Yuanbo Xu

Orcid: 0000-0001-8370-5011

According to our database1, Yuanbo Xu authored at least 51 papers between 2016 and 2024.

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Bibliography

2024
Spatial-Temporal Interval Aware Individual Future Trajectory Prediction.
IEEE Trans. Knowl. Data Eng., October, 2024

An adaptive category-aware recommender based on dual knowledge graphs.
Inf. Process. Manag., March, 2024

GS-RS: A Generative Approach for Alleviating Cold Start and Filter Bubbles in Recommender Systems.
IEEE Trans. Knowl. Data Eng., February, 2024

An Efficient Deployment Scheme With Network Performance Modeling for Underwater Wireless Sensor Networks.
IEEE Internet Things J., 2024

Deeply Fusing Semantics and Interactions for Item Representation Learning via Topology-driven Pre-training.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Hierarchical Reinforcement Learning for Point of Interest Recommendation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Zone-Enhanced Spatio-Temporal Representation Learning for Urban POI Recommendation.
IEEE Trans. Knowl. Data Eng., September, 2023

Improved Adaptive Multipoint Optimal Minimum Entropy Deconvolution and Application on Bearing Fault Detection in Random Impulsive Noise Environments.
Entropy, August, 2023

Truthful User Recruitment for Cooperative Crowdsensing Task: A Combinatorial Multi-Armed Bandit Approach.
IEEE Trans. Mob. Comput., July, 2023

SEN-FCB: an unsupervised twinning neural network for image registration.
Appl. Intell., May, 2023

Dynamic traffic correlations based spatio-temporal graph convolutional network for urban traffic prediction.
Inf. Sci., April, 2023

Limi-TFP: Citywide Traffic Flow Prediction With Limited Road Status Information.
IEEE Trans. Veh. Technol., March, 2023

DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops.
CoRR, 2023

Causal Structure Representation Learning of Confounders in Latent Space for Recommendation.
CoRR, 2023

Separating and Learning Latent Confounders to Enhancing User Preferences Modeling.
CoRR, 2023

Revenge of MLP in Sequential Recommendation.
CoRR, 2023

Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift.
Proceedings of the IEEE International Conference on Data Mining, 2023

Deep Generative Imputation Model for Missing Not At Random Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Duet Representation Learning with Entity Multi-attribute Information in Knowledge Graphs.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Learning Knowledge Representation with Entity Concept Information.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Detect Professional Malicious User With Metric Learning in Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022

A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022

Symmetric transformer-based network for unsupervised image registration.
Knowl. Based Syst., 2022

Distributed Game-Theoretical D2D-Enabled Task Offloading in Mobile Edge Computing.
J. Comput. Sci. Technol., 2022

Real-time POI recommendation via modeling long- and short-term user preferences.
Neurocomputing, 2022

Generating Self-Serendipity Preference in Recommender Systems for Addressing Cold Start Problems.
CoRR, 2022

Spatiotemporal Fracture Data Inference in Sparse Urban CrowdSensing.
Proceedings of the IEEE INFOCOM 2022, 2022

Spatial-Temporal Interval Aware Sequential POI Recommendation.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Fine-Grained Urban Flow Inferring via Conditional Generative Adversarial Networks.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
Citywide road-network traffic monitoring using large-scale mobile signaling data.
Neurocomputing, 2021

Super Resolution Deduction: Inferring Fine-Grained Capacity for Urban Signal Station Deployment.
IEEE Access, 2021

Distributed Game-Theoretical Task Offloading for Mobile Edge Computing.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Exploiting Outlier Value Effects in Sparse Urban CrowdSensing.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

ToP: Time-dependent Zone-enhanced Points-of-interest Embedding-based Explainable Recommender system.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Neural Serendipity Recommendation: Exploring the Balance between Accuracy and Novelty with Sparse Explicit Feedback.
ACM Trans. Knowl. Discov. Data, 2020

Budgeted video replacement policy in mobile crowdsensing.
J. Parallel Distributed Comput., 2020

Combinatorial Multi-Armed Bandit Based User Recruitment in Mobile Crowdsensing.
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020

Analysis of Public Transport System Efficiency Based on Multi-layer Network.
Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020

2019
NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks.
Neural Networks, 2019

Slanderous user detection with modified recurrent neural networks in recommender system.
Inf. Sci., 2019

Deep Latent Factor Model with Hierarchical Similarity Measure for recommender systems.
Inf. Sci., 2019

Improving Recommendations by Embedding Multi-Entity Relationships With Latent Dual-Metric Learning.
IEEE Access, 2019

2018
Improving Existing Collaborative Filtering Recommendations via Serendipity-Based Algorithm.
IEEE Trans. Multim., 2018

Exploring influence maximization in online and offline double-layer propagation scheme.
Inf. Sci., 2018

Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Efficient traffic congestion estimation using multiple spatio-temporal properties.
Neurocomputing, 2017

2016
Building text classifiers using positive, unlabeled and 'outdated' examples.
Concurr. Comput. Pract. Exp., 2016

A Low Power Balanced Security Control Protocol of WSN.
Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Networks, 2016


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