Rui Chen

125 papers A* 29A 13B 6C 1Journal 55Unranked 20
YearRankTypeTitle / Venue / Authors
2025 — conf
Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration.
IJCNLP-AACL (long papers)
Songyuan Sui, Hongyi Liu, Serena Liu, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
2025 J jnl
Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration.
CoRR
Songyuan Sui, Hongyi Liu, Serena Liu, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
2025 — conf
Continuous Sub-sequence Denoising For Sequential Recommendation.
BESC (1)
Siying Wang, Rui Chen, Dan Lu, Chi Zhang, Yantong Du, Qilong Han
2025 J jnl
Cross-Task Collaborative Meta-Learning for Cold-Start Recommendations.
IEEE Trans. Knowl. Data Eng.
Yantong Du, Rui Chen, Qiaoyu Tan, Qilong Han, Shenjie Wang, Xiangyu Zhao
2025 J jnl
Cross-domain recommendation via interest-aware pseudo-overlapping user alignment.
Expert Syst. Appl.
Shitong Xiao, Rui Chen, Hongtao Song, Qilong Han
2025 A* conf
DAR: Dimension-Adaptive Recommendation with Multi-Granular Noise Control.
SIGIR
Riwei Lai, Li Chen, Rui Chen, Chi Zhang
2025 J jnl
Denoising and Augmented Negative Sampling for Collaborative Filtering.
Trans. Recomm. Syst.
Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, Li Chen
2025 — conf
DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation.
KDD (1)
Chi Zhang, Qilong Han, Qiaoyu Tan, Shengjie Wang, Xiangyu Zhao, Rui Chen
2025 A* conf
Flexible Group Count Enables Hassle-Free Structured Pruning.
CVPR
Jiamu Zhang, Shaochen Zhong, Andrew Ye, Zirui Liu, Sebastian Zhao, Kaixiong Zhou, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu, Shuai Xu, Vipin Chaudhary
2025 A* conf
From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking.
AAAI
Yuhan Zhao, Rui Chen, Li Chen, Shuang Zhang, Qilong Han, Hongtao Song
2025 J jnl
Greatmeta: gradient-aware adaptive meta-learning for cold-start recommendations.
Data Min. Knowl. Discov.
Yantong Du, Rui Chen, Qilong Han, Qiaoyu Tan, Hongtao Song, Chi Zhang
2025 — conf
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.
EMNLP (Findings)
Hongyi Liu, Shaochen Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2025 A conf
PAnDA: Combating Negative Augmentation via Large Language Models for User Cold-Start Recommendations.
CIKM
Yantong Du, Rui Chen, Xiangyu Zhao, Qilong Han, A. K. Qin
2025 J jnl
Proxy-enhanced cross-domain sequential recommendation.
Data Min. Knowl. Discov.
Shitong Xiao, Rui Chen, Hongtao Song, Riwei Lai, Qilong Han, Li Li
2025 B conf
Query Rewriting-Based View Generation for Efficient Multi-Relation Multi-Query with Differential Privacy.
EDBT
Xinglin Du, Peng Tang, Rui Chen, Ning Wang, Chengyu Hu, Shanqing Guo
2025 — conf
ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks.
ACL (Findings)
Jiamu Zhang, Jiayi Yuan, Andrew Wen, Hoang Anh Duy Le, Yu-Neng Chuang, Soo-Hyun Choi, Rui Chen, Xia Hu
2024 A* conf
Adaptive Hardness Negative Sampling for Collaborative Filtering.
AAAI
Riwei Lai, Rui Chen, Qilong Han, Chi Zhang, Li Chen
2024 J jnl
Adaptive Hardness Negative Sampling for Collaborative Filtering.
CoRR
Riwei Lai, Rui Chen, Qilong Han, Chi Zhang, Li Chen
2024 — conf
DPC: Filtering Out Patch-Based Poisoned Samples with Differential Privacy.
ESORICS (2)
Yukun Yan, Peng Tang, Rui Chen, Qilong Han, Ruochen Du
2024 — conf
Fairness-Aware Mutual Information for Multimodal Recommendation.
BESC
Dan Lu, Xu Chen, Rui Chen, Shiqing Wu, Guandong Xu
2024 J jnl
From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking.
CoRR
Yuhan Zhao, Rui Chen, Li Chen, Shuang Zhang, Qilong Han, Hongtao Song
2024 J jnl
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.
CoRR
Hongyi Liu, Shaochen (Henry) Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2024 J jnl
M
ACM Trans. Inf. Syst.
Yanan Wang, Yong Ge, Zhepeng Li, Li Li, Rui Chen
2024 J jnl
Matryoshka Representation Learning for Recommendation.
CoRR
Riwei Lai, Li Chen, Weixin Chen, Rui Chen
2024 J jnl
PME: pruning-based multi-size embedding for recommender systems.
Frontiers Big Data
Zirui Liu, Qingquan Song, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
2024 A* conf
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation.
ICDE
Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song
2024 J jnl
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation.
CoRR
Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song
2024 A conf
Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data.
RecSys
Yuhan Zhao, Rui Chen, Qilong Han, Hongtao Song, Li Chen
2024 J jnl
Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data.
CoRR
Yuhan Zhao, Rui Chen, Qilong Han, Hongtao Song, Li Chen
2023 A conf
Adaptive Label Smoothing To Regularize Large-Scale Graph Training.
SDM
Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu
2023 J jnl
Adaptive RiskAware Bidding with Budget Constraint in Display Advertising.
SIGKDD Explor.
Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi
2023 A conf
Augmented Negative Sampling for Collaborative Filtering.
RecSys
Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, Li Chen
2023 J jnl
Augmented Negative Sampling for Collaborative Filtering.
CoRR
Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, Li Chen
2023 A conf
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection.
WSDM
Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023 A* conf
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach.
NeurIPS
Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu
2023 J jnl
Collecting Preference Rankings Under Local Differential Privacy.
IEEE Trans. Knowl. Data Eng.
Xiang Cheng, Jianyu Yang, Yufei Wang, Rui Chen, Sen Su, Yuejia Li
2023 J jnl
DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification.
Trans. Mach. Learn. Res.
Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023 A* conf
Denoising and Prompt-Tuning for Multi-Behavior Recommendation.
WWW
Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li
2023 J jnl
Denoising and Prompt-Tuning for Multi-Behavior Recommendation.
CoRR
Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li
2023 A conf
Disentangled Negative Sampling for Collaborative Filtering.
WSDM
Riwei Lai, Li Chen, Yuhan Zhao, Rui Chen, Qilong Han
2023 A* conf
Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation.
ICDM
Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
2023 J jnl
Editable Graph Neural Network for Node Classifications.
CoRR
Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023 J jnl
Efficient Top-k Matching for Publish/Subscribe Ride Hitching.
IEEE Trans. Knowl. Data Eng.
Yafei Li, Hongyan Gu, Rui Chen, Jianliang Xu, Shangwei Guo, Junxiao Xue, Mingliang Xu
2023 — conf
FEDEL: Frequency Enhanced Decomposition and Expansion Learning for Long-Term Time Series Forecasting.
ICONIP (8)
Rui Chen, Wei Cui, Haitao Zhang, Qilong Han
2023 B conf
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation.
IJCNN
Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang
2023 J jnl
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation.
CoRR
Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang
2023 J jnl
Multi-Party Sequential Data Publishing Under Differential Privacy.
IEEE Trans. Knowl. Data Eng.
Peng Tang, Rui Chen, Sen Su, Shanqing Guo, Lei Ju, Gaoyuan Liu
2023 B conf
Proxy-Aware Cross-Domain Sequential Recommendation.
IJCNN
Shitong Xiao, Rui Chen, Qilong Han, Riwei Lai, Hongtao Song, Li Li
2023 A conf
S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking.
WSDM
Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
2023 A* conf
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots.
NeurIPS
Ruixiang (Ryan) Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
2023 J jnl
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots.
CoRR
Ruixiang Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
2023 — conf
Towards Defending Against Byzantine LDP Amplified Gain Attacks.
DASFAA (1)
Yukun Yan, Qingqing Ye, Haibo Hu, Rui Chen, Qilong Han, Leixia Wang
2023 J jnl
Trajectory Data Collection with Local Differential Privacy.
CoRR
Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han
2023 J jnl
Trajectory Data Collection with Local Differential Privacy.
Proc. VLDB Endow.
Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han
2022 J jnl
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising.
CoRR
Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi
2022 A* conf
An Information Fusion Approach to Learning with Instance-Dependent Label Noise.
ICLR
Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2022 J jnl
Auto-GNN: Neural architecture search of graph neural networks.
Frontiers Big Data
Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen, Xia Hu
2022 J jnl
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection.
CoRR
Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2022 A* conf
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression.
ICLR
Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu
2022 A conf
Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation.
CIKM
Chi Zhang, Yantong Du, Xiangyu Zhao, Qilong Han, Rui Chen, Li Li
2022 J jnl
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs.
CoRR
Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu
2022 — conf
MISRec: Multi-Intention Sequential Recommendation.
APWeb/WAIM (3)
Rui Chen, Dongxue Chen, Riwei Lai, Hongtao Song, Yichen Wang
2022 B conf
MTGnet: Multi-Task Spatiotemporal Graph Convolutional Networks for Air Quality Prediction.
IJCNN
Dan Lu, Rui Chen, Shanshan Sui, Qilong Han, Linglong Kong, Yichen Wang
2022 — conf
Marginal Release Under Multi-party Personalized Differential Privacy.
ECML/PKDD (4)
Peng Tang, Rui Chen, Chongshi Jin, Gaoyuan Liu, Shanqing Guo
2022 A* conf
Multi-Faceted Global Item Relation Learning for Session-Based Recommendation.
SIGIR
Qilong Han, Chi Zhang, Rui Chen, Riwei Lai, Hongtao Song, Li Li
2022 — conf
Multiple Neighbor Relation Enhanced Graph Collaborative Filtering.
WI/IAT
Riwei Lai, Shitong Xiao, Rui Chen, Li Chen, Qilong Han, Li Li
2022 B conf
TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations.
WISE
Yongxin Ni, Ningxia Wang, Li Chen, Rui Chen, Lei Li
2022 A* conf
Table2Graph: Transforming Tabular Data to Unified Weighted Graph.
IJCAI
Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2022 — conf
Time Interval Aware Collaborative Sequential Recommendation with Self-supervised Learning.
APWeb/WAIM (3)
Chenrui Ma, Li Li, Rui Chen, Xi Li, Yichen Wang
2021 J jnl
Adaptive Label Smoothing To Regularize Large-Scale Graph Training.
CoRR
Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021 A* conf
Differentially Private Publication of Multi-Party Sequential Data.
ICDE
Peng Tang, Rui Chen, Sen Su, Shanqing Guo, Lei Ju, Gaoyuan Liu
2021 J jnl
Differentially Private Publication of Vertically Partitioned Data.
IEEE Trans. Dependable Secur. Comput.
Peng Tang, Xiang Cheng, Sen Su, Rui Chen, Huaxi Shao
2021 A* conf
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.
NeurIPS
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021 J jnl
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.
CoRR
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021 A* conf
Fine-Grained Air Quality Inference via Multi-Channel Attention Model.
IJCAI
Qilong Han, Dan Lu, Rui Chen
2021 — conf
Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior.
APWeb/WAIM (2)
Dan Lu, Le Wu, Rui Chen, Qilong Han, Yichen Wang, Yong Ge
2021 J jnl
Top-$k$k Vehicle Matching in Social Ridesharing: A Price-Aware Approach.
IEEE Trans. Knowl. Data Eng.
Yafei Li, Ji Wan, Rui Chen, Jianliang Xu, Xiaoyi Fu, Hongyan Gu, Pei Lv, Mingliang Xu
2021 A* conf
Top-k Publish/Subscribe for Ride Hitching.
ICDE
Yafei Li, Hongyan Gu, Rui Chen, Jianliang Xu, Mingliang Xu
2020 J jnl
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning.
CoRR
Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen
2020 A conf
Explainable Recommender Systems via Resolving Learning Representations.
CIKM
Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
2020 J jnl
Explainable Recommender Systems via Resolving Learning Representations.
CoRR
Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
2020 J jnl
Micro- and macro-level churn analysis of large-scale mobile games.
Knowl. Inf. Syst.
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
2020 J jnl
Multi-Party High-Dimensional Data Publishing Under Differential Privacy.
IEEE Trans. Knowl. Data Eng.
Xiang Cheng, Peng Tang, Sen Su, Rui Chen, Zequn Wu, Binyuan Zhu
2020 J jnl
Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation.
CoRR
Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu
2020 A* conf
Towards Deeper Graph Neural Networks with Differentiable Group Normalization.
NeurIPS
Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
2020 J jnl
Towards Deeper Graph Neural Networks with Differentiable Group Normalization.
CoRR
Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
2020 A conf
WISE: Word-Level Interaction-Based Multimodal Fusion for Speech Emotion Recognition.
INTERSPEECH
Guang Shen, Riwei Lai, Rui Chen, Yu Zhang, Kejia Zhang, Qilong Han, Hongtao Song
2019 — conf
A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding.
IEEE BigData
Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, Soo-Hyun Choi
2019 A* conf
Collecting Preference Rankings Under Local Differential Privacy.
ICDE
Jianyu Yang, Xiang Cheng, Sen Su, Rui Chen, Qiyu Ren, Yuhan Liu
2019 J jnl
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games.
CoRR
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
2019 — conf
Real-Time Streaming Graph Embedding Through Local Actions.
WWW (Companion Volume)
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
2018 A* conf
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games.
ICDM
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
2018 J jnl
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games.
CoRR
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
2018 J jnl
Streaming Network Embedding through Local Actions.
CoRR
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
2017 J jnl
Towards Social-Aware Ridesharing Group Query Services.
IEEE Trans. Serv. Comput.
Yafei Li, Rui Chen, Lei Chen, Jianliang Xu
2016 A* conf
Differentially private multi-party high-dimensional data publishing.
ICDE
Sen Su, Peng Tang, Xiang Cheng, Rui Chen, Zequn Wu
2016 A* conf
Geo-Social K-Cover Group queries for collaborative spatial computing.
ICDE
Yafei Li, Rui Chen, Jianliang Xu, Qiao Huang, Haibo Hu, Byron Choi
2016 A* conf
Private spatial data aggregation in the local setting.
ICDE
Rui Chen, Haoran Li, A. K. Qin, Shiva Prasad Kasiviswanathan, Hongxia Jin
2015 A* conf
Differentially Private High-Dimensional Data Publication via Sampling-Based Inference.
KDD
Rui Chen, Qian Xiao, Yu Zhang, Jianliang Xu
2015 J jnl
Geo-Social K-Cover Group Queries for Collaborative Spatial Computing.
IEEE Trans. Knowl. Data Eng.
Yafei Li, Rui Chen, Jianliang Xu, Qiao Huang, Haibo Hu, Byron Choi
2015 A conf
Private Analysis of Infinite Data Streams via Retroactive Grouping.
CIKM
Rui Chen, Yilin Shen, Hongxia Jin
2015 — ch.
Private Genome Data Dissemination.
Medical Data Privacy Handbook
Noman Mohammed, Shuang Wang, Rui Chen, Xiaoqian Jiang
2015 B conf
Secure and Private Management of Healthcare Databases for Data Mining.
CBMS
Noman Mohammed, Samira Barouti, Dima Alhadidi, Rui Chen
2014 J jnl
A private DNA motif finding algorithm.
J. Biomed. Informatics
Rui Chen, Yun Peng, Byron Choi, Jianliang Xu, Haibo Hu
2014 J jnl
Correlated network data publication via differential privacy.
VLDB J.
Rui Chen, Benjamin C. M. Fung, Philip S. Yu, Bipin C. Desai
2014 J jnl
Differentially private genome data dissemination through top-down specialization.
BMC Medical Informatics Decis. Mak.
Shuang Wang, Noman Mohammed, Rui Chen
2014 A* conf
Differentially private network data release via structural inference.
KDD
Qian Xiao, Rui Chen, Kian-Lee Tan
2014 J jnl
Quantifying the costs and benefits of privacy-preserving health data publishing.
J. Biomed. Informatics
Rashid Hussain Khokhar, Rui Chen, Benjamin C. M. Fung, Siu Man Lui
2014 A conf
Towards Accurate Histogram Publication under Differential Privacy.
SDM
Xiaojian Zhang, Rui Chen, Jianliang Xu, Xiaofeng Meng, Yingtao Xie
2013 — conf
Differentially Private Set-Valued Data Release against Incremental Updates.
DASFAA (1)
Xiaojian Zhang, Xiaofeng Meng, Rui Chen
2013 J jnl
Privacy-preserving heterogeneous health data sharing.
J. Am. Medical Informatics Assoc.
Noman Mohammed, Xiaoqian Jiang, Rui Chen, Benjamin C. M. Fung, Lucila Ohno-Machado
2013 J jnl
Privacy-preserving trajectory data publishing by local suppression.
Inf. Sci.
Rui Chen, Benjamin C. M. Fung, Noman Mohammed, Bipin C. Desai, Ke Wang
2012 A* conf
Differentially Private Histogram Publishing through Lossy Compression.
ICDM
Gergely Ács, Claude Castelluccia, Rui Chen
2012 A* conf
Differentially private sequential data publication via variable-length n-grams.
CCS
Rui Chen, Gergely Ács, Claude Castelluccia
2012 A* conf
Differentially private transit data publication: a case study on the montreal transportation system.
KDD
Rui Chen, Benjamin C. M. Fung, Bipin C. Desai, Nériah M. Sossou
2012 A conf
Frequent grams based embedding for privacy preserving record linkage.
CIKM
Luca Bonomi, Li Xiong, Rui Chen, Benjamin C. M. Fung
2012 J jnl
Privacy Preserving Record Linkage via grams Projections
CoRR
Luca Bonomi, Li Xiong, Rui Chen, Benjamin C. M. Fung
2011 — conf
An online academic journal system for CINDI.
C3S2E
KunSheng Zhao, Bipin C. Desai, Rui Chen, Min Huang, Ming Lu
2011 J jnl
Differentially Private Trajectory Data Publication
CoRR
Rui Chen, Benjamin C. M. Fung, Bipin C. Desai
2011 A* conf
Differentially private data release for data mining.
KDD
Noman Mohammed, Rui Chen, Benjamin C. M. Fung, Philip S. Yu
2011 J jnl
Publishing Set-Valued Data via Differential Privacy.
Proc. VLDB Endow.
Rui Chen, Noman Mohammed, Benjamin C. M. Fung, Bipin C. Desai, Li Xiong
2010 J jnl
Privacy-preserving data publishing: A survey of recent developments.
ACM Comput. Surv.
Benjamin C. M. Fung, Ke Wang, Rui Chen, Philip S. Yu
2009 — conf
CINDI: a digital library for academics.
C3S2E
Rui Chen, Alirio Perez, Krishma Dutta, Bipin C. Desai
2008 — conf
An enhanced web robot for the CINDI system.
C3S2E
Rui Chen, Bipin C. Desai
2007 C conf
CINDI Robot: an Intelligent Web Crawler Based on Multi-level Inspection.
IDEAS
Rui Chen, Bipin C. Desai, Cong Zhou