Ruoming Jin

Orcid: 0000-0003-1895-4243

According to our database1, Ruoming Jin authored at least 159 papers between 2000 and 2024.

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Bibliography

2024
On Item-Sampling Evaluation for Recommender System.
Trans. Recomm. Syst., March, 2024

FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps.
IEEE Trans. Mob. Comput., January, 2024

AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance.
Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

Federated Joint Learning of Robot Networks in Stroke Rehabilitation.
Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
Identifying the Edges of the Optic Cup and the Optic Disc in Glaucoma Patients by Segmentation.
Sensors, 2023

iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures.
IEEE Data Eng. Bull., 2023

Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report).
CoRR, 2023

(Debiased) Contrastive Learning Loss for Recommendation (Technical Report).
CoRR, 2023

Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance.
CoRR, 2023

iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures.
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

Zone-based Federated Learning for Mobile Sensing Data.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2023

Scalable Deep Metric Learning on Attributed Graphs.
Proceedings of the Computational Data and Social Networks - 12th International Conference, 2023

Towards Reliable Item Sampling for Recommendation Evaluation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Unsupervised Adversarial Network Alignment with Reinforcement Learning.
ACM Trans. Knowl. Discov. Data, 2022

Generation-Augmented Query Expansion For Code Retrieval.
CoRR, 2022

Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism.
CoRR, 2022

Federated Fingerprint Learning with Heterogeneous Architectures.
Proceedings of the IEEE International Conference on Data Mining, 2022

Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Deep Graph Clustering with Random-walk based Scalable Learning.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning.
CoRR, 2021

FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps.
CoRR, 2021

Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards a Better Understanding of Linear Models for Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Integrated Defense for Resilient Graph Matching.
Proceedings of the 38th International Conference on Machine Learning, 2021

HEALS: A Parallel eALS Recommendation System on CPU/GPU Heterogeneous Platforms.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

A Framework for Accelerating Graph Convolutional Networks on Massive Datasets.
Proceedings of the Computational Data and Social Networks - 10th International Conference, 2021

On Estimating Recommendation Evaluation Metrics under Sampling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Adversarial Attacks on Deep Graph Matching.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Sampling Top-K Recommendation Evaluation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms.
Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

Scalable Differential Privacy with Certified Robustness in Adversarial Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Robust Meta Network Embedding against Adversarial Attacks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Privacy-aware smart city: A case study in collaborative filtering recommender systems.
J. Parallel Distributed Comput., 2019

Detecting events from the social media through exemplar-enhanced supervised learning.
Int. J. Digit. Earth, 2019

Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage!
CoRR, 2019

Preserving Differential Privacy in Adversarial Learning with Provable Robustness.
CoRR, 2019

Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Dual Adversarial Learning Based Network Alignment.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

DrugTracker: A Community-focused Drug Abuse Monitoring and Supporting System using Social Media and Geospatial Data (Demo Paper).
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention.
Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Uncertain Graph Data Management.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Recursive Structure Similarity: A Novel Algorithm for Graph Clustering.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification.
Proceedings of the IEEE International Conference on Data Mining, 2018

Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016
Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large Graphs.
IEEE Trans. Knowl. Data Eng., 2016

Mining Dual Networks: Models, Algorithms, and Applications.
ACM Trans. Knowl. Discov. Data, 2016

Dynamic socialized Gaussian process models for human behavior prediction in a health social network.
Knowl. Inf. Syst., 2016

Leveraging a Graph-Powered, Real-Time Recommendation Engine to Create Rapid Business Value.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015
Robust Local Community Detection: On Free Rider Effect and Its Elimination.
Proc. VLDB Endow., 2015

A Deep Embedding Model for Co-occurrence Learning.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Finding dense and connected subgraphs in dual networks.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014
Scalable and axiomatic ranking of network role similarity.
ACM Trans. Knowl. Discov. Data, 2014

Reachability Querying: An Independent Permutation Labeling Approach.
Proc. VLDB Endow., 2014

Large Scale Real-time Ridesharing with Service Guarantee on Road Networks.
Proc. VLDB Endow., 2014

Efficient location aware intrusion detection to protect mobile devices.
Pers. Ubiquitous Comput., 2014

Fast and unified local search for random walk based k-nearest-neighbor query in large graphs.
Proceedings of the International Conference on Management of Data, 2014

k-CoRating: Filling Up Data to Obtain Privacy and Utility.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Frequent Pattern Mining in Data Streams.
Proceedings of the Frequent Pattern Mining, 2014

Decision Trees: Theory and Algorithms.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
Outsourcing shortest distance computing with privacy protection.
VLDB J., 2013

Simple, Fast, and Scalable Reachability Oracle.
Proc. VLDB Endow., 2013

Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention
CoRR, 2013

Hub-Accelerator: Fast and Exact Shortest Path Computation in Large Social Networks
CoRR, 2013

Frequent Subgraph Summarization with Error Control.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Noah: a dynamic ridesharing system.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Mining Biomedical Ontologies and Data Using RDF Hypergraphs.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012
Merging network patterns: a general framework to summarize biomedical network data.
Netw. Model. Anal. Health Informatics Bioinform., 2012

Network Backbone Discovery Using Edge Clustering
CoRR, 2012

A highway-centric labeling approach for answering distance queries on large sparse graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

SCARAB: scaling reachability computation on large graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Optimizing index for taxonomy keyword search.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Learning personal + social latent factor model for social recommendation.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Reliable Clustering on Uncertain Graphs.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Path-tree: An efficient reachability indexing scheme for large directed graphs.
ACM Trans. Database Syst., 2011

Distance-Constraint Reachability Computation in Uncertain Graphs.
Proc. VLDB Endow., 2011

Relational Approach for Shortest Path Discovery over Large Graphs.
Proc. VLDB Endow., 2011

Topic level expertise search over heterogeneous networks.
Mach. Learn., 2011

Summarizing transactional databases with overlapped hyperrectangles.
Data Min. Knowl. Discov., 2011

Neighborhood-privacy protected shortest distance computing in cloud.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Axiomatic ranking of network role similarity.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Discovering highly reliable subgraphs in uncertain graphs.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Distance Preserving Graph Simplification.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A Hypergraph-based Method for Discovering Semantically Associated Itemsets.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Multi-view random walk framework for search task discovery from click-through log.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
A Survey of Algorithms for Dense Subgraph Discovery.
Proceedings of the Managing and Mining Graph Data, 2010

On Dense Pattern Mining in Graph Streams.
Proc. VLDB Endow., 2010

Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia.
BMC Bioinform., 2010

Computing label-constraint reachability in graph databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Communication motifs: a tool to characterize social communications.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Data discretization unification.
Knowl. Inf. Syst., 2009

3-HOP: a high-compression indexing scheme for reachability query.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Identifying Dynamic Network Modules with Temporal and Spatial Constraints.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

Cartesian contour: a concise representation for a collection of frequent sets.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Migration motif: a spatial - temporal pattern mining approach for financial markets.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Using Frequent Co-expression Network to Identify Gene Clusters for Breast Cancer Prognosis.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

Multiple Information Sources Cooperative Learning.
Proceedings of the IJCAI 2009, 2009

A Sparsification Approach for Temporal Graphical Model Decomposition.
Proceedings of the ICDM 2009, 2009

A Tree-Based Framework for Difference Summarization.
Proceedings of the ICDM 2009, 2009

Estimating the number of frequent itemsets in a large database.
Proceedings of the EDBT 2009, 2009

Efficient skyline computation in metric space.
Proceedings of the EDBT 2009, 2009

2008
MMIS07, 08: mining multiple information sources workshop report.
SIGKDD Explor., 2008

Middleware for data mining applications on clusters and grids.
J. Parallel Distributed Comput., 2008

Query Planning for Searching Inter-dependent Deep-Web Databases.
Proceedings of the Scientific and Statistical Database Management, 2008

Efficiently answering reachability queries on very large directed graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Succinct summarization of transactional databases: an overlapped hyperrectangle scheme.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Effective and efficient itemset pattern summarization: regression-based approaches.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

A Topic Modeling Approach and Its Integration into the Random Walk Framework for Academic Search.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Overlapping Matrix Pattern Visualization: A Hypergraph Approach.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Cost-based query optimization for complex pattern mining on multiple databases.
Proceedings of the EDBT 2008, 2008

2007
Frequent Pattern Mining in Data Streams.
Proceedings of the Data Streams - Models and Algorithms, 2007

Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Graph and Topological Structure Mining on Scientific Articles.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

SNPMiner: A Domain-Specific Deep Web Mining Tool.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Fast and exact out-of-core and distributed <i>k</i>-means clustering.
Knowl. Inf. Syst., 2006

FREERIDE-G: Supporting Applications that Mine Remote.
Proceedings of the 2006 International Conference on Parallel Processing (ICPP 2006), 2006

New Sampling-Based Estimators for OLAP Queries.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases.
Proceedings of the 22nd International Conference on Data Engineering, 2006

A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries.
Proceedings of the Advances in Database Technology, 2006

Assigning Schema Labels Using Ontology And Hueristics.
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006

Exploratory Tools for Follow­Up Studies to Microarray Experiments.
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006

2005
Communication and Memory Optimal Parallel Data Cube Construction.
IEEE Trans. Parallel Distributed Syst., 2005

Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance.
IEEE Trans. Knowl. Data Eng., 2005

A methodology for detailed performance modeling of reduction computations on SMP machines.
Perform. Evaluation, 2005

Discovering frequent topological structures from graph datasets.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

A framework to support multiple query optimization for complex mining tasks.
Proceedings of the 6th international workshop on Multimedia data mining, 2005

Simultaneous optimization of complex mining tasks with a knowledgeable cache.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Parallelizing a Defect Detection and Categorization Application.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

An Algorithm for In-Core Frequent Itemset Mining on Streaming Data.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Learning Layouts of Biological Datasets Semi-automatically.
Proceedings of the Data Integration in the Life Sciences, Second InternationalWorkshop, 2005

Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets.
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005

2004
Using Tiling to Scale Parallel Data Cube Construction.
Proceedings of the 33rd International Conference on Parallel Processing (ICPP 2004), 2004

Fast and Exact Out-of-Core K-Means Clustering.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003
Implementing data cube construction using a cluster middleware: algorithms, implementation experience, and performance evaluation.
Future Gener. Comput. Syst., 2003

Communication and Memory Efficient Parallel Decision Tree Construction.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Efficient decision tree construction on streaming data.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Impact of Data Distribution, Level of Parallelism, and Communication Frequency on Parallel Data Cube Construction.
Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003

A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms.
Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003

Parallel Data Cube Construction: Algorithms, Theoretical Analysis, and Experimental Evaluation.
Proceedings of the High Performance Computing - HiPC 2003, 10th International Conference, 2003

2002
Performance prediction for random write reductions: a case study in modeling shared memory programs.
Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2002

Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms.
Proceedings of the Languages and Compilers for Parallel Computing, 15th Workshop, 2002

Design and Evaluation of a High-Level Interface for Data Mining.
Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002

Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware.
Proceedings of the Euro-Par 2002, 2002

Runtime support for parallelizing data mining algorithms.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2002

2001
A Middleware for Developing Parallel Data Mining Applications.
Proceedings of the First SIAM International Conference on Data Mining, 2001

Compiler and Middleware Support for Scalable Data Mining.
Proceedings of the Languages and Compilers for Parallel Computing, 2001

An efficient association mining implementation on clusters of SMP.
Proceedings of the 15th International Parallel & Distributed Processing Symposium (IPDPS-01), 2001

2000
High Level Programming Methodologies for Data Intensive Computations.
Proceedings of the Languages, 2000

Compiling Data Intensive Applications with Spatial Coordinates.
Proceedings of the Languages and Compilers for Parallel Computing, 2000


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