Pengfei Lu

The Graduate Center, The City University of New York (CUNY)

I am a Ph.D. student in Computer Science, the Graduate Center, The City University of New York (CUNY). I have been working at Linguistic and Assistive Technologies Laboratory (LATLab) in the Computer Science Department at Queens College of The City University of New York since 2008. My research interest is assistive technology for people with disabilities, motion-capture data analysis, the computational linguistics of sign languages, human computer interaction, and natural language processing. My advisor is Prof. Matt Huenerfauth.

[My Google Scholar Citation Page]

I am graduating in 2013. I am currently looking for a full-time job as a research scientist, research engineer or software engineer in industry.

Peer-Refereed Journal Articles

[3] Matt Huenerfauth, Pengfei Lu. 2012. “Effect of Spatial Reference and Verb Inflection on the Usability of American Sign Language Animations.” Universal Access in the Information Society. Berlin/Heidelberg: Springer.
[Available on Springerlink.] [Adobe PDF]

[2] Pengfei Lu, Matt Huenerfauth. 2011. “Data-Driven Synthesis of Spatially Inflected Verbs for American Sign Language Animation.” ACM Transactions on Accessible Computing (TACCESS). New York: ACM Press. [Available on ACM Digital Library.]

[1] Matt Huenerfauth, Pengfei Lu. 2010. “Accurate and Accessible Motion-Capture Glove Calibration for Sign Language Data Collection.” ACM Transactions on Accessible Computing (TACCESS). New York: ACM Press.
[Available on ACM Digital Library.] [Adobe PDF]

Peer-Refereed Papers, published in Conference Proceedings

[13] Hernisa Kacorri, Pengfei Lu, Matt Huenerfauth. 2013. “Evaluating Facial Expressions in American Sign Language Animations for Accessible Online Information.” In Proceedings of the 7th International Conference on Universal Access in Human-Computer Interaction (UAHCI'13), Las Vegas, Nevada, USA. [To appear on Springerlink]

[12] Pengfei Lu, Hernisa Kacorri. “Effect of Presenting Video as a Baseline During an American Sign Language Animation User Study.” In Proceedings of The 14th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2012), Boulder, Colorado. [Available on ACM Digital Library.]

[11] Pengfei Lu, Matt Huenerfauth. 2012. “Learning a Vector-Based Model of American Sign Language Inflecting Verbs from Motion-Capture Data.” Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies (SLPAT), Human Language Technologies: The 13th Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL 2012), Montréal, Québec, Canada. [Available on the ACL Anthology.] [Adobe PDF]

[10] Pengfei Lu, Matt Huenerfauth. 2012. “CUNY American Sign Language Motion-Capture Corpus: First Release.” Proceedings of the 5th Workshop on the Representation and Processing of Sign Languages: Interactions between Corpus and Lexicon, The 8th International Conference on Language Resources and Evaluation (LREC 2012), Istanbul, Turkey. [Adobe PDF]

[9] Pengfei Lu, Matt Huenerfauth. 2011. "Synthesizing American Sign Language Spatially Inflected Verbs from Motion-Capture Data." Second International Workshop on Sign Language Translation and Avatar Technology (SLTAT), in conjunction with ASSETS 2011, Dundee, Scotland. [Adobe PDF]

[8] Matt Huenerfauth, Pengfei Lu, and Andrew Rosenberg. 2011. “Evaluating Importance of Facial Expression in American Sign Language and Pidgin Signed English Animations.” In Proceedings of The 13th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2011), Dundee, Scotland. [Available on ACM Digital Library.]

[7] Pengfei Lu, Matt Huenerfauth. 2011. “Collecting an American Sign Language Corpus through the Participation of Native Signers.” International Conference on Universal Access in Human-Computer Interaction(UAHCI). Orlando, Florida, USA. July 2011. In C. Stephanidis (Ed.), Universal Access. Berlin/Heidelberg: Springer-Verlag. [Available on Springerlink.][Adobe PDF]

[6] Matt Huenerfauth, Pengfei Lu. 2010. “Modeling and Synthesizing Spatially Inflected Verbs for American Sign Language Animations.” In Proceedings of The 12th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2010), Orlando, Florida, USA. New York: ACM Press.
[Available on ACM Digital Library.] [Adobe PDF]

[5] Pengfei Lu, Matt Huenerfauth. 2010. “Collecting a Motion-Capture Corpus of American Sign Language for Data-Driven Generation Research.” Proceedings of the First Workshop on Speech and Language Processing for Assistive Technologies (SLPAT), Human Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL 2010), Los Angeles, CA, USA. East Stroudsburg, PA: Association for Computational Linguistics.
[Available on the ACL Anthology.] [Adobe PDF]

[4] Matt Huenerfauth, Pengfei Lu. 2010. “Eliciting Spatial Reference for a Motion-Capture Corpus of American Sign Language Discourse.” Proceedings of the Fourth Workshop on the Representation and Processing of Signed Languages: Corpora and Sign Language Technologies, The 7th International Conference on Language Resources and Evaluation (LREC 2010), Valetta, Malta.
[Available on the ACL Anthology.] [Adobe PDF]

[3] Pengfei Lu. 2010. “Modeling Animations of American Sign Language Verbs through Motion-Capture of Native ASL Signers.” ACM SIGACCESS Accessibility and Computing. New York: ACM Press. Issue 96 (January 2010). pp. 41-45.
[Available on ACM Digital Library.] [Adobe PDF]

[2] Pengfei Lu, Matt Huenerfauth. 2009. “Accessible Motion-Capture Glove Calibration Protocol for Recording Sign Language Data from Deaf Subjects.” The 11th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2009), Pittsburgh, PA, USA.
[Available on ACM Digital Library.] [Adobe PDF]

[1] Li Luo, Pengfei Lu and Zeng-Fu Wang. 2008. “A Real-time Accompaniment System Based on Sung Voice Recognition.” The 19th International Conference on Pattern Recognition (ICPR 2008), Tampa, FL, USA.
[Available on IEEE Xplore Digital Library.] [Adobe PDF]

Education

The City University of New York (CUNY), Graduate Center, New York, NY, USA
Doctor of Philosophy (Ph.D.) Student in Computer Science, August 2008 to present

University of Science and Technology of China (USTC), Department of Automation, Hefei, Anhui, China
Master of Science (M. S.) in Pattern Recognition and Intelligent Systems, July 2008
Master’s Thesis: Designing a MIDI-Driven Real-Time Virtual Dancer Based on Emotion Annotation of Music.

University of Science and Technology of China (USTC), Department of Automation, Hefei, Anhui, China
Bachelor of Engineering (B. E.) in Automation, July 2005
Bachelor’s Thesis: A Training Program Based on the Visual Feedback of Speech Features for People who are Tone-Deaf.

Thesis Work

Thesis Proposal
Data-Driven Synthesis of Animations of Spatially Inflected American Sign Language Verbs Using Human Data.
CUNY Graduate Center, February, 2013

Technical Report (Second Exam)
Data-Driven Sign Language Animation Generation: A Survey. [Adobe PDF]
CUNY Graduate Center, November, 2011

Contact Information

Email: pengfei.lu at qc dot cuny dot edu

Mailing Address: Doctoral Program in Computer Science, 365, Fifth Ave, New York, NY, USA 10016