default search action
Yongli Ren
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j37]Yan Wang
, Ke Deng
Reinforcement Learning for Tackling Energy-Saving and Energy-Balance Dilemma of Cluster-Based Routing Protocols in WSNs. IEEE Access 12: 148090-148110 (2024) - [j36]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) - [j35]Xiangmin Zhou
Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation. Trans. Recomm. Syst. 2(2): 14:1-14:23 (2024) - [c51]Jiayang Niu, Jie Li, Ke Deng, Yongli Ren:
CRUISE on Quantum Computing for Feature Selection in Recommender Systems. CLEF (Working Notes) 2024: 3096-3104 - [c50]Tony Danhui Huang, Yongli Ren, Lifang Wu, Xiuzhen Zhang:
Reference-free review-based product question answering evaluation via distant contrastive learning. IJCNN 2024: 1-8 - [c49]Chenglong Ma
Temporal Conformity-aware Hawkes Graph Network for Recommendations. WWW 2024: 3185-3194 - [i15]Jiayang Niu, Jie Li, Ke Deng, Yongli Ren:
CRUISE on Quantum Computing for Feature Selection in Recommender Systems. CoRR abs/2407.02839 (2024) - 2023
- [j34]Kyle Kai Qin
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction. ACM Trans. Spatial Algorithms Syst. 9(2): 15:1-15:22 (2023) - [c48]Kyle Kai Qin, Mohammad Saiedur Rahaman
A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality. MDM 2023: 89-95 - [i14]Kyle Kai Qin, Yongli Ren, Wei Shao
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction. CoRR abs/2301.04482 (2023) - [i13]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 abs/2306.11773 (2023) - [i12]Sishun Liu, Ke Deng, Xiuzhen Zhang, Yongli Ren:
Intensity-free Integral-based Learning of Marked Temporal Point Processes. CoRR abs/2308.02360 (2023) - 2022
- [j33]Yonchanok Khaokaew
Imagining future digital assistants at work: A study of task management needs. Int. J. Hum. Comput. Stud. 168: 102905 (2022) - [j32]Nima Joorabloo, Mahdi Jalili
Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence. Inf. Sci. 601: 242-254 (2022) - [j31]Yufan Kang
App usage on-the-move: Context- and commute-aware next app prediction. Pervasive Mob. Comput. 87: 101704 (2022) - [j30]Jinze Wang
The Footprint of Factorization Models and Their Applications in Collaborative Filtering. ACM Trans. Inf. Syst. 40(4): 71:1-71:32 (2022) - [c47]Chenglong Ma
NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution. CIKM 2022: 1430-1440 - [c46]Chenglong Ma
Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering. SIGIR 2022: 1984-1989 - [c45]Hao Xue
Translating Human Mobility Forecasting through Natural Language Generation. WSDM 2022: 1224-1233 - [c44]Jie Li
FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback. WWW 2022: 297-307 - [i11]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
Imagining Future Digital Assistants at Work: A Study of Task Management Needs. CoRR abs/2208.03443 (2022) - [i10]Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series. CoRR abs/2212.03560 (2022) - 2021
- [j29]Nima Joorabloo, Mahdi Jalili
A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems. Expert Syst. Appl. 184: 115485 (2021) - [j28]Elisa Mena-Maldonado
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation. ACM Trans. Inf. Syst. 39(3): 36:1-36:43 (2021) - [c43]Futoon M. Abushaqra, Hao Xue
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. ICDM 2021: 976-981 - [c42]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: 42-46 - [c41]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: 2348-2352 - [c40]Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver:
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. NeurIPS 2021: 30380-30391 - [i9]Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. CoRR abs/2110.00071 (2021) - [i8]Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver:
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. CoRR abs/2110.01401 (2021) - [i7]Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke:
Translating Human Mobility Forecasting through Natural Language Generation. CoRR abs/2112.11481 (2021) - 2020
- [j27]Nima Joorabloo
Improved Collaborative Filtering Recommendation Through Similarity Prediction. IEEE Access 8: 202122-202132 (2020) - [j26]Xiaodong Wang
A Fog-Based Recommender System. IEEE Internet Things J. 7(2): 1048-1060 (2020) - [j25]Mohammad Saiedur Rahaman
An Ambient-Physical System to Infer Concentration in Open-Plan Workplace. IEEE Internet Things J. 7(12): 11576-11586 (2020) - [j24]Sajad Ahmadian
A social recommender system based on reliable implicit relationships. Knowl. Based Syst. 192: 105371 (2020) - [j23]Kyle Kai Qin, Wei Shao
Solving multiple travelling officers problem with population-based optimization algorithms. Neural Comput. Appl. 32(16): 12033-12059 (2020) - [j22]Manpreet Kaur, Flora D. Salim
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. ACM Trans. Sens. Networks 16(3): 28:1-28:25 (2020) - [c39]Rosni Lumbantoruan
Declarative User-Item Profiling Based Context-Aware Recommendation. ADMA 2020: 413-427 - [c38]Kyle Kai Qin, Flora D. Salim, Yongli Ren, Wei Shao
G-CREWE: Graph CompREssion With Embedding for Network Alignment. CIKM 2020: 1255-1264 - [c37]Xiaodong Wang
Reliable Customized Privacy-Preserving in Fog Computing. ICC 2020: 1-6 - [c36]Jonathan Liono, Mohammad Saiedur Rahaman
Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life. ICMR 2020: 472-478 - [c35]Xiaodong Wang
A Privacy Preserving Aggregation Scheme for Fog-Based Recommender System. NSS 2020: 408-418 - [c34]Tony Danhui Huang, Xiuzhen Zhang, Yongli Ren, Min Peng:
Can helpful reviews help answer product questions? PACIS 2020: 4 - [c33]Xianjing Wang, Flora D. Salim
Relation Embedding for Personalised Translation-Based POI Recommendation. PAKDD (1) 2020: 53-64 - [c32]Elisa Mena-Maldonado
Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation. SIGIR 2020: 841-850 - [i6]Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz:
Relation Embedding for Personalised POI Recommendation. CoRR abs/2002.03461 (2020) - [i5]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 abs/2005.13535 (2020) - [i4]Mohammad Saiedur Rahaman, Shaw Kudo, Tim Rawling, Yongli Ren, Flora D. Salim:
Seating preference analysis for hybrid workplaces. CoRR abs/2007.15807 (2020) - [i3]Kyle Kai Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra:
G-CREWE: Graph CompREssion With Embedding for Network Alignment. CoRR abs/2007.16208 (2020) - [i2]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 abs/2008.11400 (2020)
2010 – 2019
- 2019
- [j21]Guang-Li Huang
Root Cause Analysis of Traffic Anomalies Using Uneven Diffusion Model. IEEE Access 7: 16206-16216 (2019) - [c31]Johanne R. Trippas
Learning About Work Tasks to Inform Intelligent Assistant Design. CHIIR 2019: 5-14 - [c30]Nima Joorabloo
A Probabilistic Graph-Based Method to Improve Recommender System Accuracy. EANN 2019: 151-163 - [c29]Nima Joorabloo, Mahdi Jalili, Yongli Ren:
A New Temporal Recommendation System based on Users' Similarity Prediction. KDIR 2019: 555-560 - [c28]Rosni Lumbantoruan
I-CARS: An Interactive Context-Aware Recommender System. ICDM 2019: 1240-1245 - [c27]Mohammad Saiedur Rahaman
OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace. PerCom Workshops 2019: 415-418 - [c26]P. V. S. Avinesh, Yongli Ren, Christian M. Meyer, Jeffrey Chan
J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation. ECML/PKDD (3) 2019: 339-355 - 2018
- [j20]Mohammad Saiedur Rahaman
Wait Time Prediction for Airport Taxis Using Weighted Nearest Neighbor Regression. IEEE Access 6: 74660-74672 (2018) - [j19]Yongli Ren
Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces. EPJ Data Sci. 7(1): 1 (2018) - [j18]Dong Qin, Xiangmin Zhou, Weiyi Zhou, Guangyan Huang, Yongli Ren
MSIM: A change detection framework for damage assessment in natural disasters. Expert Syst. Appl. 97: 372-383 (2018) - [j17]Amin Sadri, Flora D. Salim
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): 186:1-186:26 (2018) - [j16]Yongli Ren
A Location-Query-Browse Graph for Contextual Recommendation. IEEE Trans. Knowl. Data Eng. 30(2): 204-218 (2018) - [c25]Sajad Ahmadian
A Temporal Clustering Approach for Social Recommender Systems. ASONAM 2018: 1139-1144 - [c24]Rosni Lumbantoruan
D-CARS: A Declarative Context-Aware Recommender System. ICDM 2018: 1152-1157 - [c23]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 - [c22]Bilih Priyogi, Mark Sanderson
Identifying In-App User Actions from Mobile Web Logs. PAKDD (2) 2018: 300-311 - [c21]Elham Naghizade, Jeffrey Chan
Contextual Location Imputation for Confined WiFi Trajectories. PAKDD (2) 2018: 444-457 - [c20]Manpreet Kaur, Flora D. Salim
Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs. BuildSys@SenSys 2018: 130-139 - 2017
- [j15]Amin Sadri, Flora D. Salim
Shrink: Distance preserving graph compression. Inf. Syst. 69: 180-193 (2017) - [j14]Yongli Ren
Analyzing Web behavior in indoor retail spaces. J. Assoc. Inf. Sci. Technol. 68(1): 62-76 (2017) - [j13]Yongli Ren
D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate. Pervasive Mob. Comput. 37: 94-114 (2017) - [j12]Amin Sadri, Yongli Ren
Information gain-based metric for recognizing transitions in human activities. Pervasive Mob. Comput. 38: 92-109 (2017) - [c19]Naoki Kito, Xiangmin Zhou, Dong Qin, Yongli Ren, Xiuzhen Zhang, James A. Thom:
Change Detection from Media Sharing Community. APWeb/WAIM (1) 2017: 391-398 - [c18]Amin Sadri, Flora Dilys Salim
Full trajectory prediction: what will you do the rest of the day? UbiComp/ISWC Adjunct 2017: 189-192 - [c17]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 - 2015
- [j11]Yongli Ren
A survey of recommendation techniques based on offline data processing. Concurr. Comput. Pract. Exp. 27(15): 3915-3942 (2015) - [j10]Tianqing Zhu, Gang Li
Privacy preserving data release for tagging recommender systems. Web Intell. 13(4): 229-246 (2015) - [i1]Yongli Ren, Martin Tomko, Flora D. Salim, Kevin Ong, Mark Sanderson:
Analyzing Web Behavior in Indoor Retail Spaces. CoRR abs/1506.05628 (2015) - 2014
- [j9]Tianqing Zhu, Yongli Ren
An effective privacy preserving algorithm for neighborhood-based collaborative filtering. Future Gener. Comput. Syst. 36: 142-155 (2014) - [j8]Tianqing Zhu, Gang Li
Privacy preserving collaborative filtering for KNN attack resisting. Soc. Netw. Anal. Min. 4(1): 196 (2014) - [j7]Yongli Ren
The maximum imputation framework for neighborhood-based collaborative filtering. Soc. Netw. Anal. Min. 4(1): 207 (2014) - [j6]Yongli Ren
Modelling personal preferences for Top-N movie recommendations. Web Intell. Agent Syst. 12(3): 289-307 (2014) - [c16]Yongli Ren
How People Use the Web in Large Indoor Spaces. CIKM 2014: 1879-1882 - [c15]Yuntian Brian Bai, Suqin Wu, Yongli Ren
A new approach for indoor customer tracking based on a single Wi-Fi connection. IPIN 2014: 239-245 - 2013
- [j5]Yuan Yao, Feng Xu, Yongli Ren
SelfTrust: leveraging self-assessment for trust inference in Internetware. Sci. China Inf. Sci. 56(10): 1-14 (2013) - [j4]Yongli Ren
A learning method for Top-N recommendations with incomplete data. Soc. Netw. Anal. Min. 3(4): 1135-1148 (2013) - [j3]Yongli Ren
Lazy Collaborative Filtering for Data Sets With Missing Values. IEEE Trans. Cybern. 43(6): 1822-1834 (2013) - [c14]Yongli Ren
AdaM: adaptive-maximum imputation for neighborhood-based collaborative filtering. ASONAM 2013: 628-635 - [c13]Tianqing Zhu, Gang Li
Differential privacy for neighborhood-based collaborative filtering. ASONAM 2013: 752-759 - [c12]Yongli Ren, Tianqing Zhu, Gang Li
Top-N Recommendations by Learning User Preference Dynamics. PAKDD (2) 2013: 390-401 - [c11]Yongli Ren
Recommendation Techniques Based on Off-Line Data Processing a Multifaceted Survey. SKG 2013: 6-13 - [c10]Tianqing Zhu, Gang Li
Privacy Preserving for Tagging Recommender Systems. Web Intelligence 2013: 81-88 - 2012
- [j2]Huy Quan Vu, Shaowu Liu
Identifying Microphone from Noisy Recordings by Using Representative Instance One Class-Classification Approach. J. Networks 7(6): 908-917 (2012) - [c9]Yongli Ren
Learning Rating Patterns for Top-N Recommendations. ASONAM 2012: 472-479 - [c8]Yongli Ren
The efficient imputation method for neighborhood-based collaborative filtering. CIKM 2012: 684-693 - [c7]Yongli Ren, Gang Li
Improving Top-N Recommendations with User Consuming Profiles. PRICAI 2012: 887-890 - [c6]Yongli Ren
Learning User Preference Patterns for Top-N Recommendations. Web Intelligence 2012: 137-144 - 2011
- [j1]Yangdong Ye, Yongli Ren
Using local density information to improve IB algorithms. Pattern Recognit. Lett. 32(2): 310-320 (2011)
2000 – 2009
- 2009
- [c5]Yongli Ren, Yu-Hsn Liu, Jia Rong, Robert Dew:
Clustering Interval-valued Data Using an Overlapped Interval Divergence. AusDM 2009: 35-42 - [c4]Yu-Hsn Liu, Yongli Ren, Robert Dew:
Monetising User Generated Content Using Data Mining Techniques. AusDM 2009: 75-82 - [c3]Jinlong Wang, Ke Gao, Yongli Ren
Journal ranking based on social information. JCDL 2009: 453-454 - 2008
- [c2]Yongli Ren
The Density Connectivity Information Bottleneck. ICYCS 2008: 1783-1788 - [c1]Yongli Ren, Yangdong Ye, Gang Li
The Density-Based Agglomerative Information Bottleneck. PRICAI 2008: 333-344
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 21:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: