Jin Liu - RankMe

108 papers A* 3A 1Misc 2Journal 67Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive momentum enhanced second-order stochastic federated learning. Neurocomputing Jiahao Zhang, Xiaokang Pan, Jin Liu, Zhe Qu
2026	J	`jnl`	BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images With Conditional Latent Diffusion Models. IEEE J. Biomed. Health Informatics Yifei Sun, Zhanghao Chen, Hao Zheng, Wenming Deng, Jin Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang, Ruiquan Ge
2026	J	`jnl`	Deep Imputation Bi-Stochastic Graph Regularized Matrix Factorization for Clustering Single-Cell RNA-Sequencing Data. IEEE Trans. Comput. Biol. Bioinform. Wei Lan, Jianwei Chen, Mingyang Liu, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen
2026	J	`jnl`	Integrating spatial features and dynamically learned temporal features via contrastive learning for video temporal grounding in LLM. Image Vis. Comput. Peifu Wang, Yixiong Liang, Yigang Cen, Lihui Cen, Zhe Qu, Jin Liu, Shichao Kan
2026	J	`jnl`	Optimizing Power With Reconfigurable Intelligent Surfaces for Indoor Communication Networks. IEEE Trans. Wirel. Commun. Yuyin Ma, Kaoru Ota, Mianxiong Dong, Shengwei Tian, Jin Liu
2026	J	`jnl`	Semi-Supervised Learning with Adaptive Pseudo-Label Selection and Correction for Predicting Overall Survival Time of Esophageal Cancer. Big Data Min. Anal. Hailin Yue, Hulin Kuang, Jin Liu, Junjian Li, Jie Zhu, Xiaoding Zhou, Pei Yang, Qifeng Wang, Jianxin Wang
2026	J	`jnl`	VC-Bench: Pioneering the Video Connecting Benchmark with a Dataset and Evaluation Metrics. CoRR Zhiyu Yin, Zhipeng Liu, Kehai Chen, Lemao Liu, Jin Liu, Hong-Dong Li, Yang Xiang, Min Zhang
2025	J	`jnl`	A Cervical Cell Classification Framework Based on Multiview Supervised Contrastive Learning. IEEE Trans. Artif. Intell. Ming Fang, Jin Liu, Francis Bui, Bo Liao, Xiujuan Lei, Fang-Xiang Wu
2025	A*	`conf`	A Survey on the Feedback Mechanism of LLM-based AI Agents. IJCAI Zhipeng Liu, Xuefeng Bai, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong-Dong Li, Yaowei Wang, Liqiang Nie, Min Zhang
2025	J	`jnl`	ASurvey: Spatiotemporal Consistency in Video Generation. CoRR Zhiyu Yin, Kehai Chen, Xuefeng Bai, Ruili Jiang, Juntao Li, Hongdong Li, Jin Liu, Yang Xiang, Jun Yu, Min Zhang
2025	J	`jnl`	Asymmetric patch sampling for contrastive learning. Pattern Recognit. Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang
2025	J	`jnl`	CA IEEE J. Biomed. Health Informatics Junjian Li, Hulin Kuang, Jin Liu, Hailin Yue, Jianxin Wang
2025	J	`jnl`	CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification. CoRR Ludi Li, Junbin Mao, Hanhe Lin, Xu Tian, Fang-Xiang Wu, Jin Liu
2025	J	`jnl`	CFINet: Cross-Modality MRI Feature Interaction Network for Pseudoprogression Prediction of Glioblastoma. J. Comput. Biol. Ya Lv, Jin Liu, Xu Tian, Pei Yang, Yi Pan
2025	J	`jnl`	Dynamic Association Optimization in RIS-Enabled Mobile Wireless Systems. IEEE Wirel. Commun. Lett. Yuyin Ma, Kaoru Ota, Mianxiong Dong, Shengwei Tian, Jin Liu
2025	J	`jnl`	Fusion of brain imaging genetic data for alzheimer's disease diagnosis and causal factors identification using multi-stream attention mechanisms and graph convolutional networks. Neural Networks Wei Peng, Yanhan Ma, Chunshan Li, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Jin Liu
2025	—	`conf`	GMReg: Group Mamba Correlation Based Pyramid Network with Edge Enhancement for Medical Image Registration. BIBM Hulin Kuang, Guangheng Wu, Jin Liu, Zhe Qu, Shichao Kan, Jie Wang
2025	J	`jnl`	Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis. Neural Networks Xu Tian, Hong-Dong Li, Hanhe Lin, Chao Li, Yu-Ping Wang, Harrison X. Bai, Wei Lan, Jin Liu
2025	J	`jnl`	Large vessel occlusion identification network with vessel guidance and asymmetry learning on CT angiography of acute ischemic stroke patients. Medical Image Anal. Hulin Kuang, Xinyuan Liu, Jin Liu, Shulin Liu, Shuai Yang, Weihua Liao, Wu Qiu, Guanghua Luo, Jianxin Wang
2025	J	`jnl`	Multi-Modal Multi-Kernel Graph Learning for Autism Prediction and Biomarker Discovery. IEEE Trans. Comput. Biol. Bioinform. Jin Liu, Junbin Mao, Hanhe Lin, Hulin Kuang, Shirui Pan, Xusheng Wu, Shan Xie, Fei Liu, Yi Pan
2025	J	`jnl`	Multi-Scale Adaptive Graph Learning Based on Multi-Wave EEG Data for Dementia Diagnosis. Big Data Min. Anal. Jiaxin Wei, Bin Jiao, Hanhe Lin, Xu Tian, Lu Shen, Jin Liu
2025	—	`conf`	Multimodal Foundation Model Adaptation with Clinical Knowledge Guidance for IDH Genotyping. BIBM Hulin Kuang, Yingxu Chen, Jin Liu, Jie Wang, Zhe Qu, Shichao Kan
2025	—	`conf`	Radar-Based Cross-Environment Unsupervised Domain Adaptation for Human Activity Recognition. BIBM Ludi Li, Jin Liu, Hanhe Lin, Xu Tian, Mingzi Yuan, Jianchun Zhu, Jianxin Wang
2025	J	`jnl`	Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI. Big Data Min. Anal. Jianhong Cheng, Hulin Kuang, Songhan Yang, Hailin Yue, Jin Liu, Jianxin Wang
2025	A*	`conf`	Stability and Generalization for Stochastic (Compositional) Optimizations. IJCAI Xiaokang Pan, Jin Liu, Hulin Kuang, Youqi Li, Lixing Chen, Zhe Qu
2025	—	`conf`	Tetra-Orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading. MICCAI (10) Xinyu Li, Jin Liu, Hulin Kuang, Yuanzhuo Wang, Jianxin Wang
2025	J	`jnl`	Toward Integrating Federated Learning With Split Learning via Spatio-Temporal Graph Framework for Brain Disease Prediction. IEEE Trans. Medical Imaging Junbin Mao, Jin Liu, Xu Tian, Yi Pan, Emanuele Trucco, Hanhe Lin
2025	—	`conf`	VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images DenoisingYue, HailinKuang, HulinMa, LeiLiu, JinLi, JunjianCheng, JianhongWang, Jianxin. MICCAI (13) Hailin Yue, Hulin Kuang, Lei Ma, Jin Liu, Junjian Li, Jianhong Cheng, Jianxin Wang
2024	—	`conf`	A Novel Dual Interactive Network for Parkinson's Disease Diagnosis Based on Multi-modality Magnetic Resonance Imaging. ISBRA (2) Jin Liu, Hao Du, Junbin Mao, Jianchun Zhu, Xu Tian
2024	—	`conf`	A Novel Method for Autism Identification Based on Multi-atlas Features Fusion and Graph Neural Network. PRCV (2) Palidan Tuerxun, Jian Gu, Jiaying Chen, Xinhui Li, Yue Hu, Jin Liu, Yurong Qian
2024	J	`jnl`	BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models. CoRR Yifei Sun, Zhanghao Chen, Hao Zheng, Wenming Deng, Jin Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang, Ruiquan Ge
2024	J	`jnl`	CAKE: a flexible self-supervised framework for enhancing cell visualization, clustering and rare cell identification. Briefings Bioinform. Jin Liu, Weixing Zeng, Shichao Kan, Min Li, Ruiqing Zheng
2024	—	`conf`	DP-BERT: a pre-trained deep language model for depression prediction using microarray data. BIBM Junyu Gao, Min Zeng, Yiming Li, Fang Wang, Ruiqing Zheng, Jin Liu, Fei Guo, Min Li
2024	J	`jnl`	Diagnosis of Parkinson's Disease Based on Hybrid Fusion Approach of Offline Handwriting Images. IEEE Signal Process. Lett. Shanyu Dong, Jin Liu, Jianxin Wang
2024	—	`conf`	EP-Net: Automatic Artery/Vein Classification With Evidential Probability Map. BIBM Rongchang Zhao, Bo Xu, Xiaoliang Jia, Jin Liu
2024	J	`jnl`	Enhancing ASD classification through hybrid attention-based learning of facial features. Signal Image Video Process. Inzamam Shahzad, Saif Ur Rehman Khan, Waseem Abbas, Zain U. I. Abideen, Jin Liu
2024	A*	`conf`	Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization. AAAI Jin Liu, Xiaokang Pan, Junwen Duan, Hongdong Li, Youqi Li, Zhe Qu
2024	J	`jnl`	Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. Rui Guo, Xu Tian, Hanhe Lin, Stephen J. McKenna, Hong-Dong Li, Fei Guo, Jin Liu
2024	J	`jnl`	Hybrid CNN-Transformer Network With Circular Feature Interaction for Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans. IEEE Trans. Medical Imaging Hulin Kuang, Yahui Wang, Jin Liu, Jie Wang, Quanliang Cao, Bo Hu, Wu Qiu, Jianxin Wang
2024	J	`jnl`	MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis. IEEE Trans. Comput. Soc. Syst. Jin Liu, Hao Du, Rui Guo, Harrison X. Bai, Hulin Kuang, Jianxin Wang
2024	J	`jnl`	Multi-Task Learning for Alzheimer's Disease Diagnosis and Mini-Mental State Examination Score Prediction. Big Data Min. Anal. Jin Liu, Xu Tian, Hanhe Lin, Hong-Dong Li, Yi Pan
2024	A	`conf`	Pre-trained Feature Fusion and Matching for Mild Cognitive Impairment Detection. INTERSPEECH Junwen Duan, Fangyuan Wei, Hong-Dong Li, Jin Liu
2024	Misc	`conf`	Source-Free Domain Adaptation for Millimeter Wave Radar Based Human Activity Recognition. ICASSP Jin Liu, Dejiao Zeng, Ludi Li, Hanhe Lin, Xu Tian
2024	—	`conf`	UniSleepPos: Sleep Posture Identification System Utilizing Millimeter-wave Radar. BIBM Kun Liu, Min Li, Chu He, Xu Tian, Junbin Mao, Min Zeng, Jin Liu
2024	—	`conf`	scCoRR: A Data-Driven Self-correction Framework for Labeled scRNA-Seq Data. ISBRA (2) Yongxin He, Jin Liu, Min Li, Ruiqing Zheng
2024	J	`jnl`	scMLC: an accurate and robust multiplex community detection method for single-cell multi-omics data. Briefings Bioinform. Yuxuan Chen, Ruiqing Zheng, Jin Liu, Min Li
2023	—	`conf`	A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer. BIBM Hailin Yue, Jin Liu, Hulin Kuang, Jianhong Cheng, Junjian Li, Jianxin Wang
2023	J	`jnl`	Asymmetric Patch Sampling for Contrastive Learning. CoRR Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang
2023	J	`jnl`	BEA-Net: Body and Edge Aware Network With Multi-Scale Short-Term Concatenation for Medical Image Segmentation. IEEE J. Biomed. Health Informatics Hulin Kuang, Yahui Wang, Yixiong Liang, Jin Liu, Jianxin Wang
2023	J	`jnl`	Benchmarking of computational methods for predicting circRNA-disease associations. Briefings Bioinform. Wei Lan, Yi Dong, Hongyu Zhang, Chunling Li, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen
2023	J	`jnl`	Breaking the Complexity Barrier in Compositional Minimax Optimization. CoRR Jin Liu, Xiaokang Pan, Junwen Duan, Hongdong Li, Youqi Li, Zhe Qu
2023	—	`conf`	CDA: A Contrastive Data Augmentation Method for Alzheimer's Disease Detection. ACL (Findings) Junwen Duan, Fangyuan Wei, Jin Liu, Hongdong Li, Tianming Liu, Jianxin Wang
2023	—	`conf`	Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation. BIBM Chenhui Wang, Hulin Kuang, Jin Liu, Junjian Li, Hailin Yue, Jianxin Wang
2023	—	`conf`	Enhancing Database Principles Teaching with ChatGPT-Like Language Models. ICCSE (1) Junwen Duan, Fei Guo, Jin Liu, Hongdong Li
2023	—	`conf`	FedGST: Federated Graph Spatio-Temporal Framework for Brain Functional Disease Prediction. BIBM Junbin Mao, Hanhe Lin, Xu Tian, Yi Pan, Jin Liu
2023	—	`conf`	Improving Medical Image Denoising via a Lightweight Plug-and-play Module. BIBM Lei Ma, Hulin Kuang, Jin Liu, Chengchao Shen, Jianxin Wang
2023	—	`conf`	M BIBM Jingxiao Yao, Jin Liu, Jianhong Cheng, Hulin Kuang, Jian-Xin Wang
2023	—	`conf`	Multi-atlas Representations Based on Graph Convolutional Networks for Autism Spectrum Disorder Diagnosis. PRCV (13) Jin Liu, Jianchun Zhu, Xu Tian, Junbin Mao, Yi Pan
2023	J	`jnl`	Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery. CoRR Junbin Mao, Jin Liu, Hanhe Lin, Hulin Kuang, Shirui Pan, Yi Pan
2023	—	`conf`	Training Methods of Innovative Talents in Medical Imaging Informatics Under the Background of New Engineering. ICCSE (3) Jin Liu, Qian Bi, Ping Zhong, Hong-Dong Li, Fei Guo, Junwen Duan
2022	J	`jnl`	A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping. IEEE Trans. Medical Imaging Jianhong Cheng, Jin Liu, Hulin Kuang, Jianxin Wang
2022	J	`jnl`	Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images. IEEE ACM Trans. Comput. Biol. Bioinform. Jianhong Cheng, Wei Zhao, Jin Liu, Xingzhi Xie, Shangjie Wu, Liangliang Liu, Hailin Yue, Junjian Li, Jianxin Wang, Jun Liu
2022	J	`jnl`	DARC: Deep adaptive regularized clustering for histopathological image classification. Medical Image Anal. Junjian Li, Jin Liu, Hailin Yue, Jianhong Cheng, Hulin Kuang, Harrison X. Bai, Yu-Ping Wang, Jianxin Wang
2022	J	`jnl`	DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis. Future Gener. Comput. Syst. Jianhong Cheng, Hulin Kuang, Qichang Zhao, Yahui Wang, Lei Xu, Jin Liu, Jianxin Wang
2022	—	`conf`	Graph Convolutional Networks Based on Relational Attention Mechanism for Autism Spectrum Disorders Diagnosis. ICIRA (1) Junbin Mao, Yu Sheng, Wei Lan, Xu Tian, Jin Liu, Yi Pan
2022	—	`ed.`	IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022 BIBM Donald A. Adjeroh, Qi Long, Xinghua Mindy Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda Mondal, Jin Liu
2022	J	`jnl`	IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Lan, Yi Dong, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen, Shirui Pan
2022	J	`jnl`	Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder. Comput. Biol. Medicine Fangyu Zhang, Yanjie Wei, Jin Liu, Yanlin Wang, Wenhui Xi, Yi Pan
2022	J	`jnl`	Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder. CoRR Fangyu Zhang, Yanjie Wei, Jin Liu, Yanlin Wang, Wenhui Xi, Yi Pan
2022	J	`jnl`	Inferring gene regulatory network via fusing gene expression image and RNA-seq data. Bioinform. Xuejian Li, Shiqiang Ma, Jin Liu, Jijun Tang, Fei Guo
2022	—	`conf`	Integrating Multi-scale Feature Representation and Ensemble Learning for Schizophrenia Diagnosis. BIBM Manna Xiao, Hulin Kuang, Jin Liu, Yan Zhang, Yizhen Xiang, Jianxin Wang
2022	J	`jnl`	KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network. Briefings Bioinform. Wei Lan, Yi Dong, Qingfeng Chen, Ruiqing Zheng, Jin Liu, Yi Pan, Yi-Ping Phoebe Chen
2022	J	`jnl`	LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Lan, Dehuan Lai, Qingfeng Chen, Ximin Wu, Baoshan Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen
2022	J	`jnl`	MAGE: Automatic diagnosis of autism spectrum disorders using multi-atlas graph convolutional networks and ensemble learning. Neurocomputing Yufei Wang, Jin Liu, Yizhen Xiang, Jianxin Wang, Qingyong Chen, Jing Chong
2022	—	`conf`	MEST: Multi-plane Embedding and Spatial-temporal Transformer for Parkinson's disease diagnosis. BIBM Jin Liu, Hao Du, Qian Bi, Haiyan Liao, Yi Pan
2022	J	`jnl`	MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images. Medical Image Anal. Hailin Yue, Jin Liu, Junjian Li, Hulin Kuang, Jinyi Lang, Jianhong Cheng, Lin Peng, Yongtao Han, Harrison X. Bai, Yu-Ping Wang, Qifeng Wang, Jianxin Wang
2022	—	`conf`	MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status. BIBM Xinyu Li, Jianhong Cheng, Jin Liu, Hulin Kuang, Chengchao Shen, Pei Yang, Jianxin Wang
2022	J	`jnl`	Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading. IEEE J. Biomed. Health Informatics Jianhong Cheng, Min Gao, Jin Liu, Hailin Yue, Hulin Kuang, Jun Liu, Jianxin Wang
2022	J	`jnl`	Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images. IEEE ACM Trans. Comput. Biol. Bioinform. Jianhong Cheng, Jin Liu, Hailin Yue, Harrison X. Bai, Yi Pan, Jianxin Wang
2021	—	`conf`	A New Deep Learning Training Scheme: Application to Biomedical Data. ISBRA Jianhong Cheng, Qichang Zhao, Lei Xu, Jin Liu
2021	—	`conf`	ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention. BIBM Lei Xu, Jianhong Cheng, Jin Liu, Hulin Kuang, Fan Wu, Jianxin Wang
2021	—	`conf`	BEA-SegNet: Body and Edge Aware Network for Medical Image Segmentation. BIBM Hulin Kuang, Yixiong Liang, Ning Liu, Jin Liu, Jianxin Wang
2021	J	`jnl`	ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. Qingfeng Chen, Dehuan Lai, Wei Lan, Ximin Wu, Baoshan Chen, Jin Liu, Yi-Ping Phoebe Chen, Jianxin Wang
2021	J	`jnl`	MMHGE: detecting mild cognitive impairment based on multi-atlas multi-view hybrid graph convolutional networks and ensemble learning. Clust. Comput. Jin Liu, Dejiao Zeng, Rui Guo, Mingming Lu, Fang-Xiang Wu, Jianxin Wang
2021	—	`conf`	MTFIL-Net: automated Alzheimer's disease detection and MMSE score prediction based on feature interactive learning. BIBM Jin Liu, Xu Tian, Jianxin Wang, Rui Guo, Hulin Kuang
2021	Misc	`conf`	Prediction of Egfr Mutation Status in Lung Adenocarcinoma Using Multi-Source Feature Representations. ICASSP Jianhong Cheng, Jin Liu, Meilin Jiang, Hailin Yue, Lin Wu, Jianxin Wang
2021	J	`jnl`	Prediction of circRNA-miRNA Associations Based on Network Embedding. Complex. Wei Lan, Mingrui Zhu, Qingfeng Chen, Jianwei Chen, Jin Ye, Jin Liu, Wei Peng, Shirui Pan
2021	—	`conf`	Reform and Practice of Open Teaching Mode Based on Innovation Ability Training. ICCSE Guihua Duan, Yu Sheng, Ping Zhong, Jin Liu, Hongdong Li, Ying An
2020	J	`jnl`	CircR2Cancer: a manually curated database of associations between circRNAs and cancers. Database J. Biol. Databases Curation Wei Lan, Mingrui Zhu, Qingfeng Chen, Baoshan Chen, Jin Liu, Min Li, Yi-Ping Phoebe Chen
2020	J	`jnl`	Enhancing the feature representation of multi-modal MRI data by combining multi-view information for MCI classification. Neurocomputing Jin Liu, Yi Pan, Fang-Xiang Wu, Jianxin Wang
2020	J	`jnl`	Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks. BMC Bioinform. Jin Liu, Guanxin Tan, Wei Lan, Jianxin Wang
2020	J	`jnl`	Improved ASD classification using dynamic functional connectivity and multi-task feature selection. Pattern Recognit. Lett. Jin Liu, Yu Sheng, Wei Lan, Rui Guo, Yufei Wang, Jianxin Wang
2020	J	`jnl`	Inferring LncRNA-disease associations based on graph autoencoder matrix completion. Comput. Biol. Chem. Ximin Wu, Wei Lan, Qingfeng Chen, Yi Dong, Jin Liu, Wei Peng
2020	—	`conf`	Joint Learning of Primary and Secondary Labels based on Multi-scale Representation for Alzheimer's Disease Diagnosis. BIBM Hong-Dong Li, Rui Guo, Junjian Li, Jianxin Wang, Yi Pan, Jin Liu
2019	J	`jnl`	Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier. Neurocomputing Yazhou Kong, Jianliang Gao, Yunpei Xu, Yi Pan, Jianxin Wang, Jin Liu
2019	J	`jnl`	Identifying Interactions Between Kinases and Substrates Based on Protein-Protein Interaction Network. J. Comput. Biol. Qingfeng Chen, Canshang Deng, Wei Lan, Zhixian Liu, Ruiqing Zheng, Jin Liu, Jianxin Wang
2019	—	`conf`	Mild Cognitive Impairment Identification Based on Multi-View Graph Convolutional Networks. CBD Jin Liu, Dejiao Zeng, Mingming Lu, Jianxin Wang
2019	—	`conf`	Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution. BIBM Jianhong Cheng, Jin Liu, Liangliang Liu, Yi Pan, Jianxin Wang
2018	J	`jnl`	Applications of deep learning to MRI images: A survey. Big Data Min. Anal. Jin Liu, Yi Pan, Min Li, Ziyue Chen, Lu Tang, Chengqian Lu, Jianxin Wang
2018	J	`jnl`	Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network. IEEE ACM Trans. Comput. Biol. Bioinform. Jin Liu, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2018	J	`jnl`	Improving Alzheimer's Disease Classification by Combining Multiple Measures. IEEE ACM Trans. Comput. Biol. Bioinform. Jin Liu, Jianxin Wang, Zhenjun Tang, Bin Hu, Fang-Xiang Wu, Yi Pan
2018	—	`conf`	KSIBW: Predicting Kinase-Substrate Interactions Based on Bi-random Walk. ISBRA Canshang Deng, Qingfeng Chen, Zhixian Liu, Ruiqing Zheng, Jin Liu, Jianxin Wang, Wei Lan
2018	J	`jnl`	MMM: classification of schizophrenia using multi-modality multi-atlas feature representation and multi-kernel learning. Multim. Tools Appl. Jin Liu, Xiang Wang, Xiangrong Zhang, Yi Pan, Xiaosheng Wang, Jianxin Wang
2018	J	`jnl`	Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Lan, Jianxin Wang, Min Li, Jin Liu, Fang-Xiang Wu, Yi Pan
2017	J	`jnl`	Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey. Complex. Jin Liu, Min Li, Yi Pan, Wei Lan, Ruiqing Zheng, Fang-Xiang Wu, Jianxin Wang
2017	J	`jnl`	LDAP: a web server for lncRNA-disease association prediction. Bioinform. Wei Lan, Min Li, Kaijie Zhao, Jin Liu, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2016	J	`jnl`	Predicting drug-target interaction using positive-unlabeled learning. Neurocomputing Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yaohang Li, Fang-Xiang Wu, Yi Pan
2015	—	`conf`	Predicting microRNA-disease associations by integrating multiple biological information. BIBM Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yi Pan