Xizhe Wang
Orcid: 0009-0001-5499-6507
According to our database1,
Xizhe Wang
authored at least 24 papers
between 2014 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Mitigating Accuracy-Robustness Trade-Off via Balanced Multi-Teacher Adversarial Distillation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Adaptive Model-Based Reinforcement Learning for Fast-Charging Optimization of Lithium-Ion Batteries.
IEEE Trans. Ind. Informatics, January, 2024
ChatPRCS: A Personalized Support System for English Reading Comprehension Based on ChatGPT.
IEEE Trans. Learn. Technol., 2024
Deep Reinforcement Learning-Based Symbolic Regression for PDE Discovery Using Spatio-Temporal Rewards.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
A Novel Intelligent Method for Fault Diagnosis of Steam Turbines Based on T-SNE and XGBoost.
Algorithms, February, 2023
CoRR, 2023
Mitigating the Accuracy-Robustness Trade-off via Multi-Teacher Adversarial Distillation.
CoRR, 2023
A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the IEEE International Conference on E-health Networking, 2023
A Greedy Algorithm-Based Self-Training Pipeline for Expansion of Dental Caries Dataset.
Proceedings of the IEEE International Conference on E-health Networking, 2023
Proceedings of the IEEE International Conference on E-health Networking, 2023
2022
Investigating students' emotional self-efficacy profiles and their relations to self-regulation, motivation, and academic performance in online learning contexts: A person-centered approach.
Educ. Inf. Technol., 2022
Constrained Bayesian Optimization for Minimum-Time Charging of Lithium-Ion Batteries.
IEEE Control. Syst. Lett., 2022
2021
Fine-grained learning performance prediction via adaptive sparse self-attention networks.
Inf. Sci., 2021
Inf. Sci., 2021
2020
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
2019
Learning performance prediction via convolutional GRU and explainable neural networks in e-learning environments.
Computing, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
2018
Type theory based semantic verification for service composition in cloud computing environments.
Inf. Sci., 2018
2015
Proceedings of the Wireless Algorithms, Systems, and Applications, 2015
Proceedings of the 2015 IEEE International Conference on Communications, 2015
2014
Improving the Indoor Localization Accuracy for CPS by Reorganizing the Fingerprint Signatures.
Int. J. Distributed Sens. Networks, 2014