Yuanbo Xu
Orcid: 0000-0001-8370-5011
According to our database1,
Yuanbo Xu
authored at least 51 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Knowl. Data Eng., October, 2024
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
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
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
Appl. Intell., May, 2023
Dynamic traffic correlations based spatio-temporal graph convolutional network for urban traffic prediction.
Inf. Sci., April, 2023
IEEE Trans. Veh. Technol., March, 2023
CoRR, 2023
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
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
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022
Knowl. Based Syst., 2022
J. Comput. Sci. Technol., 2022
Neurocomputing, 2022
Generating Self-Serendipity Preference in Recommender Systems for Addressing Cold Start Problems.
CoRR, 2022
Proceedings of the IEEE INFOCOM 2022, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022
2021
Neurocomputing, 2021
Super Resolution Deduction: Inferring Fine-Grained Capacity for Urban Signal Station Deployment.
IEEE Access, 2021
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021
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
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
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
J. Parallel Distributed Comput., 2020
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020
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
Neurocomputing, 2017
2016
Concurr. Comput. Pract. Exp., 2016
Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Networks, 2016