The Density Connectivity Information Bottleneck. - Yongli Ren; Yangdong Ye; Gang Li 009 (ICYCS, 2008)

The Density-Based Agglomerative Information Bottleneck. - Yongli Ren; Yangdong Ye; Gang Li 009 (PRICAI, 2008)

Monetising User Generated Content Using Data Mining Techniques. - Yu-Hsn Liu; Yongli Ren; Robert Dew (AusDM, 2009)

Clustering Interval-valued Data Using an Overlapped Interval Divergence. - Yongli Ren; Yu-Hsn Liu; Jia Rong; Robert Dew (AusDM, 2009)

Journal ranking based on social information. - Jinlong Wang; Ke Gao; Yongli Ren; Gang Li 009 (JCDL, 2009)

Using local density information to improve IB algorithms. - Yangdong Ye; Yongli Ren; Gang Li 009 (Pattern Recognit. Lett., 2011)

Learning Rating Patterns for Top-N Recommendations. - Yongli Ren; Gang Li 009; Wanlei Zhou 001 (ASONAM, 2012)

The efficient imputation method for neighborhood-based collaborative filtering. - Yongli Ren; Gang Li 009; Jun Zhang 010; Wanlei Zhou 001 (CIKM, 2012)

Improving Top-N Recommendations with User Consuming Profiles. - Yongli Ren; Gang Li 009; Wanlei Zhou 001 (PRICAI, 2012)

Learning User Preference Patterns for Top-N Recommendations. - Yongli Ren; Gang Li 009; Wanlei Zhou 001 (Web Intelligence, 2012)

Identifying Microphone from Noisy Recordings by Using Representative Instance One Class-Classification Approach. - Huy Quan Vu; Shaowu Liu; Xinghua Yang; Zhi Li 021; Yongli Ren (J. Networks, 2012)

AdaM: adaptive-maximum imputation for neighborhood-based collaborative filtering. - Yongli Ren; Gang Li 009; Jun Zhang 010; Wanlei Zhou 001 (ASONAM, 2013)

Differential privacy for neighborhood-based collaborative filtering. - Tianqing Zhu; Gang Li 009; Yongli Ren; Wanlei Zhou 001; Ping Xiong 001 (ASONAM, 2013)

Top-N Recommendations by Learning User Preference Dynamics. - Yongli Ren; Tianqing Zhu; Gang Li 009; Wanlei Zhou 001 (PAKDD (2), 2013)

Recommendation Techniques Based on Off-Line Data Processing a Multifaceted Survey. - Yongli Ren; Gang Li 009; Wanlei Zhou 001 (SKG, 2013)

Privacy Preserving for Tagging Recommender Systems. - Tianqing Zhu; Gang Li 009; Yongli Ren; Wanlei Zhou 001; Ping Xiong 001 (Web Intelligence, 2013)

SelfTrust: leveraging self-assessment for trust inference in Internetware. - Yuan Yao 001; Feng Xu 007; Yongli Ren; Hanghang Tong; Jian Lü 001 (Sci. China Inf. Sci., 2013)

A learning method for Top-N recommendations with incomplete data. - Yongli Ren; Gang Li 009; Wanlei Zhou 001 (Soc. Netw. Anal. Min., 2013)

Lazy Collaborative Filtering for Data Sets With Missing Values. - Yongli Ren; Gang Li 009; Jun Zhang 010; Wanlei Zhou 001 (IEEE Trans. Cybern., 2013)

How People Use the Web in Large Indoor Spaces. - Yongli Ren; Martin Tomko; Kevin Ong; Mark Sanderson (CIKM, 2014)

A new approach for indoor customer tracking based on a single Wi-Fi connection. - Yuntian Brian Bai; Suqin Wu; Yongli Ren; Kevin Ong; Günther Retscher; Allison Kealy; Martin Tomko; Mark Sanderson; Hong Ren Wu; Kefei Zhang (IPIN, 2014)

An effective privacy preserving algorithm for neighborhood-based collaborative filtering. - Tianqing Zhu; Yongli Ren; Wanlei Zhou 001; Jia Rong; Ping Xiong 001 (Future Gener. Comput. Syst., 2014)

The maximum imputation framework for neighborhood-based collaborative filtering. - Yongli Ren; Gang Li 009; Jun Zhang 010; Wanlei Zhou 001 (Soc. Netw. Anal. Min., 2014)

Privacy preserving collaborative filtering for KNN attack resisting. - Tianqing Zhu; Gang Li 009; Lei Pan 002; Yongli Ren; Wanlei Zhou 001 (Soc. Netw. Anal. Min., 2014)

Modelling personal preferences for Top-N movie recommendations. - Yongli Ren; Gang Li 009; Wanlei Zhou 001 (Web Intell. Agent Syst., 2014)

A survey of recommendation techniques based on offline data processing. - Yongli Ren; Gang Li 009; Wanlei Zhou 001 (Concurr. Comput. Pract. Exp., 2015)

Privacy preserving data release for tagging recommender systems. - Tianqing Zhu; Gang Li 009; Yongli Ren; Wanlei Zhou 001; Ping Xiong 001 (Web Intell., 2015)

Change Detection from Media Sharing Community. - Naoki Kito; Xiangmin Zhou; Dong Qin; Yongli Ren; Xiuzhen Zhang 001; James A. Thom (APWeb/WAIM (1), 2017)

Full trajectory prediction: what will you do the rest of the day? - Amin Sadri; Flora Dilys Salim; Yongli Ren (UbiComp/ISWC Adjunct, 2017)

Understanding User Behavior in Job and Talent Search: An Initial Investigation. - Damiano Spina; Maria Maistro; Yongli Ren; Sargol Sadeghi; Wilson Wong; Timothy Baldwin; Lawrence Cavedon; Alistair Moffat; Mark Sanderson; Falk Scholer; Justin Zobel (eCOM@SIGIR, 2017)

Shrink: Distance preserving graph compression. - Amin Sadri; Flora D. Salim; Yongli Ren; Masoomeh Zameni; Jeffrey Chan; Timos Sellis (Inf. Syst., 2017)

Analyzing Web behavior in indoor retail spaces. - Yongli Ren; Martin Tomko; Flora Dilys Salim; Kevin Ong; Mark Sanderson (J. Assoc. Inf. Sci. Technol., 2017)

D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate. - Yongli Ren; Flora Dilys Salim; Martin Tomko; Yuntian Brian Bai; Jeffrey Chan; Kyle Kai Qin; Mark Sanderson (Pervasive Mob. Comput., 2017)

Information gain-based metric for recognizing transitions in human activities. - Amin Sadri; Yongli Ren; Flora D. Salim (Pervasive Mob. Comput., 2017)

A Temporal Clustering Approach for Social Recommender Systems. - Sajad Ahmadian; Nima Joorabloo; Mahdi Jalili; Majid Meghdadi; Mohsen Afsharchi; Yongli Ren (ASONAM, 2018)

D-CARS: A Declarative Context-Aware Recommender System. - Rosni Lumbantoruan; Xiangmin Zhou; Yongli Ren; Zhifeng Bao (ICDM, 2018)

A Preliminary Comparison of Job, Talent, and Web Search. - Damiano Spina; Maria Maistro; Yongli Ren; Sargol Sadeghi; Wilson Wong; Timothy Baldwin; Lawrence Cavedon; Alistair Moffat; Mark Sanderson; Falk Scholer; Justin Zobel (IIR, 2018)

Contextual Location Imputation for Confined WiFi Trajectories. - Elham Naghizade; Jeffrey Chan; Yongli Ren; Martin Tomko (PAKDD (2), 2018)

Identifying In-App User Actions from Mobile Web Logs. - Bilih Priyogi; Mark Sanderson; Flora D. Salim; Jeffrey Chan; Martin Tomko; Yongli Ren (PAKDD (2), 2018)

Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs. - Manpreet Kaur; Flora D. Salim; Yongli Ren; Jeffrey Chan; Martin Tomko; Mark Sanderson (BuildSys, 2018)

Wait Time Prediction for Airport Taxis Using Weighted Nearest Neighbor Regression. - Mohammad Saiedur Rahaman; Yongli Ren; Margaret Hamilton 001; Flora D. Salim (IEEE Access, 2018)

Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces. - Yongli Ren; Martin Tomko; Flora D. Salim; Jeffrey Chan; Mark Sanderson (EPJ Data Sci., 2018)

MSIM: A change detection framework for damage assessment in natural disasters. - Dong Qin; Xiangmin Zhou; Weiyi Zhou; Guangyan Huang; Yongli Ren; Ben Horan; Jing He 004; Naoki Kito (Expert Syst. Appl., 2018)

What Will You Do for the Rest of the Day?: An Approach to Continuous Trajectory Prediction. - Amin Sadri; Flora D. Salim; Yongli Ren; Wei Shao 006; John Krumm; Cecilia Mascolo (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

A Location-Query-Browse Graph for Contextual Recommendation. - Yongli Ren; Martin Tomko; Flora Dilys Salim; Jeffrey Chan; Charles L. A. Clarke; Mark Sanderson (IEEE Trans. Knowl. Data Eng., 2018)

Learning About Work Tasks to Inform Intelligent Assistant Design. - Johanne R. Trippas; Damiano Spina; Falk Scholer; Ahmed Hassan Awadallah; Peter Bailey; Paul N. Bennett; Ryen W. White; Jonathan Liono; Yongli Ren; Flora D. Salim; Mark Sanderson (CHIIR, 2019)

A Probabilistic Graph-Based Method to Improve Recommender System Accuracy. - Nima Joorabloo; Mahdi Jalili; Yongli Ren (EANN, 2019)

A New Temporal Recommendation System based on Users' Similarity Prediction. - Nima Joorabloo; Mahdi Jalili; Yongli Ren (KDIR, 2019)

I-CARS: An Interactive Context-Aware Recommender System. - Rosni Lumbantoruan; Xiangmin Zhou; Yongli Ren; Lei Chen 002 (ICDM, 2019)

OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace. - Mohammad Saiedur Rahaman; Harsh Pare; Jonathan Liono; Flora D. Salim; Yongli Ren; Jeffrey Chan; Shaw Kudo; Tim Rawling; Alex Sinickas (PerCom Workshops, 2019)

J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation. - P. V. S. Avinesh; Yongli Ren; Christian M. Meyer; Jeffrey Chan; Zhifeng Bao; Mark Sanderson (ECML/PKDD (3), 2019)

Root Cause Analysis of Traffic Anomalies Using Uneven Diffusion Model. - Guang-Li Huang; Ke Deng; Yongli Ren; Jianxin Li 001 (IEEE Access, 2019)

Declarative User-Item Profiling Based Context-Aware Recommendation. - Rosni Lumbantoruan; Xiangmin Zhou; Yongli Ren (ADMA, 2020)

G-CREWE: Graph CompREssion With Embedding for Network Alignment. - Kyle Kai Qin; Flora D. Salim; Yongli Ren; Wei Shao 006; Mark Heimann; Danai Koutra (CIKM, 2020)

Reliable Customized Privacy-Preserving in Fog Computing. - Xiaodong Wang 017; Bruce Gu; Youyang Qu; Yongli Ren; Yong Xiang 001; Longxiang Gao (ICC, 2020)

Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life. - Jonathan Liono; Mohammad Saiedur Rahaman; Flora D. Salim; Yongli Ren; Damiano Spina; Falk Scholer; Johanne R. Trippas; Mark Sanderson; Paul N. Bennett; Ryen W. White (ICMR, 2020)

A Privacy Preserving Aggregation Scheme for Fog-Based Recommender System. - Xiaodong Wang 017; Bruce Gu; Youyang Qu; Yongli Ren; Yong Xiang 001; Longxiang Gao (NSS, 2020)

Can helpful reviews help answer product questions? - Tony Danhui Huang; Xiuzhen Zhang 001; Yongli Ren; Min Peng 002 (PACIS, 2020)

Relation Embedding for Personalised Translation-Based POI Recommendation. - Xianjing Wang; Flora D. Salim; Yongli Ren; Piotr Koniusz (PAKDD (1), 2020)

Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation. - Elisa Mena-Maldonado; Rocío Cañamares; Pablo Castells; Yongli Ren; Mark Sanderson (SIGIR, 2020)

Improved Collaborative Filtering Recommendation Through Similarity Prediction. - Nima Joorabloo; Mahdi Jalili; Yongli Ren (IEEE Access, 2020)

Relation Embedding for Personalised POI Recommendation. - Xianjing Wang; Flora D. Salim; Yongli Ren; Piotr Koniusz (CoRR, 2020)

Seating preference analysis for hybrid workplaces. - Mohammad Saiedur Rahaman; Shaw Kudo; Tim Rawling; Yongli Ren; Flora D. Salim (CoRR, 2020)

An Ambient-Physical System to Infer Concentration in Open-Plan Workplace. - Mohammad Saiedur Rahaman; Jonathan Liono; Yongli Ren; Jeffrey Chan; Shaw Kudo; Tim Rawling; Flora D. Salim (IEEE Internet Things J., 2020)

A Fog-Based Recommender System. - Xiaodong Wang 017; Bruce Gu; Yongli Ren; Wenjie Ye; Shui Yu 001; Yong Xiang 001; Longxiang Gao (IEEE Internet Things J., 2020)

A social recommender system based on reliable implicit relationships. - Sajad Ahmadian; Nima Joorabloo; Mahdi Jalili; Yongli Ren; Majid Meghdadi; Mohsen Afsharchi (Knowl. Based Syst., 2020)

Solving multiple travelling officers problem with population-based optimization algorithms. - Kyle Kai Qin; Wei Shao 006; Yongli Ren; Jeffrey Chan; Flora D. Salim (Neural Comput. Appl., 2020)

Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. - Manpreet Kaur; Flora D. Salim; Yongli Ren; Jeffrey Chan; Martin Tomko; Mark Sanderson (ACM Trans. Sens. Networks, 2020)

PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. - Futoon M. Abushaqra; Hao Xue 001; Yongli Ren; Flora D. Salim (ICDM, 2021)

Research on the Ways of Cultivating Teenagers' Scientific and Technological Innovation Ability Based on Matrix Algorithm. - Yongli Ren; Dafeng Liu; Shu Xu; Jie Guo (ICISCAE (ACM), 2021)

Construction of Information Platform of Ideology Education in Colleges and Universities Based on Web in Digital Age. - Shu Xu; Yongli Ren; Reynaldo V. Ruga (ICISCAE (ACM), 2021)

MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. - Hao Xue 001; Flora D. Salim; Yongli Ren; Nuria Oliver (NeurIPS, 2021)

A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems. - Nima Joorabloo; Mahdi Jalili; Yongli Ren (Expert Syst. Appl., 2021)

Popularity Bias in False-positive Metrics for Recommender Systems Evaluation. - Elisa Mena-Maldonado; Rocío Cañamares; Pablo Castells; Yongli Ren; Mark Sanderson (ACM Trans. Inf. Syst., 2021)

NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution. - Chenglong Ma; Yongli Ren; Pablo Castells; Mark Sanderson (CIKM, 2022)

Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering. - Chenglong Ma; Yongli Ren; Pablo Castells; Mark Sanderson (SIGIR, 2022)

Translating Human Mobility Forecasting through Natural Language Generation. - Hao Xue 001; Flora D. Salim; Yongli Ren; Charles L. A. Clarke (WSDM, 2022)

FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback. - Jie Li 095; Yongli Ren; Ke Deng (WWW, 2022)

CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series. - Futoon M. Abushaqra; Hao Xue 001; Yongli Ren; Flora D. Salim (CoRR, 2022)

Imagining future digital assistants at work: A study of task management needs. - Yonchanok Khaokaew; Indigo Holcombe-James; Mohammad Saiedur Rahaman; Jonathan Liono; Johanne R. Trippas; Damiano Spina; Peter Bailey; Nicholas J. Belkin; Paul N. Bennett; Yongli Ren; Mark Sanderson; Falk Scholer; et al. (Int. J. Hum. Comput. Stud., 2022)

Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence. - Nima Joorabloo; Mahdi Jalili; Yongli Ren (Inf. Sci., 2022)

App usage on-the-move: Context- and commute-aware next app prediction. - Yufan Kang; Mohammad Saiedur Rahaman; Yongli Ren; Mark Sanderson; Ryen W. White; Flora D. Salim (Pervasive Mob. Comput., 2022)

The Footprint of Factorization Models and Their Applications in Collaborative Filtering. - Jinze Wang; Yongli Ren; Jie Li 095; Ke Deng (ACM Trans. Inf. Syst., 2022)

A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality. - Kyle Kai Qin; Mohammad Saiedur Rahaman; Yongli Ren; Chi-Tsun Cheng; Ivan Cole; Flora D. Salim (MDM, 2023)

Intensity-free Integral-based Learning of Marked Temporal Point Processes. - Sishun Liu; Ke Deng; Xiuzhen Zhang 001; Yongli Ren (CoRR, 2023)

Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction. - Kyle Kai Qin; Yongli Ren; Wei Shao 006; Brennan Lake; Filippo Privitera; Flora D. Salim (ACM Trans. Spatial Algorithms Syst., 2023)

CRUISE on Quantum Computing for Feature Selection in Recommender Systems. - Jiayang Niu; Jie Li 095; Ke Deng; Yongli Ren (CLEF (Working Notes), 2024)

Reference-free review-based product question answering evaluation via distant contrastive learning. - Tony Danhui Huang; Yongli Ren; Lifang Wu; Xiuzhen Zhang 001 (IJCNN, 2024)

Temporal Conformity-aware Hawkes Graph Network for Recommendations. - Chenglong Ma; Yongli Ren; Pablo Castells; Mark Sanderson (WWW, 2024)

Reinforcement Learning for Tackling Energy-Saving and Energy-Balance Dilemma of Cluster-Based Routing Protocols in WSNs. - Yan Wang; Ke Deng; Yongli Ren; Jeffrey Chan; Guangjian Tian; Christian S. Jensen (IEEE Access, 2024)

Performance-Driven QUBO for Recommender Systems on Quantum Annealers. - Jiayang Niu; Jie Li 095; Ke Deng; Mark Sanderson; Yongli Ren (CoRR, 2024)

Metamorphic Evaluation of ChatGPT as a Recommender System. - Madhurima Khirbat; Yongli Ren; Pablo Castells; Mark Sanderson (CoRR, 2024)

SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series. - Futoon M. Abushaqra; Hao Xue 001; Yongli Ren; Flora D. Salim (Trans. Mach. Learn. Res., 2024)

Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation. - Xiangmin Zhou; Rosni Lumbantoruan; Yongli Ren; Lei Chen 002; Xiaochun Yang 001; Jie Shao 001 (Trans. Recomm. Syst., 2024)

PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation. - Chenglong Ma; Ziqi Xu 001; Yongli Ren; Danula Hettiachchi; Jeffrey Chan (SIGIR, 2025)

Can Large Language Models Be a Good Evaluator for Review-based Product Question Answering? - Tony Danhui Huang; Yongli Ren; Xiuzhen Zhang 001 (WWW (Companion Volume), 2025)

Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory. - Ziqi Xu 001; Chenglong Ma; Yongli Ren; Jeffrey Chan; Wei Shao 006; Feng Xia 001 (WWW (Companion Volume), 2025)

ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting. - Futoon M. Abushaqra; Hao Xue 001; Yongli Ren; Flora D. Salim (Trans. Mach. Learn. Res., 2025)

Explaining Recommendation Fairness from a User/Item Perspective. - Jie Li 095; Yongli Ren; Mark Sanderson; Ke Deng (ACM Trans. Inf. Syst., 2025)

Session-Oriented Fairness-Aware Recommendation via Dual Temporal Convolutional Networks. - Jie Li 095; Ke Deng; Jianxin Li 001; Yongli Ren (IEEE Trans. Knowl. Data Eng., 2025)

A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods. - Azadeh Alavi; Hossein Akhoundi; Fatemeh Kouchmeshki; Mojtaba Mahmoodian; Sanduni Jayasinghe; Yongli Ren; Abdolrahman Alavi (CoRR, 2025)

Evaluating Position Bias in Large Language Model Recommendations. - Ethan Bito; Yongli Ren; Estrid He (CoRR, 2025)