


Остановите войну!
for scientists:


default search action
Ruoming Jin
Person information

Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
- [c105]Xiaopeng Jiang, Thinh On, NhatHai Phan, Hessamaldin Mohammadi, Vijaya Datta Mayyuri, An M. Chen, Ruoming Jin, Cristian Borcea:
Zone-based Federated Learning for Mobile Sensing Data. PERCOM 2023: 141-148 - [c104]Zhen Peng, Minjia Zhang, Kai Li, Ruoming Jin, Bin Ren:
iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures. PPoPP 2023: 313-328 - [i22]Xiaopeng Jiang, Thinh On, NhatHai Phan, Hessamaldin Mohammadi, Vijaya Datta Mayyuri, An M. Chen, Ruoming Jin, Cristian Borcea:
Zone-based Federated Learning for Mobile Sensing Data. CoRR abs/2303.06246 (2023) - 2022
- [j30]Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou:
Unsupervised Adversarial Network Alignment with Reinforcement Learning. ACM Trans. Knowl. Discov. Data 16(3): 50:1-50:29 (2022) - [c103]Xiang Li, Dong Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal:
Deep Graph Clustering with Random-walk based Scalable Learning. ASONAM 2022: 88-95 - [c102]Phung Lai, Han Hu, Hai Phan, Ruoming Jin, My T. Thai, An M. Chen:
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. CoLLAs 2022: 778-797 - [c101]Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou:
Federated Fingerprint Learning with Heterogeneous Architectures. ICDM 2022: 31-40 - [i21]Zhen Peng, Minjia Zhang, Kai Li, Ruoming Jin, Bin Ren:
Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism. CoRR abs/2201.13007 (2022) - [i20]Phung Lai, Han Hu, NhatHai Phan, Ruoming Jin, My T. Thai, An M. Chen:
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. CoRR abs/2207.12831 (2022) - [i19]Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu:
Towards Reliable Item Sampling for Recommendation Evaluation. CoRR abs/2211.15743 (2022) - [i18]Dong Li, Yelong Shen, Ruoming Jin, Yi Mao, Kuan Wang, Weizhu Chen:
Generation-Augmented Query Expansion For Code Retrieval. CoRR abs/2212.10692 (2022) - 2021
- [c100]Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu:
On Estimating Recommendation Evaluation Metrics under Sampling. AAAI 2021: 4147-4154 - [c99]Xiang Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal:
A Framework for Accelerating Graph Convolutional Networks on Massive Datasets. CSoNet 2021: 79-92 - [c98]Qihan Wang, Wei Niu, Li Chen, Ruoming Jin, Bin Ren:
HEALS: A Parallel eALS Recommendation System on CPU/GPU Heterogeneous Platforms. HiPC 2021: 252-261 - [c97]Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou:
Integrated Defense for Resilient Graph Matching. ICML 2021: 8982-8997 - [c96]Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan:
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. ICML 2021: 12719-12735 - [c95]Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou:
Towards a Better Understanding of Linear Models for Recommendation. KDD 2021: 776-785 - [c94]Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou:
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. NeurIPS 2021: 30196-30210 - [c93]Yang Zhou, Zeru Zhang, Sixing Wu, Victor S. Sheng, Xiaoying Han, Zijie Zhang, Ruoming Jin:
Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination. WWW 2021: 3884-3895 - [e2]David Mohaisen
, Ruoming Jin:
Computational Data and Social Networks - 10th International Conference, CSoNet 2021, Virtual Event, November 15-17, 2021, Proceedings. Lecture Notes in Computer Science 13116, Springer 2021, ISBN 978-3-030-91433-2 [contents] - [e1]M. Arif Wani, Ishwar K. Sethi, Weisong Shi, Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin:
20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021. IEEE 2021, ISBN 978-1-6654-4337-1 [contents] - [i17]Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu:
On Estimating Recommendation Evaluation Metrics under Sampling. CoRR abs/2103.01474 (2021) - [i16]Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou:
Towards a Better Understanding of Linear Models for Recommendation. CoRR abs/2105.12937 (2021) - [i15]Dong Li, Ruoming Jin, Jing Gao, Zhi Liu:
On Sampling Top-K Recommendation Evaluation. CoRR abs/2106.10621 (2021) - [i14]Han Hu, Xiaopeng Jiang, Vijaya Datta Mayyuri, An M. Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan:
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps. CoRR abs/2111.09445 (2021) - [i13]Xiang Li, Dong Li, Ruoming Jin, Gagan Agrawal, Rajiv Ramnath:
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning. CoRR abs/2112.15530 (2021) - 2020
- [c92]Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan:
Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference. IEEE BigData 2020: 868-877 - [c91]Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee:
Robust Meta Network Embedding against Adversarial Attacks. ICDM 2020: 1448-1453 - [c90]NhatHai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou:
Scalable Differential Privacy with Certified Robustness in Adversarial Learning. ICML 2020: 7683-7694 - [c89]Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren:
Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms. ICS 2020: 11:1-11:13 - [c88]Dong Li, Ruoming Jin, Jing Gao, Zhi Liu:
On Sampling Top-K Recommendation Evaluation. KDD 2020: 2114-2124 - [c87]Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou:
Adversarial Attacks on Deep Graph Matching. NeurIPS 2020
2010 – 2019
- 2019
- [j29]Xuan Shi, Bowei Xue, Ming-Hsiang Tsou
, Xinyue Ye, Brian H. Spitzberg
, Jean Mark Gawron, Heather Corliss
, Jay Lee, Ruoming Jin:
Detecting events from the social media through exemplar-enhanced supervised learning. Int. J. Digit. Earth 12(9): 1083-1097 (2019) - [j28]Feng Zhang
, Victor E. Lee, Ruoming Jin, Saurabh Garg
, Kim-Kwang Raymond Choo
, Michele Maasberg, Lijun Dong
, Chi Cheng:
Privacy-aware smart city: A case study in collaborative filtering recommender systems. J. Parallel Distributed Comput. 127: 145-159 (2019) - [c86]Yang Zhou, Chao Jiang
, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang:
Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification. IEEE BigData 2019: 1018-1027 - [c85]Yang Zhou, Jiaxiang Ren, Sixing Wu, Dejing Dou, Ruoming Jin, Zijie Zhang, Pengwei Wang:
Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets. IEEE BigData 2019: 1267-1273 - [c84]Ruoming Jin, Yelong Sheng, Lin Liu, Xue-wen Chen, NhatHai Phan:
Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention. CSoNet 2019: 229-245 - [c83]Han Hu, NhatHai Phan, Xinyue Ye, Ruoming Jin, Kele Ding, Dejing Dou, Huy T. Vo:
DrugTracker: A Community-focused Drug Abuse Monitoring and Supporting System using Social Media and Geospatial Data (Demo Paper). SIGSPATIAL/GIS 2019: 564-567 - [c82]Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang:
Dual Adversarial Learning Based Network Alignment. ICDM 2019: 1288-1293 - [c81]NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu
, My T. Thai:
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. IJCAI 2019: 4753-4759 - [i12]NhatHai Phan, Ruoming Jin, My T. Thai, Han Hu, Dejing Dou:
Preserving Differential Privacy in Adversarial Learning with Provable Robustness. CoRR abs/1903.09822 (2019) - [i11]NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai:
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. CoRR abs/1906.01444 (2019) - [i10]Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren:
Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage! CoRR abs/1906.12018 (2019) - 2018
- [j27]Hao Wei, Jeffrey Xu Yu, Can Lu, Ruoming Jin:
Reachability querying: an independent permutation labeling approach. VLDB J. 27(1): 1-26 (2018) - [c80]Yang Zhou, Amnay Amimeur, Chao Jiang
, Dejing Dou, Ruoming Jin, Pengwei Wang:
Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering. IEEE BigData 2018: 1162-1167 - [c79]Yang Zhou, Sixing Wu, Chao Jiang
, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang:
Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification. ICDM 2018: 1464-1469 - [c78]Yixin Fang, Ruoming Jin, Wei Xiong, Xiaoning Qian, Dejing Dou, Hai Phan:
Recursive Structure Similarity: A Novel Algorithm for Graph Clustering. ICTAI 2018: 395-400 - [r1]Lin Liu, Victor E. Lee, Ruoming Jin:
Uncertain Graph Data Management. Encyclopedia of Database Systems (2nd ed.) 2018 - 2016
- [j26]Yelong Shen, NhatHai Phan, Xiao Xiao, Ruoming Jin, Junfeng Sun, Brigitte Piniewski, David Kil, Dejing Dou:
Dynamic socialized Gaussian process models for human behavior prediction in a health social network. Knowl. Inf. Syst. 49(2): 455-479 (2016) - [j25]Yubao Wu
, Xiaofeng Zhu, Li Li, Wei Fan, Ruoming Jin, Xiang Zhang:
Mining Dual Networks: Models, Algorithms, and Applications. ACM Trans. Knowl. Discov. Data 10(4): 40:1-40:37 (2016) - [j24]Yubao Wu
, Ruoming Jin, Xiang Zhang:
Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large Graphs. IEEE Trans. Knowl. Data Eng. 28(5): 1160-1174 (2016) - [c77]Adam Anthony, Yu-Keng Shih, Ruoming Jin, Yang Xiang:
Leveraging a Graph-Powered, Real-Time Recommendation Engine to Create Rapid Business Value. RecSys 2016: 385-386 - 2015
- [j23]Yubao Wu
, Ruoming Jin, Jing Li
, Xiang Zhang:
Robust Local Community Detection: On Free Rider Effect and Its Elimination. Proc. VLDB Endow. 8(7): 798-809 (2015) - [c76]Yubao Wu
, Ruoming Jin, Xiaofeng Zhu, Xiang Zhang:
Finding dense and connected subgraphs in dual networks. ICDE 2015: 915-926 - [c75]Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng:
A Deep Embedding Model for Co-occurrence Learning. ICDM Workshops 2015: 631-638 - [i9]Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng:
A Deep Embedding Model for Co-occurrence Learning. CoRR abs/1504.02824 (2015) - 2014
- [j22]Sausan Yazji, Peter Scheuermann, Robert P. Dick, Goce Trajcevski, Ruoming Jin:
Efficient location aware intrusion detection to protect mobile devices. Pers. Ubiquitous Comput. 18(1): 143-162 (2014) - [j21]Hao Wei, Jeffrey Xu Yu, Can Lu, Ruoming Jin:
Reachability Querying: An Independent Permutation Labeling Approach. Proc. VLDB Endow. 7(12): 1191-1202 (2014) - [j20]Yan Huang, Favyen Bastani, Ruoming Jin, Xiaoyang Sean Wang:
Large Scale Real-time Ridesharing with Service Guarantee on Road Networks. Proc. VLDB Endow. 7(14): 2017-2028 (2014) - [j19]Ruoming Jin, Victor E. Lee, Longjie Li
:
Scalable and axiomatic ranking of network role similarity. ACM Trans. Knowl. Discov. Data 8(1): 3:1-3:37 (2014) - [c74]Feng Zhang, Victor E. Lee, Ruoming Jin:
k-CoRating: Filling Up Data to Obtain Privacy and Utility. AAAI 2014: 320-328 - [c73]Yubao Wu
, Ruoming Jin, Xiang Zhang:
Fast and unified local search for random walk based k-nearest-neighbor query in large graphs. SIGMOD Conference 2014: 1139-1150 - [p4]Victor E. Lee, Lin Liu, Ruoming Jin:
Decision Trees: Theory and Algorithms. Data Classification: Algorithms and Applications 2014: 87-120 - [p3]Victor E. Lee, Ruoming Jin, Gagan Agrawal:
Frequent Pattern Mining in Data Streams. Frequent Pattern Mining 2014: 199-224 - 2013
- [j18]Ruoming Jin, Guan Wang:
Simple, Fast, and Scalable Reachability Oracle. Proc. VLDB Endow. 6(14): 1978-1989 (2013) - [j17]Jun Gao, Jeffrey Xu Yu, Ruoming Jin, Jiashuai Zhou, Tengjiao Wang, Dongqing Yang:
Outsourcing shortest distance computing with privacy protection. VLDB J. 22(4): 543-559 (2013) - [c72]Haishan Liu, Dejing Dou, Ruoming Jin, Paea LePendu
, Nigam Shah:
Mining Biomedical Ontologies and Data Using RDF Hypergraphs. ICMLA (1) 2013: 141-146 - [c71]Charles Tian, Yan Huang, Zhi Liu, Favyen Bastani, Ruoming Jin:
Noah: a dynamic ridesharing system. SIGMOD Conference 2013: 985-988 - [c70]Zheng Liu, Ruoming Jin, Hong Cheng, Jeffrey Xu Yu:
Frequent Subgraph Summarization with Error Control. WAIM 2013: 1-12 - [i8]Yan Huang, Ruoming Jin, Favyen Bastani, Xiaoyang Sean Wang:
Large Scale Real-time Ridesharing with Service Guarantee on Road Networks. CoRR abs/1302.6666 (2013) - [i7]Ruoming Jin, Guan Wang:
Simple, Fast, and Scalable Reachability Oracle. CoRR abs/1305.0502 (2013) - [i6]Ruoming Jin, Ning Ruan, Bo You, Haixun Wang:
Hub-Accelerator: Fast and Exact Shortest Path Computation in Large Social Networks. CoRR abs/1305.0507 (2013) - [i5]Ruoming Jin, Yelong Shen, Lin Liu, Xue-wen Chen:
Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention. CoRR abs/1305.0513 (2013) - 2012
- [j16]Yang Xiang, David Fuhry, Kamer Kaya, Ruoming Jin, Ümit V. Çatalyürek, Kun Huang:
Merging network patterns: a general framework to summarize biomedical network data. Netw. Model. Anal. Health Informatics Bioinform. 1(3): 103-116 (2012) - [c69]Lin Liu, Ruoming Jin, Charu C. Aggarwal, Yelong Shen:
Reliable Clustering on Uncertain Graphs. ICDM 2012: 459-468 - [c68]Yelong Shen, Ruoming Jin, Dejing Dou, Nafisa Afrin Chowdhury, Junfeng Sun, Brigitte Piniewski, David Kil:
Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network. ICDM 2012: 1110-1115 - [c67]Yelong Shen, Ruoming Jin:
Learning personal + social latent factor model for social recommendation. KDD 2012: 1303-1311 - [c66]Yang Xiang, David Fuhry, Ruoming Jin, Ye Zhao, Kun Huang:
Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery. PAKDD (1) 2012: 505-516 - [c65]Ruoming Jin, Ning Ruan, Saikat Dey, Jeffrey Xu Yu:
SCARAB: scaling reachability computation on large graphs. SIGMOD Conference 2012: 169-180 - [c64]Ruoming Jin, Ning Ruan, Yang Xiang, Victor E. Lee:
A highway-centric labeling approach for answering distance queries on large sparse graphs. SIGMOD Conference 2012: 445-456 - [c63]Bolin Ding, Haixun Wang, Ruoming Jin, Jiawei Han, Zhongyuan Wang:
Optimizing index for taxonomy keyword search. SIGMOD Conference 2012: 493-504 - [i4]Jun Gao, Ruoming Jin, Jiashuai Zhou, Jeffrey Xu Yu, Xiao Jiang, Tengjiao Wang:
Relational Approach for Shortest Path Discovery over Large Graphs. CoRR abs/1201.0232 (2012) - [i3]Ning Ruan, Ruoming Jin, Crown Guan Wang, Kun Huang:
Network Backbone Discovery Using Edge Clustering. CoRR abs/1202.1842 (2012) - 2011
- [j15]Yang Xiang, Ruoming Jin, David Fuhry, Feodor F. Dragan:
Summarizing transactional databases with overlapped hyperrectangles. Data Min. Knowl. Discov. 23(2): 215-251 (2011) - [j14]Jie Tang, Jing Zhang, Ruoming Jin, Zi Yang, Keke Cai, Li Zhang, Zhong Su:
Topic level expertise search over heterogeneous networks. Mach. Learn. 82(2): 211-237 (2011) - [j13]Ruoming Jin, Lin Liu, Bolin Ding, Haixun Wang:
Distance-Constraint Reachability Computation in Uncertain Graphs. Proc. VLDB Endow. 4(9): 551-562 (2011) - [j12]Jun Gao, Ruoming Jin, Jiashuai Zhou, Jeffrey Xu Yu, Xiao Jiang, Tengjiao Wang:
Relational Approach for Shortest Path Discovery over Large Graphs. Proc. VLDB Endow. 5(4): 358-369 (2011) - [j11]Ruoming Jin, Ning Ruan, Yang Xiang, Haixun Wang:
Path-tree: An efficient reachability indexing scheme for large directed graphs. ACM Trans. Database Syst. 36(1): 7:1-7:44 (2011) - [c62]Jianwei Cui, Hongyan Liu, Jun Yan, Lei Ji, Ruoming Jin, Jun He, Yingqin Gu, Zheng Chen, Xiaoyong Du:
Multi-view random walk framework for search task discovery from click-through log. CIKM 2011: 135-140 - [c61]Haishan Liu, Paea LePendu
, Ruoming Jin, Dejing Dou:
A Hypergraph-based Method for Discovering Semantically Associated Itemsets. ICDM 2011: 398-406 - [c60]Ning Ruan, Ruoming Jin, Yan Huang:
Distance Preserving Graph Simplification. ICDM 2011: 1200-1205 - [c59]Ruoming Jin, Victor E. Lee, Hui Hong:
Axiomatic ranking of network role similarity. KDD 2011: 922-930 - [c58]Ruoming Jin, Lin Liu, Charu C. Aggarwal:
Discovering highly reliable subgraphs in uncertain graphs. KDD 2011: 992-1000 - [c57]Jun Gao, Jeffrey Xu Yu, Ruoming Jin, Jiashuai Zhou, Tengjiao Wang, Dongqing Yang:
Neighborhood-privacy protected shortest distance computing in cloud. SIGMOD Conference 2011: 409-420 - [i2]Ruoming Jin, Victor E. Lee, Hui Hong:
Axiomatic Ranking of Network Role Similarity. CoRR abs/1102.3937 (2011) - [i1]Ning Ruan, Ruoming Jin, Yan Huang:
Distance Preserving Graph Simplification. CoRR abs/1110.0517 (2011) - 2010
- [j10]Jie Zhang, Yang Xiang, Liya Ding, Kristin Keen-Circle, Tara Borlawsky, Hatice Gulcin Ozer, Ruoming Jin, Philip R. O. Payne
, Kun Huang:
Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia. BMC Bioinform. 11(S-9): S5 (2010) - [j9]Charu C. Aggarwal, Yao Li, Philip S. Yu, Ruoming Jin:
On Dense Pattern Mining in Graph Streams. Proc. VLDB Endow. 3(1): 975-984 (2010) - [c56]Qiankun Zhao, Yuan Tian, Qi He
, Nuria Oliver
, Ruoming Jin, Wang-Chien Lee:
Communication motifs: a tool to characterize social communications. CIKM 2010: 1645-1648 - [c55]Ruoming Jin, Hui Hong, Haixun Wang, Ning Ruan, Yang Xiang:
Computing label-constraint reachability in graph databases. SIGMOD Conference 2010: 123-134 - [p2]Victor E. Lee, Ning Ruan, Ruoming Jin, Charu C. Aggarwal:
A Survey of Algorithms for Dense Subgraph Discovery. Managing and Mining Graph Data 2010: 303-336
2000 – 2009
- 2009
- [j8]Ruoming Jin, Yuri Breitbart, Chibuike Muoh:
Data discretization unification. Knowl. Inf. Syst. 19(1): 1-29 (2009) - [c54]Ruoming Jin, Scott McCallen, Yuri Breitbart, David Fuhry, Dong Wang:
Estimating the number of frequent itemsets in a large database. EDBT 2009: 505-516 - [c53]David Fuhry, Ruoming Jin, Donghui Zhang:
Efficient skyline computation in metric space. EDBT 2009: 1042-1051 - [c52]Ruoming Jin, Yuri Breitbart, Rong Li:
A Tree-Based Framework for Difference Summarization. ICDM 2009: 209-218 - [c51]Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang:
A Sparsification Approach for Temporal Graphical Model Decomposition. ICDM 2009: 447-456 - [c50]Xingquan Zhu, Ruoming Jin:
Multiple Information Sources Cooperative Learning. IJCAI 2009: 1369-1376 - [c49]Jie Zhang, Kun Huang, Yang Xiang, Ruoming Jin:
Using Frequent Co-expression Network to Identify Gene Clusters for Breast Cancer Prognosis. IJCBS 2009: 428-434 - [c48]Ruoming Jin, Yang Xiang, Lin Liu:
Cartesian contour: a concise representation for a collection of frequent sets. KDD 2009: 417-426 - [c47]Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee, John H. Thornton Jr.:
Migration motif: a spatial - temporal pattern mining approach for financial markets. KDD 2009: 1135-1144 - [c46]Ruoming Jin, Scott McCallen, Chun-Chi Liu, Yang Xiang, Eivind Almaas, Xianghong Jasmine Zhou:
Identifying Dynamic Network Modules with Temporal and Spatial Constraints. Pacific Symposium on Biocomputing 2009: 203-214 - [c45]Ruoming Jin, Yang Xiang, Ning Ruan, David Fuhry:
3-HOP: a high-compression indexing scheme for reachability query. SIGMOD Conference 2009: 813-826 - 2008
- [j7]Leonid Glimcher, Ruoming Jin, Gagan Agrawal:
Middleware for data mining applications on clusters and grids. J. Parallel Distributed Comput. 68(1): 37-53 (2008) - [j6]Xingquan Zhu, Ruoming Jin, Yuri Breitbart, Gagan Agrawal:
MMIS07, 08: mining multiple information sources workshop report. SIGKDD Explor. 10(2): 61-65 (2008) - [c44]Ruoming Jin, David Fuhry, Abdulkareem Alali:
Cost-based query optimization for complex pattern mining on multiple databases. EDBT 2008: 380-391 - [c43]