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

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

TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings - Tianyu Zong; Bingkang Shi; Hongzhu Yi; Jungang Xu (AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA, 2025)

An Efficient Hybrid Quantum Variational Classifier With Matrix Product State - Wanqi Sun; Jungang Xu; Chenghua Duan (2025 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2025, Hyderabad, India, April 6-11, 2025, 2025)

Noise-Mitigated Variational Quantum Eigensolver with Pre-training and Zero-Noise Extrapolation - Wanqi Sun; Jungang Xu; Chenghua Duan (2025 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2025, Hyderabad, India, April 6-11, 2025, 2025)

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

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

A Neural Architecture Predictor based on GNN-Enhanced Transformer - Xunzhi Xiang; Kun Jing; Jungang Xu (International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain, 2024)

Feature Activation-Driven Zero-Shot NAS: A Contrastive Learning Framework - Di Wang; Xunzhi Xiang; Kun Jing; Jungang Xu (Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part I, 2024)

NAS-Bench-Compre: A Comprehensive Neural Architecture Search Benchmark with Customizable Components - Di Wang; Kun Jing; Jungang Xu (Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part I, 2024)

CLIP-Driven Low-Cost Image Captioning - Yiyu Wang; Jungang Xu; Yingfei Sun (International Joint Conference on Neural Networks, IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024, 2024)

Improving Image Captioning with Image Concepts of Words - Yiyu Wang; Xunzhi Xiang; Kun Jing; Jungang Xu; Yingfei Sun (Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part II, 2024)

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

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

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; Yibing Wang; Bart De Schutter; Jungang Xu (IEEE Trans. Intell. Transp. Syst., 2023)

A Novel Clinical Trial Prediction-Based Factual Inconsistency Detection Approach for Medical Text Summarization - Shuaimin Li; Jungang Xu (International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023, 2023)

AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution - Keyao Li; Jungang Xu (International Neural Network Society Workshop on Deep Learning Innovations and Applications, INNS DLIA@IJCNN 2023, Gold Coast, Australia, 23 June 2023, 2023)

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)

End-to-End Transformer Based Model for Image Captioning - Yiyu Wang; Jungang Xu; Yingfei Sun (Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 2022)

KAAS: A Keyword-Aware Attention Abstractive Summarization Model for Scientific Articles - Shuaimin Li; Jungang Xu (Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part III, 2022)

Few-shot Edge Classification in Graph Meta-learning - Xiaoxiao Yang; Jungang Xu (9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022, 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, IJCAI 2022, Vienna, Austria, 23-29 July 2022, 2022)

A Graph Architecture Search Method Based On Grouped Operations - Luoyu Chen; Jungang Xu; Kun Jing; Yingfei Sun (International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022, 2022)

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

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

An Answer Driven Model For Paragraph-level Question Generation - Xu Chen; Jungang Xu (International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 2021)

A Light Ranker for Open-Domain Question Answering - Boyu Qiu; Jungang Xu; Xu Chen; Yingfei Sun (International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 2021)

Hierarchical Dialogue State Tracking with Machine Reading Comprehension - Boyu Qiu; Jungang Xu; Yingfei Sun (International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 2021)

LBNet: A Model for Judicial Reading Comprehension - Hao Liu; Jungang Xu (Web and Big Data. APWeb-WAIM 2020 International Workshops - KGMA 2020, SemiBDMA 2020, DeepLUDA 2020, Tianjin, China, September 18-20, 2020, Revised Selected Papers, 2020)

K2RDF: A Distributed RDF Data Management System on Kudu and Impala - Xu Chen; Boyu Qiu; Jungang Xu; Renfeng Liu (Benchmarking, Measuring, and Optimizing - Third BenchCouncil International Symposium, Bench 2020, Virtual Event, November 15-16, 2020, Revised Selected Papers, 2020)

NASABN: A Neural Architecture Search Framework for Attention-Based Networks - Kun Jing; Jungang Xu; Hui Xu (2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, 2020)

Urban Traffic Flow Forecasting Based on Memory Time-Series Network - Shengjian Zhao; Shu Lin; Yunlong Li; Jungang Xu; Yibing Wang (23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020, Rhodes, Greece, September 20-23, 2020, 2020)

A Novel Image Captioning Method Based on Generative Adversarial Networks - Yang Fan; Jungang Xu; Yingfei Sun; Yiyu Wang (Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part IV, 2019)

Time Series Traffic Prediction via Hybrid Neural Networks - Shengjian Zhao; Shu Lin; Jungang Xu (2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, Auckland, New Zealand, October 27-30, 2019, 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)

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)

Spark24615330212024821270252162641530740313503250836848 (Survey on Performance Optimization Technologies for Spark) - Husheng Liao; Shanshan Huang; Jungang Xu; Renfeng Liu (3574531639264263118523398, 2018)

A Recurrent Neural Network Language Model Based on Word Embedding - Shuaimin Li; Jungang Xu (Web and Big Data - APWeb-WAIM 2018 International Workshops: MWDA, BAH, KGMA, DMMOOC, DS, Macau, China, July 23-25, 2018, Revised Selected Papers, 2018)

One Self-Adaptive Memory Scheduling Algorithm for the Shuffle Process in Spark Platform - Jungang Xu; Shanshan Huang; Renfeng Liu; Pengfei Li (IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018, 2018)

A Hard Real-time Scheduler for Spark on YARN - Guolu Wang; Jungang Xu; Renfeng Liu; Shanshan Huang (18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2018, Washington, DC, USA, May 1-4, 2018, 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 - November 4, 2018, 2018)

Long-Term Recurrent Merge Network Model for Image Captioning - Yang Fan; Jungang Xu; Yingfei Sun; Ben He (IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, 5-7 November 2018, Volos, Greece, 2018)

A Study on Performance Sensitivity to Data Sparsity for Automated Essay Scoring - Yanhua Ran; Ben He; Jungang Xu (Knowledge Science, Engineering and Management - 11th International Conference, KSEM 2018, Changchun, China, August 17-19, 2018, Proceedings, Part I, 2018)

UCAS at TREC-2018 Precision Medicine Track - Zhi Zheng; Canjia Li; Ben He; Jungang Xu (Proceedings of the Twenty-Seventh Text REtrieval Conference, TREC 2018, Gaithersburg, Maryland, USA, November 14-16, 2018, 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 (CoRR, 2018)

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

Integrating Feedback-Based Semantic Evidence to Enhance Retrieval Effectiveness for Clinical Decision Support - Chenhao Yang; Ben He; Jungang Xu (Web and Big Data - First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part II, 2017)

A document-based neural relevance model for effective clinical decision support - Yanhua Ran; Ben He; Kai Hui; Jungang Xu; Le Sun (2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, MO, USA, November 13-16, 2017, 2017)

A novel compression algorithm decision method for spark shuffle process - Shanshan Huang; Jungang Xu; Renfeng Liu; Husheng Liao (2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, December 11-14, 2017, 2017)

An Improved Convolutional Neural Network for Sentence Classification Based on Term Frequency and Segmentation - Qi Wang; Jungang Xu; Ben He; Zhengcai Qin (Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II, 2017)

Two improved continuous bag-of-word models - Qi Wang; Jungang Xu; Hong Chen; Ben He (2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017, 2017)

A Study of Distributed Semantic Representations for Automated Essay Scoring - Cancan Jin; Ben He; Jungang Xu (Knowledge Science, Engineering and Management - 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings, 2017)

UCAS at TREC-2017 Precision Medicine Track - Canjia Li; Ben He; Yingfei Sun; Jungang Xu (Proceedings of The Twenty-Sixth Text REtrieval Conference, TREC 2017, Gaithersburg, Maryland, USA, November 15-17, 2017, 2017)

A Novel Method for Tuning Configuration Parameters of Spark Based on Machine Learning - Guolu Wang; Jungang Xu; Ben He (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, HPCC/SmartCity/DSS 2016, Sydney, Australia, December 12-14, 2016, 2016)

A Novel Performance Evaluation and Optimization Model for Big Data System - Jungang Xu; Guolu Wang; Shengyuan Liu; Renfeng Liu (15th International Symposium on Parallel and Distributed Computing, ISPDC 2016, Fuzhou, China, July 8-10, 2016, 2016)

A Document Modeling Method Based on Deep Generative Model and Spectral Hashing - Hong Chen; Jungang Xu; Qi Wang; Ben He (Knowledge Science, Engineering and Management - 9th International Conference, KSEM 2016, Passau, Germany, October 5-7, 2016, Proceedings, 2016)

Multilevel Syntactic Parsing Based on Recursive Restricted Boltzmann Machines and Learning to Rank - Jungang Xu; Hong Chen; Shilong Zhou; Ben He (Intelligence and Security Informatics - 11th Pacific Asia Workshop, PAISI 2016, Auckland, New Zealand, April 19, 2016, Proceedings, 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, Pisa, Italy, April 4-8, 2016, 2016)

A Set-Based Training Query Classification Approach for Twitter Search - Qingli Ma; Ben He; Jungang Xu; Bin Wang (Web-Age Information Management - 17th International Conference, WAIM 2016, Nanchang, China, June 3-5, 2016, Proceedings, Part I, 2016)

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

A sample partition method for learning to rank based on query-level vector extraction - Jungang Xu; Shilong Zhou; Hong Chen; Pengfei Li (2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015, 2015)

Robust Corner Detection Based on Bilateral Filter in Direct Curvature Scale Space - Bin Liao; Jungang Xu; Huiying Sun; Hong Chen (Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part III, 2015)

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 Document Clustering Algorithm Based on Semi-constrained Hierarchical Latent Dirichlet Allocation - Jungang Xu; Shilong Zhou; Lin Qiu; Shengyuan Liu; Pengfei Li (Knowledge Science, Engineering and Management - 7th International Conference, KSEM 2014, Sibiu, Romania, October 16-18, 2014. Proceedings, 2014)

Hyper-geometric Model for Information Retrieval Revisited - Sha Lu; Ben He; Jungang Xu (Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Singapore, December 9-11, 2013. Proceedings, 2013)

Evaluating task scheduling in hadoop-based cloud systems - Shengyuan Liu; Jungang Xu; Zongzhen Liu; Xu Liu (2013 IEEE International Conference on Big Data (IEEE BigData 2013), 6-9 October 2013, Santa Clara, CA, USA, 2013)

Clustering-based transduction for learning a ranking model with limited human labels - Xin Zhang; Ben He; Tiejian Luo; Dongxing Li; Jungang Xu (22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013, 2013)

Performance Analysis of MPI Parallel Programs on Xen Virtual Machines - Jungang Xu; Yue Zhao; Kunlin Zhan; Hui Li; Xiuqi Han (10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, HPCC/EUC 2013, Zhangjiajie, China, November 13-15, 2013, 2013)

A Parallel Algorithm for Bayesian Network Parameter Learning Based on Factor Graph - Yue Zhao; Jungang Xu; Yunjun Gao (25th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2013, Herndon, VA, USA, November 4-6, 2013, 2013)

The Failure Prediction of Cluster Systems Based on System Logs - Jungang Xu; Hui Li (Knowledge Science, Engineering and Management - 6th International Conference, KSEM 2013, Dalian, China, August 10-12, 2013. Proceedings, 2013)

UCAS at TREC 2012 Microblog Track - Xin Zhang; Sha Lu; Ben He; Jungang Xu; Tiejian Luo (Proceedings of The Twenty-First Text REtrieval Conference, TREC 2012, Gaithersburg, Maryland, USA, November 6-9, 2012, 2012)

One CWM-Based Data Transformation Method in ETL Process - Ying Pei; Jungang Xu; Qiang Wang (Second International Workshop on Database Technology and Applications, DBTA 2010, Wuhan, Hubei, China, November 27-28, 2010, Proceedings, 2010)

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