Publication-Conference paper
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* Xi Liu, Pang-Ning Tan, Lei Liu, Steven J. Simske, Automated Classification of EEG Signals for Predicting Students’ Cognitive State during Learning, 2017 IEEE/ACM International Conference on Web Intelligence (WI'2017) , Aug 23-26, 2017, Leipzig, Germany
* THE STUDENTS LEI ADVISED WHEN PREPARING THE PAPERS | ||
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* Xi Liu, Lei Liu, Pang-Ning Tan, Location based Hierarchical Approach for Activity Recognition with Multi-modal Sensor Data, The 26th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD'2016), Sep 19-23, 2016, Riva del Garda, Italy
* THE STUDENTS LEI ADVISED WHEN PREPARING THE PAPERS | ||
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* Xi Liu, Lei Liu, Steven J. Simske, Jerry Liu, Human Activity Recognition for Healthcare Using Wearable and Visual Sensing Data, The International Workshop on Mining Wearable Data for Healthcare, in conjunction with IEEE International Conference on Healthcare Informatics (ICHI'2016), October 4-7, 2016, Chicago, Illinois, USA
* THE STUDENTS LEI ADVISED WHEN PREPARING THE PAPERS | ||
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Lei Liu, Rares Vernica, Tamir Hassan, Niranjan Damera Venkata, Yang Lei, Jian Fan, Jerry Liu, Steven J. Simske, Shanchan Wu, METIS: A Multi-faceted Hybrid Book Learning Platform, The 16th ACM Symposium on Document Engineering (DocEng 2016), Sep 13 - 16, 2016, Vienna, Austria.
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* Shuting Wang, Lei Liu, Prerequisite Concept Maps Extraction for Automatic Assessment, LILE Workshop in 25th International World Wide Web Conference (WWW'2016), April 11 - 15, 2016, Montreal Canada. (Best Paper Award)
* THE STUDENTS LEI ADVISED WHEN PREPARING THE PAPERS | ||
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Lei Liu, A Sparse Image Recommendation Model Using Content and User Preference Information, 2016 IEEE/WIC/ACM International Conference on Web Intelligence(WI'16), October 13- 16, 2016, Omaha, Nebraska, USA
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Lei Liu, Hierarchical Learning for Large Multi-class Network Classification, The 23rd International Conference on Pattern Recognition (ICPR'2016), Dec 4-8, 2016, Cancun, Mexico
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Lei Liu, Pang-Ning Tan, Xi Liu, MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning, Oral Long Paper, Acceptance rate: 87/484=17.9%, 24th ACM International Conference on Information and Knowledge Management (CIKM'2015) , Oct 19-23, 2015, Melbourne, Australia.
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Lei Liu, Semantic Topic-based Hybrid Learning Resource Recommendation, 24th ACM International Conference on Information and Knowledge Management (CIKM'2015) , Oct 19-23, 2015, Melbourne, Australia.
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Lei Liu, Jerry Liu, Shanchan Wu, Image Discovery and Insertion for Custom Publishing, The 9th ACM Conference on Recommender System (RecSys'2015), Sep 16 - 20, 2015 Vienna, Austria.
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Lei Liu, Georgia Koutrika, Shanchan Wu, LearningAssistant: A Novel Learning Resource Recommendation System, Acceptance rate: 20 %, 31st IEEE International Conference on Data Engineering (ICDE'2015), April 13 - April 17, 2015, Seoul, Korea.
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Lei Liu, Georgia Koutrika, Steve Simske, Generating Reading Orders over Document Collections, Acceptance rate: 20%, 31st IEEE International Conference on Data Engineering (ICDE'2015), April 13 - April 17, 2015, Seoul, Korea.
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Joshua Hailpern, Rares Vernica, Molly Bullock, Udi Chatow, Jian Fan, Georgia Koutrika, Jerry Liu, Lei Liu, Steven Simske, Shanchan Wu, To Print or Not to Print: Hybrid Learning with METIS Learning Platform，Regular Long Paper, ACM SIGCHI Symposium on Engineering Interactive Computing Systems, June 23 - June 26, 2015， Duisburg, Germany.
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Lei Liu, Contextual Topic Model based Image Recommendation System for Education, The 2015 IEEE/WIC/ACM International Conference on Web Intelligence (WI'2015), Dec 6 - 9, 2015, Singapore.
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Lei Liu, Jerry Liu, Shanchan Wu, Semantic-Aware Illustration Insertion for Custom Publishing, Oral presentation paper, Acceptance rate: 40/176 =22.7%, HP Imaging and Color Symposium (HPICS’2015), Feb 3rd – Feb 6th, 2015, San Diego, CA, USA (Best Paper Award)
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Lei Liu, Hierarchical Learning for Large Multi-Class Classification in Network Data, Ph.D Thesis, Michigan State University, USA. 2014
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Lei Liu, Sabyasachi Saha, Ruben Torres, Jianpeng Xu, Pang-Ning Tan, Antonio Nucci, Marco Mellia, Detecting Malicious Clients in ISP Networks Using HTTP Connectivity Graph and Flow Information, Regular Long Paper, Acceptance rate: 40/227=17.6%, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2014), August 17 – August 20, 2014, Beijing, China.
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Prakash M. Comar, Lei Liu, Sabyasachi Saha, Pang-Ning Tan, Antonio Nucci, Missing or Inapplicable: Treatment of Incomplete Continuous-valued Features in Supervised Learning,Regular Long Paper, Acceptance rate: 89/348 = 25.5%, SIAM International Conference on Data Mining (SDM2013), May 2 - May 4, 2013, Austin, Texas, USA.
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Prakash M. Comar, Lei Liu, Sabyasachi Saha, Pang-Ning Tan, Antonio Nucci, Combining Supervised and Unsupervised Learning for Zero-Day Malware Detection, Regular Long Paper, Acceptance rate: 280/1613=17.4%, 32nd Annual IEEE International Conference on Computer Communications (INFOCOM 2013), April 14 - April 19, 2013, Turin, Italy.
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Lei Liu, Prakash M. Comar, Sabyasachi Saha, Pang-Ning Tan, Antonio Nucci, Recursive NMF: Efficient Label Tree Learning for Large Multi-Class Problems, Oral Paper,Acceptance rate: 313/1941=16.1%, 21st International Conference on Pattern Recognition (ICPR 2012), November 11-15, 2012, Tsukuba Science City, Japan.
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Prakash M.Comar, Lei Liu, Sabyasachi Saha, Pang-Ning Tan, Antonio Nucci, Weighted Linear Kernel with Tree Transformed Features For Malware Detection, 21st ACM International Conference on Information and Knowledge Management (CIKM 2012), October 29 - November 2, 2012, Sheraton, Maui Hawaii, USA.
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Lei Liu, Pang-Ning Tan, A Framework for Co-Classification of Articles and Users in Wikipedia, 2010 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies (WI-IAT 2010), Auguest 31-September 3, 2010, Toronto, Canada.
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Lei Liu, Lei Li, Yixin Zhong, Master thesis: Adaptive clustering algorithm based on K-Means. 2009.
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Lei Liu, Lei Li, Yixin Zhong, Using Clustering to Enhance Text Classification, China-Ireland International Conference on Information and Communications Technologies (CIICT 2008), September 26-28, 2008, Beijing, China.
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Lei Liu, Lei Li, Yixin Zhong, Semantic Clustering Algorithm Analysis Based on User Interests, First National How Net (bilingual semantic knowledge base) Conference 2008, Beijing, China (in Chinese)
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Publication-Journal paper
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Chandrakant Patel, Yang Lei, Lei Liu, Rares Vernica, Jian Fan, Brad Short, Jerry Liu, Steven J. Simske, Learning in the 21st Century Cyber-Physical Age, Transaction on Signal and Information Processing, vol. 6, e12, doi:10.1017/ATSIP.2017.10.
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Ying Sun, Lin Wang, Lei Liu, Integrative Decomposition Procedure and Kappa Statistics Set Up ATF2 ion Binding Module in Malignant Pleural Mesothelioma (MPM), Frontiers of Electrical and Electronic Engineering , pp. 381-387 Vol. 3, No. 4. (1 December 2008)
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Technical Reports & Other Publications
Publication-Technical Reports & Others
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Lei Liu, Jerry Liu, Shanchan Wu, Image Discovery and Insertion for Custom Publishing (HPL-2015-78)
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Lei Liu, Pang-Ning Tan, Xi Liu, MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning (HPL-2015-66)
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Lei Liu, Sabyasachi Saha, Ruben Torres, Jianpeng Xu; Pang-Ning Tan; Antonio Nucci; Marco Mellia, Detecting Malicious Clients in ISP Networks Using HTTP Connectivity Graph and Flow Information (HPL-2015-29)
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Lei Liu, Georgia Koutrika, Shanchan Wu, LearningAssistant: A Novel Learning Resource Recommendation System (HPL-2015-15R1)
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Lei Liu, A Novel Sparse Topic Model for Image Recommendation, HP Technical Report, Feb 18th, 2015 (HPL-2015-13)
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Lei Liu, Jerry Liu, Shanchan Wu, SmartIllustrator: A Novel Semantic-Aware Illustration Insertion System for Custom Publishing, HP Technical Report, Feb 18th, 2015 (HPL-2015-12)
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Lei Liu, Georgia Koutrika, Recommending Learning Resources with Selected Passage based on Latent Topics in E-Text, HP Technical Report, Feb 21st, 2014 (HPL-2014-25)
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Prakash M. Comar, Lei Liu, Sabyasachi Saha, Pang-Ning Tan, Antonio Nucci, One-Class SVM with Tree Transformation and Profiling for Zero-Day Malware Detection, Technical Report, MSU-CSE-12-4.
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