A new Q-learning algorithm based on the metropolis criterion. - Maozu Guo 001; Yang Liu 006; Jacek Malec (IEEE Trans. Syst. Man Cybern. Part B, 2004)

A Permutation-Based Genetic Algorithm for Predicting RNA Secondary Structure-A Practicable Approach. - Yongqiang Zhan; Maozu Guo 001 (FSKD (2), 2005)

Improving Retrieval Performance with the Combination of Thesauri and Automatic Relevance Feedback. - Maozu Guo 001; Jian-Fu Li (ICMLC, 2005)

Tri-training and Data Editing Based Semi-supervised Clustering Algorithm. - Chao Deng; Maozu Guo 001 (MICAI, 2006)

Methods and Simulations for the Protein Folding. - Jing Zhang; Maozu Guo 001; Yang Yu (BIOCOMP, 2007)

Simulations of Protein Folding Process. - Jing Zhang; Maozu Guo 001; Yang Yu (BIOCOMP, 2007)

RNA Secondary Structure Prediction Based on Forest Representation and Genetic Algorithm. - Taotao Zhang; Maozu Guo 001; Quan Zou 001 (ICNC (4), 2007)

Improving the Efficiency of p-ECR Moves in Evolutionary Tree Search Methods Based on Maximum Likelihood by Neighbor Joining. - Maozu Guo 001; Jian-Fu Li; Yang Liu 006 (IMSCCS, 2007)

Real-time Competition Simulation System. - Jing Zhang; Yan-bo Li; Maozu Guo 001 (IMSCCS, 2007)

Computer Simulation for Protein Folding. - Jing Zhang; Yang Yu; Maozu Guo 001 (MSV, 2007)

Participatory Learning Based Semi-Supervised Classification. - Chao Deng; Maozu Guo 001; Yang Liu 006; Haifeng Li (ICNC (4), 2008)

TagSNPs Selection Using Maximum Density Subgraph. - Jun Wang 035; Maozu Guo 001; Juan Chen; Yang Liu 006 (ICNC (5), 2008)

An Improved Diverse Density Algorithm for Multiple Overlapped Instances. - Lei Xu 047; Maozu Guo 001; Quan Zou 001; Yang Liu 006; Haifeng Li (ICNC (3), 2008)

Prediction of Protein-Protein Interactions from Secondary Structures in Binding Motifs Using the Statistic Method. - Jian-Tao Yu; Mao-Zu Guo 001 (ICNC (5), 2008)

A Novel Comparative Sequence Analysis Method for ncRNA Secondary Structure Prediction without Multiple Sequence Alignment. - Quan Zou 001; Maozu Guo 001; Yang Liu 006; Zhi-An Xing (ICNC (5), 2008)

A topological transformation in evolutionary tree search methods based on maximum likelihood combining p-ECR and neighbor joining. - Maozu Guo 001; Jian-Fu Li; Yang Liu 006 (BMC Bioinform., 2008)

Novel H/ACA Box snoRNA Mining and Secondary Structure Prediction Algorithms. - Quan Zou 001; Maozu Guo 001; Chunyu Wang 002; Yingpeng Han; Wenbin Li (RSKT, 2009)

CGTS: a site-clustering graph based tagSNP selection algorithm in genotype data. - Jun Wang 035; Maozu Guo 001; Chunyu Wang 002 (BMC Bioinform., 2009)

Predicting RNA secondary structure based on the class information and Hopfield network. - Quan Zou 001; Tuo Zhao; Yang Liu 006; Maozu Guo 001 (Comput. Biol. Medicine, 2009)

A hybrid clustering and graph based algorithm for tagSNP selection. - Maozu Guo 001; Jun Wang 035; Chunyu Wang 002; Yang Liu 006 (Soft Comput., 2009)

Editorial. - Liang Zhao 001; Maozu Guo 001; Lipo Wang (Soft Comput., 2009)

A graph and hierarchical clustering based approach for population structure inference. - Jun Wang 035; Maozu Guo 001 (BCB, 2010)

Two-stage clustering based effective sample selection for classification of pre-miRNAs. - Ping Xuan; Maozu Guo 001; Lei-lei Shi; Jun Wang 035; Xiaoyan Liu; Wenbin Li; Yingpeng Han (BIBM, 2010)

SNPs and entropy based hierarchical clustering method for genetic phylogeny analysis. - Jun Wang 035; Maozu Guo 001 (FSKD, 2010)

Simple sequence-based kernels do not predict protein-protein interactions. - Jiantao Yu; Maozu Guo 001; Chris J. Needham; Yangchao Huang; Lu Cai; David R. Westhead (Bioinform., 2010)

Information entropy for ordinal classification. - Qinghua Hu; Maozu Guo 001; Daren Yu; Jinfu Liu (Sci. China Inf. Sci., 2010)

DuplexFinder: Predicting the miRNA - miRNA* duplex from the animal precursors. - Quan Zou 001; Maozu Guo 001; Yang Liu 006; Ping Xuan (Int. J. Bioinform. Res. Appl., 2010)

Fuzzy preference based rough sets. - Qinghua Hu; Daren Yu; Maozu Guo 001 (Inf. Sci., 2010)

Detection of playfield with shadow and its application to player tracking. - Yang Liu 006; Maozu Guo 001; Wanyu Liu (MLSP, 2011)

PlantMiRNAPred: efficient classification of real and pseudo plant pre-miRNAs. - Ping Xuan; Maozu Guo 001; Xiaoyan Liu; Yangchao Huang; Wenbin Li; Yufei Huang 001 (Bioinform., 2011)

Tri-training and MapReduce-based massive data learning. - Maozu Guo 001; Chao Deng; Yang Liu 006; Ping Li 013 (Int. J. Gen. Syst., 2011)

Web Page Classification Using Relational Learning Algorithm and Unlabeled Data. - Yanjuan Li; Maozu Guo 001 (J. Comput., 2011)

A new co-training-style random forest for computer aided diagnosis. - Chao Deng; Maozu Guo 001 (J. Intell. Inf. Syst., 2011)

Phase transition and New Fitness Function based Genetic Inductive Logic Programming algorithm. - Yanjuan Li; Maozu Guo 001 (IEEE Congress on Evolutionary Computation, 2012)

Connection of the beam width and the learning success rate in the phase transition framework for relational learning. - Yanjuan Li; Maozu Guo 001 (FSKD, 2012)

Fitness Function Based on Binding and Recall Rate for Genetic Inductive Logic Programming. - Yanjuan Li; Maozu Guo 001 (ICSI (1), 2012)

A new relational Tri-training system with adaptive data editing for inductive logic programming. - Yanjuan Li; Maozu Guo 001 (Knowl. Based Syst., 2012)

Understanding MicroRNA Regulation: A computational perspective. - Dong Yue 002; Jia Meng 001; Mingzhu Lu; C. L. Philip Chen; Maozu Guo 001; Yufei Huang 001 (IEEE Signal Process. Mag., 2012)

Feature Selection for Monotonic Classification. - Qinghua Hu; Weiwei Pan; Lei Zhang 006; David Zhang 001; Yanping Song; Maozu Guo 001; Daren Yu (IEEE Trans. Fuzzy Syst., 2012)

Rank Entropy-Based Decision Trees for Monotonic Classification. - Qinghua Hu; Xunjian Che; Lei Zhang 006; David Zhang 001; Maozu Guo 001; Daren Yu (IEEE Trans. Knowl. Data Eng., 2012)

MLPA: Detecting overlapping communities by multi-label propagation approach. - Qiguo Dai; Maozu Guo 001; Yang Liu 006; Xiaoyan Liu; Ling Chen (IEEE Congress on Evolutionary Computation, 2013)

A new distance computing method for DNA sequences in phylogenetic analysis. - Juan Wang 011; Maozu Guo 001; Kai Che; Chunyu Wang 002; Xiaoyan Liu; Yang Liu 006 (FSKD, 2013)

Effective constructing training sets for object detection. - Weining Wu; Yang Liu 006; Wei Zeng 006; Maozu Guo 001; Chunyu Wang 002; Xiaoyan Liu (ICIP, 2013)

Measuring gene functional similarity based on group-wise comparison of GO terms. - Zhixia Teng; Maozu Guo 001; Xiaoyan Liu; Qiguo Dai; Chunyu Wang 002; Ping Xuan (Bioinform., 2013)

Lnetwork: an efficient and effective method for constructing phylogenetic networks. - Juan Wang 011; Maozu Guo 001; Xiaoyan Liu; Yang Liu 006; Chunyu Wang 002; Linlin Xing; Kai Che (Bioinform., 2013)

A probabilistic model of active learning with multiple noisy oracles. - Weining Wu; Yang Liu 006; Maozu Guo 001; Chunyu Wang 002; Xiaoyan Liu (Neurocomputing, 2013)

Identification of functional miRNA regulatory modules and their associations via dynamic miRNA regulatory function. - Shuang Cheng; Maozu Guo 001; Chunyu Wang 002; Xiaoyan Liu; Yang Liu 006 (BIBM, 2014)

Hidden conditional random field for lung nodule detection. - Yang Liu 006; Zhongqiu Wang; Maozu Guo 001; Ping Li 013 (ICIP, 2014)

SoyFN: a knowledge database of soybean functional networks. - Yungang Xu; Maozu Guo 001; Xiaoyan Liu; Chunyu Wang 002; Yang Liu 006 (Database J. Biol. Databases Curation, 2014)

Inferring the soybean (Glycine max) microRNA functional network based on target gene network. - Yungang Xu; Maozu Guo 001; Xiaoyan Liu; Chunyu Wang 002; Yang Liu 006 (Bioinform., 2014)

CPL: Detecting Protein Complexes by Propagating Labels on Protein-Protein Interaction Network. - Qiguo Dai; Mao-Zu Guo 001; Xiao-Yan Liu; Zhixia Teng; Chunyu Wang 002 (J. Comput. Sci. Technol., 2014)

Non-negative Locality-Constrained Linear Coding for Image Classification. - GuoJun Liu; Yang Liu 006; Maozu Guo 001; Peina Liu; Chunyu Wang 002 (IScIDE (1), 2015)

HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy. - Quan Zou 001; Qinghua Hu; Maozu Guo 001; Guohua Wang (Bioinform., 2015)

Integrating multiple networks for protein function prediction. - Guo-Xian Yu; Hailong Zhu; Carlotta Domeniconi; Maozu Guo 001 (BMC Syst. Biol., 2015)

Harmonious competition learning for Gaussian mixtures. - GuoJun Liu; Xianglong Tang; Maozu Guo 001; Yang Liu 006 (Neurocomputing, 2015)

Actively constructing an effective training set by expected gain maximization criterion. - Weining Wu; Shaobin Huang; Maozu Guo 001 (Neurocomputing, 2015)

Epistasis detection using a permutation-based Gradient Boosting Machine. - Kai Che; Xiaoyan Liu; Maozu Guo 001; Junwei Zhang; Lei Wang 085; Yin Zhang 009 (BIBM, 2016)

Reconstructing gene regulatory network based on candidate auto selection method. - Linlin Xing; Maozu Guo 001; Xiaoyan Liu; Chunyu Wang 002; Lei Wang 085; Yin Zhang 009 (BIBM, 2016)

SGFSC: speeding the gene functional similarity calculation based on hash tables. - Zhen Tian; Chunyu Wang 002; Maozu Guo 001; Xiaoyan Liu; Zhixia Teng (BMC Bioinform., 2016)

An improved method for functional similarity analysis of genes based on Gene Ontology. - Zhen Tian; Chunyu Wang 002; Maozu Guo 001; Xiaoyan Liu; Zhixia Teng (BMC Syst. Biol., 2016)

A robust local sparse coding method for image classification with Histogram Intersection Kernel. - Pan Li; Yang Liu 006; GuoJun Liu; Maozu Guo 001; Zhiyong Pan (Neurocomputing, 2016)

MiRTDL: A Deep Learning Approach for miRNA Target Prediction. - Shuang Cheng; Maozu Guo 001; Chunyu Wang 002; Xiaoyan Liu; Yang Liu 006; Xuejian Wu (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Revealing protein functions based on relationships of interacting proteins and GO terms. - Zhixia Teng; Maozu Guo 001; Xiaoyan Liu; Zhen Tian; Kai Che (J. Biomed. Semant., 2017)

Constructing an integrated gene similarity network for the identification of disease genes. - Zhen Tian; Maozu Guo 001; Chunyu Wang 002; Linlin Xing; Lei Wang 085; Yin Zhang 009 (J. Biomed. Semant., 2017)

Refine gene functional similarity network based on interaction networks. - Zhen Tian; Maozu Guo 001; Chunyu Wang 002; Xiaoyan Liu; Shiming Wang (BMC Bioinform., 2017)

A comprehensive overview and evaluation of circular RNA detection tools. - Xiangxiang Zeng; Wei Lin; Maozu Guo 001; Quan Zou 001 (PLoS Comput. Biol., 2017)

Weighted matrix factorization based data fusion for predicting lncRNA-disease associations. - Guoxian Yu; Yuehui Wang; Jun Wang 035; Guangyuan Fu; Maozu Guo 001; Carlotta Domeniconi (BIBM, 2018)

Multi-label Answer Aggregation Based on Joint Matrix Factorization. - Jinzheng Tu 002; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Guoqiang Xiao 001; Maozu Guo 001 (ICDM, 2018)

Active Framework by Sparsity Exploitation for Constructing a Training Set. - Maozu Guo 001; Weining Wu; Yang Liu 006 (ICIC (1), 2018)

Discrete Manifold-Regularized Collaborative Filtering for Large-Scale Recommender Systems. - Deming Zhai; Ao Li; Yang Li; Yang Liu 006; GuoJun Liu; Xianming Liu; Maozu Guo 001 (PCM (1), 2018)

Predicting protein-protein interactions using high-quality non-interacting pairs. - Long Zhang; Guoxian Yu; Maozu Guo 001; Jun Wang 035 (BMC Bioinform., 2018)

Computational drug repositioning using meta-path-based semantic network analysis. - Zhen Tian; Zhixia Teng; Shuang Cheng; Maozu Guo 001 (BMC Syst. Biol., 2018)

3D surface voxel tracing corrector for accurate bone segmentation. - Haoyan Guo; Sicong Song; Jinke Wang; Maozu Guo 001; Yuanzhi Cheng; Yadong Wang; Shinichi Tamura (Int. J. Comput. Assist. Radiol. Surg., 2018)

An improved K-medoids algorithm based on step increasing and optimizing medoids. - Donghua Yu; GuoJun Liu; Maozu Guo 001; Xiaoyan Liu (Expert Syst. Appl., 2018)

Identification and prioritization of differentially expressed genes for time-series gene expression data. - Linlin Xing; Maozu Guo 001; Xiaoyan Liu; Chunyu Wang 002 (Frontiers Comput. Sci., 2018)

Weakly supervised semantic segmentation based on EM algorithm with localization clues. - Yang Li; Yang Liu 006; GuoJun Liu; Deming Zhai; Maozu Guo 001 (Neurocomputing, 2018)

Topic network: topic model with deep learning for image classification. - Zhiyong Pan; Yang Liu 006; GuoJun Liu; Maozu Guo 001; Yang Li (J. Electronic Imaging, 2018)

Spatial topic pyramid model: topic model with regional spatial information. - Zhiyong Pan; Yang Liu 006; GuoJun Liu; Maozu Guo 001; Mingyu Li (J. Electronic Imaging, 2018)

Parametric local multiview hamming distance metric learning. - Deming Zhai; Xianming Liu; Hong Chang 001; Yi Zhen; Xilin Chen 001; Maozu Guo 001; Wen Gao 001 (Pattern Recognit., 2018)

Ranking-Based Deep Cross-Modal Hashing. - Xuanwu Liu; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Yazhou Ren 001; Maozu Guo 001 (AAAI, 2019)

Multiple Independent Subspace Clusterings. - Xing Wang; Jun Wang 035; Carlotta Domeniconi; Guoxian Yu; Guoqiang Xiao 001; Maozu Guo 001 (AAAI, 2019)

Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization. - Yuying Xing; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Zili Zhang 001; Maozu Guo 001 (AAAI, 2019)

CoPath: discovering cooperative driver pathways using greedy mutual exclusivity and bi-clustering. - Ziying Yang; Guoxian Yu; Jiantao Yu; Maozu Guo 001; Jun Wang 035 (BIBM, 2019)

DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method. - Jie Zeng; Guoxian Yu; Jun Wang 035; Maozu Guo 001; Xiangliang Zhang 001 (BIBM, 2019)

Selective Matrix Factorization for Multi-relational Data Fusion. - Yuehui Wang; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Xiangliang Zhang 001; Maozu Guo 001 (DASFAA (1), 2019)

IGNet: Constructing Rooted Phylogenetic Networks Based on Incompatible Graphs. - Juan Wang 011; Maozu Guo 001 (ICNC-FSKD, 2019)

Discovering Multiple Co-Clusterings in Subspaces. - Shixin Yao; Guoxian Yu; Xing Wang; Jun Wang 035; Carlotta Domeniconi; Maozu Guo 001 (SDM, 2019)

CoDP: Cooperative Driver Pathways Discovery With Matrix Factorization and Tri-Random Walk. - Ziying Yang; Guoxian Yu; Maozu Guo 001; Jun Wang 035 (IEEE Access, 2019)

Density Peaks Clustering Based on Weighted Local Density Sequence and Nearest Neighbor Assignment. - Donghua Yu; GuoJun Liu; Maozu Guo 001; Xiaoyan Liu; Shuang Yao (IEEE Access, 2019)

A review of metrics measuring dissimilarity for rooted phylogenetic networks. - Juan Wang 011; Maozu Guo 001 (Briefings Bioinform., 2019)

Identification of Novel Cancer-Related Genes with a Prognostic Role Using Gene Expression and Protein-Protein Interaction Network Data. - Peng Li; Bo Sun 006; Maozu Guo 001 (J. Comput. Inf. Technol., 2019)

OutDet: an algorithm for extracting the outer surfaces of building information models for integration with geographic information systems. - Xiaoping Zhou; Jichao Zhao; Jia Wang; Dingding Su; Haiyan Zhang; Ming Guo; Maozu Guo 001; Zhi Li (Int. J. Geogr. Inf. Sci., 2019)

Drug-target interaction data cluster analysis based on improving the density peaks clustering algorithm. - Maozu Guo 001; Donghua Yu; GuoJun Liu; Xiaoyan Liu; Shuang Cheng (Intell. Data Anal., 2019)

Integration of multi-omics data to mine cancer-related gene modules. - Peng Li; Maozu Guo 001; Bo Sun 006 (J. Bioinform. Comput. Biol., 2019)

城市空气质量感知方法综述 (Review on Urban Air Quality Perception Methods). - Pengyue Wang; Maozu Guo 001; Lingling Zhao; Yu Zhang (计算机科学, 2019)

Variational inference with Gaussian mixture model and householder flow. - GuoJun Liu; Yang Liu 006; Maozu Guo 001; Peng Li; Mingyu Li (Neural Networks, 2019)

Details in the evaluation of circular RNA detection tools: Reply to Chen and Chuang. - Xiangxiang Zeng; Wei Lin; Maozu Guo 001; Quan Zou 001 (PLoS Comput. Biol., 2019)

Drug repositioning based on individual bi-random walks on a heterogeneous network. - Yuehui Wang; Maozu Guo 001; Yazhou Ren 001; Lianyin Jia; Guoxian Yu (BMC Bioinform., 2019)

A Stacked Ensemble Learning Framework with Heterogeneous Feature Combinations for Predicting ncRNA-Protein Interaction. - Qiguo Dai; Zhaowei Wang 005; Jinmiao Song; Xiaodong Duan; Maozu Guo 001; Zhen Tian (BIBM, 2020)

Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction. - Sufang Li; Jun Wang 035; Maozu Guo 001; Xiangliang Zhang 001 (BIBM, 2020)

Epistasis Detection using Heterogeneous Bio-molecular Network. - Huiling Zhang; Jun Wang 035; Guoxian Yu; Lizhen Cui; Maozu Guo 001 (BIBM, 2020)

Partial Multi-label Learning with Label and Feature Collaboration. - Tingting Yu; Guoxian Yu; Jun Wang 035; Maozu Guo 001 (DASFAA (1), 2020)

EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings. - Huiling Zhang; Guoxian Yu; Wei Ren; Maozu Guo 001; Jun Wang 035 (ISBRA, 2020)

Transportation Mode Recognition With Deep Forest Based on GPS Data. - Maozu Guo 001; Shutong Liang; Lingling Zhao; Pengyue Wang (IEEE Access, 2020)

Point Supervised Extended Scenario Nuclear Analysis Framework Based on LSTM-CFCN. - Dong Sui; Maozu Guo 001; Fei Yang 003; Lei Zhang 036 (IEEE Access, 2020)

Predicting Sub-Golgi Apparatus Resident Protein With Primary Sequence Hybrid Features. - Chunyu Wang 002; Jialin Li; Xiaoyan Liu; Maozu Guo 001 (IEEE Access, 2020)

Identification of Type VI Effector Proteins Using a Novel Ensemble Classifier. - Chunyu Wang 002; Jialin Li; Ying Zhang; Maozu Guo 001 (IEEE Access, 2020)

Isoform function prediction based on bi-random walks on a heterogeneous network. - Guoxian Yu; Keyao Wang; Carlotta Domeniconi; Maozu Guo 001; Jun Wang 035 (Bioinform., 2020)

Predicting functions of maize proteins using graph convolutional network. - Guangjie Zhou; Jun Wang 035; Xiangliang Zhang 001; Maozu Guo 001; Guoxian Yu (BMC Bioinform., 2020)

Data fusion-based algorithm for predicting miRNA-Disease associations. - Chunyu Wang 002; Kai Sun; Juexin Wang; Maozu Guo 001 (Comput. Biol. Chem., 2020)

Feature selection with missing labels based on label compression and local feature correlation. - Lin Jiang; Guoxian Yu; Maozu Guo 001; Jun Wang 035 (Neurocomputing, 2020)

Weakly supervised semantic segmentation by iterative superpixel-CRF refinement with initial clues guiding. - Yang Li; Yang Liu 006; GuoJun Liu; Maozu Guo 001 (Neurocomputing, 2020)

Attributed heterogeneous network fusion via collaborative matrix tri-factorization. - Guoxian Yu; Yuehui Wang; Jun Wang 035; Carlotta Domeniconi; Maozu Guo 001; Xiangliang Zhang 001 (Inf. Fusion, 2020)

Multi-label crowd consensus via joint matrix factorization. - Jinzheng Tu 002; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Guoqiang Xiao 001; Maozu Guo 001 (Knowl. Inf. Syst., 2020)

NMFGO: Gene Function Prediction via Nonnegative Matrix Factorization with Gene Ontology. - Guoxian Yu; Keyao Wang; Guangyuan Fu; Maozu Guo 001; Jun Wang 035 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Accurate and Efficient Indoor Pathfinding Based on Building Information Modeling Data. - Xiaoping Zhou; Qingsheng Xie; Maozu Guo 001; Jichao Zhao; Jia Wang (IEEE Trans. Ind. Informatics, 2020)

Genome-Phenome Association Prediction by Deep Factorizing Heterogeneous Molecular Network. - Haojiang Tan; Sichao Qiu; Jun Wang 035; Guoxian Yu; Wei Guo 017; Maozu Guo 001 (BIBM, 2021)

Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction. - Xin Wang; Jun Wang 035; Guoxian Yu; Beibei Xin; Maozu Guo 001 (BIBM, 2021)

Drug-Target Interaction Prediction Based on Gaussian Interaction Profile and Information Entropy. - Lina Liu 011; Shuang Yao; Zhaoyun Ding; Maozu Guo 001; Donghua Yu; Keli Hu (ISBRA, 2021)

Imaging Biomarkers and Gene Expression Data Correlation Framework for Lung Cancer Radiogenomics Analysis Based on Deep Learning. - Dong Sui; Maozu Guo 001; Xiaoxuan Ma 002; Julian Baptiste; Lei Zhang 036 (IEEE Access, 2021)

Pathogenic gene prediction based on network embedding. - Yang Liu 006; Yuchen Guo; Xiaoyan Liu; Chunyu Wang 002; Maozu Guo 001 (Briefings Bioinform., 2021)

Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction. - Ping Xuan; Yu Zhang; Hui Cui 002; Tiangang Zhang; Maozu Guo 001; Toshiya Nakaguchi (Briefings Bioinform., 2021)

DMIL-IsoFun: predicting isoform function using deep multi-instance learning. - Guoxian Yu; Guangjie Zhou; Xiangliang Zhang 001; Carlotta Domeniconi; Maozu Guo 001 (Bioinform., 2021)

Neighbor Embedding Variational Autoencoder. - Renfei Tu; Yang Liu 006; Yongzeng Xue; Cheng Wang; Maozu Guo 001 (CoRR, 2021)

Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs. - Tianming Liang; Yang Liu 006; Xiaoyan Liu; Gaurav Sharma 001; Maozu Guo 001 (CoRR, 2021)

MetaMIML: Meta Multi-Instance Multi-Label Learning. - Yuanlin Yang 001; Guoxian Yu; Jun Wang 035; Lei Liu 003; Carlotta Domeniconi; Maozu Guo 001 (CoRR, 2021)

Imbalance deep multi-instance learning for predicting isoform-isoform interactions. - Guoxian Yu; Jie Zeng; Jun Wang 035; Hong Zhang 030; Xiangliang Zhang 001; Maozu Guo 001 (Int. J. Intell. Syst., 2021)

Noise-robust Deep Cross-Modal Hashing. - Runmin Wang; Guoxian Yu; Hong Zhang 030; Maozu Guo 001; Lizhen Cui; Xiangliang Zhang 001 (Inf. Sci., 2021)

IsoDA: Isoform-Disease Association Prediction by Multiomics Data Fusion. - Qiuyue Huang; Jun Wang 035; Xiangliang Zhang 001; Maozu Guo 001; Guoxian Yu (J. Comput. Biol., 2021)

Ensemble learning-based hierarchical retrieval of similar cases for site planning. - Pengyue Wang; Maozu Guo 001; Yunsong Han; Lingling Zhao; Xiaoping Zhou; Dayu Zhang (J. Comput. Des. Eng., 2021)

CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering. - Ziying Yang; Guoxian Yu; Maozu Guo 001; Jiantao Yu; Xiangliang Zhang 001; Jun Wang 035 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Cross-Species Protein Function Prediction with Asynchronous-Random Walk. - Yingwen Zhao; Jun Wang 035; Maozu Guo 001; Xiangliang Zhang 001; Guoxian Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks. - Jinzheng Tu 002; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi; Maozu Guo 001; Xiangliang Zhang 001 (ACM Trans. Knowl. Discov. Data, 2021)

A new method for predicting plant proteins function based on multi label classification algorithm. - Shuai Chen; Juan Wang 011; Maozu Guo 001 (BIBM, 2022)

Flexible ConvNext Block Based Multi-task Learning Framework for Liver MRI Images Analysis. - Dong Sui; Weifeng Liu; Maozu Guo 001; Yang Li; Lei Zhang; Gongning Luo; Kuanquan Wang (BIBM, 2022)

Phenotype Prediction by Heterogeneous Molecular Network Embedding. - Haojiang Tan; Jun Wang 035; Guoxian Yu; Wei Guo 017; Maozu Guo 001 (BIBM, 2022)

Sub-Loc: predicting protein sub-mitochondrial localization based on sequence embedding. - Xiaoting Wang; Juan Wang 011; Haodong Bian; Maozu Guo 001 (BIBM, 2022)

GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs. - Qiguo Dai; Ziqiang Liu; Zhaowei Wang 005; Xiaodong Duan; Maozu Guo 001 (Briefings Bioinform., 2022)

Predicting miRNA-disease associations using an ensemble learning framework with resampling method. - Qiguo Dai; Zhaowei Wang 005; Ziqiang Liu; Xiaodong Duan; Jinmiao Song; Maozu Guo 001 (Briefings Bioinform., 2022)

Differentially expressed genes prediction by multiple self-attention on epigenetics data. - Zimo Huang; Jun Wang 035; Zhongmin Yan; Maozu Guo 001 (Briefings Bioinform., 2022)

ELSSI: parallel SNP-SNP interactions detection by ensemble multi-type detectors. - Xin Wang; Xia Cao; Yuantao Feng; Maozu Guo 001; Guoxian Yu; Jun Wang 035 (Briefings Bioinform., 2022)

Isoform function prediction by Gene Ontology embedding. - Sichao Qiu; Guoxian Yu; Xudong Lu; Carlotta Domeniconi; Maozu Guo 001 (Bioinform., 2022)

Weakly Supervised Cross-Modal Hashing. - Xuanwu Liu; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Guoqiang Xiao 001; Maozu Guo 001 (IEEE Trans. Big Data, 2022)

EpiMC: Detecting Epistatic Interactions Using Multiple Clusterings. - Jun Wang 035; Huiling Zhang; Wei Ren; Maozu Guo 001; Guoxian Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Tissue Specificity Based Isoform Function Prediction. - Guoxian Yu; Qiuyue Huang; Xiangliang Zhang 001; Maozu Guo 001; Jun Wang 035 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

DeepIDA: Predicting Isoform-Disease Associations by Data Fusion and Deep Neural Networks. - Guoxian Yu; Yeqian Yang; Yangyang Yan; Maozu Guo 001; Xiangliang Zhang 001; Jun Wang 035 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

SACC: A Size Adaptive Content Caching Algorithm in Fog/Edge Computing Using Deep Reinforcement Learning. - Xiaoping Zhou; Zhenlong Liu; Maozu Guo 001; Jichao Zhao; Jialin Wang (IEEE Trans. Emerg. Top. Comput., 2022)

DeepRCI: Predicting ATP-Binding Proteins Using the Residue-Residue Contact Information. - Zhaoxi Zhang; Yulan Zhao; Juan Wang 011; Maozu Guo 001 (IEEE J. Biomed. Health Informatics, 2022)

Reinforcement Causal Structure Learning on Order Graph. - Dezhi Yang; Guoxian Yu; Jun Wang 035; Zhengtian Wu; Maozu Guo 001 (AAAI, 2023)

A Novel Effectiveness Assessment Framework for Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer Based on Multi-modal Intelligence. - Xiao Tian; Dong Sui; Weifeng Liu; Maozu Guo 001; Gongning Luo; Kuanquan Wang (BIBM, 2023)

Causal Discovery by Graph Attention Reinforcement Learning. - Dezhi Yang; Guoxian Yu; Jun Wang 035; Zhongmin Yan; Maozu Guo 001 (SDM, 2023)

Joint Biomedical Entity and Relation Extraction Based on Feature Filter Table Labeling. - Zhaojie Sun; Linlin Xing; Longbo Zhang; Hongzhen Cai; Maozu Guo 001 (IEEE Access, 2023)

Differential Gene Expression Prediction by Ensemble Deep Networks on Histone Modification Data. - Zimo Huang; Jun Wang 035; Zhongmin Yan; Lin Wan; Maozu Guo 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Predicting microbe-drug associations with structure-enhanced contrastive learning and self-paced negative sampling strategy. - Zhen Tian; Yue Yu; Haichuan Fang; Weixin Xie; Maozu Guo 001 (Briefings Bioinform., 2023)

Cooperative driver pathways discovery by multiplex network embedding. - Jun Wang 035; Xi Chen; Zhengtian Wu; Maozu Guo 001; Guoxian Yu (Briefings Bioinform., 2023)

Meta Multi-Instance Multi-Label learning by heterogeneous network fusion. - Sichao Qiu; Mengyi Wang; Yuanlin Yang 001; Guoxian Yu; Jun Wang 035; Zhongmin Yan; Carlotta Domeniconi; Maozu Guo 001 (Inf. Fusion, 2023)

A Deep Learning Model with Signal Decomposition and Informer Network for Equipment Vibration Trend Prediction. - Huiyun Wang; Maozu Guo 001; Le Tian 001 (Sensors, 2023)

Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs. - Tianming Liang; Yang Liu 006; Xiaoyan Liu; Hao Zhang 128; Gaurav Sharma 001; Maozu Guo 001 (IEEE Trans. Knowl. Data Eng., 2023)

Directed Acyclic Graph Learning on Attributed Heterogeneous Network. - Jiaxuan Liang; Jun Wang 035; Guoxian Yu; Wei Guo 017; Carlotta Domeniconi; Maozu Guo 001 (IEEE Trans. Knowl. Data Eng., 2023)

ColonNet: A novel polyp segmentation framework based on LK-RFB and GPPD. - Dong Sui; Weifeng Liu; Yue Zhang; Yang Li; Gongning Luo; Kuanquan Wang; Maozu Guo 001 (Comput. Biol. Medicine, 2023)

A gene regulatory network inference model based on pseudo-siamese network. - Qian Wang; Maozu Guo 001; Jian Chen; Ran Duan (BMC Bioinform., 2023)

Product Anomaly Detection on Heterogeneous Graphs with Sparse Labels. - Dan Yin; Sihang Fang; Tianshuo Wang; Maozu Guo 001 (APWeb/WAIM (3), 2024)

MHANDTI: Drug-Target Interaction Prediction Model Based on Heterogeneous Graph Multi-Hop Attention Networks. - Chen Zhang; Jiaqi Sun; Linlin Xing; Longbo Zhang; Hongzhen Cai; Maozu Guo 001 (BIBM, 2024)

FTMSNet: Towards boundary-aware polyp segmentation framework based on hybrid Fourier Transform and Multi-scale Subtraction. - Guangzhe Zhao; Sihao Chen; Xueping Wang; Feihu Yan; Maozu Guo 001 (BIBM, 2024)

YMamba: A Dual-Branch Network Fusing State Space Model and CNN for Medical Image Segmentation. - Guangzhe Zhao; Sihao Chen; Feihu Yan; Xueping Wang; Maozu Guo 001 (BIBM, 2024)

A Multi-Feature and Dual-Attribute Interaction Aggregation Model for Predicting Drug-Target Interactions. - Yuandong Liu; Haoqin Yang; Longbo Zhang; Hongzhen Cai; Maozu Guo 001; Linlin Xing (IEEE Access, 2024)

Bayesian Neural Network-Based Equipment Operational Trend Prediction Method Using Channel Attention Mechanism. - Chang Ming-Yu; Tian Le 001; Maozu Guo 001 (IEEE Access, 2024)

V-GMR: a variational autoencoder-based heterogeneous graph multi-behavior recommendation model. - Haoqin Yang; Ran Rang; Linlin Xing; Longbo Zhang; Hongzhen Cai; Maozu Guo 001; Jiaqi Sun (Appl. Intell., 2024)

A Recommendation Approach Based on Heterogeneous Network and Dynamic Knowledge Graph. - Shanshan Wan; Yuquan Wu; Ying Liu; Linhu Xiao; Maozu Guo 001 (Int. J. Intell. Syst., 2024)

BAMRE: Joint extraction model of Chinese medical entities and relations based on Biaffine transformation with relation attention. - Jiaqi Sun; Chen Zhang; Linlin Xing; Longbo Zhang; Hongzhen Cai; Maozu Guo 001 (J. Biomed. Informatics, 2024)

MIMR: Modality-Invariance Modeling and Refinement for unsupervised visible-infrared person re-identification. - Zhiqi Pang; Chunyu Wang 002; Honghu Pan; Lingling Zhao; Junjie Wang 005; Maozu Guo 001 (Knowl. Based Syst., 2024)

Gradient-Based Local Causal Structure Learning. - Jiaxuan Liang; Jun Wang 035; Guoxian Yu; Carlotta Domeniconi; Xiangliang Zhang 001; Maozu Guo 001 (IEEE Trans. Cybern., 2024)

Personalized Federated Few-Shot Learning. - Yunfeng Zhao; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi; Maozu Guo 001; Xiangliang Zhang 001; Lizhen Cui (IEEE Trans. Neural Networks Learn. Syst., 2024)

Detection of Road Crack Images Based on Multistage Feature Fusion and a Texture Awareness Method. - Maozu Guo 001; Wenbo Tian; Yang Li; Dong Sui (Sensors, 2024)

Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction. - Hao Zhang 128; Yang Liu 006; Xiaoyan Liu; Tianming Liang; Gaurav Sharma 001; Liang Xue; Maozu Guo 001 (IEEE Trans. Knowl. Data Eng., 2024)

A MLP-Mixer and mixture of expert model for remaining useful life prediction of lithium-ion batteries. - Lingling Zhao; Shitao Song; Pengyan Wang; Chunyu Wang 002; Junjie Wang 005; Maozu Guo 001 (Frontiers Comput. Sci., 2024)

Equivariant score-based generative diffusion framework for 3D molecules. - Hao Zhang 128; Yang Liu 006; Xiaoyan Liu; Cheng Wang; Maozu Guo 001 (BMC Bioinform., 2024)

Syn-Net: A Synchronous Frequency-Perception Fusion Network for Breast Tumor Segmentation in Ultrasound Images. - Guangzhe Zhao; Xingguo Zhu; Xueping Wang; Feihu Yan; Maozu Guo 001 (IEEE J. Biomed. Health Informatics, 2025)

Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling. - Zehong Wang; Donghua Yu; Shigen Shen; Shichao Zhang 001; Huawen Liu; Shuang Yao; Maozu Guo 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

ESDN: edge computing task scheduling strategy based on dilated convolutional neural network and quasi-newton algorithm. - Haoyu Liu; Le Tian 001; Maozu Guo 001 (Clust. Comput., 2025)