Jiaxi Li
Orcid: 0000-0001-9108-5676
According to our database1,
Jiaxi Li
authored at least 33 papers
between 2016 and 2024.
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Bibliography
2024
Method for Incomplete and Imbalanced Data Based on Multivariate Imputation by Chained Equations and Ensemble Learning.
IEEE J. Biomed. Health Informatics, May, 2024
Expert Syst. Appl., January, 2024
Self-Mining the Confident Prototypes for Source-Free Unsupervised Domain Adaptation in Image Segmentation.
IEEE Trans. Multim., 2024
Signal Process. Image Commun., 2024
J. Electronic Imaging, 2024
A comprehensive evaluation method for frailty based on semi-supervised learning and transfer-learning.
Inf. Fusion, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024
2023
Physical Fitness Assessment for Cancer Patients Using Multi-Model Decision Fusion Based on Multi-Source Data.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023
Inf. Fusion, 2023
Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan.
CoRR, 2023
Network pharmacology and LC-MS approachs to explore the active compounds and mechanisms of Yuanjiang decoction for treating bradyarrhythmia.
Comput. Biol. Medicine, 2023
Latency-Aware 360-Degree Video Analytics Framework for First Responders Situational Awareness.
Proceedings of the 33rd Workshop on Network and Operating System Support for Digital Audio and Video, 2023
Proceedings of the IEEE International Symposium on Multimedia, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
Suprachoroidal Retinal Stimulation Leveraging Temporal Interference Technology: A Modelling Study.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023
Proceedings of the 6th International Conference on Artificial Intelligence and Pattern Recognition, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
Contextual Distortion Reveals Constituency: Masked Language Models are Implicit Parsers.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
A Deployment-Efficient Energy Management Strategy for Connected Hybrid Electric Vehicle Based on Offline Reinforcement Learning.
IEEE Trans. Ind. Electron., 2022
Global asymptotic stability in mean for stochastic complex networked control systems.
Commun. Nonlinear Sci. Numer. Simul., 2022
An interpretable DIC risk prediction model based on convolutional neural networks with time series data.
BMC Bioinform., 2022
2021
Shifting Deep Reinforcement Learning Algorithm Toward Training Directly in Transient Real-World Environment: A Case Study in Powertrain Control.
IEEE Trans. Ind. Informatics, 2021
An Edge Computing Framework for Powertrain Control System Optimization of Intelligent and Connected Vehicles Based on Curiosity-Driven Deep Reinforcement Learning.
IEEE Trans. Ind. Electron., 2021
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021
2019
Reinforcement Learning Approach to Design Practical Adaptive Control for a Small-Scale Intelligent Vehicle.
Symmetry, 2019
2018
Proceedings of the IEEE Pacific Visualization Symposium, 2018
2017
Improved performance of face recognition using CNN with constrained triplet loss layer.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
A novel stacked denoising autoencoder with swarm intelligence optimization for stock index prediction.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Hyper-parameter Optimization of Sticky HDP-HMM Through an Enhanced Particle Swarm Optimization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016