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2020 – today
- 2024
[j34]Xiaopeng Jiang
, Han Hu, Thinh On, Phung Lai, 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. IEEE Trans. Mob. Comput. 23(1): 501-519 (2024)- [j33]Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu:
On Item-Sampling Evaluation for Recommender System. Trans. Recomm. Syst. 2(1): 7:1-7:36 (2024) - [c111]Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou:
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. EMNLP 2024: 10497-10523 - [c110]Jie Zhu, Mengsha Hu, Amy Zhang, Ruoming Jin, Rui Liu:
Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance. RO-MAN 2024: 549-554 - [c109]Xinyu Jiang, Yibei Guo, Mengsha Hu, Ruoming Jin, Hai Phan, Jay Alberts, Rui Liu:
Federated Joint Learning of Robot Networks in Stroke Rehabilitation. RO-MAN 2024: 1294-1300 - [c108]Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez:
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. SDM 2024: 833-841 - [i29]Xinyu Jiang, Yibei Guo, Mengsha Hu, Ruoming Jin, Hai Phan, Jay Alberts, Rui Liu:
Federated Joint Learning of Robot Networks in Stroke Rehabilitation. CoRR abs/2403.05472 (2024) - [i28]Khiem Ton, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen:
Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. CoRR abs/2409.07368 (2024) - [i27]Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou:
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. CoRR abs/2410.00131 (2024) - 2023
- [j32]Minjia Zhang, Jie Ren, Zhen Peng, Ruoming Jin, Dong Li, Bin Ren:
iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures. IEEE Data Eng. Bull. 46(3): 22-38 (2023) - [j31]Srikanth Tadisetty, Ranjith Chodavarapu, Ruoming Jin, Robert J. Clements, Minzhong Yu:
Identifying the Edges of the Optic Cup and the Optic Disc in Glaucoma Patients by Segmentation. Sensors 23(10): 4668 (2023) - [c107]Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu:
Towards Reliable Item Sampling for Recommendation Evaluation. AAAI 2023: 4409-4416 - [c106]Xiang Li, Gagan Agrawal, Ruoming Jin, Rajiv Ramnath:
Scalable Deep Metric Learning on Attributed Graphs. CSoNet 2023: 385-397 - [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 - [i26]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) - [i25]Jie Zhu, Mengsha Hu, Xueyao Liang, Amy Zhang, Ruoming Jin, Rui Liu:
Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance. CoRR abs/2306.04167 (2023) - [i24]Ruoming Jin, Dong Li:
(Debiased) Contrastive Learning Loss for Recommendation (Technical Report). CoRR abs/2312.08517 (2023) - [i23]Dong Li, Ruoming Jin, Bin Ren:
Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report). CoRR abs/2312.08520 (2023) - [i22]Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez:
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. CoRR abs/2312.10935 (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]Ruoming Jin, Yang Xiang, David Fuhry, Feodor F. Dragan:
Overlapping Matrix Pattern Visualization: A Hypergraph Approach. ICDM 2008: 313-322 - [c42]Jie Tang, Ruoming Jin, Jing Zhang:
A Topic Modeling Approach and Its Integration into the Random Walk Framework for Academic Search. ICDM 2008: 1055-1060 - [c41]Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan:
Effective and efficient itemset pattern summarization: regression-based approaches. KDD 2008: 399-407 - [c40]Yang Xiang, Ruoming Jin, David Fuhry, Feodor F. Dragan:
Succinct summarization of transactional databases: an overlapped hyperrectangle scheme. KDD 2008: 758-766 - [c39]Ruoming Jin, Yang Xiang, Ning Ruan, Haixun Wang:
Efficiently answering reachability queries on very large directed graphs. SIGMOD Conference 2008: 595-608 - [c38]Fan Wang, Gagan Agrawal, Ruoming Jin:
Query Planning for Searching Inter-dependent Deep-Web Databases. SSDBM 2008: 24-41 - 2007
- [c37]Fan Wang, Gagan Agrawal, Ruoming Jin, Helen Piontkivska:
SNPMiner: A Domain-Specific Deep Web Mining Tool. BIBE 2007: 192-199 - [c36]Fan Wang, Ruoming Jin, Gagan Agrawal, Helen Piontkivska:
Graph and Topological Structure Mining on Scientific Articles. BIBE 2007: 1318-1322 - [c35]Ruoming Jin, Yuri Breitbart, Chibuike Muoh:
Data Discretization Unification. ICDM 2007: 183-192 - [c34]Ruoming Jin, Scott McCallen, Eivind Almaas:
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks. ICDM 2007: 541-546 - [p1]Ruoming Jin, Gagan Agrawal:
Frequent Pattern Mining in Data Streams. Data Streams - Models and Algorithms 2007: 61-84 - 2006
- [j5]Ruoming Jin, Anjan Goswami, Gagan Agrawal:
Fast and exact out-of-core and distributed k-means clustering. Knowl. Inf. Syst. 10(1): 17-40 (2006) - [c33]Kaushik Sinha, Ruoming Jin, Gagan Agrawal, Helen Piontkivska:
Exploratory Tools for FollowUp Studies to Microarray Experiments. BIBE 2006: 81-85 - [c32]Xuan Zhang, Ruoming Jin, Gagan Agrawal:
Assigning Schema Labels Using Ontology And Hueristics. BIBE 2006: 269-280 - [c31]Chao Wang, Srinivasan Parthasarathy, Ruoming Jin:
A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries. EDBT 2006: 533-551 - [c30]Ruoming Jin, Gagan Agrawal:
Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases. ICDE 2006: 17 - [c29]Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gagan Agrawal:
New Sampling-Based Estimators for OLAP Queries. ICDE 2006: 18 - [c28]Leonid Glimcher, Ruoming Jin, Gagan Agrawal:
FREERIDE-G: Supporting Applications that Mine Remote. ICPP 2006: 109-118 - 2005
- [j4]Ruoming Jin, Gagan Agrawal:
A methodology for detailed performance modeling of reduction computations on SMP machines. Perform. Evaluation 60(1-4): 73-105 (2005) - [j3]Ruoming Jin, Ge Yang, Gagan Agrawal:
Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. IEEE Trans. Knowl. Data Eng. 17(1): 71-89 (2005) - [j2]Ruoming Jin, Karthikeyan Vaidyanathan, Ge Yang, Gagan Agrawal:
Communication and Memory Optimal Parallel Data Cube Construction. IEEE Trans. Parallel Distributed Syst. 16(12): 1105-1119 (2005) - [c27]Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal:
Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. BIBE 2005: 177-184 - [c26]Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal:
Learning Layouts of Biological Datasets Semi-automatically. DILS 2005: 31-45 - [c25]Ruoming Jin, Gagan Agrawal:
An Algorithm for In-Core Frequent Itemset Mining on Streaming Data. ICDM 2005: 210-217 - [c24]Leonid Glimcher, Gagan Agrawal, Sameep Mehta, Ruoming Jin, Raghu Machiraju:
Parallelizing a Defect Detection and Categorization Application. IPDPS 2005 - [c23]Ruoming Jin, Kaushik Sinha, Gagan Agrawal:
A framework to support multiple query optimization for complex mining tasks. MDM@KDD 2005: 23-32 - [c22]Ruoming Jin, Kaushik Sinha, Gagan Agrawal:
Simultaneous optimization of complex mining tasks with a knowledgeable cache. KDD 2005: 600-605 - [c21]Ruoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal:
Discovering frequent topological structures from graph datasets. KDD 2005: 606-611 - 2004
- [c20]Anjan Goswami, Ruoming Jin, Gagan Agrawal:
Fast and Exact Out-of-Core K-Means Clustering. ICDM 2004: 83-90 - [c19]Ruoming Jin, Karthik Vaidyanathan, Ge Yang, Gagan Agrawal:
Using Tiling to Scale Parallel Data Cube Construction. ICPP 2004: 365-372 - 2003
- [j1]Ge Yang, Ruoming Jin, Gagan Agrawal:
Implementing data cube construction using a cluster middleware: algorithms, implementation experience, and performance evaluation. Future Gener. Comput. Syst. 19(4): 533-550 (2003) - [c18]Ruoming Jin, Ge Yang, Gagan Agrawal:
Parallel Data Cube Construction: Algorithms, Theoretical Analysis, and Experimental Evaluation. HiPC 2003: 74-84 - [c17]Ruoming Jin, Ge Yang, Karthik Vaidyanathan, Gagan Agrawal:
Communication and Memory Optimal Parallel Data Cube Construction. ICPP 2003: 573-580 - [c16]Xiaogang Li, Ruoming Jin, Gagan Agrawal:
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms. IPDPS 2003: 7 - [c15]Ge Yang, Ruoming Jin, Gagan Agrawal:
Impact of Data Distribution, Level of Parallelism, and Communication Frequency on Parallel Data Cube Construction. IPDPS 2003: 66 - [c14]Ruoming Jin, Gagan Agrawal:
Efficient decision tree construction on streaming data. KDD 2003: 571-576 - [c13]Ruoming Jin, Gagan Agrawal:
Communication and Memory Efficient Parallel Decision Tree Construction. SDM 2003: 119-129 - 2002
- [c12]Ge Yang, Ruoming Jin, Gagan Agrawal:
Implementing Data Cube Construction using a Cluster Middleware: Algorithms, Implementation Experience, and Performance Evaluation. CCGRID 2002: 84-92 - [c11]Ruoming Jin, Gagan Agrawal:
Runtime support for parallelizing data mining algorithms. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2002: 212-223 - [c10]Ruoming Jin, Gagan Agrawal:
Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware. Euro-Par 2002: 346-354 - [c9]Ruoming Jin, Gagan Agrawal:
Design and Evaluation of a High-Level Interface for Data Mining. IPDPS 2002 - [c8]Xiaogang Li, Ruoming Jin, Gagan Agrawal:
Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms. LCPC 2002: 265-279 - [c7]Ruoming Jin, Gagan Agrawal:
Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. SDM 2002: 77-94 - [c6]Ruoming Jin, Gagan Agrawal:
Performance prediction for random write reductions: a case study in modeling shared memory programs. SIGMETRICS 2002: 117-128 - 2001
- [c5]Ruoming Jin, Gagan Agrawal:
An efficient association mining implementation on clusters of SMP. IPDPS 2001: 156 - [c4]Gagan Agrawal, Ruoming Jin, Xiaogang Li:
Compiler and Middleware Support for Scalable Data Mining. LCPC 2001: 33-51 - [c3]Ruoming Jin, Gagan Agrawal:
A Middleware for Developing Parallel Data Mining Applications. SDM 2001: 1-18 - 2000
- [c2]Renato Ferreira, Gagan Agrawal, Ruoming Jin, Joel H. Saltz:
Compiling Data Intensive Applications with Spatial Coordinates. LCPC 2000: 339-354 - [c1]Gagan Agrawal, Renato Ferreira, Ruoming Jin, Joel H. Saltz:
High Level Programming Methodologies for Data Intensive Computations. LCR 2000: 32-43
Coauthor Index
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