Yun Dai
Orcid: 0000-0002-1199-9855
According to our database1,
Yun Dai
authored at least 24 papers
between 2006 and 2024.
Collaborative distances:
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Bibliography
2024
MM-Transformer: A Transformer-Based Knowledge Graph Link Prediction Model That Fuses Multimodal Features.
Symmetry, August, 2024
An embodied, analogical and disruptive approach of AI pedagogy in upper elementary education: An experimental study.
Br. J. Educ. Technol., January, 2024
CoRR, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Thermal Analysis of 3D Stacking and BEOL Technologies with Functional Partitioning of Many-Core RISC-V SoC.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024
2023
Generative adversarial network-assisted image classification for imbalanced tire X-ray defect detection.
Trans. Inst. Meas. Control, May, 2023
Proceedings of the 15th IEEE International Conference on ASIC, 2023
2022
Circuits Syst. Signal Process., 2022
Near-Field DOA-Range and Polarization Estimation Based on Exact Propagation Model with COLD Arrays.
Circuits Syst. Signal Process., 2022
Circuits Syst. Signal Process., 2022
A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education.
Comput. Educ., 2022
2021
J. Inf. Sci. Eng., 2021
Modeling the structural relationship among primary students' motivation to learn artificial intelligence.
Comput. Educ. Artif. Intell., 2021
2020
Proceedings of the IEEE International Conference on Teaching, 2020
2019
Interact. Learn. Environ., 2019
Situating videoconferencing in a connected class toward intercultural knowledge development: A comparative reflection approach.
Internet High. Educ., 2019
Understanding student variances in learning outcomes and task interpretations from multimedia presentations.
Br. J. Educ. Technol., 2019
IEEE Access, 2019
2018
2016
Proceedings of the Challenges and Opportunity with Big Data, 2016
2013
2008
Improving Neural Network Promoter Prediction by Exploiting the Lengths of Coding and Non-Coding Sequences.
Proceedings of the Advances of Computational Intelligence in Industrial Systems, 2008
2006
The Probability Distribution of Distance TSS-TLS Is Organism Characteristic and Can Be Used for Promoter Prediction.
Proceedings of the Advances in Applied Artificial Intelligence, 2006