Investigating Large Language Models in Inferring Personality Traits from User Conversations. - Zhu, Jianfeng; Jin, Ruoming; Coifman, Karin G. (CoRR, 2025)

Leveraging Large Language Models to Analyze Emotional and Contextual Drivers of Teen Substance Use in Online Discussions. - Zhu, Jianfeng; Jin, Ruoming; Jiang, Hailong; Wang, Yulan; Zhang, Xinyu; Coifman, Karin G. (CoRR, 2025)

Can Large Language Models Understand Intermediate Representations? - Jiang, Hailong; Zhu, Jianfeng; Wan, Yao; Fang, Bo; Zhang, Hongyu; Jin, Ruoming; Guan, Qiang (CoRR, 2025)

FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning. - Lai, Phung; Jiang, Xiaopeng; Phan, Hai; Borcea, Cristian; Tran, Khang; Chen, An M.; Mayyuri, Vijaya Datta; Jin, Ruoming (CoRR, 2025)

SoK: Are Watermarks in LLMs Ready for Deployment? - Dang, Kieu; Lai, Phung; Phan, NhatHai; Shen, Yelong; Jin, Ruoming; Khreishah, Abdallah; Thai, My T. (CoRR, 2025)

FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps. - Jiang, Xiaopeng; Hu, Han; On, Thinh; Lai, Phung; Mayyuri, Vijaya Datta; Chen, An M.; Shila, Devu M.; Larmuseau, Adriaan; Jin, Ruoming; Borcea, Cristian; Phan, NhatHai (IEEE Trans. Mob. Comput., 2024)

On Item-Sampling Evaluation for Recommender System. - Li, Dong; Jin, Ruoming; Liu, Zhenming; Ren, Bin; Gao, Jing; Liu, Zhi (Trans. Recomm. Syst., 2024)

Federated Contrastive Learning of Graph-Level Representations. - Li, Xiang; Agrawal, Gagan; Ramnath, Rajiv; Jin, Ruoming (2024)

Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. - Ton, Khiem; Nguyen, Nhi; Nazzal, Mahmoud; Khreishah, Abdallah; Borcea, Cristian; Phan, NhatHai; Jin, Ruoming; Khalil, Issa; Shen, Yelong (2024)

Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. - Liu, Ji; Ren, Jiaxiang; Jin, Ruoming; Zhang, Zijie; Zhou, Yang; Valduriez, Patrick; Dou, Dejing (2024)

Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance. - Zhu, Jie; Hu, Mengsha; Zhang, Amy; Jin, Ruoming; Liu, Rui (2024)

Federated Joint Learning of Robot Networks in Stroke Rehabilitation. - Jiang, Xinyu; Guo, Yibei; Hu, Mengsha; Jin, Ruoming; Phan, Hai; Alberts, Jay; Liu, Rui (2024)

AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. - Liu, Ji; Che, Tianshi; Zhou, Yang; Jin, Ruoming; Dai, Huaiyu; Dou, Dejing; Valduriez, Patrick (2024)

HAppA: A Modular Platform for HPC Application Resilience Analysis with LLMs Embedded. - Jiang, Hailong; Zhu, Jianfeng; Fang, Bo; Barker, Kevin J.; Chen, Chao; Jin, Ruoming; Guan, Qiang (2024)

Federated Joint Learning of Robot Networks in Stroke Rehabilitation. - Jiang, Xinyu; Guo, Yibei; Hu, Mengsha; Jin, Ruoming; Phan, Hai; Alberts, Jay; Liu, Rui (CoRR, 2024)

Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. - Ton, Khiem; Nguyen, Nhi; Nazzal, Mahmoud; Khreishah, Abdallah; Borcea, Cristian; Phan, NhatHai; Jin, Ruoming; Khalil, Issa; Shen, Yelong (CoRR, 2024)

Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. - Liu, Ji; Ren, Jiaxiang; Jin, Ruoming; Zhang, Zijie; Zhou, Yang; Valduriez, Patrick; Dou, Dejing (CoRR, 2024)

Federated Contrastive Learning of Graph-Level Representations. - Li, Xiang; Agrawal, Gagan; Ramnath, Rajiv; Jin, Ruoming (CoRR, 2024)

Scalable Deep Metric Learning on Attributed Graphs. - Li, Xiang; Agrawal, Gagan; Jin, Ruoming; Ramnath, Rajiv (CoRR, 2024)

iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures. - Zhang, Minjia; Ren, Jie; Peng, Zhen; Jin, Ruoming; Li, Dong; Ren, Bin (IEEE Data Eng. Bull., 2023)

Identifying the Edges of the Optic Cup and the Optic Disc in Glaucoma Patients by Segmentation. - Tadisetty, Srikanth; Chodavarapu, Ranjith; Jin, Ruoming; Clements, Robert J.; Yu, Minzhong (Sensors, 2023)

Towards Reliable Item Sampling for Recommendation Evaluation. - Li, Dong; Jin, Ruoming; Liu, Zhenming; Ren, Bin; Gao, Jing; Liu, Zhi (2023)

Scalable Deep Metric Learning on Attributed Graphs. - Li, Xiang; Agrawal, Gagan; Jin, Ruoming; Ramnath, Rajiv (2023)

Zone-based Federated Learning for Mobile Sensing Data. - Jiang, Xiaopeng; On, Thinh; Phan, NhatHai; Mohammadi, Hessamaldin; Mayyuri, Vijaya Datta; Chen, An M.; Jin, Ruoming; Borcea, Cristian (2023)

iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures. - Peng, Zhen; Zhang, Minjia; Li, Kai; Jin, Ruoming; Ren, Bin (2023)

Zone-based Federated Learning for Mobile Sensing Data. - Jiang, Xiaopeng; On, Thinh; Phan, NhatHai; Mohammadi, Hessamaldin; Mayyuri, Vijaya Datta; Chen, An M.; Jin, Ruoming; Borcea, Cristian (CoRR, 2023)

Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance. - Zhu, Jie; Hu, Mengsha; Liang, Xueyao; Zhang, Amy; Jin, Ruoming; Liu, Rui (CoRR, 2023)

(Debiased) Contrastive Learning Loss for Recommendation (Technical Report). - Jin, Ruoming; Li, Dong (CoRR, 2023)

Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report). - Li, Dong; Jin, Ruoming; Ren, Bin (CoRR, 2023)

AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. - Liu, Ji; Che, Tianshi; Zhou, Yang; Jin, Ruoming; Dai, Huaiyu; Dou, Dejing; Valduriez, Patrick (CoRR, 2023)

Unsupervised Adversarial Network Alignment with Reinforcement Learning. - Zhou, Yang; Ren, Jiaxiang; Jin, Ruoming; Zhang, Zijie; Zheng, Jingyi; Jiang, Zhe; Yan, Da; Dou, Dejing (ACM Trans. Knowl. Discov. Data, 2022)

Deep Graph Clustering with Random-walk based Scalable Learning. - Li, Xiang; Li, Dong; Jin, Ruoming; Ramnath, Rajiv; Agrawal, Gagan (2022)

Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. - Lai, Phung; Hu, Han; Phan, Hai; Jin, Ruoming; Thai, My T.; Chen, An M. (2022)

Federated Fingerprint Learning with Heterogeneous Architectures. - Che, Tianshi; Zhang, Zijie; Zhou, Yang; Zhao, Xin; Liu, Ji; Jiang, Zhe; Yan, Da; Jin, Ruoming; Dou, Dejing (2022)

Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism. - Peng, Zhen; Zhang, Minjia; Li, Kai; Jin, Ruoming; Ren, Bin (CoRR, 2022)

Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. - Lai, Phung; Hu, Han; Phan, NhatHai; Jin, Ruoming; Thai, My T.; Chen, An M. (CoRR, 2022)

Towards Reliable Item Sampling for Recommendation Evaluation. - Li, Dong; Jin, Ruoming; Liu, Zhenming; Ren, Bin; Gao, Jing; Liu, Zhi (CoRR, 2022)

Generation-Augmented Query Expansion For Code Retrieval. - Li, Dong; Shen, Yelong; Jin, Ruoming; Mao, Yi; Wang, Kuan; Chen, Weizhu (CoRR, 2022)

On Estimating Recommendation Evaluation Metrics under Sampling. - Jin, Ruoming; Li, Dong; Mudrak, Benjamin; Gao, Jing; Liu, Zhi (2021)

A Framework for Accelerating Graph Convolutional Networks on Massive Datasets. - Li, Xiang; Jin, Ruoming; Ramnath, Rajiv; Agrawal, Gagan (2021)

HEALS: A Parallel eALS Recommendation System on CPU/GPU Heterogeneous Platforms. - Wang, Qihan; Niu, Wei; Chen, Li; Jin, Ruoming; Ren, Bin (2021)

Integrated Defense for Resilient Graph Matching. - Ren, Jiaxiang; Zhang, Zijie; Jin, Jiayin; Zhao, Xin; Wu, Sixing; Zhou, Yang; Shen, Yelong; Che, Tianshi; Jin, Ruoming; Dou, Dejing (2021)

Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. - Zhao, Xin; Zhang, Zeru; Zhang, Zijie; Wu, Lingfei; Jin, Jiayin; Zhou, Yang; Jin, Ruoming; Dou, Dejing; Yan, Da (2021)

Towards a Better Understanding of Linear Models for Recommendation. - Jin, Ruoming; Li, Dong; Gao, Jing; Liu, Zhi; Chen, Li; Zhou, Yang (2021)

Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. - Zhang, Zeru; Jin, Jiayin; Zhang, Zijie; Zhou, Yang; Zhao, Xin; Ren, Jiaxiang; Liu, Ji; Wu, Lingfei; Jin, Ruoming; Dou, Dejing (2021)

Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination. - Zhou, Yang; Zhang, Zeru; Wu, Sixing; Sheng, Victor S.; Han, Xiaoying; Zhang, Zijie; Jin, Ruoming (2021)

Computational Data and Social Networks - 10th International Conference, CSoNet 2021, Virtual Event, November 15-17, 2021, Proceedings (Springer, 2021)

20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021 (IEEE, 2021)

On Estimating Recommendation Evaluation Metrics under Sampling. - Jin, Ruoming; Li, Dong; Mudrak, Benjamin; Gao, Jing; Liu, Zhi (CoRR, 2021)

Towards a Better Understanding of Linear Models for Recommendation. - Jin, Ruoming; Li, Dong; Gao, Jing; Liu, Zhi; Chen, Li; Zhou, Yang (CoRR, 2021)

On Sampling Top-K Recommendation Evaluation. - Li, Dong; Jin, Ruoming; Gao, Jing; Liu, Zhi (CoRR, 2021)

FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps. - Hu, Han; Jiang, Xiaopeng; Mayyuri, Vijaya Datta; Chen, An M.; Shila, Devu M.; Larmuseau, Adriaan; Jin, Ruoming; Borcea, Cristian; Phan, NhatHai (CoRR, 2021)

Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning. - Li, Xiang; Li, Dong; Jin, Ruoming; Agrawal, Gagan; Ramnath, Rajiv (CoRR, 2021)

Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference. - Zhou, Yang; Ren, Jiaxiang; Jin, Ruoming; Zhang, Zijie; Dou, Dejing; Yan, Da (2020)

Robust Meta Network Embedding against Adversarial Attacks. - Zhou, Yang; Ren, Jiaxiang; Dou, Dejing; Jin, Ruoming; Zheng, Jingyi; Lee, Kisung (2020)

Scalable Differential Privacy with Certified Robustness in Adversarial Learning. - Phan, NhatHai; Thai, My T.; Hu, Han; Jin, Ruoming; Sun, Tong; Dou, Dejing (2020)

Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms. - Jin, Ruoming; Peng, Zhen; Wu, Wendell; Dragan, Feodor F.; Agrawal, Gagan; Ren, Bin (2020)

On Sampling Top-K Recommendation Evaluation. - Li, Dong; Jin, Ruoming; Gao, Jing; Liu, Zhi (2020)

Adversarial Attacks on Deep Graph Matching. - Zhang, Zijie; Zhang, Zeru; Zhou, Yang; Shen, Yelong; Jin, Ruoming; Dou, Dejing (2020)

Detecting events from the social media through exemplar-enhanced supervised learning. - Shi, Xuan; Xue, Bowei; Tsou, Ming-Hsiang; Ye, Xinyue; Spitzberg, Brian H.; Gawron, Jean Mark; Corliss, Heather; Lee, Jay; Jin, Ruoming (Int. J. Digit. Earth, 2019)

Privacy-aware smart city: A case study in collaborative filtering recommender systems. - Zhang, Feng; Lee, Victor E.; Jin, Ruoming; Garg, Saurabh; Choo, Kim-Kwang Raymond; Maasberg, Michele; Dong, Lijun; Cheng, Chi (J. Parallel Distributed Comput., 2019)

Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification. - Zhou, Yang; Jiang, Chao; Zhang, Zijie; Dou, Dejing; Jin, Ruoming; Wang, Pengwei (2019)

Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets. - Zhou, Yang; Ren, Jiaxiang; Wu, Sixing; Dou, Dejing; Jin, Ruoming; Zhang, Zijie; Wang, Pengwei (2019)

Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention. - Jin, Ruoming; Sheng, Yelong; Liu, Lin; Chen, Xue-wen; Phan, NhatHai (2019)

DrugTracker: A Community-focused Drug Abuse Monitoring and Supporting System using Social Media and Geospatial Data (Demo Paper). - Hu, Han; Phan, NhatHai; Ye, Xinyue; Jin, Ruoming; Ding, Kele; Dou, Dejing; Vo, Huy T. (2019)

Dual Adversarial Learning Based Network Alignment. - Ren, Jiaxiang; Zhou, Yang; Jin, Ruoming; Zhang, Zijie; Dou, Dejing; Wang, Pengwei (2019)

Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. - Phan, NhatHai; Vu, Minh N.; Liu, Yang; Jin, Ruoming; Dou, Dejing; Wu, Xintao; Thai, My T. (2019)

Preserving Differential Privacy in Adversarial Learning with Provable Robustness. - Phan, NhatHai; Jin, Ruoming; Thai, My T.; Hu, Han; Dou, Dejing (CoRR, 2019)

Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. - Phan, NhatHai; Vu, Minh N.; Liu, Yang; Jin, Ruoming; Dou, Dejing; Wu, Xintao; Thai, My T. (CoRR, 2019)

Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage! - Jin, Ruoming; Peng, Zhen; Wu, Wendell; Dragan, Feodor F.; Agrawal, Gagan; Ren, Bin (CoRR, 2019)

Reachability querying: an independent permutation labeling approach. - Wei, Hao; Yu, Jeffrey Xu; Lu, Can; Jin, Ruoming (VLDB J., 2018)

Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering. - Zhou, Yang; Amimeur, Amnay; Jiang, Chao; Dou, Dejing; Jin, Ruoming; Wang, Pengwei (2018)

Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification. - Zhou, Yang; Wu, Sixing; Jiang, Chao; Zhang, Zijie; Dou, Dejing; Jin, Ruoming; Wang, Pengwei (2018)

Recursive Structure Similarity: A Novel Algorithm for Graph Clustering. - Fang, Yixin; Jin, Ruoming; Xiong, Wei; Qian, Xiaoning; Dou, Dejing; Phan, Hai (2018)

Uncertain Graph Data Management. - Liu, Lin; Lee, Victor E.; Jin, Ruoming (2018)

Dynamic socialized Gaussian process models for human behavior prediction in a health social network. - Shen, Yelong; Phan, NhatHai; Xiao, Xiao; Jin, Ruoming; Sun, Junfeng; Piniewski, Brigitte; Kil, David; Dou, Dejing (Knowl. Inf. Syst., 2016)

Mining Dual Networks: Models, Algorithms, and Applications. - Wu, Yubao; Zhu, Xiaofeng; Li, Li; Fan, Wei; Jin, Ruoming; Zhang, Xiang (ACM Trans. Knowl. Discov. Data, 2016)

Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large Graphs. - Wu, Yubao; Jin, Ruoming; Zhang, Xiang (IEEE Trans. Knowl. Data Eng., 2016)

Leveraging a Graph-Powered, Real-Time Recommendation Engine to Create Rapid Business Value. - Anthony, Adam; Shih, Yu-Keng; Jin, Ruoming; Xiang, Yang (2016)

Robust Local Community Detection: On Free Rider Effect and Its Elimination. - Wu, Yubao; Jin, Ruoming; Li, Jing; Zhang, Xiang (Proc. VLDB Endow., 2015)

Finding dense and connected subgraphs in dual networks. - Wu, Yubao; Jin, Ruoming; Zhu, Xiaofeng; Zhang, Xiang (2015)

A Deep Embedding Model for Co-occurrence Learning. - Shen, Yelong; Jin, Ruoming; Chen, Jianshu; He, Xiaodong; Gao, Jianfeng; Deng, Li (2015)

A Deep Embedding Model for Co-occurrence Learning. - Shen, Yelong; Jin, Ruoming; Chen, Jianshu; He, Xiaodong; Gao, Jianfeng; Deng, Li (CoRR, 2015)

Efficient location aware intrusion detection to protect mobile devices. - Yazji, Sausan; Scheuermann, Peter; Dick, Robert P.; Trajcevski, Goce; Jin, Ruoming (Pers. Ubiquitous Comput., 2014)

Reachability Querying: An Independent Permutation Labeling Approach. - Wei, Hao; Yu, Jeffrey Xu; Lu, Can; Jin, Ruoming (Proc. VLDB Endow., 2014)

Large Scale Real-time Ridesharing with Service Guarantee on Road Networks. - Huang, Yan; Bastani, Favyen; Jin, Ruoming; Wang, Xiaoyang Sean (Proc. VLDB Endow., 2014)

Scalable and axiomatic ranking of network role similarity. - Jin, Ruoming; Lee, Victor E.; Li, Longjie (ACM Trans. Knowl. Discov. Data, 2014)

k-CoRating: Filling Up Data to Obtain Privacy and Utility. - Zhang, Feng; Lee, Victor E.; Jin, Ruoming (2014)

Fast and unified local search for random walk based k-nearest-neighbor query in large graphs. - Wu, Yubao; Jin, Ruoming; Zhang, Xiang (2014)

Decision Trees: Theory and Algorithms. - Lee, Victor E.; Liu, Lin; Jin, Ruoming (2014)

Frequent Pattern Mining in Data Streams. - Lee, Victor E.; Jin, Ruoming; Agrawal, Gagan (2014)

Simple, Fast, and Scalable Reachability Oracle. - Jin, Ruoming; Wang, Guan (Proc. VLDB Endow., 2013)

Outsourcing shortest distance computing with privacy protection. - Gao, Jun; Yu, Jeffrey Xu; Jin, Ruoming; Zhou, Jiashuai; Wang, Tengjiao; Yang, Dongqing (VLDB J., 2013)

Mining Biomedical Ontologies and Data Using RDF Hypergraphs. - Liu, Haishan; Dou, Dejing; Jin, Ruoming; LePendu, Paea; Shah, Nigam (2013)

Noah: a dynamic ridesharing system. - Tian, Charles; Huang, Yan; Liu, Zhi; Bastani, Favyen; Jin, Ruoming (2013)

Frequent Subgraph Summarization with Error Control. - Liu, Zheng; Jin, Ruoming; Cheng, Hong; Yu, Jeffrey Xu (2013)

Large Scale Real-time Ridesharing with Service Guarantee on Road Networks - Huang, Yan; Jin, Ruoming; Bastani, Favyen; Wang, Xiaoyang Sean (CoRR, 2013)

Simple, Fast, and Scalable Reachability Oracle - Jin, Ruoming; Wang, Guan (CoRR, 2013)

Hub-Accelerator: Fast and Exact Shortest Path Computation in Large Social Networks - Jin, Ruoming; Ruan, Ning; You, Bo; Wang, Haixun (CoRR, 2013)

Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention - Jin, Ruoming; Shen, Yelong; Liu, Lin; Chen, Xue-wen (CoRR, 2013)

Merging network patterns: a general framework to summarize biomedical network data. - Xiang, Yang; Fuhry, David; Kaya, Kamer; Jin, Ruoming; Çatalyürek, Ümit V.; Huang, Kun (Netw. Model. Anal. Health Informatics Bioinform., 2012)

Reliable Clustering on Uncertain Graphs. - Liu, Lin; Jin, Ruoming; Aggarwal, Charu C.; Shen, Yelong (2012)

Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network. - Shen, Yelong; Jin, Ruoming; Dou, Dejing; Chowdhury, Nafisa Afrin; Sun, Junfeng; Piniewski, Brigitte; Kil, David (2012)

Learning personal + social latent factor model for social recommendation. - Shen, Yelong; Jin, Ruoming (2012)

Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery. - Xiang, Yang; Fuhry, David; Jin, Ruoming; Zhao, Ye; Huang, Kun (2012)

SCARAB: scaling reachability computation on large graphs. - Jin, Ruoming; Ruan, Ning; Dey, Saikat; Yu, Jeffrey Xu (2012)

A highway-centric labeling approach for answering distance queries on large sparse graphs. - Jin, Ruoming; Ruan, Ning; Xiang, Yang; Lee, Victor E. (2012)

Optimizing index for taxonomy keyword search. - Ding, Bolin; Wang, Haixun; Jin, Ruoming; Han, Jiawei; Wang, Zhongyuan (2012)

Relational Approach for Shortest Path Discovery over Large Graphs - Gao, Jun; Jin, Ruoming; Zhou, Jiashuai; Yu, Jeffrey Xu; Jiang, Xiao; Wang, Tengjiao (CoRR, 2012)

Network Backbone Discovery Using Edge Clustering - Ruan, Ning; Jin, Ruoming; Wang, Crown Guan; Huang, Kun (CoRR, 2012)

Summarizing transactional databases with overlapped hyperrectangles. - Xiang, Yang; Jin, Ruoming; Fuhry, David; Dragan, Feodor F. (Data Min. Knowl. Discov., 2011)

Topic level expertise search over heterogeneous networks. - Tang, Jie; Zhang, Jing; Jin, Ruoming; Yang, Zi; Cai, Keke; Zhang, Li; Su, Zhong (Mach. Learn., 2011)

Distance-Constraint Reachability Computation in Uncertain Graphs. - Jin, Ruoming; Liu, Lin; Ding, Bolin; Wang, Haixun (Proc. VLDB Endow., 2011)

Relational Approach for Shortest Path Discovery over Large Graphs. - Gao, Jun; Jin, Ruoming; Zhou, Jiashuai; Yu, Jeffrey Xu; Jiang, Xiao; Wang, Tengjiao (Proc. VLDB Endow., 2011)

Path-tree: An efficient reachability indexing scheme for large directed graphs. - Jin, Ruoming; Ruan, Ning; Xiang, Yang; Wang, Haixun (ACM Trans. Database Syst., 2011)

Multi-view random walk framework for search task discovery from click-through log. - Cui, Jianwei; Liu, Hongyan; Yan, Jun; Ji, Lei; Jin, Ruoming; He, Jun; Gu, Yingqin; Chen, Zheng; Du, Xiaoyong (2011)

A Hypergraph-based Method for Discovering Semantically Associated Itemsets. - Liu, Haishan; LePendu, Paea; Jin, Ruoming; Dou, Dejing (2011)

Distance Preserving Graph Simplification. - Ruan, Ning; Jin, Ruoming; Huang, Yan (2011)

Axiomatic ranking of network role similarity. - Jin, Ruoming; Lee, Victor E.; Hong, Hui (2011)

Discovering highly reliable subgraphs in uncertain graphs. - Jin, Ruoming; Liu, Lin; Aggarwal, Charu C. (2011)

Neighborhood-privacy protected shortest distance computing in cloud. - Gao, Jun; Yu, Jeffrey Xu; Jin, Ruoming; Zhou, Jiashuai; Wang, Tengjiao; Yang, Dongqing (2011)

Axiomatic Ranking of Network Role Similarity - Jin, Ruoming; Lee, Victor E.; Hong, Hui (CoRR, 2011)

Distance Preserving Graph Simplification - Ruan, Ning; Jin, Ruoming; Huang, Yan (CoRR, 2011)

Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia. - Zhang, Jie; Xiang, Yang; Ding, Liya; Keen-Circle, Kristin; Borlawsky, Tara; Ozer, Hatice Gulcin; Jin, Ruoming; Payne, Philip R. O.; Huang, Kun (BMC Bioinform., 2010)

On Dense Pattern Mining in Graph Streams. - Aggarwal, Charu C.; Li, Yao; Yu, Philip S.; Jin, Ruoming (Proc. VLDB Endow., 2010)

Communication motifs: a tool to characterize social communications. - Zhao, Qiankun; Tian, Yuan; He, Qi; Oliver, Nuria; Jin, Ruoming; Lee, Wang-Chien (2010)

Computing label-constraint reachability in graph databases. - Jin, Ruoming; Hong, Hui; Wang, Haixun; Ruan, Ning; Xiang, Yang (2010)

A Survey of Algorithms for Dense Subgraph Discovery. - Lee, Victor E.; Ruan, Ning; Jin, Ruoming; Aggarwal, Charu C. (2010)

Data discretization unification. - Jin, Ruoming; Breitbart, Yuri; Muoh, Chibuike (Knowl. Inf. Syst., 2009)

Estimating the number of frequent itemsets in a large database. - Jin, Ruoming; McCallen, Scott; Breitbart, Yuri; Fuhry, David; Wang, Dong (2009)

Efficient skyline computation in metric space. - Fuhry, David; Jin, Ruoming; Zhang, Donghui (2009)

A Tree-Based Framework for Difference Summarization. - Jin, Ruoming; Breitbart, Yuri; Li, Rong (2009)

A Sparsification Approach for Temporal Graphical Model Decomposition. - Ruan, Ning; Jin, Ruoming; Lee, Victor E.; Huang, Kun (2009)

Multiple Information Sources Cooperative Learning. - Zhu, Xingquan; Jin, Ruoming (2009)

Using Frequent Co-expression Network to Identify Gene Clusters for Breast Cancer Prognosis. - Zhang, Jie; Huang, Kun; Xiang, Yang; Jin, Ruoming (2009)

Cartesian contour: a concise representation for a collection of frequent sets. - Jin, Ruoming; Xiang, Yang; Liu, Lin (2009)

Migration motif: a spatial - temporal pattern mining approach for financial markets. - Du, Xiaoxi; Jin, Ruoming; Ding, Liang; Lee, Victor E.; Thornton, John H., Jr. (2009)

Identifying Dynamic Network Modules with Temporal and Spatial Constraints. - Jin, Ruoming; McCallen, Scott; Liu, Chun-Chi; Xiang, Yang; Almaas, Eivind; Zhou, Xianghong Jasmine (2009)

3-HOP: a high-compression indexing scheme for reachability query. - Jin, Ruoming; Xiang, Yang; Ruan, Ning; Fuhry, David (2009)

Middleware for data mining applications on clusters and grids. - Glimcher, Leonid; Jin, Ruoming; Agrawal, Gagan (J. Parallel Distributed Comput., 2008)

MMIS07, 08: mining multiple information sources workshop report. - Zhu, Xingquan; Jin, Ruoming; Breitbart, Yuri; Agrawal, Gagan (SIGKDD Explor., 2008)

Cost-based query optimization for complex pattern mining on multiple databases. - Jin, Ruoming; Fuhry, David; Alali, Abdulkareem (2008)

Overlapping Matrix Pattern Visualization: A Hypergraph Approach. - Jin, Ruoming; Xiang, Yang; Fuhry, David; Dragan, Feodor F. (2008)

A Topic Modeling Approach and Its Integration into the Random Walk Framework for Academic Search. - Tang, Jie; Jin, Ruoming; Zhang, Jing (2008)

Effective and efficient itemset pattern summarization: regression-based approaches. - Jin, Ruoming; Abu-Ata, Muad; Xiang, Yang; Ruan, Ning (2008)

Succinct summarization of transactional databases: an overlapped hyperrectangle scheme. - Xiang, Yang; Jin, Ruoming; Fuhry, David; Dragan, Feodor F. (2008)

Efficiently answering reachability queries on very large directed graphs. - Jin, Ruoming; Xiang, Yang; Ruan, Ning; Wang, Haixun (2008)

Query Planning for Searching Inter-dependent Deep-Web Databases. - Wang, Fan; Agrawal, Gagan; Jin, Ruoming (2008)

SNPMiner: A Domain-Specific Deep Web Mining Tool. - Wang, Fan; Agrawal, Gagan; Jin, Ruoming; Piontkivska, Helen (2007)

Graph and Topological Structure Mining on Scientific Articles. - Wang, Fan; Jin, Ruoming; Agrawal, Gagan; Piontkivska, Helen (2007)

Data Discretization Unification. - Jin, Ruoming; Breitbart, Yuri; Muoh, Chibuike (2007)

Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks. - Jin, Ruoming; McCallen, Scott; Almaas, Eivind (2007)

Frequent Pattern Mining in Data Streams. - Jin, Ruoming; Agrawal, Gagan (2007)

Fast and exact out-of-core and distributed k-means clustering. - Jin, Ruoming; Goswami, Anjan; Agrawal, Gagan (Knowl. Inf. Syst., 2006)

Exploratory Tools for FollowUp Studies to Microarray Experiments. - Sinha, Kaushik; Jin, Ruoming; Agrawal, Gagan; Piontkivska, Helen (2006)

Assigning Schema Labels Using Ontology And Hueristics. - Zhang, Xuan; Jin, Ruoming; Agrawal, Gagan (2006)

A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries. - Wang, Chao; Parthasarathy, Srinivasan; Jin, Ruoming (2006)

Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases. - Jin, Ruoming; Agrawal, Gagan (2006)

New Sampling-Based Estimators for OLAP Queries. - Jin, Ruoming; Glimcher, Leonid; Jermaine, Chris; Agrawal, Gagan (2006)

FREERIDE-G: Supporting Applications that Mine Remote. - Glimcher, Leonid; Jin, Ruoming; Agrawal, Gagan (2006)

A methodology for detailed performance modeling of reduction computations on SMP machines. - Jin, Ruoming; Agrawal, Gagan (Perform. Evaluation, 2005)

Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. - Jin, Ruoming; Yang, Ge; Agrawal, Gagan (IEEE Trans. Knowl. Data Eng., 2005)

Communication and Memory Optimal Parallel Data Cube Construction. - Jin, Ruoming; Vaidyanathan, Karthikeyan; Yang, Ge; Agrawal, Gagan (IEEE Trans. Parallel Distributed Syst., 2005)

Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. - Sinha, Kaushik; Zhang, Xuan; Jin, Ruoming; Agrawal, Gagan (2005)

Learning Layouts of Biological Datasets Semi-automatically. - Sinha, Kaushik; Zhang, Xuan; Jin, Ruoming; Agrawal, Gagan (2005)

An Algorithm for In-Core Frequent Itemset Mining on Streaming Data. - Jin, Ruoming; Agrawal, Gagan (2005)

Parallelizing a Defect Detection and Categorization Application. - Glimcher, Leonid; Agrawal, Gagan; Mehta, Sameep; Jin, Ruoming; Machiraju, Raghu (2005)

A framework to support multiple query optimization for complex mining tasks. - Jin, Ruoming; Sinha, Kaushik; Agrawal, Gagan (2005)

Simultaneous optimization of complex mining tasks with a knowledgeable cache. - Jin, Ruoming; Sinha, Kaushik; Agrawal, Gagan (2005)

Discovering frequent topological structures from graph datasets. - Jin, Ruoming; Wang, Chao; Polshakov, Dmitrii; Parthasarathy, Srinivasan; Agrawal, Gagan (2005)

Fast and Exact Out-of-Core K-Means Clustering. - Goswami, Anjan; Jin, Ruoming; Agrawal, Gagan (2004)

Using Tiling to Scale Parallel Data Cube Construction. - Jin, Ruoming; Vaidyanathan, Karthik; Yang, Ge; Agrawal, Gagan (2004)

Implementing data cube construction using a cluster middleware: algorithms, implementation experience, and performance evaluation. - Yang, Ge; Jin, Ruoming; Agrawal, Gagan (Future Gener. Comput. Syst., 2003)

Parallel Data Cube Construction: Algorithms, Theoretical Analysis, and Experimental Evaluation. - Jin, Ruoming; Yang, Ge; Agrawal, Gagan (2003)

Communication and Memory Optimal Parallel Data Cube Construction. - Jin, Ruoming; Yang, Ge; Vaidyanathan, Karthik; Agrawal, Gagan (2003)

A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms. - Li, Xiaogang; Jin, Ruoming; Agrawal, Gagan (2003)

Impact of Data Distribution, Level of Parallelism, and Communication Frequency on Parallel Data Cube Construction. - Yang, Ge; Jin, Ruoming; Agrawal, Gagan (2003)

Efficient decision tree construction on streaming data. - Jin, Ruoming; Agrawal, Gagan (2003)

Communication and Memory Efficient Parallel Decision Tree Construction. - Jin, Ruoming; Agrawal, Gagan (2003)

Implementing Data Cube Construction using a Cluster Middleware: Algorithms, Implementation Experience, and Performance Evaluation. - Yang, Ge; Jin, Ruoming; Agrawal, Gagan (2002)

Runtime support for parallelizing data mining algorithms. - Jin, Ruoming; Agrawal, Gagan (2002)

Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware. - Jin, Ruoming; Agrawal, Gagan (2002)

Design and Evaluation of a High-Level Interface for Data Mining. - Jin, Ruoming; Agrawal, Gagan (2002)

Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms. - Li, Xiaogang; Jin, Ruoming; Agrawal, Gagan (2002)

Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. - Jin, Ruoming; Agrawal, Gagan (2002)

Performance prediction for random write reductions: a case study in modeling shared memory programs. - Jin, Ruoming; Agrawal, Gagan (2002)

An efficient association mining implementation on clusters of SMP. - Jin, Ruoming; Agrawal, Gagan (2001)

Compiler and Middleware Support for Scalable Data Mining. - Agrawal, Gagan; Jin, Ruoming; Li, Xiaogang (2001)

A Middleware for Developing Parallel Data Mining Applications. - Jin, Ruoming; Agrawal, Gagan (2001)

Compiling Data Intensive Applications with Spatial Coordinates. - Ferreira, Renato; Agrawal, Gagan; Jin, Ruoming; Saltz, Joel H. (2000)

High Level Programming Methodologies for Data Intensive Computations. - Agrawal, Gagan; Ferreira, Renato; Jin, Ruoming; Saltz, Joel H. (2000)