REPORTS
- Report by HP - "HP Labs team wins first prize at international machine learning competition", Oct 11th, 2016
- Report by HP - "HP Labs research team wins best paper award at LILE 2016", May 11th, 2016
- Interview by HP - "Lei Liu is dreaming big at HP Labs" with 5157 views up to Jan 28th, 2016
- Works on personalized learning has been reported - "Personalized Learning – providing appropriate reading content to each individual" with 7823 views up to Jan 28th, 2016
- Lei is featured at HP Award and Honor Page, under the category of "Professional Societies – Awards", April 2016
- Lei was interviewed and reported in first issue of HP Innovation Journal, Dec 2015
- Lei is profiled at HP Career Page
- Report on AFEL
- Lei's work on Image Discovery and Insertion for Custom Publishing has been selected as the featured technical report at HP Labs
- Lei Liu combines data mining and machine learning to solve real world problems
- Lei's works have been highlighted as representative News on HP Labs homepage
- Reports about Lei on Google+, Twitter
TALKS & ACTIVITES
- "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
- ”Big Sensor Data Analytics for HealthCare”， Invited Talk at The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'16) , Aug 16th - 20th, 2016, Orlando, USA
- "Prerequisite Concept Maps Extraction for Automated Assessment", Oral Presentation at LILE in 25th International World Wide Web Conference (WWW'2016), April 11th - April 15th, 2016, Montreal, Canada
- "Mining Spectral Sensing Data for Diagnostic Solutions", 2016 MicroTech and IOT Summit, June 7th - 8th, 2016, Corvallis, USA
- "Machine Learning for Activity Recognition with Multimodal Sensor Data", 2016 MicroTech and IOT Summit, June 7th - 8th, 2016, Corvallis, USA
- "Automated Classification of EEG Signals for Predicting Students' Cognitive States during Learning", 2016 MicroTech and IOT Summit, June 7th - 8th, 2016, Corvallis, USA
- MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning", Oral Presentation at 24th ACM International Conference on Information and Knowledge Management (CIKM'2015), Oct 19th - Oct 23rd, 2016, Melbourne, Australia
- "Semantic Topic-based Hybrid Learning Resource Recommendation", Oral Presentation at 24th ACM International Conference on Information and Knowledge Management (CIKM'2015), Oct 19th - Oct 23rd, 2016, Melbourne, Australia
- "Image Discovery and Insertion for Custom Publishing", The 9th ACM Conference on Recommender System ( RecSys 2015 ), Sep 16 - 20, 2015 Vienna, Austria
- "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.
- "LearningAssistant: A Novel Learning Resource Recommendation System", Oral Presentation and System Demo at 31st IEEE International Conference on Data Engineering (ICDE'2015), April 13th - April 17th, 2015, Seoul, Korea
- "Generating Reading Orders over Document Collections", Oral Presentation and Demo at 31st IEEE International Conference on Data Engineering (ICDE'2015), April 13th - April 17th, 2015, Seoul, Korea
- "Semantic-Aware Illustration Insertion for Custom Publishing", Oral Presentation at HP Imaging and Color Symposium (HPICS’2015), Feb 3rd – Feb 6th, 2015, San Diego, CA, USA
- "Combining Link and Flow Information for Hidden Malicious Clients Detection in HTTP Flows", Oral presentation at International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2014) , Aug 17th - Aug 20th, 2014, Beijing, China
- Represent Hewlett Packard Company to participant the Meeting and exploring the values of Grantees supported by Hewlett Foundation, Hewlett OER Grantees Meeting 2014, 04/2014, Sausalito, CA, USA
- Generating Reading Sequences over Document Collection, Hewlett Packard Laboratories Poster and Demo Fair, 04/2014, Palo Alto, CA, USA
- Generating Interesting Publications based on Trends and Geolocation, Hewlett Packard Laboratories Poster and Demo Fair, 04/2014, Palo Alto, CA, USA
- Generating Reading Sequences over Document Collection, Tech Con’14, Hewlett Packard Company, 03/2014, Miami, FL, USA
- "Recursive NMF: Efficient Label Tree Learning for Large Multi-Class Problems", Poster presentation at International Year of Statistics 2013 Statistics in Applications Forum, Oct 1st, East Lansing, MI, USA.
- "Generating Learning Paths From Online Content", presentation at 2013 Intern talk at HP Labs, Palo Alto, CA, USA.
- "Missing or Inapplicable: Treatment of Incomplete Continuous-valued Features in Supervised Learning", Oral presentation at 2013 SIAM International Conference on Data Mining (SDM2013), May 2 - May 4, 2013, Austin, Texas, USA. [slides]
- "Combining Supervised and Unsupervised Learning for Zero-Day Malware Detection", Oral presentation at 32nd International Conference on Computer Communications (INFOCOM'2013), April 14th - April 19th, 2013, Turin, Italy. [slides]
- "Recursive NMF: Efficient Label Tree Learning for Large Multi-Class Problems", Oral presentation at 21st International Conference on Pattern Recognition (ICPR 2012) , Nov 11th - Nov 15th, 2012, Tsukuba Science City, Japan. [slides][flash]
- "Detecting Malicious ISP Clients Using HTTP Connectivity and Flow Information", Poster presentation at 2012 Engineering Graduate Research Symposium, Nov 9th, East Lansing, MI, USA.
- "Recursive NMF: Efficient Label Tree Learning for Large Multi-Class Problems", Poster presentation at 2012 Engineering Graduate Research Symposium, Nov 9th, East Lansing, MI, USA. [poster]
- "Weighted Linear Kernel with tree transformed features for malware detection", Poster presentation at 21st ACM International Conference on Information and Knowledge Management (CIKM 2012) , Oct 29th - Nov 3rd, Maui, Hawaii, USA. [poster]
- "Detecting Malicious Nodes Using Network Connectivity Graph", presentation at 2012 Internship talk series of Narus, Inc. (a wholly owned subsidiary of The Boeing Company), Sunnyvale, CA, USA.
- "Learning to predict a Million Classes", presentation at 2011 computer science and engineering poster workshop, Oct 21st, East Lansing, MI, USA. [slides]
- "CyberEagle: Automated Discovery, Attribution, Analysis and Risk Assessment of Information Security Threats", presentation at 2011 summer company meeting of Narus, Inc. (a wholly owned subsidiary of The Boeing Company), Sunnyvale, CA, USA. [slides]
- "A Framework for Co-Classification of Articles and Users in Wikipedia", Paper presentation at 2010 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies (WI-IAT 2010), Auguest 31-September 3, 2010, Toronto, Canada.[PDF][slides]
