Jin Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 45

Top Topics

Convolutional Network

Mild Cognitive Impairment

Feature Representation

Ensemble Learning

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Briefings Bioinform.

Publications

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)
Jin Liu, Hao Du, Rui Guo, Harrison X. Bai, Hulin Kuang, Jianxin Wang
MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Yongxin He, Jin Liu, Min Li, Ruiqing Zheng
scCoRR: A Data-Driven Self-correction Framework for Labeled scRNA-Seq Data. ISBRA (2) (2024)
Rui Guo, Xu Tian, Hanhe Lin, Stephen J. McKenna, Hong-Dong Li, Fei Guo, Jin Liu
Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (1) (2024)
Hulin Kuang, Yahui Wang, Jin Liu, Jie Wang, Quanliang Cao, Bo Hu, Wu Qiu, Jianxin Wang
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) (2024)
Jin Liu, Xiaokang Pan, Junwen Duan, Hongdong Li, Youqi Li, Zhe Qu
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization. AAAI (2024)
Jin Liu, Dejiao Zeng, Ludi Li, Hanhe Lin, Xu Tian
Source-Free Domain Adaptation for Millimeter Wave Radar Based Human Activity Recognition. ICASSP (2024)
Junbin Mao, Jin Liu, Hanhe Lin, Hulin Kuang, Yi Pan
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery. CoRR (2023)
Wei Lan, Yi Dong, Hongyu Zhang, Chunling Li, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen
Benchmarking of computational methods for predicting circRNA-disease associations. Briefings Bioinform. 24 (1) (2023)
Junwen Duan, Fei Guo, Jin Liu, Hongdong Li
Enhancing Database Principles Teaching with ChatGPT-Like Language Models. ICCSE (1) (2023)
Jin Liu, Jianchun Zhu, Xu Tian, Junbin Mao, Yi Pan
Multi-atlas Representations Based on Graph Convolutional Networks for Autism Spectrum Disorder Diagnosis. PRCV (13) (2023)
Hulin Kuang, Yahui Wang, Yixiong Liang, Jin Liu, Jianxin Wang
BEA-Net: Body and Edge Aware Network With Multi-Scale Short-Term Concatenation for Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Jianhong Cheng, Wei Zhao, Jin Liu, Xingzhi Xie, Shangjie Wu, Liangliang Liu, Hailin Yue, Junjian Li, Jianxin Wang, Jun Liu
Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Jianhong Cheng, Jin Liu, Hailin Yue, Harrison Bai, Yi Pan, Jianxin Wang
Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
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)
Jianhong Cheng, Jin Liu, Hulin Kuang, Jianxin Wang
A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping. IEEE Trans. Medical Imaging 41 (6) (2022)
Junjian Li, Jin Liu, Hailin Yue, Jianhong Cheng, Hulin Kuang, Harrison Bai, Yuping Wang, Jianxin Wang
DARC: Deep adaptive regularized clustering for histopathological image classification. Medical Image Anal. 80 (2022)
Jianhong Cheng, Min Gao, Jin Liu, Hailin Yue, Hulin Kuang, Jun Liu, Jianxin Wang
Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading. IEEE J. Biomed. Health Informatics 26 (2) (2022)
Xinyu Li, Jianhong Cheng, Jin Liu, Hulin Kuang, Chengchao Shen, Pei Yang, Jianxin Wang
MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status. BIBM (2022)
Wei Lan, Dehuan Lai, Qingfeng Chen, Ximin Wu, Baoshan Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen
LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Jianhong Cheng, Hulin Kuang, Qichang Zhao, Yahui Wang, Lei Xu, Jin Liu, Jianxin Wang
DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis. Future Gener. Comput. Syst. 135 (2022)
Wei Lan, Yi Dong, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen, Shirui Pan
IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Junbin Mao, Yu Sheng, Wei Lan, Xu Tian, Jin Liu, Yi Pan
Graph Convolutional Networks Based on Relational Attention Mechanism for Autism Spectrum Disorders Diagnosis. ICIRA (1) (2022)
Xu Tian, Jin Liu, Hulin Kuang, Yu Sheng, Jianxin Wang
MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation. CoRR (2022)
Wei Lan, Yi Dong, Qingfeng Chen, Ruiqing Zheng, Jin Liu, Yi Pan, Yi-Ping Phoebe Chen
KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network. Briefings Bioinform. 23 (1) (2022)
Jin Liu, Dejiao Zeng, Rui Guo, Mingming Lu, Fang-Xiang Wu, Jianxin Wang
MMHGE: detecting mild cognitive impairment based on multi-atlas multi-view hybrid graph convolutional networks and ensemble learning. Clust. Comput. 24 (1) (2021)
Qingfeng Chen, Dehuan Lai, Wei Lan, Ximin Wu, Baoshan Chen, Jin Liu, Yi-Ping Phoebe Chen, Jianxin Wang
ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Jin Liu, Yu Sheng, Wei Lan, Rui Guo, Yufei Wang, Jianxin Wang
Improved ASD classification using dynamic functional connectivity and multi-task feature selection. Pattern Recognit. Lett. 138 (2020)
Ximin Wu, Wei Lan, Qingfeng Chen, Yi Dong, Jin Liu, Wei Peng
Inferring LncRNA-disease associations based on graph autoencoder matrix completion. Comput. Biol. Chem. 87 (2020)
Jin Liu, Yi Pan, Fang-Xiang Wu, Jianxin Wang
Enhancing the feature representation of multi-modal MRI data by combining multi-view information for MCI classification. Neurocomputing 400 (2020)
Wei Lan, Mingrui Zhu, Qingfeng Chen, Baoshan Chen, Jin Liu, Min Li, Yi-Ping Phoebe Chen
CircR2Cancer: a manually curated database of associations between circRNAs and cancers. Database J. Biol. Databases Curation 2020 (2020)
Jin Liu, Guanxin Tan, Wei Lan, Jianxin Wang
Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks. BMC Bioinform. (6) (2020)
Jin Liu, Dejiao Zeng, Mingming Lu, Jianxin Wang
Mild Cognitive Impairment Identification Based on Multi-View Graph Convolutional Networks. CBD (2019)
Jianhong Cheng, Jin Liu, Liangliang Liu, Yi Pan, Jianxin Wang
Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution. BIBM (2019)
Qingfeng Chen, Canshang Deng, Wei Lan, Zhixian Liu, Ruiqing Zheng, Jin Liu, Jianxin Wang
Identifying Interactions Between Kinases and Substrates Based on Protein-Protein Interaction Network. J. Comput. Biol. 26 (8) (2019)
Yazhou Kong, Jianliang Gao, Yunpei Xu, Yi Pan, Jianxin Wang, Jin Liu
Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier. Neurocomputing 324 (2019)
Wei Lan, Jianxin Wang, Min Li, Jin Liu, Fang-Xiang Wu, Yi Pan
Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (6) (2018)
Jin Liu, Jianxin Wang, Zhenjun Tang, Bin Hu, Fang-Xiang Wu, Yi Pan
Improving Alzheimer's Disease Classification by Combining Multiple Measures. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (5) (2018)
Jin Liu, Yi Pan, Min Li, Ziyue Chen, Lu Tang, Chengqian Lu, Jianxin Wang
Applications of deep learning to MRI images: A survey. Big Data Min. Anal. 1 (1) (2018)
Jin Liu, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan, Jianxin Wang
Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (2) (2018)
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)
Jin Liu, Xiang Wang, Xiangrong Zhang, Yi Pan, Xiaosheng Wang, Jianxin Wang
MMM: classification of schizophrenia using multi-modality multi-atlas feature representation and multi-kernel learning. Multim. Tools Appl. 77 (22) (2018)
Wei Lan, Min Li, Kaijie Zhao, Jin Liu, Fang-Xiang Wu, Yi Pan, Jianxin Wang
LDAP: a web server for lncRNA-disease association prediction. Bioinform. 33 (3) (2017)
Jin Liu, Min Li, Yi Pan, Wei Lan, Ruiqing Zheng, Fang-Xiang Wu, Jianxin Wang
Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey. Complex. 2017 (2017)
Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yaohang Li, Fang-Xiang Wu, Yi Pan
Predicting drug-target interaction using positive-unlabeled learning. Neurocomputing 206 (2016)
Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yi Pan
Predicting microRNA-disease associations by integrating multiple biological information. BIBM (2015)