Juan Liu - RankMe

119 papers A* 3A 3B 1C 2Misc 4Journal 57Unranked 49

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Domain-Aware Multi-View Contrastive Representation Learning for Protein Subcellular Localization Prediction. AAAI Qiang Zhang, Feng Yang, Weihong Huang, Jing Feng, Juan Liu
2026	A*	`conf`	Dynamic Geometric Equivariant Network for Full-Atom Antibody Design. AAAI Weihong Huang, Feng Yang, Qiang Zhang, Juan Liu
2026	J	`jnl`	Multimodal laryngoscopic video analysis for assisted diagnosis of vocal fold paralysis. Comput. Speech Lang. Yucong Zhang, Xin Zou, Jinshan Yang, Wenjun Chen, Juan Liu, Faya Liang, Ming Li
2026	J	`jnl`	Robust LLM-based Audio-Visual Speech Recognition with Sparse Modality Alignment and Visual Unit-Guided Refinement. CoRR Fei Su, Cancan Li, Juan Liu, Wei Ju, Hongbin Suo, Ming Li
2025	J	`jnl`	AISHELL6-whisper: A Chinese Mandarin Audio-visual Whisper Speech Dataset with Speech Recognition Baselines. CoRR Cancan Li, Fei Su, Juan Liu, Hui Bu, Yulong Wan, Hongbin Suo, Ming Li
2025	A	`conf`	Align-AV-HuBERT: AV-HuBERT with Audio-Visual Temporal Alignment. ICME Cancan Li, Fei Su, Juan Liu
2025	—	`conf`	CrossStateECG-Lite: Lightweight Adaptive Thresholding Network for Dual-State ECG Biometrics. BIBM Dan Zheng, Jing Feng, Juan Liu
2025	—	`conf`	CrossStateECG: Multi-scale Deep Convolutional Network with Attention for Rest-Exercise ECG Biometrics. PRCV (15) Dan Zheng, Jing Feng, Juan Liu
2025	J	`jnl`	Deconvolution of spatial transcriptomics data via graph contrastive learning and partial least square regression. Briefings Bioinform. Yuanyuan Mo, Juan Liu, Lihua Zhang
2025	A	`conf`	Enhanced Self-Supervised Multi-View Representations with Modality-Missing Robustness for Audio-Visual Speech Recognition. ICME Fei Su, Cancan Li, Juan Liu
2025	B	`conf`	Lip Enhancement and Multi-View Simulation for Robust Visual Speech Recognition in MAVSR 2025. FG Fei Su, Cancan Li, Juan Liu
2025	A	`conf`	Multi-Channel Sequence-to-Sequence Neural Diarization: Experimental Results for The MISP 2025 Challenge. INTERSPEECH Ming Cheng, Fei Su, Cancan Li, Juan Liu, Ming Li
2025	—	`conf`	Multi-scale Scanning Network for Machine Anomalous Sound Detection. ICONIP (3) Yucong Zhang, Juan Liu, Ming Li
2025	J	`jnl`	Predicting breast cancer molecular subtypes from H &E-stained histopathological images using a spatial-transcriptomics-based patch filter. Multim. Tools Appl. Yuqi Chen, Juan Liu, Lang Wang, Peng Jiang, Baochuan Pang, Dehua Cao
2025	A*	`conf`	SMIIP-NV: A Multi-Annotation Non-Verbal Expressive Speech Corpus in Mandarin for LLM-Based Speech Synthesis. ACM Multimedia Zhuojun Wu, Dong Liu, Juan Liu, Yechen Wang, Linxi Li, Liwei Jin, Hui Bu, Pengyuan Zhang, Ming Li
2025	J	`jnl`	TRGOA: Topological-Aware Residue-Gene Ontology Attention Network for Protein Function Prediction. IEEE Trans. Comput. Biol. Bioinform. Qiang Zhang, Feng Yang, Weihong Huang, Jing Feng, Juan Liu
2024	—	`conf`	A Multi-scale Multivariate Time Series Classification Method Based on Bag of Patterns. ICIC (LNAI 2) Yuxiao Wang, Ding Zhu, Juan Liu
2024	J	`jnl`	A dual-scale fused hypergraph convolution-based hyperedge prediction model for predicting missing reactions in genome-scale metabolic networks. Briefings Bioinform. Weihong Huang, Feng Yang, Qiang Zhang, Juan Liu
2024	J	`jnl`	A multi-stream network for retrosynthesis prediction. Frontiers Comput. Sci. Qiang Zhang, Juan Liu, Wen Zhang, Feng Yang, Zhihui Yang, Xiaolei Zhang
2024	J	`jnl`	A novel multilevel iterative training strategy for the ResNet50 based mitotic cell classifier. Comput. Biol. Chem. Yuqi Chen, Juan Liu, Peng Jiang, Yu Jin
2024	J	`jnl`	Advancing Drug-Target Interaction prediction with BERT and subsequence embedding. Comput. Biol. Chem. Zhihui Yang, Juan Liu, Feng Yang, Xiaolei Zhang, Qiang Zhang, Xuekai Zhu, Peng Jiang
2024	—	`conf`	Audio-Visual Wake-up Word Spotting Under Noisy and Multi-person Scenarios. ICPR (33) Cancan Li, Fei Su, Juan Liu
2024	—	`conf`	BS2CL: Balanced Self-supervised Contrastive Learning for Thyroid Cytology Whole Slide Image Multi-classification. ICIC (7) Wensi Duan, Juan Liu, Lang Wang, Yu Jin, Peng Jiang, Cheng Li, Dehua Cao, Baochuan Pang
2024	J	`jnl`	CRDet: A circle representation detector for lung granulomas based on multi-scale attention features with center point calibration. Comput. Medical Imaging Graph. Yu Jin, Juan Liu, Yuanyuan Zhou, Rong Chen, Hua Chen, Wensi Duan, Yuqi Chen, Xiao-Lian Zhang
2024	—	`conf`	DCOAT: Dynamic Core-attachment based Protein Complex Detection. BIBM Yaoran Chen, Difu Feng, Yuanyuan Zhu, Guojing Li, Ming Zhong, Tieyun Qian, Juan Liu
2024	—	`conf`	Deconvolution of spatial transcriptomics data based on multi-head dynamic GAT and optimal transport. BIBM Yuqi Chen, Feng Yang, Peng Jiang, Yuan Wang, Qiang Zhang, Juan Liu
2024	J	`jnl`	Gtie-Rt: A comprehensive graph learning model for predicting drugs targeting metabolic pathways in human. J. Bioinform. Comput. Biol. Hayat Ali Shah, Juan Liu, Zhihui Yang
2024	J	`jnl`	Interpretable detector for cervical cytology using self-attention and cell origin group guidance. Eng. Appl. Artif. Intell. Peng Jiang, Juan Liu, Jing Feng, Hua Chen, Yuqi Chen, Cheng Li, Baochuan Pang, Dehua Cao
2024	J	`jnl`	Planning biosynthetic pathways of target molecules based on metabolic reaction prediction and AND-OR tree search. Comput. Biol. Chem. Xiaolei Zhang, Juan Liu, Feng Yang, Qiang Zhang, Zhihui Yang, Hayat Ali Shah
2024	—	`conf`	Subgraph-based Self-Supervised Learning Framework for Enzymatic Reaction Feasibility Prediction. BIBM Feng Yang, Juan Liu, Qiang Zhang, Zhihui Yang, Jianghang Liu, Guangsheng Wu
2024	—	`conf`	The Whu Wake Word Lipreading System for the 2024 Chat-Scenario Chinese Lipreading Challenge. ICME Workshops Haoxu Wang, Cancan Li, Fei Su, Juan Liu, Hongbin Suo, Ming Li
2024	—	`conf`	Variable-Length Promoter Strength Prediction Based on Graph Convolution. ISBRA (1) Tianqi Teng, Feng Yang, Qiang Zhang, Juan Liu
2023	J	`jnl`	A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis. Artif. Intell. Rev. Peng Jiang, Xuekong Li, Hui Shen, Yuqi Chen, Lang Wang, Hua Chen, Jing Feng, Juan Liu
2023	—	`conf`	AMTL-RFC:A multi-task learning based method for evaluating the feasibility of enzymatic reactions. BIBM Jianghang Liu, Juan Liu, Zhihui Yang, Feng Yang, Qiang Zhang
2023	J	`jnl`	An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images. BMC Bioinform. Na Zhang, Juan Liu, Yu Jin, Wensi Duan, Ziling Wu, Zhaohui Cai, Meng Wu
2023	Misc	`conf`	Classifying Pathological Images Based on Multi-Instance Learning and End-to-End Attention Pooling. ICASSP Yuqi Chen, Juan Liu, Zhiqun Zuo, Peng Jiang, Yu Jin, Guangsheng Wu
2023	Misc	`conf`	DDN: Dynamic Aggregation Enhanced Dual-Stream Network for Medical Image Classification. ICASSP Lang Wang, Juan Liu, Peng Jiang, Dehua Cao, Baochuan Pang
2023	—	`conf`	DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks. ICIC (3) Hayat Ali Shah, Juan Liu, Zhihui Yang, Jing Feng
2023	J	`jnl`	DeepRT: Predicting compounds presence in pathway modules and classifying into module classes using deep neural networks based on molecular properties. J. Bioinform. Comput. Biol. Hayat Ali Shah, Juan Liu, Zhihui Yang, Feng Yang, Qiang Zhang, Jing Feng
2023	J	`jnl`	Development of Automatic Portable Pathology Scanner and Its Evaluation for Clinical Practice. J. Digit. Imaging Peng Jiang, Juan Liu, Qiang Luo, Baochuan Pang, Di Xiao, Dehua Cao
2023	J	`jnl`	FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction. Big Data Min. Anal. Xuekai Zhu, Juan Liu, Jian Zhang, Zhihui Yang, Feng Yang, Xiaolei Zhang
2023	J	`jnl`	FragDPI: a novel drug-protein interaction prediction model based on fragment understanding and unified coding. Frontiers Comput. Sci. Zhihui Yang, Juan Liu, Xuekai Zhu, Feng Yang, Qiang Zhang, Hayat Ali Shah
2023	Misc	`conf`	LGVIT: Local-Global Vision Transformer for Breast Cancer Histopathological Image Classification. ICASSP Lang Wang, Juan Liu, Peng Jiang, Dehua Cao, Baochuan Pang
2023	Misc	`conf`	MASKED-AP: Attention Pyramid Convolutional Neural Network with Mask for Cervical Cell Classification. ICASSP Yu Jin, Juan Liu, Hua Chen, Wensi Duan, Dehua Cao, Baochuan Pang
2023	—	`conf`	MSCCNet: Multi-Scale Convolution-Capsule Network for Cervical Cell Classification. BIBM Hua Chen, Juan Liu, Peng Jiang, Yu Jin, Jing Feng, Baochuan Pang, Dehua Cao, Cheng Li
2023	—	`conf`	Medical Knowledge Guided Intra-Specimen Reference Network for Cervical Cell Classification. ISBI Peng Jiang, Juan Liu, Yuqi Chen, Hongyu Dong, Hua Chen, Baochuan Pang, Dehua Cao
2023	—	`conf`	Pyramid Shape-Aware Semi-supervised Learning for Thyroid Nodules Segmentation in Ultrasound Images. PRCV (5) Na Zhang, Juan Liu, Meng Wu
2023	—	`conf`	SLPFA: Protein Structure-Label Embedding Attention Network for Protein Function Annotation. BIBM Qiang Zhang, Juan Liu, Feng Yang, Zhihui Yang, Jing Feng
2022	—	`conf`	A Context-Guided Attention Method for Integrating Features of Histopathological Patches. BIBM Yuqi Chen, Juan Liu, Peng Jiang, Jing Feng, Dehua Cao, Baochuan Pang
2022	—	`conf`	A Novel IoMT System for Pathological Diagnosis Based on Intelligent Mobile Scanner and Whole Slide Image Stitching Method. ICIC (3) Peng Jiang, Juan Liu, Di Xiao, Baochuan Pang, Zongjie Hao, Dehua Cao
2022	J	`jnl`	A novel hybrid framework for metabolic pathways prediction based on the graph attention network. BMC Bioinform. Zhihui Yang, Juan Liu, Hayat Ali Shah, Jing Feng
2022	J	`jnl`	Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism. BMC Bioinform. Hua Chen, Juan Liu, Chunbing Hua, Jing Feng, Baochuan Pang, Dehua Cao, Cheng Li
2022	J	`jnl`	CNN-based two-branch multi-scale feature extraction network for retrosynthesis prediction. BMC Bioinform. Feng Yang, Juan Liu, Qiang Zhang, Zhihui Yang, Xiaolei Zhang
2022	J	`jnl`	CSCD2: an integrated interactional database of cancer-specific circular RNAs. Nucleic Acids Res. Jing Feng, Wenbo Chen, Xin Dong, Jun Wang, Xiangfei Mei, Jin Deng, Siqi Yang, Chenjian Zhuo, Xiaoyu Huang, Lin Shao, Rongyu Zhang, Jing Guo, Ronghui Ma, Juan Liu, Feng Li, Ying Wu, Leng Han, Chunjiang He
2022	—	`conf`	Channel Spatial Collaborative Attention Network for Fine-Grained Classification of Cervical Cells. ICONIP (6) Peng Jiang, Juan Liu, Hua Chen, Cheng Li, Baochuan Pang, Dehua Cao
2022	—	`conf`	Classifying Cervical Histopathological Whole Slide Images via Deep Multi-Instance Transfer Learning. BIBM Peng Jiang, Juan Liu, Lang Wang, Jing Feng, Dehua Cao, Baochuan Pang
2022	—	`conf`	Cross-Attention Based Multi-Scale Feature Fusion Vision Transformer For Breast Ultrasound Image Classification. BIBM Lele Li, Ziling Wu, Juan Liu, Lang Wang, Yu Jin, Peng Jiang, Jing Feng, Meng Wu
2022	J	`jnl`	DSCC: a data set of cervical cell images for cervical cytology screening. Int. J. Data Min. Bioinform. Hua Chen, Juan Liu, Yu Jin, Baochuan Pang, Dehua Cao, Di Xiao
2022	J	`jnl`	DeepRF: A deep learning method for predicting metabolic pathways in organisms based on annotated genomes. Comput. Biol. Medicine Hayat Ali Shah, Juan Liu, Zhihui Yang, Xiaolei Zhang, Jing Feng
2022	J	`jnl`	Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification. CoRR Peng Jiang, Juan Liu, Lang Wang, Zhihui Yang, Hongyu Dong, Jing Feng
2022	—	`conf`	Predicting Tumor Mutation Burden of TNBC Based on Nuclei Scores of Histopathological Images. BIBM Yuqi Chen, Juan Liu, Peng Jiang, Lang Wang, Baochuan Pang, Dehua Cao
2021	—	`conf`	COMNA: Core-attachment based protein complex detection via multiple network alignment. BIBM Yaoran Chen, Yuanyuan Zhu, Ming Zhong, Juan Liu
2021	J	`jnl`	CytoBrain: Cervical Cancer Screening System Based on Deep Learning Technology. J. Comput. Sci. Technol. Hua Chen, Juan Liu, Qing-Man Wen, Zhiqun Zuo, Jiasheng Liu, Jing Feng, Bao-Chuan Pang, Di Xiao
2021	J	`jnl`	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. Wenwen Min, Juan Liu, Shihua Zhang
2021	—	`conf`	TransMixNet: An Attention Based Double-Branch Model for White Blood Cell Classification and Its Training with the Fuzzified Training Data. BIBM Hua Chen, Juan Liu, Chunbing Hua, Zhiqun Zuo, Jing Feng, Baochuan Pang, Di Xiao
2020	—	`conf`	DAAT: A New Method to Train Convolutional Neural Network on Atrial Fibrillation Detection. ICIC (3) Jian Zhang, Juan Liu, Pei-Fang Li, Jing Feng
2020	—	`conf`	GPPIAL: A New Global PPI Network Aligner Based on Orthologs. BIBM Yaoran Chen, Yuanyuan Zhu, Ming Zhong, Rong Peng, Juan Liu
2020	—	`conf`	Multi-Class Metabolic Pathway Prediction by Graph Attention-Based Deep Learning Method. BIBM Zhihui Yang, Juan Liu, Zeyu Wang, Yufan Wang, Jing Feng
2019	—	`conf`	A Robust Approach to Locate HER2 and CEN17 Signals in Varied FISH Images. BIBM Jiasheng Liu, Juan Liu, Yuqi Chen, Chunbing Hua, Zhuoyu Li, Zhiqun Zuo
2019	—	`conf`	Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data. ICIC (2) Fangfang Zhu, Juan Liu, Wenwen Min
2019	—	`conf`	Predicting Drug-Disease Treatment Associations Based on Topological Similarity and Singular Value Decomposition. BIBM Guangsheng Wu, Juan Liu
2019	J	`jnl`	Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition. BMC Bioinform. Guangsheng Wu, Juan Liu, Xiang Yue
2018	J	`jnl`	Edge-group sparse PCA for network-guided high dimensional data analysis. Bioinform. Wenwen Min, Juan Liu, Shihua Zhang
2018	J	`jnl`	Group-sparse SVD Models and Their Applications in Biological Data. CoRR Wenwen Min, Juan Liu, Shihua Zhang
2018	J	`jnl`	Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. Wenwen Min, Juan Liu, Shihua Zhang
2018	J	`jnl`	Prediction of drug-disease treatment relations based on positive and unlabeled samples. J. Intell. Fuzzy Syst. Guangsheng Wu, Juan Liu, Wenwen Min
2018	J	`jnl`	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 Shuai Wang, Juan Liu, Yaoyao Bi, Zhe Chen, Qunhua Zheng, Huifang Duan
2017	J	`jnl`	Comparative network stratification analysis for identifying functional interpretable network biomarkers. BMC Bioinform. Chuanchao Zhang, Juan Liu, Qianqian Shi, Tao Zeng, Luonan Chen
2017	J	`jnl`	Differential function analysis: identifying structure and activation variations in dysregulated pathways. Sci. China Inf. Sci. Chuanchao Zhang, Juan Liu, Qianqian Shi, Tao Zeng, Luonan Chen
2017	—	`conf`	GMAlign: A new network aligner for revealing large conserved functional components. BIBM Yuanyuan Zhu, Yuezhi Li, Juan Liu, Lu Qin, Jeffrey Xu Yu
2017	J	`jnl`	Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data. Bioinform. Qianqian Shi, Chuanchao Zhang, Minrui Peng, Xiangtian Yu, Tao Zeng, Juan Liu, Luonan Chen
2017	J	`jnl`	Sparse Weighted Canonical Correlation Analysis. CoRR Wenwen Min, Juan Liu, Shihua Zhang
2017	J	`jnl`	SynBioEcoli: a comprehensive metabolism network of engineered E. coli in three dimensional visualization. Quant. Biol. Weizhong Tu, Shaozhen Ding, Ling Wu, Zhe Deng, Hui Zhu, Xiaotong Xu, Chen Lin, Chaonan Ye, Minlu Han, Mengna Zhao, Juan Liu, Zixin Deng, Junni Chen, Dong-Qing Wei, Qian-Nan Hu
2017	J	`jnl`	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 Yafang Tan, Juan Liu, Caihua Wang, Wanwei Jiang
2016	J	`jnl`	BioSynther: a customized biosynthetic potential explorer. Bioinform. Weizhong Tu, Haoran Zhang, Juan Liu, Qian-Nan Hu
2016	—	`conf`	Integration of multiple heterogeneous omics data. BIBM Chuanchao Zhang, Juan Liu, Qianqian Shi, Xiangtian Yu, Tao Zeng, Luonan Chen
2016	J	`jnl`	L0-norm Sparse Graph-regularized SVD for Biclustering. CoRR Wenwen Min, Juan Liu, Shi-Hua Zhang
2016	J	`jnl`	Multi-fields model for predicting target-ligand interaction. Neurocomputing Caihua Wang, Juan Liu, Fei Luo, Qian-Nan Hu
2016	J	`jnl`	Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. CoRR Wenwen Min, Juan Liu, Shihua Zhang
2016	—	`conf`	Semi-supervised graph cut algorithm for drug repositioning by integrating drug, disease and genomic associations. BIBM Guangsheng Wu, Juan Liu, Caihua Wang
2016	J	`jnl`	中文指代消解模型的对比研究 (Comparison of Chinese Anaphora Resolution Models). 计算机科学 Xuanyu Zhou, Juan Liu, Fei Luo, Yang Liu, Han Yan
2015	—	`conf`	A novel two-stage method for identifying microRNA-gene regulatory modules in breast cancer. BIBM Wenwen Min, Juan Liu, Fei Luo, Shi-Hua Zhang
2015	—	`conf`	Identification of phenotypic networks based on whole transcriptome by comparative network decomposition. BIBM Chuanchao Zhang, Juan Liu, Qianqian Shi, Tao Zeng, Luonan Chen
2015	J	`jnl`	Predicting target-ligand interactions using protein ligand-binding site and ligand substructures. BMC Syst. Biol. Caihua Wang, Juan Liu, Fei Luo, Zixing Deng, Qian-Nan Hu
2014	—	`conf`	MMSE: A generalized coherence measure for identifying linear patterns. BIBM Shuhua Chen, Juan Liu, Tao Zeng
2014	J	`jnl`	Negative correlation based gene markers identification in integrative gene expression data. Int. J. Data Min. Bioinform. Tao Zeng, Xuan Guo, Juan Liu
2014	—	`conf`	Pairwise input neural network for target-ligand interaction prediction. BIBM Caihua Wang, Juan Liu, Fei Luo, Yafang Tan, Zixin Deng, Qian-Nan Hu
2013	J	`jnl`	Integrating peptides' sequence and energy of contact residues information improves prediction of peptide and HLA-I binding with unknown alleles. BMC Bioinform. Fei Luo, Yangyang Gao, Yongqiong Zhu, Juan Liu
2013	—	`conf`	Predicting immunogenic T-cell epitopes by combining various sequence-derived features. BIBM Wen Zhang, Juan Liu, Yi Xiong, Meng Ke, Ke Zhang
2012	—	`conf`	Predicting Binding-Peptide of HLA-I on Unknown Alleles by Integrating Sequence Information and Energies of Contact Residues. ICIC (3) Fei Luo, Yangyang Gao, Yongqiong Zhu, Juan Liu
2012	J	`jnl`	Predicting linear B-cell epitopes by using sequence-derived structural and physicochemical features. Int. J. Data Min. Bioinform. Wen Zhang, Juan Liu, Meng Zhao, Qingjiao Li
2011	J	`jnl`	A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules. Bioinform. Shi-Hua Zhang, Qingjiao Li, Juan Liu, Xianghong Jasmine Zhou
2011	—	`conf`	Prediction of Heme Binding Sites in Heme Proteins Using an Integrative Sequence Profile Coupling Evolutionary Information with Physicochemical Properties. BIBM Yi Xiong, Wen Zhang, Tao Zeng, Juan Liu
2011	J	`jnl`	Prediction of conformational B-cell epitopes from 3D structures by random forest with a distance-based feature. BMC Bioinform. Wen Zhang, Yi Xiong, Meng Zhao, Hua Zou, Xinghuo Ye, Juan Liu
2010	J	`jnl`	Discovering conditional co-regulated protein complexes by integrating diverse data sources. BMC Syst. Biol. Fei Luo, Juan Liu, Jinyan Li
2010	—	`conf`	Discovering negative correlated gene sets from integrative gene expression data for cancer prognosis. BIBM Tao Zeng, Xuan Guo, Juan Liu
2010	J	`jnl`	Mixture classification model based on clinical markers for breast cancer prognosis. Artif. Intell. Medicine Tao Zeng, Juan Liu
2010	J	`jnl`	Quantitative prediction of MHC-II binding affinity using particle swarm optimization. Artif. Intell. Medicine Wen Zhang, Juan Liu, Yanqing Niu
2009	—	`conf`	Biological Pathway Conducting Microarray-Based Cancer Classification. BMEI Tao Zeng, Fei Luo, Juan Liu
2009	—	`conf`	Design E-learning Recommendation System Using PIRT and VPRS Model. WISM Ayad R. Abbas, Juan Liu
2009	—	`conf`	Personalized SCORM Learning Experience Based on Rating Scale Model. ISNN (1) Ayad R. Abbas, Juan Liu
2009	J	`jnl`	Quantitative prediction of MHC-II peptide binding affinity using relevance vector machine. Appl. Intell. Wen Zhang, Juan Liu, Yanqing Niu
2009	—	`conf`	Supporting E-Learning System with Modified Bayesian Rough Set Model. ISNN (2) Ayad R. Abbas, Juan Liu
2008	J	`jnl`	A Bayesian regression approach to the prediction of MHC-II binding affinity. Comput. Methods Programs Biomed. Wen Zhang, Juan Liu, Yanqing Niu, Lian Wang, Xihao Hu
2008	—	`conf`	Quantitative Prediction of MHC-II Peptide Binding Affinity Using Global Description of Peptide Sequences. BMEI (1) Wen Zhang, Juan Liu, Yanqing Niu, Lian Wang, Zhi Zhang
2007	C	`conf`	Analysis on Time-lagged Gene Clusters in Time Series Gene Expression Data. CIS Tao Zeng, Juan Liu
2007	C	`conf`	Improved Variable Precision Rough Set Model and its Application to Distance Learning. CIS Ayad R. Abbas, Juan Liu, Safaa O. Mahdi
2006	—	`conf`	A Novel Clustering Method for Analysis of Gene Microarray Expression Data. BioDM Fei Luo, Juan Liu
2006	—	`conf`	Estimation Distribution of Algorithm for Fuzzy Clustering Gene Expression Data. ICNC (2) Feng Liu, Juan Liu, Jing Feng, Huaibei Zhou