Xiangnan Kong

According to our database1, Xiangnan Kong authored at least 112 papers between 2010 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Semi-supervised Co-Clustering on Attributed Heterogeneous Information Networks.
Inf. Process. Manag., 2020

MLAS: Metric Learning on Attributed Sequences.
CoRR, 2020

Deep Parametric Model for Discovering Group-cohesive Functional Brain Regions.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging Data.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Recurrent Halting Chain for Early Multi-label Classification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Recurrent Networks for Guided Multi-Attention Classification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, 2020

Code2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation.
Proceedings of the Database Systems for Advanced Applications, 2020

Learning to Selectively Update State Neurons in Recurrent Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

EPNet: Learning to Exit with Flexible Multi-Branch Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Multi-task Attributed Graphical Lasso.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Locally Weighted Fusion of Structural and Attribute Information in Graph Clustering.
IEEE Trans. Cybern., 2019

Learning compact graph representations via an encoder-decoder network.
Appl. Netw. Sci., 2019

Signed Distance-based Deep Memory Recommender.
Proceedings of the World Wide Web Conference, 2019

NetMerger: Predicting Cross-network Links in Merged Heterogeneous Networks.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

AMAS: Attention Model for Attributed Sequence Classification.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Adaptive-Halting Policy Network for Early Classification.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Net2Text: An Edge Labelling Language Model for Personalized Review Generation.
Proceedings of the Database Systems for Advanced Applications, 2019

Author Set Identification via Quasi-Clique Discovery.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Graph Convolutional Networks with Motif-based Attention.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Attributed Sequence Embedding.
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019

Learning Temporal Relevance in Longitudinal Medical Notes.
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019

Patient-level Classification on Clinical Note Sequences Guided by Attributed Hierarchical Attention.
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019

Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Competitive opinion maximization in social networks.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Graph Classification in Heterogeneous Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

NetCycle+: A Framework for Collective Evolution Inference in Dynamic Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., 2018

Higher-order Graph Convolutional Networks.
CoRR, 2018

Learning Role-based Graph Embeddings.
CoRR, 2018

Deep Collective Classification in Heterogeneous Information Networks.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Active Opinion Maximization in Social Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Graph Classification using Structural Attention.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Coherent Graphical Lasso for Brain Network Discovery.
Proceedings of the IEEE International Conference on Data Mining, 2018

TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Data Mining, 2018

Sharing Uncertain Graphs Using Syntactic Private Graph Models.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Functional-Oriented Relationship Strength Estimation: From Online Events to Offline Interactions.
Proceedings of the Database Systems for Advanced Applications, 2018

Tracking Dynamic Magnet Communities: Insights from a Network Perspective.
Proceedings of the Database Systems for Advanced Applications, 2018

Multi-layered Learning for Information Extraction from Adverse Drug Event Narratives.
Proceedings of the Biomedical Engineering Systems and Technologies, 2018

One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

Early Prediction of MRSA Infections using Electronic Health Records.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

One-Shot Learning on Attributed Sequences.
Proceedings of the IEEE International Conference on Big Data, 2018

Predicting Disease-related Associations by Heterogeneous Network Embedding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Deep Learning Strategies for Automatic Detection of Medication and Adverse Drug Events from Electronic Health Records.
Proceedings of the AMIA 2018, 2018

Clustering Uncertain Graphs with Node Attributes.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017
Discover trends in public emotion using social sensing.
SIGWEB Newsl., 2017

Representation Learning in Large Attributed Graphs.
CoRR, 2017

Deep Graph Attention Model.
CoRR, 2017

A Framework for Generalizing Graph-based Representation Learning Methods.
CoRR, 2017

Using Social Sensing to Discover Trends in Public Emotion.
Proceedings of the 11th IEEE International Conference on Semantic Computing, 2017

Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Unified and Contrasting Graphical Lasso for Brain Network Discovery.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Identifying Deep Contrasting Networks from Time Series Data: Application to Brain Network Analysis.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Collective discovery of brain networks with unknown groups.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Kernel-Based Feature Extraction for Collaborative Filtering.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

BiCycle: Item Recommendation with Life Cycles.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Learning Node Embeddings in Interaction Graphs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Badge System Analysis and Design.
CoRR, 2016

Bermuda: An Efficient MapReduce Triangle Listing Algorithm for Web-Scale Graphs.
Proceedings of the 28th International Conference on Scientific and Statistical Database Management, 2016

Kernelized Matrix Factorization for Collaborative Filtering.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

NetCycle: Collective Evolution Inference in Heterogeneous Information Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Collective Traffic Prediction with Partially Observed Traffic History using Location-Based Social Media.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Social badge system analysis.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
CelebrityNet: A Social Network Constructed from Large-Scale Online Celebrity Images.
ACM Trans. Multim. Comput. Commun. Appl., 2015

Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching.
CoRR, 2015

A review of heterogeneous data mining for brain disorders.
CoRR, 2015

Identifying HIV-induced subgraph patterns in brain networks with side information.
Brain Informatics, 2015

A review of heterogeneous data mining for brain disorder identification.
Brain Informatics, 2015

PNA: Partial Network Alignment with Generic Stable Matching.
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Mining Brain Networks Using Multiple Side Views for Neurological Disorder Identification.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

2014
HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., 2014

Multi-Label Classification Based on Multi-Objective Optimization.
ACM Trans. Intell. Syst. Technol., 2014

Privacy Preserving Social Network Publication Against Mutual Friend Attacks.
Trans. Data Priv., 2014

Transferring heterogeneous links across location-based social networks.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Inferring the impacts of social media on crowdfunding.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Large-Scale Multi-Label Learning with Incomplete Label Assignments.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Visual Recognition by Exploiting Latent Social Links in Image Collections.
Proceedings of the MultiMedia Modeling - 20th Anniversary International Conference, 2014

Discovering Organizational Correlations from Twitter.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Active Learning: A Survey.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
Transductive Multilabel Learning via Label Set Propagation.
IEEE Trans. Knowl. Data Eng., 2013

Brain network analysis: a data mining perspective.
SIGKDD Explor., 2013

Meta Path-Based Collective Classification in Heterogeneous Information Networks
CoRR, 2013

Discriminative Feature Selection for Uncertain Graph Classification.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Multi-label classification by mining label and instance correlations from heterogeneous information networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Predicting Social Links for New Users across Aligned Heterogeneous Social Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Multilabel Consensus Classification.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Predicting trends in social networks via dynamic activeness model.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Inferring anchor links across multiple heterogeneous social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
gMLC: a multi-label feature selection framework for graph classification.
Knowl. Inf. Syst., 2012

Community detection in incomplete information networks.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Multi-Objective Multi-Label Classification.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Transfer Significant Subgraphs across Graph Databases.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

HeteRecom: a semantic-based recommendation systemin heterogeneous networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Relevance search in heterogeneous networks.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

Meta path-based collective classification in heterogeneous information networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Monitoring knowledge flow through scholarly networks.
Proceedings of the Information, Interaction, Innovation: Celebrating the Past, Constructing the Present and Creating the Future, 2012

2011
Multi-Label Collective Classification.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Multi-label Ensemble Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Dual active feature and sample selection for graph classification.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Positive and Unlabeled Learning for Graph Classification.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

An ensemble-based approach to fast classification of multi-label data streams.
Proceedings of the 7th International Conference on Collaborative Computing: Networking, 2011

2010
Semi-supervised feature selection for graph classification.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Multi-label Feature Selection for Graph Classification.
Proceedings of the ICDM 2010, 2010


  Loading...