Yongli Ren

Orcid: 0000-0002-3137-9653

According to our database1, Yongli Ren authored at least 93 papers between 2008 and 2024.

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Bibliography

2024
Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation.
Trans. Recomm. Syst., June, 2024

SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series.
Trans. Mach. Learn. Res., 2024

Performance-Driven QUBO for Recommender Systems on Quantum Annealers.
CoRR, 2024

Reinforcement Learning for Tackling Energy-Saving and Energy-Balance Dilemma of Cluster-Based Routing Protocols in WSNs.
IEEE Access, 2024

Temporal Conformity-aware Hawkes Graph Network for Recommendations.
Proceedings of the ACM on Web Conference 2024, 2024

Reference-free review-based product question answering evaluation via distant contrastive learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

CRUISE on Quantum Computing for Feature Selection in Recommender Systems.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction.
ACM Trans. Spatial Algorithms Syst., June, 2023

Intensity-free Integral-based Learning of Marked Temporal Point Processes.
CoRR, 2023

A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

2022
The <i>Footprint</i> of Factorization Models and Their Applications in Collaborative Filtering.
ACM Trans. Inf. Syst., 2022

App usage on-the-move: Context- and commute-aware next app prediction.
Pervasive Mob. Comput., 2022

Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence.
Inf. Sci., 2022

Imagining future digital assistants at work: A study of task management needs.
Int. J. Hum. Comput. Stud., 2022

CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series.
CoRR, 2022

FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Translating Human Mobility Forecasting through Natural Language Generation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation.
ACM Trans. Inf. Syst., 2021

A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems.
Expert Syst. Appl., 2021

MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Construction of Information Platform of Ideology Education in Colleges and Universities Based on Web in Digital Age.
Proceedings of the ICISCAE 2021: 4th International Conference on Information Systems and Computer Aided Education, Dalian, China, September 24, 2021

Research on the Ways of Cultivating Teenagers' Scientific and Technological Innovation Ability Based on Matrix Algorithm.
Proceedings of the ICISCAE 2021: 4th International Conference on Information Systems and Computer Aided Education, Dalian, China, September 24, 2021

PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors.
ACM Trans. Sens. Networks, 2020

Solving multiple travelling officers problem with population-based optimization algorithms.
Neural Comput. Appl., 2020

A social recommender system based on reliable implicit relationships.
Knowl. Based Syst., 2020

A Fog-Based Recommender System.
IEEE Internet Things J., 2020

An Ambient-Physical System to Infer Concentration in Open-Plan Workplace.
IEEE Internet Things J., 2020

Seating preference analysis for hybrid workplaces.
CoRR, 2020

Relation Embedding for Personalised POI Recommendation.
CoRR, 2020

Improved Collaborative Filtering Recommendation Through Similarity Prediction.
IEEE Access, 2020

Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Relation Embedding for Personalised Translation-Based POI Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Can helpful reviews help answer product questions?
Proceedings of the 24th Pacific Asia Conference on Information Systems, 2020

A Privacy Preserving Aggregation Scheme for Fog-Based Recommender System.
Proceedings of the Network and System Security - 14th International Conference, 2020

Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life.
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

Reliable Customized Privacy-Preserving in Fog Computing.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

G-CREWE: Graph CompREssion With Embedding for Network Alignment.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Declarative User-Item Profiling Based Context-Aware Recommendation.
Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

2019
Root Cause Analysis of Traffic Anomalies Using Uneven Diffusion Model.
IEEE Access, 2019

J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

I-CARS: An Interactive Context-Aware Recommender System.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

A New Temporal Recommendation System based on Users' Similarity Prediction.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

A Probabilistic Graph-Based Method to Improve Recommender System Accuracy.
Proceedings of the Engineering Applications of Neural Networks, 2019

Learning About Work Tasks to Inform Intelligent Assistant Design.
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019

2018
A Location-Query-Browse Graph for Contextual Recommendation.
IEEE Trans. Knowl. Data Eng., 2018

What Will You Do for the Rest of the Day?: An Approach to Continuous Trajectory Prediction.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

MSIM: A change detection framework for damage assessment in natural disasters.
Expert Syst. Appl., 2018

Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces.
EPJ Data Sci., 2018

Wait Time Prediction for Airport Taxis Using Weighted Nearest Neighbor Regression.
IEEE Access, 2018

Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs.
Proceedings of the 5th Conference on Systems for Built Environments, 2018

Identifying In-App User Actions from Mobile Web Logs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Contextual Location Imputation for Confined WiFi Trajectories.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

A Preliminary Comparison of Job, Talent, and Web Search.
Proceedings of the 9th Italian Information Retrieval Workshop, 2018

D-CARS: A Declarative Context-Aware Recommender System.
Proceedings of the IEEE International Conference on Data Mining, 2018

A Temporal Clustering Approach for Social Recommender Systems.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Information gain-based metric for recognizing transitions in human activities.
Pervasive Mob. Comput., 2017

D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate.
Pervasive Mob. Comput., 2017

Analyzing Web behavior in indoor retail spaces.
J. Assoc. Inf. Sci. Technol., 2017

Shrink: Distance preserving graph compression.
Inf. Syst., 2017

Understanding User Behavior in Job and Talent Search: An Initial Investigation.
Proceedings of the SIGIR 2017 Workshop On eCommerce co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Full trajectory prediction: what will you do the rest of the day?
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

Change Detection from Media Sharing Community.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

2015
Privacy preserving data release for tagging recommender systems.
Web Intell., 2015

A survey of recommendation techniques based on offline data processing.
Concurr. Comput. Pract. Exp., 2015

2014
Modelling personal preferences for Top-N movie recommendations.
Web Intell. Agent Syst., 2014

Privacy preserving collaborative filtering for KNN attack resisting.
Soc. Netw. Anal. Min., 2014

The maximum imputation framework for neighborhood-based collaborative filtering.
Soc. Netw. Anal. Min., 2014

An effective privacy preserving algorithm for neighborhood-based collaborative filtering.
Future Gener. Comput. Syst., 2014

A new approach for indoor customer tracking based on a single Wi-Fi connection.
Proceedings of the 2014 International Conference on Indoor Positioning and Indoor Navigation, 2014

How People Use the Web in Large Indoor Spaces.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Lazy Collaborative Filtering for Data Sets With Missing Values.
IEEE Trans. Cybern., 2013

A learning method for Top-N recommendations with incomplete data.
Soc. Netw. Anal. Min., 2013

SelfTrust: leveraging self-assessment for trust inference in Internetware.
Sci. China Inf. Sci., 2013

Privacy Preserving for Tagging Recommender Systems.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Recommendation Techniques Based on Off-Line Data Processing a Multifaceted Survey.
Proceedings of the Ninth International Conference on Semantics, Knowledge and Grids, 2013

Top-N Recommendations by Learning User Preference Dynamics.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Differential privacy for neighborhood-based collaborative filtering.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

AdaM: adaptive-maximum imputation for neighborhood-based collaborative filtering.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Identifying Microphone from Noisy Recordings by Using Representative Instance One Class-Classification Approach.
J. Networks, 2012

Learning User Preference Patterns for Top-N Recommendations.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Improving Top-N Recommendations with User Consuming Profiles.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

The efficient imputation method for neighborhood-based collaborative filtering.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Learning Rating Patterns for Top-N Recommendations.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Using local density information to improve IB algorithms.
Pattern Recognit. Lett., 2011

2009
Journal ranking based on social information.
Proceedings of the 2009 Joint International Conference on Digital Libraries, 2009

Clustering Interval-valued Data Using an Overlapped Interval Divergence.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

Monetising User Generated Content Using Data Mining Techniques.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2008
The Density-Based Agglomerative Information Bottleneck.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

The Density Connectivity Information Bottleneck.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008


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