Model Management in Virtual Reality Research. - Jungang Xu; Liang Zhou; Kun Zhang; Wenyao Zhang (Data Sci. J., 2007)

One CWM-Based Data Transformation Method in ETL Process. - Ying Pei; Jungang Xu; Qiang Wang (DBTA, 2010)

UCAS at TREC 2012 Microblog Track. - Xin Zhang 073; Sha Lu; Ben He; Jungang Xu; Tiejian Luo (TREC, 2012)

Hyper-geometric Model for Information Retrieval Revisited. - Sha Lu; Ben He; Jungang Xu (AIRS, 2013)

Evaluating task scheduling in hadoop-based cloud systems. - Shengyuan Liu; Jungang Xu; Zongzhen Liu; Xu Liu 001 (IEEE BigData, 2013)

Clustering-based transduction for learning a ranking model with limited human labels. - Xin Zhang 073; Ben He; Tiejian Luo; Dongxing Li; Jungang Xu (CIKM, 2013)

Performance Analysis of MPI Parallel Programs on Xen Virtual Machines. - Jungang Xu; Yue Zhao; Kunlin Zhan; Hui Li; Xiuqi Han (HPCC/EUC, 2013)

A Parallel Algorithm for Bayesian Network Parameter Learning Based on Factor Graph. - Yue Zhao; Jungang Xu; Yunjun Gao (ICTAI, 2013)

The Failure Prediction of Cluster Systems Based on System Logs. - Jungang Xu; Hui Li (KSEM, 2013)

A Document Clustering Algorithm Based on Semi-constrained Hierarchical Latent Dirichlet Allocation. - Jungang Xu; Shilong Zhou; Lin Qiu; Shengyuan Liu; Pengfei Li (KSEM, 2014)

Automated Essay Scoring by Capturing Relative Writing Quality. - Hongbo Chen; Jungang Xu; Ben He (Comput. J., 2014)

Online High-Quality Topic Detection for Bulletin Board Systems. - Jungang Xu; Hui Li; Yan Zhao; Ben He (IEICE Trans. Inf. Syst., 2014)

Improving mixing rate with tempered transition for learning restricted Boltzmann machines. - Jungang Xu; Hui Li; Shilong Zhou (Neurocomputing, 2014)

A sample partition method for learning to rank based on query-level vector extraction. - Jungang Xu; Shilong Zhou; Hong Chen; Pengfei Li (IJCNN, 2015)

Robust Corner Detection Based on Bilateral Filter in Direct Curvature Scale Space. - Bin Liao; Jungang Xu; Huiying Sun; Hong Chen (ICSI (3), 2015)

A Structure Learning Algorithm for Bayesian Network Using Prior Knowledge. - Jungang Xu; Yue Zhao; Jian Chen 011; Chao Han 002 (J. Comput. Sci. Technol., 2015)

A Novel Method for Tuning Configuration Parameters of Spark Based on Machine Learning. - Guolu Wang; Jungang Xu; Ben He (HPCC/SmartCity/DSS, 2016)

A Novel Performance Evaluation and Optimization Model for Big Data System. - Jungang Xu; Guolu Wang; Shengyuan Liu; Renfeng Liu (ISPDC, 2016)

A Document Modeling Method Based on Deep Generative Model and Spectral Hashing. - Hong Chen; Jungang Xu; Qi Wang; Ben He (KSEM, 2016)

Multilevel Syntactic Parsing Based on Recursive Restricted Boltzmann Machines and Learning to Rank. - Jungang Xu; Hong Chen; Shilong Zhou; Ben He (PAISI, 2016)

Direct measurement of training query quality for learning to rank. - Qingli Ma; Ben He; Jungang Xu (SAC, 2016)

A Set-Based Training Query Classification Approach for Twitter Search. - Qingli Ma; Ben He; Jungang Xu; Bin Wang 004 (WAIM (1), 2016)

Integrating Feedback-Based Semantic Evidence to Enhance Retrieval Effectiveness for Clinical Decision Support. - Chenhao Yang; Ben He; Jungang Xu (APWeb/WAIM (2), 2017)

A document-based neural relevance model for effective clinical decision support. - Yanhua Ran; Ben He; Kai Hui 001; Jungang Xu; Le Sun 001 (BIBM, 2017)

A novel compression algorithm decision method for spark shuffle process. - Shanshan Huang; Jungang Xu; Renfeng Liu; Husheng Liao (IEEE BigData, 2017)

An Improved Convolutional Neural Network for Sentence Classification Based on Term Frequency and Segmentation. - Qi Wang; Jungang Xu; Ben He; Zhengcai Qin (ICANN (2), 2017)

Two improved continuous bag-of-word models. - Qi Wang; Jungang Xu; Hong Chen; Ben He (IJCNN, 2017)

A Study of Distributed Semantic Representations for Automated Essay Scoring. - Cancan Jin; Ben He; Jungang Xu (KSEM, 2017)

UCAS at TREC-2017 Precision Medicine Track. - Canjia Li; Ben He; Yingfei Sun; Jungang Xu (TREC, 2017)

A Feedback-Based Approach to Utilizing Embeddings for Clinical Decision Support. - Chenhao Yang; Ben He; Canjia Li; Jungang Xu (Data Sci. Eng., 2017)

A Recurrent Neural Network Language Model Based on Word Embedding. - Shuaimin Li; Jungang Xu (APWeb/WAIM Workshops, 2018)

One Self-Adaptive Memory Scheduling Algorithm for the Shuffle Process in Spark Platform. - Jungang Xu; Shanshan Huang; Renfeng Liu; Pengfei Li (IEEE BigData, 2018)

A Hard Real-time Scheduler for Spark on YARN. - Guolu Wang; Jungang Xu; Renfeng Liu; Shanshan Huang (CCGrid, 2018)

NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. - Canjia Li; Yingfei Sun; Ben He; Le Wang; Kai Hui 001; Andrew Yates; Le Sun 001; Jungang Xu (EMNLP, 2018)

Long-Term Recurrent Merge Network Model for Image Captioning. - Yang Fan; Jungang Xu; Yingfei Sun; Ben He (ICTAI, 2018)

A Study on Performance Sensitivity to Data Sparsity for Automated Essay Scoring. - Yanhua Ran; Ben He; Jungang Xu (KSEM (1), 2018)

UCAS at TREC-2018 Precision Medicine Track. - Zhi Zheng; Canjia Li; Ben He; Jungang Xu (TREC, 2018)

Neural relevance model using similarities with elite documents for effective clinical decision support. - Yanhua Ran; Ben He; Kai Hui 001; Jungang Xu; Le Sun 001 (Int. J. Data Min. Bioinform., 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)

A Novel Image Captioning Method Based on Generative Adversarial Networks. - Yang Fan; Jungang Xu; Yingfei Sun; Yiyu Wang (ICANN (4), 2019)

Time Series Traffic Prediction via Hybrid Neural Networks. - Shengjian Zhao; Shu Lin 002; Jungang Xu (ITSC, 2019)

Image Captioning based on Deep Learning Methods: A Survey. - Yiyu Wang; Jungang Xu; Yingfei Sun; Ben He (CoRR, 2019)

A Survey on Neural Network Language Models. - Kun Jing; Jungang Xu (CoRR, 2019)

A Survey on Neural Machine Reading Comprehension. - Boyu Qiu; Xu Chen; Jungang Xu; Yingfei Sun (CoRR, 2019)

LBNet: A Model for Judicial Reading Comprehension. - Hao Liu; Jungang Xu (APWeb/WAIM Workshops, 2020)

K2RDF: A Distributed RDF Data Management System on Kudu and Impala. - Xu Chen; Boyu Qiu; Jungang Xu; Renfeng Liu (Bench, 2020)

NASABN: A Neural Architecture Search Framework for Attention-Based Networks. - Kun Jing; Jungang Xu; Hui Xu (IJCNN, 2020)

Urban Traffic Flow Forecasting Based on Memory Time-Series Network. - Shengjian Zhao; Shu Lin 002; Yunlong Li; Jungang Xu; Yibing Wang (ITSC, 2020)

An Answer Driven Model For Paragraph-level Question Generation. - Xu Chen; Jungang Xu (IJCNN, 2021)

A Light Ranker for Open-Domain Question Answering. - Boyu Qiu; Jungang Xu; Xu Chen; Yingfei Sun (IJCNN, 2021)

Hierarchical Dialogue State Tracking with Machine Reading Comprehension. - Boyu Qiu; Jungang Xu; Yingfei Sun (IJCNN, 2021)

A two-step abstractive summarization model with asynchronous and enriched-information decoding. - Shuaimin Li; Jungang Xu (Neural Comput. Appl., 2021)

End-to-End Transformer Based Model for Image Captioning. - Yiyu Wang; Jungang Xu; Yingfei Sun (AAAI, 2022)

KAAS: A Keyword-Aware Attention Abstractive Summarization Model for Scientific Articles. - Shuaimin Li; Jungang Xu (DASFAA (3), 2022)

Few-shot Edge Classification in Graph Meta-learning. - Xiaoxiao Yang; Jungang Xu (DSAA, 2022)

Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search. - Kun Jing; Jungang Xu; Pengfei Li (IJCAI, 2022)

A Graph Architecture Search Method Based On Grouped Operations. - Luoyu Chen; Jungang Xu; Kun Jing; Yingfei Sun (IJCNN, 2022)

A neural architecture generator for efficient search space. - Kun Jing; Jungang Xu; Zhen Zhang (Neurocomputing, 2022)

A visual persistence model for image captioning. - Yiyu Wang; Jungang Xu; Yingfei Sun (Neurocomputing, 2022)

A Novel Clinical Trial Prediction-Based Factual Inconsistency Detection Approach for Medical Text Summarization. - Shuaimin Li; Jungang Xu (IJCNN, 2023)

AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution. - Keyao Li; Jungang Xu (INNS DLIA@IJCNN, 2023)

An architecture entropy regularizer for differentiable neural architecture search. - Kun Jing; Luoyu Chen; Jungang Xu (Neural Networks, 2023)

Robustness Analysis of Platoon Control for Mixed Types of Vehicles. - Yixia Wang; Shu Lin 002; Yibing Wang; Bart De Schutter; Jungang Xu (IEEE Trans. Intell. Transp. Syst., 2023)

MRC-Sum: An MRC framework for extractive summarization of academic articles in natural sciences and medicine. - Shuaimin Li; Jungang Xu (Inf. Process. Manag., 2023)

HierMDS: a hierarchical multi-document summarization model with global-local document dependencies. - Shuimin Li; Jungang Xu (Neural Comput. Appl., 2023)

TransETA: transformer networks for estimated time of arrival with local congestion representation. - Shu Lin 002; Yanyan Xu 002; Shengjian Zhao; Yibing Wang; Jungang Xu (Appl. Intell., 2023)

A Neural Architecture Predictor based on GNN-Enhanced Transformer. - Xunzhi Xiang; Kun Jing; Jungang Xu (AISTATS, 2024)

NAS-Bench-Compre: A Comprehensive Neural Architecture Search Benchmark with Customizable Components. - Di Wang; Kun Jing; Jungang Xu (ICANN (1), 2024)

Feature Activation-Driven Zero-Shot NAS: A Contrastive Learning Framework. - Di Wang; Xunzhi Xiang; Kun Jing; Jungang Xu (ICANN (1), 2024)

CLIP-Driven Low-Cost Image Captioning. - Yiyu Wang; Jungang Xu; Yingfei Sun (IJCNN, 2024)

Improving Image Captioning with Image Concepts of Words. - Yiyu Wang; Xunzhi Xiang; Kun Jing; Jungang Xu; Yingfei Sun (KSEM (2), 2024)

Text Data-Centric Image Captioning with Interactive Prompts. - Yiyu Wang; Hao Luo 004; Jungang Xu; Yingfei Sun; Fan Wang 019 (CoRR, 2024)

Correction to: HierMDS: a hierarchical multi-document summarization model with global-local document dependencies. - Shuaimin Li; Jungang Xu (Neural Comput. Appl., 2024)

TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings. - Tianyu Zong; Bingkang Shi; Hongzhu Yi; Jungang Xu (AAAI, 2025)

An Efficient Hybrid Quantum Variational Classifier With Matrix Product State. - Wanqi Sun; Jungang Xu; Chenghua Duan (ICASSP, 2025)

Noise-Mitigated Variational Quantum Eigensolver with Pre-training and Zero-Noise Extrapolation. - Wanqi Sun; Jungang Xu; Chenghua Duan (ICASSP, 2025)

Zero-shot neural architecture search with weighted response correlation. - Kun Jing; Luoyu Chen; Jungang Xu; Jianwei Tai; Yiyu Wang; Shuaimin Li (Neurocomputing, 2025)

A Stochastic Traffic Flow Model-Based Reinforcement Learning Framework For Advanced Traffic Signal Control. - Yifan Zhu; Yisheng Lv; Shu Lin 002; Jungang Xu (IEEE Trans. Intell. Transp. Syst., 2025)

TNCSE: Tensor's Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings. - Tianyu Zong; Bingkang Shi; Hongzhu Yi; Jungang Xu (CoRR, 2025)

Control of traffic network signals based on deep deterministic policy gradients. - Huifeng Hu; Shu Lin; Ping Wang; Jungang Xu (Appl. Intell., 2025)

JTCSE: Joint Tensor-Modulus Constraints and Cross-Attention for Unsupervised Contrastive Learning of Sentence Embeddings. - Tianyu Zong; Hongzhu Yi; Bingkang Shi; Yuanxiang Wang; Jungang Xu (CoRR, 2025)