Rui Chen

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 37

Top Topics

Differential Privacy

Graph Embedding

Top Venues

IEEE Trans. Knowl. Data Eng.

J. Biomed. Informatics

Publications

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)
Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. CoRR (2024)
Riwei Lai, Rui Chen, Qilong Han, Chi Zhang, Li Chen
Adaptive Hardness Negative Sampling for Collaborative Filtering. AAAI (2024)
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 (2024)
Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. ICDE (2024)
Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, Li Chen
Augmented Negative Sampling for Collaborative Filtering. RecSys (2023)
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)
Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han
Trajectory Data Collection with Local Differential Privacy. CoRR (2023)
Shitong Xiao, Rui Chen, Qilong Han, Riwei Lai, Hongtao Song, Li Li
Proxy-Aware Cross-Domain Sequential Recommendation. IJCNN (2023)
Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. IJCNN (2023)
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)
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)
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)
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)
Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han
Trajectory Data Collection with Local Differential Privacy. Proc. VLDB Endow. 16 (10) (2023)
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) (2023)
Yukun Yan, Qingqing Ye, Haibo Hu, Rui Chen, Qilong Han, Leixia Wang
Towards Defending Against Byzantine LDP Amplified Gain Attacks. DASFAA (1) (2023)
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)
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) (2023)
Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li
Denoising and Prompt-Tuning for Multi-Behavior Recommendation. WWW (2023)
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) (2023)
Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. CoRR (2023)
Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
Table2Graph: Transforming Tabular Data to Unified Weighted Graph. IJCAI (2022)
Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen, Xia Hu
Auto-GNN: Neural architecture search of graph neural networks. Frontiers Big Data 5 (2022)
Riwei Lai, Shitong Xiao, Rui Chen, Li Chen, Qilong Han, Li Li
Multiple Neighbor Relation Enhanced Graph Collaborative Filtering. WI/IAT (2022)
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)
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) (2020)
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 (2020)
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)
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)
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 (2019)
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)
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
Streaming Network Embedding through Local Actions. CoRR (2018)
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 (2018)
Yafei Li, Rui Chen, Lei Chen, Jianliang Xu
Towards Social-Aware Ridesharing Group Query Services. IEEE Trans. Serv. Comput. 10 (4) (2017)
Yafei Li, Rui Chen, Jianliang Xu, Qiao Huang, Haibo Hu, Byron Choi
Geo-Social K-Cover Group queries for collaborative spatial computing. ICDE (2016)
Rui Chen, Haoran Li, A. Kai Qin, Shiva Prasad Kasiviswanathan, Hongxia Jin
Private spatial data aggregation in the local setting. ICDE (2016)
Noman Mohammed, Samira Barouti, Dima Alhadidi, Rui Chen
Secure and Private Management of Healthcare Databases for Data Mining. CBMS (2015)
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) (2015)
Rui Chen, Qian Xiao, Yu Zhang, Jianliang Xu
Differentially Private High-Dimensional Data Publication via Sampling-Based Inference. KDD (2015)
Shuang Wang, Noman Mohammed, Rui Chen
Differentially private genome data dissemination through top-down specialization. BMC Medical Informatics Decis. Mak. 14 (S-1) (2014)
Rui Chen, Benjamin C. M. Fung, Philip S. Yu, Bipin C. Desai
Correlated network data publication via differential privacy. VLDB J. 23 (4) (2014)
Rui Chen, Yun Peng, Byron Choi, Jianliang Xu, Haibo Hu
A private DNA motif finding algorithm. J. Biomed. Informatics 50 (2014)
Xiaojian Zhang, Rui Chen, Jianliang Xu, Xiaofeng Meng, Yingtao Xie
Towards Accurate Histogram Publication under Differential Privacy. SDM (2014)
Qian Xiao, Rui Chen, Kian-Lee Tan
Differentially private network data release via structural inference. KDD (2014)
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 (2014)
Xiaojian Zhang, Xiaofeng Meng, Rui Chen
Differentially Private Set-Valued Data Release against Incremental Updates. DASFAA (1) (2013)
Rui Chen, Benjamin C. M. Fung, Noman Mohammed, Bipin C. Desai, Ke Wang
Privacy-preserving trajectory data publishing by local suppression. Inf. Sci. 231 (2013)
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) (2013)
Rui Chen, Gergely Ács, Claude Castelluccia
Differentially private sequential data publication via variable-length n-grams. CCS (2012)
Luca Bonomi, Li Xiong, Rui Chen, Benjamin C. M. Fung
Frequent grams based embedding for privacy preserving record linkage. CIKM (2012)
Luca Bonomi, Li Xiong, Rui Chen, Benjamin C. M. Fung
Privacy Preserving Record Linkage via grams Projections CoRR (2012)
Gergely Ács, Claude Castelluccia, Rui Chen
Differentially Private Histogram Publishing through Lossy Compression. ICDM (2012)
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)
Rui Chen, Benjamin C. M. Fung, Bipin C. Desai
Differentially Private Trajectory Data Publication CoRR (2011)
KunSheng Zhao, Bipin C. Desai, Rui Chen, Min Huang, Ming Lu
An online academic journal system for CINDI. C3S2E (2011)
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) (2011)
Noman Mohammed, Rui Chen, Benjamin C. M. Fung, Philip S. Yu
Differentially private data release for data mining. KDD (2011)
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) (2010)
Rui Chen, Alirio Perez, Krishma Dutta, Bipin C. Desai
CINDI: a digital library for academics. C3S2E (2009)
Rui Chen, Bipin C. Desai
An enhanced web robot for the CINDI system. C3S2E (2008)
Rui Chen, Bipin C. Desai, Cong Zhou
CINDI Robot: an Intelligent Web Crawler Based on Multi-level Inspection. IDEAS (2007)