CINDI Robot: an Intelligent Web Crawler Based on Multi-level Inspection. - Rui Chen 012; Bipin C. Desai; Cong Zhou (IDEAS, 2007)

An enhanced web robot for the CINDI system. - Rui Chen 012; Bipin C. Desai (C3S2E, 2008)

CINDI: a digital library for academics. - Rui Chen 012; Alirio Perez; Krishma Dutta; Bipin C. Desai (C3S2E, 2009)

Privacy-preserving data publishing: A survey of recent developments. - Benjamin C. M. Fung; Ke Wang 001; Rui Chen 012; Philip S. Yu (ACM Comput. Surv., 2010)

An online academic journal system for CINDI. - KunSheng Zhao; Bipin C. Desai; Rui Chen 012; Min Huang; Ming Lu (C3S2E, 2011)

Differentially private data release for data mining. - Noman Mohammed; Rui Chen 012; Benjamin C. M. Fung; Philip S. Yu (KDD, 2011)

Differentially Private Trajectory Data Publication - Rui Chen 012; Benjamin C. M. Fung; Bipin C. Desai (CoRR, 2011)

Publishing Set-Valued Data via Differential Privacy. - Rui Chen 012; Noman Mohammed; Benjamin C. M. Fung; Bipin C. Desai; Li Xiong 001 (Proc. VLDB Endow., 2011)

Differentially private sequential data publication via variable-length n-grams. - Rui Chen 012; Gergely Ács; Claude Castelluccia (CCS, 2012)

Frequent grams based embedding for privacy preserving record linkage. - Luca Bonomi; Li Xiong 001; Rui Chen 012; Benjamin C. M. Fung (CIKM, 2012)

Differentially Private Histogram Publishing through Lossy Compression. - Gergely Ács; Claude Castelluccia; Rui Chen 012 (ICDM, 2012)

Differentially private transit data publication: a case study on the montreal transportation system. - Rui Chen 012; Benjamin C. M. Fung; Bipin C. Desai; Nériah M. Sossou (KDD, 2012)

Privacy Preserving Record Linkage via grams Projections - Luca Bonomi; Li Xiong 001; Rui Chen 012; Benjamin C. M. Fung (CoRR, 2012)

Differentially Private Set-Valued Data Release against Incremental Updates. - Xiaojian Zhang; Xiaofeng Meng 001; Rui Chen 012 (DASFAA (1), 2013)

Privacy-preserving trajectory data publishing by local suppression. - Rui Chen 012; Benjamin C. M. Fung; Noman Mohammed; Bipin C. Desai; Ke Wang 001 (Inf. Sci., 2013)

Privacy-preserving heterogeneous health data sharing. - Noman Mohammed; Xiaoqian Jiang; Rui Chen 012; Benjamin C. M. Fung; Lucila Ohno-Machado (J. Am. Medical Informatics Assoc., 2013)

Differentially private network data release via structural inference. - Qian Xiao 002; Rui Chen 012; Kian-Lee Tan (KDD, 2014)

Towards Accurate Histogram Publication under Differential Privacy. - Xiaojian Zhang; Rui Chen 012; Jianliang Xu; Xiaofeng Meng 001; Yingtao Xie 002 (SDM, 2014)

A private DNA motif finding algorithm. - Rui Chen 012; Yun Peng 002; Byron Choi; Jianliang Xu; Haibo Hu 001 (J. Biomed. Informatics, 2014)

Quantifying the costs and benefits of privacy-preserving health data publishing. - Rashid Hussain Khokhar; Rui Chen 012; Benjamin C. M. Fung; Siu Man Lui (J. Biomed. Informatics, 2014)

Differentially private genome data dissemination through top-down specialization. - Shuang Wang 002; Noman Mohammed; Rui Chen 012 (BMC Medical Informatics Decis. Mak., 2014)

Correlated network data publication via differential privacy. - Rui Chen 012; Benjamin C. M. Fung; Philip S. Yu; Bipin C. Desai (VLDB J., 2014)

Private Genome Data Dissemination. - Noman Mohammed; Shuang Wang 002; Rui Chen 012; Xiaoqian Jiang (Medical Data Privacy Handbook, 2015)

Secure and Private Management of Healthcare Databases for Data Mining. - Noman Mohammed; Samira Barouti; Dima Alhadidi; Rui Chen 012 (CBMS, 2015)

Private Analysis of Infinite Data Streams via Retroactive Grouping. - Rui Chen 012; Yilin Shen; Hongxia Jin (CIKM, 2015)

Differentially Private High-Dimensional Data Publication via Sampling-Based Inference. - Rui Chen 012; Qian Xiao 002; Yu Zhang 006; Jianliang Xu (KDD, 2015)

Geo-Social K-Cover Group Queries for Collaborative Spatial Computing. - Yafei Li; Rui Chen 012; Jianliang Xu; Qiao Huang; Haibo Hu 001; Byron Choi (IEEE Trans. Knowl. Data Eng., 2015)

Private spatial data aggregation in the local setting. - Rui Chen 012; Haoran Li; A. Kai Qin; Shiva Prasad Kasiviswanathan; Hongxia Jin (ICDE, 2016)

Differentially private multi-party high-dimensional data publishing. - Sen Su; Peng Tang; Xiang Cheng 003; Rui Chen 012; Zequn Wu (ICDE, 2016)

Towards Social-Aware Ridesharing Group Query Services. - Yafei Li; Rui Chen 012; Lei Chen 031; Jianliang Xu (IEEE Trans. Serv. Comput., 2017)

A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. - Xi Liu 011; Muhe Xie; Xidao Wen; Rui Chen 012; Yong Ge; Nick Duffield; Na Wang (ICDM, 2018)

Streaming Network Embedding through Local Actions. - Xi Liu 011; Ping-Chun Hsieh; Nick Duffield; Rui Chen 012; Muhe Xie; Xidao Wen (CoRR, 2018)

A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding. - Xianshan Qu; Li Li 035; Xi Liu 011; Rui Chen 012; Yong Ge; Soo-Hyun Choi (IEEE BigData, 2019)

Collecting Preference Rankings Under Local Differential Privacy. - Jianyu Yang 003; Xiang Cheng 003; Sen Su; Rui Chen 012; Qiyu Ren; Yuhan Liu (ICDE, 2019)

Real-Time Streaming Graph Embedding Through Local Actions. - Xi Liu 011; Ping-Chun Hsieh; Nick Duffield; Rui Chen 012; Muhe Xie; Xidao Wen (WWW (Companion Volume), 2019)

Explainable Recommender Systems via Resolving Learning Representations. - Ninghao Liu; Yong Ge; Li Li 035; Xia Hu 001; Rui Chen 012; Soo-Hyun Choi (CIKM, 2020)

WISE: Word-Level Interaction-Based Multimodal Fusion for Speech Emotion Recognition. - Guang Shen; Riwei Lai; Rui Chen 012; Yu Zhang 006; Kejia Zhang 001; Qilong Han; Hongtao Song (INTERSPEECH, 2020)

Towards Deeper Graph Neural Networks with Differentiable Group Normalization. - Kaixiong Zhou; Xiao Huang 001; Yuening Li; Daochen Zha; Rui Chen 012; Xia Hu 001 (NeurIPS, 2020)

Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning. - Xi Liu 011; Li Li 035; Ping-Chun Hsieh; Muhe Xie; Yong Ge; Rui Chen 012 (CoRR, 2020)

Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation. - Yanan Wang 004; Yong Ge; Li Li 035; Rui Chen 012; Tong Xu 001 (CoRR, 2020)

Micro- and macro-level churn analysis of large-scale mobile games. - Xi Liu 011; Muhe Xie; Xidao Wen; Rui Chen 012; Yong Ge; Nick Duffield; Na Wang (Knowl. Inf. Syst., 2020)

Multi-Party High-Dimensional Data Publishing Under Differential Privacy. - Xiang Cheng 003; Peng Tang; Sen Su; Rui Chen 012; Zequn Wu; Binyuan Zhu (IEEE Trans. Knowl. Data Eng., 2020)

Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior. - Dan Lu 004; Le Wu; Rui Chen 012; Qilong Han; Yichen Wang; Yong Ge (APWeb/WAIM (2), 2021)

Top-k Publish/Subscribe for Ride Hitching. - Yafei Li; Hongyan Gu; Rui Chen 012; Jianliang Xu; Mingliang Xu 001 (ICDE, 2021)

Differentially Private Publication of Multi-Party Sequential Data. - Peng Tang; Rui Chen 012; Sen Su; Shanqing Guo; Lei Ju 001; Gaoyuan Liu (ICDE, 2021)

Fine-Grained Air Quality Inference via Multi-Channel Attention Model. - Qilong Han; Dan Lu 004; Rui Chen 012 (IJCAI, 2021)

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. - Kaixiong Zhou; Xiao Huang 001; Daochen Zha; Rui Chen 012; Li Li 035; Soo-Hyun Choi; Xia Hu 001 (NeurIPS, 2021)

Differentially Private Publication of Vertically Partitioned Data. - Peng Tang; Xiang Cheng 003; Sen Su; Rui Chen 012; Huaxi Shao (IEEE Trans. Dependable Secur. Comput., 2021)

Top-$k$k Vehicle Matching in Social Ridesharing: A Price-Aware Approach. - Yafei Li; Ji Wan; Rui Chen 012; Jianliang Xu; Xiaoyi Fu; Hongyan Gu; Pei Lv; Mingliang Xu 001 (IEEE Trans. Knowl. Data Eng., 2021)

MISRec: Multi-Intention Sequential Recommendation. - Rui Chen 012; Dongxue Chen; Riwei Lai; Hongtao Song; Yichen Wang (APWeb/WAIM (3), 2022)

Time Interval Aware Collaborative Sequential Recommendation with Self-supervised Learning. - Chenrui Ma; Li Li 035; Rui Chen 012; Xi Li; Yichen Wang (APWeb/WAIM (3), 2022)

Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation. - Chi Zhang 060; Yantong Du; Xiangyu Zhao 001; Qilong Han; Rui Chen 012; Li Li 035 (CIKM, 2022)

An Information Fusion Approach to Learning with Instance-Dependent Label Noise. - Zhimeng Jiang; Kaixiong Zhou; Zirui Liu 001; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (ICLR, 2022)

EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression. - Zirui Liu 001; Kaixiong Zhou; Fan Yang 023; Li Li 035; Rui Chen 012; Xia Hu 001 (ICLR, 2022)

Table2Graph: Transforming Tabular Data to Unified Weighted Graph. - Kaixiong Zhou; Zirui Liu 001; Rui Chen 012; Li Li 035; Soo-Hyun Choi; Xia Hu 001 (IJCAI, 2022)

MTGnet: Multi-Task Spatiotemporal Graph Convolutional Networks for Air Quality Prediction. - Dan Lu 004; Rui Chen 012; Shanshan Sui; Qilong Han; Linglong Kong; Yichen Wang (IJCNN, 2022)

Marginal Release Under Multi-party Personalized Differential Privacy. - Peng Tang; Rui Chen 012; Chongshi Jin; Gaoyuan Liu; Shanqing Guo (ECML/PKDD (4), 2022)

Multi-Faceted Global Item Relation Learning for Session-Based Recommendation. - Qilong Han; Chi Zhang 060; Rui Chen 012; Riwei Lai; Hongtao Song; Li Li 035 (SIGIR, 2022)

Multiple Neighbor Relation Enhanced Graph Collaborative Filtering. - Riwei Lai; Shitong Xiao; Rui Chen 012; Li Chen 009; Qilong Han; Li Li 035 (WI/IAT, 2022)

TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations. - Yongxin Ni; Ningxia Wang; Li Chen 009; Rui Chen 012; Lei Li 042 (WISE, 2022)

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs. - Qiaoyu Tan; Ninghao Liu; Xiao Huang 001; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (CoRR, 2022)

Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising. - Zhimeng Jiang; Kaixiong Zhou; Mi Zhang; Rui Chen 012; Xia Hu 001; Soo-Hyun Choi (CoRR, 2022)

Auto-GNN: Neural architecture search of graph neural networks. - Kaixiong Zhou; Xiao Huang 001; Qingquan Song; Rui Chen 012; Xia Hu 001 (Frontiers Big Data, 2022)

Towards Defending Against Byzantine LDP Amplified Gain Attacks. - Yukun Yan; Qingqing Ye 001; Haibo Hu 001; Rui Chen 012; Qilong Han; Leixia Wang (DASFAA (1), 2023)

Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation. - Qiaoyu Tan; Daochen Zha; Ninghao Liu; Soo-Hyun Choi; Li Li 035; Rui Chen 012; Xia Hu 001 (ICDM, 2023)

FEDEL: Frequency Enhanced Decomposition and Expansion Learning for Long-Term Time Series Forecasting. - Rui Chen 012; Wei Cui; Haitao Zhang; Qilong Han (ICONIP (8), 2023)

HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. - Rui Chen 012; Guotao Liang; Chenrui Ma; Qilong Han; Li Li 035; Xiao Huang 001 (IJCNN, 2023)

Proxy-Aware Cross-Domain Sequential Recommendation. - Shitong Xiao; Rui Chen 012; Qilong Han; Riwei Lai; Hongtao Song; Li Li 035 (IJCNN, 2023)

Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach. - Zhimeng Stephen Jiang; Xiaotian Han; Hongye Jin; Guanchu Wang; Rui Chen 012; Na Zou 001; Xia Hu 001 (NeurIPS, 2023)

Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. - Ruixiang (Ryan) Tang; Jiayi Yuan 001; Yiming Li; Zirui Liu 001; Rui Chen 012; Xia Hu 001 (NeurIPS, 2023)

Augmented Negative Sampling for Collaborative Filtering. - Yuhan Zhao 001; Rui Chen 012; Riwei Lai; Qilong Han; Hongtao Song; Li Chen 009 (RecSys, 2023)

Adaptive Label Smoothing To Regularize Large-Scale Graph Training. - Kaixiong Zhou; Soo-Hyun Choi; Zirui Liu 001; Ninghao Liu; Fan Yang 023; Rui Chen 012; Li Li 035; Xia Hu 001 (SDM, 2023)

Disentangled Negative Sampling for Collaborative Filtering. - Riwei Lai; Li Chen 009; Yuhan Zhao 001; Rui Chen 012; Qilong Han (WSDM, 2023)

S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. - Qiaoyu Tan; Ninghao Liu; Xiao Huang 001; Soo-Hyun Choi; Li Li 035; Rui Chen 012; Xia Hu 001 (WSDM, 2023)

Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. - Qiaoyu Tan; Xin Zhang 104; Ninghao Liu; Daochen Zha; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (WSDM, 2023)

Denoising and Prompt-Tuning for Multi-Behavior Recommendation. - Chi Zhang 060; Rui Chen 012; Xiangyu Zhao 001; Qilong Han; Li Li 035 (WWW, 2023)

Editable Graph Neural Network for Node Classifications. - Zirui Liu 001; Zhimeng Jiang; Shaochen Zhong; Kaixiong Zhou; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (CoRR, 2023)

Trajectory Data Collection with Local Differential Privacy. - Yuemin Zhang 001; Qingqing Ye 001; Rui Chen 012; Haibo Hu 001; Qilong Han (Proc. VLDB Endow., 2023)

Adaptive RiskAware Bidding with Budget Constraint in Display Advertising. - Zhimeng Jiang; Kaixiong Zhou; Mi Zhang; Rui Chen 012; Xia Hu 001; Soo-Hyun Choi (SIGKDD Explor., 2023)

DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification. - Zirui Liu 001; Kaixiong Zhou; Zhimeng Jiang; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (Trans. Mach. Learn. Res., 2023)

Efficient Top-k Matching for Publish/Subscribe Ride Hitching. - Yafei Li; Hongyan Gu; Rui Chen 012; Jianliang Xu; Shangwei Guo; Junxiao Xue; Mingliang Xu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Collecting Preference Rankings Under Local Differential Privacy. - Xiang Cheng 003; Jianyu Yang 003; Yufei Wang; Rui Chen 012; Sen Su; Yuejia Li (IEEE Trans. Knowl. Data Eng., 2023)

Multi-Party Sequential Data Publishing Under Differential Privacy. - Peng Tang; Rui Chen 012; Sen Su; Shanqing Guo; Lei Ju 001; Gaoyuan Liu (IEEE Trans. Knowl. Data Eng., 2023)

Adaptive Hardness Negative Sampling for Collaborative Filtering. - Riwei Lai; Rui Chen 012; Qilong Han; Chi Zhang 060; Li Chen 009 (AAAI, 2024)

Fairness-Aware Mutual Information for Multimodal Recommendation. - Dan Lu 004; Xu Chen; Rui Chen 012; Shiqing Wu 001; Guandong Xu (BESC, 2024)

DPC: Filtering Out Patch-Based Poisoned Samples with Differential Privacy. - Yukun Yan; Peng Tang; Rui Chen 012; Qilong Han; Ruochen Du (ESORICS (2), 2024)

SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. - Chi Zhang 060; Qilong Han; Rui Chen 012; Xiangyu Zhao 001; Peng Tang; Hongtao Song (ICDE, 2024)

Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data. - Yuhan Zhao 001; Rui Chen 012; Qilong Han; Hongtao Song; Li Chen 009 (RecSys, 2024)

LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. - Hongyi Liu; Shaochen (Henry) Zhong; Xintong Sun; Minghao Tian; Mohsen Hariri; Zirui Liu 001; Ruixiang Tang; Zhimeng Jiang; Jiayi Yuan 001; Yu-Neng Chuang; Li Li 035; Soo-Hyun Choi; et al. (CoRR, 2024)

PME: pruning-based multi-size embedding for recommender systems. - Zirui Liu 001; Qingquan Song; Li Li 035; Soo-Hyun Choi; Rui Chen 012; Xia Hu 001 (Frontiers Big Data, 2024)

M3Rec: A Context-Aware Offline Meta-Level Model-Based Reinforcement Learning Approach for Cold-Start Recommendation. - Yanan Wang 004; Yong Ge; Zhepeng Li; Li Li 035; Rui Chen 012 (ACM Trans. Inf. Syst., 2024)

From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking. - Yuhan Zhao 001; Rui Chen 012; Li Chen 009; Shuang Zhang; Qilong Han; Hongtao Song (AAAI, 2025)

ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks. - Jiamu Zhang; Jiayi Yuan 001; Andrew Wen; Hoang Anh Duy Le; Yu-Neng Chuang; Soo-Hyun Choi; Rui Chen 012; Xia Hu 001 (ACL (Findings), 2025)

Flexible Group Count Enables Hassle-Free Structured Pruning. - Jiamu Zhang; Shaochen Zhong; Andrew Ye; Zirui Liu 001; Sebastian Zhao; Kaixiong Zhou; Li Li 035; Soo-Hyun Choi; Rui Chen 012; Xia Hu 001; Shuai Xu; Vipin Chaudhary (CVPR, 2025)

Query Rewriting-Based View Generation for Efficient Multi-Relation Multi-Query with Differential Privacy. - Xinglin Du; Peng Tang; Rui Chen 012; Ning Wang 026; Chengyu Hu; Shanqing Guo (EDBT, 2025)

DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation. - Chi Zhang 060; Qilong Han; Qiaoyu Tan; Shengjie Wang 001; Xiangyu Zhao 001; Rui Chen 012 (KDD (1), 2025)

DAR: Dimension-Adaptive Recommendation with Multi-Granular Noise Control. - Riwei Lai; Li Chen 009; Rui Chen 012; Chi Zhang 060 (SIGIR, 2025)

Cross-domain recommendation via interest-aware pseudo-overlapping user alignment. - Shitong Xiao; Rui Chen 012; Hongtao Song; Qilong Han (Expert Syst. Appl., 2025)

Proxy-enhanced cross-domain sequential recommendation. - Shitong Xiao; Rui Chen 012; Hongtao Song; Riwei Lai; Qilong Han; Li Li 035 (Data Min. Knowl. Discov., 2025)

Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration. - Songyuan Sui; Hongyi Liu; Serena Liu; Li Li 035; Soo-Hyun Choi; Rui Chen 012; Xia Hu 001 (CoRR, 2025)

Greatmeta: gradient-aware adaptive meta-learning for cold-start recommendations. - Yantong Du; Rui Chen 012; Qilong Han; Qiaoyu Tan; Hongtao Song; Chi Zhang 060 (Data Min. Knowl. Discov., 2025)

Denoising and Augmented Negative Sampling for Collaborative Filtering. - Yuhan Zhao 001; Rui Chen 012; Riwei Lai; Qilong Han; Hongtao Song; Li Chen 009 (Trans. Recomm. Syst., 2025)