Jungang Xu
Orcid: 0000-0002-3994-1401
According to our database1,
Jungang Xu
authored at least 74 papers
between 2007 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
A Stochastic Traffic Flow Model-Based Reinforcement Learning Framework For Advanced Traffic Signal Control.
IEEE Trans. Intell. Transp. Syst., January, 2025
2024
Correction to: HierMDS: a hierarchical multi-document summarization model with global-local document dependencies.
Neural Comput. Appl., July, 2024
Proceedings of the Knowledge Science, Engineering and Management, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
NAS-Bench-Compre: A Comprehensive Neural Architecture Search Benchmark with Customizable Components.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
TransETA: transformer networks for estimated time of arrival with local congestion representation.
Appl. Intell., December, 2023
HierMDS: a hierarchical multi-document summarization model with global-local document dependencies.
Neural Comput. Appl., September, 2023
MRC-Sum: An MRC framework for extractive summarization of academic articles in natural sciences and medicine.
Inf. Process. Manag., September, 2023
IEEE Trans. Intell. Transp. Syst., January, 2023
Neural Networks, January, 2023
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023
A Novel Clinical Trial Prediction-Based Factual Inconsistency Detection Approach for Medical Text Summarization.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
KAAS: A Keyword-Aware Attention Abstractive Summarization Model for Scientific Articles.
Proceedings of the Database Systems for Advanced Applications, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
A two-step abstractive summarization model with asynchronous and enriched-information decoding.
Neural Comput. Appl., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Benchmarking, Measuring, and Optimizing, 2020
Proceedings of the Web and Big Data. APWeb-WAIM 2020 International Workshops, 2020
2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019
2018
计算机科学, 2018
Neural relevance model using similarities with elite documents for effective clinical decision support.
Int. J. Data Min. Bioinform., 2018
Proceedings of the Twenty-Seventh Text REtrieval Conference, 2018
Proceedings of the Knowledge Science, Engineering and Management, 2018
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018
One Self-Adaptive Memory Scheduling Algorithm for the Shuffle Process in Spark Platform.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the Web and Big Data, 2018
2017
Data Sci. Eng., 2017
Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017
Proceedings of the Knowledge Science, Engineering and Management, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
An Improved Convolutional Neural Network for Sentence Classification Based on Term Frequency and Segmentation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Integrating Feedback-Based Semantic Evidence to Enhance Retrieval Effectiveness for Clinical Decision Support.
Proceedings of the Web and Big Data - First International Joint Conference, 2017
2016
Proceedings of the Web-Age Information Management - 17th International Conference, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Multilevel Syntactic Parsing Based on Recursive Restricted Boltzmann Machines and Learning to Rank.
Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016
Proceedings of the Knowledge Science, Engineering and Management, 2016
Proceedings of the 15th International Symposium on Parallel and Distributed Computing, 2016
A Novel Method for Tuning Configuration Parameters of Spark Based on Machine Learning.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016
2015
J. Comput. Sci. Technol., 2015
Proceedings of the Advances in Swarm and Computational Intelligence, 2015
A sample partition method for learning to rank based on query-level vector extraction.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Improving mixing rate with tempered transition for learning restricted Boltzmann machines.
Neurocomputing, 2014
IEICE Trans. Inf. Syst., 2014
A Document Clustering Algorithm Based on Semi-constrained Hierarchical Latent Dirichlet Allocation.
Proceedings of the Knowledge Science, Engineering and Management, 2014
2013
Proceedings of the Knowledge Science, Engineering and Management, 2013
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013
Clustering-based transduction for learning a ranking model with limited human labels.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
Proceedings of the Information Retrieval Technology, 2013
2012
Proceedings of The Twenty-First Text REtrieval Conference, 2012
2010
Proceedings of the Second International Workshop on Database Technology and Applications, 2010
2007