Jungang Xu

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 59

Top Topics

Clinical Decision Support

Extractive Summarization

Neural Architecture

Document Summarization

Top Venues

Publications

Xunzhi Xiang, Kun Jing, Jungang Xu
A Neural Architecture Predictor based on GNN-Enhanced Transformer. AISTATS (2024)
Yiyu Wang, Xunzhi Xiang, Kun Jing, Jungang Xu, Yingfei Sun
Improving Image Captioning with Image Concepts of Words. KSEM (2) (2024)
Yiyu Wang, Hao Luo, Jungang Xu, Yingfei Sun, Fan Wang
Text Data-Centric Image Captioning with Interactive Prompts. CoRR (2024)
Shuaimin Li, Jungang Xu
Correction to: HierMDS: a hierarchical multi-document summarization model with global-local document dependencies. Neural Comput. Appl. 36 (19) (2024)
Yixia Wang, Shu Lin, Yibing Wang, Bart De Schutter, Jungang Xu
Robustness Analysis of Platoon Control for Mixed Types of Vehicles. IEEE Trans. Intell. Transp. Syst. 24 (1) (2023)
Shuaimin Li, Jungang Xu
MRC-Sum: An MRC framework for extractive summarization of academic articles in natural sciences and medicine. Inf. Process. Manag. 60 (5) (2023)
Shu Lin, Yanyan Xu, Shengjian Zhao, Yibing Wang, Jungang Xu
TransETA: transformer networks for estimated time of arrival with local congestion representation. Appl. Intell. 53 (24) (2023)
Keyao Li, Jungang Xu
AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution. INNS DLIA@IJCNN (2023)
Shuimin Li, Jungang Xu
HierMDS: a hierarchical multi-document summarization model with global-local document dependencies. Neural Comput. Appl. 35 (25) (2023)
Shuaimin Li, Jungang Xu
A Novel Clinical Trial Prediction-Based Factual Inconsistency Detection Approach for Medical Text Summarization. IJCNN (2023)
Kun Jing, Luoyu Chen, Jungang Xu
An architecture entropy regularizer for differentiable neural architecture search. Neural Networks 158 (2023)
Kun Jing, Jungang Xu, Zhen Zhang
A neural architecture generator for efficient search space. Neurocomputing 486 (2022)
Kun Jing, Jungang Xu, Pengfei Li
Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search. IJCAI (2022)
Yiyu Wang, Jungang Xu, Yingfei Sun
A visual persistence model for image captioning. Neurocomputing 468 (2022)
Luoyu Chen, Jungang Xu, Kun Jing, Yingfei Sun
A Graph Architecture Search Method Based On Grouped Operations. IJCNN (2022)
Xiaoxiao Yang, Jungang Xu
Few-shot Edge Classification in Graph Meta-learning. DSAA (2022)
Shuaimin Li, Jungang Xu
KAAS: A Keyword-Aware Attention Abstractive Summarization Model for Scientific Articles. DASFAA (3) (2022)
Yiyu Wang, Jungang Xu, Yingfei Sun
End-to-End Transformer Based Model for Image Captioning. AAAI (2022)
Yiyu Wang, Jungang Xu, Yingfei Sun
End-to-End Transformer Based Model for Image Captioning. CoRR (2022)
Boyu Qiu, Jungang Xu, Yingfei Sun
Hierarchical Dialogue State Tracking with Machine Reading Comprehension. IJCNN (2021)
Xu Chen, Jungang Xu
An Answer Driven Model For Paragraph-level Question Generation. IJCNN (2021)
Shuaimin Li, Jungang Xu
A two-step abstractive summarization model with asynchronous and enriched-information decoding. Neural Comput. Appl. 33 (4) (2021)
Boyu Qiu, Jungang Xu, Xu Chen, Yingfei Sun
A Light Ranker for Open-Domain Question Answering. IJCNN (2021)
Xu Chen, Boyu Qiu, Jungang Xu, Renfeng Liu
K2RDF: A Distributed RDF Data Management System on Kudu and Impala. Bench (2020)
Kun Jing, Jungang Xu, Hui Xu
NASABN: A Neural Architecture Search Framework for Attention-Based Networks. IJCNN (2020)
Hao Liu, Jungang Xu
LBNet: A Model for Judicial Reading Comprehension. APWeb/WAIM Workshops (2020)
Shengjian Zhao, Shu Lin, Yunlong Li, Jungang Xu, Yibing Wang
Urban Traffic Flow Forecasting Based on Memory Time-Series Network. ITSC (2020)
Kun Jing, Jungang Xu
A Survey on Neural Network Language Models. CoRR (2019)
Yang Fan, Jungang Xu, Yingfei Sun, Yiyu Wang
A Novel Image Captioning Method Based on Generative Adversarial Networks. ICANN (4) (2019)
Boyu Qiu, Xu Chen, Jungang Xu, Yingfei Sun
A Survey on Neural Machine Reading Comprehension. CoRR (2019)
Shengjian Zhao, Shu Lin, Jungang Xu
Time Series Traffic Prediction via Hybrid Neural Networks. ITSC (2019)
Yiyu Wang, Jungang Xu, Yingfei Sun, Ben He
Image Captioning based on Deep Learning Methods: A Survey. CoRR (2019)
Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. EMNLP (2018)
Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. CoRR (2018)
Jungang Xu, Shanshan Huang, Renfeng Liu, Pengfei Li
One Self-Adaptive Memory Scheduling Algorithm for the Shuffle Process in Spark Platform. IEEE BigData (2018)
Yanhua Ran, Ben He, Jungang Xu
A Study on Performance Sensitivity to Data Sparsity for Automated Essay Scoring. KSEM (1) (2018)
Yang Fan, Jungang Xu, Yingfei Sun, Ben He
Long-Term Recurrent Merge Network Model for Image Captioning. ICTAI (2018)
Husheng Liao, Shanshan Huang, Jungang Xu, Renfeng Liu
Spark性能优化技术研究综述 (Survey on Performance Optimization Technologies for Spark). 计算机科学 45 (7) (2018)
Guolu Wang, Jungang Xu, Renfeng Liu, Shanshan Huang
A Hard Real-time Scheduler for Spark on YARN. CCGrid (2018)
Shuaimin Li, Jungang Xu
A Recurrent Neural Network Language Model Based on Word Embedding. APWeb/WAIM Workshops (2018)
Zhi Zheng, Canjia Li, Ben He, Jungang Xu
UCAS at TREC-2018 Precision Medicine Track. TREC (2018)
Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun
Neural relevance model using similarities with elite documents for effective clinical decision support. Int. J. Data Min. Bioinform. 20 (2) (2018)
Chenhao Yang, Ben He, Canjia Li, Jungang Xu
A Feedback-Based Approach to Utilizing Embeddings for Clinical Decision Support. Data Sci. Eng. 2 (4) (2017)
Canjia Li, Ben He, Yingfei Sun, Jungang Xu
UCAS at TREC-2017 Precision Medicine Track. TREC (2017)
Chenhao Yang, Ben He, Jungang Xu
Integrating Feedback-Based Semantic Evidence to Enhance Retrieval Effectiveness for Clinical Decision Support. APWeb/WAIM (2) (2017)
Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun
A document-based neural relevance model for effective clinical decision support. BIBM (2017)
Qi Wang, Jungang Xu, Hong Chen, Ben He
Two improved continuous bag-of-word models. IJCNN (2017)
Qi Wang, Jungang Xu, Ben He, Zhengcai Qin
An Improved Convolutional Neural Network for Sentence Classification Based on Term Frequency and Segmentation. ICANN (2) (2017)
Shanshan Huang, Jungang Xu, Renfeng Liu, Husheng Liao
A novel compression algorithm decision method for spark shuffle process. IEEE BigData (2017)
Cancan Jin, Ben He, Jungang Xu
A Study of Distributed Semantic Representations for Automated Essay Scoring. KSEM (2017)
Qingli Ma, Ben He, Jungang Xu, Bin Wang
A Set-Based Training Query Classification Approach for Twitter Search. WAIM (1) (2016)
Guolu Wang, Jungang Xu, Ben He
A Novel Method for Tuning Configuration Parameters of Spark Based on Machine Learning. HPCC/SmartCity/DSS (2016)
Jungang Xu, Hong Chen, Shilong Zhou, Ben He
Multilevel Syntactic Parsing Based on Recursive Restricted Boltzmann Machines and Learning to Rank. PAISI (2016)
Hong Chen, Jungang Xu, Qi Wang, Ben He
A Document Modeling Method Based on Deep Generative Model and Spectral Hashing. KSEM (2016)
Jungang Xu, Guolu Wang, Shengyuan Liu, Renfeng Liu
A Novel Performance Evaluation and Optimization Model for Big Data System. ISPDC (2016)
Qingli Ma, Ben He, Jungang Xu
Direct measurement of training query quality for learning to rank. SAC (2016)
Jungang Xu, Shilong Zhou, Hong Chen, Pengfei Li
A sample partition method for learning to rank based on query-level vector extraction. IJCNN (2015)
Jungang Xu, Yue Zhao, Jian Chen, Chao Han
A Structure Learning Algorithm for Bayesian Network Using Prior Knowledge. J. Comput. Sci. Technol. 30 (4) (2015)
Bin Liao, Jungang Xu, Huiying Sun, Hong Chen
Robust Corner Detection Based on Bilateral Filter in Direct Curvature Scale Space. ICSI (3) (2015)
Jungang Xu, Shilong Zhou, Lin Qiu, Shengyuan Liu, Pengfei Li
A Document Clustering Algorithm Based on Semi-constrained Hierarchical Latent Dirichlet Allocation. KSEM (2014)
Hongbo Chen, Jungang Xu, Ben He
Automated Essay Scoring by Capturing Relative Writing Quality. Comput. J. 57 (9) (2014)
Jungang Xu, Hui Li, Shilong Zhou
Improving mixing rate with tempered transition for learning restricted Boltzmann machines. Neurocomputing 139 (2014)
Jungang Xu, Hui Li, Yan Zhao, Ben He
Online High-Quality Topic Detection for Bulletin Board Systems. IEICE Trans. Inf. Syst. (2) (2014)
Xin Zhang, Ben He, Tiejian Luo, Dongxing Li, Jungang Xu
Clustering-based transduction for learning a ranking model with limited human labels. CIKM (2013)
Sha Lu, Ben He, Jungang Xu
Hyper-geometric Model for Information Retrieval Revisited. AIRS (2013)
Jungang Xu, Yue Zhao, Kunlin Zhan, Hui Li, Xiuqi Han
Performance Analysis of MPI Parallel Programs on Xen Virtual Machines. HPCC/EUC (2013)
Yue Zhao, Jungang Xu, Yunjun Gao
A Parallel Algorithm for Bayesian Network Parameter Learning Based on Factor Graph. ICTAI (2013)
Jungang Xu, Hui Li
The Failure Prediction of Cluster Systems Based on System Logs. KSEM (2013)
Shengyuan Liu, Jungang Xu, Zongzhen Liu, Xu Liu
Evaluating task scheduling in hadoop-based cloud systems. IEEE BigData (2013)
Xin Zhang, Sha Lu, Ben He, Jungang Xu, Tiejian Luo
UCAS at TREC 2012 Microblog Track. TREC (2012)
Ying Pei, Jungang Xu, Qiang Wang
One CWM-Based Data Transformation Method in ETL Process. DBTA (2010)
Jungang Xu, Liang Zhou, Kun Zhang, Wenyao Zhang
Model Management in Virtual Reality Research. Data Sci. J. 6 (2007)