Runfeng Zhang
Orcid: 0000-0002-4174-6090
According to our database1,
Runfeng Zhang
authored at least 14 papers
between 2015 and 2024.
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Bibliography
2024
Comput. Commun., 2024
AC-CfC: An attention-based convolutional closed-form continuous-time neural network for raw multi-channel EEG-based emotion recognition.
Biomed. Signal Process. Control., 2024
Exploring the Reform of Mechanical Drawing Teaching and Undergraduate Training Based on the "Integration of Competition-Oriented Education and Industry-University Collaboration".
Proceedings of the 13th International Conference on Educational and Information Technology, 2024
2023
Dingo-optimization-based task-offloading algorithm in multihop V2V/V2I-enabled networks.
Trans. Emerg. Telecommun. Technol., September, 2023
Incentive mechanism design for two-layer mobile data offloading networks: A contract theory approach.
Ad Hoc Networks, May, 2023
Adaptive secure transmission for two-way energy harvesting relay networks with two-sided eavesdropping.
Trans. Emerg. Telecommun. Technol., February, 2023
Exploration and Practice of Cultivating Methods of Undergraduates' Ability to Apply Knowledge: Taking Engineering Drawing course as an example.
Proceedings of the 2023 8th International Conference on Distance Education and Learning, 2023
2020
Comput. Intell. Neurosci., 2020
A Hybrid Forecasting Model for the Velocity of Hybrid Robotic Fish Based on Back-Propagation Neural Network With Genetic Algorithm Optimization.
IEEE Access, 2020
Delivery Scope: A New Way of Restaurant Retrieval for On-demand Food Delivery Service.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the CSAE 2020: The 4th International Conference on Computer Science and Application Engineering, 2020
Proceedings of the 5th Asia-Pacific Conference on Intelligent Robot Systems, 2020
2015
A New Multi-channels Sequence Recognition Framework Using Deep Convolutional Neural Network.
Proceedings of the INNS Conference on Big Data 2015, 2015
Motion Sequence Recognition with Multi-sensors Using Deep Convolutional Neural Network.
Proceedings of the Intelligent Data Analysis and Applications, 2015