Ruoming Jin

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 65

Top Venues

Publications

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) (2024)
Xinyu Jiang, Yibei Guo, Mengsha Hu, Ruoming Jin, Hai Phan, Jay Alberts, Rui Liu
Federated Joint Learning of Robot Networks in Stroke Rehabilitation. CoRR (2024)
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)
Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu
On Item-Sampling Evaluation for Recommender System. Trans. Recomm. Syst. 2 (1) (2024)
Ruoming Jin, Dong Li
(Debiased) Contrastive Learning Loss for Recommendation (Technical Report). CoRR (2023)
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 (2023)
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)
Dong Li, Ruoming Jin, Bin Ren
Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report). CoRR (2023)
Xiang Li, Gagan Agrawal, Ruoming Jin, Rajiv Ramnath
Scalable Deep Metric Learning on Attributed Graphs. CSoNet (2023)
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) (2023)
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 (2023)
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) (2023)
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)
Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. CoRR (2023)
Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu
Towards Reliable Item Sampling for Recommendation Evaluation. AAAI (2023)
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 (2022)
Dong Li, Yelong Shen, Ruoming Jin, Yi Mao, Kuan Wang, Weizhu Chen
Generation-Augmented Query Expansion For Code Retrieval. CoRR (2022)
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) (2022)
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)
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 (2022)
Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu
Towards Reliable Item Sampling for Recommendation Evaluation. CoRR (2022)
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)
Xiang Li, Dong Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal
Deep Graph Clustering with Random-walk based Scalable Learning. ASONAM (2022)
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)
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)
Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu
On Estimating Recommendation Evaluation Metrics under Sampling. CoRR (2021)
Xiang Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal
A Framework for Accelerating Graph Convolutional Networks on Massive Datasets. CSoNet (2021)
Xiang Li, Dong Li, Ruoming Jin, Gagan Agrawal, Rajiv Ramnath
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning. CoRR (2021)
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)
Qihan Wang, Wei Niu, Li Chen, Ruoming Jin, Bin Ren
HEALS: A Parallel eALS Recommendation System on CPU/GPU Heterogeneous Platforms. HiPC (2021)
Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou
Towards a Better Understanding of Linear Models for Recommendation. CoRR (2021)
Dong Li, Ruoming Jin, Jing Gao, Zhi Liu
On Sampling Top-K Recommendation Evaluation. CoRR (2021)
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)
Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu
On Estimating Recommendation Evaluation Metrics under Sampling. AAAI (2021)
Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou
Towards a Better Understanding of Linear Models for Recommendation. KDD (2021)
Han Hu, Xiaopeng Jiang, Vijaya Datta Mayyuri, An Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps. CoRR (2021)
Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee
Robust Meta Network Embedding against Adversarial Attacks. ICDM (2020)
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)
Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou
Adversarial Attacks on Deep Graph Matching. NeurIPS (2020)
Dong Li, Ruoming Jin, Jing Gao, Zhi Liu
On Sampling Top-K Recommendation Evaluation. KDD (2020)
Hai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou
Scalable Differential Privacy with Certified Robustness in Adversarial Learning. ICML (2020)
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)
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)
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 (2019)
Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang
Dual Adversarial Learning Based Network Alignment. ICDM (2019)
NhatHai Phan, Ruoming Jin, My T. Thai, Han Hu, Dejing Dou
Preserving Differential Privacy in Adversarial Learning with Provable Robustness. CoRR (2019)
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) (2019)
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)
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)
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 (2019)
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)
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 (2019)
Ruoming Jin, Yelong Sheng, Lin Liu, Xue-wen Chen, NhatHai Phan
Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention. CSoNet (2019)
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)
Hao Wei, Jeffrey Xu Yu, Can Lu, Ruoming Jin
Reachability querying: an independent permutation labeling approach. VLDB J. 27 (1) (2018)
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)
Yixin Fang, Ruoming Jin, Wei Xiong, Xiaoning Qian, Dejing Dou, Hai Phan
Recursive Structure Similarity: A Novel Algorithm for Graph Clustering. ICTAI (2018)
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) (2016)
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) (2016)
Adam Anthony, Yu-Keng Shih, Ruoming Jin, Yang Xiang
Leveraging a Graph-Powered, Real-Time Recommendation Engine to Create Rapid Business Value. RecSys (2016)
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) (2016)
Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng
A Deep Embedding Model for Co-occurrence Learning. CoRR (2015)
Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng
A Deep Embedding Model for Co-occurrence Learning. ICDM Workshops (2015)
Yubao Wu, Ruoming Jin, Jing Li, Xiang Zhang
Robust Local Community Detection: On Free Rider Effect and Its Elimination. Proc. VLDB Endow. 8 (7) (2015)
Yubao Wu, Ruoming Jin, Xiaofeng Zhu, Xiang Zhang
Finding dense and connected subgraphs in dual networks. ICDE (2015)
Hao Wei, Jeffrey Xu Yu, Can Lu, Ruoming Jin
Reachability Querying: An Independent Permutation Labeling Approach. Proc. VLDB Endow. 7 (12) (2014)
Feng Zhang, Victor E. Lee, Ruoming Jin
k-CoRating: Filling Up Data to Obtain Privacy and Utility. AAAI (2014)
Ruoming Jin, Victor E. Lee, Longjie Li
Scalable and axiomatic ranking of network role similarity. ACM Trans. Knowl. Discov. Data 8 (1) (2014)
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)
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) (2014)
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) (2014)
Ruoming Jin, Yelong Shen, Lin Liu, Xue-wen Chen
Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention CoRR (2013)
Jun Gao, Jeffrey Xu Yu, Ruoming Jin, Jiashuai Zhou, Tengjiao Wang, Dongqing Yang
Outsourcing shortest distance computing with privacy protection. VLDB J. 22 (4) (2013)
Haishan Liu, Dejing Dou, Ruoming Jin, Paea LePendu, Nigam Shah
Mining Biomedical Ontologies and Data Using RDF Hypergraphs. ICMLA (1) (2013)
Yan Huang, Ruoming Jin, Favyen Bastani, Xiaoyang Sean Wang
Large Scale Real-time Ridesharing with Service Guarantee on Road Networks CoRR (2013)
Zheng Liu, Ruoming Jin, Hong Cheng, Jeffrey Xu Yu
Frequent Subgraph Summarization with Error Control. WAIM (2013)
Charles Tian, Yan Huang, Zhi Liu, Favyen Bastani, Ruoming Jin
Noah: a dynamic ridesharing system. SIGMOD Conference (2013)
Ruoming Jin, Ning Ruan, Bo You, Haixun Wang
Hub-Accelerator: Fast and Exact Shortest Path Computation in Large Social Networks CoRR (2013)
Ruoming Jin, Guan Wang
Simple, Fast, and Scalable Reachability Oracle CoRR (2013)
Ruoming Jin, Guan Wang
Simple, Fast, and Scalable Reachability Oracle. Proc. VLDB Endow. 6 (14) (2013)
Jun Gao, Ruoming Jin, Jiashuai Zhou, Jeffrey Xu Yu, Xiao Jiang, Tengjiao Wang
Relational Approach for Shortest Path Discovery over Large Graphs CoRR (2012)
Bolin Ding, Haixun Wang, Ruoming Jin, Jiawei Han, Zhongyuan Wang
Optimizing index for taxonomy keyword search. SIGMOD Conference (2012)
Lin Liu, Ruoming Jin, Charu C. Aggarwal, Yelong Shen
Reliable Clustering on Uncertain Graphs. ICDM (2012)
Yelong Shen, Ruoming Jin
Learning personal + social latent factor model for social recommendation. KDD (2012)
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)
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)
Ruoming Jin, Ning Ruan, Saikat Dey, Jeffrey Xu Yu
SCARAB: scaling reachability computation on large graphs. SIGMOD Conference (2012)
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) (2012)
Yang Xiang, David Fuhry, Ruoming Jin, Ye Zhao, Kun Huang
Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery. PAKDD (1) (2012)
Ning Ruan, Ruoming Jin, Crown Guan Wang, Kun Huang
Network Backbone Discovery Using Edge Clustering CoRR (2012)
Ruoming Jin, Lin Liu, Bolin Ding, Haixun Wang
Distance-Constraint Reachability Computation in Uncertain Graphs. Proc. VLDB Endow. 4 (9) (2011)
Ruoming Jin, Victor E. Lee, Hui Hong
Axiomatic ranking of network role similarity. KDD (2011)
Ning Ruan, Ruoming Jin, Yan Huang
Distance Preserving Graph Simplification CoRR (2011)
Haishan Liu, Paea LePendu, Ruoming Jin, Dejing Dou
A Hypergraph-based Method for Discovering Semantically Associated Itemsets. ICDM (2011)
Ruoming Jin, Victor E. Lee, Hui Hong
Axiomatic Ranking of Network Role Similarity CoRR (2011)
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)
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) (2011)
Ning Ruan, Ruoming Jin, Yan Huang
Distance Preserving Graph Simplification. ICDM (2011)
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) (2011)
Jun Gao, Jeffrey Xu Yu, Ruoming Jin, Jiashuai Zhou, Tengjiao Wang, Dongqing Yang
Neighborhood-privacy protected shortest distance computing in cloud. SIGMOD Conference (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ruoming Jin