Guoxian Yu

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 153

Top Venues

Publications

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) (2024)
Jiaxuan Liang, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo
Gradient-Based Local Causal Structure Learning. IEEE Trans. Cybern. 54 (1) (2024)
Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui
Personalized Federated Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu
Multi-Dimensional Fair Federated Learning. AAAI (2024)
Guoxian Yu, Liangrui Ren, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Multiple clusterings: Recent advances and perspectives. Comput. Sci. Rev. 52 (2024)
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)
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) (2024)
Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang
Multi-Granularity Causal Structure Learning. AAAI (2024)
Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang
Federated Causality Learning with Explainable Adaptive Optimization. AAAI (2024)
Xiangping Kang, Guoxian Yu, Qingzhong Li, Jun Wang, Hui Li, Carlotta Domeniconi
Semi-Asynchronous Online Federated Crowdsourcing. ICDE (2024)
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)
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 (2023)
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)
Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang
Federated Causality Learning with Explainable Adaptive Optimization. CoRR (2023)
Jun Wang, Xi Chen, Zhengtian Wu, Maozu Guo, Guoxian Yu
Cooperative driver pathways discovery by multiplex network embedding. Briefings Bioinform. 24 (3) (2023)
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)
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) (2023)
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) (2023)
Dezhi Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Maozu Guo
Causal Discovery by Graph Attention Reinforcement Learning. SDM (2023)
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 (2023)
Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang
Long-Tail Cross Modal Hashing. AAAI (2023)
Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo
Reinforcement Causal Structure Learning on Order Graph. AAAI (2023)
Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu
Multi-dimensional Fair Federated Learning. CoRR (2023)
Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang
Incentive-Boosted Federated Crowdsourcing. AAAI (2023)
Jiaxuan Liang, Jun Wang, Guoxian Yu, Wei Guo, Carlotta Domeniconi, Maozu Guo
Directed Acyclic Graph Learning on Attributed Heterogeneous Network. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Sichao Qiu, Mengyi Wang, Yuanlin Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Carlotta Domeniconi, Maozu Guo
Meta Multi-Instance Multi-Label learning by heterogeneous network fusion. Inf. Fusion 94 (2023)
Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang
Multi-granularity Causal Structure Learning. CoRR (2023)
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) (2023)
Xingze Wang, Guoxian Yu, Jun Wang, Azlan Mohd Zain, Wei Guo
Lung cancer subtype diagnosis using weakly-paired multi-omics data. Bioinform. 38 (22) (2022)
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) (2022)
Haojiang Tan, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo
Phenotype Prediction by Heterogeneous Molecular Network Embedding. BIBM (2022)
Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo
Reinforcement Causal Structure Learning on Order Graph. CoRR (2022)
Jun Wang, Huiling Zhang, Wei Ren, Maozu Guo, Guoxian Yu
EpiMC: Detecting Epistatic Interactions Using Multiple Clusterings. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Flexible Cross-Modal Hashing. IEEE Trans. Neural Networks Learn. Syst. 33 (1) (2022)
Guoxian Yu, Qiuyue Huang, Xiangliang Zhang, Maozu Guo, Jun Wang
Tissue Specificity Based Isoform Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Guoxian Yu, Yuying Xing, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Multiview Multi-Instance Multilabel Active Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Guoxian Yu, Yeqian Yang, Yangyang Yan, Maozu Guo, Xiangliang Zhang, Jun Wang
DeepIDA: Predicting Isoform-Disease Associations by Data Fusion and Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
Weakly Supervised Cross-Modal Hashing. IEEE Trans. Big Data 8 (2) (2022)
Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang
Long-tail Cross Modal Hashing. CoRR (2022)
Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang
Graph Alignment with Noisy Supervision. WWW (2022)
Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang
Incentive-boosted Federated Crowdsourcing. CoRR (2022)
Sichao Qiu, Guoxian Yu, Xudong Lu, Carlotta Domeniconi, Maozu Guo
Isoform function prediction by Gene Ontology embedding. Bioinform. 38 (19) (2022)
Xin Wang, Xia Cao, Yuantao Feng, Maozu Guo, Guoxian Yu, Jun Wang
ELSSI: parallel SNP-SNP interactions detection by ensemble multi-type detectors. Briefings Bioinform. 23 (4) (2022)
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) (2022)
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) (2022)
Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi
Few-shot Partial Multi-label Learning with Data Augmentation. ICDM (2022)
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 (2021)
Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Individuality- and Commonality-Based Multiview Multilabel Learning. IEEE Trans. Cybern. 51 (3) (2021)
Guoxian Yu, Jie Zeng, Jun Wang, Hong Zhang, Xiangliang Zhang, Maozu Guo
Imbalance deep multi-instance learning for predicting isoform-isoform interactions. Int. J. Intell. Syst. 36 (6) (2021)
Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks. ACM Trans. Knowl. Discov. Data 15 (1) (2021)
Runmin Wang, Guoxian Yu, Hong Zhang, Maozu Guo, Lizhen Cui, Xiangliang Zhang
Noise-robust Deep Cross-Modal Hashing. Inf. Sci. 581 (2021)
Runmin Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
Meta Cross-Modal Hashing on Long-Tailed Data. CoRR (2021)
Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui
Few-Shot Partial Multi-Label Learning. ICDM (2021)
Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Multiple clusterings of heterogeneous information networks. Mach. Learn. 110 (6) (2021)
Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lili Pan, Dezhong Yao, Guoxian Yu
Dual self-paced multi-view clustering. Neural Networks 140 (2021)
Guangyang Han, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
Open-Set Crowdsourcing using Multiple-Source Transfer Learning. CoRR (2021)
Guangyang Han, Guoxian Yu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
Crowdsourcing with Meta-Workers: A New Way to Save the Budget. CoRR (2021)
Guoxian Yu, Guangjie Zhou, Xiangliang Zhang, Carlotta Domeniconi, Maozu Guo
DMIL-IsoFun: predicting isoform function using deep multi-instance learning. Bioinform. 37 (24) (2021)
Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
Cross-modal Zero-shot Hashing by Label Attributes Embedding. CoRR (2021)
Haojiang Tan, Sichao Qiu, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo
Genome-Phenome Association Prediction by Deep Factorizing Heterogeneous Molecular Network. BIBM (2021)
Xiaoqiang Gui, Xudong Lu, Guoxian Yu
Cost-effective Batch-mode Multi-label Active Learning. Neurocomputing 463 (2021)
Yuanlin Yang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning. SDM (2021)
Jun Wang, Xing Wang, Guoxian Yu, Carlotta Domeniconi, Zhiwen Yu, Zili Zhang
Discovering Multiple Co-Clusterings With Matrix Factorization. IEEE Trans. Cybern. 51 (7) (2021)
Xin Wang, Jun Wang, Guoxian Yu, Beibei Xin, Maozu Guo
Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction. BIBM (2021)
Ziying Yang, Guoxian Yu, Maozu Guo, Jiantao Yu, Xiangliang Zhang, Jun Wang
CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi
Few-Shot Partial-Label Learning. CoRR (2021)
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) (2021)
Yingwen Zhao, Jun Wang, Maozu Guo, Xiangliang Zhang, Guoxian Yu
Cross-Species Protein Function Prediction with Asynchronous-Random Walk. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Xianxue Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi
Co-Clustering Ensembles Based on Multiple Relevance Measures. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Qiuyue Huang, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu
IsoDA: Isoform-Disease Association Prediction by Multiomics Data Fusion. J. Comput. Biol. 28 (8) (2021)
Chuanwei Qu, Kuangmeng Wang, Hong Zhang, Guoxian Yu, Carlotta Domeniconi
Incomplete Multi-view Multi-label Active Learning. ICDM (2021)
Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi
Few-Shot Partial-Label Learning. IJCAI (2021)
Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui
Crowdsourcing with Self-paced Workers. ICDM (2021)
Cong Su, Zhongmin Yan, Guoxian Yu
Cost-effective multi-instance multilabel active learning. Int. J. Intell. Syst. 36 (12) (2021)
Yuanlin Yang, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Maozu Guo
MetaMIML: Meta Multi-Instance Multi-Label Learning. CoRR (2021)
Guoxian Yu, Jinzheng Tu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Active Multilabel Crowd Consensus. IEEE Trans. Neural Networks Learn. Syst. 32 (4) (2021)
Guangjin Ou, Guoxian Yu, Carlotta Domeniconi, Xuequan Lu, Xiangliang Zhang
Multi-label zero-shot learning with graph convolutional networks. Neural Networks 132 (2020)
Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
Multi-label crowd consensus via joint matrix factorization. Knowl. Inf. Syst. 62 (4) (2020)
Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Partial Multi-label Learning using Label Compression. ICDM (2020)
Lin Jiang, Guoxian Yu, Maozu Guo, Jun Wang
Feature selection with missing labels based on label compression and local feature correlation. Neurocomputing 395 (2020)
Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang
REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs. KDD (2020)
Guoxian Yu, Keyao Wang, Guangyuan Fu, Maozu Guo, Jun Wang
NMFGO: Gene Function Prediction via Nonnegative Matrix Factorization with Gene Ontology. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (1) (2020)
Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Multi-typed Objects Multi-view Multi-instance Multi-label Learning. CoRR (2020)
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
Multi-View Multiple Clusterings Using Deep Matrix Factorization. AAAI (2020)
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
Deep Incomplete Multi-View Multiple Clusterings. CoRR (2020)
Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo
Epistasis Detection using Heterogeneous Bio-molecular Network. BIBM (2020)
Huiling Zhang, Guoxian Yu, Wei Ren, Maozu Guo, Jun Wang
EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings. ISBRA (2020)
Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo
Partial Multi-label Learning with Label and Feature Collaboration. CoRR (2020)
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)
Guangjie Zhou, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu
Predicting functions of maize proteins using graph convolutional network. BMC Bioinform. (16) (2020)
Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi
Crowdsourcing with Multiple-Source Knowledge Transfer. IJCAI (2020)
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)
Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Multi-typed Objects Multi-view Multi-instance Multi-label Learning. ICDM (2020)
Guoxian Yu, Yuehui Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
Attributed heterogeneous network fusion via collaborative matrix tri-factorization. Inf. Fusion 63 (2020)
Keyao Wang, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu
Differentiating isoform functions with collaborative matrix factorization. Bioinform. 36 (6) (2020)
Qiuyue Huang, Jun Wang, Xiangliang Zhang, Guoxian Yu
Isoform-Disease Association Prediction by Data Fusion. ISBRA (2020)
Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Weakly-Supervised Multi-view Multi-instance Multi-label Learning. IJCAI (2020)
Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Attention-Aware Answers of the Crowd. SDM (2020)
Guoxian Yu, Keyao Wang, Carlotta Domeniconi, Maozu Guo, Jun Wang
Isoform function prediction based on bi-random walks on a heterogeneous network. Bioinform. 36 (1) (2020)
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
Deep Incomplete Multi-View Multiple Clusterings. ICDM (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Guoxian Yu