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ORCIDMaozu Guo 0001
Mao-Zu Guo 0001
Person information
- affiliation: Beijing University of Civil Engineering and Architecture, School of Electrical and Information Engineering, China
- affiliation: Harbin Institute of Technology, School of Computer Science and Technology, China
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2020 – today
- 2024
[j107]Chang Ming-Yu
, Tian Le, Maozu Guo:
Bayesian Neural Network-Based Equipment Operational Trend Prediction Method Using Channel Attention Mechanism. IEEE Access 12: 33792-33802 (2024)- [j106]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): 3337-3350 (2024) - [j105]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) - [j104]Jiaxuan Liang, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo:
Gradient-Based Local Causal Structure Learning. IEEE Trans. Cybern. 54(1): 486-495 (2024) - [j103]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): 2534-2544 (2024) - 2023
- [j102]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: 127422-127430 (2023) - [j101]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) - [j100]Jun Wang, Xi Chen, Zhengtian Wu, Maozu Guo, Guoxian Yu:
Cooperative driver pathways discovery by multiplex network embedding. Briefings Bioinform. 24(3) (2023) - [j99]Qian Wang, Maozu Guo, Jian Chen, Ran Duan:
A gene regulatory network inference model based on pseudo-siamese network. BMC Bioinform. 24(1): 163 (2023) - [j98]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: 107541 (2023) - [j97]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: 272-283 (2023) - [j96]Huiyun Wang, Maozu Guo, Le Tian:
A Deep Learning Model with Signal Decomposition and Informer Network for Equipment Vibration Trend Prediction. Sensors 23(13): 5819 (2023) - [j95]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): 340-351 (2023) - [j94]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): 6852-6865 (2023) - [j93]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): 10845-10856 (2023) - [c59]Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo:
Reinforcement Causal Structure Learning on Order Graph. AAAI 2023: 10737-10744 - [c58]Dezhi Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Maozu Guo:
Causal Discovery by Graph Attention Reinforcement Learning. SDM 2023: 28-36 - [i9]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 abs/2310.18912 (2023) - 2022
- [j92]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) - [j91]Zimo Huang, Jun Wang, Zhongmin Yan, Maozu Guo:
Differentially expressed genes prediction by multiple self-attention on epigenetics data. Briefings Bioinform. 23(3) (2022) - [j90]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) - [j89]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) - [j88]Sichao Qiu, Guoxian Yu, Xudong Lu, Carlotta Domeniconi, Maozu Guo:
Isoform function prediction by Gene Ontology embedding. Bioinform. 38(19): 4581-4588 (2022) - [j87]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): 5375-5384 (2022) - [j86]Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo:
Weakly Supervised Cross-Modal Hashing. IEEE Trans. Big Data 8(2): 552-563 (2022) - [j85]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): 243-254 (2022) - [j84]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): 2166-2176 (2022) - [j83]Guoxian Yu, Qiuyue Huang, Xiangliang Zhang, Maozu Guo, Jun Wang:
Tissue Specificity Based Isoform Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 3048-3059 (2022) - [j82]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): 1810-1820 (2022) - [j81]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): 2822-2829 (2022) - [c57]Xiaoting Wang, Juan Wang, Haodong Bian, Maozu Guo:
Sub-Loc: predicting protein sub-mitochondrial localization based on sequence embedding. BIBM 2022: 81-85 - [c56]Haojiang Tan, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo:
Phenotype Prediction by Heterogeneous Molecular Network Embedding. BIBM 2022: 116-121 - [c55]Shuai Chen, Juan Wang, Maozu Guo:
A new method for predicting plant proteins function based on multi label classification algorithm. BIBM 2022: 2067-2073 - [c54]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: 2119-2126 - [i8]Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo:
Reinforcement Causal Structure Learning on Order Graph. CoRR abs/2211.12151 (2022) - 2021
- [j80]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: 125247-125257 (2021) - [j79]Yang Liu, Yuchen Guo, Xiaoyan Liu, Chunyu Wang, Maozu Guo:
Pathogenic gene prediction based on network embedding. Briefings Bioinform. 22(4) (2021) - [j78]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) - [j77]Guoxian Yu, Guangjie Zhou, Xiangliang Zhang, Carlotta Domeniconi, Maozu Guo:
DMIL-IsoFun: predicting isoform function using deep multi-instance learning. Bioinform. 37(24): 4818-4825 (2021) - [j76]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): 2797-2824 (2021) - [j75]Runmin Wang, Guoxian Yu, Hong Zhang, Maozu Guo, Lizhen Cui, Xiangliang Zhang:
Noise-robust Deep Cross-Modal Hashing. Inf. Sci. 581: 136-154 (2021) - [j74]Qiuyue Huang, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu:
IsoDA: Isoform-Disease Association Prediction by Multiomics Data Fusion. J. Comput. Biol. 28(8): 804-819 (2021) - [j73]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): 1548-1561 (2021) - [j72]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): 1384-1395 (2021) - [j71]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): 1439-1450 (2021) - [j70]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): 12:1-12:24 (2021) - [c53]Haojiang Tan, Sichao Qiu, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo:
Genome-Phenome Association Prediction by Deep Factorizing Heterogeneous Molecular Network. BIBM 2021: 211-216 - [c52]Xin Wang, Jun Wang, Guoxian Yu, Beibei Xin, Maozu Guo:
Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction. BIBM 2021: 314-319 - [c51]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: 388-399 - [i7]Renfei Tu, Yang Liu, Yongzeng Xue, Cheng Wang, Maozu Guo:
Neighbor Embedding Variational Autoencoder. CoRR abs/2103.11349 (2021) - [i6]Tianming Liang, Yang Liu, Xiaoyan Liu, Gaurav Sharma, Maozu Guo:
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs. CoRR abs/2105.11225 (2021) - [i5]Yuanlin Yang, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Maozu Guo:
MetaMIML: Meta Multi-Instance Multi-Label Learning. CoRR abs/2111.04112 (2021) - 2020
- [j69]Chunyu Wang, Jialin Li, Xiaoyan Liu, Maozu Guo:
Predicting Sub-Golgi Apparatus Resident Protein With Primary Sequence Hybrid Features. IEEE Access 8: 4442-4450 (2020) - [j68]Chunyu Wang, Jialin Li, Ying Zhang, Maozu Guo:
Identification of Type VI Effector Proteins Using a Novel Ensemble Classifier. IEEE Access 8: 75085-75093 (2020) - [j67]Dong Sui, Maozu Guo, Fei Yang, Lei Zhang:
Point Supervised Extended Scenario Nuclear Analysis Framework Based on LSTM-CFCN. IEEE Access 8: 76867-76879 (2020) - [j66]Maozu Guo, Shutong Liang, Lingling Zhao, Pengyue Wang:
Transportation Mode Recognition With Deep Forest Based on GPS Data. IEEE Access 8: 150891-150901 (2020) - [j65]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): 303-310 (2020) - [j64]Guangjie Zhou, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu:
Predicting functions of maize proteins using graph convolutional network. BMC Bioinform. 21-S(16): 420 (2020) - [j63]Chunyu Wang, Kai Sun, Juexin Wang, Maozu Guo:
Data fusion-based algorithm for predicting miRNA-Disease associations. Comput. Biol. Chem. 88: 107357 (2020) - [j62]Yang Li, Yang Liu, GuoJun Liu, Maozu Guo:
Weakly supervised semantic segmentation by iterative superpixel-CRF refinement with initial clues guiding. Neurocomputing 391: 25-41 (2020) - [j61]Lin Jiang, Guoxian Yu, Maozu Guo, Jun Wang:
Feature selection with missing labels based on label compression and local feature correlation. Neurocomputing 395: 95-106 (2020) - [j60]Guoxian Yu, Yuehui Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang:
Attributed heterogeneous network fusion via collaborative matrix tri-factorization. Inf. Fusion 63: 153-165 (2020) - [j59]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): 1341-1369 (2020) - [j58]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): 238-249 (2020) - [j57]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): 7459-7468 (2020) - [c50]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: 67-71 - [c49]Sufang Li, Jun Wang, Maozu Guo, Xiangliang Zhang:
Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction. BIBM 2020: 115-120 - [c48]Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo:
Epistasis Detection using Heterogeneous Bio-molecular Network. BIBM 2020: 194-199 - [c47]Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo:
Partial Multi-label Learning with Label and Feature Collaboration. DASFAA (1) 2020: 621-637 - [c46]Huiling Zhang, Guoxian Yu, Wei Ren, Maozu Guo, Jun Wang:
EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings. ISBRA 2020: 56-67 - [i4]Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo:
Partial Multi-label Learning with Label and Feature Collaboration. CoRR abs/2003.07578 (2020)
2010 – 2019
- 2019
- [j56]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: 34301-34317 (2019) - [j55]Ziying Yang, Guoxian Yu, Maozu Guo, Jun Wang:
CoDP: Cooperative Driver Pathways Discovery With Matrix Factorization and Tri-Random Walk. IEEE Access 7: 77738-77749 (2019) - [j54]Juan Wang, Maozu Guo:
A review of metrics measuring dissimilarity for rooted phylogenetic networks. Briefings Bioinform. 20(6): 1972-1980 (2019) - [j53]Yuehui Wang, Maozu Guo, Yazhou Ren, Lianyin Jia, Guoxian Yu:
Drug repositioning based on individual bi-random walks on a heterogeneous network. BMC Bioinform. 20-S(15): 547 (2019) - [j52]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): 57-71 (2019) - [j51]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): 1444-1470 (2019) - [j50]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): 1335-1353 (2019) - [j49]Peng Li, Maozu Guo, Bo Sun:
Integration of multi-omics data to mine cancer-related gene modules. J. Bioinform. Comput. Biol. 17(6): 1950038:1-1950038:24 (2019) - [j48]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): 35-40 (2019) - [j47]GuoJun Liu, Yang Liu, Maozu Guo, Peng Li, Mingyu Li:
Variational inference with Gaussian mixture model and householder flow. Neural Networks 109: 43-55 (2019) - [j46]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) - [c45]Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo:
Ranking-Based Deep Cross-Modal Hashing. AAAI 2019: 4400-4407 - [c44]Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo:
Multiple Independent Subspace Clusterings. AAAI 2019: 5353-5360 - [c43]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: 5508-5515 - [c42]Ziying Yang, Guoxian Yu, Jiantao Yu, Maozu Guo, Jun Wang:
CoPath: discovering cooperative driver pathways using greedy mutual exclusivity and bi-clustering. BIBM 2019: 165-170 - [c41]Jie Zeng, Guoxian Yu, Jun Wang, Maozu Guo, Xiangliang Zhang:
DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method. BIBM 2019: 171-176 - [c40]Yuehui Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang, Maozu Guo:
Selective Matrix Factorization for Multi-relational Data Fusion. DASFAA (1) 2019: 313-329 - [c39]Juan Wang, Maozu Guo:
IGNet: Constructing Rooted Phylogenetic Networks Based on Incompatible Graphs. ICNC-FSKD 2019: 894-900 - [c38]Shixin Yao, Guoxian Yu, Xing Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo:
Discovering Multiple Co-Clusterings in Subspaces. SDM 2019: 423-431 - [i3]Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo:
Multiple Independent Subspace Clusterings. CoRR abs/1905.04191 (2019) - [i2]Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo:
Ranking-based Deep Cross-modal Hashing. CoRR abs/1905.04450 (2019) - [i1]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 abs/1905.05061 (2019) - 2018
- [j45]Long Zhang, Guoxian Yu, Maozu Guo, Jun Wang:
Predicting protein-protein interactions using high-quality non-interacting pairs. BMC Bioinform. 19-S(19): 105-124 (2018) - [j44]Zhen Tian, Zhixia Teng, Shuang Cheng, Maozu Guo:
Computational drug repositioning using meta-path-based semantic network analysis. BMC Syst. Biol. 12(9): 134 (2018) - [j43]Haoyan Guo, Sicong Song, Jinke Wang, Maozu Guo, Yuanzhi Cheng, Yadong Wang, Shinichi Tamura:
3D surface voxel tracing corrector for accurate bone segmentation. Int. J. Comput. Assist. Radiol. Surg. 13(10): 1549-1563 (2018) - [j42]Donghua Yu, GuoJun Liu, Maozu Guo, Xiaoyan Liu:
An improved K-medoids algorithm based on step increasing and optimizing medoids. Expert Syst. Appl. 92: 464-473 (2018) - [j41]Linlin Xing, Maozu Guo, Xiaoyan Liu, Chunyu Wang:
Identification and prioritization of differentially expressed genes for time-series gene expression data. Frontiers Comput. Sci. 12(4): 813-823 (2018) - [j40]Yang Li, Yang Liu, GuoJun Liu, Deming Zhai, Maozu Guo:
Weakly supervised semantic segmentation based on EM algorithm with localization clues. Neurocomputing 275: 2574-2587 (2018) - [j39]Zhiyong Pan, Yang Liu, GuoJun Liu, Maozu Guo, Yang Li:
Topic network: topic model with deep learning for image classification. J. Electronic Imaging 27(03): 033009 (2018) - [j38]Zhiyong Pan, Yang Liu, GuoJun Liu, Maozu Guo, Mingyu Li:
Spatial topic pyramid model: topic model with regional spatial information. J. Electronic Imaging 27(05): 053025 (2018) - [j37]Deming Zhai, Xianming Liu, Hong Chang, Yi Zhen, Xilin Chen, Maozu Guo, Wen Gao:
Parametric local multiview hamming distance metric learning. Pattern Recognit. 75: 250-262 (2018) - [c37]Guoxian Yu, Yuehui Wang, Jun Wang, Guangyuan Fu, Maozu Guo, Carlotta Domeniconi:
Weighted matrix factorization based data fusion for predicting lncRNA-disease associations. BIBM 2018: 572-577 - [c36]Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo:
Multi-label Answer Aggregation Based on Joint Matrix Factorization. ICDM 2018: 517-526 - [c35]Maozu Guo, Weining Wu, Yang Liu:
Active Framework by Sparsity Exploitation for Constructing a Training Set. ICIC (1) 2018: 334-346 - [c34]Deming Zhai, Ao Li, Yang Li, Yang Liu, GuoJun Liu, Xianming Liu, Maozu Guo:
Discrete Manifold-Regularized Collaborative Filtering for Large-Scale Recommender Systems. PCM (1) 2018: 513-523 - 2017
- [j36]Zhixia Teng, Maozu Guo, Xiaoyan Liu, Zhen Tian, Kai Che:
Revealing protein functions based on relationships of interacting proteins and GO terms. J. Biomed. Semant. 8-S(1): 9-17 (2017) - [j35]Zhen Tian, Maozu Guo, Chunyu Wang, Linlin Xing, Lei Wang, Yin Zhang:
Constructing an integrated gene similarity network for the identification of disease genes. J. Biomed. Semant. 8-S(1): 27-41 (2017) - [j34]Zhen Tian, Maozu Guo, Chunyu Wang, Xiaoyan Liu, Shiming Wang:
Refine gene functional similarity network based on interaction networks. BMC Bioinform. 18(16): 183-193 (2017) - [j33]Xiangxiang Zeng, Wei Lin, Maozu Guo, Quan Zou:
A comprehensive overview and evaluation of circular RNA detection tools. PLoS Comput. Biol. 13(6) (2017) - 2016
- [j32]Zhen Tian, Chunyu Wang, Maozu Guo, Xiaoyan Liu, Zhixia Teng:
SGFSC: speeding the gene functional similarity calculation based on hash tables. BMC Bioinform. 17: 445:1-445:14 (2016) - [j31]Zhen Tian, Chunyu Wang, Maozu Guo, Xiaoyan Liu, Zhixia Teng:
An improved method for functional similarity analysis of genes based on Gene Ontology. BMC Syst. Biol. 10(4): 465-484 (2016) - [j30]Pan Li, Yang Liu, GuoJun Liu, Maozu Guo, Zhiyong Pan:
A robust local sparse coding method for image classification with Histogram Intersection Kernel. Neurocomputing 184: 36-42 (2016) - [j29]Shuang Cheng, Maozu Guo, Chunyu Wang, Xiaoyan Liu, Yang Liu, Xuejian Wu:
MiRTDL: A Deep Learning Approach for miRNA Target Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 13(6): 1161-1169 (2016) - [c33]Linlin Xing, Maozu Guo, Xiaoyan Liu, Chun-yu Wang, Lei Wang, Yin Zhang:
Reconstructing gene regulatory network based on candidate auto selection method. BIBM 2016: 235-241 - [c32]Kai Che, Xiaoyan Liu, Maozu Guo, Junwei Zhang, Lei Wang, Yin Zhang:
Epistasis detection using a permutation-based Gradient Boosting Machine. BIBM 2016: 1247-1252 - [c31]Zhen Tian, Maozu Guo, Chunyu Wang, Linlin Xing, Lei Wang, Yin Zhang:
Constructing an integrated gene similarity network for the identification of disease genes. BIBM 2016: 1663-1668 - [c30]Zhixia Teng, Maozu Guo, Xiaoyan Liu, Zhen Tian, Kai Che:
Revealing protein functions based on relationships of interacting proteins and GO terms. BIBM 2016: 1689-1694 - 2015
- [j28]Quan Zou, Qinghua Hu, Maozu Guo, Guohua Wang:
HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy. Bioinform. 31(15): 2475-2481 (2015) - [j27]Guo-Xian Yu, Hailong Zhu, Carlotta Domeniconi, Maozu Guo:
Integrating multiple networks for protein function prediction. BMC Syst. Biol. 9(S-1): S3 (2015) - [j26]Weining Wu, Shaobin Huang, Maozu Guo:
Actively constructing an effective training set by expected gain maximization criterion. Neurocomputing 158: 62-72 (2015) - [j25]GuoJun Liu, Xianglong Tang, Maozu Guo, Yang Liu:
Harmonious competition learning for Gaussian mixtures. Neurocomputing 170: 228-239 (2015) - [c29]GuoJun Liu, Yang Liu, Maozu Guo, Peina Liu, Chun-yu Wang:
Non-negative Locality-Constrained Linear Coding for Image Classification. IScIDE (1) 2015: 462-471 - [c28]Zhiyong Pan, Yang Liu, GuoJun Liu, Maozu Guo, Yang Li:
Topic Network: Topic Model with Deep Learning for Image Classification. KSEM 2015: 525-534 - 2014
- [j24]Yungang Xu, Maozu Guo, Xiaoyan Liu, Chun-yu Wang, Yang Liu:
SoyFN: a knowledge database of soybean functional networks. Database J. Biol. Databases Curation 2014 (2014) - [j23]Yungang Xu, Maozu Guo, Xiaoyan Liu, Chun-yu Wang, Yang Liu:
Inferring the soybean (Glycine max) microRNA functional network based on target gene network. Bioinform. 30(1): 94-103 (2014) - [j22]Qiguo Dai, Mao-Zu Guo, Xiao-Yan Liu, Zhixia Teng, Chunyu Wang:
CPL: Detecting Protein Complexes by Propagating Labels on Protein-Protein Interaction Network. J. Comput. Sci. Technol. 29(6): 1083-1093 (2014) - [c27]Shuang Cheng, Maozu Guo, Chun-yu Wang, Xiaoyan Liu, Yang Liu:
Identification of functional miRNA regulatory modules and their associations via dynamic miRNA regulatory function. BIBM 2014: 1-7 - [c26]Yang Liu, Zhongqiu Wang, Maozu Guo, Ping Li:
Hidden conditional random field for lung nodule detection. ICIP 2014: 3518-3521 - 2013
- [j21]Zhixia Teng, Maozu Guo, Xiaoyan Liu, Qiguo Dai, Chun-yu Wang, Ping Xuan:
Measuring gene functional similarity based on group-wise comparison of GO terms. Bioinform. 29(11): 1424-1432 (2013) - [j20]Juan Wang, Maozu Guo, Xiaoyan Liu, Yang Liu, Chun-yu Wang, Linlin Xing, Kai Che:
Lnetwork: an efficient and effective method for constructing phylogenetic networks. Bioinform. 29(18): 2269-2276 (2013) - [j19]Weining Wu, Yang Liu, Maozu Guo, Chun-yu Wang, Xiaoyan Liu:
A probabilistic model of active learning with multiple noisy oracles. Neurocomputing 118: 253-262 (2013) - [c25]Qiguo Dai, Maozu Guo, Yang Liu, Xiaoyan Liu, Ling Chen:
MLPA: Detecting overlapping communities by multi-label propagation approach. IEEE Congress on Evolutionary Computation 2013: 681-688 - [c24]Juan Wang, Maozu Guo, Kai Che, Chun-yu Wang, Xiaoyan Liu, Yang Liu:
A new distance computing method for DNA sequences in phylogenetic analysis. FSKD 2013: 690-694 - [c23]Weining Wu, Yang Liu, Wei Zeng, Maozu Guo, Chun-yu Wang, Xiaoyan Liu:
Effective constructing training sets for object detection. ICIP 2013: 3377-3380 - 2012
- [j18]Yanjuan Li, Maozu Guo:
A new relational Tri-training system with adaptive data editing for inductive logic programming. Knowl. Based Syst. 35: 173-185 (2012) - [j17]Dong Yue, Jia Meng, Mingzhu Lu, C. L. Philip Chen, Maozu Guo, Yufei Huang:
Understanding MicroRNA Regulation: A computational perspective. IEEE Signal Process. Mag. 29(1): 77-88 (2012) - [j16]Qinghua Hu, Weiwei Pan, Lei Zhang, David Zhang, Yanping Song, Maozu Guo, Daren Yu:
Feature Selection for Monotonic Classification. IEEE Trans. Fuzzy Syst. 20(1): 69-81 (2012) - [j15]Qinghua Hu, Xunjian Che, Lei Zhang, David Zhang, Maozu Guo, Daren Yu:
Rank Entropy-Based Decision Trees for Monotonic Classification. IEEE Trans. Knowl. Data Eng. 24(11): 2052-2064 (2012) - [c22]Yanjuan Li, Maozu Guo:
Phase transition and New Fitness Function based Genetic Inductive Logic Programming algorithm. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c21]Yanjuan Li, Maozu Guo:
Connection of the beam width and the learning success rate in the phase transition framework for relational learning. FSKD 2012: 865-869 - [c20]Yanjuan Li, Maozu Guo:
Fitness Function Based on Binding and Recall Rate for Genetic Inductive Logic Programming. ICSI (1) 2012: 422-427 - 2011
- [j14]Ping Xuan, Maozu Guo, Xiaoyan Liu, Yangchao Huang, Wenbin Li, Yufei Huang:
PlantMiRNAPred: efficient classification of real and pseudo plant pre-miRNAs. Bioinform. 27(10): 1368-1376 (2011) - [j13]Maozu Guo, Chao Deng, Yang Liu, Ping Li:
Tri-training and MapReduce-based massive data learning. Int. J. Gen. Syst. 40(4): 355-380 (2011) - [j12]Yanjuan Li, Maozu Guo:
Web Page Classification Using Relational Learning Algorithm and Unlabeled Data. J. Comput. 6(3): 474-479 (2011) - [j11]Chao Deng, Maozu Guo:
A new co-training-style random forest for computer aided diagnosis. J. Intell. Inf. Syst. 36(3): 253-281 (2011) - [c19]Yang Liu, Maozu Guo, Wanyu Liu:
Detection of playfield with shadow and its application to player tracking. MLSP 2011: 1-5 - 2010
- [j10]Jiantao Yu, Maozu Guo, Chris J. Needham, Yangchao Huang, Lu Cai, David R. Westhead:
Simple sequence-based kernels do not predict protein-protein interactions. Bioinform. 26(20): 2610-2614 (2010) - [j9]Qinghua Hu, Maozu Guo, Daren Yu, Jinfu Liu:
Information entropy for ordinal classification. Sci. China Inf. Sci. 53(6): 1188-1200 (2010) - [j8]Quan Zou, Maozu Guo, Yang Liu, Ping Xuan:
DuplexFinder: Predicting the miRNA - miRNA* duplex from the animal precursors. Int. J. Bioinform. Res. Appl. 6(1): 69-81 (2010) - [j7]Qinghua Hu, Daren Yu, Maozu Guo:
Fuzzy preference based rough sets. Inf. Sci. 180(10): 2003-2022 (2010) - [c18]Jun Wang, Maozu Guo:
A graph and hierarchical clustering based approach for population structure inference. BCB 2010: 346-349 - [c17]Ping Xuan, Maozu Guo, Lei-lei Shi, Jun Wang, Xiaoyan Liu, Wenbin Li, Yingpeng Han:
Two-stage clustering based effective sample selection for classification of pre-miRNAs. BIBM 2010: 549-552 - [c16]Jun Wang, Maozu Guo:
SNPs and entropy based hierarchical clustering method for genetic phylogeny analysis. FSKD 2010: 2229-2233
2000 – 2009
- 2009
- [j6]Jun Wang, Maozu Guo, Chun-yu Wang:
CGTS: a site-clustering graph based tagSNP selection algorithm in genotype data. BMC Bioinform. 10(S-1) (2009) - [j5]Quan Zou, Tuo Zhao, Yang Liu, Maozu Guo:
Predicting RNA secondary structure based on the class information and Hopfield network. Comput. Biol. Medicine 39(3): 206-214 (2009) - [j4]Liang Zhao, Maozu Guo, Lipo Wang:
Editorial. Soft Comput. 13(12): 1123-1124 (2009) - [j3]Maozu Guo, Jun Wang, Chun-yu Wang, Yang Liu:
A hybrid clustering and graph based algorithm for tagSNP selection. Soft Comput. 13(12): 1143-1151 (2009) - [c15]Quan Zou, Maozu Guo, Chun-yu Wang, Yingpeng Han, Wenbin Li:
Novel H/ACA Box snoRNA Mining and Secondary Structure Prediction Algorithms. RSKT 2009: 538-546 - 2008
- [j2]Maozu Guo, Jian-Fu Li, Yang Liu:
A topological transformation in evolutionary tree search methods based on maximum likelihood combining p-ECR and neighbor joining. BMC Bioinform. 9(S-6) (2008) - [c14]Quan Zou, Maozu Guo, Yang Liu, Zhi-An Xing:
A Novel Comparative Sequence Analysis Method for ncRNA Secondary Structure Prediction without Multiple Sequence Alignment. ICNC (5) 2008: 29-33 - [c13]Lei Xu, Maozu Guo, Quan Zou, Yang Liu, Haifeng Li:
An Improved Diverse Density Algorithm for Multiple Overlapped Instances. ICNC (3) 2008: 88-91 - [c12]Jian-Tao Yu, Mao-Zu Guo:
Prediction of Protein-Protein Interactions from Secondary Structures in Binding Motifs Using the Statistic Method. ICNC (5) 2008: 100-103 - [c11]Jun Wang, Maozu Guo, Juan Chen, Yang Liu:
TagSNPs Selection Using Maximum Density Subgraph. ICNC (5) 2008: 128-132 - [c10]Chao Deng, Maozu Guo, Yang Liu, Haifeng Li:
Participatory Learning Based Semi-Supervised Classification. ICNC (4) 2008: 207-216 - [e7]Maozu Guo, Liang Zhao, Lipo Wang:
Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 1. IEEE Computer Society 2008, ISBN 978-0-7695-3304-9 [contents] - [e6]Maozu Guo, Liang Zhao, Lipo Wang:
Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 2. IEEE Computer Society 2008 [contents] - [e5]Maozu Guo, Liang Zhao, Lipo Wang:
Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 3. IEEE Computer Society 2008 [contents] - [e4]Maozu Guo, Liang Zhao, Lipo Wang:
Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 4. IEEE Computer Society 2008 [contents] - [e3]Maozu Guo, Liang Zhao, Lipo Wang:
Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 5. IEEE Computer Society 2008 [contents] - [e2]Maozu Guo, Liang Zhao, Lipo Wang:
Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 6. IEEE Computer Society 2008 [contents] - [e1]Maozu Guo, Liang Zhao, Lipo Wang:
Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 7. IEEE Computer Society 2008 [contents] - 2007
- [c9]Jing Zhang, Maozu Guo, Yang Yu:
Methods and Simulations for the Protein Folding. BIOCOMP 2007: 383-386 - [c8]Jing Zhang, Maozu Guo, Yang Yu:
Simulations of Protein Folding Process. BIOCOMP 2007: 387-391 - [c7]Taotao Zhang, Maozu Guo, Quan Zou:
RNA Secondary Structure Prediction Based on Forest Representation and Genetic Algorithm. ICNC (4) 2007: 370-374 - [c6]Maozu Guo, Jian-Fu Li, Yang Liu:
Improving the Efficiency of p-ECR Moves in Evolutionary Tree Search Methods Based on Maximum Likelihood by Neighbor Joining. IMSCCS 2007: 60-67 - [c5]Jing Zhang, Yan-bo Li, Maozu Guo:
Real-time Competition Simulation System. IMSCCS 2007: 318-321 - [c4]Jing Zhang, Yang Yu, Maozu Guo:
Computer Simulation for Protein Folding. MSV 2007: 128-131 - 2006
- [c3]Chao Deng, Maozu Guo:
Tri-training and Data Editing Based Semi-supervised Clustering Algorithm. MICAI 2006: 641-651 - 2005
- [c2]Yongqiang Zhan, Maozu Guo:
A Permutation-Based Genetic Algorithm for Predicting RNA Secondary Structure-A Practicable Approach. FSKD (2) 2005: 861-864 - [c1]Maozu Guo, Jian-Fu Li:
Improving Retrieval Performance with the Combination of Thesauri and Automatic Relevance Feedback. ICMLC 2005: 322-328 - 2004
- [j1]Maozu Guo, Yang Liu, Jacek Malec:
A new Q-learning algorithm based on the metropolis criterion. IEEE Trans. Syst. Man Cybern. Part B 34(5): 2140-2143 (2004)
Coauthor Index
Xiaoyan Liu
aka: Xiao-Yan Liu
aka: Xiao-Yan Liu
Chun-yu Wang
aka: Chunyu Wang
aka: Chunyu Wang
[j104] [j103] [j100] [j97] [j95] [j93] [c59] [c58] [j91] [j90] [j86] [j85] [j84] [j83] [c56] [i8] [j76] [j74] [j72] [j71] [j70] [c53] [c52] [i5] [j65] [j64] [j61] [j60] [j59] [j58] [c49] [c48] [c47] [c46] [i4] [j55] [c45] [c44] [c43] [c42] [c41] [c40] [c38] [i3] [i2] [i1] [j45] [c37] [c36] [c18] [c17] [c16] [j6] [j3] [c11]
Guoxian Yu
aka: Guo-Xian Yu
aka: Guo-Xian Yu
[j104] [j103] [j100] [j97] [j93] [c59] [c58] [j90] [j88] [j86] [j85] [j84] [j83] [c56] [i8] [j77] [j76] [j75] [j74] [j72] [j71] [j70] [c53] [c52] [i5] [j65] [j64] [j61] [j60] [j59] [j58] [c48] [c47] [c46] [i4] [j55] [j53] [c45] [c44] [c43] [c42] [c41] [c40] [c38] [i3] [i2] [i1] [j45] [c37] [c36] [j27]
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