Yuliang Ma
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
Bibliography
2024
A lightweight facial expression recognition model for automated engagement detection.
Signal Image Video Process., June, 2024
A deformable convolutional time-series prediction network with extreme peak and interval calibration.
GeoInformatica, April, 2024
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation.
CoRR, 2024
MA2GCN: Multi Adjacency relationship Attention Graph Convolutional Networks for Traffic Prediction using Trajectory data.
CoRR, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
2023
Correlation embedding learning with dynamic semantic enhanced sampling for knowledge graph completion.
World Wide Web (WWW), September, 2023
ULFAC-Net: Ultra-Lightweight Fully Asymmetric Convolutional Network for Skin Lesion Segmentation.
IEEE J. Biomed. Health Informatics, June, 2023
Temporal-structural importance weighted graph convolutional network for temporal knowledge graph completion.
Future Gener. Comput. Syst., June, 2023
Cross-subject EEG emotion recognition using multi-source domain manifold feature selection.
Comput. Biol. Medicine, June, 2023
Pattern Anal. Appl., May, 2023
Soft Comput., March, 2023
Biomed. Signal Process. Control., March, 2023
World Wide Web (WWW), January, 2023
Multisource Associate Domain Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition.
IEEE Trans. Instrum. Meas., 2023
Continuous estimation of multi-DOF movement from sEMG based on non-negative matrix factorization and L2 regulation.
Medical Biol. Eng. Comput., 2023
A positive and unlabeled learning framework based on extreme learning machine for drug-drug interactions discovery.
J. Ambient Intell. Humaniz. Comput., 2023
Boosting question answering over knowledge graph with reward integration and policy evaluation under weak supervision.
Inf. Process. Manag., 2023
Authenticated Ranked Keyword Search over Encrypted Data with Strong Privacy Guarantee.
Proceedings of the Database Systems for Advanced Applications, 2023
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
Automated and Continuous Risk Assessment for ROS-Based Software-Defined Robotic Systems.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
A structure similarity based adaptive sampling method for time-dependent graph embedding.
Knowl. Based Syst., 2022
A new feature selection approach for driving fatigue EEG detection with a modified machine learning algorithm.
Comput. Biol. Medicine, 2022
2021
Transfer of semi-supervised broad learning system in electroencephalography signal classification.
Neural Comput. Appl., 2021
Inf. Sci., 2021
Explainable time-frequency convolutional neural network for microseismic waveform classification.
Inf. Sci., 2021
A Constrained Static Scheduling Strategy in Edge Computing for Industrial Cloud Systems.
Int. J. Inf. Technol. Syst. Approach, 2021
EEG-Based Driving Fatigue Detection Using a Two-Level Learning Hierarchy Radial Basis Function.
Frontiers Neurorobotics, 2021
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021
2020
Cogn. Comput., 2020
Functional Brain Network Classification for Alzheimer's Disease Detection with Deep Features and Extreme Learning Machine.
Cogn. Comput., 2020
Comput. Intell. Neurosci., 2020
CODES: Efficient Incremental Semi-Supervised Classification Over Drifting and Evolving Social Streams.
IEEE Access, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020
Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020
2019
IEEE Trans. Parallel Distributed Syst., 2019
Proc. VLDB Endow., 2019
Neural Comput. Appl., 2019
Who Should Be Invited to My Party: A Size-Constrained k-Core Problem in Social Networks.
J. Comput. Sci. Technol., 2019
Data Sci. Eng., 2019
Comput. Intell. Neurosci., 2019
Opportunistic Networks Link Prediction Method Based on Bayesian Recurrent Neural Network.
IEEE Access, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the Database Systems for Advanced Applications, 2019
2018
Trust-Aware Personalized Route Query Using Extreme Learning Machine in Location-Based Social Networks.
Cogn. Comput., 2018
Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification.
Comput. Intell. Neurosci., 2018
Proceedings of ELM 2018, 2018
Proceedings of the Database Systems for Advanced Applications, 2018
2017
Proceedings of the Mobile Ad-hoc and Sensor Networks - 13th International Conference, 2017
2016
Int. J. Mach. Learn. Cybern., 2016
Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization.
Comput. Math. Methods Medicine, 2016
2015
Comput. Intell. Neurosci., 2015