Maozu Guo

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 125

Top Venues

Publications

Maozu Guo, Wenbo Tian, Yang Li, Dong Sui
Detection of Road Crack Images Based on Multistage Feature Fusion and a Texture Awareness Method. Sensors 24 (11) (2024)
Haoqin Yang, Ran Rang, Linlin Xing, Longbo Zhang, Hongzhen Cai, Maozu Guo, Jiaqi Sun
V-GMR: a variational autoencoder-based heterogeneous graph multi-behavior recommendation model. Appl. Intell. 54 (4) (2024)
Hao Zhang, Yang Liu, Xiaoyan Liu, Tianming Liang, Gaurav Sharma, Liang Xue, Maozu Guo
Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Jiaxuan Liang, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo
Gradient-Based Local Causal Structure Learning. IEEE Trans. Cybern. 54 (1) (2024)
Shanshan Wan, Yuquan Wu, Ying Liu, Linhu Xiao, Maozu Guo
A Recommendation Approach Based on Heterogeneous Network and Dynamic Knowledge Graph. Int. J. Intell. Syst. 2024 (2024)
Chang Ming-Yu, Tian Le, Maozu Guo
Bayesian Neural Network-Based Equipment Operational Trend Prediction Method Using Channel Attention Mechanism. IEEE Access 12 (2024)
Zhiqi Pang, Chunyu Wang, Honghu Pan, Lingling Zhao, Junjie Wang, Maozu Guo
MIMR: Modality-Invariance Modeling and Refinement for unsupervised visible-infrared person re-identification. Knowl. Based Syst. 285 (2024)
Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui
Personalized Federated Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Hao Zhang, Yang Liu, Xiaoyan Liu, Cheng Wang, Maozu Guo
Equivariant score-based generative diffusion framework for 3D molecules. BMC Bioinform. 25 (1) (2024)
Lingling Zhao, Shitao Song, Pengyan Wang, Chunyu Wang, Junjie Wang, Maozu Guo
A MLP-Mixer and mixture of expert model for remaining useful life prediction of lithium-ion batteries. Frontiers Comput. Sci. 18 (5) (2024)
Lingling Zhao, Shitao Song, Pengyan Wang, Chunyu Wang, Junjie Wang, Maozu Guo
A MLP-Mixer and mixture of expert model for remaining useful life prediction of lithium-ion batteries. Frontiers Comput. Sci. 18 (5) (2024)
Zhen Tian, Yue Yu, Haichuan Fang, Weixin Xie, Maozu Guo
Predicting microbe-drug associations with structure-enhanced contrastive learning and self-paced negative sampling strategy. Briefings Bioinform. 24 (2) (2023)
Zhaojie Sun, Linlin Xing, Longbo Zhang, Hongzhen Cai, Maozu Guo
Joint Biomedical Entity and Relation Extraction Based on Feature Filter Table Labeling. IEEE Access 11 (2023)
Zimo Huang, Jun Wang, Zhongmin Yan, Lin Wan, Maozu Guo
Differential Gene Expression Prediction by Ensemble Deep Networks on Histone Modification Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Huiyun Wang, Maozu Guo, Le Tian
A Deep Learning Model with Signal Decomposition and Informer Network for Equipment Vibration Trend Prediction. Sensors 23 (13) (2023)
Xiao Tian, Dong Sui, Weifeng Liu, Maozu Guo, Gongning Luo, Kuanquan Wang
A Novel Effectiveness Assessment Framework for Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer Based on Multi-modal Intelligence. BIBM (2023)
Hao Zhang, Yang Liu, Xiaoyan Liu, Tianming Liang, Gaurav Sharma, Liang Xue, Maozu Guo
Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction. CoRR (2023)
Jun Wang, Xi Chen, Zhengtian Wu, Maozu Guo, Guoxian Yu
Cooperative driver pathways discovery by multiplex network embedding. Briefings Bioinform. 24 (3) (2023)
Qian Wang, Maozu Guo, Jian Chen, Ran Duan
A gene regulatory network inference model based on pseudo-siamese network. BMC Bioinform. 24 (1) (2023)
Dezhi Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Maozu Guo
Causal Discovery by Graph Attention Reinforcement Learning. SDM (2023)
Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo
Reinforcement Causal Structure Learning on Order Graph. AAAI (2023)
Dong Sui, Weifeng Liu, Yue Zhang, Yang Li, Gongning Luo, Kuanquan Wang, Maozu Guo
ColonNet: A novel polyp segmentation framework based on LK-RFB and GPPD. Comput. Biol. Medicine 166 (2023)
Tianming Liang, Yang Liu, Xiaoyan Liu, Hao Zhang, Gaurav Sharma, Maozu Guo
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Jiaxuan Liang, Jun Wang, Guoxian Yu, Wei Guo, Carlotta Domeniconi, Maozu Guo
Directed Acyclic Graph Learning on Attributed Heterogeneous Network. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Sichao Qiu, Mengyi Wang, Yuanlin Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Carlotta Domeniconi, Maozu Guo
Meta Multi-Instance Multi-Label learning by heterogeneous network fusion. Inf. Fusion 94 (2023)
Qiguo Dai, Ziqiang Liu, Zhaowei Wang, Xiaodong Duan, Maozu Guo
GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs. Briefings Bioinform. 23 (5) (2022)
Haojiang Tan, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo
Phenotype Prediction by Heterogeneous Molecular Network Embedding. BIBM (2022)
Xiaoting Wang, Juan Wang, Haodong Bian, Maozu Guo
Sub-Loc: predicting protein sub-mitochondrial localization based on sequence embedding. BIBM (2022)
Zhaoxi Zhang, Yulan Zhao, Juan Wang, Maozu Guo
DeepRCI: Predicting ATP-Binding Proteins Using the Residue-Residue Contact Information. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo
Reinforcement Causal Structure Learning on Order Graph. CoRR (2022)
Shuai Chen, Juan Wang, Maozu Guo
A new method for predicting plant proteins function based on multi label classification algorithm. BIBM (2022)
Jun Wang, Huiling Zhang, Wei Ren, Maozu Guo, Guoxian Yu
EpiMC: Detecting Epistatic Interactions Using Multiple Clusterings. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Guoxian Yu, Qiuyue Huang, Xiangliang Zhang, Maozu Guo, Jun Wang
Tissue Specificity Based Isoform Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Guoxian Yu, Yeqian Yang, Yangyang Yan, Maozu Guo, Xiangliang Zhang, Jun Wang
DeepIDA: Predicting Isoform-Disease Associations by Data Fusion and Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
Weakly Supervised Cross-Modal Hashing. IEEE Trans. Big Data 8 (2) (2022)
Dong Sui, Weifeng Liu, Maozu Guo, Yang Li, Lei Zhang, Gongning Luo, Kuanquan Wang
Flexible ConvNext Block Based Multi-task Learning Framework for Liver MRI Images Analysis. BIBM (2022)
Xiaoping Zhou, Zhenlong Liu, Maozu Guo, Jichao Zhao, Jialin Wang
SACC: A Size Adaptive Content Caching Algorithm in Fog/Edge Computing Using Deep Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. 10 (4) (2022)
Qiguo Dai, Zhaowei Wang, Ziqiang Liu, Xiaodong Duan, Jinmiao Song, Maozu Guo
Predicting miRNA-disease associations using an ensemble learning framework with resampling method. Briefings Bioinform. 23 (1) (2022)
Lei Zhang, Jiaxing Pan, Pengfei Xia, Chuyuan Wei, Changfeng Jing, Maozu Guo, Quansheng Guo
A complex network approach for the model of vehicle emission propagation and intelligently mine the interaction rules. J. Intell. Fuzzy Syst. 42 (6) (2022)
Sichao Qiu, Guoxian Yu, Xudong Lu, Carlotta Domeniconi, Maozu Guo
Isoform function prediction by Gene Ontology embedding. Bioinform. 38 (19) (2022)
Xin Wang, Xia Cao, Yuantao Feng, Maozu Guo, Guoxian Yu, Jun Wang
ELSSI: parallel SNP-SNP interactions detection by ensemble multi-type detectors. Briefings Bioinform. 23 (4) (2022)
Zimo Huang, Jun Wang, Zhongmin Yan, Maozu Guo
Differentially expressed genes prediction by multiple self-attention on epigenetics data. Briefings Bioinform. 23 (3) (2022)
Dong Sui, Maozu Guo, Xiaoxuan Ma, Julian Baptiste, Lei Zhang
Imaging Biomarkers and Gene Expression Data Correlation Framework for Lung Cancer Radiogenomics Analysis Based on Deep Learning. IEEE Access 9 (2021)
Guoxian Yu, Jie Zeng, Jun Wang, Hong Zhang, Xiangliang Zhang, Maozu Guo
Imbalance deep multi-instance learning for predicting isoform-isoform interactions. Int. J. Intell. Syst. 36 (6) (2021)
Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks. ACM Trans. Knowl. Discov. Data 15 (1) (2021)
Runmin Wang, Guoxian Yu, Hong Zhang, Maozu Guo, Lizhen Cui, Xiangliang Zhang
Noise-robust Deep Cross-Modal Hashing. Inf. Sci. 581 (2021)
Yang Liu, Yuchen Guo, Xiaoyan Liu, Chunyu Wang, Maozu Guo
Pathogenic gene prediction based on network embedding. Briefings Bioinform. 22 (4) (2021)
Guoxian Yu, Guangjie Zhou, Xiangliang Zhang, Carlotta Domeniconi, Maozu Guo
DMIL-IsoFun: predicting isoform function using deep multi-instance learning. Bioinform. 37 (24) (2021)
Renfei Tu, Yang Liu, Yongzeng Xue, Cheng Wang, Maozu Guo
Neighbor Embedding Variational Autoencoder. CoRR (2021)
Haojiang Tan, Sichao Qiu, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo
Genome-Phenome Association Prediction by Deep Factorizing Heterogeneous Molecular Network. BIBM (2021)
Lina Liu, Shuang Yao, Zhaoyun Ding, Maozu Guo, Donghua Yu, Keli Hu
Drug-Target Interaction Prediction Based on Gaussian Interaction Profile and Information Entropy. ISBRA (2021)
Xin Wang, Jun Wang, Guoxian Yu, Beibei Xin, Maozu Guo
Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction. BIBM (2021)
Ziying Yang, Guoxian Yu, Maozu Guo, Jiantao Yu, Xiangliang Zhang, Jun Wang
CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Pengyue Wang, Maozu Guo, Yunsong Han, Lingling Zhao, Xiaoping Zhou, Dayu Zhang
Ensemble learning-based hierarchical retrieval of similar cases for site planning. J. Comput. Des. Eng. 8 (6) (2021)
Ping Xuan, Yu Zhang, Hui Cui, Tiangang Zhang, Maozu Guo, Toshiya Nakaguchi
Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction. Briefings Bioinform. 22 (5) (2021)
Yingwen Zhao, Jun Wang, Maozu Guo, Xiangliang Zhang, Guoxian Yu
Cross-Species Protein Function Prediction with Asynchronous-Random Walk. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Tianming Liang, Yang Liu, Xiaoyan Liu, Gaurav Sharma, Maozu Guo
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs. CoRR (2021)
Qiuyue Huang, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu
IsoDA: Isoform-Disease Association Prediction by Multiomics Data Fusion. J. Comput. Biol. 28 (8) (2021)
Yuanlin Yang, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Maozu Guo
MetaMIML: Meta Multi-Instance Multi-Label Learning. CoRR (2021)
Chunyu Wang, Jialin Li, Xiaoyan Liu, Maozu Guo
Predicting Sub-Golgi Apparatus Resident Protein With Primary Sequence Hybrid Features. IEEE Access 8 (2020)
Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
Multi-label crowd consensus via joint matrix factorization. Knowl. Inf. Syst. 62 (4) (2020)
Lin Jiang, Guoxian Yu, Maozu Guo, Jun Wang
Feature selection with missing labels based on label compression and local feature correlation. Neurocomputing 395 (2020)
Guoxian Yu, Keyao Wang, Guangyuan Fu, Maozu Guo, Jun Wang
NMFGO: Gene Function Prediction via Nonnegative Matrix Factorization with Gene Ontology. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (1) (2020)
Chunyu Wang, Jialin Li, Ying Zhang, Maozu Guo
Identification of Type VI Effector Proteins Using a Novel Ensemble Classifier. IEEE Access 8 (2020)
Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo
Epistasis Detection using Heterogeneous Bio-molecular Network. BIBM (2020)
Huiling Zhang, Guoxian Yu, Wei Ren, Maozu Guo, Jun Wang
EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings. ISBRA (2020)
Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo
Partial Multi-label Learning with Label and Feature Collaboration. CoRR (2020)
Yang Li, Yang Liu, GuoJun Liu, Maozu Guo
Weakly supervised semantic segmentation by iterative superpixel-CRF refinement with initial clues guiding. Neurocomputing 391 (2020)
Guangjie Zhou, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu
Predicting functions of maize proteins using graph convolutional network. BMC Bioinform. (16) (2020)
Dong Sui, Maozu Guo, Fei Yang, Lei Zhang
Point Supervised Extended Scenario Nuclear Analysis Framework Based on LSTM-CFCN. IEEE Access 8 (2020)
Xiaoping Zhou, Qingsheng Xie, Maozu Guo, Jichao Zhao, Jia Wang
Accurate and Efficient Indoor Pathfinding Based on Building Information Modeling Data. IEEE Trans. Ind. Informatics 16 (12) (2020)
Guoxian Yu, Yuehui Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
Attributed heterogeneous network fusion via collaborative matrix tri-factorization. Inf. Fusion 63 (2020)
Qiguo Dai, Zhaowei Wang, Jinmiao Song, Xiaodong Duan, Maozu Guo, Zhen Tian
A Stacked Ensemble Learning Framework with Heterogeneous Feature Combinations for Predicting ncRNA-Protein Interaction. BIBM (2020)
Chunyu Wang, Kai Sun, Juexin Wang, Maozu Guo
Data fusion-based algorithm for predicting miRNA-Disease associations. Comput. Biol. Chem. 88 (2020)
Sufang Li, Jun Wang, Maozu Guo, Xiangliang Zhang
Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction. BIBM (2020)
Guoxian Yu, Keyao Wang, Carlotta Domeniconi, Maozu Guo, Jun Wang
Isoform function prediction based on bi-random walks on a heterogeneous network. Bioinform. 36 (1) (2020)
Maozu Guo, Shutong Liang, Lingling Zhao, Pengyue Wang
Transportation Mode Recognition With Deep Forest Based on GPS Data. IEEE Access 8 (2020)
Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo
Partial Multi-label Learning with Label and Feature Collaboration. DASFAA (1) (2020)
Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo
Multiple Independent Subspace Clusterings. CoRR (2019)
Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo
Multiple Independent Subspace Clusterings. AAAI (2019)
GuoJun Liu, Yang Liu, Maozu Guo, Peng Li, Mingyu Li
Variational inference with Gaussian mixture model and householder flow. Neural Networks 109 (2019)
Donghua Yu, GuoJun Liu, Maozu Guo, Xiaoyan Liu, Shuang Yao
Density Peaks Clustering Based on Weighted Local Density Sequence and Nearest Neighbor Assignment. IEEE Access 7 (2019)
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo
Ranking-based Deep Cross-modal Hashing. CoRR (2019)
Yuehui Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang, Maozu Guo
Selective Matrix Factorization for Multi-relational Data Fusion. DASFAA (1) (2019)
Yuehui Wang, Maozu Guo, Yazhou Ren, Lianyin Jia, Guoxian Yu
Drug repositioning based on individual bi-random walks on a heterogeneous network. BMC Bioinform. (15) (2019)
Pengyue Wang, Maozu Guo, Lingling Zhao, Yu Zhang
城市空气质量感知方法综述 (Review on Urban Air Quality Perception Methods). 计算机科学 46 (6A) (2019)
Jie Zeng, Guoxian Yu, Jun Wang, Maozu Guo, Xiangliang Zhang
DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method. BIBM (2019)
Ziying Yang, Guoxian Yu, Maozu Guo, Jun Wang
CoDP: Cooperative Driver Pathways Discovery With Matrix Factorization and Tri-Random Walk. IEEE Access 7 (2019)
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo
Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization. AAAI (2019)
Ziying Yang, Guoxian Yu, Jiantao Yu, Maozu Guo, Jun Wang
CoPath: discovering cooperative driver pathways using greedy mutual exclusivity and bi-clustering. BIBM (2019)
Juan Wang, Maozu Guo
IGNet: Constructing Rooted Phylogenetic Networks Based on Incompatible Graphs. ICNC-FSKD (2019)
Xiaoping Zhou, Jichao Zhao, Jia Wang, Dingding Su, Haiyan Zhang, Ming Guo, Maozu Guo, Zhi Li
OutDet: an algorithm for extracting the outer surfaces of building information models for integration with geographic information systems. Int. J. Geogr. Inf. Sci. 33 (7) (2019)
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo
Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization. CoRR (2019)
Juan Wang, Maozu Guo
A review of metrics measuring dissimilarity for rooted phylogenetic networks. Briefings Bioinform. 20 (6) (2019)
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo
Ranking-Based Deep Cross-Modal Hashing. AAAI (2019)
Xiangxiang Zeng, Wei Lin, Maozu Guo, Quan Zou
Details in the evaluation of circular RNA detection tools: Reply to Chen and Chuang. PLoS Comput. Biol. 15 (4) (2019)
Shixin Yao, Guoxian Yu, Xing Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo
Discovering Multiple Co-Clusterings in Subspaces. SDM (2019)
Peng Li, Maozu Guo, Bo Sun
Integration of multi-omics data to mine cancer-related gene modules. J. Bioinform. Comput. Biol. 17 (6) (2019)
Maozu Guo, Donghua Yu, GuoJun Liu, Xiaoyan Liu, Shuang Cheng
Drug-target interaction data cluster analysis based on improving the density peaks clustering algorithm. Intell. Data Anal. 23 (6) (2019)
Peng Li, Bo Sun, Maozu Guo
Identification of Novel Cancer-Related Genes with a Prognostic Role Using Gene Expression and Protein-Protein Interaction Network Data. J. Comput. Inf. Technol. 27 (3) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Maozu Guo