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Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation


Sep 07, 2021
Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu

* Accepted by ICDM 2021 as a regular paper 

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Stochastic Intervention for Causal Inference via Reinforcement Learning


May 28, 2021
Tri Dung Duong, Qian Li, Guandong Xu

* Under review for Neurocomputiong. arXiv admin note: substantial text overlap with arXiv:2105.12898 

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Stochastic Intervention for Causal Effect Estimation


May 27, 2021
Tri Dung Duong, Qian Li, Guandong Xu

* Accepted in IJCNN 21 

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DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media


May 23, 2021
Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu


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Be Causal: De-biasing Social Network Confounding in Recommendation


May 20, 2021
Qian Li, Xiangmeng Wang, Guandong Xu


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Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems


May 19, 2021
Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu


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Prototype-based Counterfactual Explanation for Causal Classification


May 06, 2021
Tri Dung Duong, Qian Li, Guandong Xu


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TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers


Apr 19, 2021
Yao Wu, Jian Cao, Guandong Xu, Yudong Tan

* The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval 

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Hyperbolic Neural Collaborative Recommender


Apr 15, 2021
Anchen Li, Bo Yang, Hongxu Chen, Guandong Xu

* arXiv admin note: substantial text overlap with arXiv:2102.09389 

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A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics


Mar 23, 2021
Hongru Liang, Haozheng Wang, Qian Li, Jun Wang, Guandong Xu, Jiawei Chen, Jin-Mao Wei, Zhenglu Yang


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FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint


Dec 02, 2020
Yao Wu, Jian Cao, Guandong Xu


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Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection


Sep 14, 2020
Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu


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Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media


Jul 03, 2020
Hamad Zogan, Xianzhi Wang, Shoaib Jameel, Guandong Xu

* 23 Pages 

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Causality Learning: A New Perspective for Interpretable Machine Learning


Jun 27, 2020
Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu, Xianzhi Wang

* 8 Pages 

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Generative Temporal Link Prediction via Self-tokenized Sequence Modeling


Nov 26, 2019
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu


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Improving Automatic Source Code Summarization via Deep Reinforcement Learning


Nov 17, 2018
Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu


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Target-Independent Active Learning via Distribution-Splitting


Sep 28, 2018
Xiaofeng Cao, Ivor W. Tsang, Xiaofeng Xu, Guandong Xu


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A Structured Perspective of Volumes on Active Learning


Jul 24, 2018
Xiaofeng Cao, Ivor W. Tsang, Guandong Xu


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Geometric Active Learning via Enclosing Ball Boundary


May 31, 2018
Xiaofeng Cao, Ivor W. Tsang, Jianliang Xu, Zenglin Shi, Guandong Xu


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An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering


Jan 30, 2018
Hongzhi Zhang, Guandong Xu, Xiao Liang, Tinglei Huang, Kun fu

* Paper submitted to Neurocomputing at 11.12.2017 

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CSAL: Self-adaptive Labeling based Clustering Integrating Supervised Learning on Unlabeled Data


Feb 18, 2015
Fangfang Li, Guandong Xu, Longbing Cao


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Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval


Sep 25, 2014
Liang Wu, Hui Xiong, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Yuanchun Zhou, Jianhui Li

* to appear in IEEE International Conference on Data Mining (ICDM), Shen Zhen, China, December 2014 

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Coupled Item-based Matrix Factorization


Apr 08, 2014
Fangfang Li, Guandong Xu, Longbing Cao

* 7 pages submitted to AAAI2014. arXiv admin note: substantial text overlap with arXiv:1404.7467 

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