Ruo-Ming Jin

Most-cited papers

A Survey of Algorithms for Dense Subgraph Discovery
Victor E. Lee, Ning Ruan, Ruo-Ming Jin, C. Aggarwal
2010Managing and Mining Graph Data267 citations
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3-HOP: a high-compression indexing scheme for reachability query
Ruo-Ming Jin, Yang Xiang, Ning Ruan, David Fuhry
2009SIGMOD Conference253 citations
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Large Scale Real-time Ridesharing with Service Guarantee on Road Networks
Yan Huang, Favyen Bastani, Ruo-Ming Jin, X. Wang
2013Proceedings of the VLDB Endowment218 citations Open access
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Efficiently answering reachability queries on very large directed graphs
Ruo-Ming Jin, Yang Xiang, Ning Ruan, Hai-Xun Wang
2008SIGMOD Conference192 citations
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Distance-Constraint Reachability Computation in Uncertain Graphs
Ruo-Ming Jin, Lin Liu, Bo-Lin Ding, Hai-Xun Wang
2011Proceedings of the VLDB Endowment190 citations Open access
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Robust Local Community Detection: On Free Rider Effect and Its Elimination
Yubao Wu, Ruo-Ming Jin, Jing Li, Xiang Zhang
2015Proceedings of the VLDB Endowment180 citations
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Computing label-constraint reachability in graph databases
Ruo-Ming Jin, Hui Hong, Hai-Xun Wang, Ning Ruan +1 more
2010SIGMOD Conference122 citations
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Axiomatic ranking of network role similarity
Ruo-Ming Jin, Victor E. Lee, Hui Hong
2011Knowledge Discovery and Data Mining115 citations Open access
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Reachability querying: an independent permutation labeling approach
Hao Wei, J. Yu, Can Lu, Ruo-Ming Jin
2014The VLDB journal105 citations Open access
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Discovering highly reliable subgraphs in uncertain graphs
Ruo-Ming Jin, Lin Liu, C. Aggarwal
2011Knowledge Discovery and Data Mining104 citations
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Learning personal + social latent factor model for social recommendation
Ye-Long Shen, Ruo-Ming Jin
2012Knowledge Discovery and Data Mining100 citations
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Topic level expertise search over heterogeneous networks
Jie Tang, Jing Zhang, Ruo-Ming Jin, Zi Yang +3 more
2010Machine-mediated learning100 citations Open access
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Communication motifs: a tool to characterize social communications
Qian-Kun Zhao, Yuan Tian, Qi He, Nuria Oliver +2 more
2010International Conference on Information and Knowledge Management98 citations
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A highway-centric labeling approach for answering distance queries on large sparse graphs
Ruo-Ming Jin, Ning Ruan, Yang Xiang, Victor E. Lee
2012SIGMOD Conference97 citations
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SCARAB: scaling reachability computation on large graphs
Ruo-Ming Jin, Ning Ruan, S. Dey, Jeffrey Xu
2012SIGMOD Conference96 citations
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Path-tree: An efficient reachability indexing scheme for large directed graphs
Ruo-Ming Jin, Ning Ruan, Yang Xiang, Hai-Xun Wang
2011TODS94 citations
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Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia
Jie Zhang, Yang Xiang, Liya Ding, Kristin Keen-Circle +5 more
2010BMC Bioinformatics87 citations Open access
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On dense pattern mining in graph streams
C. Aggarwal, Yao Li, Philip S. Yu, Ruo-Ming Jin
2010Proceedings of the VLDB Endowment86 citations
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Simple, Fast, and Scalable Reachability Oracle
Ruo-Ming Jin, Guan Wang
2013Proceedings of the VLDB Endowment79 citations Open access
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Summarizing transactional databases with overlapped hyperrectangles
Yang Xiang, Ruo-Ming Jin, David Fuhry, F. Dragan
2011Data mining and knowledge discovery79 citations
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Reliable clustering on uncertain graphs
Lin Liu, Ruo-Ming Jin, C. Aggarwal, Ye-Long Shen
20122012 IEEE 12th International Conference on Data Mining76 citations
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Migration motif: a spatial - temporal pattern mining approach for financial markets
Xiaoxi Du, Ruo-Ming Jin, Liang Ding, Victor E. Lee +1 more
2009Knowledge Discovery and Data Mining72 citations
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On Sampling Top-K Recommendation Evaluation
Dong Li, Ruo-Ming Jin, Jing Gao, Zhi Liu
2020Knowledge Discovery and Data Mining63 citations Open access
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Fast and unified local search for random walk based k-nearest-neighbor query in large graphs
Yubao Wu, Ruo-Ming Jin, Xiang Zhang
2014SIGMOD Conference59 citations
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Relational Approach for Shortest Path Discovery over Large Graphs
Jun Gao, Ruo-Ming Jin, Jiashuai Zhou, J. Yu +2 more
2011Proceedings of the VLDB Endowment59 citations Open access
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Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
Nhathai Phan, Minh N. Vu, Yang Liu, Ruo-Ming Jin +3 more
2019International Joint Conference on Artificial Intelligence58 citations Open access
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Scalable Differential Privacy with Certified Robustness in Adversarial Learning
Nhathai Phan, M. Thai, Han Hu, Ruo-Ming Jin +2 more
2019International Conference on Machine Learning55 citations
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Neighborhood-privacy protected shortest distance computing in cloud
Jun Gao, J. Yu, Ruo-Ming Jin, Jiashuai Zhou +2 more
2011ACM SIGMOD Conference54 citations
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Efficient skyline computation in metric space
David Fuhry, Ruo-Ming Jin, Donghui Zhang
2009International Conference on Extending Database Technology52 citations Open access
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Privacy-aware smart city: A case study in collaborative filtering recommender systems
Feng Zhang, Victor E. Lee, Ruo-Ming Jin, S. Garg +4 more
2018J. Parallel Distributed Comput.51 citations Open access
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Succinct summarization of transactional databases: an overlapped hyperrectangle scheme
Yang Xiang, Ruo-Ming Jin, David Fuhry, F. Dragan
2008Knowledge Discovery and Data Mining51 citations
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Noah: a dynamic ridesharing system
Charles Tian, Yan Huang, Zhi Liu, Favyen Bastani +1 more
2013ACM SIGMOD Conference50 citations
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Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory
Ze-Ru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou +6 more
2021Neural Information Processing Systems47 citations
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Adversarial Attacks on Deep Graph Matching
Zijie Zhang, Zeru Zhang, Yang Zhou, Ye-Long Shen +2 more
2020Neural Information Processing Systems42 citations
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Effective and efficient itemset pattern summarization: regression-based approaches
Ruo-Ming Jin, M. Abu-Ata, Yang Xiang, Ning Ruan
2008Knowledge Discovery and Data Mining42 citations
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Towards a Better Understanding of Linear Models for Recommendation
Ruo-Ming Jin, Dong Li, Jing Gao, Zhi Liu +2 more
2021Knowledge Discovery and Data Mining40 citations Open access
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in Neural
Zijie Zhang, Zeru Zhang, Yang Zhou, Ye-Long Shen +2 more
202036 citations
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Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks
Xin Zhao, Ze-Ru Zhang, Zijie Zhang, Ling-Fei Wu +5 more
2021International Conference on Machine Learning35 citations
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Distance Preserving Graph Simplification
Ning Ruan, Ruo-Ming Jin, Yan Huang
20112011 IEEE 11th International Conference on Data Mining35 citations Open access
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Finding dense and connected subgraphs in dual networks
Yubao Wu, Ruo-Ming Jin, Xiao-Feng Zhu, Xiang Zhang
2015IEEE International Conference on Data Engineering34 citations
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Scalable and Axiomatic Ranking of Network Role Similarity
Ruo-Ming Jin, Victor E. Lee, Longjie Li
2014ACM Transactions on Knowledge Discovery from Data34 citations Open access
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Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification
Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang +3 more
2018Industrial Conference on Data Mining30 citations
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A Hypergraph-based Method for Discovering Semantically Associated Itemsets
Haishan Liu, Paea Le Pendu, Ruo-Ming Jin, D. Dou
20112011 IEEE 11th International Conference on Data Mining29 citations
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iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures
Zhen Peng, Minjia Zhang, K. Li, Ruo-Ming Jin +1 more
2023ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming27 citations Open access
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Unsupervised Adversarial Network Alignment with Reinforcement Learning
Yang Zhou, Jiaxiang Ren, Ruo-Ming Jin, Zijie Zhang +4 more
2021ACM Transactions on Knowledge Discovery from Data26 citations
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Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering
Yang Zhou, Amnay Amimeur, Chao Jiang, D. Dou +2 more
20182018 IEEE International Conference on Big Data (Big Data)26 citations
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Mining Biomedical Ontologies and Data Using RDF Hypergraphs
Haishan Liu, D. Dou, Ruo-Ming Jin, Paea LePendu +1 more
2013International Conference on Machine Learning and Applications25 citations
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Overlapping Matrix Pattern Visualization: A Hypergraph Approach
Ruo-Ming Jin, Yang Xiang, David Fuhry, F. Dragan
20082008 Eighth IEEE International Conference on Data Mining25 citations
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An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning
Han Hu, Nhathai Phan, Soon Ae Chun, J. Geller +6 more
2019Computational Social Networks23 citations Open access
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Efficient location aware intrusion detection to protect mobile devices
Sausan Yazji, Peter Scheuermann, Robert P. Dick, Goce Trajcevski +1 more
2012Personal and Ubiquitous Computing23 citations Open access
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