James Cheng

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

2020

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Librarians and Administrators on Academic Library Impact Research: Characteristics and Perspectives.

[BibT_eX]

[DOI]

Starr Hoffman

Coll. Res. Libr., 2020

The item selection problem for user cold-start recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

Hierarchical Graph Matching Network for Graph Similarity Computation.

[BibT_eX]

[DOI]

CoRR, 2020

Understanding Graph Neural Networks from Graph Signal Denoising Perspectives.

[BibT_eX]

[DOI]

Barakeel Fanseu Kamhoua

CoRR, 2020

Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs.

[BibT_eX]

[DOI]

CoRR, 2020

Edit Distance Embedding using Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Wasserstein Collaborative Filtering for Item Cold-start Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Amortized Nesterov's Momentum: A Robust Momentum and Its Application to Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

High Performance Distributed OLAP on Property Graphs with Grasper.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Management of Data, 2020

Convolutional Embedding for Edit Distance.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates.

[BibT_eX]

[DOI]

Kaiwen Zhou

Anthony Man-Cho So

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

Tight Convergence Rate of Gradient Descent for Eigenvalue Computation.

[BibT_eX]

[DOI]

Qinghua Ding

Kaiwen Zhou

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

Measuring and Improving the Use of Graph Information in Graph Neural Networks.

[BibT_eX]

[DOI]

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

Improving resource utilization by timely fine-grained scheduling.

[BibT_eX]

[DOI]

Proceedings of the EuroSys '20: Fifteenth EuroSys Conference 2020, 2020

PMD: An Optimal Transportation-Based User Distance for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2020

Understanding and Improving Proximity Graph Based Maximum Inner Product Search.

[BibT_eX]

[DOI]

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

Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.

[BibT_eX]

[DOI]

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

2019

Yugong: Geo-Distributed Data and Job Placement at Scale.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.

[BibT_eX]

[DOI]

CoRR, 2019

Elastic deep learning in multi-tenant GPU cluster.

[BibT_eX]

[DOI]

CoRR, 2019

Pyramid: A General Framework for Distributed Similarity Search.

[BibT_eX]

[DOI]

CoRR, 2019

Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics.

[BibT_eX]

[DOI]

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Large Scale Graph Mining with G-Miner.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Management of Data, 2019

A Representation Learning Framework for Property Graphs.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Lightweight Fault Tolerance in Pregel-Like Systems.

[BibT_eX]

[DOI]

Purushotham V. Bangalore

Proceedings of the 48th International Conference on Parallel Processing, 2019

Grasper: A High Performance Distributed System for OLAP on Property Graphs.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets.

[BibT_eX]

[DOI]

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

Direct Acceleration of SAGA using Sampled Negative Momentum.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2018

Fuzzy Double Trace Norm Minimization for Recommendation Systems.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2018

FlexPS: Flexible Parallelism Control in Parameter Server Architecture.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS).

[BibT_eX]

[DOI]

CoRR, 2018

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2018

A General and Efficient Querying Method for Learning to Hash.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Management of Data, 2018

Norm-Ranging LSH for Maximum Inner Product Search.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates.

[BibT_eX]

[DOI]

Kaiwen Zhou

Proceedings of the 35th International Conference on Machine Learning, 2018

Scalable De Novo Genome Assembly Using Pregel.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

G-Miner: an efficient task-oriented graph mining system.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth EuroSys Conference, 2018

Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

ASVRG: Accelerated Proximal SVRG.

[BibT_eX]

[DOI]

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

Systems for Big Graph Analytics

[BibT_eX]

[DOI]

Da Yan

Yuanyuan Tian

Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-58216-0, 2017

LFTF: A Framework for Efficient Tensor Analytics at Scale.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2017

Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

G-thinker: Big Graph Mining Made Easier and Faster.

[BibT_eX]

[DOI]

CoRR, 2017

Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Variance Reduced Stochastic Gradient Descent with Sufficient Decrease.

[BibT_eX]

[DOI]

CoRR, 2017

The Best of Both Worlds: Big Data Programming with Both Productivity and Performance.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

LoSHa: A General Framework for Scalable Locality Sensitive Hashing.

[BibT_eX]

[DOI]

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Efficient Processing of Growing Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2017

Architectural implications on the performance and cost of graph analytics systems.

[BibT_eX]

[DOI]

Purushotham V. Bangalore

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Accelerated Variance Reduced Stochastic ADMM.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Distributed Maximal Clique Computation and Management.

[BibT_eX]

[DOI]

Yanyan Xu

IEEE Trans. Serv. Comput., 2016

Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Efficient Algorithms for Temporal Path Computation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Husky: Towards a More Efficient and Expressive Distributed Computing Framework.

[BibT_eX]

[DOI]

Fan Yang

Jinfeng Li

Proc. VLDB Endow., 2016

A General-Purpose Query-Centric Framework for Querying Big Graphs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2016

Efficient Processing of Very Large Graphs in a Small Cluster.

[BibT_eX]

[DOI]

CoRR, 2016

Lightweight Fault Tolerance in Large-Scale Distributed Graph Processing.

[BibT_eX]

[DOI]

Da Yan

Fan Yang

CoRR, 2016

Quegel: A General-Purpose Query-Centric Framework for Querying Big Graphs.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Unified Scalable Equivalent Formulations for Schatten Quasi-Norms.

[BibT_eX]

[DOI]

CoRR, 2016

End-to-End Java Security Performance Enhancements for Oracle SPARC Servers.

[BibT_eX]

[DOI]

Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering, 2016

Quegel: A General-Purpose System for Querying Big Graphs.

[BibT_eX]

[DOI]

Qizhen Zhang

Da Yan

Proceedings of the 2016 International Conference on Management of Data, 2016

Big Graph Analytics Systems.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Management of Data, 2016

Diversified Temporal Subgraph Pattern Mining.

[BibT_eX]

[DOI]

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

Reachability and time-based path queries in temporal graphs.

[BibT_eX]

[DOI]

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

A comparison of general-purpose distributed systems for data processing.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

SGraph: A Distributed Streaming System for Processing Big Graphs.

[BibT_eX]

[DOI]

Proceedings of the Big Data Computing and Communications - Second International Conference, 2016

Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Trace Norm Regularized CANDECOMP/PARAFAC Decomposition With Missing Data.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Efficient location-based search of trajectories with location importance.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2015

Fast PageRank approximation by adaptive sampling.

[BibT_eX]

[DOI]

Wenting Liu

Guangxia Li

Knowl. Inf. Syst., 2015

Robust bilinear factorization with missing and grossly corrupted observations.

[BibT_eX]

[DOI]

Inf. Sci., 2015

Regularized Orthogonal Tensor Decompositions for Multi-Relational Learning.

[BibT_eX]

[DOI]

CoRR, 2015

Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web, 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

Efficient processing of k-hop reachability queries.

[BibT_eX]

[DOI]

VLDB J., 2014

GBAGC: A General Bayesian Framework for Attributed Graph Clustering.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2014

Pregel Algorithms for Graph Connectivity Problems with Performance Guarantees.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2014

Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2014

Path Problems in Temporal Graphs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2014

Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2014

Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations.

[BibT_eX]

[DOI]

CoRR, 2014

Hop Doubling Label Indexing for Point-to-Point Distance Querying on Scale-Free Networks.

[BibT_eX]

[DOI]

Minhao Jiang

Raymond Chi-Wing Wong

Yanyan Xu

CoRR, 2014

Temporal Graph Traversals: Definitions, Algorithms, and Applications.

[BibT_eX]

[DOI]

Silu Huang

Huanhuan Wu

CoRR, 2014

Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Tripartite graph clustering for dynamic sentiment analysis on social media.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Management of Data, 2014

Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion.

[BibT_eX]

[DOI]

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

Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Recovering Low-Rank and Sparse Matrices via Robust Bilateral Factorization.

[BibT_eX]

[DOI]

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

SocialTransfer: Transferring Social Knowledge for Cold-Start Cowdsourcing.

[BibT_eX]

[DOI]

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

Truth Discovery in Data Streams: A Single-Pass Probabilistic Approach.

[BibT_eX]

[DOI]

Zhou Zhao

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

Robust Principal Component Analysis with Missing Data.

[BibT_eX]

[DOI]

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

Distributed Maximal Clique Computation.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

Rectangle Counting in Large Bipartite Graphs.

[BibT_eX]

[DOI]

Jia Wang

Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

Generalized Higher-Order Tensor Decomposition via Parallel ADMM.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

IS-LABEL: an Independent-Set based Labeling Scheme for Point-to-Point Distance Querying.

[BibT_eX]

[DOI]

Huanhuan Wu

Raymond Chi-Wing Wong

Proc. VLDB Endow., 2013

TF-Label: a topological-folding labeling scheme for reachability querying in a large graph.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Redundancy-aware maximal cliques.

[BibT_eX]

[DOI]

Jia Wang

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

Finding distance-preserving subgraphs in large road networks.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012

Triangle listing in massive networks.

[BibT_eX]

[DOI]

Shumo Chu

ACM Trans. Knowl. Discov. Data, 2012

Truss Decomposition in Massive Networks.

[BibT_eX]

[DOI]

Jia Wang

Proc. VLDB Endow., 2012

K-Reach: Who is in Your Small World.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2012

IS-LABEL: an Independent-Set based Labeling Scheme for Point-to-Point Distance Querying on Large Graphs

[BibT_eX]

[DOI]

Raymond Chi-Wing Wong

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

Efficient algorithms for generalized subgraph query processing.

[BibT_eX]

[DOI]

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

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

Structure and attribute index for approximate graph matching in large graphs.

[BibT_eX]

[DOI]

Linhong Zhu

Wee Keong Ng

Inf. Syst., 2011

Triangle listing in massive networks and its applications.

[BibT_eX]

[DOI]

Shumo Chu

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

Efficient core decomposition in massive networks.

[BibT_eX]

[DOI]

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

2010

GBLENDER: towards blending visual query formulation and query processing in graph databases.

[BibT_eX]

[DOI]

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

K-isomorphism: privacy preserving network publication against structural attacks.

[BibT_eX]

[DOI]

Jia Liu

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

Querying Large Graph Databases.

[BibT_eX]

[DOI]

Jeffrey Xu Yu

Proceedings of the Database Systems for Advanced Applications, 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

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

An Efficient Index Lattice for XML Query Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Databases: Concepts, 2007

Mining Vague Association Rules.

[BibT_eX]

[DOI]

Proceedings of the Advances in Databases: Concepts, 2007

A Development of Hash-Lookup Trees to Support Querying Streaming XML.

[BibT_eX]

[DOI]

Proceedings of the Advances in Databases: Concepts, 2007

2006

Comparative Analysis of XML Compression Technologies.

[BibT_eX]

[DOI]

Wai Yeung Lam

World Wide Web, 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

An Efficient Approach to Support Querying Secure Outsourced XML Information.

[BibT_eX]

[DOI]

Proceedings of the Advanced Information Systems Engineering, 18th International Conference, 2006

2004

XQzip: Querying Compressed XML Using Structural Indexing.

[BibT_eX]

[DOI]