Jungang Xu

According to our database, Jungang Xu authored at least 67 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Text Data-Centric Image Captioning with Interactive Prompts.

Yiyu Wang, Hao Luo, Jungang Xu, Yingfei Sun, Fan Wang

CoRR, 2024

2023

TransETA: transformer networks for estimated time of arrival with local congestion representation.

Shu Lin, Yanyan Xu, Shengjian Zhao, Yibing Wang, Jungang Xu

Appl. Intell., December, 2023

HierMDS: a hierarchical multi-document summarization model with global-local document dependencies.

Shuimin Li, Jungang Xu

Neural Comput. Appl., September, 2023

MRC-Sum: An MRC framework for extractive summarization of academic articles in natural sciences and medicine.

Shuaimin Li, Jungang Xu

Inf. Process. Manag., September, 2023

Robustness Analysis of Platoon Control for Mixed Types of Vehicles.

Yixia Wang, Shu Lin, Yibing Wang, Bart De Schutter, Jungang Xu

IEEE Trans. Intell. Transp. Syst., January, 2023

An architecture entropy regularizer for differentiable neural architecture search.

Kun Jing, Luoyu Chen, Jungang Xu

Neural Networks, January, 2023

AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution.

Keyao Li, Jungang Xu

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.

Shuaimin Li, Jungang Xu

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

A visual persistence model for image captioning.

Yiyu Wang, Jungang Xu, Yingfei Sun

Neurocomputing, 2022

A neural architecture generator for efficient search space.

Kun Jing, Jungang Xu, Zhen Zhang

Neurocomputing, 2022

A Graph Architecture Search Method Based On Grouped Operations.

Luoyu Chen, Jungang Xu, Kun Jing, Yingfei Sun

Proceedings of the International Joint Conference on Neural Networks, 2022

Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search.

Kun Jing, Jungang Xu, Pengfei Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Few-shot Edge Classification in Graph Meta-learning.

Xiaoxiao Yang, Jungang Xu

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.

Shuaimin Li, Jungang Xu

Proceedings of the Database Systems for Advanced Applications, 2022

End-to-End Transformer Based Model for Image Captioning.

Yiyu Wang, Jungang Xu, Yingfei Sun

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A two-step abstractive summarization model with asynchronous and enriched-information decoding.

Shuaimin Li, Jungang Xu

Neural Comput. Appl., 2021

Hierarchical Dialogue State Tracking with Machine Reading Comprehension.

Boyu Qiu, Jungang Xu, Yingfei Sun

Proceedings of the International Joint Conference on Neural Networks, 2021

A Light Ranker for Open-Domain Question Answering.

Boyu Qiu, Jungang Xu, Xu Chen, Yingfei Sun

Proceedings of the International Joint Conference on Neural Networks, 2021

An Answer Driven Model For Paragraph-level Question Generation.

Xu Chen, Jungang Xu

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Urban Traffic Flow Forecasting Based on Memory Time-Series Network.

Shengjian Zhao, Shu Lin, Yunlong Li, Jungang Xu, Yibing Wang

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

NASABN: A Neural Architecture Search Framework for Attention-Based Networks.

Kun Jing, Jungang Xu, Hui Xu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

K2RDF: A Distributed RDF Data Management System on Kudu and Impala.

Xu Chen, Boyu Qiu, Jungang Xu, Renfeng Liu

Proceedings of the Benchmarking, Measuring, and Optimizing, 2020

LBNet: A Model for Judicial Reading Comprehension.

Hao Liu, Jungang Xu

Proceedings of the Web and Big Data. APWeb-WAIM 2020 International Workshops, 2020

2019

A Survey on Neural Machine Reading Comprehension.

Boyu Qiu, Xu Chen, Jungang Xu, Yingfei Sun

CoRR, 2019

A Survey on Neural Network Language Models.

Kun Jing, Jungang Xu

CoRR, 2019

Image Captioning based on Deep Learning Methods: A Survey.

Yiyu Wang, Jungang Xu, Yingfei Sun, Ben He

CoRR, 2019

Time Series Traffic Prediction via Hybrid Neural Networks.

Shengjian Zhao, Shu Lin, Jungang Xu

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

A Novel Image Captioning Method Based on Generative Adversarial Networks.

Yang Fan, Jungang Xu, Yingfei Sun, Yiyu Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018

Spark性能优化技术研究综述 (Survey on Performance Optimization Technologies for Spark).

Husheng Liao, Shanshan Huang, Jungang Xu, Renfeng Liu

计算机科学, 2018

Neural relevance model using similarities with elite documents for effective clinical decision support.

Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun

Int. J. Data Min. Bioinform., 2018

UCAS at TREC-2018 Precision Medicine Track.

Zhi Zheng, Canjia Li, Ben He, Jungang Xu

Proceedings of the Twenty-Seventh Text REtrieval Conference, 2018

A Study on Performance Sensitivity to Data Sparsity for Automated Essay Scoring.

Yanhua Ran, Ben He, Jungang Xu

Proceedings of the Knowledge Science, Engineering and Management, 2018

Long-Term Recurrent Merge Network Model for Image Captioning.

Yang Fan, Jungang Xu, Yingfei Sun, Ben He

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval.

Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Hard Real-time Scheduler for Spark on YARN.

Guolu Wang, Jungang Xu, Renfeng Liu, Shanshan Huang

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

One Self-Adaptive Memory Scheduling Algorithm for the Shuffle Process in Spark Platform.

Jungang Xu, Shanshan Huang, Renfeng Liu, Pengfei Li

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Recurrent Neural Network Language Model Based on Word Embedding.

Shuaimin Li, Jungang Xu

Proceedings of the Web and Big Data, 2018

2017

A Feedback-Based Approach to Utilizing Embeddings for Clinical Decision Support.

Chenhao Yang, Ben He, Canjia Li, Jungang Xu

Data Sci. Eng., 2017

UCAS at TREC-2017 Precision Medicine Track.

Canjia Li, Ben He, Yingfei Sun, Jungang Xu

Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

A Study of Distributed Semantic Representations for Automated Essay Scoring.

Cancan Jin, Ben He, Jungang Xu

Proceedings of the Knowledge Science, Engineering and Management, 2017

Two improved continuous bag-of-word models.

Qi Wang, Jungang Xu, Hong Chen, Ben He

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.

Qi Wang, Jungang Xu, Ben He, Zhengcai Qin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

A novel compression algorithm decision method for spark shuffle process.

Shanshan Huang, Jungang Xu, Renfeng Liu, Husheng Liao

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A document-based neural relevance model for effective clinical decision support.

Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun

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.

Chenhao Yang, Ben He, Jungang Xu

Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016

A Set-Based Training Query Classification Approach for Twitter Search.

Qingli Ma, Ben He, Jungang Xu, Bin Wang

Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Direct measurement of training query quality for learning to rank.

Qingli Ma, Ben He, Jungang Xu

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Multilevel Syntactic Parsing Based on Recursive Restricted Boltzmann Machines and Learning to Rank.

Jungang Xu, Hong Chen, Shilong Zhou, Ben He

Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

A Document Modeling Method Based on Deep Generative Model and Spectral Hashing.

Hong Chen, Jungang Xu, Qi Wang, Ben He

Proceedings of the Knowledge Science, Engineering and Management, 2016

A Novel Performance Evaluation and Optimization Model for Big Data System.

Jungang Xu, Guolu Wang, Shengyuan Liu, Renfeng Liu

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.

Guolu Wang, Jungang Xu, Ben He

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

A Structure Learning Algorithm for Bayesian Network Using Prior Knowledge.

Jungang Xu, Yue Zhao, Jian Chen, Chao Han

J. Comput. Sci. Technol., 2015

Robust Corner Detection Based on Bilateral Filter in Direct Curvature Scale Space.

Bin Liao, Jungang Xu, Huiying Sun, Hong Chen

Proceedings of the Advances in Swarm and Computational Intelligence, 2015

A sample partition method for learning to rank based on query-level vector extraction.

Jungang Xu, Shilong Zhou, Hong Chen, Pengfei Li

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Improving mixing rate with tempered transition for learning restricted Boltzmann machines.

Jungang Xu, Hui Li, Shilong Zhou

Neurocomputing, 2014

Online High-Quality Topic Detection for Bulletin Board Systems.

Jungang Xu, Hui Li, Yan Zhao, Ben He

IEICE Trans. Inf. Syst., 2014

Automated Essay Scoring by Capturing Relative Writing Quality.

Hongbo Chen, Jungang Xu, Ben He

Comput. J., 2014

A Document Clustering Algorithm Based on Semi-constrained Hierarchical Latent Dirichlet Allocation.

Jungang Xu, Shilong Zhou, Lin Qiu, Shengyuan Liu, Pengfei Li

Proceedings of the Knowledge Science, Engineering and Management, 2014

2013

The Failure Prediction of Cluster Systems Based on System Logs.

Jungang Xu, Hui Li

Proceedings of the Knowledge Science, Engineering and Management, 2013

A Parallel Algorithm for Bayesian Network Parameter Learning Based on Factor Graph.

Yue Zhao, Jungang Xu, Yunjun Gao

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Performance Analysis of MPI Parallel Programs on Xen Virtual Machines.

Jungang Xu, Yue Zhao, Kunlin Zhan, Hui Li, Xiuqi Han

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.

Xin Zhang, Ben He, Tiejian Luo, Dongxing Li, Jungang Xu

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Evaluating task scheduling in hadoop-based cloud systems.

Shengyuan Liu, Jungang Xu, Zongzhen Liu, Xu Liu

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Hyper-geometric Model for Information Retrieval Revisited.

Sha Lu, Ben He, Jungang Xu

Proceedings of the Information Retrieval Technology, 2013

2012

UCAS at TREC 2012 Microblog Track.

Xin Zhang, Sha Lu, Ben He, Jungang Xu, Tiejian Luo

Proceedings of The Twenty-First Text REtrieval Conference, 2012

2010

One CWM-Based Data Transformation Method in ETL Process.

Ying Pei, Jungang Xu, Qiang Wang

Proceedings of the Second International Workshop on Database Technology and Applications, 2010

2007

Model Management in Virtual Reality Research.

Jungang Xu, Liang Zhou, Kun Zhang, Wenyao Zhang

Data Sci. J., 2007