Guoxian Yu

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King Abdullah University of Science and Technology ∙ Shandong University ∙ Southwest University

Multi-typed Objects Multi-view Multi-instance Multi-label Learning

Multi-typed objects Multi-view Multi-instance Multi-label Learning (M4L)...
10/06/2020 ∙ by Yuanlin Yang, et al. ∙ 0 ∙ share

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Deep Incomplete Multi-View Multiple Clusterings

Multi-view clustering aims at exploiting information from multiple heter...
10/02/2020 ∙ by Shaowei Wei, et al. ∙ 3 ∙ share

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Partial Multi-label Learning with Label and Feature Collaboration

Partial multi-label learning (PML) models the scenario where each traini...
03/17/2020 ∙ by Tingting Yu, et al. ∙ 7 ∙ share

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Attention-Aware Answers of the Crowd

Crowdsourcing is a relatively economic and efficient solution to collect...
12/24/2019 ∙ by Jingzheng Tu, et al. ∙ 1 ∙ share

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Multi-View Multiple Clusterings using Deep Matrix Factorization

Multi-view clustering aims at integrating complementary information from...
11/26/2019 ∙ by Shaowei Wei, et al. ∙ 10 ∙ share

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Prototypical Networks for Multi-Label Learning

We propose to address multi-label learning by jointly estimating the dis...
11/17/2019 ∙ by Zhuo Yang, et al. ∙ 1 ∙ share

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Active Multi-Label Crowd Consensus

Crowdsourcing is an economic and efficient strategy aimed at collecting ...
11/07/2019 ∙ by Jinzheng Tu, et al. ∙ 0 ∙ share

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Cross-modal Zero-shot Hashing

Hashing has been widely studied for big data retrieval due to its low st...
08/19/2019 ∙ by Xuanwu Liu, et al. ∙ 1 ∙ share

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Weakly-paired Cross-Modal Hashing

Hashing has been widely adopted for large-scale data retrieval in many d...
05/29/2019 ∙ by Xuanwu Liu, et al. ∙ 4 ∙ share

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ActiveHNE: Active Heterogeneous Network Embedding

Heterogeneous network embedding (HNE) is a challenging task due to the d...
05/14/2019 ∙ by Xia Chen, et al. ∙ 6 ∙ share

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Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization

Multi-view Multi-instance Multi-label Learning(M3L) deals with complex o...
05/13/2019 ∙ by Yuying Xing, et al. ∙ 12 ∙ share

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Multi-View Multiple Clustering

Multiple clustering aims at exploring alternative clusterings to organiz...
05/13/2019 ∙ by Shixing Yao, et al. ∙ 4 ∙ share

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Ranking-based Deep Cross-modal Hashing

Cross-modal hashing has been receiving increasing interests for its low ...
05/11/2019 ∙ by Xuanwu Liu, et al. ∙ 1 ∙ share

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Multiple Independent Subspace Clusterings

Multiple clustering aims at discovering diverse ways of organizing data ...
05/10/2019 ∙ by Xing Wang, et al. ∙ 4 ∙ share

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Guoxian Yu

Featured Co-authors

Jun Wang

Xiangliang Zhang

Xing Wang

Carlotta Domeniconi

Zhao Li

Yazhou Ren

Yufei Han

Xia Chen

Maozu Guo

Tingting Yu

Zhuo Yang

Multi-typed Objects Multi-view Multi-instance Multi-label Learning

Deep Incomplete Multi-View Multiple Clusterings

Partial Multi-label Learning with Label and Feature Collaboration

Attention-Aware Answers of the Crowd

Multi-View Multiple Clusterings using Deep Matrix Factorization

Prototypical Networks for Multi-Label Learning

Active Multi-Label Crowd Consensus

Cross-modal Zero-shot Hashing

Weakly-paired Cross-Modal Hashing

ActiveHNE: Active Heterogeneous Network Embedding

Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization

Multi-View Multiple Clustering

Ranking-based Deep Cross-modal Hashing

Multiple Independent Subspace Clusterings