Yang Song
Orcid: 0000-0002-1169-4189Affiliations:
- East China Normal University, School of Computer Science and Software Engineering, Shanghai, China
According to our database1,
Yang Song
authored at least 19 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Extracting entity and relationship interactions from danmaku-video comments using a neural bootstrapping framework.
J. Supercomput., May, 2024
Visual-Guided Dual-Spatial Interaction Network for Fine-Grained Brain Semantic Decoding.
IEEE Trans. Instrum. Meas., 2024
2023
CBKI: A confidence-based knowledge integration framework for multi-choice machine reading comprehension.
Knowl. Based Syst., October, 2023
2021
RAMST-CNN: A Residual and Multiscale Spatio-Temporal Convolution Neural Network for Personal Identification with EEG.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021
2019
Knowl. Based Syst., 2019
Let terms choose their own kernels: An intelligent approach to kernel selection for healthcare search.
Inf. Sci., 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling.
Proceedings of the Database Systems for Advanced Applications, 2019
2018
Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018
2017
Proceedings of the Working Notes of CLEF 2017, 2017
Potentiality of healthcare big data: Improving search by automatic query reformulation.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
ECNU at TREC 2016: Web-based query expansion and experts diagnosis in Medical Information Retrieval.
Proceedings of The Twenty-Fifth Text REtrieval Conference, 2016
Estimating Probability Density of Content Types for Promoting Medical Records Search.
Proceedings of the Advances in Information Retrieval, 2016
Proceedings of the Working Notes of CLEF 2016, 2016
Proceedings of the Working Notes of CLEF 2016, 2016
2015
Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015
Proceedings of the Working Notes of CLEF 2015, 2015