Jun Huan

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Feature reduction based on semantic similarity for graph classification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Attentive Social Recommendation: Towards User And Item Diversities.

[BibT_eX]

[DOI]

CoRR, 2020

Parameter-Free Style Projection for Arbitrary Style Transfer.

[BibT_eX]

[DOI]

CoRR, 2020

Local Community Detection in Multiple Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Generating Person Images with Appearance-aware Pose Stylizer.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

On the Noisy Gradient Descent that Generalizes as SGD.

[BibT_eX]

[DOI]

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

FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary.

[BibT_eX]

[DOI]

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

Rethinking Local Community Detection: Query Nodes Replacement.

[BibT_eX]

[DOI]

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

WOLF: automated machine learning workflow management framework for malware detection and other applications.

[BibT_eX]

[DOI]

Proceedings of the 7th Annual Symposium on Hot Topics in the Science of Security, 2020

Ultrafast Photorealistic Style Transfer via Neural Architecture Search.

[BibT_eX]

[DOI]

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

2019

Measuring Conditional Independence by Independent Residuals for Causal Discovery.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2019

An efficient algorithm for graph edit distance computation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Deep cycle autoencoder for unsupervised domain adaptation with generative adversarial networks.

[BibT_eX]

[DOI]

IET Comput. Vis., 2019

NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Fast Universal Style Transfer for Artistic and Photorealistic Rendering.

[BibT_eX]

[DOI]

CoRR, 2019

AGAN: Towards Automated Design of Generative Adversarial Networks.

[BibT_eX]

[DOI]

Hanchao Wang

CoRR, 2019

The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation.

[BibT_eX]

[DOI]

CoRR, 2019

StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks.

[BibT_eX]

[DOI]

CoRR, 2019

FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary.

[BibT_eX]

[DOI]

Yingzhen Yang

Nebojsa Jojic

CoRR, 2019

An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity.

[BibT_eX]

[DOI]

Yingzhen Yang

Xingjian Li

CoRR, 2019

Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent.

[BibT_eX]

[DOI]

CoRR, 2019

Instance-Based Deep Transfer Learning.

[BibT_eX]

[DOI]

Tianyang Wang

Michelle Zhu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Simple Is Better: A Global Semantic Consistency Based End-to-End Framework for Effective Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Rethink Gaussian Denoising Prior for Real-World Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Delta: Deep Learning Transfer using Feature Map with Attention for Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Towards Making Deep Transfer Learning Never Hurt.

[BibT_eX]

[DOI]

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

SecureGBM: Secure Multi-Party Gradient Boosting.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

SpHMC: Spectral Hamiltonian Monte Carlo.

[BibT_eX]

[DOI]

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

Understanding Actors and Evaluating Personae with Gaussian Embeddings.

[BibT_eX]

[DOI]

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

2018

Frequent Graph Patterns.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Data Dropout: Optimizing Training Data for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Tianyang Wang

Bo Li

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Interactions Modeling in Multi-Task Multi-View Learning with Consistent Task Diversity.

[BibT_eX]

[DOI]

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

2017

Learning Social Circles in Ego-Networks Based on Multi-View Network Structure.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data.

[BibT_eX]

[DOI]

J. Cheminformatics, 2017

Fast Computation of Graph Edit Distance.

[BibT_eX]

[DOI]

CoRR, 2017

Discriminatory Transfer.

[BibT_eX]

[DOI]

CoRR, 2017

Efficient Graph Similarity Search in External Memory.

[BibT_eX]

[DOI]

IEEE Access, 2017

Sparse Compositional Local Metric Learning.

[BibT_eX]

[DOI]

Joseph St. Amand

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Constructivism Learning: A Learning Paradigm for Transparent Predictive Analytics.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Lifelong multi-task multi-view learning using latent spaces.

[BibT_eX]

[DOI]

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

2016

The development of non-coding RNA ontology.

[BibT_eX]

[DOI]

Int. J. Data Min. Bioinform., 2016

MSQ-Index: A Succinct Index for Fast Graph Similarity Search.

[BibT_eX]

[DOI]

CoRR, 2016

RefSelect: a reference sequence selection algorithm for planted (l, d) motif search.

[BibT_eX]

[DOI]

BMC Bioinform., 2016

The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology.

[BibT_eX]

[DOI]

J. Biomed. Semant., 2016

Towards a Theoretical Understanding of Negative Transfer in Collective Matrix Factorization.

[BibT_eX]

[DOI]

Jianxin Wang

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Partial Collective Matrix Factorization and its PAC Bound.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2016

A disagreement-based active matrix completion approach with provable guarantee.

[BibT_eX]

[DOI]

Yujie Deng

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Co-regularized least square regression for multi-view multi-class classification.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A PAC bound for joint matrix completion based on Partially Collective Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Developing Novel Machine Learning Algorithms to Improve Sedentary Assessment for Youth Health Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

CS2A: A Compressed Suffix Array-Based Method for Short Read Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2016 Data Compression Conference, 2016

Discriminative View Learning for Single View Co-Training.

[BibT_eX]

[DOI]

Joseph St. Amand

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

aptMTVL: Nailing Interactions in Multi-Task Multi-View Multi-Label Learning using Adaptive-basis Multilinear Factor Analyzers.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

A distributed and privatized framework for drug-target interaction prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Learning with Positive and Unknown Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Deep-Learning: Investigating feed-forward deep Neural Networks for modeling high throughput chemical bioactivity data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Weighted multiview learning for predicting drug-disease associations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Investigating Multiview and Multitask Learning Frameworks for Predicting Drug-Disease Associations.

[BibT_eX]

[DOI]

Alexios Koutsoukas

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015

An Efficient Exact Algorithm for the Motif Stem Search Problem over Large Alphabets.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View Learning.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Learning Task Grouping using Supervised Task Space Partitioning in Lifelong Multitask Learning.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Reference sequence selection for motif searches.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Structured Sparse Boosting for Graph Classification.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2014

Automatic Social Circle Detection Using Multi-View Clustering.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

An efficient motif finding algorithm for large DNA data sets.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013

A Family of Joint Sparse PCA Algorithms for Anomaly Localization in Network Data Streams.

[BibT_eX]

[DOI]

Ruoyi Jiang

IEEE Trans. Knowl. Data Eng., 2013

Text Categorization of Biomedical Data Sets Using Graph Kernels and a Controlled Vocabulary.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Structured feature selection and task relationship inference for multi-task learning.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2013

Computational prediction of toxicity.

[BibT_eX]

[DOI]

Int. J. Data Min. Bioinform., 2013

Multitask Learning with Feature Selection for Groups of Related Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

KUChemBio: A repository of computational chemical biology data sets.

[BibT_eX]

[DOI]

Aaron Smalter Hall

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

StemFinder: An efficient algorithm for searching motif stems over large alphabets.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Semantics-driven frequent data pattern mining on electronic health records for effective adverse drug event monitoring.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

A new on-line chemical biology data visualization system.

[BibT_eX]

[DOI]

Peng Hao

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

Knowledge Transfer with Low-Quality Data: A Feature Extraction Issue.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2012

Biological knowledge discovery and data mining.

[BibT_eX]

[DOI]

Sci. Program., 2012

Inductive multi-task learning with multiple view data.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Biomedical text categorization with concept graph representations using a controlled vocabulary.

[BibT_eX]

[DOI]

Proceedings of the 11th International Workshop on Data Mining in Bioinformatics, 2012

When Additional Views are Not Free: Active View Completion for Multi-view Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2012

CoNet: feature generation for multi-view semi-supervised learning with partially observed views.

[BibT_eX]

[DOI]

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

Non-stationary bayesian networks based on perfect simulation.

[BibT_eX]

[DOI]

Wenrong Zeng

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

Drug-induced QT prolongation prediction using co-regularized multi-view learning.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

Identification of transposable elements of the giant panda (Ailuropoda melanoleuca) genome.

[BibT_eX]

[DOI]

Avindra Fernando

Justin P. Blumenstiel

Jin Lin

Xue-wen Chen

Bo Luo

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

Multi-target protein-chemical interaction prediction using task-regularized and boosted multi-task learning.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Bioinformatics, 2012

2011

Guest Editorial: Special Focus on Bioinformatics and Systems Biology.

[BibT_eX]

[DOI]

Fang-Xiang Wu

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

An efficient graph-mining method for complicated and noisy data with real-world applications.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2011

Characterizing the Diversity and Biological Relevance of the MLPCN Assay Manifold and Screening Set.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2011

The BioAssay network and its implications to future therapeutic discovery.

[BibT_eX]

[DOI]

BMC Bioinform., 2011

Anomaly localization for network data streams with graph joint sparse PCA.

[BibT_eX]

[DOI]

Ruoyi Jiang

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Content based social behavior prediction: a multi-task learning approach.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Bayesian Classifiers for Chemical Toxicity Prediction.

[BibT_eX]

[DOI]

Brian Potetz

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

Similarity boosting for label noise tolerance in protein-chemical interaction prediction.

[BibT_eX]

[DOI]

Aaron Smalter Hall

Proceedings of the ACM International Conference on Bioinformatics, 2011

G-Hash: Towards Fast Kernel-Based Similarity Search in Large Graph Databases.

[BibT_eX]

[DOI]

Xiaohong Wang

Proceedings of the Graph Data Management: Techniques and Applications., 2011

2010

Functional neighbors: inferring relationships between nonhomologous protein families using family-specific packing motifs.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Technol. Biomed., 2010

GPD: A Graph Pattern Diffusion Kernel for Accurate Graph Classification with Applications in Cheminformatics.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2010

Towards site-based protein functional annotations.

[BibT_eX]

[DOI]

Seak Fei Lei

Int. J. Data Min. Bioinform., 2010

Application of kernel functions for accurate similarity search in large chemical databases.

[BibT_eX]

[DOI]

BMC Bioinform., 2010

Constructing non-stationary Dynamic Bayesian Networks with a flexible lag choosing mechanism.

[BibT_eX]

[DOI]

BMC Bioinform., 2010

Boosting with structure information in the functional space: an application to graph classification.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Novel biological network features discovery for in silico identification of drug targets.

[BibT_eX]

[DOI]

Proceedings of the ACM International Health Informatics Symposium, 2010

Knowledge Discovery in Academic Drug Discovery Programs: Opportunities and Challenges.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

Regularization and feature selection for networked features.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Exploratory analysis of the BioAssay Network with implications to therapeutic discovery.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009

Frequent Graph Patterns.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, 2009

Identification of family-specific residue packing motifs and their use for structure-based protein function prediction: II. Case studies and applications.

[BibT_eX]

[DOI]

J. Comput. Aided Mol. Des., 2009

Identification of family-specific residue packing motifs and their use for structure-based protein function prediction: I. Method development.

[BibT_eX]

[DOI]

J. Comput. Aided Mol. Des., 2009

Graph Wavelet Alignment Kernels for Drug Virtual Screening.

[BibT_eX]

[DOI]

Leonidas N. Carayannopoulos

J. Bioinform. Comput. Biol., 2009

Towards comprehensive structural motif mining for better fold annotation in the "twilight zone" of sequence dissimilarity.

[BibT_eX]

[DOI]

BMC Bioinform., 2009

Aligned Graph Classification with Regularized Logistic Regression.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2009

Feature Selection in the Tensor Product Feature Space.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2009, 2009

GLSVM: Integrating Structured Feature Selection and Large Margin Classification.

[BibT_eX]

[DOI]

Proceedings of the ICDM Workshops 2009, 2009

Anomaly Detection with Sensor Data for Distributed Security.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Computer Communications and Networks, 2009

G-hash: towards fast kernel-based similarity search in large graph databases.

[BibT_eX]

[DOI]

Proceedings of the EDBT 2009, 2009

Large margin transductive transfer learning.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

L2 norm regularized feature kernel regression for graph data.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

The Analysis of Arabidopsis thaliana Circadian Network Based on Non-stationary DBNs Approach with Flexible Time Lag Choosing Mechanism.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008

Biological pathways as features for microarray data classification.

[BibT_eX]

[DOI]

Meeyoung Park

Proceedings of the Proceeding of the 2nd International Workshop on Data and Text Mining in Bioinformatics, 2008

Structure feature selection for graph classification.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Functional Neighbors: Inferring Relationships between Non-Homologous Protein Families Using Family-Specific Packing Motifs.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

GPM: A graph pattern matching kernel with diffusion for chemical compound classification.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

Structure feature selection for chemical compound classification.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

Chemical Compound Classification with Automatically Mined Structure Patterns.

[BibT_eX]

[DOI]

Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 2008

2007

Mining RNA Tertiary Motifs with Structure Graphs.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007

On Demand Phenotype Ranking through Subspace Clustering.

[BibT_eX]

[DOI]

Xiang Zhang

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Graph Database Indexing Using Structured Graph Decomposition.

[BibT_eX]

[DOI]

David W. Williams

Proceedings of the 23rd International Conference on Data Engineering, 2007

2006

Local Structure Comparison of Proteins.

[BibT_eX]

[DOI]

Jan F. Prins

Adv. Comput., 2006

UTS: An Unbalanced Tree Search Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Languages and Compilers for Parallel Computing, 2006

2005

Comparing Graph Representations of Protein Structure for Mining Family-Specific Residue-Based Packing Motifs.

[BibT_eX]

[DOI]

J. Comput. Biol., 2005

2004

Mining protein family specific residue packing patterns from protein structure graphs.

[BibT_eX]

[DOI]

Proceedings of the Eighth Annual International Conference on Computational Molecular Biology, 2004

Accurate Classification of Protein Structural Families Using Coherent Subgraph Analysis.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2004, 2004

SPIN: mining maximal frequent subgraphs from graph databases.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003

Evaluating the Impact of Programming Language Features on the Performance of Parallel Applications on Cluster Architectures.

[BibT_eX]

[DOI]

Proceedings of the Languages and Compilers for Parallel Computing, 2003

Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism.

[BibT_eX]

[DOI]