Jing Li
Orcid: 0000-0002-6713-0104Affiliations:
- Northwest Normal University, College of Computer Science and Engineering, Lanzhou, China
According to our database1,
Jing Li authored at least 22 papers
between 2012 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Ec-tfs: incorporating extended capsule networks and time-frequency spectrum into time series classification.
Int. J. Data Sci. Anal., June, 2026
WaveState: A parallel selective state-space attention model with class-adaptive time-frequency features for multivariate time series classification.
Knowl. Based Syst., 2026
2025
Multimodal selective state space model-based time series classification for electricity theft detection.
Expert Syst. Appl., 2025
2024
PV-DETR: A Multimodal Fault Detection Model of PV Arrays based on Parallel Block Attention.
Proceedings of the IEEE International Conference on Big Data, 2024
Clustering of Students' Behavior Using the GPT-2 Module Based on the Macroscopic Attention Model.
Proceedings of the IEEE International Conference on Big Data, 2024
2023
GCN- and GRU-Based Intelligent Model for Temperature Prediction of Local Heating Surfaces.
IEEE Trans. Ind. Informatics, April, 2023
Enhanced Segmentation of PV Arrays in Infrared Images using an Improved SegFormer Approach.
Proceedings of the IEEE International Conference on Big Data, 2023
Anomaly detection method combining sample subspace distribution and generative models.
Proceedings of the 6th International Conference on Algorithms, 2023
2022
Proceedings of the IEEE International Conference on Big Data, 2022
Psychological Attention-based Analytics of Multivariate Campus Behaviors of University Students.
Proceedings of the IEEE International Conference on Big Data, 2022
Pavement Condition Detection Method Based on Time-Frequency Features and Capsule Neural Network.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022
2021
Spatio-temporal Clustering based on HHT and Its Applications in Thermal Boiler Controlling.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
An Approach to Detecting Diabetic Retinopathy Based on Integrated Shallow Convolutional Neural Networks.
IEEE Access, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Training Back Propagation Neural Networks in MapReduce on High-Dimensional Big Datasets With Global Evolution.
IEEE Access, 2019
Benchmarking Discretisation Level of Continuous Attributes: Theoretical and Experimental Approaches.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Enhancing the MapReduce training of BP neural networks based on local weight matrix evolution.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2014
Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud.
Proceedings of the 2014 IEEE World Congress on Services, 2014
2012
Proceedings of the 3rd International Conference on Ambient Systems, 2012
Proceedings of the Sixth International Symposium on Theoretical Aspects of Software Engineering, 2012