Maozu Guo

206 papers A* 5A 2B 4C 1Misc 1Journal 133Unranked 53
YearRankTypeTitle / Venue / Authors
2026 J jnl
AM-A2C: Cloud computing task scheduling algorithm based on attention mechanism and action mutation.
Future Gener. Comput. Syst.
Yuzhang Zhang, Le Tian, Maozu Guo
2026 J jnl
CRTSE: Clustering and Reinforcement Learning Based Task Scheduling Algorithm for Edge Computing.
IEEE Trans. Cloud Comput.
Haoyu Liu, Le Tian, Maozu Guo
2026 J jnl
Ctfnet: toward high generalization medical image segmentation via coarse-to-fine structures for multi-center datasets.
Vis. Comput.
Dong Sui, Sitong Bao, Donghui Lei, Yacong Li, Maozu Guo, Xiangyu Li, Kuanquan Wang, Gongning Luo
2026 J jnl
GL 2 T -Diff: Medical image translation via spatial-frequency fusion diffusion models.
Comput. Vis. Image Underst.
Dong Sui, Nanting Song, Xiao Tian, Han Zhou, Yacong Li, Maozu Guo, Kuanquan Wang, Gongning Luo
2026 J jnl
ProteoformDB: an integrative database for functional roles of proteoforms.
Database J. Biol. Databases Curation
Hanwen Luo, Sichao Qiu, Maozu Guo, Beibei Xin, Jun Wang, Guoxian Yu
2026 J jnl
Weakly supervised single-stage crack detection based on multi-scale feature fusion.
Intell. Data Anal.
Ke Shen, Yang Li, Yacong Li, Maozu Guo, Dong Sui
2025 — conf
A Dual-Domain Framework with Wavelet Attention for Cardiac Ultrasound Image Quality Assessment.
BIBM
Dong Sui, Zhehao Xu, Nanting Song, Yacong Li, Maozu Guo, Gongning Luo, Kuanquan Wang, Henggui Zhang
2025 J jnl
DHAG-DTA: Dynamic Hierarchical Affinity Graph Model for Drug-Target Binding Affinity Prediction.
IEEE Trans. Comput. Biol. Bioinform.
Cheng Wang, Yang Liu, Shitao Song, Kun Cao, Xiaoyan Liu, Gaurav Sharma, Maozu Guo
2025 J jnl
DM3diff: A novel multi-center, multi-modality and multi-source medical image segmentation framework based on DWT embeded diffusion model.
Knowl. Based Syst.
Dong Sui, Xiao Tian, Yacong Li, Maozu Guo, Xiangyu Li, Kuanquan Wang, Gongning Luo
2025 J jnl
ESDN: edge computing task scheduling strategy based on dilated convolutional neural network and quasi-newton algorithm.
Clust. Comput.
Haoyu Liu, Le Tian, Maozu Guo
2025 — conf
FMPNet: A Multi-Features Fusion Framework for Predicting Neoadjuvant Chemoradiotherapy Efficacy in Locally Advanced Rectal Cancer.
BIBM
Dong Sui, Nanting Song, Zhehao Xu, Yacong Li, Maozu Guo, Gongning Luo, Kuanquan Wang, Henggui Zhang
2025 — conf
Multi-Scale Feature Fusion Network for the Prediction of Protein-Protein Binding Affinity Changes upon Mutations.
BIBM
Hao Zhang, Yang Liu, Limin Yu, Zejie Wang, Yifei Liu, Maozu Guo
2025 J jnl
Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling.
IEEE Trans. Neural Networks Learn. Syst.
Zehong Wang, Donghua Yu, Shigen Shen, Shichao Zhang, Huawen Liu, Shuang Yao, Maozu Guo
2025 J jnl
Syn-Net: A Synchronous Frequency-Perception Fusion Network for Breast Tumor Segmentation in Ultrasound Images.
IEEE J. Biomed. Health Informatics
Guangzhe Zhao, Xingguo Zhu, Xueping Wang, Feihu Yan, Maozu Guo
2025 J jnl
Vision-based adaptive cross-domain online product recommendation for 3D design models.
Comput. Aided Civ. Infrastructure Eng.
Xiaoping Zhou, Qin Si, Gen Liu, Zhen-Zhong Hu, Yukang Wang, Haoran Li, Maozu Guo, Song Xia, Chao Tan, Qingsheng Xie
2024 J jnl
A MLP-Mixer and mixture of expert model for remaining useful life prediction of lithium-ion batteries.
Frontiers Comput. Sci.
Lingling Zhao, Shitao Song, Pengyan Wang, Chunyu Wang, Junjie Wang, Maozu Guo
2024 J jnl
A Multi-Feature and Dual-Attribute Interaction Aggregation Model for Predicting Drug-Target Interactions.
IEEE Access
Yuandong Liu, Haoqin Yang, Longbo Zhang, Hongzhen Cai, Maozu Guo, Linlin Xing
2024 J jnl
A Recommendation Approach Based on Heterogeneous Network and Dynamic Knowledge Graph.
Int. J. Intell. Syst.
Shanshan Wan, Yuquan Wu, Ying Liu, Linhu Xiao, Maozu Guo
2024 J jnl
BAMRE: Joint extraction model of Chinese medical entities and relations based on Biaffine transformation with relation attention.
J. Biomed. Informatics
Jiaqi Sun, Chen Zhang, Linlin Xing, Longbo Zhang, Hongzhen Cai, Maozu Guo
2024 J jnl
Bayesian Neural Network-Based Equipment Operational Trend Prediction Method Using Channel Attention Mechanism.
IEEE Access
Chang Ming-Yu, Tian Le, Maozu Guo
2024 J jnl
Detection of Road Crack Images Based on Multistage Feature Fusion and a Texture Awareness Method.
Sensors
Maozu Guo, Wenbo Tian, Yang Li, Dong Sui
2024 J jnl
Equivariant score-based generative diffusion framework for 3D molecules.
BMC Bioinform.
Hao Zhang, Yang Liu, Xiaoyan Liu, Cheng Wang, Maozu Guo
2024 — conf
FTMSNet: Towards boundary-aware polyp segmentation framework based on hybrid Fourier Transform and Multi-scale Subtraction.
BIBM
Guangzhe Zhao, Sihao Chen, Xueping Wang, Feihu Yan, Maozu Guo
2024 J jnl
Gradient-Based Local Causal Structure Learning.
IEEE Trans. Cybern.
Jiaxuan Liang, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo
2024 J jnl
Joint Biomedical Entity and Relation Extraction Based on Multi-Granularity Convolutional Tokens Pairs of Labeling.
Comput. Mater. Continua
Zhaojie Sun, Linlin Xing, Longbo Zhang, Hongzhen Cai, Maozu Guo
2024 — conf
MHANDTI: Drug-Target Interaction Prediction Model Based on Heterogeneous Graph Multi-Hop Attention Networks.
BIBM
Chen Zhang, Jiaqi Sun, Linlin Xing, Longbo Zhang, Hongzhen Cai, Maozu Guo
2024 J jnl
MIMR: Modality-Invariance Modeling and Refinement for unsupervised visible-infrared person re-identification.
Knowl. Based Syst.
Zhiqi Pang, Chunyu Wang, Honghu Pan, Lingling Zhao, Junjie Wang, Maozu Guo
2024 J jnl
Personalized Federated Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui
2024 — conf
Product Anomaly Detection on Heterogeneous Graphs with Sparse Labels.
APWeb/WAIM (3)
Dan Yin, Sihang Fang, Tianshuo Wang, Maozu Guo
2024 J jnl
Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction.
IEEE Trans. Knowl. Data Eng.
Hao Zhang, Yang Liu, Xiaoyan Liu, Tianming Liang, Gaurav Sharma, Liang Xue, Maozu Guo
2024 J jnl
V-GMR: a variational autoencoder-based heterogeneous graph multi-behavior recommendation model.
Appl. Intell.
Haoqin Yang, Ran Rang, Linlin Xing, Longbo Zhang, Hongzhen Cai, Maozu Guo, Jiaqi Sun
2024 — conf
YMamba: A Dual-Branch Network Fusing State Space Model and CNN for Medical Image Segmentation.
BIBM
Guangzhe Zhao, Sihao Chen, Feihu Yan, Xueping Wang, Maozu Guo
2023 J jnl
A Deep Learning Model with Signal Decomposition and Informer Network for Equipment Vibration Trend Prediction.
Sensors
Huiyun Wang, Maozu Guo, Le Tian
2023 — conf
A Novel Effectiveness Assessment Framework for Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer Based on Multi-modal Intelligence.
BIBM
Xiao Tian, Dong Sui, Weifeng Liu, Maozu Guo, Gongning Luo, Kuanquan Wang
2023 J jnl
A gene regulatory network inference model based on pseudo-siamese network.
BMC Bioinform.
Qian Wang, Maozu Guo, Jian Chen, Ran Duan
2023 A conf
Causal Discovery by Graph Attention Reinforcement Learning.
SDM
Dezhi Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Maozu Guo
2023 J jnl
ColonNet: A novel polyp segmentation framework based on LK-RFB and GPPD.
Comput. Biol. Medicine
Dong Sui, Weifeng Liu, Yue Zhang, Yang Li, Gongning Luo, Kuanquan Wang, Maozu Guo
2023 J jnl
Cooperative driver pathways discovery by multiplex network embedding.
Briefings Bioinform.
Jun Wang, Xi Chen, Zhengtian Wu, Maozu Guo, Guoxian Yu
2023 J jnl
Differential Gene Expression Prediction by Ensemble Deep Networks on Histone Modification Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zimo Huang, Jun Wang, Zhongmin Yan, Lin Wan, Maozu Guo
2023 J jnl
Directed Acyclic Graph Learning on Attributed Heterogeneous Network.
IEEE Trans. Knowl. Data Eng.
Jiaxuan Liang, Jun Wang, Guoxian Yu, Wei Guo, Carlotta Domeniconi, Maozu Guo
2023 J jnl
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs.
IEEE Trans. Knowl. Data Eng.
Tianming Liang, Yang Liu, Xiaoyan Liu, Hao Zhang, Gaurav Sharma, Maozu Guo
2023 J jnl
Joint Biomedical Entity and Relation Extraction Based on Feature Filter Table Labeling.
IEEE Access
Zhaojie Sun, Linlin Xing, Longbo Zhang, Hongzhen Cai, Maozu Guo
2023 J jnl
Meta Multi-Instance Multi-Label learning by heterogeneous network fusion.
Inf. Fusion
Sichao Qiu, Mengyi Wang, Yuanlin Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Carlotta Domeniconi, Maozu Guo
2023 J jnl
Predicting microbe-drug associations with structure-enhanced contrastive learning and self-paced negative sampling strategy.
Briefings Bioinform.
Zhen Tian, Yue Yu, Haichuan Fang, Weixin Xie, Maozu Guo
2023 A* conf
Reinforcement Causal Structure Learning on Order Graph.
AAAI
Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo
2023 J jnl
Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction.
CoRR
Hao Zhang, Yang Liu, Xiaoyan Liu, Tianming Liang, Gaurav Sharma, Liang Xue, Maozu Guo
2022 — conf
A new method for predicting plant proteins function based on multi label classification algorithm.
BIBM
Shuai Chen, Juan Wang, Maozu Guo
2022 J jnl
DeepIDA: Predicting Isoform-Disease Associations by Data Fusion and Deep Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform.
Guoxian Yu, Yeqian Yang, Yangyang Yan, Maozu Guo, Xiangliang Zhang, Jun Wang
2022 J jnl
DeepRCI: Predicting ATP-Binding Proteins Using the Residue-Residue Contact Information.
IEEE J. Biomed. Health Informatics
Zhaoxi Zhang, Yulan Zhao, Juan Wang, Maozu Guo
2022 J jnl
Differentially expressed genes prediction by multiple self-attention on epigenetics data.
Briefings Bioinform.
Zimo Huang, Jun Wang, Zhongmin Yan, Maozu Guo
2022 J jnl
ELSSI: parallel SNP-SNP interactions detection by ensemble multi-type detectors.
Briefings Bioinform.
Xin Wang, Xia Cao, Yuantao Feng, Maozu Guo, Guoxian Yu, Jun Wang
2022 J jnl
EpiMC: Detecting Epistatic Interactions Using Multiple Clusterings.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jun Wang, Huiling Zhang, Wei Ren, Maozu Guo, Guoxian Yu
2022 — conf
Flexible ConvNext Block Based Multi-task Learning Framework for Liver MRI Images Analysis.
BIBM
Dong Sui, Weifeng Liu, Maozu Guo, Yang Li, Lei Zhang, Gongning Luo, Kuanquan Wang
2022 J jnl
GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs.
Briefings Bioinform.
Qiguo Dai, Ziqiang Liu, Zhaowei Wang, Xiaodong Duan, Maozu Guo
2022 J jnl
Isoform function prediction by Gene Ontology embedding.
Bioinform.
Sichao Qiu, Guoxian Yu, Xudong Lu, Carlotta Domeniconi, Maozu Guo
2022 — conf
Phenotype Prediction by Heterogeneous Molecular Network Embedding.
BIBM
Haojiang Tan, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo
2022 J jnl
Predicting miRNA-disease associations using an ensemble learning framework with resampling method.
Briefings Bioinform.
Qiguo Dai, Zhaowei Wang, Ziqiang Liu, Xiaodong Duan, Jinmiao Song, Maozu Guo
2022 J jnl
Reinforcement Causal Structure Learning on Order Graph.
CoRR
Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo
2022 J jnl
SACC: A Size Adaptive Content Caching Algorithm in Fog/Edge Computing Using Deep Reinforcement Learning.
IEEE Trans. Emerg. Top. Comput.
Xiaoping Zhou, Zhenlong Liu, Maozu Guo, Jichao Zhao, Jialin Wang
2022 — conf
Sub-Loc: predicting protein sub-mitochondrial localization based on sequence embedding.
BIBM
Xiaoting Wang, Juan Wang, Haodong Bian, Maozu Guo
2022 J jnl
Tissue Specificity Based Isoform Function Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Guoxian Yu, Qiuyue Huang, Xiangliang Zhang, Maozu Guo, Jun Wang
2022 J jnl
Weakly Supervised Cross-Modal Hashing.
IEEE Trans. Big Data
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
2021 J jnl
CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ziying Yang, Guoxian Yu, Maozu Guo, Jiantao Yu, Xiangliang Zhang, Jun Wang
2021 J jnl
Cross-Species Protein Function Prediction with Asynchronous-Random Walk.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yingwen Zhao, Jun Wang, Maozu Guo, Xiangliang Zhang, Guoxian Yu
2021 J jnl
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks.
ACM Trans. Knowl. Discov. Data
Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
2021 J jnl
DMIL-IsoFun: predicting isoform function using deep multi-instance learning.
Bioinform.
Guoxian Yu, Guangjie Zhou, Xiangliang Zhang, Carlotta Domeniconi, Maozu Guo
2021 J jnl
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs.
CoRR
Tianming Liang, Yang Liu, Xiaoyan Liu, Gaurav Sharma, Maozu Guo
2021 — conf
Drug-Target Interaction Prediction Based on Gaussian Interaction Profile and Information Entropy.
ISBRA
Lina Liu, Shuang Yao, Zhaoyun Ding, Maozu Guo, Donghua Yu, Keli Hu
2021 J jnl
Ensemble learning-based hierarchical retrieval of similar cases for site planning.
J. Comput. Des. Eng.
Pengyue Wang, Maozu Guo, Yunsong Han, Lingling Zhao, Xiaoping Zhou, Dayu Zhang
2021 — conf
Genome-Phenome Association Prediction by Deep Factorizing Heterogeneous Molecular Network.
BIBM
Haojiang Tan, Sichao Qiu, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo
2021 J jnl
Imaging Biomarkers and Gene Expression Data Correlation Framework for Lung Cancer Radiogenomics Analysis Based on Deep Learning.
IEEE Access
Dong Sui, Maozu Guo, Xiaoxuan Ma, Julian Baptiste, Lei Zhang
2021 J jnl
Imbalance deep multi-instance learning for predicting isoform-isoform interactions.
Int. J. Intell. Syst.
Guoxian Yu, Jie Zeng, Jun Wang, Hong Zhang, Xiangliang Zhang, Maozu Guo
2021 J jnl
Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction.
Briefings Bioinform.
Ping Xuan, Yu Zhang, Hui Cui, Tiangang Zhang, Maozu Guo, Toshiya Nakaguchi
2021 J jnl
IsoDA: Isoform-Disease Association Prediction by Multiomics Data Fusion.
J. Comput. Biol.
Qiuyue Huang, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu
2021 — conf
Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction.
BIBM
Xin Wang, Jun Wang, Guoxian Yu, Beibei Xin, Maozu Guo
2021 J jnl
MetaMIML: Meta Multi-Instance Multi-Label Learning.
CoRR
Yuanlin Yang, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Maozu Guo
2021 J jnl
Neighbor Embedding Variational Autoencoder.
CoRR
Renfei Tu, Yang Liu, Yongzeng Xue, Cheng Wang, Maozu Guo
2021 J jnl
Noise-robust Deep Cross-Modal Hashing.
Inf. Sci.
Runmin Wang, Guoxian Yu, Hong Zhang, Maozu Guo, Lizhen Cui, Xiangliang Zhang
2021 J jnl
Pathogenic gene prediction based on network embedding.
Briefings Bioinform.
Yang Liu, Yuchen Guo, Xiaoyan Liu, Chunyu Wang, Maozu Guo
2020 — conf
A Stacked Ensemble Learning Framework with Heterogeneous Feature Combinations for Predicting ncRNA-Protein Interaction.
BIBM
Qiguo Dai, Zhaowei Wang, Jinmiao Song, Xiaodong Duan, Maozu Guo, Zhen Tian
2020 J jnl
Accurate and Efficient Indoor Pathfinding Based on Building Information Modeling Data.
IEEE Trans. Ind. Informatics
Xiaoping Zhou, Qingsheng Xie, Maozu Guo, Jichao Zhao, Jia Wang
2020 J jnl
Attributed heterogeneous network fusion via collaborative matrix tri-factorization.
Inf. Fusion
Guoxian Yu, Yuehui Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
2020 — conf
Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction.
BIBM
Sufang Li, Jun Wang, Maozu Guo, Xiangliang Zhang
2020 J jnl
Data fusion-based algorithm for predicting miRNA-Disease associations.
Comput. Biol. Chem.
Chunyu Wang, Kai Sun, Juexin Wang, Maozu Guo
2020 — conf
EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings.
ISBRA
Huiling Zhang, Guoxian Yu, Wei Ren, Maozu Guo, Jun Wang
2020 — conf
Epistasis Detection using Heterogeneous Bio-molecular Network.
BIBM
Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo
2020 J jnl
Feature selection with missing labels based on label compression and local feature correlation.
Neurocomputing
Lin Jiang, Guoxian Yu, Maozu Guo, Jun Wang
2020 J jnl
Identification of Type VI Effector Proteins Using a Novel Ensemble Classifier.
IEEE Access
Chunyu Wang, Jialin Li, Ying Zhang, Maozu Guo
2020 J jnl
Isoform function prediction based on bi-random walks on a heterogeneous network.
Bioinform.
Guoxian Yu, Keyao Wang, Carlotta Domeniconi, Maozu Guo, Jun Wang
2020 J jnl
Multi-label crowd consensus via joint matrix factorization.
Knowl. Inf. Syst.
Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
2020 J jnl
NMFGO: Gene Function Prediction via Nonnegative Matrix Factorization with Gene Ontology.
IEEE ACM Trans. Comput. Biol. Bioinform.
Guoxian Yu, Keyao Wang, Guangyuan Fu, Maozu Guo, Jun Wang
2020 — conf
Partial Multi-label Learning with Label and Feature Collaboration.
DASFAA (1)
Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo
2020 J jnl
Partial Multi-label Learning with Label and Feature Collaboration.
CoRR
Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo
2020 J jnl
Point Supervised Extended Scenario Nuclear Analysis Framework Based on LSTM-CFCN.
IEEE Access
Dong Sui, Maozu Guo, Fei Yang, Lei Zhang
2020 J jnl
Predicting Sub-Golgi Apparatus Resident Protein With Primary Sequence Hybrid Features.
IEEE Access
Chunyu Wang, Jialin Li, Xiaoyan Liu, Maozu Guo
2020 J jnl
Predicting functions of maize proteins using graph convolutional network.
BMC Bioinform.
Guangjie Zhou, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu
2020 J jnl
Transportation Mode Recognition With Deep Forest Based on GPS Data.
IEEE Access
Maozu Guo, Shutong Liang, Lingling Zhao, Pengyue Wang
2020 J jnl
Weakly supervised semantic segmentation by iterative superpixel-CRF refinement with initial clues guiding.
Neurocomputing
Yang Li, Yang Liu, Guojun Liu, Maozu Guo
2019 J jnl
A review of metrics measuring dissimilarity for rooted phylogenetic networks.
Briefings Bioinform.
Juan Wang, Maozu Guo
2019 J jnl
CoDP: Cooperative Driver Pathways Discovery With Matrix Factorization and Tri-Random Walk.
IEEE Access
Ziying Yang, Guoxian Yu, Maozu Guo, Jun Wang
2019 — conf
CoPath: discovering cooperative driver pathways using greedy mutual exclusivity and bi-clustering.
BIBM
Ziying Yang, Guoxian Yu, Jiantao Yu, Maozu Guo, Jun Wang
2019 — conf
DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method.
BIBM
Jie Zeng, Guoxian Yu, Jun Wang, Maozu Guo, Xiangliang Zhang
2019 J jnl
Density Peaks Clustering Based on Weighted Local Density Sequence and Nearest Neighbor Assignment.
IEEE Access
Donghua Yu, Guojun Liu, Maozu Guo, Xiaoyan Liu, Shuang Yao
2019 J jnl
Details in the evaluation of circular RNA detection tools: Reply to Chen and Chuang.
PLoS Comput. Biol.
Xiangxiang Zeng, Wei Lin, Maozu Guo, Quan Zou
2019 A conf
Discovering Multiple Co-Clusterings in Subspaces.
SDM
Shixin Yao, Guoxian Yu, Xing Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo
2019 J jnl
Drug repositioning based on individual bi-random walks on a heterogeneous network.
BMC Bioinform.
Yuehui Wang, Maozu Guo, Yazhou Ren, Lianyin Jia, Guoxian Yu
2019 J jnl
Drug-target interaction data cluster analysis based on improving the density peaks clustering algorithm.
Intell. Data Anal.
Maozu Guo, Donghua Yu, Guojun Liu, Xiaoyan Liu, Shuang Cheng
2019 — conf
IGNet: Constructing Rooted Phylogenetic Networks Based on Incompatible Graphs.
ICNC-FSKD
Juan Wang, Maozu Guo
2019 J jnl
Identification of Novel Cancer-Related Genes with a Prognostic Role Using Gene Expression and Protein-Protein Interaction Network Data.
J. Comput. Inf. Technol.
Peng Li, Bo Sun, Maozu Guo
2019 J jnl
Integration of multi-omics data to mine cancer-related gene modules.
J. Bioinform. Comput. Biol.
Peng Li, Maozu Guo, Bo Sun
2019 A* conf
Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization.
AAAI
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo
2019 J jnl
Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization.
CoRR
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo
2019 A* conf
Multiple Independent Subspace Clusterings.
AAAI
Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo
2019 J jnl
Multiple Independent Subspace Clusterings.
CoRR
Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo
2019 J jnl
OutDet: an algorithm for extracting the outer surfaces of building information models for integration with geographic information systems.
Int. J. Geogr. Inf. Sci.
Xiaoping Zhou, Jichao Zhao, Jia Wang, Dingding Su, Haiyan Zhang, Ming Guo, Maozu Guo, Zhi Li
2019 A* conf
Ranking-Based Deep Cross-Modal Hashing.
AAAI
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo
2019 J jnl
Ranking-based Deep Cross-modal Hashing.
CoRR
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo
2019 — conf
Selective Matrix Factorization for Multi-relational Data Fusion.
DASFAA (1)
Yuehui Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang, Maozu Guo
2019 J jnl
Variational inference with Gaussian mixture model and householder flow.
Neural Networks
Guojun Liu, Yang Liu, Maozu Guo, Peng Li, Mingyu Li
2019 J jnl
城市空气质量感知方法综述 (Review on Urban Air Quality Perception Methods).
计算机科学
Pengyue Wang, Maozu Guo, Lingling Zhao, Yu Zhang
2018 J jnl
3D surface voxel tracing corrector for accurate bone segmentation.
Int. J. Comput. Assist. Radiol. Surg.
Haoyan Guo, Sicong Song, Jinke Wang, Maozu Guo, Yuanzhi Cheng, Yadong Wang, Shinichi Tamura
2018 — conf
Active Framework by Sparsity Exploitation for Constructing a Training Set.
ICIC (1)
Maozu Guo, Weining Wu, Yang Liu
2018 J jnl
An improved K-medoids algorithm based on step increasing and optimizing medoids.
Expert Syst. Appl.
Donghua Yu, Guojun Liu, Maozu Guo, Xiaoyan Liu
2018 J jnl
Computational drug repositioning using meta-path-based semantic network analysis.
BMC Syst. Biol.
Zhen Tian, Zhixia Teng, Shuang Cheng, Maozu Guo
2018 — conf
Discrete Manifold-Regularized Collaborative Filtering for Large-Scale Recommender Systems.
PCM (1)
Deming Zhai, Ao Li, Yang Li, Yang Liu, Guojun Liu, Xianming Liu, Maozu Guo
2018 J jnl
Identification and prioritization of differentially expressed genes for time-series gene expression data.
Frontiers Comput. Sci.
Linlin Xing, Maozu Guo, Xiaoyan Liu, Chunyu Wang
2018 A* conf
Multi-label Answer Aggregation Based on Joint Matrix Factorization.
ICDM
Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
2018 J jnl
Parametric local multiview hamming distance metric learning.
Pattern Recognit.
Deming Zhai, Xianming Liu, Hong Chang, Yi Zhen, Xilin Chen, Maozu Guo, Wen Gao
2018 J jnl
Predicting protein-protein interactions using high-quality non-interacting pairs.
BMC Bioinform.
Long Zhang, Guoxian Yu, Maozu Guo, Jun Wang
2018 J jnl
Spatial topic pyramid model: topic model with regional spatial information.
J. Electronic Imaging
Zhiyong Pan, Yang Liu, Guojun Liu, Maozu Guo, Mingyu Li
2018 J jnl
Topic network: topic model with deep learning for image classification.
J. Electronic Imaging
Zhiyong Pan, Yang Liu, Guojun Liu, Maozu Guo, Yang Li
2018 J jnl
Weakly supervised semantic segmentation based on EM algorithm with localization clues.
Neurocomputing
Yang Li, Yang Liu, Guojun Liu, Deming Zhai, Maozu Guo
2018 — conf
Weighted matrix factorization based data fusion for predicting lncRNA-disease associations.
BIBM
Guoxian Yu, Yuehui Wang, Jun Wang, Guangyuan Fu, Maozu Guo, Carlotta Domeniconi
2017 J jnl
A comprehensive overview and evaluation of circular RNA detection tools.
PLoS Comput. Biol.
Xiangxiang Zeng, Wei Lin, Maozu Guo, Quan Zou
2017 J jnl
Constructing an integrated gene similarity network for the identification of disease genes.
J. Biomed. Semant.
Zhen Tian, Maozu Guo, Chunyu Wang, Linlin Xing, Lei Wang, Yin Zhang
2017 J jnl
Refine gene functional similarity network based on interaction networks.
BMC Bioinform.
Zhen Tian, Maozu Guo, Chunyu Wang, Xiaoyan Liu, Shiming Wang
2017 J jnl
Revealing protein functions based on relationships of interacting proteins and GO terms.
J. Biomed. Semant.
Zhixia Teng, Maozu Guo, Xiaoyan Liu, Zhen Tian, Kai Che
2016 J jnl
A robust local sparse coding method for image classification with Histogram Intersection Kernel.
Neurocomputing
Pan Li, Yang Liu, Guojun Liu, Maozu Guo, Zhiyong Pan
2016 J jnl
An improved method for functional similarity analysis of genes based on Gene Ontology.
BMC Syst. Biol.
Zhen Tian, Chunyu Wang, Maozu Guo, Xiaoyan Liu, Zhixia Teng
2016 — conf
Constructing an integrated gene similarity network for the identification of disease genes.
BIBM
Zhen Tian, Maozu Guo, Chunyu Wang, Linlin Xing, Lei Wang, Yin Zhang
2016 — conf
Epistasis detection using a permutation-based Gradient Boosting Machine.
BIBM
Kai Che, Xiaoyan Liu, Maozu Guo, Junwei Zhang, Lei Wang, Yin Zhang
2016 J jnl
MiRTDL: A Deep Learning Approach for miRNA Target Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shuang Cheng, Maozu Guo, Chunyu Wang, Xiaoyan Liu, Yang Liu, Xuejian Wu
2016 — conf
Reconstructing gene regulatory network based on candidate auto selection method.
BIBM
Linlin Xing, Maozu Guo, Xiaoyan Liu, Chunyu Wang, Lei Wang, Yin Zhang
2016 — conf
Revealing protein functions based on relationships of interacting proteins and GO terms.
BIBM
Zhixia Teng, Maozu Guo, Xiaoyan Liu, Zhen Tian, Kai Che
2016 J jnl
SGFSC: speeding the gene functional similarity calculation based on hash tables.
BMC Bioinform.
Zhen Tian, Chunyu Wang, Maozu Guo, Xiaoyan Liu, Zhixia Teng
2015 J jnl
Actively constructing an effective training set by expected gain maximization criterion.
Neurocomputing
Weining Wu, Shaobin Huang, Maozu Guo
2015 J jnl
HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy.
Bioinform.
Quan Zou, Qinghua Hu, Maozu Guo, Guohua Wang
2015 J jnl
Harmonious competition learning for Gaussian mixtures.
Neurocomputing
Guojun Liu, Xianglong Tang, Maozu Guo, Yang Liu
2015 J jnl
Integrating multiple networks for protein function prediction.
BMC Syst. Biol.
Guo-Xian Yu, Hailong Zhu, Carlotta Domeniconi, Maozu Guo
2015 — conf
Non-negative Locality-Constrained Linear Coding for Image Classification.
IScIDE (1)
Guojun Liu, Yang Liu, Maozu Guo, Peina Liu, Chunyu Wang
2015 C conf
Topic Network: Topic Model with Deep Learning for Image Classification.
KSEM
Zhiyong Pan, Yang Liu, Guojun Liu, Maozu Guo, Yang Li
2014 B conf
Hidden conditional random field for lung nodule detection.
ICIP
Yang Liu, Zhongqiu Wang, Maozu Guo, Ping Li
2014 — conf
Identification of functional miRNA regulatory modules and their associations via dynamic miRNA regulatory function.
BIBM
Shuang Cheng, Maozu Guo, Chunyu Wang, Xiaoyan Liu, Yang Liu
2014 J jnl
Inferring the soybean (
Bioinform.
Yungang Xu, Maozu Guo, Xiaoyan Liu, Chunyu Wang, Yang Liu
2014 J jnl
SoyFN: a knowledge database of soybean functional networks.
Database J. Biol. Databases Curation
Yungang Xu, Maozu Guo, Xiaoyan Liu, Chunyu Wang, Yang Liu
2013 — conf
A new distance computing method for DNA sequences in phylogenetic analysis.
FSKD
Juan Wang, Maozu Guo, Kai Che, Chunyu Wang, Xiaoyan Liu, Yang Liu
2013 J jnl
A probabilistic model of active learning with multiple noisy oracles.
Neurocomputing
Weining Wu, Yang Liu, Maozu Guo, Chunyu Wang, Xiaoyan Liu
2013 B conf
Effective constructing training sets for object detection.
ICIP
Weining Wu, Yang Liu, Wei Zeng, Maozu Guo, Chunyu Wang, Xiaoyan Liu
2013 J jnl
Lnetwork: an efficient and effective method for constructing phylogenetic networks.
Bioinform.
Juan Wang, Maozu Guo, Xiaoyan Liu, Yang Liu, Chunyu Wang, Linlin Xing, Kai Che
2013 B conf
MLPA: Detecting overlapping communities by multi-label propagation approach.
IEEE Congress on Evolutionary Computation
Qiguo Dai, Maozu Guo, Yang Liu, Xiaoyan Liu, Ling Chen
2013 J jnl
Measuring gene functional similarity based on group-wise comparison of GO terms.
Bioinform.
Zhixia Teng, Maozu Guo, Xiaoyan Liu, Qiguo Dai, Chunyu Wang, Ping Xuan
2012 J jnl
A new relational Tri-training system with adaptive data editing for inductive logic programming.
Knowl. Based Syst.
Yanjuan Li, Maozu Guo
2012 — conf
Connection of the beam width and the learning success rate in the phase transition framework for relational learning.
FSKD
Yanjuan Li, Maozu Guo
2012 J jnl
Feature Selection for Monotonic Classification.
IEEE Trans. Fuzzy Syst.
Qinghua Hu, Weiwei Pan, Lei Zhang, David Zhang, Yanping Song, Maozu Guo, Daren Yu
2012 — conf
Fitness Function Based on Binding and Recall Rate for Genetic Inductive Logic Programming.
ICSI (1)
Yanjuan Li, Maozu Guo
2012 B conf
Phase transition and New Fitness Function based Genetic Inductive Logic Programming algorithm.
IEEE Congress on Evolutionary Computation
Yanjuan Li, Maozu Guo
2012 J jnl
Rank Entropy-Based Decision Trees for Monotonic Classification.
IEEE Trans. Knowl. Data Eng.
Qinghua Hu, Xunjian Che, Lei Zhang, David Zhang, Maozu Guo, Daren Yu
2012 J jnl
Understanding MicroRNA Regulation: A computational perspective.
IEEE Signal Process. Mag.
Dong Yue, Jia Meng, Mingzhu Lu, C. L. Philip Chen, Maozu Guo, Yufei Huang
2011 J jnl
A new co-training-style random forest for computer aided diagnosis.
J. Intell. Inf. Syst.
Chao Deng, Maozu Guo
2011 — conf
Detection of playfield with shadow and its application to player tracking.
MLSP
Yang Liu, Maozu Guo, Wanyu Liu
2011 J jnl
Tri-training and MapReduce-based massive data learning.
Int. J. Gen. Syst.
Maozu Guo, Chao Deng, Yang Liu, Ping Li
2011 J jnl
Web Page Classification Using Relational Learning Algorithm and Unlabeled Data.
J. Comput.
Yanjuan Li, Maozu Guo
2010 — conf
A graph and hierarchical clustering based approach for population structure inference.
BCB
Jun Wang, Maozu Guo
2010 J jnl
DuplexFinder: Predicting the miRNA - miRNA* duplex from the animal precursors.
Int. J. Bioinform. Res. Appl.
Quan Zou, Maozu Guo, Yang Liu, Ping Xuan
2010 J jnl
Fuzzy preference based rough sets.
Inf. Sci.
Qinghua Hu, Daren Yu, Maozu Guo
2010 J jnl
Information entropy for ordinal classification.
Sci. China Inf. Sci.
Qinghua Hu, Maozu Guo, Daren Yu, Jinfu Liu
2010 — conf
SNPs and entropy based hierarchical clustering method for genetic phylogeny analysis.
FSKD
Jun Wang, Maozu Guo
2010 J jnl
Simple sequence-based kernels do not predict protein-protein interactions.
Bioinform.
Jiantao Yu, Maozu Guo, Chris J. Needham, Yangchao Huang, Lu Cai, David R. Westhead
2010 — conf
Two-stage clustering based effective sample selection for classification of pre-miRNAs.
BIBM
Ping Xuan, Maozu Guo, Lei-lei Shi, Jun Wang, Xiaoyan Liu, Wenbin Li, Yingpeng Han
2009 J jnl
A hybrid clustering and graph based algorithm for tagSNP selection.
Soft Comput.
Maozu Guo, Jun Wang, Chunyu Wang, Yang Liu
2009 J jnl
CGTS: a site-clustering graph based tagSNP selection algorithm in genotype data.
BMC Bioinform.
Jun Wang, Maozu Guo, Chunyu Wang
2009 J jnl
Editorial.
Soft Comput.
Liang Zhao, Maozu Guo, Lipo Wang
2009 — conf
Novel H/ACA Box snoRNA Mining and Secondary Structure Prediction Algorithms.
RSKT
Quan Zou, Maozu Guo, Chunyu Wang, Yingpeng Han, Wenbin Li
2009 J jnl
Predicting RNA secondary structure based on the class information and Hopfield network.
Comput. Biol. Medicine
Quan Zou, Tuo Zhao, Yang Liu, Maozu Guo
2008 — conf
A Novel Comparative Sequence Analysis Method for ncRNA Secondary Structure Prediction without Multiple Sequence Alignment.
ICNC (5)
Quan Zou, Maozu Guo, Yang Liu, Zhi-An Xing
2008 J jnl
A topological transformation in evolutionary tree search methods based on maximum likelihood combining p-ECR and neighbor joining.
BMC Bioinform.
Maozu Guo, Jian-Fu Li, Yang Liu
2008 — conf
An Improved Diverse Density Algorithm for Multiple Overlapped Instances.
ICNC (3)
Lei Xu, Maozu Guo, Quan Zou, Yang Liu, Haifeng Li
2008 — ed.
Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 1
ICNC (1)
Maozu Guo, Liang Zhao, Lipo Wang
2008 — ed.
Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 2
ICNC (2)
Maozu Guo, Liang Zhao, Lipo Wang
2008 — ed.
Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 3
ICNC (3)
Maozu Guo, Liang Zhao, Lipo Wang
2008 — ed.
Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 4
ICNC (4)
Maozu Guo, Liang Zhao, Lipo Wang
2008 — ed.
Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 5
ICNC (5)
Maozu Guo, Liang Zhao, Lipo Wang
2008 — ed.
Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 6
ICNC (6)
Maozu Guo, Liang Zhao, Lipo Wang
2008 — ed.
Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 7
ICNC (7)
Maozu Guo, Liang Zhao, Lipo Wang
2008 — conf
Participatory Learning Based Semi-Supervised Classification.
ICNC (4)
Chao Deng, Maozu Guo, Yang Liu, Haifeng Li
2008 — conf
TagSNPs Selection Using Maximum Density Subgraph.
ICNC (5)
Jun Wang, Maozu Guo, Juan Chen, Yang Liu
2007 — conf
Computer Simulation for Protein Folding.
MSV
Jing Zhang, Yang Yu, Maozu Guo
2007 — conf
Improving the Efficiency of p-ECR Moves in Evolutionary Tree Search Methods Based on Maximum Likelihood by Neighbor Joining.
IMSCCS
Maozu Guo, Jian-Fu Li, Yang Liu
2007 — conf
Methods and Simulations for the Protein Folding.
BIOCOMP
Jing Zhang, Maozu Guo, Yang Yu
2007 — conf
RNA Secondary Structure Prediction Based on Forest Representation and Genetic Algorithm.
ICNC (4)
Taotao Zhang, Maozu Guo, Quan Zou
2007 — conf
Real-time Competition Simulation System.
IMSCCS
Jing Zhang, Yan-bo Li, Maozu Guo
2007 — conf
Simulations of Protein Folding Process.
BIOCOMP
Jing Zhang, Maozu Guo, Yang Yu
2006 — conf
Tri-training and Data Editing Based Semi-supervised Clustering Algorithm.
MICAI
Chao Deng, Maozu Guo
2005 — conf
A Permutation-Based Genetic Algorithm for Predicting RNA Secondary Structure-A Practicable Approach.
FSKD (2)
Yongqiang Zhan, Maozu Guo
2005 Misc conf
Improving Retrieval Performance with the Combination of Thesauri and Automatic Relevance Feedback.
ICMLC
Maozu Guo, Jian-Fu Li
2004 J jnl
A new Q-learning algorithm based on the metropolis criterion.
IEEE Trans. Syst. Man Cybern. Part B
Maozu Guo, Yang Liu, Jacek Malec