Estimation Distribution of Algorithm for Fuzzy Clustering Gene Expression Data. - Feng Liu; Juan Liu 007; Jing Feng 005; Huaibei Zhou (ICNC (2), 2006)

A Novel Clustering Method for Analysis of Gene Microarray Expression Data. - Fei Luo 004; Juan Liu 007 (BioDM, 2006)

Improved Variable Precision Rough Set Model and its Application to Distance Learning. - Ayad R. Abbas; Juan Liu 007; Safaa O. Mahdi (CIS, 2007)

Analysis on Time-lagged Gene Clusters in Time Series Gene Expression Data. - Tao Zeng 003; Juan Liu 007 (CIS, 2007)

Quantitative Prediction of MHC-II Peptide Binding Affinity Using Global Description of Peptide Sequences. - Wen Zhang 008; Juan Liu 007; Yanqing Niu; Lian Wang; Zhi Zhang (BMEI (1), 2008)

A Bayesian regression approach to the prediction of MHC-II binding affinity. - Wen Zhang 008; Juan Liu 007; Yanqing Niu; Lian Wang; Xihao Hu (Comput. Methods Programs Biomed., 2008)

Biological Pathway Conducting Microarray-Based Cancer Classification. - Tao Zeng 003; Fei Luo 004; Juan Liu 007 (BMEI, 2009)

Personalized SCORM Learning Experience Based on Rating Scale Model. - Ayad R. Abbas; Juan Liu 007 (ISNN (1), 2009)

Supporting E-Learning System with Modified Bayesian Rough Set Model. - Ayad R. Abbas; Juan Liu 007 (ISNN (2), 2009)

Design E-learning Recommendation System Using PIRT and VPRS Model. - Ayad R. Abbas; Juan Liu 007 (WISM, 2009)

Quantitative prediction of MHC-II peptide binding affinity using relevance vector machine. - Wen Zhang 008; Juan Liu 007; Yanqing Niu (Appl. Intell., 2009)

Discovering negative correlated gene sets from integrative gene expression data for cancer prognosis. - Tao Zeng 003; Xuan Guo; Juan Liu 007 (BIBM, 2010)

Mixture classification model based on clinical markers for breast cancer prognosis. - Tao Zeng 003; Juan Liu 007 (Artif. Intell. Medicine, 2010)

Quantitative prediction of MHC-II binding affinity using particle swarm optimization. - Wen Zhang 008; Juan Liu 007; Yanqing Niu (Artif. Intell. Medicine, 2010)

Discovering conditional co-regulated protein complexes by integrating diverse data sources. - Fei Luo 004; Juan Liu 007; Jinyan Li 001 (BMC Syst. Biol., 2010)

Prediction of Heme Binding Sites in Heme Proteins Using an Integrative Sequence Profile Coupling Evolutionary Information with Physicochemical Properties. - Yi Xiong 002; Wen Zhang 008; Tao Zeng 003; Juan Liu 007 (BIBM, 2011)

A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules. - Shi-Hua Zhang; Qingjiao Li; Juan Liu 007; Xianghong Jasmine Zhou (Bioinform., 2011)

Prediction of conformational B-cell epitopes from 3D structures by random forest with a distance-based feature. - Wen Zhang 008; Yi Xiong 002; Meng Zhao; Hua Zou; Xinghuo Ye; Juan Liu 007 (BMC Bioinform., 2011)

Predicting Binding-Peptide of HLA-I on Unknown Alleles by Integrating Sequence Information and Energies of Contact Residues. - Fei Luo 004; Yangyang Gao; Yongqiong Zhu; Juan Liu 007 (ICIC (3), 2012)

Predicting linear B-cell epitopes by using sequence-derived structural and physicochemical features. - Wen Zhang 008; Juan Liu 007; Meng Zhao; Qingjiao Li (Int. J. Data Min. Bioinform., 2012)

Predicting immunogenic T-cell epitopes by combining various sequence-derived features. - Wen Zhang 008; Juan Liu 007; Yi Xiong 002; Meng Ke; Ke Zhang (BIBM, 2013)

Integrating peptides' sequence and energy of contact residues information improves prediction of peptide and HLA-I binding with unknown alleles. - Fei Luo 004; Yangyang Gao; Yongqiong Zhu; Juan Liu 007 (BMC Bioinform., 2013)

MMSE: A generalized coherence measure for identifying linear patterns. - Shuhua Chen; Juan Liu 007; Tao Zeng 003 (BIBM, 2014)

Pairwise input neural network for target-ligand interaction prediction. - Caihua Wang; Juan Liu 007; Fei Luo 004; Yafang Tan; Zixin Deng; Qian-Nan Hu (BIBM, 2014)

Negative correlation based gene markers identification in integrative gene expression data. - Tao Zeng 003; Xuan Guo; Juan Liu 007 (Int. J. Data Min. Bioinform., 2014)

A novel two-stage method for identifying microRNA-gene regulatory modules in breast cancer. - Wenwen Min; Juan Liu 007; Fei Luo 004; Shi-Hua Zhang (BIBM, 2015)

Identification of phenotypic networks based on whole transcriptome by comparative network decomposition. - Chuanchao Zhang; Juan Liu 007; Qianqian Shi; Tao Zeng 003; Luonan Chen (BIBM, 2015)

Predicting target-ligand interactions using protein ligand-binding site and ligand substructures. - Caihua Wang; Juan Liu 007; Fei Luo 004; Zixing Deng; Qian-Nan Hu (BMC Syst. Biol., 2015)

Semi-supervised graph cut algorithm for drug repositioning by integrating drug, disease and genomic associations. - Guangsheng Wu; Juan Liu 007; Caihua Wang (BIBM, 2016)

Integration of multiple heterogeneous omics data. - Chuanchao Zhang; Juan Liu 007; Qianqian Shi; Xiangtian Yu; Tao Zeng 003; Luonan Chen (BIBM, 2016)

BioSynther: a customized biosynthetic potential explorer. - Weizhong Tu; Haoran Zhang; Juan Liu 007; Qian-Nan Hu (Bioinform., 2016)

L0-norm Sparse Graph-regularized SVD for Biclustering. - Wenwen Min; Juan Liu 007; Shi-Hua Zhang (CoRR, 2016)

Multi-fields model for predicting target-ligand interaction. - Caihua Wang; Juan Liu 007; Fei Luo 004; Qian-Nan Hu (Neurocomputing, 2016)

中文指代消解模型的对比研究 (Comparison of Chinese Anaphora Resolution Models). - Xuanyu Zhou; Juan Liu 007; Fei Luo 004; Yang Liu; Han Yan (计算机科学, 2016)

GMAlign: A new network aligner for revealing large conserved functional components. - Yuanyuan Zhu 001; Yuezhi Li; Juan Liu 007; Lu Qin 001; Jeffrey Xu Yu (BIBM, 2017)

Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data. - Qianqian Shi; Chuanchao Zhang; Minrui Peng; Xiangtian Yu; Tao Zeng 003; Juan Liu 007; Luonan Chen (Bioinform., 2017)

Comparative network stratification analysis for identifying functional interpretable network biomarkers. - Chuanchao Zhang; Juan Liu 007; Qianqian Shi; Tao Zeng 003; Luonan Chen (BMC Bioinform., 2017)

Differential function analysis: identifying structure and activation variations in dysregulated pathways. - Chuanchao Zhang; Juan Liu 007; Qianqian Shi; Tao Zeng 003; Luonan Chen (Sci. China Inf. Sci., 2017)

Sparse Weighted Canonical Correlation Analysis. - Wenwen Min; Juan Liu 007; Shihua Zhang (CoRR, 2017)

一种稀疏可控的主成分分析方法 (Sparse Controllable Principal Component Analysis Method). - Yafang Tan; Juan Liu 007; Caihua Wang; Wanwei Jiang (计算机科学, 2017)

SynBioEcoli: a comprehensive metabolism network of engineered E. coli in three dimensional visualization. - Weizhong Tu; Shaozhen Ding; Ling Wu; Zhe Deng; Hui Zhu 004; Xiaotong Xu; Chen Lin; Chaonan Ye; Minlu Han; Mengna Zhao; Juan Liu 007; Zixin Deng; et al. (Quant. Biol., 2017)

Edge-group sparse PCA for network-guided high dimensional data analysis. - Wenwen Min; Juan Liu 007; Shihua Zhang (Bioinform., 2018)

Group-sparse SVD Models and Their Applications in Biological Data. - Wenwen Min; Juan Liu 007; Shihua Zhang (CoRR, 2018)

Prediction of drug-disease treatment relations based on positive and unlabeled samples. - Guangsheng Wu; Juan Liu 007; Wenwen Min (J. Intell. Fuzzy Syst., 2018)

基于两步聚类和随机森林的乳腺腺管自动识别方法 (Automatic Recognition of Breast Gland Based on Two-step Clustering and Random Forest). - Shuai Wang; Juan Liu 007; Yaoyao Bi; Zhe Chen; Qunhua Zheng; Huifang Duan (计算机科学, 2018)

Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. - Wenwen Min; Juan Liu 007; Shihua Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

A Robust Approach to Locate HER2 and CEN17 Signals in Varied FISH Images. - Jiasheng Liu; Juan Liu 007; Yuqi Chen 007; Chunbing Hua; Zhuoyu Li; Zhiqun Zuo (BIBM, 2019)

Predicting Drug-Disease Treatment Associations Based on Topological Similarity and Singular Value Decomposition. - Guangsheng Wu; Juan Liu 007 (BIBM, 2019)

Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data. - Fangfang Zhu; Juan Liu 007; Wenwen Min (ICIC (2), 2019)

Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition. - Guangsheng Wu; Juan Liu 007; Xiang Yue (BMC Bioinform., 2019)

GPPIAL: A New Global PPI Network Aligner Based on Orthologs. - Yaoran Chen; Yuanyuan Zhu 001; Ming Zhong 002; Rong Peng; Juan Liu 007 (BIBM, 2020)

Multi-Class Metabolic Pathway Prediction by Graph Attention-Based Deep Learning Method. - Zhihui Yang; Juan Liu 007; Zeyu Wang; Yufan Wang; Jing Feng 005 (BIBM, 2020)

DAAT: A New Method to Train Convolutional Neural Network on Atrial Fibrillation Detection. - Jian Zhang; Juan Liu 007; Pei-Fang Li; Jing Feng 005 (ICIC (3), 2020)

TransMixNet: An Attention Based Double-Branch Model for White Blood Cell Classification and Its Training with the Fuzzified Training Data. - Hua Chen; Juan Liu 007; Chunbing Hua; Zhiqun Zuo; Jing Feng 005; Baochuan Pang; Di Xiao (BIBM, 2021)

COMNA: Core-attachment based protein complex detection via multiple network alignment. - Yaoran Chen; Yuanyuan Zhu 001; Ming Zhong 002; Juan Liu 007 (BIBM, 2021)

CytoBrain: Cervical Cancer Screening System Based on Deep Learning Technology. - Hua Chen; Juan Liu 007; Qing-Man Wen; Zhiqun Zuo; Jiasheng Liu; Jing Feng 005; Bao-Chuan Pang; Di Xiao (J. Comput. Sci. Technol., 2021)

Group-Sparse SVD Models via $L_1$L1- and $L_0$L0-norm Penalties and their Applications in Biological Data. - Wenwen Min; Juan Liu 007; Shihua Zhang (IEEE Trans. Knowl. Data Eng., 2021)

A Context-Guided Attention Method for Integrating Features of Histopathological Patches. - Yuqi Chen 007; Juan Liu 007; Peng Jiang; Jing Feng 005; Dehua Cao; Baochuan Pang (BIBM, 2022)

Predicting Tumor Mutation Burden of TNBC Based on Nuclei Scores of Histopathological Images. - Yuqi Chen 007; Juan Liu 007; Peng Jiang; Lang Wang; Baochuan Pang; Dehua Cao (BIBM, 2022)

Classifying Cervical Histopathological Whole Slide Images via Deep Multi-Instance Transfer Learning. - Peng Jiang; Juan Liu 007; Lang Wang; Jing Feng 005; Dehua Cao; Baochuan Pang (BIBM, 2022)

Cross-Attention Based Multi-Scale Feature Fusion Vision Transformer For Breast Ultrasound Image Classification. - Lele Li; Ziling Wu; Juan Liu 007; Lang Wang; Yu Jin; Peng Jiang; Jing Feng 005; Meng Wu (BIBM, 2022)

A Novel IoMT System for Pathological Diagnosis Based on Intelligent Mobile Scanner and Whole Slide Image Stitching Method. - Peng Jiang; Juan Liu 007; Di Xiao; Baochuan Pang; Zongjie Hao; Dehua Cao (ICIC (3), 2022)

Channel Spatial Collaborative Attention Network for Fine-Grained Classification of Cervical Cells. - Peng Jiang; Juan Liu 007; Hua Chen; Cheng Li; Baochuan Pang; Dehua Cao (ICONIP (6), 2022)

Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism. - Hua Chen; Juan Liu 007; Chunbing Hua; Jing Feng 005; Baochuan Pang; Dehua Cao; Cheng Li (BMC Bioinform., 2022)

A novel hybrid framework for metabolic pathways prediction based on the graph attention network. - Zhihui Yang; Juan Liu 007; Hayat Ali Shah; Jing Feng 005 (BMC Bioinform., 2022)

CNN-based two-branch multi-scale feature extraction network for retrosynthesis prediction. - Feng Yang; Juan Liu 007; Qiang Zhang 031; Zhihui Yang; Xiaolei Zhang (BMC Bioinform., 2022)

DeepRF: A deep learning method for predicting metabolic pathways in organisms based on annotated genomes. - Hayat Ali Shah; Juan Liu 007; Zhihui Yang; Xiaolei Zhang; Jing Feng 005 (Comput. Biol. Medicine, 2022)

Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification. - Peng Jiang; Juan Liu 007; Lang Wang; Zhihui Yang; Hongyu Dong; Jing Feng 005 (CoRR, 2022)

DSCC: a data set of cervical cell images for cervical cytology screening. - Hua Chen; Juan Liu 007; Yu Jin; Baochuan Pang; Dehua Cao; Di Xiao (Int. J. Data Min. Bioinform., 2022)

CSCD2: an integrated interactional database of cancer-specific circular RNAs. - Jing Feng 005; Wenbo Chen 006; Xin Dong; Jun Wang 154; Xiangfei Mei; Jin Deng; Siqi Yang; Chenjian Zhuo; Xiaoyu Huang; Lin Shao; Rongyu Zhang; Jing Guo; et al. (Nucleic Acids Res., 2022)

MSCCNet: Multi-Scale Convolution-Capsule Network for Cervical Cell Classification. - Hua Chen; Juan Liu 007; Peng Jiang; Yu Jin; Jing Feng 005; Baochuan Pang; Dehua Cao; Cheng Li (BIBM, 2023)

AMTL-RFC:A multi-task learning based method for evaluating the feasibility of enzymatic reactions. - Jianghang Liu; Juan Liu 007; Zhihui Yang; Feng Yang; Qiang Zhang 031 (BIBM, 2023)

SLPFA: Protein Structure-Label Embedding Attention Network for Protein Function Annotation. - Qiang Zhang 031; Juan Liu 007; Feng Yang; Zhihui Yang; Jing Feng 005 (BIBM, 2023)

Classifying Pathological Images Based on Multi-Instance Learning and End-to-End Attention Pooling. - Yuqi Chen 007; Juan Liu 007; Zhiqun Zuo; Peng Jiang; Yu Jin; Guangsheng Wu (ICASSP, 2023)

MASKED-AP: Attention Pyramid Convolutional Neural Network with Mask for Cervical Cell Classification. - Yu Jin; Juan Liu 007; Hua Chen; Wensi Duan; Dehua Cao; Baochuan Pang (ICASSP, 2023)

DDN: Dynamic Aggregation Enhanced Dual-Stream Network for Medical Image Classification. - Lang Wang; Juan Liu 007; Peng Jiang; Dehua Cao; Baochuan Pang (ICASSP, 2023)

LGVIT: Local-Global Vision Transformer for Breast Cancer Histopathological Image Classification. - Lang Wang; Juan Liu 007; Peng Jiang; Dehua Cao; Baochuan Pang (ICASSP, 2023)

DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks. - Hayat Ali Shah; Juan Liu 007; Zhihui Yang; Jing Feng 005 (ICIC (3), 2023)

Medical Knowledge Guided Intra-Specimen Reference Network for Cervical Cell Classification. - Peng Jiang; Juan Liu 007; Yuqi Chen 007; Hongyu Dong; Hua Chen; Baochuan Pang; Dehua Cao (ISBI, 2023)

Pyramid Shape-Aware Semi-supervised Learning for Thyroid Nodules Segmentation in Ultrasound Images. - Na Zhang; Juan Liu 007; Meng Wu (PRCV (5), 2023)

FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction. - Xuekai Zhu; Juan Liu 007; Jian Zhang; Zhihui Yang; Feng Yang; Xiaolei Zhang (Big Data Min. Anal., 2023)

Development of Automatic Portable Pathology Scanner and Its Evaluation for Clinical Practice. - Peng Jiang; Juan Liu 007; Qiang Luo; Baochuan Pang; Di Xiao; Dehua Cao (J. Digit. Imaging, 2023)

DeepRT: Predicting compounds presence in pathway modules and classifying into module classes using deep neural networks based on molecular properties. - Hayat Ali Shah; Juan Liu 007; Zhihui Yang; Feng Yang; Qiang Zhang 031; Jing Feng 005 (J. Bioinform. Comput. Biol., 2023)

FragDPI: a novel drug-protein interaction prediction model based on fragment understanding and unified coding. - Zhihui Yang; Juan Liu 007; Xuekai Zhu; Feng Yang; Qiang Zhang 031; Hayat Ali Shah (Frontiers Comput. Sci., 2023)

A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis. - Peng Jiang; Xuekong Li; Hui Shen; Yuqi Chen 007; Lang Wang; Hua Chen; Jing Feng 005; Juan Liu 007 (Artif. Intell. Rev., 2023)

An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images. - Na Zhang; Juan Liu 007; Yu Jin; Wensi Duan; Ziling Wu; Zhaohui Cai; Meng Wu (BMC Bioinform., 2023)

DCOAT: Dynamic Core-attachment based Protein Complex Detection. - Yaoran Chen; Difu Feng; Yuanyuan Zhu 001; Guojing Li; Ming Zhong 002; Tieyun Qian; Juan Liu 007 (BIBM, 2024)

Deconvolution of spatial transcriptomics data based on multi-head dynamic GAT and optimal transport. - Yuqi Chen 007; Feng Yang; Peng Jiang; Yuan Wang; Qiang Zhang 031; Juan Liu 007 (BIBM, 2024)

Subgraph-based Self-Supervised Learning Framework for Enzymatic Reaction Feasibility Prediction. - Feng Yang; Juan Liu 007; Qiang Zhang 031; Zhihui Yang; Jianghang Liu; Guangsheng Wu (BIBM, 2024)

BS2CL: Balanced Self-supervised Contrastive Learning for Thyroid Cytology Whole Slide Image Multi-classification. - Wensi Duan; Juan Liu 007; Lang Wang; Yu Jin; Peng Jiang; Cheng Li; Dehua Cao; Baochuan Pang (ICIC (7), 2024)

A Multi-scale Multivariate Time Series Classification Method Based on Bag of Patterns. - Yuxiao Wang; Ding Zhu; Juan Liu 007 (ICIC (LNAI 2), 2024)

Variable-Length Promoter Strength Prediction Based on Graph Convolution. - Tianqi Teng; Feng Yang; Qiang Zhang 031; Juan Liu 007 (ISBRA (1), 2024)

A dual-scale fused hypergraph convolution-based hyperedge prediction model for predicting missing reactions in genome-scale metabolic networks. - Weihong Huang; Feng Yang; Qiang Zhang 031; Juan Liu 007 (Briefings Bioinform., 2024)

Deconvolution of spatial transcriptomics data via graph contrastive learning and partial least square regression. - Yuanyuan Mo; Juan Liu 007; Lihua Zhang (Briefings Bioinform., 2024)

A novel multilevel iterative training strategy for the ResNet50 based mitotic cell classifier. - Yuqi Chen 007; Juan Liu 007; Peng Jiang; Yu Jin (Comput. Biol. Chem., 2024)

Advancing Drug-Target Interaction prediction with BERT and subsequence embedding. - Zhihui Yang; Juan Liu 007; Feng Yang; Xiaolei Zhang; Qiang Zhang 031; Xuekai Zhu; Peng Jiang (Comput. Biol. Chem., 2024)

Planning biosynthetic pathways of target molecules based on metabolic reaction prediction and AND-OR tree search. - Xiaolei Zhang; Juan Liu 007; Feng Yang; Qiang Zhang 031; Zhihui Yang; Hayat Ali Shah (Comput. Biol. Chem., 2024)

CRDet: A circle representation detector for lung granulomas based on multi-scale attention features with center point calibration. - Yu Jin; Juan Liu 007; Yuanyuan Zhou; Rong Chen; Hua Chen; Wensi Duan; Yuqi Chen 007; Xiao-Lian Zhang (Comput. Medical Imaging Graph., 2024)

Interpretable detector for cervical cytology using self-attention and cell origin group guidance. - Peng Jiang; Juan Liu 007; Jing Feng 005; Hua Chen; Yuqi Chen 007; Cheng Li; Baochuan Pang; Dehua Cao (Eng. Appl. Artif. Intell., 2024)

A multi-stream network for retrosynthesis prediction. - Qiang Zhang 031; Juan Liu 007; Wen Zhang 008; Feng Yang; Zhihui Yang; Xiaolei Zhang (Frontiers Comput. Sci., 2024)

Gtie-Rt: A comprehensive graph learning model for predicting drugs targeting metabolic pathways in human. - Hayat Ali Shah; Juan Liu 007; Zhihui Yang (J. Bioinform. Comput. Biol., 2024)