General

Ying Liu, Professor (adjunct Professor at Key Lab of Big Data Mining and Knowledge Management)

Email:yingliu@ucas.ac.cn
Telephone:69671791
Mobile phone:
Address: 80 ZhongGuanCun East Road
Postcode: 100190
Personal homepage URL: http://www.hpdm.ac.cn

部门/实验室:计算机与控制学院

Research Areas

Research Interests

data mining, parallel computing, big data.
 



Research Project


  • University of Chinese Academy of Sciences


Ship Detection and Recognition on Remote Sensing Images. PI, Research funded by Remote Sensing Institute and Digital Earth Center, Chinese Academy of Sciences, 2016 - 2018.


City Public Transportation Big Data. PI, funded by GuangDong Provincial Science and Technology Project, 2016-2019.


DCN Performance Analysis on GPU-based cloud. Research funded by Huawei Corporation, 2017-2018.


Multi-source Big Data based Credit Scoring for Internet Banking. PI, Research funded by National Natural Science Foundation of China, 2017-2020.


DNS Log and Registration Data Mining. PI, Research funded by China Internet Network Information Center, 2013- 2014.


Utility-based Customized Academic Literature Recommendation System. PI, Research funded by National Natural Science Foundation of China, 2013 - 2015.

DNS Stream Data Mining. PI, Research funded by China Internet Network Information Center, 2012 - 2013.

Traffic Stream Monitoring and Auditing. 
PI, Research funded by China Internet Center, 2012.

Cloud-enabled Scientific Simulation. PI, Research funded by Agilent Technologies Foundation, 2012 - 2013.

Cross Platform nVidia GPU Accelerated High-Performance Data Graphic Visualization. PI, Research funded by Agilent Technologies Foundation, 2010- 2011. 

High Performance Data Mining with CUDA. PI, Research funded by NVIDIA, 2009.

 

Traffic Stream Mining on Sensor Networks. PI, Research funded by Ministry of Education of China, 2009 - 2010.


Utility Mining. PI, Research funded by President Fund of Graduate University of Chinese Academy of Sciences, 2009 - 2010.
 

Models and Methods for Trustworthy Software Risk Control. Research funded by National Natural Science Foundation of China, 2008 - 2010.

 

High Performance Data Mining. Research funded by National Natural Science Foundation of China, 2007 - 2009.

 

Individual Credit Scoring. Project funded by the People's Bank of China, 2006 - 2007.


 

  • Ultra-Scale Computing Laboratory, Northwestern University, USA

 (Research Assistant, September 2001 - June 2005)


Distributed Mining on Data Streams. Research funded by National Science Foundation.


Utility Mining. Research funded by National Science Foundation.


Performance Evaluation and Characterization of Scalable Data Mining Algorithms. Research funded by Intel Corporation.

 

High Performance Data Mining in Large-scale Scientific Simulations. Research funded by Department of Energy (DOE).


  • Database System Group, Northwestern University, USA

  (Research Assistant, September 1999 - August 2001)


Text Classification. Research funded by National Science Foundation.


Data Warehousing. Research funded by National Aeronautics and Space Administration (NASA).

Education


Northwestern University, Evanston, IL,USA
Ph. D. in Computer Engineering, December 2005
Dissertation: High Performance Data Mining Techniques for Large Databases
Advisor: Prof. Alok Choudhary


Northwestern University, Evanston, IL, USA 
M.S. in Computer Engineering, December 2001
Project: Using WordNet to Disambiguate Word Senses
Advisor: Prof. Peter Scheuermann


Peking University, Beijing, China
B.S. (major) in Computer Science, B.A. (minor) in Economics, July 1999

Experience

   
Work Experience


  • School of Computer Science and Technology, University of Chinese Academy of Sciences

Professor, December 2015 - present

Associate Professor, June 2007- Nov. 2015

Assistant Professor, January 2006 - May 2007

  • University of Nebraska at Omaha, Omaha, NE, USA

Visiting Scientist, July 2009 - September 2009  

  • Northwestern University, Evanston, IL, USA

Research Associate, July 2005 - November 2005

Teaching Experience


Graduate Courses


Internatioal School, University of Chinese Academy of Sciences
Data Mining (September 2013- present)

School of Computer Science and Technology
, University of Chinese Academy of Sciences 

Data Mining Algorithm Seminar (September 2009 - present)
High Performance Computing with CUDA (September 2009 - present)

Data Mining (September 2006 - Present)

Advanced Data Mining Techniques (February 2007- Spring 2010)


Computing and Communication Engineering College, University of Chinese Academy of Sciences
Data Mining  (March 2007- May 2007)


Undergraduate Courses


School of Computer Science and Technology, University of Chinese Academy of Sciences 

Data Mining (March 2017 - present) 

 

Training Courses

 

Beijing Institute of Technology

Advanced CUDA Technology (September 2018)


China Aerospace Science and Technique Corporation

Big Data Mining & High Performance Computing with CUDA (November 2017)


Guangdong University of Technology

Big Data Mining & Analysis (August 2016)


Transport Planning and Research institute, Ministry of Transport, China

Big Data (May 2016)


Remote Sensing Institute and Digital Earth Center, Chinese Academy of Sciences

Big Data Mining & Analysis (November 2015)


Chinese Academy of Sciences

Big Data Mining (June 2016)


Chinese Academy of Sciences

Big Data Mining (May 2014, 2016)


Dalian Institute of Technology  

High Performance Computing with CUDA (2014 - 2015)


China-Denmark School, University of Chinese Academy of Sciences

Data Mining and Applications(2013 - 2015)


Management School, University of Chinese Academy of Sciences 

Data Mining and Applications(2011 - 2015)


National Astronomical Observatories, Chinese Academy of Sciences 

High Performance Computing with CUDA (November 2013)


Institute of Software, Chinese Academy of Sciences 

Data Mining (August 2010) 


Computer Network Information Center, Chinese Academy of Sciences 

High Performance Computing with CUDA (2009 - present) 


Agilent Technologies, Inc.

High Performance Computing with CUDA (June 2009)




Honors & Distinctions


ZhuLiYueHua Best Faculty Award, Chinese Academy of Sciences, 2017.

Best Paper Award, International Conference on Information Technology and Quantitative Management, Brazil, 2015

Best Poster Award, Conference on Scientific Data, Lanzhou, China, 2015

Best CUDA Teaching Center (China), Nvidia, 2014
CUDA Research Center, awarded by Nvidia, 2012
CUDA Teaching Center, awarded by Nvidia, 2012
Best Faculty Award, University of Chinese Academy of Sciences, 2009, 2013
Second Prize in Beijing Science and Technology Award, 2011
Third Prize in Beijing Science and Technology Award, 2010
Best Course Award, University of Chinese Academy of Sciences, 2008, 2010, 2011,2012
Dissertation-Year Fellowship Nomination, Northwestern University, 2004

Best Poster Award, ECE graduate students poster session, Northwestern University,2003

Research Assistantship, ECE Department, Northwestern University, 1999 - Present
Outstanding Undergraduate Award, Peking University, 1997
XI YUE Scholarship to best undergraduate students, Peking University, 1997
GE (General Electronics) China Scholarship to best undergraduate students, Peking University, 1996
Outstanding Freshmen Award, Peking University, 1995

Publications

   
Papers

  • Book Chapter
  • [1] Xiaojun Li, Yang Gao, Xinyu Ma, Ying Liu, “Performance Evaluation of Fast Fourier Transform Application on Heterogeneous Platforms”, GPU Solutions to Multi-scale Problems in Science and Engineering. David A. Yuen, Long Wang, et al. ed., Springer, 2013. ISBN-10: 3642164048.
  • [2] Jianwei Li, Ying Liu, Wei-keng Liao, Alok Choudhary, “Parallel Data Mining Algorithms for Association Rules and Clustering”, Handbook of Parallel Computing: Models, Algorithms and Applications. Sanguthevar Rajasekaran and John Reif, ed., CRC Press, 2007.
  •  Journal Paper
       

    [1] Ying Liu, Hongyuan Cui, Renliang Zhao, “Fast Acquisition of Spread Spectrum Signals using Multiple GPUs”, IEEE Transactions on Aerospace and Electronic Systems, DOI: 10.1109/TAES.2019.2902695

    [2] 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.

    [3] Jiaxu Leng, Ying Liu, “An enhanced SSD with feature fusion and visual reasoning for object detection”, Neural Computing and Applications, 2018, DOI: 10.1007/s00521-018-3486-1.

    [4] Ying Liu, Guoyu Ou, “Real-Time Vehicular Traffic Violation Detection in Traffic Monitoring Stream”, Journal of Intelligent Transportation Systems,  Vol. 22, (1) 2018.

    [5] 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.

    [6] 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.

    [7] 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.

    [8] 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. 
    [9] 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.
    [10] 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.
    [11] 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.
    [12] 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.
    [13] 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.
    [14] 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.
    [15] 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.
    [16] 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.
    [17] 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.

       

Conferences

[1] Tianlin Zhang, Ying liu, Pei Quan, "Domain Specific Automatic Chinese Multiple-type Question Generation", IEEE International Conference on Bioinformatics and Biomedicine, December 2018, Spain.

[2] 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.

[3] Jiaxu Leng, Ying Liu, Tianlin Zhang, Pei Quan, "Context Learning Network for Object Detection", IEEE International Conference on Data Mining, November 2018, Singapore.

[4] 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.

[5] Ying Liu, Linzhi Wu, “High Performance Geological Disaster Recognition using Deep Learning”, International Academy of Information Technology and Quantitative Management, December 2018, USA.

[6] Pei Quan, Ying Liu, Tianlin Zhang, “A Novel Data Mining Approach Towards Human Resource Performance Appraisal”, ICCS, May 2018, China.

[7] Ying Liu, Tianlin Zhang, Pei Quan, “A Novel Parsing-Based Automatic Domain Terminology Extraction Method”, ICCS, May 2018, China.

[8] Ying Liu, Jinyi Liu, “Recognition and Classification of Rotorcraft by Micro-Doppler Signatures Using Deep Learning”, ICCS, May 2018, China.

[9] Ying Liu, Xiang Chao, “Hybrid Learning Network: A Novel Architecture for Fast Learning”, International Conference on Information Technology and Quantitative Management, December 2017, India.

[10] 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)

[11] 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.

[12] 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. 

[13] 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.

[14] 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.

[15] 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.

[16] 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.
[17] 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.
[18] 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.
[19] Zhongya Wang, Ying Liu, Pengshan Ma, “A CUDA-enabled Parallel Implementation of Collaborative Filtering”, 3rd International Conference on Data Science, Beijing, May 2014.
[20] 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.
[21] 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.
[22] Weizhang Ruan, Ying Liu, Renliang Zhao, “Pattern Discovery in DNS Query Traffic”, International Conference on Information Technology and Quantitative Management, May 2013, China.
[23] 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.
[24] 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. 
[25] 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.
[26] 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. 
[27] 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.
[28] 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.
[29] 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. 
[30] 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.
[31] 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.
[32] 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.
[33] 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.
[34] 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. 
[35] 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.
[36] 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. 
[37] 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. 
[38] 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.
[39] 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.
[40] 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.
[41] 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.
[42] 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.
[43] 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.
[44] 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.
[45] 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.
[46] 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.
[47] 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.
[48] 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.
[49] 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.
[50] 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.

Talks


[1] “GPU Parallel Computing and its Applications in Satellite Communications”, Equipment of Academy, 2018.06.

[2] “GPU Parallel Computing and its Applications in Satellite Communications”, Equipment of Academy, 2017.05.

[3] “CUDA-enabled High Performance Data Mining”, Huawei, 2016.12.

[4] “Ship Detection and Classification on Optical Remote Sensing Images Using Deep Learning”, Big Data Analytics Symposium, Beijing, 2016.11.

[5] “Ship Detection and Classification on Optical Remote Sensing Images Using Deep Learning”, Big Data Industry Summit, Guangzhou, 2016.11.

[6] ”CUDA-Accelerated Acquisition of Spread Spectrum Signal in Satellite Communication”,  GTC China,Beijing, China, 2016.09.

[7] “Deep learning based Remote Sensing Ship Image Classification”, National Scientific Data Conference, 2016.08.

[8] “CUDA-enabled High Performance Data Mining”, Software Institute, CAS, 2016.04.

[9] “CUDA-Accelerated Acquisition of Spread Spectrum Signal in Satellite Communication”, Big Data Analytics Forum, October 2015, Beijing, China.

[10] “CUDA-Accelerated Acquisition of Spread Spectrum Signals in Satellite Communications”, invited, International Workshop on GPU/MIC Solutions to Multiscale Problems in Science and Engineering, August 2015, Lanzhou, China.

[11] “An Efficient Parallel Collaborative Filtering Algorithm on Multi-GPU Platform”,GPU Technology Conference, March 2015, USA.

[12] “An Efficient Parallel Collaborative Filtering Algorithm on Multi-GPU Platform”, invited, Stencil Computing Symposium, August 2014, Beijing, China.

[13] “An Efficient Parallel Collaborative Filtering Algorithm on Multi-GPU Platform”, invited, International Workshop on GPU/MIC Solutions to Multiscale Problems in Science and Engineering, August 2014, Xining, China.

[14] “Big Data Mining”, Summer Workshop, People’s University of China, July 2014.

[15] ”CUDA-Accelerated Satellite Communication Demodulation”, 2014 GPU Technology Conference, March 2014, USA.

[16] “Enabling High Performance Data Intensive and Computation Intensive Applications in Heterogeneous Cloud”, invited, National Scientific Data Conference, February 2014, Beijing, China.

[17] “Enabling High Performance Data Intensive and Computation Intensive Applications in Heterogeneous Cloud”, invited, Chinese-American-German E-Science and Cyberinfrastructure Workshop, September 2013, Chicago, USA.

[18] “CUDA-enabled Multiple Symbol Detection Algorithm in PCM/FM Demodulation”, invited, International Workshop on GPU Solutions to Multiscale Problems in Science and Engineering, July 2013, Changchun, China.

[19] “Sim-Midware: A Middleware to Enable High Performance ESL Simulation in Heterogeneous Cloud”, invited, Agilent Technologies, July 2013.

[20] “Big Data and Big Data Mining”, invited, Computer Network Information Center, Chinese Academy of Sciences, June 2013.

[21] “CUDA-based Parallel Data Mining”, invited, 2010 Chinese-Japanese Women Scientists Symposium, September 2010, Beijing, China.

[22] “GUCAS_CUMiner: A CUDA-based Parallel Data Mining Toolkit”, invited, 2010 International Workshop on GPU Solutions to Multiscale Problems in Science and Engineering, July 2010, Harbin, China.

[23] “Parallel Computing on CUDA-enabled GPUs”, tutorial, Department of China AeroSpace, June 2010, Beijing, China.

[24] “Utility Mining”, invited, National University of Singapore, January 2010, Singapore.

[25] “New Trends in High Performance Computing”, tutorial, Academy of Equipment Command & Technology, June 2009, Beijing, China.

[26] “Source Code Defect Detection”, 2nd ISCAS/USC/UMASS Workshop, June 2009, Beijing, China.

[27] “Parallel Computing on CUDA-enabled GPUs”, invited, China Meteorological Administration, May 2009, Beijing, China.

[28] “High Performance Data Mining on CUDA-enabled GPU”, invited, Symposium on New Trend of High Performance Computing -- GPU, May 2009, Beijing, China.

[29] “High Performance Data Mining and Applications”, invited, National Virtual Observatory Symposium, November 2008, Taiyuan, China.

[30] “High Performance Data Mining in Scientific Applications”, tutorial, National Scientific Database and Information Technique Symposium, October 2008, Guilin, China.

[31] “Data Mining in Auditing Data”, invited, National Audit Office of the People’s Republic of China, September 2007, Beijing, China.


Posters

[1]  Chao Xiang, Ying Liu, “Hybrid Learning Network : A Novel Architecture for Fast Learning”, GPU Technology Conference, March 2018, San Jose, California, USA.

[2] Ying Liu, Hongyuan Cui, “Ship Classification on Optical Remote Sensing Images using Deep Learning”, GPU Technology Conference, May 2017, San Jose, California, USA.

[3] Ying Liu, Hongyuan Cui, “CUDA-Accelerated Acquisition of Spread Spectrum Signals”, GPU Technology Conference, April 2016, San Jose, California, USA.

[4] Yang Gao, Ying Liu, “An Efficient Sparse Matrix Multiplication for Deep Neural Network-based Applications”, International Supercomputing Conference, 2014, Leipzig, Germany.

[5] Guoyu Ou, Ying Liu, Xinyu Ma, Cheng Wang, “Cloud-PECSim: Cloud-enabled Parallel ESL and Communication Simulation”, Agilent Technologies Conference, May 2013.

[6] Liheng Jian, Ying Liu, “CU-Simulator: A Parallel Simulation Platform for Radio Channel inWireless Sensor Networks”, GPU Technology Conference, March 2013, San Jose, California, USA.

[7] Liheng Jian, Ying Liu, Shenshen Liang, “Parallel Data Mining Techniques on Graphics Processing Unit with CUDA", GPU Technology Conference, May 2012, San Jose, California, USA.

[8] Xiaojun Li, Yang Gao, Ying Liu, Xinyu Ma, “Performance Evaluation of Fast Fourier Transform Application on Heterogeneous Platforms using OpenCL”, Agilent Technology Conference, May 2011.

[9] Ying Liu, Jianwei Li, Wei-keng Liao, Alok Choudhary, “Utility Mining and Advanced Association Mining Algorithms”, 2nd Midwest Database Research Symposium, April 2005, Chicago, Illinois, USA.

[10] Ying Liu, Jayaprakash Pisharath, Wei-keng Liao, Gokhan Memiki, Alok Choudhary, “Design, Development, and Characterization of Data Mining Algorithms on High Performance Computers”, 1st Midwest Database Research Symposium, April 2004, Chicago, Illinois, USA.

[11] Jayaprakash Pisharath, Ying Liu, Wei-keng Liao, Alok Choudhary, “High Performance Data Mining”, 1st Midwest Database Research Symposium, April 2004, Chicago, Illinois, USA.

[12] Ying Liu, Steve Chiu, Jianwei Li, Wei-keng Liao, Alok Choudhary, “High-Performance Data Storage, Management, and Mining for Parallel Data-Intensive Computing”, Poster session in the Annual Research Symposium at the Electrical and Computer Engineering Department, Northwestern University, April 2003, Evanston, Illinois, USA. (Best Poster Award)