Rui Chen

Orcid: 0000-0002-3853-6308

Affiliations:
  • Harbin Engineering University, College of Computer Science and Technology, China
  • Samsung Research America, Mountain View, CA, USA
  • Hong Kong Baptist University, Department of Computer Science, Hong Kong
  • University of British Columbia, Department of Computer Science, Vancouver, Canada
  • Concordia University, Department of Computer Science and Software Engineering, Montreal, Canada (PhD 2012)


According to our database1, Rui Chen authored at least 81 papers between 2007 and 2024.

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Timeline

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Bibliography

2024
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation.
CoRR, 2024

Adaptive Hardness Negative Sampling for Collaborative Filtering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-Party Sequential Data Publishing Under Differential Privacy.
IEEE Trans. Knowl. Data Eng., September, 2023

Collecting Preference Rankings Under Local Differential Privacy.
IEEE Trans. Knowl. Data Eng., July, 2023

Efficient Top-k Matching for Publish/Subscribe Ride Hitching.
IEEE Trans. Knowl. Data Eng., April, 2023

Adaptive RiskAware Bidding with Budget Constraint in Display Advertising.
SIGKDD Explor., 2023

Trajectory Data Collection with Local Differential Privacy.
Proc. VLDB Endow., 2023

Editable Graph Neural Network for Node Classifications.
CoRR, 2023

Denoising and Prompt-Tuning for Multi-Behavior Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Disentangled Negative Sampling for Collaborative Filtering.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Adaptive Label Smoothing To Regularize Large-Scale Graph Training.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Augmented Negative Sampling for Collaborative Filtering.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Proxy-Aware Cross-Domain Sequential Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2023

HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Towards Defending Against Byzantine LDP Amplified Gain Attacks.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
Auto-GNN: Neural architecture search of graph neural networks.
Frontiers Big Data, 2022

Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising.
CoRR, 2022

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs.
CoRR, 2022

Multiple Neighbor Relation Enhanced Graph Collaborative Filtering.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Multi-Faceted Global Item Relation Learning for Session-Based Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Marginal Release Under Multi-party Personalized Differential Privacy.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

MTGnet: Multi-Task Spatiotemporal Graph Convolutional Networks for Air Quality Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

Table2Graph: Transforming Tabular Data to Unified Weighted Graph.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression.
Proceedings of the Tenth International Conference on Learning Representations, 2022

An Information Fusion Approach to Learning with Instance-Dependent Label Noise.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Time Interval Aware Collaborative Sequential Recommendation with Self-supervised Learning.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

MISRec: Multi-Intention Sequential Recommendation.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
Top-$k$k Vehicle Matching in Social Ridesharing: A Price-Aware Approach.
IEEE Trans. Knowl. Data Eng., 2021

Differentially Private Publication of Vertically Partitioned Data.
IEEE Trans. Dependable Secur. Comput., 2021

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fine-Grained Air Quality Inference via Multi-Channel Attention Model.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Differentially Private Publication of Multi-Party Sequential Data.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Top-k Publish/Subscribe for Ride Hitching.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020
Multi-Party High-Dimensional Data Publishing Under Differential Privacy.
IEEE Trans. Knowl. Data Eng., 2020

Micro- and macro-level churn analysis of large-scale mobile games.
Knowl. Inf. Syst., 2020

Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation.
CoRR, 2020

Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning.
CoRR, 2020

Towards Deeper Graph Neural Networks with Differentiable Group Normalization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

WISE: Word-Level Interaction-Based Multimodal Fusion for Speech Emotion Recognition.
Proceedings of the Interspeech 2020, 2020

Explainable Recommender Systems via Resolving Learning Representations.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Real-Time Streaming Graph Embedding Through Local Actions.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Collecting Preference Rankings Under Local Differential Privacy.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Streaming Network Embedding through Local Actions.
CoRR, 2018

A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Towards Social-Aware Ridesharing Group Query Services.
IEEE Trans. Serv. Comput., 2017

2016
Differentially private multi-party high-dimensional data publishing.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Private spatial data aggregation in the local setting.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015
Geo-Social K-Cover Group Queries for Collaborative Spatial Computing.
IEEE Trans. Knowl. Data Eng., 2015

Differentially Private High-Dimensional Data Publication via Sampling-Based Inference.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Private Analysis of Infinite Data Streams via Retroactive Grouping.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Secure and Private Management of Healthcare Databases for Data Mining.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

Private Genome Data Dissemination.
Proceedings of the Medical Data Privacy Handbook, 2015

2014
Correlated network data publication via differential privacy.
VLDB J., 2014

Differentially private genome data dissemination through top-down specialization.
BMC Medical Informatics Decis. Mak., 2014

Quantifying the costs and benefits of privacy-preserving health data publishing.
J. Biomed. Informatics, 2014

A private DNA motif finding algorithm.
J. Biomed. Informatics, 2014

Towards Accurate Histogram Publication under Differential Privacy.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Differentially private network data release via structural inference.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Privacy-preserving heterogeneous health data sharing.
J. Am. Medical Informatics Assoc., 2013

Privacy-preserving trajectory data publishing by local suppression.
Inf. Sci., 2013

Differentially Private Set-Valued Data Release against Incremental Updates.
Proceedings of the Database Systems for Advanced Applications, 2013

2012
Privacy Preserving Record Linkage via grams Projections
CoRR, 2012

Differentially private transit data publication: a case study on the montreal transportation system.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Differentially Private Histogram Publishing through Lossy Compression.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Frequent grams based embedding for privacy preserving record linkage.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Differentially private sequential data publication via variable-length n-grams.
Proceedings of the ACM Conference on Computer and Communications Security, 2012

2011
Publishing Set-Valued Data via Differential Privacy.
Proc. VLDB Endow., 2011

Differentially Private Trajectory Data Publication
CoRR, 2011

Differentially private data release for data mining.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

An online academic journal system for CINDI.
Proceedings of the Fourth International C* Conference on Computer Science & Software Engineering, 2011

2010
Privacy-preserving data publishing: A survey of recent developments.
ACM Comput. Surv., 2010

2009
CINDI: a digital library for academics.
Proceedings of the Canadian Conference on Computer Science & Software Engineering, 2009

2008
An enhanced web robot for the CINDI system.
Proceedings of the Canadian Conference on Computer Science & Software Engineering, 2008

2007
CINDI Robot: an Intelligent Web Crawler Based on Multi-level Inspection.
Proceedings of the Eleventh International Database Engineering and Applications Symposium (IDEAS 2007), 2007


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