Yongli Ren

124 papers A* 9A 7B 11C 3Misc 2Journal 67Unranked 25
YearRankTypeTitle / Venue / Authors
2026 — conf
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought.
EACL (Findings)
Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia
2026 J jnl
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought.
CoRR
Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia
2025 J jnl
A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods.
CoRR
Azadeh Alavi, Hossein Akhoundi, Fatemeh Kouchmeshki, Mojtaba Mahmoodian, Sanduni Jayasinghe, Yongli Ren, Abdolrahman Alavi
2025 J jnl
Addressing Mark Imbalance in Integration-free Neural Marked Temporal Point Processes.
CoRR
Sishun Liu, Ke Deng, Yongli Ren, Yan Wang, Xiuzhen Zhang
2025 — conf
Can Large Language Models Be a Good Evaluator for Review-based Product Question Answering?
WWW (Companion Volume)
Tony Danhui Huang, Yongli Ren, Xiuzhen Zhang
2025 A conf
Estimating Quantum Execution Requirements for Feature Selection in Recommender Systems Using Extreme Value Theory.
RecSys
Jiayang Niu, Qihan Zou, Jie Li, Ke Deng, Mark Sanderson, Yongli Ren
2025 J jnl
Evaluating Position Bias in Large Language Model Recommendations.
CoRR
Ethan Bito, Yongli Ren, Estrid He
2025 J jnl
Explaining Recommendation Fairness from a User/Item Perspective.
ACM Trans. Inf. Syst.
Jie Li, Yongli Ren, Mark Sanderson, Ke Deng
2025 J jnl
Multi-Agent Cross-Entropy Method with Monotonic Nonlinear Critic Decomposition.
CoRR
Yan Wang, Ke Deng, Yongli Ren
2025 J jnl
ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting.
Trans. Mach. Learn. Res.
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
2025 A* conf
PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation.
SIGIR
Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan
2025 J jnl
PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation.
CoRR
Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan
2025 J jnl
Rehearsal-free and Task-free Online Continual Learning With Contrastive Prompt.
CoRR
Aopeng Wang, Ke Deng, Yongli Ren, Jun Luo
2025 J jnl
Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025).
SIGIR Forum
Johanne R. Trippas, J. Shane Culpepper, Mohammad Aliannejadi, James Allan, Enrique Amigó, Jaime Arguello, Leif Azzopardi, Peter Bailey, Jamie Callan, Rob Capra, Nick Craswell, W. Bruce Croft, Jeff Dalton, Gianluca Demartini, Laura Dietz, Zhicheng Dou, Carsten Eickhoff, Michael D. Ekstrand, Nicola Ferro, Norbert Fuhr, Dorota Glowacka, Faegheh Hasibi, Danula Hettiachchi, Rosie Jones, Jaap Kamps, Noriko Kando, Sarvnaz Karimi, Makoto P. Kato, Bevan Koopman, Yiqun Liu, Chenglong Ma, Joel Mackenzie, Maria Maistro, Jiaxin Mao, Dana McKay, Bhaskar Mitra, Stefano Mizzaro, Alistair Moffat, Josiane Mothe, Iadh Ounis, Lida Rashidi, Yongli Ren, Mark Sanderson, Rodrygo L. T. Santos, Falk Scholer, Chirag Shah, Laurianne Sitbon, Ian Soboroff, Damiano Spina, Paul Thomas, Julián Urbano, Arjen P. de Vries, Ryen White, Abby Yuan, Hamed Zamani, Oleg Zendel, Min Zhang, Shengyao Zhuang, Justin Zobel, Guido Zuccon
2025 J jnl
Session-Oriented Fairness-Aware Recommendation via Dual Temporal Convolutional Networks.
IEEE Trans. Knowl. Data Eng.
Jie Li, Ke Deng, Jianxin Li, Yongli Ren
2025 — conf
Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory.
WWW (Companion Volume)
Ziqi Xu, Chenglong Ma, Yongli Ren, Jeffrey Chan, Wei Shao, Feng Xia
2025 A conf
Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment.
CIKM
Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia
2025 J jnl
Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment.
CoRR
Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia
2024 — conf
CRUISE on Quantum Computing for Feature Selection in Recommender Systems.
CLEF (Working Notes)
Jiayang Niu, Jie Li, Ke Deng, Yongli Ren
2024 J jnl
CRUISE on Quantum Computing for Feature Selection in Recommender Systems.
CoRR
Jiayang Niu, Jie Li, Ke Deng, Yongli Ren
2024 J jnl
Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation.
Trans. Recomm. Syst.
Xiangmin Zhou, Rosni Lumbantoruan, Yongli Ren, Lei Chen, Xiaochun Yang, Jie Shao
2024 J jnl
Metamorphic Evaluation of ChatGPT as a Recommender System.
CoRR
Madhurima Khirbat, Yongli Ren, Pablo Castells, Mark Sanderson
2024 J jnl
ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting.
CoRR
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
2024 J jnl
Performance-Driven QUBO for Recommender Systems on Quantum Annealers.
CoRR
Jiayang Niu, Jie Li, Ke Deng, Mark Sanderson, Yongli Ren
2024 B conf
Reference-free review-based product question answering evaluation via distant contrastive learning.
IJCNN
Tony Danhui Huang, Yongli Ren, Lifang Wu, Xiuzhen Zhang
2024 J jnl
Reinforcement Learning for Tackling Energy-Saving and Energy-Balance Dilemma of Cluster-Based Routing Protocols in WSNs.
IEEE Access
Yan Wang, Ke Deng, Yongli Ren, Jeffrey Chan, Guangjian Tian, Christian S. Jensen
2024 J jnl
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series.
Trans. Mach. Learn. Res.
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
2024 A* conf
Temporal Conformity-aware Hawkes Graph Network for Recommendations.
WWW
Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson
2023 B conf
A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality.
MDM
Kyle Kai Qin, Mohammad Saiedur Rahaman, Yongli Ren, Chi-Tsun Cheng, Ivan Cole, Flora D. Salim
2023 J jnl
A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality.
CoRR
Kyle Kai Qin, Mohammad Saiedur Rahaman, Yongli Ren, Chi-Tsun Cheng, Ivan Cole, Flora D. Salim
2023 J jnl
Intensity-free Integral-based Learning of Marked Temporal Point Processes.
CoRR
Sishun Liu, Ke Deng, Xiuzhen Zhang, Yongli Ren
2023 J jnl
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction.
CoRR
Kyle Kai Qin, Yongli Ren, Wei Shao, Brennan Lake, Filippo Privitera, Flora D. Salim
2023 J jnl
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction.
ACM Trans. Spatial Algorithms Syst.
Kyle Kai Qin, Yongli Ren, Wei Shao, Brennan Lake, Filippo Privitera, Flora D. Salim
2022 J jnl
App usage on-the-move: Context- and commute-aware next app prediction.
Pervasive Mob. Comput.
Yufan Kang, Mohammad Saiedur Rahaman, Yongli Ren, Mark Sanderson, Ryen W. White, Flora D. Salim
2022 J jnl
CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series.
CoRR
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
2022 A* conf
Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering.
SIGIR
Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson
2022 A* conf
FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback.
WWW
Jie Li, Yongli Ren, Ke Deng
2022 J jnl
Imagining Future Digital Assistants at Work: A Study of Task Management Needs.
CoRR
Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman, Jonathan Liono, Johanne R. Trippas, Damiano Spina, Nicholas J. Belkin, Peter Bailey, Paul N. Bennett, Yongli Ren, Mark Sanderson, Falk Scholer, Ryen W. White, Flora D. Salim
2022 J jnl
Imagining future digital assistants at work: A study of task management needs.
Int. J. Hum. Comput. Stud.
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, Ryen W. White, Flora D. Salim
2022 J jnl
Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence.
Inf. Sci.
Nima Joorabloo, Mahdi Jalili, Yongli Ren
2022 A conf
NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution.
CIKM
Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson
2022 J jnl
The
ACM Trans. Inf. Syst.
Jinze Wang, Yongli Ren, Jie Li, Ke Deng
2022 A conf
Translating Human Mobility Forecasting through Natural Language Generation.
WSDM
Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke
2021 J jnl
A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems.
Expert Syst. Appl.
Nima Joorabloo, Mahdi Jalili, Yongli Ren
2021 — conf
Construction of Information Platform of Ideology Education in Colleges and Universities Based on Web in Digital Age.
ICISCAE (ACM)
Shu Xu, Yongli Ren, Reynaldo V. Ruga
2021 A* conf
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction.
NeurIPS
Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver
2021 J jnl
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction.
CoRR
Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver
2021 A* conf
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series.
ICDM
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
2021 J jnl
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series.
CoRR
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
2021 J jnl
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation.
ACM Trans. Inf. Syst.
Elisa Mena-Maldonado, Rocío Cañamares, Pablo Castells, Yongli Ren, Mark Sanderson
2021 — conf
Research on the Ways of Cultivating Teenagers' Scientific and Technological Innovation Ability Based on Matrix Algorithm.
ICISCAE (ACM)
Yongli Ren, Dafeng Liu, Shu Xu, Jie Guo
2021 J jnl
Translating Human Mobility Forecasting through Natural Language Generation.
CoRR
Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke
2020 J jnl
A Fog-Based Recommender System.
IEEE Internet Things J.
Xiaodong Wang, Bruce Gu, Yongli Ren, Wenjie Ye, Shui Yu, Yong Xiang, Longxiang Gao
2020 B conf
A Privacy Preserving Aggregation Scheme for Fog-Based Recommender System.
NSS
Xiaodong Wang, Bruce Gu, Youyang Qu, Yongli Ren, Yong Xiang, Longxiang Gao
2020 J jnl
A social recommender system based on reliable implicit relationships.
Knowl. Based Syst.
Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Yongli Ren, Majid Meghdadi, Mohsen Afsharchi
2020 A* conf
Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation.
SIGIR
Elisa Mena-Maldonado, Rocío Cañamares, Pablo Castells, Yongli Ren, Mark Sanderson
2020 J jnl
An Ambient-Physical System to Infer Concentration in Open-Plan Workplace.
IEEE Internet Things J.
Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim
2020 J jnl
An Ambient-Physical System to Infer Concentration in Open-plan Workplace.
CoRR
Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim
2020 — conf
Can helpful reviews help answer product questions?
PACIS
Tony Danhui Huang, Xiuzhen Zhang, Yongli Ren, Min Peng
2020 C conf
Declarative User-Item Profiling Based Context-Aware Recommendation.
ADMA
Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren
2020 A conf
G-CREWE: Graph CompREssion With Embedding for Network Alignment.
CIKM
Kyle Kai Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra
2020 J jnl
G-CREWE: Graph CompREssion With Embedding for Network Alignment.
CoRR
Kyle Kai Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra
2020 J jnl
Improved Collaborative Filtering Recommendation Through Similarity Prediction.
IEEE Access
Nima Joorabloo, Mahdi Jalili, Yongli Ren
2020 B conf
Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life.
ICMR
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
2020 J jnl
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors.
CoRR
Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson
2020 J jnl
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors.
ACM Trans. Sens. Networks
Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson
2020 J jnl
Relation Embedding for Personalised POI Recommendation.
CoRR
Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz
2020 — conf
Relation Embedding for Personalised Translation-Based POI Recommendation.
PAKDD (1)
Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz
2020 — conf
Reliable Customized Privacy-Preserving in Fog Computing.
ICC
Xiaodong Wang, Bruce Gu, Youyang Qu, Yongli Ren, Yong Xiang, Longxiang Gao
2020 J jnl
Seating preference analysis for hybrid workplaces.
CoRR
Mohammad Saiedur Rahaman, Shaw Kudo, Tim Rawling, Yongli Ren, Flora D. Salim
2020 J jnl
Solving multiple travelling officers problem with population-based optimization algorithms.
Neural Comput. Appl.
Kyle Kai Qin, Wei Shao, Yongli Ren, Jeffrey Chan, Flora D. Salim
2019 — conf
A New Temporal Recommendation System based on Users' Similarity Prediction.
KDIR
Nima Joorabloo, Mahdi Jalili, Yongli Ren
2019 C conf
A Probabilistic Graph-Based Method to Improve Recommender System Accuracy.
EANN
Nima Joorabloo, Mahdi Jalili, Yongli Ren
2019 A* conf
I-CARS: An Interactive Context-Aware Recommender System.
ICDM
Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Lei Chen
2019 — conf
J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation.
ECML/PKDD (3)
P. V. S. Avinesh, Yongli Ren, Christian M. Meyer, Jeffrey Chan, Zhifeng Bao, Mark Sanderson
2019 B conf
Learning About Work Tasks to Inform Intelligent Assistant Design.
CHIIR
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
2019 — conf
OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace.
PerCom Workshops
Mohammad Saiedur Rahaman, Harsh Pare, Jonathan Liono, Flora D. Salim, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Alex Sinickas
2019 J jnl
Root Cause Analysis of Traffic Anomalies Using Uneven Diffusion Model.
IEEE Access
Guang-Li Huang, Ke Deng, Yongli Ren, Jianxin Li
2018 J jnl
A Location-Query-Browse Graph for Contextual Recommendation.
IEEE Trans. Knowl. Data Eng.
Yongli Ren, Martin Tomko, Flora Dilys Salim, Jeffrey Chan, Charles L. A. Clarke, Mark Sanderson
2018 — conf
A Preliminary Comparison of Job, Talent, and Web Search.
IIR
Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel
2018 B conf
A Temporal Clustering Approach for Social Recommender Systems.
ASONAM
Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Majid Meghdadi, Mohsen Afsharchi, Yongli Ren
2018 — conf
Contextual Location Imputation for Confined WiFi Trajectories.
PAKDD (2)
Elham Naghizade, Jeffrey Chan, Yongli Ren, Martin Tomko
2018 A* conf
D-CARS: A Declarative Context-Aware Recommender System.
ICDM
Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Zhifeng Bao
2018 — conf
Identifying In-App User Actions from Mobile Web Logs.
PAKDD (2)
Bilih Priyogi, Mark Sanderson, Flora D. Salim, Jeffrey Chan, Martin Tomko, Yongli Ren
2018 J jnl
MSIM: A change detection framework for damage assessment in natural disasters.
Expert Syst. Appl.
Dong Qin, Xiangmin Zhou, Weiyi Zhou, Guangyan Huang, Yongli Ren, Ben Horan, Jing He, Naoki Kito
2018 — conf
Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs.
BuildSys
Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson
2018 J jnl
Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces.
EPJ Data Sci.
Yongli Ren, Martin Tomko, Flora D. Salim, Jeffrey Chan, Mark Sanderson
2018 J jnl
Wait Time Prediction for Airport Taxis Using Weighted Nearest Neighbor Regression.
IEEE Access
Mohammad Saiedur Rahaman, Yongli Ren, Margaret Hamilton, Flora D. Salim
2018 J jnl
What Will You Do for the Rest of the Day?: An Approach to Continuous Trajectory Prediction.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Amin Sadri, Flora D. Salim, Yongli Ren, Wei Shao, John Krumm, Cecilia Mascolo
2017 J jnl
Analyzing Web behavior in indoor retail spaces.
J. Assoc. Inf. Sci. Technol.
Yongli Ren, Martin Tomko, Flora Dilys Salim, Kevin Ong, Mark Sanderson
2017 — conf
Change Detection from Media Sharing Community.
APWeb/WAIM (1)
Naoki Kito, Xiangmin Zhou, Dong Qin, Yongli Ren, Xiuzhen Zhang, James A. Thom
2017 J jnl
D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate.
Pervasive Mob. Comput.
Yongli Ren, Flora Dilys Salim, Martin Tomko, Yuntian Brian Bai, Jeffrey Chan, Kyle Kai Qin, Mark Sanderson
2017 — conf
Full trajectory prediction: what will you do the rest of the day?
UbiComp/ISWC Adjunct
Amin Sadri, Flora Dilys Salim, Yongli Ren
2017 J jnl
Information gain-based metric for recognizing transitions in human activities.
Pervasive Mob. Comput.
Amin Sadri, Yongli Ren, Flora D. Salim
2017 J jnl
Shrink: Distance preserving graph compression.
Inf. Syst.
Amin Sadri, Flora D. Salim, Yongli Ren, Masoomeh Zameni, Jeffrey Chan, Timos Sellis
2017 — conf
Understanding User Behavior in Job and Talent Search: An Initial Investigation.
eCOM@SIGIR
Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel
2015 J jnl
A survey of recommendation techniques based on offline data processing.
Concurr. Comput. Pract. Exp.
Yongli Ren, Gang Li, Wanlei Zhou
2015 J jnl
Analyzing Web Behavior in Indoor Retail Spaces.
CoRR
Yongli Ren, Martin Tomko, Flora D. Salim, Kevin Ong, Mark Sanderson
2015 J jnl
Privacy preserving data release for tagging recommender systems.
Web Intell.
Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong
2014 C conf
A new approach for indoor customer tracking based on a single Wi-Fi connection.
IPIN
Yuntian Brian Bai, Suqin Wu, Yongli Ren, Kevin Ong, Günther Retscher, Allison Kealy, Martin Tomko, Mark Sanderson, Hong Ren Wu, Kefei Zhang
2014 J jnl
An effective privacy preserving algorithm for neighborhood-based collaborative filtering.
Future Gener. Comput. Syst.
Tianqing Zhu, Yongli Ren, Wanlei Zhou, Jia Rong, Ping Xiong
2014 A conf
How People Use the Web in Large Indoor Spaces.
CIKM
Yongli Ren, Martin Tomko, Kevin Ong, Mark Sanderson
2014 J jnl
Modelling personal preferences for Top-N movie recommendations.
Web Intell. Agent Syst.
Yongli Ren, Gang Li, Wanlei Zhou
2014 J jnl
Privacy preserving collaborative filtering for KNN attack resisting.
Soc. Netw. Anal. Min.
Tianqing Zhu, Gang Li, Lei Pan, Yongli Ren, Wanlei Zhou
2014 J jnl
The maximum imputation framework for neighborhood-based collaborative filtering.
Soc. Netw. Anal. Min.
Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou
2013 J jnl
A learning method for Top-N recommendations with incomplete data.
Soc. Netw. Anal. Min.
Yongli Ren, Gang Li, Wanlei Zhou
2013 B conf
AdaM: adaptive-maximum imputation for neighborhood-based collaborative filtering.
ASONAM
Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou
2013 B conf
Differential privacy for neighborhood-based collaborative filtering.
ASONAM
Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong
2013 J jnl
Lazy Collaborative Filtering for Data Sets With Missing Values.
IEEE Trans. Cybern.
Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou
2013 — conf
Privacy Preserving for Tagging Recommender Systems.
Web Intelligence
Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong
2013 — conf
Recommendation Techniques Based on Off-Line Data Processing a Multifaceted Survey.
SKG
Yongli Ren, Gang Li, Wanlei Zhou
2013 J jnl
SelfTrust: leveraging self-assessment for trust inference in Internetware.
Sci. China Inf. Sci.
Yuan Yao, Feng Xu, Yongli Ren, Hanghang Tong, Jian Lü
2013 — conf
Top-N Recommendations by Learning User Preference Dynamics.
PAKDD (2)
Yongli Ren, Tianqing Zhu, Gang Li, Wanlei Zhou
2012 J jnl
Identifying Microphone from Noisy Recordings by Using Representative Instance One Class-Classification Approach.
J. Networks
Huy Quan Vu, Shaowu Liu, Xinghua Yang, Zhi Li, Yongli Ren
2012 B conf
Improving Top-N Recommendations with User Consuming Profiles.
PRICAI
Yongli Ren, Gang Li, Wanlei Zhou
2012 B conf
Learning Rating Patterns for Top-N Recommendations.
ASONAM
Yongli Ren, Gang Li, Wanlei Zhou
2012 — conf
Learning User Preference Patterns for Top-N Recommendations.
Web Intelligence
Yongli Ren, Gang Li, Wanlei Zhou
2012 A conf
The efficient imputation method for neighborhood-based collaborative filtering.
CIKM
Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou
2011 J jnl
Using local density information to improve IB algorithms.
Pattern Recognit. Lett.
Yangdong Ye, Yongli Ren, Gang Li
2009 Misc conf
Clustering Interval-valued Data Using an Overlapped Interval Divergence.
AusDM
Yongli Ren, Yu-Hsn Liu, Jia Rong, Robert Dew
2009 — conf
Journal ranking based on social information.
JCDL
Jinlong Wang, Ke Gao, Yongli Ren, Gang Li
2009 Misc conf
Monetising User Generated Content Using Data Mining Techniques.
AusDM
Yu-Hsn Liu, Yongli Ren, Robert Dew
2008 — conf
The Density Connectivity Information Bottleneck.
ICYCS
Yongli Ren, Yangdong Ye, Gang Li
2008 B conf
The Density-Based Agglomerative Information Bottleneck.
PRICAI
Yongli Ren, Yangdong Ye, Gang Li