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Juan Liu 0007
Juliet Juan Liu
Person information
- affiliation: Wuhan University, School of Computer Science, Institute of Artificial Intelligence, China
Other persons with the same name
- Juan Liu — disambiguation page
- Juan Liu 0001
— Xinjiang University, College of Mathematics Sciences, Urumqi, China
- Juan Liu 0002
- Juan Liu 0003
- Juan Liu 0004
- Juan Liu 0005
- Juan Liu 0006
- Juan Liu 0008
- Juan Liu 0009 — Google Inc, New York, NY, USA (and 1 more)
- Juan Liu 0010
- Juan Liu 0011
- Juan Liu 0012 — Palo Alto Research Center, CA, USA (and 1 more)
- Juan Liu 0013
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2020 – today
- 2024
- [j45]Weihong Huang, Feng Yang, Qiang Zhang
A dual-scale fused hypergraph convolution-based hyperedge prediction model for predicting missing reactions in genome-scale metabolic networks. Briefings Bioinform. 25(5) (2024) - [j44]Zhihui Yang, Juan Liu
Advancing Drug-Target Interaction prediction with BERT and subsequence embedding. Comput. Biol. Chem. 110: 108058 (2024) - [j43]Yuqi Chen, Juan Liu
A novel multilevel iterative training strategy for the ResNet50 based mitotic cell classifier. Comput. Biol. Chem. 110: 108092 (2024) - [j42]Xiaolei Zhang
Planning biosynthetic pathways of target molecules based on metabolic reaction prediction and AND-OR tree search. Comput. Biol. Chem. 111: 108106 (2024) - [j41]Yu Jin, Juan Liu
CRDet: A circle representation detector for lung granulomas based on multi-scale attention features with center point calibration. Comput. Medical Imaging Graph. 113: 102354 (2024) - [j40]Peng Jiang, Juan Liu
Interpretable detector for cervical cytology using self-attention and cell origin group guidance. Eng. Appl. Artif. Intell. 134: 108661 (2024) - [j39]Hayat Ali Shah
Gtie-Rt: A comprehensive graph learning model for predicting drugs targeting metabolic pathways in human. J. Bioinform. Comput. Biol. 22(3): 2450010:1-2450010:21 (2024) - [c46]Wensi Duan, Juan Liu
BS2CL: Balanced Self-supervised Contrastive Learning for Thyroid Cytology Whole Slide Image Multi-classification. ICIC (7) 2024: 41-52 - [c45]Yuxiao Wang, Ding Zhu, Juan Liu
A Multi-scale Multivariate Time Series Classification Method Based on Bag of Patterns. ICIC (LNAI 2) 2024: 269-280 - [c44]Tianqi Teng, Feng Yang, Qiang Zhang, Juan Liu
Variable-Length Promoter Strength Prediction Based on Graph Convolution. ISBRA (1) 2024: 310-321 - 2023
- [j38]Peng Jiang
A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis. Artif. Intell. Rev. 56(S2): 2687-2758 (2023) - [j37]Xuekai Zhu, Juan Liu, Jian Zhang, Zhihui Yang, Feng Yang
FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction. Big Data Min. Anal. 6(1): 1-10 (2023) - [j36]Na Zhang, Juan Liu, Yu Jin, Wensi Duan, Ziling Wu, Zhaohui Cai, Meng Wu:
An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images. BMC Bioinform. 24(1): 315 (2023) - [j35]Zhihui Yang, Juan Liu, Xuekai Zhu, Feng Yang, Qiang Zhang, Hayat Ali Shah:
FragDPI: a novel drug-protein interaction prediction model based on fragment understanding and unified coding. Frontiers Comput. Sci. 17(5): 175903 (2023) - [j34]Hayat Ali Shah, Juan Liu, Zhihui Yang, Feng Yang, Qiang Zhang, Jing Feng:
DeepRT: Predicting compounds presence in pathway modules and classifying into module classes using deep neural networks based on molecular properties. J. Bioinform. Comput. Biol. 21(4): 2350017:1-2350017:20 (2023) - [j33]Peng Jiang
Development of Automatic Portable Pathology Scanner and Its Evaluation for Clinical Practice. J. Digit. Imaging 36(3): 1110-1122 (2023) - [c43]Qiang Zhang, Juan Liu, Feng Yang, Zhihui Yang, Jing Feng:
SLPFA: Protein Structure-Label Embedding Attention Network for Protein Function Annotation. BIBM 2023: 82-87 - [c42]Hua Chen, Juan Liu, Peng Jiang, Yu Jin, Jing Feng, Baochuan Pang, Dehua Cao, Cheng Li:
MSCCNet: Multi-Scale Convolution-Capsule Network for Cervical Cell Classification. BIBM 2023: 1842-1845 - [c41]Yuqi Chen, Juan Liu, Zhiqun Zuo, Peng Jiang
Classifying Pathological Images Based on Multi-Instance Learning and End-to-End Attention Pooling. ICASSP 2023: 1-5 - [c40]Yu Jin, Juan Liu, Hua Chen, Wensi Duan, Dehua Cao, Baochuan Pang:
MASKED-AP: Attention Pyramid Convolutional Neural Network with Mask for Cervical Cell Classification. ICASSP 2023: 1-5 - [c39]Lang Wang, Juan Liu, Peng Jiang
DDN: Dynamic Aggregation Enhanced Dual-Stream Network for Medical Image Classification. ICASSP 2023: 1-5 - [c38]Lang Wang, Juan Liu, Peng Jiang
LGVIT: Local-Global Vision Transformer for Breast Cancer Histopathological Image Classification. ICASSP 2023: 1-5 - [c37]Hayat Ali Shah, Juan Liu
DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks. ICIC (3) 2023: 428-446 - [c36]Peng Jiang
Medical Knowledge Guided Intra-Specimen Reference Network for Cervical Cell Classification. ISBI 2023: 1-5 - [c35]Na Zhang, Juan Liu, Meng Wu:
Pyramid Shape-Aware Semi-supervised Learning for Thyroid Nodules Segmentation in Ultrasound Images. PRCV (5) 2023: 407-418 - 2022
- [j32]Hua Chen, Juan Liu, Chunbing Hua, Jing Feng, Baochuan Pang, Dehua Cao, Cheng Li:
Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism. BMC Bioinform. 23(1): 282 (2022) - [j31]Feng Yang, Juan Liu, Qiang Zhang, Zhihui Yang, Xiaolei Zhang:
CNN-based two-branch multi-scale feature extraction network for retrosynthesis prediction. BMC Bioinform. 23(1): 362 (2022) - [j30]Zhihui Yang, Juan Liu
A novel hybrid framework for metabolic pathways prediction based on the graph attention network. BMC Bioinform. 23-S(5): 329 (2022) - [j29]Hayat Ali Shah, Juan Liu
DeepRF: A deep learning method for predicting metabolic pathways in organisms based on annotated genomes. Comput. Biol. Medicine 147: 105756 (2022) - [j28]Hua Chen, Juan Liu, Yu Jin, Baochuan Pang, Dehua Cao, Di Xiao:
DSCC: a data set of cervical cell images for cervical cytology screening. Int. J. Data Min. Bioinform. 27(1/2/3): 171-186 (2022) - [j27]Jing Feng, Wenbo Chen
CSCD2: an integrated interactional database of cancer-specific circular RNAs. Nucleic Acids Res. 50(D1): 1179-1183 (2022) - [c34]Yuqi Chen, Juan Liu, Peng Jiang
Predicting Tumor Mutation Burden of TNBC Based on Nuclei Scores of Histopathological Images. BIBM 2022: 936-941 - [c33]Lele Li, Ziling Wu, Juan Liu, Lang Wang, Yu Jin, Peng Jiang
Cross-Attention Based Multi-Scale Feature Fusion Vision Transformer For Breast Ultrasound Image Classification. BIBM 2022: 1616-1619 - [c32]Yuqi Chen, Juan Liu, Peng Jiang
A Context-Guided Attention Method for Integrating Features of Histopathological Patches. BIBM 2022: 2281-2286 - [c31]Peng Jiang
Classifying Cervical Histopathological Whole Slide Images via Deep Multi-Instance Transfer Learning. BIBM 2022: 2302-2307 - [c30]Peng Jiang
A Novel IoMT System for Pathological Diagnosis Based on Intelligent Mobile Scanner and Whole Slide Image Stitching Method. ICIC (3) 2022: 463-472 - [c29]Peng Jiang
Channel Spatial Collaborative Attention Network for Fine-Grained Classification of Cervical Cells. ICONIP (6) 2022: 540-551 - [i5]Peng Jiang, Juan Liu, Lang Wang, Zhihui Yang, Hongyu Dong, Jing Feng:
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification. CoRR abs/2209.13844 (2022) - 2021
- [j26]Hua Chen, Juan Liu, Qing-Man Wen, Zhiqun Zuo, Jiasheng Liu, Jing Feng, Bao-Chuan Pang, Di Xiao:
CytoBrain: Cervical Cancer Screening System Based on Deep Learning Technology. J. Comput. Sci. Technol. 36(2): 347-360 (2021) - [j25]Wenwen Min
Group-Sparse SVD Models via $L_1$L1- and $L_0$L0-norm Penalties and their Applications in Biological Data. IEEE Trans. Knowl. Data Eng. 33(2): 536-550 (2021) - [c28]Yaoran Chen, Yuanyuan Zhu, Ming Zhong, Juan Liu:
COMNA: Core-attachment based protein complex detection via multiple network alignment. BIBM 2021: 241-244 - [c27]Hua Chen, Juan Liu, Chunbing Hua, Zhiqun Zuo, Jing Feng, Baochuan Pang, Di Xiao:
TransMixNet: An Attention Based Double-Branch Model for White Blood Cell Classification and Its Training with the Fuzzified Training Data. BIBM 2021: 842-847 - 2020
- [c26]Yaoran Chen, Yuanyuan Zhu, Ming Zhong, Rong Peng, Juan Liu:
GPPIAL: A New Global PPI Network Aligner Based on Orthologs. BIBM 2020: 100-107 - [c25]Zhihui Yang, Juan Liu, Zeyu Wang, Yufan Wang, Jing Feng:
Multi-Class Metabolic Pathway Prediction by Graph Attention-Based Deep Learning Method. BIBM 2020: 126-131 - [c24]Jian Zhang, Juan Liu, Pei-Fang Li, Jing Feng:
DAAT: A New Method to Train Convolutional Neural Network on Atrial Fibrillation Detection. ICIC (3) 2020: 280-290
2010 – 2019
- 2019
- [j24]Guangsheng Wu, Juan Liu, Xiang Yue
Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition. BMC Bioinform. 20(1): 134:1-134:13 (2019) - [c23]Guangsheng Wu, Juan Liu:
Predicting Drug-Disease Treatment Associations Based on Topological Similarity and Singular Value Decomposition. BIBM 2019: 153-158 - [c22]Jiasheng Liu, Juan Liu, Yuqi Chen, Chunbing Hua, Zhuoyu Li, Zhiqun Zuo:
A Robust Approach to Locate HER2 and CEN17 Signals in Varied FISH Images. BIBM 2019: 2690-2695 - [c21]Fangfang Zhu, Juan Liu, Wenwen Min
Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data. ICIC (2) 2019: 116-126 - 2018
- [j23]Wenwen Min
Edge-group sparse PCA for network-guided high dimensional data analysis. Bioinform. 34(20): 3479-3487 (2018) - [j22]Guangsheng Wu, Juan Liu, Wenwen Min
Prediction of drug-disease treatment relations based on positive and unlabeled samples. J. Intell. Fuzzy Syst. 35(2): 1363-1373 (2018) - [j21]Shuai Wang, Juan Liu, Yaoyao Bi, Zhe Chen, Qunhua Zheng, Huifang Duan:
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). 计算机科学 45(3): 247-252 (2018) - [j20]Wenwen Min
Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 944-953 (2018) - [i4]Wenwen Min, Juan Liu, Shihua Zhang:
Group-sparse SVD Models and Their Applications in Biological Data. CoRR abs/1807.10956 (2018) - 2017
- [j19]Qianqian Shi, Chuanchao Zhang, Minrui Peng, Xiangtian Yu, Tao Zeng
Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data. Bioinform. 33(17): 2706-2714 (2017) - [j18]Chuanchao Zhang, Juan Liu, Qianqian Shi, Tao Zeng
Comparative network stratification analysis for identifying functional interpretable network biomarkers. BMC Bioinform. 18(S-3): 1-12 (2017) - [j17]Chuanchao Zhang, Juan Liu, Qianqian Shi, Tao Zeng
Differential function analysis: identifying structure and activation variations in dysregulated pathways. Sci. China Inf. Sci. 60(1): 12108 (2017) - [j16]Yafang Tan, Juan Liu, Caihua Wang, Wanwei Jiang:
一种稀疏可控的主成分分析方法 (Sparse Controllable Principal Component Analysis Method). 计算机科学 44(1): 243-246 (2017) - [j15]Weizhong Tu, Shaozhen Ding, Ling Wu, Zhe Deng, Hui Zhu
SynBioEcoli: a comprehensive metabolism network of engineered E. coli in three dimensional visualization. Quant. Biol. 5(1): 99-104 (2017) - [c20]Yuanyuan Zhu, Yuezhi Li, Juan Liu, Lu Qin
GMAlign: A new network aligner for revealing large conserved functional components. BIBM 2017: 120-127 - [i3]Wenwen Min, Juan Liu, Shihua Zhang:
Sparse Weighted Canonical Correlation Analysis. CoRR abs/1710.04792 (2017) - 2016
- [j14]Weizhong Tu, Haoran Zhang, Juan Liu, Qian-Nan Hu:
BioSynther: a customized biosynthetic potential explorer. Bioinform. 32(3): 472-473 (2016) - [j13]Caihua Wang, Juan Liu, Fei Luo, Qian-Nan Hu:
Multi-fields model for predicting target-ligand interaction. Neurocomputing 206: 58-65 (2016) - [j12]Xuanyu Zhou, Juan Liu, Fei Luo, Yang Liu, Han Yan:
中文指代消解模型的对比研究 (Comparison of Chinese Anaphora Resolution Models). 计算机科学 43(2): 31-34 (2016) - [c19]Guangsheng Wu, Juan Liu, Caihua Wang:
Semi-supervised graph cut algorithm for drug repositioning by integrating drug, disease and genomic associations. BIBM 2016: 223-228 - [c18]Chuanchao Zhang, Juan Liu, Qianqian Shi, Xiangtian Yu, Tao Zeng, Luonan Chen:
Integration of multiple heterogeneous omics data. BIBM 2016: 564-569 - [i2]Wenwen Min
L0-norm Sparse Graph-regularized SVD for Biclustering. CoRR abs/1603.06035 (2016) - [i1]Wenwen Min, Juan Liu, Shihua Zhang:
Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. CoRR abs/1609.06480 (2016) - 2015
- [j11]Caihua Wang, Juan Liu, Fei Luo, Zixing Deng, Qian-Nan Hu:
Predicting target-ligand interactions using protein ligand-binding site and ligand substructures. BMC Syst. Biol. 9(S-1): S2 (2015) - [c17]Wenwen Min
A novel two-stage method for identifying microRNA-gene regulatory modules in breast cancer. BIBM 2015: 151-156 - [c16]Chuanchao Zhang, Juan Liu, Qianqian Shi, Tao Zeng, Luonan Chen:
Identification of phenotypic networks based on whole transcriptome by comparative network decomposition. BIBM 2015: 189-194 - 2014
- [j10]Tao Zeng, Xuan Guo, Juan Liu:
Negative correlation based gene markers identification in integrative gene expression data. Int. J. Data Min. Bioinform. 10(1): 1-17 (2014) - [c15]Caihua Wang, Juan Liu, Fei Luo, Yafang Tan, Zixin Deng, Qian-Nan Hu:
Pairwise input neural network for target-ligand interaction prediction. BIBM 2014: 67-70 - [c14]Shuhua Chen, Juan Liu, Tao Zeng:
MMSE: A generalized coherence measure for identifying linear patterns. BIBM 2014: 489-492 - 2013
- [j9]Fei Luo, Yangyang Gao, Yongqiong Zhu, Juan Liu:
Integrating peptides' sequence and energy of contact residues information improves prediction of peptide and HLA-I binding with unknown alleles. BMC Bioinform. 14(S-8): S1 (2013) - [c13]Wen Zhang
Predicting immunogenic T-cell epitopes by combining various sequence-derived features. BIBM 2013: 4-9 - 2012
- [j8]Wen Zhang
Predicting linear B-cell epitopes by using sequence-derived structural and physicochemical features. Int. J. Data Min. Bioinform. 6(5): 557-569 (2012) - [c12]Fei Luo, Yangyang Gao, Yongqiong Zhu, Juan Liu:
Predicting Binding-Peptide of HLA-I on Unknown Alleles by Integrating Sequence Information and Energies of Contact Residues. ICIC (3) 2012: 160-165 - 2011
- [j7]Shi-Hua Zhang, Qingjiao Li, Juan Liu, Xianghong Jasmine Zhou:
A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules. Bioinform. 27(13): 401-409 (2011) - [j6]Wen Zhang
Prediction of conformational B-cell epitopes from 3D structures by random forest with a distance-based feature. BMC Bioinform. 12: 341 (2011) - [c11]Yi Xiong, Wen Zhang
Prediction of Heme Binding Sites in Heme Proteins Using an Integrative Sequence Profile Coupling Evolutionary Information with Physicochemical Properties. BIBM 2011: 143-146 - 2010
- [j5]Tao Zeng
Mixture classification model based on clinical markers for breast cancer prognosis. Artif. Intell. Medicine 48(2-3): 129-137 (2010) - [j4]Wen Zhang
Quantitative prediction of MHC-II binding affinity using particle swarm optimization. Artif. Intell. Medicine 50(2): 127-132 (2010) - [j3]Fei Luo, Juan Liu, Jinyan Li:
Discovering conditional co-regulated protein complexes by integrating diverse data sources. BMC Syst. Biol. 4(S-2): S4 (2010) - [c10]Tao Zeng, Xuan Guo, Juan Liu:
Discovering negative correlated gene sets from integrative gene expression data for cancer prognosis. BIBM 2010: 489-492
2000 – 2009
- 2009
- [j2]Wen Zhang
Quantitative prediction of MHC-II peptide binding affinity using relevance vector machine. Appl. Intell. 31(2): 180-187 (2009) - [c9]Tao Zeng, Fei Luo, Juan Liu:
Biological Pathway Conducting Microarray-Based Cancer Classification. BMEI 2009: 1-5 - [c8]Ayad R. Abbas
Supporting E-Learning System with Modified Bayesian Rough Set Model. ISNN (2) 2009: 192-200 - [c7]Ayad R. Abbas
Personalized SCORM Learning Experience Based on Rating Scale Model. ISNN (1) 2009: 689-698 - [c6]Ayad R. Abbas
Design E-learning Recommendation System Using PIRT and VPRS Model. WISM 2009: 489-498 - 2008
- [j1]Wen Zhang
A Bayesian regression approach to the prediction of MHC-II binding affinity. Comput. Methods Programs Biomed. 92(1): 1-7 (2008) - [c5]Wen Zhang
Quantitative Prediction of MHC-II Peptide Binding Affinity Using Global Description of Peptide Sequences. BMEI (1) 2008: 352-356 - 2007
- [c4]Tao Zeng
Analysis on Time-lagged Gene Clusters in Time Series Gene Expression Data. CIS 2007: 181-185 - [c3]Ayad R. Abbas, Juan Liu, Safaa O. Mahdi:
Improved Variable Precision Rough Set Model and its Application to Distance Learning. CIS 2007: 191-195 - 2006
- [c2]Feng Liu, Juan Liu, Jing Feng, Huaibei Zhou:
Estimation Distribution of Algorithm for Fuzzy Clustering Gene Expression Data. ICNC (2) 2006: 328-335 - [c1]Fei Luo, Juan Liu:
A Novel Clustering Method for Analysis of Gene Microarray Expression Data. BioDM 2006: 71-81
Coauthor Index
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last updated on 2024-11-07 20:30 CET by the dblp team
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