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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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Stable Prediction with Model Misspecification and Agnostic Distribution Shift


Jan 31, 2020
Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li


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Deep Learning for Learning Graph Representations


Jan 02, 2020
Wenwu Zhu, Xin Wang, Peng Cui

* 51 pages, 8 figures 

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Rule-Guided Compositional Representation Learning on Knowledge Graphs


Dec 28, 2019
Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang

* The full version of a paper accepted to AAAI 2020 

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Stable Learning via Sample Reweighting


Nov 28, 2019
Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang

* Accepted as poster paper at AAAI2020 

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