Xiaoyu Shi
Orcid: 0000-0002-4267-7795Affiliations:
- Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, Key Laboratory of Big Data and Intelligent Computing, Chongqing, China
According to our database1,
Xiaoyu Shi
authored at least 38 papers
between 2014 and 2024.
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Bibliography
2024
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.
ACM Trans. Inf. Syst., March, 2024
IEEE Trans. Knowl. Data Eng., February, 2024
Inf. Sci., February, 2024
IEEE Trans. Serv. Comput., 2024
Inf. Sci., 2024
Hierarchical Reinforcement Learning for Long-term Fairness in Interactive Recommendation.
Proceedings of the IEEE International Conference on Web Services, 2024
2023
Neurocomputing, September, 2023
Graph neural networks via contrast between separation and aggregation for self and neighborhood.
Expert Syst. Appl., August, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Web Services, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
A Self-decoupled Interpretable Prediction Framework for Highly-Variable Cloud Workloads.
Proceedings of the Database Systems for Advanced Applications, 2023
Contrastive Learning based Item Representation with Asymmetric Augmentation for Sequential Recommendation.
Proceedings of the 2nd International Conference on Algorithms, 2023
2022
Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems.
IEEE Trans. Big Data, 2022
Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2022
Performance and Cost-Aware Task Scheduling via Deep Reinforcement Learning in Cloud Environment.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022
2021
Dynamical Conventional Neural Network Channel Pruning by Genetic Wavelet Channel Search for Image Classification.
Frontiers Comput. Neurosci., 2021
Joint Modeling Dynamic Preferences of Users and Items Using Reviews for Sequential Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Siamese Generative Adversarial Predicting Network for Extremely Sparse Data in Recommendation System.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021
Proceedings of the 15th IEEE International Conference on Big Data Science and Engineering, 2021
2020
seIMC: A GSW-Based Secure and Efficient Integer Matrix Computation Scheme With Implementation.
IEEE Access, 2020
A Clustering-Based Collaborative Filtering Recommendation Algorithm via Deep Learning User Side Information.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020
Proceedings of the Big Data - 8th CCF Conference, 2020
2019
Neurocomputing, 2019
IEEE Access, 2019
A Deep Temporal Collaborative Filtering Recommendation Framework via Joint Learning from Long and Short-Term Effects.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019
Random Forest-Based Ensemble Estimator for Concrete Compressive Strength Prediction via AdaBoost Method.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
A Deep Self-learning Classification Framework for Incomplete Medical Patents with Multi-label.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
SLAs-Aware Online Task Scheduling Based on Deep Reinforcement Learning Method in Cloud Environment.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
2018
On minimizing total energy consumption in the scheduling of virtual machine reservations.
J. Netw. Comput. Appl., 2018
Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018
Proceedings of the 2018 2nd International Conference on Deep Learning Technologies, 2018
2017
Long-term performance of collaborative filtering based recommenders in temporally evolving systems.
Neurocomputing, 2017
2016
PAPMSC: Power-Aware Performance Management Approach for Virtualized Web Servers via Stochastic Control.
J. Grid Comput., 2016
Identifying emerging influential Nodes in evolving networks: Exploiting strength of weak nodes.
CoRR, 2016
2015
Power-aware performance management of virtualized enterprise servers via robust adaptive control.
Clust. Comput., 2015
2014
Power-efficient resource management for co-located virtualized web servers: A stochastic control approach.
Proceedings of the International Green Computing Conference, 2014