Jia Cai
Orcid: 0000-0001-8942-8668
According to our database1,
Jia Cai
authored at least 52 papers
between 2009 and 2024.
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Bibliography
2024
Adaptive Distributed Cooperative Tracking Control and Application for Multiagent Formation Under Communication Constraints.
IEEE Trans. Aerosp. Electron. Syst., August, 2024
Database J. Biol. Databases Curation, January, 2024
Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration-Based Approach.
Neural Comput., 2024
Noise Perturbation Based Graph Contrastive Learning via Flexible Filters for Node Classification.
Proceedings of the International Joint Conference on Neural Networks, 2024
Instruct-Code-Llama: Improving Capabilities of Language Model in Competition Level Code Generation by Online Judge Feedback.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
2023
Expert Syst. Appl., May, 2023
WAD-CMSN: Wasserstein distance-based cross-modal semantic network for zero-shot sketch-based image retrieval.
Int. J. Wavelets Multiresolution Inf. Process., March, 2023
A novel multi-level image segmentation algorithm via random opposition learning-based Aquila optimizer.
Int. J. Wavelets Multiresolution Inf. Process., 2023
Filter-Based Fault Detection and Isolation in Distributed Parameter Systems Modeled by Parabolic Partial Differential Equations.
IEEE Access, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Multimodal emotion recognition based on long-distance modeling and multi-source data fusion.
Proceedings of the International Conference on Computers, 2023
Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
A Novel Biologically Inspired Approach for Clustering and Multi-Level Image Thresholding: Modified Harris Hawks Optimizer.
Cogn. Comput., 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Deep Heterogeneous Graph Neural Networks via Similarity Regularization Loss and Hierarchical Fusion.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
HKSR: A Research of Code-Switching Hong Kong Cantonese Speech Recognition Based on Multi-task Rescoring Strategy.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
2020
Math. Found. Comput., 2020
Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach.
CoRR, 2020
CoRR, 2020
Database J. Biol. Databases Curation, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
Extracting and Matching Lines of Low-Textured Region in Close-Range Navigation for Tethered Space Robot.
IEEE Trans. Ind. Electron., 2019
ℓ<sub>0</sub>-based sparse canonical correlation analysis with application to cross-language document retrieval.
Neurocomputing, 2019
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019
Fault Detection and Estimation for a Class of Nonlinear Distributed Parameter Systems.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019
CBConv: Service for Automatic Conversion of Chinese Characters into Braille with High Accuracy.
Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
A new randomized Kaczmarz based kernel canonical correlation analysis algorithm with applications to information retrieval.
Neural Networks, 2018
2017
IEEE Trans. Aerosp. Electron. Syst., 2017
Constrained ERM Learning of Canonical Correlation Analysis: A Least Squares Perspective.
Neural Comput., 2017
Robust kernel canonical correlation analysis with applications to information retrieval.
Eng. Appl. Artif. Intell., 2017
2016
J. Multivar. Anal., 2016
Model-based fault detection, estimation, and prediction for a class of linear distributed parameter systems.
Autom., 2016
Fault isolation in distributed parameter systems modeled by parabolic partial differential equations.
Proceedings of the 2016 American Control Conference, 2016
2015
Sensors, 2015
Int. J. Wavelets Multiresolution Inf. Process., 2015
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015
Model-based actuator fault accommodation for distributed parameter systems represented by coupled linear PDEs.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015
2014
Convergence Analysis of coefficient-Based Regularization under moment Incremental condition.
Int. J. Wavelets Multiresolution Inf. Process., 2014
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014
Model-based fault diagnosis and prediction for a class of distributed parameter systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2013
Math. Comput. Model., 2013
2009
J. Approx. Theory, 2009