近期论文
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期刊论文
[1] Tianlin Zhang, Jiaxu Leng, Ying Liu, “Deep learning for drug–drug interaction extraction from the literature: a review”, Briefings in Bioinformatics, Nov. 2019， https://doi.org/10.1093/bib/bbz087. (SCI 1, IF = 9.1)
[2] Jiaxu Leng, Ying Liu, Shang Chen, “Context-aware Attention Network for Image Recognition”, Neural Computing and Applications, Vol. 31(12), June 2019, pp. 6295-6305. (SCI 2, IF=4.66)
[3] Jiaxu Leng, Ying Liu, Dawei Du, Tianlin Zhang, Pei Quan, “Robust Obstacle Detection and Recognition for Driver Assistance Systems”, IEEE Transactions on Intelligent Transportation Systems, Vol. 21(4), April 2020, pp. 1560-1571. (SCI 2, IF=5.74)
[4] Ying Liu, Hongyuan Cui, Renliang Zhao, “Fast Acquisition of Spread Spectrum Signals using Multiple GPUs”, IEEE Transactions on Aerospace and Electronic Systems, Vol 55(6), December 2019, pp. 3117-3125. (SCI 2, IF=2.8)
[5] Jiaxu Leng, Ying Liu, Real-Time RGB-D Visual Tracking With Scale Estimation and Occlusion Handling, IEEE Access 2018，DOI: 10.1109/ACCESS.2018.2831443. (SCI 2, IF=4.1)
[6] Jiaxu Leng, Ying Liu, “An enhanced SSD with feature fusion and visual reasoning for object detection”, Neural Computing and Applications, Vol. 31, 2019, pp. 6549-6558. (SCI 2, IF=4.66)
[7] Ying Liu, Guoyu Ou, “Real-Time Vehicular Traffic Violation Detection in Traffic Monitoring Stream”, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, Vol. 22, (1) 2018, pp.53-64. (SCI 3, IF=2.57)
[8] Ying Liu, Haixin Zheng, Renliang Zhao, Liheng Jian, “Design and Evaluation of Multi-GPU enabled Multiple Symbol Detection Algorithm”, Journal of Supercomputing, Vol. 72(6), 2016.6, pp. 2111-2131, DOI 10.1007/s11227-015-1475-z.
[9] Zhongya Wang, Ying Liu, Jiajun Yang, Zheng Zheng, Kaichao Wu, “A Personalization-Oriented Academic Literature Recommendation Method”, Data Science Journal, 2015, DOI: http://doi.org/10.5334/dsj-2015-017.
[10] Hongyuan Cui, Jiajun Yang, Ying Liu, Zheng Zheng, Kaichao Wu, “Data Mining-based DNS Log Analysis”, Annals of Data Science, DOI: 10.1007/s40745-014-0023-7.
[11] Zhongya Wang, Ying Liu, Steve Chiu, “An Efficient Parallel Collaborative Filtering Algorithm on Multi-GPU Platform”, Journal of Supercomputing, Vol. 72(6), 2016.6, pp 2080-2094, DOI:10.1007/s11227-014-1333-4.
[12] Yuwei Wang, Yuanchun Zhou, Ying Liu, “A Grid-Based Clustering Algorithm for Wild Bird Distribution”, Frontiers of Computer Science, Vol. 7(4), 2013, pp. 475-485. DOI:10.1007/s11704-013-2223-2.
[13] Liheng Jian, Ying Liu, Weidong Yi, “CU-Simulator: A Parallel Scalable Simulation Platform for Radio Channel in Wireless Sensor Networks”, Ad Hoc & Sensor Wireless Networks, Vol.24, pp. 109-134.
[14] Liheng Jian, Cheng Wang, Ying Liu, Shenshen Liang, Weidong Yi, Yong Shi, "Parallel Data Mining on Graphics Processing Unit with Compute Unified Device Architecture (CUDA)", Journal of Supercomputing, Vol. 64(3), 2013, pp. 942-967.
[15] Ying Liu, Lingling Zhang, Yuehua Zhang, Yong Shi, " Bug Detection in Source Code in Process Monitoring", Journal of Computational Information System, Vol. 8(2), 2012, pp. 591-601.
[16] Ying Liu, Jianwei Li, Wei-keng Liao, Alok Choudhary, Yong Shi, “High Utility Itemsets Mining”, International Journal of Information Technology & Decision Making (IJITDM), Volume No.09, Issue No. 6, November 2010, pp. 905-934.
[17] Yuejin Zhang, Lingling Zhang, Ying Liu, Yong Shi, "Mining Intelligent Knowledge from a Two-phase Association Rules Mining", International Journal of Data Mining, Modeling and Management, Vol. 2, No. 4, 2010, pp. 403-418.
[18] Lian Duan, Lida Xu, Ying Liu and Jun Lee, “Cluster-based Outlier Detection”, Annals of Operations Research, Vol. 168, No. 1, April 2009, pp. 151-168.
[19] Guangli Nie, Lingling Zhang, Ying Liu, Xiuyu Zheng, Yong Shi, "Decision analysis of data mining project based on Bayesian risk", Journal of Expert Systems with Applications, Vol. 36, Issue 3, Part 1, April 2009, pp. 4589–4594.
[20] Cheng Wang, Ying Liu, Liheng Jian, Peng Zhang, "An Efficient Approach for Mining Web Content Sensitivity", International Journal of Knowledge and Web Intelligence, Vol. 1, Nos. 1/2, 2009, pp. 95-109.
[21] 冷佳旭, 刘莹，《基于深度学习的小目标检测与识别》，数据与计算发展前沿，2020，2(2).
[22] 陈源，王元钦，刘莹，《基于GPU加速的扩频信号捕获方法》，中国科学院研究生院学报， 2012年02期，pp. 240-245。
[23] 陈源，王元钦，刘莹，门陶，《基于通用计算机平台的航天测控系统研究》，测控技术， 2011年04期，pp. 8-12。
[24] 陈源，王元钦，刘莹，《基于CORBA的扩展型事件服务模型设计 》，计算机应用， S1期， pp 138-140+143， 2011。
[25] 刘莹，菅立恒， 梁莘燊， 李小君，高洋，王琤，《基于CUDA架构的GPU的并行数据挖掘技术研究》，科研信息化技术与应用，2010年第4期，pp. 37-52。
会议论文
Jinyi Liu, Jiaxu Leng, Ying Liu, “Deep Convolutional Neural Network Based Object Detector for X-Ray Baggage Security Imagery”, IEEE International Conference on Tools with Artificial Intelligence, November 2019, USA.
Ying Liu, Zhenyu Cui, Tianlin Zhang, Jiaxu Leng, “CA-RPT: Context-Aware Road Passage Time Estimation for Urban Traffic”, International Conference on Computational Science, June 2019, Portugal.
Tianlin Zhang, Ying Liu, Zhenyu Cui, Jiaxu Leng, “Short-Term Traffic Congestion Forecasting Using Attention-Based Long Short-Term Memory Recurrent Neural Network”, International Conference on Computational Science, June 2019, Portugal.
Zhenyu Cui, Ying Liu, Wei Zhao, “YUN: A Fast Ground-to-air Cloud Image Recognition Framework”, IEEE International Conference on Computer Supported Cooperative Work in Design, May 2019, Portugal.
Tianlin Zhang, Ying liu, Pei Quan, "Domain Specific Automatic Chinese Multiple-type Question Generation", IEEE International Conference on Bioinformatics and Biomedicine, December 2018, Spain.
Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan, Zhenyu Cui, "Context-Aware U-Net for Biomedical Image Segmentation", IEEE International Conference on Bioinformatics and Biomedicine, December 2018, Spain.
Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan, "Context Learning Network for Object Detection", IEEE International Conference on Data Mining, November 2018, Singapore.
Pei Quan, Yong Shi, Lingfeng Niu, Ying Liu, Tianlin Zhang, "Automatic Chinese Multiple-Choice Question Generation for Human Resource Performance Appraisal", International Academy of Information Technology and Quantitative Management, December 2018, USA.
Ying Liu, Linzhi Wu, “High Performance Geological Disaster Recognition using Deep Learning”, International Academy of Information Technology and Quantitative Management, December 2018, USA.
Pei Quan, Ying Liu, Tianlin Zhang, “A Novel Data Mining Approach Towards Human Resource Performance Appraisal”, ICCS, May 2018, China.
Ying Liu, Tianlin Zhang, Pei Quan, “A Novel Parsing-Based Automatic Domain Terminology Extraction Method”, ICCS, May 2018, China.
Ying Liu, Jinyi Liu, “Recognition and Classification of Rotorcraft by Micro-Doppler Signatures Using Deep Learning”, ICCS, May 2018, China.
Ying Liu, Xiang Chao, “Hybrid Learning Network: A Novel Architecture for Fast Learning”, International Conference on Information Technology and Quantitative Management, December 2017, India.
Yan, Tao Wu, Ying Liu, Yang Gao, ”An Efficient Sparse-Dense Matrix Multiplication on a Multicore System”, 17th IEEE International Conference on Communication Technology (ICCT 2017), October 2017, China. (EI)
Ying Liu, Jiajun Yang, “A Novel Learning-to-Rank Based Hybrid Method for Book Recommendation”, IEEE/WIC/ACM International Conference on Web Intelligence, September 2017, Leipzig, Germany.
Ying Liu, Hongyuan Cui, Guoqing Li, “A Novel Method for Ship Detection and Classification on Remote Sensing Images”, the 26th International Conference on Artificial Neural Networks, September 2017, Italy.
Ying Liu, Hongyuan Cui, Zheng Kuang, Guoqing Li, Ship Detection and Classification on Optical Remote Sensing Images Using Deep Learning, 4th Annual International Conference on Information Technology and Applications, May 2017, China.
Ying Liu, Linzhi Wu, “Disaster Recognition on Optical Remote Sensing Images Using Deep Learning”, International Conference on Information Technology and Quantitative Management, August 2016, Korea.
Hongyuan Cui, Ying Liu, Cheng Wang, “A Novel Self-adaptive Density-based Clustering Algorithm for Radar Signal Sorting”, IET International Radar Conference, September 2015, Hangzhou, China.
Ying Liu, Pengshan Ma, Hongyuan Cui, “Design and Development of FPGA-based High Performance Radar Data Stream Mining System”, International Conference on Information Technology and Quantitative Management, July 2015, Brazil.
Ying Liu, Hongyuan Cui, “Antenna Array Signal Direction of Arrival Estimation on Digital Signal Processor (DSP)”, International Conference on Information Technology and Quantitative Management, July 2015, Brazil.
Ying Liu, Jiayun Yang, “Improving Ranking-based Recommendation by Social Information and Negative Similarity”, International Conference on Information Technology and Quantitative Management, July 2015, Brazil.
Zhongya Wang, Ying Liu, Pengshan Ma, “A CUDA-enabled Parallel Implementation of Collaborative Filtering”, 3rd International Conference on Data Science, Beijing, May 2014.
Renliang Zhao, Haixin Zheng, Ying Liu, Liheng Jian, Xianglong Gu, Bingyin Han, Zhongya Wang, “CUDA-enabled Multiple Symbol Detection for PCM/FM Demodulation”, IEEE International Conference on Cloud and Service Computing, November 2013, Beijing, China.
Guoyu Ou, Ying Liu, Xinyu Ma, Cheng Wang, “DM-Midware: A Middleware to Enable High Performance Data Mining in Heterogeneous Cloud”, Workshop in conjunction with IEEE/WIC/ACM International Conference on Web Intelligence, November 2013, Atlanta, USA.
Weizhang Ruan, Ying Liu, Renliang Zhao, “Pattern Discovery in DNS Query Traffic”, International Conference on Information Technology and Quantitative Management, May 2013, China.
Guoyu Ou, Yang Gao, Ying Liu, “Real-Time Vehicular Traffic Violation Detection in Traffic Monitoring Stream”, Workshop in conjunction with IEEE/WIC/ACM International Conference on Web Intelligence, December 2012, Macau.
Liheng Jian, Weidong Yi, Ying Liu, “Fast On-Chip Quad-trees on GPU”, IET International Conference on Information Science and Control Engineering, December 2012, Shenzhen, China.
Yang Gao, Ying Liu, Cheng Wang, Xiaojun Li, Guoyu Ou, Yong Shi, “Design and Evaluation of a High Performance Distributed Expert System (HPDES) for Aerospace Ground Verification System”, Workshop on Social Computing and Web Service in conjunction with International Conference on Computational Science, June 2012, USA.
Xiaojun Li, Yang Gao, Ying Liu, “Performance Evaluation of Fast Fourier Transform Application on Heterogeneous Platforms”, International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), October 2011, Beijing, China.
Shenshen Liang, Ying Liu, Liheng Jian and Yang Gao, “A Utility-based Recommendation Approach for Academic Literatures”, Workshop on Optimization-based Data Mining and Web Intelligence in conjunction with IEEE/WIC/ACM International Conference on Web Intelligence, August 2011, France.
Mingjie Tang, Weihang Wang, Yexi Jiang, Yuanchun Zhou, Jinyan Li, Peng Cui, Ying Liu, Baoping Yan, “Birds Bring Flues? Mining Frequent and High Weighted Cliques from Birds Migration Networks”, 15th International Conference on Database Systems for Advanced Applications, 2010, v 5982 LNCS, PART 2, pp. 359-369.
Xiao Wang, Lingling Zhang, Yuehua Zhang, Ying Liu, Yong Shi, “Software Quality Prediction Models Using the ISBSG Database”, 11th International Symposium on Knowledge and Systems Sciences, September 2010, Xi’an China.
Shenshen Liang, Ying Liu, Cheng Wang，Liheng Jian, “Design and Evaluation of a Parallel K-Nearest Neighbor Algorithm on CUDA-enabled GPU”, 2nd IEEE Symposium on Web Society, August 2010, Beijing, China.
Xiuxiang Zhao, Yong Shi, Ying Liu, Lingling Zhang, “An Empirical Study of the Influence of Software Trustworthy Attributes to Software Trustworthiness”, 2nd International Conference on Software Engineering and Data Mining, July 2010, Chengdu, China.
Yuehua Zhang, Ying Liu, Lingling Zhang, Yong Shi, “A Data Mining Based Method: Detecting Software Defects in Source Code”, 2nd International Conference on Software Engineering and Data Mining, June 2010, Chengdu, China.
Shenshen Liang, Ying Liu, Cheng Wang and Liheng Jian, “A CUDA-based Parallel Implementation of K-Nearest Neighbor Algorithm”, International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), October 2009, Zhangjiajie, China.
Xiuxiang Zhao, Ying Liu, Yong Shi, “Predicting Software Defects using Multiple Criteria Linear Programming”, International Symposium on Intelligent Information Systems and Applications, October 2009, Qingdao, China.
Shenshen Liang, Cheng Wang, Ying Liu and Liheng Jian, “CUKNN: A Parallel Implementation of K-Nearest Neighbor on CUDA-enabled GPU”, IEEE Youth Conference on Information, Computing and Telecommunications, September 2009, Beijing, China.
Dengyuan Wu, Ying Liu, Ge Gao, Zhendong Mao, Weishan Ma and Tao He, "An Adaptive Ensemble Classifier for Concept Drifting Stream", IEEE Symposium on Computational Intelligence and Data Mining, March 2009, USA.
Dengyuan Wu, Ying Liu, Ge Gao, Zhendong Mao, Weishan Ma and Tao He, "C3M: A Classification Model for Multivariate Motion Time Series", CISE2009, Los Angeles, USA.
Cheng Wang, Ying Liu, Liheng Jian, Peng Zhang, “A Utility-based Web Content Sensitivity Mining Approach”, Workshop on Optimization-based Data Mining and Web Intelligence in conjunction with IEEE/WIC/ACM International Conference on Web Intelligence, December 2008, Sydney, Australia.
Lin Zhou, Ying Liu, Jing Wang, Yong Shi, “Utility-based Web Path Traversal Pattern Mining”, Workshop on High Performance Data Mining in conjunction with IEEE International Conference on Data Mining, October 2007, Omaha, USA.
Ying Liu, Peter Scheuermann, Xingsen Li, Xingquan Zhu, “Using WordNet to Disambiguate Word Senses for Text Classification”, Workshop on Text Data Mining in conjunction with 7th International Conference on Computational Science, May 2007, Beijing, China.
Jing Wang, Ying Liu, Lin Zhou, Yong Shi, Xingquan Zhu, “Pushing Frequency Constraint to Utility Mining Model”, Workshop on High Performance Data Mining in conjunction with 7th International Conference on Computational Science, May 2007, Beijing, China.
Xingsen Li, Yong Shi, Ying Liu, “A Knowledge Management Platform for Optimization-based Data Mining”, Workshop on Optimization-based Data Mining Techniques with Applications in conjunction with 6th IEEE International Conference on Data Mining, December 2006, Hong Kong, China.
Xingsen Li, Ying Liu, Jun Li, Yong Shi, Yuejin Zhang, “A Knowledge Management Model for Middle and Small Enterprises”, 2006 International Conference on Distributed Computing and Applications for Business Engineering and Sciences, October 2006, Hangzhou, China.
Ying Liu, Alok Choudhary, Jianhong Zhou, Ashfaq Khokhar, “A Scalable Distributed Stream Mining System for Highway Traffic Data”, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), September 2006, Berlin, Germany.
Ying Liu, Wei-keng Liao, Alok Choudhary, “A Fast High Utility Itemsets Mining Algorithm”, Workshop on Utility-Based Data Mining in conjunction with the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August 2005, Chicago, Illinois, USA.
Ying Liu, Wei-keng Liao, Alok Choudhary, “A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets”, 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2005, Hanoi, Vietnam.
Ying Liu, Jayaprakash Pisharath, Wei-keng Liao, Gokhan Memik, Alok Choudhary, Pradeep Dubey, “Performance Evaluation and Characterization of Scalable Data Mining Algorithms”, 16th IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS), pp. 620-625, November 2004, MIT Cambridge, Massachusetts, USA.
Ying Liu, Wei-keng Liao, Alok Choudhary, Steve Chiu, “On-Line Processing Model for Data Mining in Large Scientific Simulations”, 7th Workshop on Mining Scientific and Engineering Datasets in conjunction with SIAM International Conference on Data Mining (SDM), pp. 31-38, April 2004, Lake Buena Vista, Florida, USA.
Wei-keng Liao, Ying Liu, Alok Choudhary, “A Grid-based Clustering Algorithm using Adaptive Mesh Refinement”, 7th Workshop on Mining Scientific and Engineering Datasets in conjunction with SIAM International Conference on Data Mining (SDM), pp. 61-69, April 2004, Lake Buena Vista, Florida, USA.
Ying Liu, Wei-keng Liao, Alok Choudhary, “Design and Evaluation of a Parallel HOP Clustering Algorithm for Cosmological Simulation”, 17th IEEE International Parallel and Distributed Processing Symposium (IPDPS), April 2003, Nice, France.
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