Ruoming Jin - RankMe

208 papers A* 48A 13B 17C 6Misc 3Journal 84Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalizing Linear Autoencoder Recommenders with Decoupled Expected Quadratic Loss. CoRR Ruixin Guo, Xinyu Li, Hao Zhou, Yang Zhou, Ruoming Jin
2026	J	`jnl`	NOIR: Privacy-Preserving Generation of Code with Open-Source LLMs. CoRR Khoa Nguyen, Khiem Ton, NhatHai Phan, Issa Khalil, Khang Tran, Cristian Borcea, Ruoming Jin, Abdallah Khreishah, My T. Thai
2026	J	`jnl`	Scaling Sparse Matrix Computation for Secure Outsourced Computing. IACR Cryptol. ePrint Arch. Wujie Xiong, Hao Zhou, Yutong Ye, Ruoming Jin, Lei Xu
2026	J	`jnl`	Understanding Risk and Dependency in AI Chatbot Use from User Discourse. CoRR Jianfeng Zhu, Karin G. Coifman, Ruoming Jin
2026	J	`jnl`	What Do AI Agents Talk About? Emergent Communication Structure in the First AI-Only Social Network. CoRR Taksch Dube, Jianfeng Zhu, NhatHai Phan, Ruoming Jin
2025	J	`jnl`	AI-Powered Early Diagnosis of Mental Health Disorders from Real-World Clinical Conversations. CoRR Jianfeng Zhu, Julina Maharjan, Xinyu Li, Karin G. Coifman, Ruoming Jin
2025	J	`jnl`	Can LLMs Infer Personality from Real World Conversations? CoRR Jianfeng Zhu, Ruoming Jin, Karin G. Coifman
2025	A*	`conf`	Can Large Language Models Understand Intermediate Representations in Compilers? ICML Hailong Jiang, Jianfeng Zhu, Yao Wan, Bo Fang, Hongyu Zhang, Ruoming Jin, Qiang Guan
2025	J	`jnl`	Can Large Language Models Understand Intermediate Representations? CoRR Hailong Jiang, Jianfeng Zhu, Yao Wan, Bo Fang, Hongyu Zhang, Ruoming Jin, Qiang Guan
2025	J	`jnl`	Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout. CoRR Ji Liu, Beichen Ma, Qiaolin Yu, Ruoming Jin, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Haixun Wang, Dejing Dou, Patrick Valduriez
2025	J	`jnl`	Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout. ACM Trans. Knowl. Discov. Data Ji Liu, Beichen Ma, Qiaolin Yu, Ruoming Jin, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Haixun Wang, Dejing Dou, Patrick Valduriez
2025	J	`jnl`	Evaluating LLM Alignment on Personality Inference from Real-World Interview Data. CoRR Jianfeng Zhu, Julina Maharjan, Xinyu Li, Karin G. Coifman, Ruoming Jin
2025	J	`jnl`	Exploring Suicide Factors in Online Discourse: Sentiment and Thematic Analysis of Reddit. ACM Trans. Web Evan Dan, Jianfeng Zhu, Ruoming Jin
2025	J	`jnl`	FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning. CoRR Phung Lai, Xiaopeng Jiang, Hai Phan, Cristian Borcea, Khang Tran, An M. Chen, Vijaya Datta Mayyuri, Ruoming Jin
2025	A*	`conf`	Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning. ICML Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou
2025	J	`jnl`	Investigating Large Language Models in Inferring Personality Traits from User Conversations. CoRR Jianfeng Zhu, Ruoming Jin, Karin G. Coifman
2025	J	`jnl`	Leveraging Large Language Models to Analyze Emotional and Contextual Drivers of Teen Substance Use in Online Discussions. CoRR Jianfeng Zhu, Ruoming Jin, Hailong Jiang, Yulan Wang, Xinyu Zhang, Karin G. Coifman
2025	J	`jnl`	PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders. CoRR Ruixin Guo, Ruoming Jin, Xinyu Li, Yang Zhou
2025	B	`conf`	SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning. IEEE Big Data Khoa Nguyen, Khang Tran, NhatHai Phan, Cristian Borcea, Ruoming Jin, Issa Khalil
2025	J	`jnl`	SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning. CoRR Khoa Nguyen, Khang Tran, NhatHai Phan, Cristian Borcea, Ruoming Jin, Issa Khalil
2025	J	`jnl`	SoK: Are Watermarks in LLMs Ready for Deployment? CoRR Kieu Dang, Phung Lai, NhatHai Phan, Yelong Shen, Ruoming Jin, Abdallah Khreishah, My T. Thai
2025	J	`jnl`	δ-STEAL: LLM Stealing Attack with Local Differential Privacy. CoRR Kieu Dang, Phung Lai, NhatHai Phan, Yelong Shen, Ruoming Jin, Abdallah Khreishah
2024	A	`conf`	AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. SDM Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
2024	A*	`conf`	Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. CCS Khiem Ton, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen
2024	J	`jnl`	Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. CoRR Khiem Ton, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen
2024	J	`jnl`	FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps. IEEE Trans. Mob. Comput. 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
2024	B	`conf`	Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance. RO-MAN Jie Zhu, Mengsha Hu, Amy Zhang, Ruoming Jin, Rui Liu
2024	B	`conf`	Federated Contrastive Learning of Graph-Level Representations. IEEE Big Data Xiang Li, Gagan Agrawal, Rajiv Ramnath, Ruoming Jin
2024	J	`jnl`	Federated Contrastive Learning of Graph-Level Representations. CoRR Xiang Li, Gagan Agrawal, Rajiv Ramnath, Ruoming Jin
2024	B	`conf`	Federated Joint Learning of Robot Networks in Stroke Rehabilitation. RO-MAN Xinyu Jiang, Yibei Guo, Mengsha Hu, Ruoming Jin, Hai Phan, Jay Alberts, Rui Liu
2024	J	`jnl`	Federated Joint Learning of Robot Networks in Stroke Rehabilitation. CoRR Xinyu Jiang, Yibei Guo, Mengsha Hu, Ruoming Jin, Hai Phan, Jay Alberts, Rui Liu
2024	A*	`conf`	Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. EMNLP Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou
2024	J	`jnl`	Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. CoRR Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou
2024	B	`conf`	HAppA: A Modular Platform for HPC Application Resilience Analysis with LLMs Embedded. SRDS Hailong Jiang, Jianfeng Zhu, Bo Fang, Kevin J. Barker, Chao Chen, Ruoming Jin, Qiang Guan
2024	J	`jnl`	On Item-Sampling Evaluation for Recommender System. Trans. Recomm. Syst. Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu
2024	J	`jnl`	Scalable Deep Metric Learning on Attributed Graphs. CoRR Xiang Li, Gagan Agrawal, Ruoming Jin, Rajiv Ramnath
2023	J	`jnl`	(Debiased) Contrastive Learning Loss for Recommendation (Technical Report). CoRR Ruoming Jin, Dong Li
2023	J	`jnl`	AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. CoRR Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
2023	J	`jnl`	Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance. CoRR Jie Zhu, Mengsha Hu, Xueyao Liang, Amy Zhang, Ruoming Jin, Rui Liu
2023	J	`jnl`	Identifying the Edges of the Optic Cup and the Optic Disc in Glaucoma Patients by Segmentation. Sensors Srikanth Tadisetty, Ranjith Chodavarapu, Ruoming Jin, Robert J. Clements, Minzhong Yu
2023	J	`jnl`	Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report). CoRR Dong Li, Ruoming Jin, Bin Ren
2023	—	`conf`	Scalable Deep Metric Learning on Attributed Graphs. CSoNet Xiang Li, Gagan Agrawal, Ruoming Jin, Rajiv Ramnath
2023	A*	`conf`	Towards Reliable Item Sampling for Recommendation Evaluation. AAAI Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu
2023	A*	`conf`	Zone-based Federated Learning for Mobile Sensing Data. PERCOM Xiaopeng Jiang, Thinh On, NhatHai Phan, Hessamaldin Mohammadi, Vijaya Datta Mayyuri, An M. Chen, Ruoming Jin, Cristian Borcea
2023	J	`jnl`	Zone-based Federated Learning for Mobile Sensing Data. CoRR Xiaopeng Jiang, Thinh On, NhatHai Phan, Hessamaldin Mohammadi, Vijaya Datta Mayyuri, An M. Chen, Ruoming Jin, Cristian Borcea
2023	B	`conf`	iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures. PPoPP Zhen Peng, Minjia Zhang, Kai Li, Ruoming Jin, Bin Ren
2023	J	`jnl`	iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures. IEEE Data Eng. Bull. Minjia Zhang, Jie Ren, Zhen Peng, Ruoming Jin, Dong Li, Bin Ren
2022	B	`conf`	Deep Graph Clustering with Random-walk based Scalable Learning. ASONAM Xiang Li, Dong Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal
2022	A*	`conf`	Federated Fingerprint Learning with Heterogeneous Architectures. ICDM Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou
2022	J	`jnl`	Generation-Augmented Query Expansion For Code Retrieval. CoRR Dong Li, Yelong Shen, Ruoming Jin, Yi Mao, Kuan Wang, Weizhu Chen
2022	—	`conf`	Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. CoLLAs Phung Lai, Han Hu, Hai Phan, Ruoming Jin, My T. Thai, An M. Chen
2022	J	`jnl`	Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. CoRR Phung Lai, Han Hu, NhatHai Phan, Ruoming Jin, My T. Thai, An M. Chen
2022	J	`jnl`	Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism. CoRR Zhen Peng, Minjia Zhang, Kai Li, Ruoming Jin, Bin Ren
2022	J	`jnl`	Towards Reliable Item Sampling for Recommendation Evaluation. CoRR Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu
2022	J	`jnl`	Unsupervised Adversarial Network Alignment with Reinforcement Learning. ACM Trans. Knowl. Discov. Data Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou
2021	C	`ed.`	20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021 ICMLA M. Arif Wani, Ishwar K. Sethi, Weisong Shi, Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin
2021	—	`conf`	A Framework for Accelerating Graph Convolutional Networks on Massive Datasets. CSoNet Xiang Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal
2021	—	`ed.`	Computational Data and Social Networks - 10th International Conference, CSoNet 2021, Virtual Event, November 15-17, 2021, Proceedings CSoNet David Mohaisen, Ruoming Jin
2021	A*	`conf`	Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. ICML Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan
2021	J	`jnl`	FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps. CoRR Han Hu, Xiaopeng Jiang, Vijaya Datta Mayyuri, An M. Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan
2021	Misc	`conf`	HEALS: A Parallel eALS Recommendation System on CPU/GPU Heterogeneous Platforms. HiPC Qihan Wang, Wei Niu, Li Chen, Ruoming Jin, Bin Ren
2021	A*	`conf`	Integrated Defense for Resilient Graph Matching. ICML Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou
2021	A*	`conf`	On Estimating Recommendation Evaluation Metrics under Sampling. AAAI Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu
2021	J	`jnl`	On Estimating Recommendation Evaluation Metrics under Sampling. CoRR Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu
2021	J	`jnl`	On Sampling Top-K Recommendation Evaluation. CoRR Dong Li, Ruoming Jin, Jing Gao, Zhi Liu
2021	A*	`conf`	Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination. WWW Yang Zhou, Zeru Zhang, Sixing Wu, Victor S. Sheng, Xiaoying Han, Zijie Zhang, Ruoming Jin
2021	J	`jnl`	Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning. CoRR Xiang Li, Dong Li, Ruoming Jin, Gagan Agrawal, Rajiv Ramnath
2021	A*	`conf`	Towards a Better Understanding of Linear Models for Recommendation. KDD Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou
2021	J	`jnl`	Towards a Better Understanding of Linear Models for Recommendation. CoRR Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou
2021	A*	`conf`	Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. NeurIPS Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou
2020	A*	`conf`	Adversarial Attacks on Deep Graph Matching. NeurIPS Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou
2020	A*	`conf`	On Sampling Top-K Recommendation Evaluation. KDD Dong Li, Ruoming Jin, Jing Gao, Zhi Liu
2020	A	`conf`	Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms. ICS Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren
2020	A*	`conf`	Robust Meta Network Embedding against Adversarial Attacks. ICDM Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee
2020	A*	`conf`	Scalable Differential Privacy with Certified Robustness in Adversarial Learning. ICML NhatHai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou
2020	—	`conf`	Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference. IEEE BigData Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan
2019	J	`jnl`	Detecting events from the social media through exemplar-enhanced supervised learning. Int. J. Digit. Earth Xuan Shi, Bowei Xue, Ming-Hsiang Tsou, Xinyue Ye, Brian H. Spitzberg, Jean Mark Gawron, Heather Corliss, Jay Lee, Ruoming Jin
2019	—	`conf`	DrugTracker: A Community-focused Drug Abuse Monitoring and Supporting System using Social Media and Geospatial Data (Demo Paper). SIGSPATIAL/GIS Han Hu, NhatHai Phan, Xinyue Ye, Ruoming Jin, Kele Ding, Dejing Dou, Huy T. Vo
2019	A*	`conf`	Dual Adversarial Learning Based Network Alignment. ICDM Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang
2019	A*	`conf`	Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. IJCAI NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai
2019	J	`jnl`	Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. CoRR NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai
2019	—	`conf`	Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification. IEEE BigData Yang Zhou, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang
2019	—	`conf`	Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention. CSoNet Ruoming Jin, Yelong Sheng, Lin Liu, Xue-wen Chen, NhatHai Phan
2019	J	`jnl`	Preserving Differential Privacy in Adversarial Learning with Provable Robustness. CoRR NhatHai Phan, Ruoming Jin, My T. Thai, Han Hu, Dejing Dou
2019	J	`jnl`	Privacy-aware smart city: A case study in collaborative filtering recommender systems. J. Parallel Distributed Comput. Feng Zhang, Victor E. Lee, Ruoming Jin, Saurabh Garg, Kim-Kwang Raymond Choo, Michele Maasberg, Lijun Dong, Chi Cheng
2019	J	`jnl`	Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage! CoRR Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren
2019	—	`conf`	Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets. IEEE BigData Yang Zhou, Jiaxiang Ren, Sixing Wu, Dejing Dou, Ruoming Jin, Zijie Zhang, Pengwei Wang
2018	A*	`conf`	Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification. ICDM Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang
2018	—	`conf`	Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering. IEEE BigData Yang Zhou, Amnay Amimeur, Chao Jiang, Dejing Dou, Ruoming Jin, Pengwei Wang
2018	J	`jnl`	Reachability querying: an independent permutation labeling approach. VLDB J. Hao Wei, Jeffrey Xu Yu, Can Lu, Ruoming Jin
2018	B	`conf`	Recursive Structure Similarity: A Novel Algorithm for Graph Clustering. ICTAI Yixin Fang, Ruoming Jin, Wei Xiong, Xiaoning Qian, Dejing Dou, Hai Phan
2018	—	`ch.`	Uncertain Graph Data Management. Encyclopedia of Database Systems (2nd ed.) Lin Liu, Victor E. Lee, Ruoming Jin
2016	J	`jnl`	Dynamic socialized Gaussian process models for human behavior prediction in a health social network. Knowl. Inf. Syst. Yelong Shen, NhatHai Phan, Xiao Xiao, Ruoming Jin, Junfeng Sun, Brigitte Piniewski, David Kil, Dejing Dou
2016	J	`jnl`	Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large Graphs. IEEE Trans. Knowl. Data Eng. Yubao Wu, Ruoming Jin, Xiang Zhang
2016	A	`conf`	Leveraging a Graph-Powered, Real-Time Recommendation Engine to Create Rapid Business Value. RecSys Adam Anthony, Yu-Keng Shih, Ruoming Jin, Yang Xiang
2016	J	`jnl`	Mining Dual Networks: Models, Algorithms, and Applications. ACM Trans. Knowl. Discov. Data Yubao Wu, Xiaofeng Zhu, Li Li, Wei Fan, Ruoming Jin, Xiang Zhang
2015	—	`conf`	A Deep Embedding Model for Co-occurrence Learning. ICDM Workshops Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng
2015	J	`jnl`	A Deep Embedding Model for Co-occurrence Learning. CoRR Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng
2015	A*	`conf`	Finding dense and connected subgraphs in dual networks. ICDE Yubao Wu, Ruoming Jin, Xiaofeng Zhu, Xiang Zhang
2015	J	`jnl`	Robust Local Community Detection: On Free Rider Effect and Its Elimination. Proc. VLDB Endow. Yubao Wu, Ruoming Jin, Jing Li, Xiang Zhang
2014	—	`ch.`	Decision Trees: Theory and Algorithms. Data Classification: Algorithms and Applications Victor E. Lee, Lin Liu, Ruoming Jin
2014	J	`jnl`	Efficient location aware intrusion detection to protect mobile devices. Pers. Ubiquitous Comput. Sausan Yazji, Peter Scheuermann, Robert P. Dick, Goce Trajcevski, Ruoming Jin
2014	—	`conf`	Fast and unified local search for random walk based k-nearest-neighbor query in large graphs. SIGMOD Conference Yubao Wu, Ruoming Jin, Xiang Zhang
2014	—	`ch.`	Frequent Pattern Mining in Data Streams. Frequent Pattern Mining Victor E. Lee, Ruoming Jin, Gagan Agrawal
2014	J	`jnl`	Large Scale Real-time Ridesharing with Service Guarantee on Road Networks. Proc. VLDB Endow. Yan Huang, Favyen Bastani, Ruoming Jin, Xiaoyang Sean Wang
2014	J	`jnl`	Reachability Querying: An Independent Permutation Labeling Approach. Proc. VLDB Endow. Hao Wei, Jeffrey Xu Yu, Can Lu, Ruoming Jin
2014	J	`jnl`	Scalable and axiomatic ranking of network role similarity. ACM Trans. Knowl. Discov. Data Ruoming Jin, Victor E. Lee, Longjie Li
2014	A*	`conf`	k-CoRating: Filling Up Data to Obtain Privacy and Utility. AAAI Feng Zhang, Victor E. Lee, Ruoming Jin
2013	—	`conf`	Frequent Subgraph Summarization with Error Control. WAIM Zheng Liu, Ruoming Jin, Hong Cheng, Jeffrey Xu Yu
2013	J	`jnl`	Hub-Accelerator: Fast and Exact Shortest Path Computation in Large Social Networks CoRR Ruoming Jin, Ning Ruan, Bo You, Haixun Wang
2013	J	`jnl`	Large Scale Real-time Ridesharing with Service Guarantee on Road Networks CoRR Yan Huang, Ruoming Jin, Favyen Bastani, Xiaoyang Sean Wang
2013	J	`jnl`	Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention CoRR Ruoming Jin, Yelong Shen, Lin Liu, Xue-wen Chen
2013	—	`conf`	Mining Biomedical Ontologies and Data Using RDF Hypergraphs. ICMLA (1) Haishan Liu, Dejing Dou, Ruoming Jin, Paea LePendu, Nigam Shah
2013	—	`conf`	Noah: a dynamic ridesharing system. SIGMOD Conference Charles Tian, Yan Huang, Zhi Liu, Favyen Bastani, Ruoming Jin
2013	J	`jnl`	Outsourcing shortest distance computing with privacy protection. VLDB J. Jun Gao, Jeffrey Xu Yu, Ruoming Jin, Jiashuai Zhou, Tengjiao Wang, Dongqing Yang
2013	J	`jnl`	Simple, Fast, and Scalable Reachability Oracle CoRR Ruoming Jin, Guan Wang
2013	J	`jnl`	Simple, Fast, and Scalable Reachability Oracle. Proc. VLDB Endow. Ruoming Jin, Guan Wang
2012	—	`conf`	A highway-centric labeling approach for answering distance queries on large sparse graphs. SIGMOD Conference Ruoming Jin, Ning Ruan, Yang Xiang, Victor E. Lee
2012	A*	`conf`	Learning personal + social latent factor model for social recommendation. KDD Yelong Shen, Ruoming Jin
2012	J	`jnl`	Merging network patterns: a general framework to summarize biomedical network data. Netw. Model. Anal. Health Informatics Bioinform. Yang Xiang, David Fuhry, Kamer Kaya, Ruoming Jin, Ümit V. Çatalyürek, Kun Huang
2012	J	`jnl`	Network Backbone Discovery Using Edge Clustering CoRR Ning Ruan, Ruoming Jin, Crown Guan Wang, Kun Huang
2012	—	`conf`	Optimizing index for taxonomy keyword search. SIGMOD Conference Bolin Ding, Haixun Wang, Ruoming Jin, Jiawei Han, Zhongyuan Wang
2012	J	`jnl`	Relational Approach for Shortest Path Discovery over Large Graphs CoRR Jun Gao, Ruoming Jin, Jiashuai Zhou, Jeffrey Xu Yu, Xiao Jiang, Tengjiao Wang
2012	A*	`conf`	Reliable Clustering on Uncertain Graphs. ICDM Lin Liu, Ruoming Jin, Charu C. Aggarwal, Yelong Shen
2012	—	`conf`	SCARAB: scaling reachability computation on large graphs. SIGMOD Conference Ruoming Jin, Ning Ruan, Saikat Dey, Jeffrey Xu Yu
2012	A*	`conf`	Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network. ICDM Yelong Shen, Ruoming Jin, Dejing Dou, Nafisa Afrin Chowdhury, Junfeng Sun, Brigitte Piniewski, David Kil
2012	—	`conf`	Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery. PAKDD (1) Yang Xiang, David Fuhry, Ruoming Jin, Ye Zhao, Kun Huang
2011	A*	`conf`	A Hypergraph-based Method for Discovering Semantically Associated Itemsets. ICDM Haishan Liu, Paea LePendu, Ruoming Jin, Dejing Dou
2011	J	`jnl`	Axiomatic Ranking of Network Role Similarity CoRR Ruoming Jin, Victor E. Lee, Hui Hong
2011	A*	`conf`	Axiomatic ranking of network role similarity. KDD Ruoming Jin, Victor E. Lee, Hui Hong
2011	A*	`conf`	Discovering highly reliable subgraphs in uncertain graphs. KDD Ruoming Jin, Lin Liu, Charu C. Aggarwal
2011	J	`jnl`	Distance Preserving Graph Simplification CoRR Ning Ruan, Ruoming Jin, Yan Huang
2011	A*	`conf`	Distance Preserving Graph Simplification. ICDM Ning Ruan, Ruoming Jin, Yan Huang
2011	J	`jnl`	Distance-Constraint Reachability Computation in Uncertain Graphs. Proc. VLDB Endow. Ruoming Jin, Lin Liu, Bolin Ding, Haixun Wang
2011	A	`conf`	Multi-view random walk framework for search task discovery from click-through log. CIKM Jianwei Cui, Hongyan Liu, Jun Yan, Lei Ji, Ruoming Jin, Jun He, Yingqin Gu, Zheng Chen, Xiaoyong Du
2011	—	`conf`	Neighborhood-privacy protected shortest distance computing in cloud. SIGMOD Conference Jun Gao, Jeffrey Xu Yu, Ruoming Jin, Jiashuai Zhou, Tengjiao Wang, Dongqing Yang
2011	J	`jnl`	Path-tree: An efficient reachability indexing scheme for large directed graphs. ACM Trans. Database Syst. Ruoming Jin, Ning Ruan, Yang Xiang, Haixun Wang
2011	J	`jnl`	Relational Approach for Shortest Path Discovery over Large Graphs. Proc. VLDB Endow. Jun Gao, Ruoming Jin, Jiashuai Zhou, Jeffrey Xu Yu, Xiao Jiang, Tengjiao Wang
2011	J	`jnl`	Summarizing transactional databases with overlapped hyperrectangles. Data Min. Knowl. Discov. Yang Xiang, Ruoming Jin, David Fuhry, Feodor F. Dragan
2011	J	`jnl`	Topic level expertise search over heterogeneous networks. Mach. Learn. Jie Tang, Jing Zhang, Ruoming Jin, Zi Yang, Keke Cai, Li Zhang, Zhong Su
2010	—	`ch.`	A Survey of Algorithms for Dense Subgraph Discovery. Managing and Mining Graph Data Victor E. Lee, Ning Ruan, Ruoming Jin, Charu C. Aggarwal
2010	A	`conf`	Communication motifs: a tool to characterize social communications. CIKM Qiankun Zhao, Yuan Tian, Qi He, Nuria Oliver, Ruoming Jin, Wang-Chien Lee
2010	—	`conf`	Computing label-constraint reachability in graph databases. SIGMOD Conference Ruoming Jin, Hui Hong, Haixun Wang, Ning Ruan, Yang Xiang
2010	J	`jnl`	On Dense Pattern Mining in Graph Streams. Proc. VLDB Endow. Charu C. Aggarwal, Yao Li, Philip S. Yu, Ruoming Jin
2010	J	`jnl`	Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia. BMC Bioinform. Jie Zhang, Yang Xiang, Liya Ding, Kristin Keen-Circle, Tara Borlawsky, Hatice Gulcin Ozer, Ruoming Jin, Philip R. O. Payne, Kun Huang
2009	—	`conf`	3-HOP: a high-compression indexing scheme for reachability query. SIGMOD Conference Ruoming Jin, Yang Xiang, Ning Ruan, David Fuhry
2009	A*	`conf`	A Sparsification Approach for Temporal Graphical Model Decomposition. ICDM Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang
2009	A*	`conf`	A Tree-Based Framework for Difference Summarization. ICDM Ruoming Jin, Yuri Breitbart, Rong Li
2009	A*	`conf`	Cartesian contour: a concise representation for a collection of frequent sets. KDD Ruoming Jin, Yang Xiang, Lin Liu
2009	J	`jnl`	Data discretization unification. Knowl. Inf. Syst. Ruoming Jin, Yuri Breitbart, Chibuike Muoh
2009	B	`conf`	Efficient skyline computation in metric space. EDBT David Fuhry, Ruoming Jin, Donghui Zhang
2009	B	`conf`	Estimating the number of frequent itemsets in a large database. EDBT Ruoming Jin, Scott McCallen, Yuri Breitbart, David Fuhry, Dong Wang
2009	Misc	`conf`	Identifying Dynamic Network Modules with Temporal and Spatial Constraints. Pacific Symposium on Biocomputing Ruoming Jin, Scott McCallen, Chun-Chi Liu, Yang Xiang, Eivind Almaas, Xianghong Jasmine Zhou
2009	A*	`conf`	Migration motif: a spatial - temporal pattern mining approach for financial markets. KDD Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee, John H. Thornton Jr.
2009	A*	`conf`	Multiple Information Sources Cooperative Learning. IJCAI Xingquan Zhu, Ruoming Jin
2009	—	`conf`	Using Frequent Co-expression Network to Identify Gene Clusters for Breast Cancer Prognosis. IJCBS Jie Zhang, Kun Huang, Yang Xiang, Ruoming Jin
2008	A*	`conf`	A Topic Modeling Approach and Its Integration into the Random Walk Framework for Academic Search. ICDM Jie Tang, Ruoming Jin, Jing Zhang
2008	B	`conf`	Cost-based query optimization for complex pattern mining on multiple databases. EDBT Ruoming Jin, David Fuhry, Abdulkareem Alali
2008	A*	`conf`	Effective and efficient itemset pattern summarization: regression-based approaches. KDD Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan
2008	—	`conf`	Efficiently answering reachability queries on very large directed graphs. SIGMOD Conference Ruoming Jin, Yang Xiang, Ning Ruan, Haixun Wang
2008	J	`jnl`	MMIS07, 08: mining multiple information sources workshop report. SIGKDD Explor. Xingquan Zhu, Ruoming Jin, Yuri Breitbart, Gagan Agrawal
2008	J	`jnl`	Middleware for data mining applications on clusters and grids. J. Parallel Distributed Comput. Leonid Glimcher, Ruoming Jin, Gagan Agrawal
2008	A*	`conf`	Overlapping Matrix Pattern Visualization: A Hypergraph Approach. ICDM Ruoming Jin, Yang Xiang, David Fuhry, Feodor F. Dragan
2008	B	`conf`	Query Planning for Searching Inter-dependent Deep-Web Databases. SSDBM Fan Wang, Gagan Agrawal, Ruoming Jin
2008	A*	`conf`	Succinct summarization of transactional databases: an overlapped hyperrectangle scheme. KDD Yang Xiang, Ruoming Jin, David Fuhry, Feodor F. Dragan
2007	A*	`conf`	Data Discretization Unification. ICDM Ruoming Jin, Yuri Breitbart, Chibuike Muoh
2007	—	`ch.`	Frequent Pattern Mining in Data Streams. Data Streams - Models and Algorithms Ruoming Jin, Gagan Agrawal
2007	C	`conf`	Graph and Topological Structure Mining on Scientific Articles. BIBE Fan Wang, Ruoming Jin, Gagan Agrawal, Helen Piontkivska
2007	C	`conf`	SNPMiner: A Domain-Specific Deep Web Mining Tool. BIBE Fan Wang, Gagan Agrawal, Ruoming Jin, Helen Piontkivska
2007	A*	`conf`	Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks. ICDM Ruoming Jin, Scott McCallen, Eivind Almaas
2006	B	`conf`	A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries. EDBT Chao Wang, Srinivasan Parthasarathy, Ruoming Jin
2006	C	`conf`	Assigning Schema Labels Using Ontology And Hueristics. BIBE Xuan Zhang, Ruoming Jin, Gagan Agrawal
2006	C	`conf`	Exploratory Tools for FollowUp Studies to Microarray Experiments. BIBE Kaushik Sinha, Ruoming Jin, Gagan Agrawal, Helen Piontkivska
2006	B	`conf`	FREERIDE-G: Supporting Applications that Mine Remote. ICPP Leonid Glimcher, Ruoming Jin, Gagan Agrawal
2006	J	`jnl`	Fast and exact out-of-core and distributed Knowl. Inf. Syst. Ruoming Jin, Anjan Goswami, Gagan Agrawal
2006	A*	`conf`	New Sampling-Based Estimators for OLAP Queries. ICDE Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gagan Agrawal
2006	A*	`conf`	Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases. ICDE Ruoming Jin, Gagan Agrawal
2005	—	`conf`	A framework to support multiple query optimization for complex mining tasks. MDM/KDD Ruoming Jin, Kaushik Sinha, Gagan Agrawal
2005	J	`jnl`	A methodology for detailed performance modeling of reduction computations on SMP machines. Perform. Evaluation Ruoming Jin, Gagan Agrawal
2005	A*	`conf`	An Algorithm for In-Core Frequent Itemset Mining on Streaming Data. ICDM Ruoming Jin, Gagan Agrawal
2005	J	`jnl`	Communication and Memory Optimal Parallel Data Cube Construction. IEEE Trans. Parallel Distributed Syst. Ruoming Jin, Karthikeyan Vaidyanathan, Ge Yang, Gagan Agrawal
2005	A*	`conf`	Discovering frequent topological structures from graph datasets. KDD Ruoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal
2005	—	`conf`	Learning Layouts of Biological Datasets Semi-automatically. DILS Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal
2005	A	`conf`	Parallelizing a Defect Detection and Categorization Application. IPDPS Leonid Glimcher, Gagan Agrawal, Sameep Mehta, Ruoming Jin, Raghu Machiraju
2005	J	`jnl`	Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. IEEE Trans. Knowl. Data Eng. Ruoming Jin, Ge Yang, Gagan Agrawal
2005	A*	`conf`	Simultaneous optimization of complex mining tasks with a knowledgeable cache. KDD Ruoming Jin, Kaushik Sinha, Gagan Agrawal
2005	C	`conf`	Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. BIBE Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal
2004	A*	`conf`	Fast and Exact Out-of-Core K-Means Clustering. ICDM Anjan Goswami, Ruoming Jin, Gagan Agrawal
2004	B	`conf`	Using Tiling to Scale Parallel Data Cube Construction. ICPP Ruoming Jin, Karthik Vaidyanathan, Ge Yang, Gagan Agrawal
2003	A	`conf`	A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms. IPDPS Xiaogang Li, Ruoming Jin, Gagan Agrawal
2003	A	`conf`	Communication and Memory Efficient Parallel Decision Tree Construction. SDM Ruoming Jin, Gagan Agrawal
2003	B	`conf`	Communication and Memory Optimal Parallel Data Cube Construction. ICPP Ruoming Jin, Ge Yang, Karthik Vaidyanathan, Gagan Agrawal
2003	A*	`conf`	Efficient decision tree construction on streaming data. KDD Ruoming Jin, Gagan Agrawal
2003	A	`conf`	Impact of Data Distribution, Level of Parallelism, and Communication Frequency on Parallel Data Cube Construction. IPDPS Ge Yang, Ruoming Jin, Gagan Agrawal
2003	J	`jnl`	Implementing data cube construction using a cluster middleware: algorithms, implementation experience, and performance evaluation. Future Gener. Comput. Syst. Ge Yang, Ruoming Jin, Gagan Agrawal
2003	Misc	`conf`	Parallel Data Cube Construction: Algorithms, Theoretical Analysis, and Experimental Evaluation. HiPC Ruoming Jin, Ge Yang, Gagan Agrawal
2002	—	`conf`	Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms. LCPC Xiaogang Li, Ruoming Jin, Gagan Agrawal
2002	A	`conf`	Design and Evaluation of a High-Level Interface for Data Mining. IPDPS Ruoming Jin, Gagan Agrawal
2002	B	`conf`	Implementing Data Cube Construction using a Cluster Middleware: Algorithms, Implementation Experience, and Performance Evaluation. CCGRID Ge Yang, Ruoming Jin, Gagan Agrawal
2002	A*	`conf`	Performance prediction for random write reductions: a case study in modeling shared memory programs. SIGMETRICS Ruoming Jin, Gagan Agrawal
2002	—	`conf`	Runtime support for parallelizing data mining algorithms. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Ruoming Jin, Gagan Agrawal
2002	A	`conf`	Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. SDM Ruoming Jin, Gagan Agrawal
2002	—	`conf`	Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware. Euro-Par Ruoming Jin, Gagan Agrawal
2001	A	`conf`	A Middleware for Developing Parallel Data Mining Applications. SDM Ruoming Jin, Gagan Agrawal
2001	A	`conf`	An efficient association mining implementation on clusters of SMP. IPDPS Ruoming Jin, Gagan Agrawal
2001	—	`conf`	Compiler and Middleware Support for Scalable Data Mining. LCPC Gagan Agrawal, Ruoming Jin, Xiaogang Li
2000	—	`conf`	Compiling Data Intensive Applications with Spatial Coordinates. LCPC Renato Ferreira, Gagan Agrawal, Ruoming Jin, Joel H. Saltz
2000	—	`conf`	High Level Programming Methodologies for Data Intensive Computations. LCR Gagan Agrawal, Renato Ferreira, Ruoming Jin, Joel H. Saltz