Lei  Liu
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October 2017
Congratulations! Dr. Lei Liu has been elevated to IEEE Senior Grade Members. IEEE (Institute of Electrical and Electronic Engineers) is the world largest technical professional organization for the advancement of technology. Senior member IEEE requires at least 10 years professional maturity to designated fields and demonstrated 5 years of significant performance. Lei was elevated because of achievements and impacts to the field of Machine Learning and Artificial Intelligence.

August 2017
Lei's research on “Learning in the 21st Century Cyber-Physical Age” has been accepted by Transaction on Signal and Information Processing

June 2017
Lei's research on “Automated Classification of EEG Signals for Predicting Students’ Cognitive State during Learning” has been accepted as LONG oral presentation paper by 2017 IEEE/ACM International Conference on Web Intelligence (WI'2017) , which will be held in Leipzig, Germany, Aug 23-26, 2017

May 2017
Lei joined Apple as a principe scientist/architect, to continue his machine learning career exploration!

February 2017
Lei was invited to be the Program Committee of ACM CIKM'2017

February 2017
Lei was invited to be the Program Committee of IEEE/ACM ASONAM'2017

February 2017
Lei was invited to be the Program Committee of ACM WI'2017

January 2017
After 3+ years services in HP Labs, Lei moved to Huawei 2012 Lab at Santa Clara, CA. His work at Huawei will focus on leading machine learning efforts in data management and could services

November 2016
Lei was invited to be the Senior Program Committee of IEEE International Conference on Healthcare Informatics 2017 (ICHI 2017)

October 2016
Report by HP - "HP Labs team wins first prize at international machine learning competition” Oct 11, 2016!

September 2016
First Place Winner (Best Machine Learning System Award) in Data Challenge of The 26th Eurepean Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD'2016), Riva del Garda, Italy, Sep 19-23, 2016!

September 2016
Lei was invited to be the Session Chair of CIKM'2016

September 2016
Lei was invited to be the Session Chair of WI'2016

August 2016
Lei was invited to provide a speech in special Session “Big Sensor Data Analytics for HealthCare” of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida, August 17 – 20, 2016

August 2016
Lei was invited to give a keynote speech in 2016 Silicon Valley - China Future Forum, his speech is "Artificial Intelligence In Internet of Things", Santa Clara, CA, USA

July 2016
Lei's research on “Location based Hierarchical Approach for Activity Recognition with Multi-modal Sensor Data” has been accepted by The 26th Eurepean Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD'2016), which will be held in Riva del Garda, Italy, Sep 19-23, 2016!

July 2016
Lei's research on “Hierarchical Learning for Large Multi-class Network Classification” has been accepted as oral presentation paper by The 23rd International Conference on Pattern Recognition (ICPR'2016), which will be held in Cancun, Mexico, Dec 4-8, 2016!

July 2016
Lei's research on “Human Daily Activity Recognition for Healthcare Using Wearable and Visual Sensing Data” has been accepted by The International Workshop on Mining Wearable Data for Healthcare, in conjunction with IEEE International Conference on Healthcare Informatics (ICHI'2016), which will be held in Chicago, Illinois, USA, October 4-7, 2016!

June 2016
Lei's research on “METIS: A Multi-faceted Hybrid Book Learning Platform” has been accepted as an oral research paper by The 16th ACM Symposium on Document Engineering (DocEng'16), which will be held in Vienna, Austria, Sept 13- 16, 2016!

June 2016
Lei's research on “A Sparse Image Recommendation Model Using Content and User Preference Information” has been accepted as a regular long research paper in 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI’16), which will be held in Omaha, Nebraska October 13- 16, 2016!

May 2016
Special Session Proposal of “Big Sensor Data Analytics for HealthCare” has been accepted by 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida, August 17 – 20, 2016

May 2016
Lei was invited to serve as reviewer for Science China Information Science Journal, Springer

May 2016
MWDHealth 2016 First CALL FOR PAPERS!

May 2016
Lei is the Chair of International Workshop On Mining of Wearable Data for Healthcare (MWDHealth 2016)! , in conjunction with IEEE International Conference on Healthcare Informatics (ICHI 2016), Chicago, Illinois, USA, October 4 - 7, 2016

May 2016
Lei was invited as Reviewer for Journals including, IEEE Transaction on Knowledge and Data Engineering (TKDE), ACM Transaction on Intelligent Systems & Technology (TIST), World Wide Web Journal (WWWJ) and Journal of Neurocomputing!

May 2016
Lei was reported by HP Company

April 2016
Lei was invited to Program Committee of CIKM'2016

April 2016
Lei got Best Paper Award of LILE in International World Wide Web Conference(WWW'2016)!

April 2016
Workshop Proposal of “Mining Wearable Data for HealthCare” has been accepted by ICHI2016 - IEEE International Conference on Healthcare Informatics, Chicago, Illinois, USA, October 4-7, 2016

March 2016
Lei was promoted to Senior Research Scientist (Expert Level) at HP Labs!


Feb 2016
Lei has a paper accepted by WWW'2016, which will be held in Montreal April 11 - 15, 2016

Jan 2016
Lei received interview from HP Company!

Jan 2016
Lei is profiled at HP Career Website!

Jan 2016
Lei was invited as the Program Committee for ACM DocEng'2016

Jan 2016
Lei was invited as the Program Committee for IEEE IRI'2016

Jan 2016
Lei has one patent around writing content analysis filed with USPTO

December 2015
Lei's research on Personalized Learning has been reported at HP Labs website!

December 2015
Lei has 11 patents filed with United States Patent and Trademark Office (USPTO) in 2015!

December 2015
Lei was invited to server as the Session Chair of IEEE/WIC/ACM Web Intelligence Conference 2015 (WI'2015), Singapore

December 2015
Lei was invited to server as the PC Member of UIC'2016

December 2015
Lei filed one patent with USPTO

December 2015
Lei was invited to server as the PC Member of INTELLI'2016

November 2015
Lei's work on Image Discovery and Insertion for Custom Publishing has been recognized as the Featured Technical Report at HP Labs

October 2015
Lei gave two talks at CIKM'2015 Melbourne Australia

October 2015
Lei filed one patent with USPTO in October

August 2015
Lei filed two patents with USPTO in August

July 2015
Lei has a paper accepted by 9th ACM Recommender Systems(RecSys'2015), Vienna, Austria

July 2015
Lei has a paper accepted by IEEE/WIC/ACM Web Intelligence Conference 2015 (WI'2015), Singapore

July 2015
Lei filed another patent about Recommendation of Review Content for Efficient Learning with USPTO

July 2015
Lei has second paper accepted by 24th ACM International Conference on Information and Knowledge Management (CIKM'2015), Melbourne, Australia.

July 2015
Lei was invited to Program Committee of WWW'2016

July 2015
Lei has a paper accepted as oral Long paper (accept rate 87/484=17.9%) by 24th ACM International Conference on Information and Knowledge Management (CIKM'2015), Melbourne, Australia.

June 2015
Lei has a paper published in ACM SIGCHI EICS'2015, Duisburg, Germany.

April 2015
Lei gave a talk at ICDE'2015, Seoul, Korea

April 2015
Lei has a patent about active content selection filed with USPTO

March 2015
Lei has another patent about image recommendation based on text topic and explanatory value filed with USPTO

Feb 2015
Lei got the Best Paper Award at HP Imaging and Color Symposium (HPICS’2015), Feb 3rd – Feb 6th, 2015, San Diego, CA, USA (the only best paper selected from 176 candidates)

Jan 2015
Lei has 12 patents filed with United States Patent and Trademark Office (USPTO) in his first year at HP Labs!

Dec 2014
Lei has one paper accepted at HPICS'2015 (acceptance rate: 40/176=22.7%), Feb 3 - Feb 6, 2015, San Diego, CA

Oct 2014
Lei has two papers accepted (acceptance rate: 20%)at IEEE 31st International Conference on Data Engineering (ICDE'2015), April 13th - April 17th, 2015, Seoul Korea

June 2014
Lei has one paper accepted (acceptance rate: 40/227=17.6%)at IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'2014), August 17th - August 20th, 2014, Beijing, China

April 2014
Lei has another patent granted by USPTO, with patent number US 8813236 B1

January 2014
Lei starts his work as a full time researcher at HP Labs Palo Alto

October 2013
Lei gets the Best student poster award for the Statistics in Applications Forum at International Year of Statistics'2013

October 2013
Lei gets an Award from Graduate School of Michigan State University

August 2013
Lei will work at HP Lab's worldwide headquarters at Palo Alto, California as a researcher upon graduation

August 2013
Lei has been selected for PhD Dissertation Completion Fellowship by Office of the Dean, The Graduate School,Michigan State University

July 2013
Two US. patents on Education recommendation system have been submitted

July 2013
One US patent for network threats identification has been issued, Patent NO. US8418249 B1

May 2013
Lei successfully defend his PhD comprehensive examination

May 2013
We have one paper presentation at SDM'2013, Austin, Texas, USA.

April 2013
Lei will go to HP Lab's worldwide headquarters at Palo Alto, California this summer as a research associate (Intern)

April 2013
We have one paper presentation at INFOCOM'2013, Turin, Italy

January 2013
One patent application on malicious endpoints detection in cyberspace has been submitted

December 2012
We have one paper accepted as full paper(acc rate: 25.5%) at SDM'2013

November 2012
We have one paper accepted as full paper(acc rate:17.4%) at INFOCOM'2013.

November 2012
Lei received Best Paper award at Second Annual Engineering Graduate Research Symposium, Michigan State University.

November 2012
Lei gave paper presentation about Large Multi-class Classification at ICPR'2012, Tsukuba Science City,Japan.

November 2012
Lei received Graduate Study Fellowship from College of Engineering, Michigan State University.

November 2012
Lei has two posters at Second Annual Engineering Graduate Research Symposium, East Lansing, MI.

August 2012
We have one paper accepted at CIKM'2012.

June 2012
We have one paper accepted as oral presentation paper(acc rate: 16.1%) at ICPR'2012.

May 2012
Lei worked as a summer research intern at Narus,Inc (a wholly owned subsidiary of The Boeing Company). on designing data mining algorithms to analyze network traffic.

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
    • Research got Best Paper Award
    • Reading Content Personalization
    • Lei's work at HP Labs

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]
  • About me
    • Service
    • Publications
    • patents
    • Awards
  • Press
  • Resource
  • Contact
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  • 中文