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Towards Out-Of-Distribution Generalization: A Survey


Aug 31, 2021
Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui


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Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization


Jul 13, 2021
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu


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Context-Aware Attention-Based Data Augmentation for POI Recommendation


Jun 30, 2021
Yang Li, Yadan Luo, Zheng Zhang, Shazia W. Sadiq, Peng Cui

* 35th IEEE International Conference on Data Engineering Workshops, ICDE Workshops 2019, Macao, China, April 8-12, 2019 

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Distributionally Robust Learning with Stable Adversarial Training


Jun 30, 2021
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li

* arXiv admin note: substantial text overlap with arXiv:2006.04414 

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Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge


May 26, 2021
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang

* Journal extension of GF-Attack. arXiv admin note: text overlap with arXiv:1908.01297 

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Heterogeneous Risk Minimization


May 09, 2021
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

* Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021. (ICML2021) 

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Deep Stable Learning for Out-Of-Distribution Generalization


Apr 16, 2021
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen


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Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation


Apr 11, 2021
Kai Wang, Zhene Zou, Qilin Deng, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui

* 9 pages, 4 figures, to be published in Proceedings of the AAAI Conference on Artificial Intelligence 2021 

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Accurate and Reliable Forecasting using Stochastic Differential Equations


Mar 28, 2021
Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu


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Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network


Feb 07, 2021
Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin

* 11 pages, under review 

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Interpreting and Unifying Graph Neural Networks with An Optimization Framework


Jan 28, 2021
Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui

* WWW2021, 12 pages 

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On the Equivalence of Decoupled Graph Convolution Network and Label Propagation


Oct 23, 2020
Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui


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Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching


Oct 15, 2020
Peng Cui, Le Hu, Yuanchao Liu


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Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks


Oct 13, 2020
Peng Cui, Le Hu, Yuanchao Liu

* Accepted by COLING(2020) 

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A Simple and General Graph Neural Network with Stochastic Message Passing


Sep 05, 2020
Ziwei Zhang, Chenhao Niu, Peng Cui, Bo Zhang, Wei Cui, Wenwu Zhu

* 17 pages 

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Adversarial Eigen Attack on Black-Box Models


Aug 27, 2020
Linjun Zhou, Peng Cui, Yinan Jiang, Shiqiang Yang


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Algorithmic Decision Making with Conditional Fairness


Jul 14, 2020
Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui

* 11 pages, to appear in KDD 2020 proceedings 

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AM-GCN: Adaptive Multi-channel Graph Convolutional Networks


Jul 11, 2020
Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei

* 11 pages, KDD2020 

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Calibrated Reliable Regression using Maximum Mean Discrepancy


Jun 18, 2020
Peng Cui, Wenbo Hu, Jun Zhu


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Stable Prediction via Leveraging Seed Variable


Jun 09, 2020
Kun Kuang, Bo Li, Peng Cui, Yue Liu, Jianrong Tao, Yueting Zhuang, Fei Wu


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Invariant Adversarial Learning for Distributional Robustness


Jun 08, 2020
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

* 11 pages 

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Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs


Jun 08, 2020
Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu

* 11 pages plus 8 pages for appendices, 4 figures 

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Learning to Select Base Classes for Few-shot Classification


Apr 01, 2020
Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian


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A Semi-supervised Graph Attentive Network for Financial Fraud Detection


Feb 28, 2020
Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi

* icdm 

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Structural Deep Clustering Network


Feb 12, 2020
Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui

* Published at The Web Conference (WWW) 2020, full paper 

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