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Guoxian Yu
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Publications
- 2024
- [j85]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) - [j83]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
- [j81]Jun Wang, Xi Chen, Zhengtian Wu, Maozu Guo, Guoxian Yu:
Cooperative driver pathways discovery by multiplex network embedding. Briefings Bioinform. 24(3) (2023) - [j79]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) - [j75]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) - [c61]Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo:
Reinforcement Causal Structure Learning on Order Graph. AAAI 2023: 10737-10744 - [c59]Dezhi Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Maozu Guo:
Causal Discovery by Graph Attention Reinforcement Learning. SDM 2023: 28-36 - 2022
- [j74]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) - [j73]Sichao Qiu, Guoxian Yu, Xudong Lu, Carlotta Domeniconi, Maozu Guo:
Isoform function prediction by Gene Ontology embedding. Bioinform. 38(19): 4581-4588 (2022) - [j70]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) - [j69]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) - [j68]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) - [j66]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) - [c58]Haojiang Tan, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo:
Phenotype Prediction by Heterogeneous Molecular Network Embedding. BIBM 2022: 116-121 - [i23]Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo:
Reinforcement Causal Structure Learning on Order Graph. CoRR abs/2211.12151 (2022) - 2021
- [j61]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) - [j59]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) - [j56]Runmin Wang, Guoxian Yu, Hong Zhang, Maozu Guo, Lizhen Cui, Xiangliang Zhang:
Noise-robust Deep Cross-Modal Hashing. Inf. Sci. 581: 136-154 (2021) - [j55]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) - [j52]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) - [j51]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) - [j48]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) - [c55]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 - [c54]Xin Wang, Jun Wang, Guoxian Yu, Beibei Xin, Maozu Guo:
Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction. BIBM 2021: 314-319 - [i15]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
- [j45]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) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j38]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) - [c47]Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo:
Epistasis Detection using Heterogeneous Bio-molecular Network. BIBM 2020: 194-199 - [c44]Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo:
Partial Multi-label Learning with Label and Feature Collaboration. DASFAA (1) 2020: 621-637 - [c36]Huiling Zhang, Guoxian Yu, Wei Ren, Maozu Guo, Jun Wang:
EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings. ISBRA 2020: 56-67 - [i14]Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo:
Partial Multi-label Learning with Label and Feature Collaboration. CoRR abs/2003.07578 (2020) - 2019
- [j37]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) - [j35]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) - [c33]Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo:
Ranking-Based Deep Cross-Modal Hashing. AAAI 2019: 4400-4407 - [c32]Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo:
Multiple Independent Subspace Clusterings. AAAI 2019: 5353-5360 - [c31]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 - [c30]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 - [c29]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 - [c27]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 - [c21]Shixin Yao, Guoxian Yu, Xing Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo:
Discovering Multiple Co-Clusterings in Subspaces. SDM 2019: 423-431 - [i11]Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo:
Multiple Independent Subspace Clusterings. CoRR abs/1905.04191 (2019) - [i10]Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo:
Ranking-based Deep Cross-modal Hashing. CoRR abs/1905.04450 (2019) - [i8]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
- [j30]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) - [c20]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 - [c19]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 - 2015
- [j13]Guo-Xian Yu, Hailong Zhu, Carlotta Domeniconi, Maozu Guo:
Integrating multiple networks for protein function prediction. BMC Syst. Biol. 9(S-1): S3 (2015)
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last updated on 2024-08-23 19:27 CEST by the dblp team
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