Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation.

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[DOI]

Zeyu Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling.

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Multi-Task Recurrent Modular Networks.

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Sensation-seeking is related to functional connectivities of the medial orbitofrontal cortex with the anterior cingulate cortex.

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[DOI]

NeuroImage, 2020

Correction to: Memory-based random walk for multi-query local community detection.

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[DOI]

Knowl. Inf. Syst., 2020

Memory-based random walk for multi-query local community detection.

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[DOI]

Knowl. Inf. Syst., 2020

Utilizing Amari-Alpha Divergence to Stabilize the Training of Generative Adversarial Networks.

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[DOI]

Entropy, 2020

Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱.

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[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Temporal Context-Aware Representation Learning for Question Routing.

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[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Interpretable Click-Through Rate Prediction through Hierarchical Attention.

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[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution.

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[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Parameterized Explainer for Graph Neural Network.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis.

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[DOI]

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

Super-Resolution Coding Defense Against Adversarial Examples.

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[DOI]

Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

Robust Graph Representation Learning via Neural Sparsification.

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[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Inductive and Unsupervised Representation Learning on Graph Structured Objects.

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[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

T<sup>2</sup>-Net: A Semi-supervised Deep Model for Turbulence Forecasting.

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[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval.

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[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series.

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[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation.

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[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing.

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[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach.

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[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

The multi-walker chain and its application in local community detection.

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[DOI]

Knowl. Inf. Syst., 2019

Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results.

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[DOI]

Bioinform., 2019

Deep Co-Clustering.

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[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs.

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Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Self-Attentive Attributed Network Embedding Through Adversarial Learning.

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[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Adaptive Neural Network for Node Classification in Dynamic Networks.

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[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Learning Robust Representations with Graph Denoising Policy Network.

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[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.

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[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

ComClus: A Self-Grouping Framework for Multi-Network Clustering.

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[DOI]

IEEE Trans. Knowl. Data Eng., 2018

Statistical testing and power analysis for brain-wide association study.

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[DOI]

Medical Image Anal., 2018

Co-Regularized Deep Multi-Network Embedding.

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[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Learning Deep Network Representations with Adversarially Regularized Autoencoders.

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[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks.

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[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval.

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[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

De-biasing Covariance-Regularized Discriminant Analysis.

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[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection.

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[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

On Multi-query Local Community Detection.

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Proceedings of the IEEE International Conference on Data Mining, 2018

Collaborative Alert Ranking for Anomaly Detection.

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Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations.

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[DOI]

ACM Trans. Knowl. Discov. Data, 2017

Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis.

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[DOI]

NeuroImage, 2017

FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification.

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[DOI]

CoRR, 2017

Low-rank decomposition meets kernel learning: A generalized Nyström method.

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[DOI]

Artif. Intell., 2017

Link Prediction with Spatial and Temporal Consistency in Dynamic Networks.

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[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction.

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[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

AWDA: An Adaptive Wishart Discriminant Analysis.

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[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems.

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[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Multi-party Sparse Discriminant Learning.

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[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Many Heads are Better than One: Local Community Detection by the Multi-walker Chain.

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[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Identifying and quantifying nonlinear structured relationships in complex manufactural systems.

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[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering.

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[DOI]

ACM Trans. Knowl. Discov. Data, 2016

HICC: an entropy splitting-based framework for hierarchical co-clustering.

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[DOI]

Knowl. Inf. Syst., 2016

Sparse regression models for unraveling group and individual associations in eQTL mapping.

[BibT_eX]

[DOI]

BMC Bioinform., 2016

Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations.

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[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Self-Grouping Multi-network Clustering.

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[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Toward Robust Group-Wise eQTL Mapping via Integrating Multi-Domain Heterogeneous Data.

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[DOI]

Wei Cheng

PhD thesis, 2015

Fast and robust group-wise eQTL mapping using sparse graphical models.

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[DOI]

BMC Bioinform., 2015

Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment.

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[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

Searching Dimension Incomplete Databases.

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[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Graph-regularized dual Lasso for robust eQTL mapping.

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[DOI]

Bioinform., 2014

2013

Spatio-temporal Granger causality: A new framework.

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[DOI]

NeuroImage, 2013

Flexible and robust co-regularized multi-domain graph clustering.

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[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Grid-Based Clustering.

[BibT_eX]

Wei Cheng

Wei Wang

Sandra Batista

Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012

Dual Transfer Learning.

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[DOI]

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Hierarchical co-clustering based on entropy splitting.

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[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model.

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[DOI]

Proceedings of the ACM International Conference on Bioinformatics, 2012

2011

Measuring Opinion Relevance in Latent Topic Space.

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[DOI]

Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

2010

Transfer Learning via Cluster Correspondence Inference.

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[DOI]

Proceedings of the ICDM 2010, 2010

2009

Probabilistic Similarity Query on Dimension Incomplete Data.

[BibT_eX]

[DOI]

Wei Cheng

Xiaoming Jin

Jian-Tao Sun

Proceedings of the ICDM 2009, 2009

Wei Cheng

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