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ORCIDGuoxian Yu
Guo-Xian Yu – 余国先
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- affiliation: Southwest University, Beibei, Chongqing, China
- unicode name: 余国先
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2020 – today
- 2024
[j88]Guoxian Yu, Liangrui Ren, Jun Wang
, Carlotta Domeniconi, Xiangliang Zhang:
Multiple clusterings: Recent advances and perspectives. Comput. Sci. Rev. 52: 100621 (2024)- [j87]Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi:
Few-shot partial multi-label learning with synthetic features network. Knowl. Inf. Syst. 66(2): 1167-1203 (2024) - [j86]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) - [j85]Xiangping Kang, Guoxian Yu, Lanju Kong, Carlotta Domeniconi, Xiangliang Zhang, Qingzhong Li:
FedTA: Federated Worthy Task Assignment for Crowd Workers. IEEE Trans. Dependable Secur. Comput. 21(4): 4098-4109 (2024) - [j84]Cong Su, Guoxian Yu, Yongqing Zheng, Jun Wang, Zhengtian Wu, Xiangliang Zhang, Carlotta Domeniconi:
Causality-Based Fair Multiple Decision by Response Functions. ACM Trans. Knowl. Discov. Data 18(3): 61:1-61:23 (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) - [c68]Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang:
Multi-Granularity Causal Structure Learning. AAAI 2024: 13727-13735 - [c67]Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu:
Multi-Dimensional Fair Federated Learning. AAAI 2024: 15083-15090 - [c66]Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang:
Federated Causality Learning with Explainable Adaptive Optimization. AAAI 2024: 16308-16315 - [c65]Xiangping Kang, Guoxian Yu, Qingzhong Li, Jun Wang, Hui Li, Carlotta Domeniconi:
Semi-Asynchronous Online Federated Crowdsourcing. ICDE 2024: 4180-4193 - [c64]Xiaoqiang Gui, Yueyao Cheng, Xiang-Rong Sheng, Yunfeng Zhao, Guoxian Yu, Shuguang Han, Yuning Jiang, Jian Xu, Bo Zheng:
Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction. WSDM 2024: 247-256 - 2023
- [j82]Zimo Huang, Jun Wang, Xudong Lu, Azlan Mohd Zain, Guoxian Yu:
scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network. Briefings Bioinform. 24(2) (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) - [j80]Liangrui Ren, Jun Wang, Zhao Li, Qingzhong Li, Guoxian Yu:
scMCs: a framework for single-cell multi-omics data integration and multiple clusterings. Bioinform. 39(4) (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) - [j78]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Xiayan Zhang, Lizhen Cui:
Few-shot partial multi-label learning via prototype rectification. Knowl. Inf. Syst. 65(4): 1851-1880 (2023) - [j77]Xingze Wang, Guoxian Yu, Zhongmin Yan, Lin Wan, Wei Wang, Lizhen Cui:
Lung Cancer Subtype Diagnosis by Fusing Image-Genomics Data and Hybrid Deep Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 512-523 (2023) - [j76]Liang-Rui Ren, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Xiangliang Zhang:
A Diversified Attention Model for Interpretable Multiple Clusterings. IEEE Trans. Knowl. Data Eng. 35(9): 8852-8864 (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) - [c63]Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang:
Incentive-Boosted Federated Crowdsourcing. AAAI 2023: 6021-6029 - [c62]Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang:
Long-Tail Cross Modal Hashing. AAAI 2023: 7642-7650 - [c61]Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo:
Reinforcement Causal Structure Learning on Order Graph. AAAI 2023: 10737-10744 - [c60]Yunfeng Zhao, Xu Yan, Xiaoqiang Gui, Shuguang Han, Xiang-Rong Sheng, Guoxian Yu, Jufeng Chen, Zhao Xu, Bo Zheng:
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction. CIKM 2023: 4981-4987 - [c59]Dezhi Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Maozu Guo:
Causal Discovery by Graph Attention Reinforcement Learning. SDM 2023: 28-36 - [i28]Yunfeng Zhao, Xu Yan, Xiaoqiang Gui, Shuguang Han, Xiang-Rong Sheng, Guoxian Yu, Jufeng Chen, Zhao Xu, Bo Zheng:
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction. CoRR abs/2308.04768 (2023) - [i27]Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang:
Federated Causality Learning with Explainable Adaptive Optimization. CoRR abs/2312.05540 (2023) - [i26]Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang:
Multi-granularity Causal Structure Learning. CoRR abs/2312.05549 (2023) - [i25]Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu:
Multi-dimensional Fair Federated Learning. CoRR abs/2312.05551 (2023) - [i24]Xiaoqiang Gui, Yueyao Cheng, Xiang-Rong Sheng, Yunfeng Zhao, Guoxian Yu, Shuguang Han, Yuning Jiang, Jian Xu, Bo Zheng:
Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction. CoRR abs/2312.08727 (2023) - 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) - [j72]Xingze Wang, Guoxian Yu, Jun Wang, Azlan Mohd Zain, Wei Guo:
Lung cancer subtype diagnosis using weakly-paired multi-omics data. Bioinform. 38(22): 5092-5099 (2022) - [j71]Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Xiayan Zhang, Lizhen Cui:
Self-paced annotations of crowd workers. Knowl. Inf. Syst. 64(12): 3235-3263 (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) - [j67]Jun Wang, Long Zhang, An Zeng, Dawen Xia, Jiantao Yu, Guoxian Yu:
DeepIII: Predicting Isoform-Isoform Interactions by Deep Neural Networks and Data Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2177-2187 (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) - [j65]Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xiangliang Zhang:
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples. IEEE Trans. Knowl. Data Eng. 34(5): 2091-2105 (2022) - [j64]Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Flexible Cross-Modal Hashing. IEEE Trans. Neural Networks Learn. Syst. 33(1): 304-314 (2022) - [j63]Guoxian Yu, Yuying Xing, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multiview Multi-Instance Multilabel Active Learning. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4311-4321 (2022) - [c58]Haojiang Tan, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo:
Phenotype Prediction by Heterogeneous Molecular Network Embedding. BIBM 2022: 116-121 - [c57]Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi:
Few-shot Partial Multi-label Learning with Data Augmentation. ICDM 2022: 478-487 - [c56]Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang:
Graph Alignment with Noisy Supervision. WWW 2022: 1104-1114 - [i23]Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo:
Reinforcement Causal Structure Learning on Order Graph. CoRR abs/2211.12151 (2022) - [i22]Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang:
Incentive-boosted Federated Crowdsourcing. CoRR abs/2211.14439 (2022) - [i21]Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang:
Long-tail Cross Modal Hashing. CoRR abs/2211.15162 (2022) - 2021
- [j62]Jun Wang, Ziying Yang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu:
Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathways. Briefings Bioinform. 22(2): 1984-1999 (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) - [j60]Zhao Li, Yuying Xing, Jiaming Huang, Haobo Wang, Jianliang Gao, Guoxian Yu:
Large-scale online multi-view graph neural network and applications. Future Gener. Comput. Syst. 116: 145-155 (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) - [j58]Cong Su, Zhongmin Yan, Guoxian Yu:
Cost-effective multi-instance multilabel active learning. Int. J. Intell. Syst. 36(12): 7177-7203 (2021) - [j57]Xiaoqiang Gui, Xudong Lu, Guoxian Yu:
Cost-effective Batch-mode Multi-label Active Learning. Neurocomputing 463: 355-367 (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) - [j54]Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multiple clusterings of heterogeneous information networks. Mach. Learn. 110(6): 1505-1526 (2021) - [j53]Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lili Pan, Dezhong Yao, Guoxian Yu:
Dual self-paced multi-view clustering. Neural Networks 140: 184-192 (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) - [j50]Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Individuality- and Commonality-Based Multiview Multilabel Learning. IEEE Trans. Cybern. 51(3): 1716-1727 (2021) - [j49]Jun Wang, Xing Wang, Guoxian Yu, Carlotta Domeniconi, Zhiwen Yu, Zili Zhang:
Discovering Multiple Co-Clusterings With Matrix Factorization. IEEE Trans. Cybern. 51(7): 3576-3587 (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) - [j47]Xianxue Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi:
Co-Clustering Ensembles Based on Multiple Relevance Measures. IEEE Trans. Knowl. Data Eng. 33(4): 1389-1400 (2021) - [j46]Guoxian Yu, Jinzheng Tu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Active Multilabel Crowd Consensus. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1448-1459 (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 - [c53]Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui:
Crowdsourcing with Self-paced Workers. ICDM 2021: 280-289 - [c52]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui:
Few-Shot Partial Multi-Label Learning. ICDM 2021: 926-935 - [c51]Chuanwei Qu, Kuangmeng Wang, Hong Zhang, Guoxian Yu, Carlotta Domeniconi:
Incomplete Multi-view Multi-label Active Learning. ICDM 2021: 1294-1299 - [c50]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi:
Few-Shot Partial-Label Learning. IJCAI 2021: 3448-3454 - [c49]Yuanlin Yang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning. SDM 2021: 486-494 - [i20]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi:
Few-Shot Partial-Label Learning. CoRR abs/2106.00984 (2021) - [i19]Guangyang Han, Guoxian Yu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Crowdsourcing with Meta-Workers: A New Way to Save the Budget. CoRR abs/2111.04068 (2021) - [i18]Guangyang Han, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Open-Set Crowdsourcing using Multiple-Source Transfer Learning. CoRR abs/2111.04073 (2021) - [i17]Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Cross-modal Zero-shot Hashing by Label Attributes Embedding. CoRR abs/2111.04080 (2021) - [i16]Runmin Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Meta Cross-Modal Hashing on Long-Tailed Data. CoRR abs/2111.04086 (2021) - [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) - [j44]Keyao Wang, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu:
Differentiating isoform functions with collaborative matrix factorization. Bioinform. 36(6): 1864-1871 (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) - [j39]Guangjin Ou, Guoxian Yu, Carlotta Domeniconi, Xuequan Lu, Xiangliang Zhang:
Multi-label zero-shot learning with graph convolutional networks. Neural Networks 132: 333-341 (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) - [c48]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clusterings Using Deep Matrix Factorization. AAAI 2020: 6348-6355 - [c47]Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo:
Epistasis Detection using Heterogeneous Bio-molecular Network. BIBM 2020: 194-199 - [c46]Qianwen Meng, Lizhen Cui, Guoxian Yu, Han Yu, Wei Guo, Hui Li:
CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment. BIBM 2020: 469-472 - [c45]Xuanwu Liu, Zhao Li, Yuanhui Mao, Lixiang Lai, Ben Gao, Yao Deng, Guoxian Yu:
Dynamical User Intention Prediction via Multi-modal Learning. DASFAA (1) 2020: 519-535 - [c44]Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo:
Partial Multi-label Learning with Label and Feature Collaboration. DASFAA (1) 2020: 621-637 - [c43]Yuying Xing, Zhao Li, Pengrui Hui, Jiaming Huang, Xia Chen, Long Zhang, Guoxian Yu:
Link Inference via Heterogeneous Multi-view Graph Neural Networks. DASFAA (1) 2020: 698-706 - [c42]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Deep Incomplete Multi-View Multiple Clusterings. ICDM 2020: 651-660 - [c41]Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Partial Multi-label Learning using Label Compression. ICDM 2020: 761-770 - [c40]Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-typed Objects Multi-view Multi-instance Multi-label Learning. ICDM 2020: 1370-1375 - [c39]Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi:
Crowdsourcing with Multiple-Source Knowledge Transfer. IJCAI 2020: 2908-2914 - [c38]Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Weakly-Supervised Multi-view Multi-instance Multi-label Learning. IJCAI 2020: 3124-3130 - [c37]Qiuyue Huang, Jun Wang, Xiangliang Zhang, Guoxian Yu:
Isoform-Disease Association Prediction by Data Fusion. ISBRA 2020: 44-55 - [c36]Huiling Zhang, Guoxian Yu, Wei Ren, Maozu Guo, Jun Wang:
EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings. ISBRA 2020: 56-67 - [c35]Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang:
REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs. KDD 2020: 2175-2184 - [c34]Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Attention-Aware Answers of the Crowd. SDM 2020: 451-459 - [i14]Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo:
Partial Multi-label Learning with Label and Feature Collaboration. CoRR abs/2003.07578 (2020) - [i13]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Deep Incomplete Multi-View Multiple Clusterings. CoRR abs/2010.02024 (2020) - [i12]Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-typed Objects Multi-view Multi-instance Multi-label Learning. CoRR abs/2010.02539 (2020)
2010 – 2019
- 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) - [j36]Xia Chen, Guoxian Yu, Qiaoyu Tan, Jun Wang:
Weighted samples based semi-supervised classification. Appl. Soft Comput. 79: 46-58 (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) - [j34]Long Zhang, Guoxian Yu, Dawen Xia, Jun Wang:
Protein-protein interactions prediction based on ensemble deep neural networks. Neurocomputing 324: 10-19 (2019) - [j33]Zhao Li, Xia Chen, Xuming Pan, Pengcheng Zou, Yuchen Li, Guoxian Yu:
SHOAL: Large-scale Hierarchical Taxonomy via Graph-based Query Coalition in E-commerce. Proc. VLDB Endow. 12(12): 1858-1861 (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]