Xingquan Zhu

Dept. of Electrical Engineering and Computer Science , Florida Atlantic University , USA

15 papers in the IJCAI proceedings

IJCAI 2025

HGEN: Heterogeneous Graph Ensemble Networks

with Jiajun Shen, Yufei Jin, Kaibu Feng, Yi He

doi:10.24963/ijcai.2025/685

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Towards Fairness with Limited Demographics via Disentangled Learning

with Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart Knijnenburg, Wenbin Zhang

doi:10.24963/ijcai.2025/64

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IJCAI 2021

GAEN: Graph Attention Evolving Networks

with Min Shi, Yu Huang, Yufei Tang, Yuan Zhuang, Jianxun Liu

doi:10.24963/ijcai.2021/213

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IJCAI 2020

Multi-Class Imbalanced Graph Convolutional Network Learning

with Min Shi, Yufei Tang, David Wilson, Jianxun Liu

doi:10.24963/ijcai.2020/398

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IJCAI 2019

Discriminative Sample Generation for Deep Imbalanced Learning

with Ting Guo, Yang Wang, Fang Chen

doi:10.24963/ijcai.2019/334

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IJCAI 2017

User Profile Preserving Social Network Embedding

with Daokun Zhang, Jie Yin, Chengqi Zhang

doi:10.24963/ijcai.2017/472

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IJCAI 2016

Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness

with Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu

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Tri-Party Deep Network Representation

with Shirui Pan, Jia Wu, Chengqi Zhang, Yang Wang

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IJCAI 2015

Multi-Graph-View Learning for Complicated Object Classification

with Jia Wu, Shirui Pan, Zhihua Cai, Chengqi Zhang

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IJCAI 2013

Graph Classification with Imbalanced Class Distributions and Noise

with Shirui Pan

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IJCAI 2011

Cross-Domain Collaborative Filtering over Time

with Bin Li, Ruijiang Li, Chengqi Zhang, Xiangyang Xue, Xindong Wu

doi:10.5591/978-1-57735-516-8/IJCAI11-382

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IJCAI 2009

Multiple Information Sources Cooperative Learning

with Ruoming Jin

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IJCAI 2007

An Empirical Study of the Noise Impact on Cost-Sensitive Learning

with Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi

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Mining Complex Patterns across Sequences with Gap Requirements

with Xindong Wu

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IJCAI 2003

Mining Video Associations for Efficient Database Management

with Xindong Wu

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