| 2026 | ICS | CipherSkip: Efficient Sparse Matrix Multiplication with FHE. | Wujie Xiong, Hao Zhou, Yutong Ye, Ruoming Jin, Lei Xu |
| 2025 | ICML | Can Large Language Models Understand Intermediate Representations in Compilers? | Hailong Jiang, Jianfeng Zhu, Yao Wan, Bo Fang, Hongyu Zhang, Ruoming Jin, Qiang Guan |
| 2025 | ICML | Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning. | Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou |
| 2024 | CCS | Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. | Khiem Ton, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen |
| 2024 | EMNLP | Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. | Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou |
| 2024 | RO-MAN | Federated Joint Learning of Robot Networks in Stroke Rehabilitation. | Xinyu Jiang, Yibei Guo, Mengsha Hu, Ruoming Jin, Hai Phan, Jay Alberts, Rui Liu |
| 2024 | RO-MAN | Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance. | Jie Zhu, Mengsha Hu, Amy Zhang, Ruoming Jin, Rui Liu |
| 2024 | SDM | AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. | Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez |
| 2024 | SRDS | HAppA: A Modular Platform for HPC Application Resilience Analysis with LLMs Embedded. | Hailong Jiang, Jianfeng Zhu, Bo Fang, Kevin J. Barker, Chao Chen, Ruoming Jin, Qiang Guan |
| 2023 | AAAI | Towards Reliable Item Sampling for Recommendation Evaluation. | Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu |
| 2023 | PERCOM | Zone-based Federated Learning for Mobile Sensing Data. | Xiaopeng Jiang, Thinh On, NhatHai Phan, Hessamaldin Mohammadi, Vijaya Datta Mayyuri, An M. Chen, Ruoming Jin, Cristian Borcea |
| 2023 | PPoPP | iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures. | Zhen Peng, Minjia Zhang, Kai Li, Ruoming Jin, Bin Ren |
| 2022 | ICDM | Federated Fingerprint Learning with Heterogeneous Architectures. | Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou |
| 2021 | AAAI | On Estimating Recommendation Evaluation Metrics under Sampling. | Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu |
| 2021 | HiPC | HEALS: A Parallel eALS Recommendation System on CPU/GPU Heterogeneous Platforms. | Qihan Wang, Wei Niu, Li Chen, Ruoming Jin, Bin Ren |
| 2021 | ICML | Integrated Defense for Resilient Graph Matching. | Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou |
| 2021 | ICML | Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. | Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan |
| 2021 | KDD | Towards a Better Understanding of Linear Models for Recommendation. | Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou |
| 2021 | WWW | Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination. | Yang Zhou, Zeru Zhang, Sixing Wu, Victor S. Sheng, Xiaoying Han, Zijie Zhang, Ruoming Jin |
| 2020 | ICDM | Robust Meta Network Embedding against Adversarial Attacks. | Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee |
| 2020 | ICML | Scalable Differential Privacy with Certified Robustness in Adversarial Learning. | NhatHai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou |
| 2020 | ICS | Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms. | Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren |
| 2020 | KDD | On Sampling Top-K Recommendation Evaluation. | Dong Li, Ruoming Jin, Jing Gao, Zhi Liu |
| 2019 | ICDM | Dual Adversarial Learning Based Network Alignment. | Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang |
| 2019 | IJCAI | Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. | NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai |
| 2018 | ICDM | Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification. | Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang |
| 2018 | ICTAI | Recursive Structure Similarity: A Novel Algorithm for Graph Clustering. | Yixin Fang, Ruoming Jin, Wei Xiong, Xiaoning Qian, Dejing Dou, Hai Phan |
| 2016 | RecSys | Leveraging a Graph-Powered, Real-Time Recommendation Engine to Create Rapid Business Value. | Adam Anthony, Yu-Keng Shih, Ruoming Jin, Yang Xiang |
| 2015 | ICDE | Finding dense and connected subgraphs in dual networks. | Yubao Wu, Ruoming Jin, Xiaofeng Zhu, Xiang Zhang |
| 2015 | ICDM | A Deep Embedding Model for Co-occurrence Learning. | Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng |
| 2014 | AAAI | k-CoRating: Filling Up Data to Obtain Privacy and Utility. | Feng Zhang, Victor E. Lee, Ruoming Jin |
| 2014 | SIGMOD | Fast and unified local search for random walk based k-nearest-neighbor query in large graphs. | Yubao Wu, Ruoming Jin, Xiang Zhang |
| 2013 | ICMLA | Mining Biomedical Ontologies and Data Using RDF Hypergraphs. | Haishan Liu, Dejing Dou, Ruoming Jin, Paea LePendu, Nigam Shah |
| 2013 | SIGMOD | Noah: a dynamic ridesharing system. | Charles Tian, Yan Huang, Zhi Liu, Favyen Bastani, Ruoming Jin |
| 2012 | ICDM | Reliable Clustering on Uncertain Graphs. | Lin Liu, Ruoming Jin, Charu C. Aggarwal, Yelong Shen |
| 2012 | ICDM | Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network. | Yelong Shen, Ruoming Jin, Dejing Dou, Nafisa Afrin Chowdhury, Junfeng Sun, Brigitte Piniewski, David Kil |
| 2012 | KDD | Learning personal + social latent factor model for social recommendation. | Yelong Shen, Ruoming Jin |
| 2012 | PAKDD | Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery. | Yang Xiang, David Fuhry, Ruoming Jin, Ye Zhao, Kun Huang |
| 2012 | SIGMOD | Optimizing index for taxonomy keyword search. | Bolin Ding, Haixun Wang, Ruoming Jin, Jiawei Han, Zhongyuan Wang |
| 2012 | SIGMOD | SCARAB: scaling reachability computation on large graphs. | Ruoming Jin, Ning Ruan, Saikat Dey, Jeffrey Xu Yu |
| 2012 | SIGMOD | A highway-centric labeling approach for answering distance queries on large sparse graphs. | Ruoming Jin, Ning Ruan, Yang Xiang, Victor E. Lee |
| 2011 | CIKM | Multi-view random walk framework for search task discovery from click-through log. | Jianwei Cui, Hongyan Liu, Jun Yan, Lei Ji, Ruoming Jin, Jun He, Yingqin Gu, Zheng Chen, Xiaoyong Du |
| 2011 | ICDM | A Hypergraph-based Method for Discovering Semantically Associated Itemsets. | Haishan Liu, Paea LePendu, Ruoming Jin, Dejing Dou |
| 2011 | ICDM | Distance Preserving Graph Simplification. | Ning Ruan, Ruoming Jin, Yan Huang |
| 2011 | KDD | Discovering highly reliable subgraphs in uncertain graphs. | Ruoming Jin, Lin Liu, Charu C. Aggarwal |
| 2011 | KDD | Axiomatic ranking of network role similarity. | Ruoming Jin, Victor E. Lee, Hui Hong |
| 2011 | SIGMOD | Neighborhood-privacy protected shortest distance computing in cloud. | Jun Gao, Jeffrey Xu Yu, Ruoming Jin, Jiashuai Zhou, Tengjiao Wang, Dongqing Yang |
| 2010 | CIKM | Communication motifs: a tool to characterize social communications. | Qiankun Zhao, Yuan Tian, Qi He, Nuria Oliver, Ruoming Jin, Wang-Chien Lee |
| 2010 | SIGMOD | Computing label-constraint reachability in graph databases. | Ruoming Jin, Hui Hong, Haixun Wang, Ning Ruan, Yang Xiang |
| 2009 | EDBT | Efficient skyline computation in metric space. | David Fuhry, Ruoming Jin, Donghui Zhang |
| 2009 | EDBT | Estimating the number of frequent itemsets in a large database. | Ruoming Jin, Scott McCallen, Yuri Breitbart, David Fuhry, Dong Wang |
| 2009 | ICDM | A Tree-Based Framework for Difference Summarization. | Ruoming Jin, Yuri Breitbart, Rong Li |
| 2009 | ICDM | A Sparsification Approach for Temporal Graphical Model Decomposition. | Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang |
| 2009 | IJCAI | Multiple Information Sources Cooperative Learning. | Xingquan Zhu, Ruoming Jin |
| 2009 | KDD | Migration motif: a spatial - temporal pattern mining approach for financial markets. | Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee, John H. Thornton Jr. |
| 2009 | KDD | Cartesian contour: a concise representation for a collection of frequent sets. | Ruoming Jin, Yang Xiang, Lin Liu |
| 2009 | PSB | Identifying Dynamic Network Modules with Temporal and Spatial Constraints. | Ruoming Jin, Scott McCallen, Chun-Chi Liu, Yang Xiang, Eivind Almaas, Xianghong Jasmine Zhou |
| 2009 | SIGMOD | 3-HOP: a high-compression indexing scheme for reachability query. | Ruoming Jin, Yang Xiang, Ning Ruan, David Fuhry |
| 2008 | EDBT | Cost-based query optimization for complex pattern mining on multiple databases. | Ruoming Jin, David Fuhry, Abdulkareem Alali |
| 2008 | ICDM | Overlapping Matrix Pattern Visualization: A Hypergraph Approach. | Ruoming Jin, Yang Xiang, David Fuhry, Feodor F. Dragan |
| 2008 | ICDM | A Topic Modeling Approach and Its Integration into the Random Walk Framework for Academic Search. | Jie Tang, Ruoming Jin, Jing Zhang |
| 2008 | KDD | Effective and efficient itemset pattern summarization: regression-based approaches. | Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan |
| 2008 | KDD | Succinct summarization of transactional databases: an overlapped hyperrectangle scheme. | Yang Xiang, Ruoming Jin, David Fuhry, Feodor F. Dragan |
| 2008 | SIGMOD | Efficiently answering reachability queries on very large directed graphs. | Ruoming Jin, Yang Xiang, Ning Ruan, Haixun Wang |
| 2008 | SSDBM | Query Planning for Searching Inter-dependent Deep-Web Databases. | Fan Wang, Gagan Agrawal, Ruoming Jin |
| 2007 | BIBE | SNPMiner: A Domain-Specific Deep Web Mining Tool. | Fan Wang, Gagan Agrawal, Ruoming Jin, Helen Piontkivska |
| 2007 | BIBE | Graph and Topological Structure Mining on Scientific Articles. | Fan Wang, Ruoming Jin, Gagan Agrawal, Helen Piontkivska |
| 2007 | ICDM | Data Discretization Unification. | Ruoming Jin, Yuri Breitbart, Chibuike Muoh |
| 2007 | ICDM | Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks. | Ruoming Jin, Scott McCallen, Eivind Almaas |
| 2006 | BIBE | Exploratory Tools for FollowUp Studies to Microarray Experiments. | Kaushik Sinha, Ruoming Jin, Gagan Agrawal, Helen Piontkivska |
| 2006 | BIBE | Assigning Schema Labels Using Ontology And Hueristics. | Xuan Zhang, Ruoming Jin, Gagan Agrawal |
| 2006 | EDBT | A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries. | Chao Wang, Srinivasan Parthasarathy, Ruoming Jin |
| 2006 | ICDE | Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases. | Ruoming Jin, Gagan Agrawal |
| 2006 | ICDE | New Sampling-Based Estimators for OLAP Queries. | Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gagan Agrawal |
| 2006 | ICPP | FREERIDE-G: Supporting Applications that Mine Remote. | Leonid Glimcher, Ruoming Jin, Gagan Agrawal |
| 2005 | BIBE | Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. | Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal |
| 2005 | ICDM | An Algorithm for In-Core Frequent Itemset Mining on Streaming Data. | Ruoming Jin, Gagan Agrawal |
| 2005 | KDD | Simultaneous optimization of complex mining tasks with a knowledgeable cache. | Ruoming Jin, Kaushik Sinha, Gagan Agrawal |
| 2005 | KDD | A framework to support multiple query optimization for complex mining tasks. | Ruoming Jin, Kaushik Sinha, Gagan Agrawal |
| 2005 | KDD | Discovering frequent topological structures from graph datasets. | Ruoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal |
| 2004 | ICDM | Fast and Exact Out-of-Core K-Means Clustering. | Anjan Goswami, Ruoming Jin, Gagan Agrawal |
| 2004 | ICPP | Using Tiling to Scale Parallel Data Cube Construction. | Ruoming Jin, Karthik Vaidyanathan, Ge Yang, Gagan Agrawal |
| 2003 | HiPC | Parallel Data Cube Construction: Algorithms, Theoretical Analysis, and Experimental Evaluation. | Ruoming Jin, Ge Yang, Gagan Agrawal |
| 2003 | ICPP | Communication and Memory Optimal Parallel Data Cube Construction. | Ruoming Jin, Ge Yang, Karthik Vaidyanathan, Gagan Agrawal |
| 2003 | KDD | Efficient decision tree construction on streaming data. | Ruoming Jin, Gagan Agrawal |
| 2003 | SDM | Communication and Memory Efficient Parallel Decision Tree Construction. | Ruoming Jin, Gagan Agrawal |
| 2002 | CCGRID | Implementing Data Cube Construction using a Cluster Middleware: Algorithms, Implementation Experience, and Performance Evaluation. | Ge Yang, Ruoming Jin, Gagan Agrawal |
| 2002 | EuroPar | Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware. | Ruoming Jin, Gagan Agrawal |
| 2002 | SIGMETRICS | Performance prediction for random write reductions: a case study in modeling shared memory programs. | Ruoming Jin, Gagan Agrawal |
| 2002 | SDM | Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. | Ruoming Jin, Gagan Agrawal |
| 2001 | SDM | A Middleware for Developing Parallel Data Mining Applications. | Ruoming Jin, Gagan Agrawal |