Yiping Ke

Sophi Shilpa Gururajapathy

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Contrastive Graph Pooling for Explainable Classification of Brain Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Data-Driven Network Neuroscience: On Data Collection and Benchmark.

[BibT_eX]

[DOI]

Jiaxing Xu

Yunhan Yang

David Tse Jung Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Subdomain Adaptation With Manifolds Discrepancy Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Data-Driven Network Neuroscience: On Data Collection and Benchmark.

[BibT_eX]

[DOI]

David Tse Jung Huang

Sophi Shilpa Gururajapathy

CoRR, 2022

A Class-Aware Representation Refinement Framework for Graph Classification.

[BibT_eX]

[DOI]

Jiaxing Xu

Jinjie Ni

Sophi Shilpa Gururajapathy

CoRR, 2022

2021

Practical Multisource Transfer Regression With Source-Target Similarity Captures.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

A unified linear convergence analysis of k-SVD.

[BibT_eX]

[DOI]

Memetic Comput., 2020

Succinct Adaptive Manifold Transfer.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Adaptive Knowledge Transfer based on Transfer Neural Kernel Network.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks.

[BibT_eX]

[DOI]

Tianbo Li

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

2019

Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Chi Keong Goh

IEEE Trans. Neural Networks Learn. Syst., 2019

A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation.

[BibT_eX]

[DOI]

Chi Keong Goh

IEEE Trans. Knowl. Data Eng., 2019

Thinning for Accelerating the Learning of Point Processes.

[BibT_eX]

[DOI]

Tianbo Li

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Knowledge Transfer based on Multiple Manifolds Assumption.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Uncluttered Domain Sub-Similarity Modeling for Transfer Regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Transfer Hawkes Processes with Content Information.

[BibT_eX]

[DOI]

Tianbo Li

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

A Fast Algorithm for Matrix Eigen-decompositionn.

[BibT_eX]

[DOI]

Xin Gao

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Domain Specific Feature Transfer for Hybrid Domain Adaptation.

[BibT_eX]

[DOI]

Chi-Keong Goh

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

2016

Efficient Algorithms for Temporal Path Computation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Stochastic Variance Reduced Riemannian Eigensolver.

[BibT_eX]

[DOI]

CoRR, 2016

Efficient Processing of Reachability and Time-Based Path Queries in a Temporal Graph.

[BibT_eX]

[DOI]

CoRR, 2016

Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Chi Keong Goh

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Reachability and time-based path queries in temporal graphs.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Effective and Efficient Spectral Clustering on Text and Link Data.

[BibT_eX]

[DOI]

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

2015

Core decomposition in large temporal graphs.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

GBAGC: A General Bayesian Framework for Attributed Graph Clustering.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2014

Path Problems in Temporal Graphs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2014

A Fast Inference Algorithm for Stochastic Blockmodel.

[BibT_eX]

[DOI]

Yi Wang

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

High efficiency and quality: large graphs matching.

[BibT_eX]

[DOI]

VLDB J., 2013

2012

Detecting Priming News Events

[BibT_eX]

[DOI]

CoRR, 2012

A model-based approach to attributed graph clustering.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Efficient processing of distance queries in large graphs: a vertex cover approach.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Fast algorithms for maximal clique enumeration with limited memory.

[BibT_eX]

[DOI]

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

2011

Leadership discovery when data correlatively evolve.

[BibT_eX]

[DOI]

World Wide Web, 2011

Fast graph query processing with a low-cost index.

[BibT_eX]

[DOI]

VLDB J., 2011

Finding maximal cliques in massive networks.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2011

Efficient core decomposition in massive networks.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Data Engineering, 2011

2010

Finding maximal cliques in massive networks by H*-graph.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Detecting Leaders from Correlated Time Series.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2010

Querying Large Graph Databases.

[BibT_eX]

[DOI]

Jeffrey Xu Yu

Proceedings of the Database Systems for Advanced Applications, 2010

Stock risk mining by news.

[BibT_eX]

[DOI]

Proceedings of the Database Technologies 2010, 2010

2009

Efficient query processing on graph databases.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2009

Top-k Correlative Graph Mining.

[BibT_eX]

[DOI]

Jeffrey Xu Yu

Proceedings of the SIAM International Conference on Data Mining, 2009

Efficient Discovery of Frequent Correlated Subgraph Pairs.

[BibT_eX]

[DOI]

Jeffrey Xu Yu

Proceedings of the ICDM 2009, 2009

Context-Aware Object Connection Discovery in Large Graphs.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Data Engineering, 2009

Efficient processing of group-oriented connection queries in a large graph.

[BibT_eX]

[DOI]

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

2008

Correlated pattern mining in quantitative databases.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2008

Efficient Correlation Search from Graph Databases.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2008

An information-theoretic approach to quantitative association rule mining.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2008

A survey on algorithms for mining frequent itemsets over data streams.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2008

Maintaining frequent closed itemsets over a sliding window.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2008

Effective elimination of redundant association rules.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2008

Spotting Significant Changing Subgraphs in Evolving Graphs.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Fg-index: towards verification-free query processing on graph databases.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Correlation search in graph databases.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Mining Vague Association Rules.

[BibT_eX]

[DOI]

Proceedings of the Advances in Databases: Concepts, 2007

2006

Web dynamics and their ramifications for the development of Web search engines.

[BibT_eX]

[DOI]

Comput. Networks, 2006

Maintaining Frequent Itemsets over High-Speed Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Mining quantitative correlated patterns using an information-theoretic approach.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

delta-Tolerance Closed Frequent Itemsets.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Data Engineering, 2006

2004

WUML: A Web Usage Manipulation Language for Querying Web Log Data.

[BibT_eX]

[DOI]

Qingzhao Tan