Yongli Ren

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 73

Top Venues

Publications

Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson
Temporal Conformity-aware Hawkes Graph Network for Recommendations. WWW (2024)
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series. Trans. Mach. Learn. Res. 2024 (2024)
Jiayang Niu, Jie Li, Ke Deng, Yongli Ren
CRUISE on Quantum Computing for Feature Selection in Recommender Systems. CLEF (Working Notes) (2024)
Jiayang Niu, Jie Li, Ke Deng, Yongli Ren
CRUISE on Quantum Computing for Feature Selection in Recommender Systems. CoRR (2024)
Xiangmin Zhou, Rosni Lumbantoruan, Yongli Ren, Lei Chen, Xiaochun Yang, Jie Shao
Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation. Trans. Recomm. Syst. 2 (2) (2024)
Kyle Kai Qin, Mohammad Saiedur Rahaman, Yongli Ren, Chi-Tsun Cheng, Ivan Cole, Flora D. Salim
A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality. MDM (2023)
Kyle Kai Qin, Yongli Ren, Wei Shao, Brennan Lake, Filippo Privitera, Flora D. Salim
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction. CoRR (2023)
Sishun Liu, Ke Deng, Xiuzhen Zhang, Yongli Ren
Intensity-free Integral-based Learning of Marked Temporal Point Processes. CoRR (2023)
Kyle Kai Qin, Yongli Ren, Wei Shao, Brennan Lake, Filippo Privitera, Flora D. Salim
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction. ACM Trans. Spatial Algorithms Syst. 9 (2) (2023)
Kyle Kai Qin, Mohammad Saiedur Rahaman, Yongli Ren, Chi-Tsun Cheng, Ivan Cole, Flora D. Salim
A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality. CoRR (2023)
Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson
Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering. SIGIR (2022)
Jinze Wang, Yongli Ren, Jie Li, Ke Deng
of Factorization Models and Their Applications in Collaborative Filtering. ACM Trans. Inf. Syst. 40 (4) (2022)
Jie Li, Yongli Ren, Ke Deng
FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback. WWW (2022)
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
Imagining Future Digital Assistants at Work: A Study of Task Management Needs. CoRR (2022)
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series. CoRR (2022)
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
Imagining future digital assistants at work: A study of task management needs. Int. J. Hum. Comput. Stud. 168 (2022)
Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson
NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution. CIKM (2022)
Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke
Translating Human Mobility Forecasting through Natural Language Generation. WSDM (2022)
Yufan Kang, Mohammad Saiedur Rahaman, Yongli Ren, Mark Sanderson, Ryen W. White, Flora D. Salim
App usage on-the-move: Context- and commute-aware next app prediction. Pervasive Mob. Comput. 87 (2022)
Nima Joorabloo, Mahdi Jalili, Yongli Ren
Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence. Inf. Sci. 601 (2022)
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. CoRR (2021)
Elisa Mena-Maldonado, Rocío Cañamares, Pablo Castells, Yongli Ren, Mark Sanderson
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation. ACM Trans. Inf. Syst. 39 (3) (2021)
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. ICDM (2021)
Shu Xu, Yongli Ren, Reynaldo V. Ruga
Construction of Information Platform of Ideology Education in Colleges and Universities Based on Web in Digital Age. ICISCAE (ACM) (2021)
Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. CoRR (2021)
Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke
Translating Human Mobility Forecasting through Natural Language Generation. CoRR (2021)
Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. NeurIPS (2021)
Yongli Ren, Dafeng Liu, Shu Xu, Jie Guo
Research on the Ways of Cultivating Teenagers' Scientific and Technological Innovation Ability Based on Matrix Algorithm. ICISCAE (ACM) (2021)
Nima Joorabloo, Mahdi Jalili, Yongli Ren
A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems. Expert Syst. Appl. 184 (2021)
Mohammad Saiedur Rahaman, Shaw Kudo, Tim Rawling, Yongli Ren, Flora D. Salim
Seating preference analysis for hybrid workplaces. CoRR (2020)
Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz
Relation Embedding for Personalised POI Recommendation. CoRR (2020)
Elisa Mena-Maldonado, Rocío Cañamares, Pablo Castells, Yongli Ren, Mark Sanderson
Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation. SIGIR (2020)
Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. ACM Trans. Sens. Networks 16 (3) (2020)
Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim
An Ambient-Physical System to Infer Concentration in Open-plan Workplace. CoRR (2020)
Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Yongli Ren, Majid Meghdadi, Mohsen Afsharchi
A social recommender system based on reliable implicit relationships. Knowl. Based Syst. 192 (2020)
Xiaodong Wang, Bruce Gu, Youyang Qu, Yongli Ren, Yong Xiang, Longxiang Gao
A Privacy Preserving Aggregation Scheme for Fog-Based Recommender System. NSS (2020)
Nima Joorabloo, Mahdi Jalili, Yongli Ren
Improved Collaborative Filtering Recommendation Through Similarity Prediction. IEEE Access 8 (2020)
Kyle Kai Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra
G-CREWE: Graph CompREssion With Embedding for Network Alignment. CoRR (2020)
Xiaodong Wang, Bruce Gu, Youyang Qu, Yongli Ren, Yong Xiang, Longxiang Gao
Reliable Customized Privacy-Preserving in Fog Computing. ICC (2020)
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
Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life. ICMR (2020)
Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim
An Ambient-Physical System to Infer Concentration in Open-Plan Workplace. IEEE Internet Things J. 7 (12) (2020)
Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren
Declarative User-Item Profiling Based Context-Aware Recommendation. ADMA (2020)
Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz
Relation Embedding for Personalised Translation-Based POI Recommendation. PAKDD (1) (2020)
Kyle Kai Qin, Wei Shao, Yongli Ren, Jeffrey Chan, Flora D. Salim
Solving multiple travelling officers problem with population-based optimization algorithms. Neural Comput. Appl. 32 (16) (2020)
Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. CoRR (2020)
Xiaodong Wang, Bruce Gu, Yongli Ren, Wenjie Ye, Shui Yu, Yong Xiang, Longxiang Gao
A Fog-Based Recommender System. IEEE Internet Things J. 7 (2) (2020)
Kyle Kai Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra
G-CREWE: Graph CompREssion With Embedding for Network Alignment. CIKM (2020)
Tony Danhui Huang, Xiuzhen Zhang, Yongli Ren, Min Peng
Can helpful reviews help answer product questions? PACIS (2020)
Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Lei Chen
I-CARS: An Interactive Context-Aware Recommender System. ICDM (2019)
Nima Joorabloo, Mahdi Jalili, Yongli Ren
A Probabilistic Graph-Based Method to Improve Recommender System Accuracy. EANN (2019)
Guang-Li Huang, Ke Deng, Yongli Ren, Jianxin Li
Root Cause Analysis of Traffic Anomalies Using Uneven Diffusion Model. IEEE Access 7 (2019)
P. V. S. Avinesh, Yongli Ren, Christian M. Meyer, Jeffrey Chan, Zhifeng Bao, Mark Sanderson
J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation. ECML/PKDD (3) (2019)
Nima Joorabloo, Mahdi Jalili, Yongli Ren
A New Temporal Recommendation System based on Users' Similarity Prediction. KDIR (2019)
Mohammad Saiedur Rahaman, Harsh Pare, Jonathan Liono, Flora D. Salim, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Alex Sinickas
OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace. PerCom Workshops (2019)
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
Learning About Work Tasks to Inform Intelligent Assistant Design. CHIIR (2019)
Yongli Ren, Martin Tomko, Flora Dilys Salim, Jeffrey Chan, Charles L. A. Clarke, Mark Sanderson
A Location-Query-Browse Graph for Contextual Recommendation. IEEE Trans. Knowl. Data Eng. 30 (2) (2018)
Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel
A Preliminary Comparison of Job, Talent, and Web Search. IIR (2018)
Amin Sadri, Flora D. Salim, Yongli Ren, Wei Shao, John Krumm, Cecilia Mascolo
What Will You Do for the Rest of the Day?: An Approach to Continuous Trajectory Prediction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (4) (2018)
Mohammad Saiedur Rahaman, Yongli Ren, Margaret Hamilton, Flora D. Salim
Wait Time Prediction for Airport Taxis Using Weighted Nearest Neighbor Regression. IEEE Access 6 (2018)
Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson
Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs. BuildSys@SenSys (2018)
Elham Naghizade, Jeffrey Chan, Yongli Ren, Martin Tomko
Contextual Location Imputation for Confined WiFi Trajectories. PAKDD (2) (2018)
Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Zhifeng Bao
D-CARS: A Declarative Context-Aware Recommender System. ICDM (2018)
Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Majid Meghdadi, Mohsen Afsharchi, Yongli Ren
A Temporal Clustering Approach for Social Recommender Systems. ASONAM (2018)
Bilih Priyogi, Mark Sanderson, Flora D. Salim, Jeffrey Chan, Martin Tomko, Yongli Ren
Identifying In-App User Actions from Mobile Web Logs. PAKDD (2) (2018)
Yongli Ren, Martin Tomko, Flora D. Salim, Jeffrey Chan, Mark Sanderson
Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces. EPJ Data Sci. 7 (1) (2018)
Dong Qin, Xiangmin Zhou, Weiyi Zhou, Guangyan Huang, Yongli Ren, Ben Horan, Jing He, Naoki Kito
MSIM: A change detection framework for damage assessment in natural disasters. Expert Syst. Appl. 97 (2018)
Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel
Understanding User Behavior in Job and Talent Search: An Initial Investigation. eCOM@SIGIR (2017)
Amin Sadri, Flora D. Salim, Yongli Ren, Masoomeh Zameni, Jeffrey Chan, Timos Sellis
Shrink: Distance preserving graph compression. Inf. Syst. 69 (2017)
Amin Sadri, Yongli Ren, Flora D. Salim
Information gain-based metric for recognizing transitions in human activities. Pervasive Mob. Comput. 38 (2017)
Amin Sadri, Flora Dilys Salim, Yongli Ren
Full trajectory prediction: what will you do the rest of the day? UbiComp/ISWC Adjunct (2017)
Naoki Kito, Xiangmin Zhou, Dong Qin, Yongli Ren, Xiuzhen Zhang, James A. Thom
Change Detection from Media Sharing Community. APWeb/WAIM (1) (2017)
Yongli Ren, Flora Dilys Salim, Martin Tomko, Yuntian Brian Bai, Jeffrey Chan, Kyle Kai Qin, Mark Sanderson
D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate. Pervasive Mob. Comput. 37 (2017)
Yongli Ren, Martin Tomko, Flora Dilys Salim, Kevin Ong, Mark Sanderson
Analyzing Web behavior in indoor retail spaces. J. Assoc. Inf. Sci. Technol. 68 (1) (2017)
Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong
Privacy preserving data release for tagging recommender systems. Web Intell. 13 (4) (2015)
Yongli Ren, Martin Tomko, Flora D. Salim, Kevin Ong, Mark Sanderson
Analyzing Web Behavior in Indoor Retail Spaces. CoRR (2015)
Yongli Ren, Gang Li, Wanlei Zhou
A survey of recommendation techniques based on offline data processing. Concurr. Comput. Pract. Exp. 27 (15) (2015)
Tianqing Zhu, Gang Li, Lei Pan, Yongli Ren, Wanlei Zhou
Privacy preserving collaborative filtering for KNN attack resisting. Soc. Netw. Anal. Min. 4 (1) (2014)
Yuntian Brian Bai, Suqin Wu, Yongli Ren, Kevin Ong, Günther Retscher, Allison Kealy, Martin Tomko, Mark Sanderson, Hong Ren Wu, Kefei Zhang
A new approach for indoor customer tracking based on a single Wi-Fi connection. IPIN (2014)
Tianqing Zhu, Yongli Ren, Wanlei Zhou, Jia Rong, Ping Xiong
An effective privacy preserving algorithm for neighborhood-based collaborative filtering. Future Gener. Comput. Syst. 36 (2014)
Yongli Ren, Gang Li, Wanlei Zhou
Modelling personal preferences for Top-N movie recommendations. Web Intell. Agent Syst. 12 (3) (2014)
Yongli Ren, Martin Tomko, Kevin Ong, Mark Sanderson
How People Use the Web in Large Indoor Spaces. CIKM (2014)
Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou
The maximum imputation framework for neighborhood-based collaborative filtering. Soc. Netw. Anal. Min. 4 (1) (2014)
Yongli Ren, Gang Li, Wanlei Zhou
A learning method for Top-N recommendations with incomplete data. Soc. Netw. Anal. Min. 3 (4) (2013)
Yuan Yao, Feng Xu, Yongli Ren, Hanghang Tong, Jian Lü
SelfTrust: leveraging self-assessment for trust inference in Internetware. Sci. China Inf. Sci. 56 (10) (2013)
Yongli Ren, Gang Li, Wanlei Zhou
Recommendation Techniques Based on Off-Line Data Processing a Multifaceted Survey. SKG (2013)
Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou
AdaM: adaptive-maximum imputation for neighborhood-based collaborative filtering. ASONAM (2013)
Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou
Lazy Collaborative Filtering for Data Sets With Missing Values. IEEE Trans. Cybern. 43 (6) (2013)
Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong
Differential privacy for neighborhood-based collaborative filtering. ASONAM (2013)
Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong
Privacy Preserving for Tagging Recommender Systems. Web Intelligence (2013)
Yongli Ren, Tianqing Zhu, Gang Li, Wanlei Zhou
Top-N Recommendations by Learning User Preference Dynamics. PAKDD (2) (2013)
Yongli Ren, Gang Li, Wanlei Zhou
Learning Rating Patterns for Top-N Recommendations. ASONAM (2012)
Yongli Ren, Gang Li, Wanlei Zhou
Improving Top-N Recommendations with User Consuming Profiles. PRICAI (2012)
Yongli Ren, Gang Li, Wanlei Zhou
Learning User Preference Patterns for Top-N Recommendations. Web Intelligence (2012)
Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou
The efficient imputation method for neighborhood-based collaborative filtering. CIKM (2012)
Huy Quan Vu, Shaowu Liu, Xinghua Yang, Zhi Li, Yongli Ren
Identifying Microphone from Noisy Recordings by Using Representative Instance One Class-Classification Approach. J. Networks 7 (6) (2012)
Yangdong Ye, Yongli Ren, Gang Li
Using local density information to improve IB algorithms. Pattern Recognit. Lett. 32 (2) (2011)
Yu-Hsn Liu, Yongli Ren, Robert Dew
Monetising User Generated Content Using Data Mining Techniques. AusDM (2009)
Yongli Ren, Yu-Hsn Liu, Jia Rong, Robert Dew
Clustering Interval-valued Data Using an Overlapped Interval Divergence. AusDM (2009)
Jinlong Wang, Ke Gao, Yongli Ren, Gang Li
Journal ranking based on social information. JCDL (2009)
Yongli Ren, Yangdong Ye, Gang Li
The Density Connectivity Information Bottleneck. ICYCS (2008)

Yongli Ren.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yongli Ren