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Jin Liu 0012
Person information
- affiliation: Central South University, School of Information Science and Engineering, Changsha, China
Other persons with the same name
- Jin Liu — disambiguation page
- Jin Liu 0001 — Heinrich-Hertz-Institut für Nachrichtentechnik GmbH, Berlin, Germany (and 1 more)
- Jin Liu 0002 — Washington State University, School of Mechanical and Materials Engineering, Pullman, WA, USA
- Jin Liu 0003 — The University of Electro-Communications, Department of Communication Engineering, Tokyo, Japan
- Jin Liu 0004
— University of Texas at Dallas, Department of Electrical Engineering, USA (and 1 more)
- Jin Liu 0005
- Jin Liu 0006
- Jin Liu 0007
- Jin Liu 0008
- Jin Liu 0009
- Jin Liu 0010
- Jin Liu 0011
- Jin Liu 0013
- Jin Liu 0014
- Jin Liu 0015
- Jin Liu 0016
- Jin Liu 0017 — National Huaqiao University, College of Computer Science and Technology, Xiamen, China (and 1 more)
- Jin Liu 0018
- Jin Liu 0019
- Jin Liu 0020
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2020 – today
- 2025
- [j37]Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang
Asymmetric patch sampling for contrastive learning. Pattern Recognit. 158: 111012 (2025) - 2024
- [j36]Rui Guo
Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. 21(1): 57-68 (2024) - [j35]Jin Liu
MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis. IEEE Trans. Comput. Soc. Syst. 11(1): 389-398 (2024) - [j34]Hulin Kuang
Hybrid CNN-Transformer Network With Circular Feature Interaction for Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans. IEEE Trans. Medical Imaging 43(6): 2303-2316 (2024) - [c27]Jin Liu, Xiaokang Pan, Junwen Duan, Hongdong Li, Youqi Li, Zhe Qu:
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization. AAAI 2024: 13927-13935 - [c26]Jin Liu, Dejiao Zeng, Ludi Li, Hanhe Lin, Xu Tian:
Source-Free Domain Adaptation for Millimeter Wave Radar Based Human Activity Recognition. ICASSP 2024: 7120-7124 - [c25]Yongxin He, Jin Liu, Min Li, Ruiqing Zheng:
scCoRR: A Data-Driven Self-correction Framework for Labeled scRNA-Seq Data. ISBRA (2) 2024: 47-58 - [c24]Jin Liu, Hao Du, Junbin Mao, Jianchun Zhu, Xu Tian:
A Novel Dual Interactive Network for Parkinson's Disease Diagnosis Based on Multi-modality Magnetic Resonance Imaging. ISBRA (2) 2024: 434-444 - 2023
- [j33]Wei Lan
Benchmarking of computational methods for predicting circRNA-disease associations. Briefings Bioinform. 24(1) (2023) - [j32]Hulin Kuang
BEA-Net: Body and Edge Aware Network With Multi-Scale Short-Term Concatenation for Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27(10): 4828-4839 (2023) - [c23]Junwen Duan, Fangyuan Wei, Jin Liu, Hongdong Li, Tianming Liu, Jianxin Wang:
CDA: A Contrastive Data Augmentation Method for Alzheimer's Disease Detection. ACL (Findings) 2023: 1819-1826 - [c22]Lei Ma, Hulin Kuang, Jin Liu, Chengchao Shen, Jianxin Wang:
Improving Medical Image Denoising via a Lightweight Plug-and-play Module. BIBM 2023: 1350-1355 - [c21]Junbin Mao, Hanhe Lin
FedGST: Federated Graph Spatio-Temporal Framework for Brain Functional Disease Prediction. BIBM 2023: 1356-1361 - [c20]Chenhui Wang, Hulin Kuang, Jin Liu, Junjian Li, Hailin Yue, Jianxin Wang:
Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation. BIBM 2023: 1497-1502 - [c19]Jingxiao Yao, Jin Liu, Jianhong Cheng, Hulin Kuang, Jian-Xin Wang:
M3CI-Net: Multi-Modal MRI-Based Characteristics Inspired Network for IDH Genotyping. BIBM 2023: 1649-1654 - [c18]Hailin Yue, Jin Liu, Hulin Kuang, Jianhong Cheng, Junjian Li, Jianxin Wang:
A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer. BIBM 2023: 1670-1675 - [c17]Junwen Duan, Fei Guo, Jin Liu, Hongdong Li:
Enhancing Database Principles Teaching with ChatGPT-Like Language Models. ICCSE (1) 2023: 295-300 - [c16]Jin Liu, Jianchun Zhu, Xu Tian
Multi-atlas Representations Based on Graph Convolutional Networks for Autism Spectrum Disorder Diagnosis. PRCV (13) 2023: 460-471 - [i4]Junbin Mao, Jin Liu, Hanhe Lin, Hulin Kuang, Shirui Pan, Yi Pan:
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery. CoRR abs/2303.03388 (2023) - [i3]Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang:
Asymmetric Patch Sampling for Contrastive Learning. CoRR abs/2306.02854 (2023) - [i2]Jin Liu, Xiaokang Pan, Junwen Duan, Hongdong Li, Youqi Li, Zhe Qu:
Breaking the Complexity Barrier in Compositional Minimax Optimization. CoRR abs/2308.09604 (2023) - 2022
- [j31]Wei Lan
KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network. Briefings Bioinform. 23(1) (2022) - [j30]Xuejian Li, Shiqiang Ma
Inferring gene regulatory network via fusing gene expression image and RNA-seq data. Bioinform. 38(6): 1716-1723 (2022) - [j29]Fangyu Zhang, Yanjie Wei, Jin Liu, Yanlin Wang, Wenhui Xi
Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder. Comput. Biol. Medicine 148: 105854 (2022) - [j28]Jianhong Cheng, Hulin Kuang
DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis. Future Gener. Comput. Syst. 135: 20-29 (2022) - [j27]Yufei Wang, Jin Liu, Yizhen Xiang, Jianxin Wang, Qingyong Chen, Jing Chong:
MAGE: Automatic diagnosis of autism spectrum disorders using multi-atlas graph convolutional networks and ensemble learning. Neurocomputing 469: 346-353 (2022) - [j26]Hailin Yue, Jin Liu, Junjian Li
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images. Medical Image Anal. 79: 102423 (2022) - [j25]Junjian Li
DARC: Deep adaptive regularized clustering for histopathological image classification. Medical Image Anal. 80: 102521 (2022) - [j24]Jianhong Cheng
Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1084-1095 (2022) - [j23]Wei Lan
LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1715-1723 (2022) - [j22]Jianhong Cheng
Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2723-2736 (2022) - [j21]Wei Lan
IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3530-3538 (2022) - [j20]Jianhong Cheng
Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading. IEEE J. Biomed. Health Informatics 26(2): 673-684 (2022) - [j19]Jianhong Cheng
A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping. IEEE Trans. Medical Imaging 41(6): 1520-1532 (2022) - [c15]Xinyu Li, Jianhong Cheng, Jin Liu, Hulin Kuang, Chengchao Shen, Pei Yang
MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status. BIBM 2022: 1040-1045 - [c14]Jin Liu, Hao Du, Qian Bi, Haiyan Liao, Yi Pan:
MEST: Multi-plane Embedding and Spatial-temporal Transformer for Parkinson's disease diagnosis. BIBM 2022: 1072-1077 - [c13]Manna Xiao, Hulin Kuang, Jin Liu, Yan Zhang, Yizhen Xiang, Jianxin Wang:
Integrating Multi-scale Feature Representation and Ensemble Learning for Schizophrenia Diagnosis. BIBM 2022: 1305-1310 - [c12]Junbin Mao, Yu Sheng, Wei Lan, Xu Tian
Graph Convolutional Networks Based on Relational Attention Mechanism for Autism Spectrum Disorders Diagnosis. ICIRA (1) 2022: 341-348 - [e1]Donald A. Adjeroh, Qi Long, Xinghua Mindy Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda Mondal, Jin Liu:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022. IEEE 2022, ISBN 978-1-6654-6819-0 [contents] - [i1]Fangyu Zhang, Yanjie Wei, Jin Liu, Yanlin Wang, Wenhui Xi, Yi Pan:
Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder. CoRR abs/2204.03654 (2022) - 2021
- [j18]Jin Liu
MMHGE: detecting mild cognitive impairment based on multi-atlas multi-view hybrid graph convolutional networks and ensemble learning. Clust. Comput. 24(1): 103-113 (2021) - [j17]Wei Lan
Prediction of circRNA-miRNA Associations Based on Network Embedding. Complex. 2021: 6659695:1-6659695:10 (2021) - [j16]Qingfeng Chen
ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1106-1112 (2021) - [c11]Hulin Kuang, Yixiong Liang, Ning Liu, Jin Liu, Jianxin Wang:
BEA-SegNet: Body and Edge Aware Network for Medical Image Segmentation. BIBM 2021: 939-944 - [c10]Jin Liu, Xu Tian
MTFIL-Net: automated Alzheimer's disease detection and MMSE score prediction based on feature interactive learning. BIBM 2021: 1002-1007 - [c9]Lei Xu, Jianhong Cheng, Jin Liu, Hulin Kuang, Fan Wu, Jianxin Wang:
ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention. BIBM 2021: 1125-1130 - [c8]Jianhong Cheng, Jin Liu, Meilin Jiang, Hailin Yue, Lin Wu, Jianxin Wang:
Prediction of Egfr Mutation Status in Lung Adenocarcinoma Using Multi-Source Feature Representations. ICASSP 2021: 1350-1354 - [c7]Guihua Duan, Yu Sheng, Ping Zhong, Jin Liu, Hongdong Li, Ying An:
Reform and Practice of Open Teaching Mode Based on Innovation Ability Training. ICCSE 2021: 998-1001 - [c6]Jianhong Cheng, Qichang Zhao
A New Deep Learning Training Scheme: Application to Biomedical Data. ISBRA 2021: 451-459 - 2020
- [j15]Wei Lan
CircR2Cancer: a manually curated database of associations between circRNAs and cancers. Database J. Biol. Databases Curation 2020 (2020) - [j14]Jin Liu, Guanxin Tan, Wei Lan
Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks. BMC Bioinform. 21-S(6): 123 (2020) - [j13]Ximin Wu, Wei Lan
Inferring LncRNA-disease associations based on graph autoencoder matrix completion. Comput. Biol. Chem. 87: 107282 (2020) - [j12]Jin Liu
Enhancing the feature representation of multi-modal MRI data by combining multi-view information for MCI classification. Neurocomputing 400: 322-332 (2020) - [j11]Jin Liu
Improved ASD classification using dynamic functional connectivity and multi-task feature selection. Pattern Recognit. Lett. 138: 82-87 (2020) - [c5]Hong-Dong Li, Rui Guo, Junjian Li, Jianxin Wang, Yi Pan
Joint Learning of Primary and Secondary Labels based on Multi-scale Representation for Alzheimer's Disease Diagnosis. BIBM 2020: 637-642
2010 – 2019
- 2019
- [j10]Yazhou Kong, Jianliang Gao, Yunpei Xu, Yi Pan
Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier. Neurocomputing 324: 63-68 (2019) - [j9]Qingfeng Chen, Canshang Deng, Wei Lan
Identifying Interactions Between Kinases and Substrates Based on Protein-Protein Interaction Network. J. Comput. Biol. 26(8): 836-845 (2019) - [c4]Jianhong Cheng
Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution. BIBM 2019: 1031-1036 - [c3]Jin Liu, Dejiao Zeng, Mingming Lu, Jianxin Wang:
Mild Cognitive Impairment Identification Based on Multi-View Graph Convolutional Networks. CBD 2019: 309-314 - 2018
- [j8]Jin Liu, Yi Pan
Applications of deep learning to MRI images: A survey. Big Data Min. Anal. 1(1): 1-18 (2018) - [j7]Jin Liu, Xiang Wang, Xiangrong Zhang, Yi Pan
MMM: classification of schizophrenia using multi-modality multi-atlas feature representation and multi-kernel learning. Multim. Tools Appl. 77(22): 29651-29667 (2018) - [j6]Jin Liu, Min Li
Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 624-632 (2018) - [j5]Jin Liu, Jianxin Wang
Improving Alzheimer's Disease Classification by Combining Multiple Measures. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1649-1659 (2018) - [j4]Wei Lan
Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1774-1782 (2018) - [c2]Canshang Deng, Qingfeng Chen, Zhixian Liu, Ruiqing Zheng, Jin Liu, Jianxin Wang, Wei Lan
KSIBW: Predicting Kinase-Substrate Interactions Based on Bi-random Walk. ISBRA 2018: 151-162 - 2017
- [j3]Wei Lan
LDAP: a web server for lncRNA-disease association prediction. Bioinform. 33(3): 458-460 (2017) - [j2]Jin Liu, Min Li
Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey. Complex. 2017: 8362741:1-8362741:27 (2017) - 2016
- [j1]Wei Lan
Predicting drug-target interaction using positive-unlabeled learning. Neurocomputing 206: 50-57 (2016) - 2015
- [c1]Wei Lan
Predicting microRNA-disease associations by integrating multiple biological information. BIBM 2015: 183-188
Coauthor Index
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last updated on 2024-11-22 20:38 CET by the dblp team
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