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2020 – today
- 2024
[j17]Shuaimin Li, Jungang Xu
:
Correction to: HierMDS: a hierarchical multi-document summarization model with global-local document dependencies. Neural Comput. Appl. 36(19): 11663 (2024)- [c52]Xunzhi Xiang, Kun Jing, Jungang Xu:
A Neural Architecture Predictor based on GNN-Enhanced Transformer. AISTATS 2024: 1729-1737 - [c51]Di Wang, Xunzhi Xiang, Kun Jing, Jungang Xu:
Feature Activation-Driven Zero-Shot NAS: A Contrastive Learning Framework. ICANN (1) 2024: 261-276 - [c50]Di Wang, Kun Jing, Jungang Xu:
NAS-Bench-Compre: A Comprehensive Neural Architecture Search Benchmark with Customizable Components. ICANN (1) 2024: 277-291 - [c49]Yiyu Wang, Jungang Xu, Yingfei Sun:
CLIP-Driven Low-Cost Image Captioning. IJCNN 2024: 1-8 - [c48]Yiyu Wang, Xunzhi Xiang, Kun Jing, Jungang Xu, Yingfei Sun:
Improving Image Captioning with Image Concepts of Words. KSEM (2) 2024: 358-370 - [i6]Yiyu Wang, Hao Luo, Jungang Xu, Yingfei Sun, Fan Wang:
Text Data-Centric Image Captioning with Interactive Prompts. CoRR abs/2403.19193 (2024) - 2023
- [j16]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): 30384-30399 (2023) - [j15]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): 103467 (2023) - [j14]Shuimin Li, Jungang Xu:
HierMDS: a hierarchical multi-document summarization model with global-local document dependencies. Neural Comput. Appl. 35(25): 18553-18570 (2023) - [j13]Kun Jing, Luoyu Chen, Jungang Xu:
An architecture entropy regularizer for differentiable neural architecture search. Neural Networks 158: 111-120 (2023) - [j12]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): 331-340 (2023) - [c47]Shuaimin Li, Jungang Xu:
A Novel Clinical Trial Prediction-Based Factual Inconsistency Detection Approach for Medical Text Summarization. IJCNN 2023: 1-8 - [c46]Keyao Li, Jungang Xu:
AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution. INNS DLIA@IJCNN 2023: 187-196 - 2022
- [j11]Yiyu Wang, Jungang Xu, Yingfei Sun:
A visual persistence model for image captioning. Neurocomputing 468: 48-59 (2022) - [j10]Kun Jing, Jungang Xu, Zhen Zhang:
A neural architecture generator for efficient search space. Neurocomputing 486: 189-199 (2022) - [c45]Yiyu Wang, Jungang Xu, Yingfei Sun:
End-to-End Transformer Based Model for Image Captioning. AAAI 2022: 2585-2594 - [c44]Shuaimin Li, Jungang Xu:
KAAS: A Keyword-Aware Attention Abstractive Summarization Model for Scientific Articles. DASFAA (3) 2022: 263-271 - [c43]Xiaoxiao Yang, Jungang Xu:
Few-shot Edge Classification in Graph Meta-learning. DSAA 2022: 1-7 - [c42]Kun Jing, Jungang Xu, Pengfei Li:
Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search. IJCAI 2022: 3114-3120 - [c41]Luoyu Chen, Jungang Xu, Kun Jing, Yingfei Sun:
A Graph Architecture Search Method Based On Grouped Operations. IJCNN 2022: 1-7 - [i5]Yiyu Wang, Jungang Xu, Yingfei Sun:
End-to-End Transformer Based Model for Image Captioning. CoRR abs/2203.15350 (2022) - 2021
- [j9]Shuaimin Li, Jungang Xu:
A two-step abstractive summarization model with asynchronous and enriched-information decoding. Neural Comput. Appl. 33(4): 1159-1170 (2021) - [c40]Xu Chen, Jungang Xu:
An Answer Driven Model For Paragraph-level Question Generation. IJCNN 2021: 1-7 - [c39]Boyu Qiu, Jungang Xu, Xu Chen, Yingfei Sun:
A Light Ranker for Open-Domain Question Answering. IJCNN 2021: 1-6 - [c38]Boyu Qiu, Jungang Xu, Yingfei Sun:
Hierarchical Dialogue State Tracking with Machine Reading Comprehension. IJCNN 2021: 1-6 - 2020
- [c37]Hao Liu, Jungang Xu:
LBNet: A Model for Judicial Reading Comprehension. APWeb/WAIM Workshops 2020: 144-155 - [c36]Xu Chen, Boyu Qiu, Jungang Xu, Renfeng Liu:
K2RDF: A Distributed RDF Data Management System on Kudu and Impala. Bench 2020: 57-73 - [c35]Kun Jing, Jungang Xu, Hui Xu:
NASABN: A Neural Architecture Search Framework for Attention-Based Networks. IJCNN 2020: 1-7 - [c34]Shengjian Zhao, Shu Lin, Yunlong Li, Jungang Xu, Yibing Wang:
Urban Traffic Flow Forecasting Based on Memory Time-Series Network. ITSC 2020: 1-6
2010 – 2019
- 2019
- [c33]Yang Fan, Jungang Xu, Yingfei Sun, Yiyu Wang:
A Novel Image Captioning Method Based on Generative Adversarial Networks. ICANN (4) 2019: 281-292 - [c32]Shengjian Zhao, Shu Lin, Jungang Xu:
Time Series Traffic Prediction via Hybrid Neural Networks. ITSC 2019: 1671-1676 - [i4]Yiyu Wang, Jungang Xu, Yingfei Sun, Ben He:
Image Captioning based on Deep Learning Methods: A Survey. CoRR abs/1905.08110 (2019) - [i3]Kun Jing, Jungang Xu:
A Survey on Neural Network Language Models. CoRR abs/1906.03591 (2019) - [i2]Boyu Qiu, Xu Chen, Jungang Xu, Yingfei Sun:
A Survey on Neural Machine Reading Comprehension. CoRR abs/1906.03824 (2019) - 2018
- [j8]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): 91-108 (2018) - [j7]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): 7-15 (2018) - [c31]Shuaimin Li, Jungang Xu:
A Recurrent Neural Network Language Model Based on Word Embedding. APWeb/WAIM Workshops 2018: 368-377 - [c30]Jungang Xu, Shanshan Huang, Renfeng Liu, Pengfei Li:
One Self-Adaptive Memory Scheduling Algorithm for the Shuffle Process in Spark Platform. IEEE BigData 2018: 3938-3946 - [c29]Guolu Wang, Jungang Xu, Renfeng Liu, Shanshan Huang:
A Hard Real-time Scheduler for Spark on YARN. CCGrid 2018: 645-652 - [c28]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: 4482-4491 - [c27]Yang Fan, Jungang Xu, Yingfei Sun, Ben He:
Long-Term Recurrent Merge Network Model for Image Captioning. ICTAI 2018: 254-259 - [c26]Yanhua Ran, Ben He, Jungang Xu:
A Study on Performance Sensitivity to Data Sparsity for Automated Essay Scoring. KSEM (1) 2018: 104-116 - [c25]Zhi Zheng, Canjia Li, Ben He, Jungang Xu:
UCAS at TREC-2018 Precision Medicine Track. TREC 2018 - [i1]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 abs/1810.12936 (2018) - 2017
- [j6]Chenhao Yang, Ben He, Canjia Li, Jungang Xu:
A Feedback-Based Approach to Utilizing Embeddings for Clinical Decision Support. Data Sci. Eng. 2(4): 316-327 (2017) - [c24]Chenhao Yang, Ben He, Jungang Xu:
Integrating Feedback-Based Semantic Evidence to Enhance Retrieval Effectiveness for Clinical Decision Support. APWeb/WAIM (2) 2017: 153-168 - [c23]Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun:
A document-based neural relevance model for effective clinical decision support. BIBM 2017: 798-804 - [c22]Shanshan Huang, Jungang Xu, Renfeng Liu, Husheng Liao:
A novel compression algorithm decision method for spark shuffle process. IEEE BigData 2017: 2931-2940 - [c21]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: 56-63 - [c20]Qi Wang, Jungang Xu, Hong Chen, Ben He:
Two improved continuous bag-of-word models. IJCNN 2017: 2851-2856 - [c19]Cancan Jin, Ben He, Jungang Xu:
A Study of Distributed Semantic Representations for Automated Essay Scoring. KSEM 2017: 16-28 - [c18]Canjia Li, Ben He, Yingfei Sun, Jungang Xu:
UCAS at TREC-2017 Precision Medicine Track. TREC 2017 - 2016
- [c17]Guolu Wang, Jungang Xu, Ben He:
A Novel Method for Tuning Configuration Parameters of Spark Based on Machine Learning. HPCC/SmartCity/DSS 2016: 586-593 - [c16]Jungang Xu, Guolu Wang, Shengyuan Liu, Renfeng Liu:
A Novel Performance Evaluation and Optimization Model for Big Data System. ISPDC 2016: 121-130 - [c15]Hong Chen, Jungang Xu, Qi Wang, Ben He:
A Document Modeling Method Based on Deep Generative Model and Spectral Hashing. KSEM 2016: 402-413 - [c14]Jungang Xu, Hong Chen, Shilong Zhou, Ben He:
Multilevel Syntactic Parsing Based on Recursive Restricted Boltzmann Machines and Learning to Rank. PAISI 2016: 53-62 - [c13]Qingli Ma, Ben He, Jungang Xu:
Direct measurement of training query quality for learning to rank. SAC 2016: 1035-1040 - [c12]Qingli Ma, Ben He, Jungang Xu, Bin Wang:
A Set-Based Training Query Classification Approach for Twitter Search. WAIM (1) 2016: 491-503 - 2015
- [j5]Jungang Xu, Yue Zhao, Jian Chen, Chao Han:
A Structure Learning Algorithm for Bayesian Network Using Prior Knowledge. J. Comput. Sci. Technol. 30(4): 713-724 (2015) - [c11]Jungang Xu, Shilong Zhou, Hong Chen, Pengfei Li:
A sample partition method for learning to rank based on query-level vector extraction. IJCNN 2015: 1-7 - [c10]Bin Liao, Jungang Xu, Huiying Sun, Hong Chen:
Robust Corner Detection Based on Bilateral Filter in Direct Curvature Scale Space. ICSI (3) 2015: 357-365 - 2014
- [j4]Hongbo Chen, Jungang Xu, Ben He:
Automated Essay Scoring by Capturing Relative Writing Quality. Comput. J. 57(9): 1318-1330 (2014) - [j3]Jungang Xu, Hui Li, Yan Zhao, Ben He:
Online High-Quality Topic Detection for Bulletin Board Systems. IEICE Trans. Inf. Syst. 97-D(2): 255-265 (2014) - [j2]Jungang Xu, Hui Li, Shilong Zhou:
Improving mixing rate with tempered transition for learning restricted Boltzmann machines. Neurocomputing 139: 328-335 (2014) - [c9]Jungang Xu, Shilong Zhou, Lin Qiu, Shengyuan Liu, Pengfei Li:
A Document Clustering Algorithm Based on Semi-constrained Hierarchical Latent Dirichlet Allocation. KSEM 2014: 49-60 - 2013
- [c8]Sha Lu, Ben He, Jungang Xu:
Hyper-geometric Model for Information Retrieval Revisited. AIRS 2013: 62-73 - [c7]Shengyuan Liu, Jungang Xu, Zongzhen Liu, Xu Liu:
Evaluating task scheduling in hadoop-based cloud systems. IEEE BigData 2013: 47-53 - [c6]Xin Zhang, Ben He, Tiejian Luo, Dongxing Li, Jungang Xu:
Clustering-based transduction for learning a ranking model with limited human labels. CIKM 2013: 1777-1782 - [c5]Jungang Xu, Yue Zhao, Kunlin Zhan, Hui Li, Xiuqi Han:
Performance Analysis of MPI Parallel Programs on Xen Virtual Machines. HPCC/EUC 2013: 1528-1535 - [c4]Yue Zhao, Jungang Xu, Yunjun Gao:
A Parallel Algorithm for Bayesian Network Parameter Learning Based on Factor Graph. ICTAI 2013: 506-511 - [c3]Jungang Xu, Hui Li:
The Failure Prediction of Cluster Systems Based on System Logs. KSEM 2013: 526-537 - 2012
- [c2]Xin Zhang, Sha Lu, Ben He, Jungang Xu, Tiejian Luo:
UCAS at TREC 2012 Microblog Track. TREC 2012 - 2010
- [c1]Ying Pei, Jungang Xu, Qiang Wang:
One CWM-Based Data Transformation Method in ETL Process. DBTA 2010: 1-4
2000 – 2009
- 2007
- [j1]Jungang Xu, Liang Zhou, Kun Zhang, Wenyao Zhang:
Model Management in Virtual Reality Research. Data Sci. J. 6: 797-805 (2007)
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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