:
A Multi-Scale Spatial Difference Approach to Estimating Topography Correlated Atmospheric Delay in Radar Interferograms. Remote. Sens. 15(8): 2115 (2023)
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