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ORCIDRui Chen 0012
Person information
- affiliation: Harbin Engineering University, College of Computer Science and Technology, China
- affiliation: Samsung Research America, Mountain View, CA, USA
- affiliation: Hong Kong Baptist University, Department of Computer Science, Hong Kong
- affiliation: University of British Columbia, Department of Computer Science, Vancouver, Canada
- affiliation (PhD 2012): Concordia University, Department of Computer Science and Software Engineering, Montreal, Canada
Other persons with the same name
- Rui Chen — disambiguation page
- Rui Chen 0001
![[0000-0002-3690-7902]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3690-7902")
— Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China - Rui Chen 0002 — Iowa State University, Ivy College of Business, Ames, IA, USA (and 2 more)
- Rui Chen 0003 — Sichuan University, College of Computer Science, Chengdu, China
- Rui Chen 0004 — Beijing University of Posts and Telecommunications, School of Science, China (and 1 more)
- Rui Chen 0005 — Northwest University, School of Information Science and Technology, Xi'an, China
- Rui Chen 0006 — Tianjin University, School of Microelectronics, China (and 2 more)
- Rui Chen 0007 — Chinese Academy of Sciences, Institute of Policy and Management, Beijing, China
- Rui Chen 0008 — Chongqing Technology and Business University, Information Office, China
- Rui Chen 0009 — Nanjing Institute of Technology, School of Communications Engineering, Nanjing, China
- Rui Chen 0010 — Loughborough University, Department of Aeronautical and Automotive Engineering, Loughborough, UK
- Rui Chen 0011 — Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China
- Rui Chen 0013 — Baylor College of Medicine, Houston, TX, USA
- Rui Chen 0014 — Nanjing Institute of Industry Technology, China (and 2 more)
- Rui Chen 0015 — Chongqing University, College of Mechanical Engineering, China (and 1 more)
- Rui Chen 0016 — Tsinghua University, Computer Science and Technology Department, BNRist, Beijing, China
- Rui Chen 0017 — Information Engineering University, Institute of Geospatial Information, Zhengzhou, China
- Rui Chen 0018 — Huazhong University of Science and Technology, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Wuhan, China
- Rui Chen 0019 — Tsinghua University, Department of Mechanical Engineering, Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment Control, China
- Rui Chen 0020 — Wayne State University, Detroit, MI, USA
- Rui Chen 0021 — Vanderbilt University, Department of Molecular Physiology and Biophysics / Vanderbilt Genetics Institute, Nashville, TN, USA
- Rui Chen 0022 — Boston University, Division of Systems Engineering, Brookline, MA, USA
- Rui Chen 0023 — Tsinghua University, Department of Industrial Engineering, Beijing, China (and 1 more)
- Rui Chen 0024 — University of Science and Technology of China, Department of Automation, Hefei, China
- Rui Chen 0025 — Harbin Institute of Technology, Department of Civil and Environmental Engineering, Shenzhen, China (and 1 more)
- Rui Chen 0026 — University of Houston, Department of Electrical and Computer Engineering, TX, USA
- Rui Chen 0027 — Paris Dauphine University, France
- Rui Chen 0028 — Monash University, Australia
- Rui Chen 0029 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
- Rui Chen 0030 — Carnegie Mellon University, Robotics Institute, Department of Mechanical Engineering, Pittsburgh, PA, USA (and 1 more)
- Rui Chen 0031 — China Three Gorges University, College of Computer and Information Technology, Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, Yichang, China (and 1 more)
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2020 – today
- 2024
[j22]Zirui Liu, Qingquan Song, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu:
PME: pruning-based multi-size embedding for recommender systems. Frontiers Big Data 6 (2024)- [c57]Riwei Lai, Rui Chen, Qilong Han, Chi Zhang, Li Chen:
Adaptive Hardness Negative Sampling for Collaborative Filtering. AAAI 2024: 8645-8652 - [c56]Yukun Yan, Peng Tang, Rui Chen, Qilong Han, Ruochen Du:
DPC: Filtering Out Patch-Based Poisoned Samples with Differential Privacy. ESORICS (2) 2024: 289-309 - [c55]Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song:
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. ICDE 2024: 803-815 - [c54]Yuhan Zhao, Rui Chen, Qilong Han, Hongtao Song, Li Chen:
Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data. RecSys 2024: 247-256 - [i23]Riwei Lai, Rui Chen, Qilong Han, Chi Zhang, Li Chen:
Adaptive Hardness Negative Sampling for Collaborative Filtering. CoRR abs/2401.05191 (2024) - [i22]Hongyi Liu, Zirui Liu, Ruixiang Tang, Jiayi Yuan, Shaochen Zhong, Yu-Neng Chuang, Li Li, Rui Chen, Xia Hu:
LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario. CoRR abs/2403.00108 (2024) - [i21]Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song:
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. CoRR abs/2403.04278 (2024) - 2023
- [j21]Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han:
Trajectory Data Collection with Local Differential Privacy. Proc. VLDB Endow. 16(10): 2591-2604 (2023) - [j20]Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi:
Adaptive RiskAware Bidding with Budget Constraint in Display Advertising. SIGKDD Explor. 25(1): 73-82 (2023) - [j19]Yafei Li, Hongyan Gu, Rui Chen, Jianliang Xu, Shangwei Guo, Junxiao Xue, Mingliang Xu:
Efficient Top-k Matching for Publish/Subscribe Ride Hitching. IEEE Trans. Knowl. Data Eng. 35(4): 3808-3821 (2023) - [j18]Xiang Cheng, Jianyu Yang, Yufei Wang, Rui Chen, Sen Su, Yuejia Li:
Collecting Preference Rankings Under Local Differential Privacy. IEEE Trans. Knowl. Data Eng. 35(7): 6752-6766 (2023) - [j17]Peng Tang, Rui Chen, Sen Su, Shanqing Guo, Lei Ju, Gaoyuan Liu:
Multi-Party Sequential Data Publishing Under Differential Privacy. IEEE Trans. Knowl. Data Eng. 35(9): 9562-9577 (2023) - [j16]Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification. Trans. Mach. Learn. Res. 2023 (2023) - [c53]Yukun Yan, Qingqing Ye, Haibo Hu, Rui Chen, Qilong Han, Leixia Wang:
Towards Defending Against Byzantine LDP Amplified Gain Attacks. DASFAA (1) 2023: 627-643 - [c52]Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu:
Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation. ICDM 2023: 1343-1348 - [c51]Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang:
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. IJCNN 2023: 1-8 - [c50]Shitong Xiao, Rui Chen, Qilong Han, Riwei Lai, Hongtao Song, Li Li:
Proxy-Aware Cross-Domain Sequential Recommendation. IJCNN 2023: 1-8 - [c49]Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu:
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach. NeurIPS 2023 - [c48]Ruixiang (Ryan) Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu:
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. NeurIPS 2023 - [c47]Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, Li Chen:
Augmented Negative Sampling for Collaborative Filtering. RecSys 2023: 256-266 - [c46]Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu:
Adaptive Label Smoothing To Regularize Large-Scale Graph Training. SDM 2023: 55-63 - [c45]Riwei Lai, Li Chen, Yuhan Zhao, Rui Chen, Qilong Han:
Disentangled Negative Sampling for Collaborative Filtering. WSDM 2023: 96-104 - [c44]Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. WSDM 2023: 625-633 - [c43]Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu:
S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. WSDM 2023: 787-795 - [c42]Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li:
Denoising and Prompt-Tuning for Multi-Behavior Recommendation. WWW 2023: 1355-1363 - [i20]Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li:
Denoising and Prompt-Tuning for Multi-Behavior Recommendation. CoRR abs/2302.05862 (2023) - [i19]Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
Editable Graph Neural Network for Node Classifications. CoRR abs/2305.15529 (2023) - [i18]Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han:
Trajectory Data Collection with Local Differential Privacy. CoRR abs/2307.09339 (2023) - [i17]Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang:
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. CoRR abs/2307.11994 (2023) - [i16]Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, Li Chen:
Augmented Negative Sampling for Collaborative Filtering. CoRR abs/2308.05972 (2023) - [i15]Ruixiang Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu:
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. CoRR abs/2310.18633 (2023) - 2022
- [j15]Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen, Xia Hu:
Auto-GNN: Neural architecture search of graph neural networks. Frontiers Big Data 5 (2022) - [c41]Chenrui Ma, Li Li, Rui Chen, Xi Li, Yichen Wang:
Time Interval Aware Collaborative Sequential Recommendation with Self-supervised Learning. APWeb/WAIM (3) 2022: 87-101 - [c40]Rui Chen, Dongxue Chen, Riwei Lai, Hongtao Song, Yichen Wang:
MISRec: Multi-Intention Sequential Recommendation. APWeb/WAIM (3) 2022: 191-198 - [c39]Chi Zhang, Yantong Du, Xiangyu Zhao, Qilong Han, Rui Chen, Li Li:
Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation. CIKM 2022: 2508-2518 - [c38]Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
An Information Fusion Approach to Learning with Instance-Dependent Label Noise. ICLR 2022 - [c37]Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu:
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression. ICLR 2022 - [c36]Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu:
Table2Graph: Transforming Tabular Data to Unified Weighted Graph. IJCAI 2022: 2420-2426 - [c35]Dan Lu, Rui Chen, Shanshan Sui, Qilong Han, Linglong Kong, Yichen Wang:
MTGnet: Multi-Task Spatiotemporal Graph Convolutional Networks for Air Quality Prediction. IJCNN 2022: 1-8 - [c34]Peng Tang, Rui Chen, Chongshi Jin, Gaoyuan Liu, Shanqing Guo:
Marginal Release Under Multi-party Personalized Differential Privacy. ECML/PKDD (4) 2022: 555-571 - [c33]Qilong Han, Chi Zhang, Rui Chen, Riwei Lai, Hongtao Song, Li Li:
Multi-Faceted Global Item Relation Learning for Session-Based Recommendation. SIGIR 2022: 1705-1715 - [c32]Riwei Lai, Shitong Xiao, Rui Chen, Li Chen, Qilong Han, Li Li:
Multiple Neighbor Relation Enhanced Graph Collaborative Filtering. WI/IAT 2022: 40-47 - [c31]Yongxin Ni, Ningxia Wang, Li Chen, Rui Chen, Lei Li:
TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations. WISE 2022: 553-563 - [i14]Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu:
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs. CoRR abs/2201.02534 (2022) - [i13]Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. CoRR abs/2212.12488 (2022) - [i12]Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi:
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising. CoRR abs/2212.12533 (2022) - 2021
- [j14]Peng Tang, Xiang Cheng, Sen Su, Rui Chen, Huaxi Shao:
Differentially Private Publication of Vertically Partitioned Data. IEEE Trans. Dependable Secur. Comput. 18(2): 780-795 (2021) - [j13]Yafei Li, Ji Wan, Rui Chen, Jianliang Xu, Xiaoyi Fu, Hongyan Gu, Pei Lv, Mingliang Xu:
Top-$k$k Vehicle Matching in Social Ridesharing: A Price-Aware Approach. IEEE Trans. Knowl. Data Eng. 33(3): 1251-1263 (2021) - [c30]Dan Lu, Le Wu, Rui Chen, Qilong Han, Yichen Wang, Yong Ge:
Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior. APWeb/WAIM (2) 2021: 384-398 - [c29]Peng Tang, Rui Chen, Sen Su, Shanqing Guo, Lei Ju, Gaoyuan Liu:
Differentially Private Publication of Multi-Party Sequential Data. ICDE 2021: 145-156 - [c28]Yafei Li, Hongyan Gu, Rui Chen, Jianliang Xu, Mingliang Xu:
Top-k Publish/Subscribe for Ride Hitching. ICDE 2021: 2291-2296 - [c27]Qilong Han, Dan Lu, Rui Chen:
Fine-Grained Air Quality Inference via Multi-Channel Attention Model. IJCAI 2021: 2512-2518 - [c26]Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu:
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. NeurIPS 2021: 21834-21846 - [i11]Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu:
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. CoRR abs/2107.02392 (2021) - [i10]Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu:
Adaptive Label Smoothing To Regularize Large-Scale Graph Training. CoRR abs/2108.13555 (2021) - 2020
- [j12]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
Micro- and macro-level churn analysis of large-scale mobile games. Knowl. Inf. Syst. 62(4): 1465-1496 (2020) - [j11]Xiang Cheng, Peng Tang, Sen Su, Rui Chen, Zequn Wu, Binyuan Zhu:
Multi-Party High-Dimensional Data Publishing Under Differential Privacy. IEEE Trans. Knowl. Data Eng. 32(8): 1557-1571 (2020) - [c25]Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi:
Explainable Recommender Systems via Resolving Learning Representations. CIKM 2020: 895-904 - [c24]Guang Shen, Riwei Lai, Rui Chen, Yu Zhang, Kejia Zhang, Qilong Han, Hongtao Song:
WISE: Word-Level Interaction-Based Multimodal Fusion for Speech Emotion Recognition. INTERSPEECH 2020: 369-373 - [c23]Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu:
Towards Deeper Graph Neural Networks with Differentiable Group Normalization. NeurIPS 2020 - [i9]Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen:
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning. CoRR abs/2001.09595 (2020) - [i8]Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu:
Towards Deeper Graph Neural Networks with Differentiable Group Normalization. CoRR abs/2006.06972 (2020) - [i7]Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi:
Explainable Recommender Systems via Resolving Learning Representations. CoRR abs/2008.09316 (2020) - [i6]Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu:
Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation. CoRR abs/2012.02476 (2020)
2010 – 2019
- 2019
- [c22]Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, Soo-Hyun Choi:
A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding. IEEE BigData 2019: 1887-1896 - [c21]Jianyu Yang, Xiang Cheng, Sen Su, Rui Chen, Qiyu Ren, Yuhan Liu:
Collecting Preference Rankings Under Local Differential Privacy. ICDE 2019: 1598-1601 - [c20]Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen:
Real-Time Streaming Graph Embedding Through Local Actions. WWW (Companion Volume) 2019: 285-293 - [i5]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games. CoRR abs/1901.06247 (2019) - 2018
- [c19]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. ICDM 2018: 277-286 - [i4]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. CoRR abs/1808.06573 (2018) - [i3]Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen:
Streaming Network Embedding through Local Actions. CoRR abs/1811.05932 (2018) - 2017
- [j10]Yafei Li, Rui Chen, Lei Chen, Jianliang Xu:
Towards Social-Aware Ridesharing Group Query Services. IEEE Trans. Serv. Comput. 10(4): 646-659 (2017) - 2016
- [c18]Sen Su, Peng Tang, Xiang Cheng, Rui Chen, Zequn Wu:
Differentially private multi-party high-dimensional data publishing. ICDE 2016: 205-216 - [c17]Rui Chen, Haoran Li, A. Kai Qin, Shiva Prasad Kasiviswanathan, Hongxia Jin:
Private spatial data aggregation in the local setting. ICDE 2016: 289-300 - [c16]Yafei Li, Rui Chen, Jianliang Xu, Qiao Huang, Haibo Hu, Byron Choi:
Geo-Social K-Cover Group queries for collaborative spatial computing. ICDE 2016: 1510-1511 - 2015
- [j9]Yafei Li, Rui Chen, Jianliang Xu, Qiao Huang, Haibo Hu, Byron Choi:
Geo-Social K-Cover Group Queries for Collaborative Spatial Computing. IEEE Trans. Knowl. Data Eng. 27(10): 2729-2742 (2015) - [c15]Noman Mohammed, Samira Barouti, Dima Alhadidi, Rui Chen:
Secure and Private Management of Healthcare Databases for Data Mining. CBMS 2015: 191-196 - [c14]Rui Chen, Yilin Shen, Hongxia Jin:
Private Analysis of Infinite Data Streams via Retroactive Grouping. CIKM 2015: 1061-1070 - [c13]Rui Chen, Qian Xiao, Yu Zhang, Jianliang Xu:
Differentially Private High-Dimensional Data Publication via Sampling-Based Inference. KDD 2015: 129-138 - [p1]Noman Mohammed, Shuang Wang, Rui Chen, Xiaoqian Jiang:
Private Genome Data Dissemination. Medical Data Privacy Handbook 2015: 443-461 - 2014
- [j8]Rashid Hussain Khokhar, Rui Chen, Benjamin C. M. Fung, Siu Man Lui:
Quantifying the costs and benefits of privacy-preserving health data publishing. J. Biomed. Informatics 50: 107-121 (2014) - [j7]Rui Chen, Yun Peng, Byron Choi, Jianliang Xu, Haibo Hu:
A private DNA motif finding algorithm. J. Biomed. Informatics 50: 122-132 (2014) - [j6]Shuang Wang, Noman Mohammed, Rui Chen:
Differentially private genome data dissemination through top-down specialization. BMC Medical Informatics Decis. Mak. 14(S-1): S2 (2014) - [j5]Rui Chen, Benjamin C. M. Fung, Philip S. Yu, Bipin C. Desai:
Correlated network data publication via differential privacy. VLDB J. 23(4): 653-676 (2014) - [c12]Qian Xiao, Rui Chen, Kian-Lee Tan:
Differentially private network data release via structural inference. KDD 2014: 911-920 - [c11]Xiaojian Zhang, Rui Chen, Jianliang Xu, Xiaofeng Meng, Yingtao Xie:
Towards Accurate Histogram Publication under Differential Privacy. SDM 2014: 587-595 - 2013
- [j4]Rui Chen, Benjamin C. M. Fung, Noman Mohammed, Bipin C. Desai, Ke Wang:
Privacy-preserving trajectory data publishing by local suppression. Inf. Sci. 231: 83-97 (2013) - [j3]Noman Mohammed, Xiaoqian Jiang, Rui Chen, Benjamin C. M. Fung, Lucila Ohno-Machado:
Privacy-preserving heterogeneous health data sharing. J. Am. Medical Informatics Assoc. 20(3): 462-469 (2013) - [c10]Xiaojian Zhang, Xiaofeng Meng, Rui Chen:
Differentially Private Set-Valued Data Release against Incremental Updates. DASFAA (1) 2013: 392-406 - 2012
- [c9]Rui Chen, Gergely Ács, Claude Castelluccia:
Differentially private sequential data publication via variable-length n-grams. CCS 2012: 638-649 - [c8]Luca Bonomi, Li Xiong, Rui Chen, Benjamin C. M. Fung:
Frequent grams based embedding for privacy preserving record linkage. CIKM 2012: 1597-1601 - [c7]Gergely Ács, Claude Castelluccia, Rui Chen:
Differentially Private Histogram Publishing through Lossy Compression. ICDM 2012: 1-10 - [c6]Rui Chen, Benjamin C. M. Fung, Bipin C. Desai, Nériah M. Sossou:
Differentially private transit data publication: a case study on the montreal transportation system. KDD 2012: 213-221 - [i2]Luca Bonomi, Li Xiong, Rui Chen, Benjamin C. M. Fung:
Privacy Preserving Record Linkage via grams Projections. CoRR abs/1208.2773 (2012) - 2011
- [j2]Rui Chen, Noman Mohammed, Benjamin C. M. Fung, Bipin C. Desai, Li Xiong:
Publishing Set-Valued Data via Differential Privacy. Proc. VLDB Endow. 4(11): 1087-1098 (2011) - [c5]KunSheng Zhao, Bipin C. Desai, Rui Chen, Min Huang, Ming Lu:
An online academic journal system for CINDI. C3S2E 2011: 145-150 - [c4]Noman Mohammed, Rui Chen, Benjamin C. M. Fung, Philip S. Yu:
Differentially private data release for data mining. KDD 2011: 493-501 - [i1]Rui Chen, Benjamin C. M. Fung, Bipin C. Desai:
Differentially Private Trajectory Data Publication. CoRR abs/1112.2020 (2011) - 2010
- [j1]Benjamin C. M. Fung, Ke Wang, Rui Chen, Philip S. Yu:
Privacy-preserving data publishing: A survey of recent developments. ACM Comput. Surv. 42(4): 14:1-14:53 (2010)
2000 – 2009
- 2009
- [c3]Rui Chen, Alirio Perez, Krishma Dutta, Bipin C. Desai:
CINDI: a digital library for academics. C3S2E 2009: 1-6 - 2008
- [c2]Rui Chen, Bipin C. Desai:
An enhanced web robot for the CINDI system. C3S2E 2008: 133-135 - 2007
- [c1]Rui Chen, Bipin C. Desai, Cong Zhou:
CINDI Robot: an Intelligent Web Crawler Based on Multi-level Inspection. IDEAS 2007: 93-101
Coauthor Index
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