CATHERINE HUANG

Publications

​

In the News

1. POEM was feature in the news on MarketWatch of the Wall Street Journal, 2012, entitled as “Autonomics and Intel Ink Collaboration Agreement, Enhancing Accuracy & Personalization for ANSA Power Management Software,”  (http://www.autonomic-software.com/press-releases.php?id=6) .

2. POEM was published in Lexmark annual Corporation Social Responsibility report, 2011

3. Brain Computer Interfaces was feature on the OPB News, 2011, entitle as Brain Waves Power New OHSU Invention for Disabled (http://www.opb.org/news/article/brainwaves-power-new-ohsu-invention-disabled/).

4. Neurotechnology for Intelligence Analysts was featured in the news on IEEE Spectrum Online, 2008,  entitled as “A Brainy approach to Image Sorting,” (http://www.spectrum.ieee.org/biomedical/imaging/a-brainy-approach-to-image-sorting) 

​

Peer Reviewed Journal Papers and Book Chapters    

1. Y. Huang, D. Erdogmus, M. Pavel, S. Mathan, and K. E. Hild, “A framework for visual image search using single-trial brain responses,”  the Journal of Neurocomputing, vol.74 (12-13), pp2041-2051, June 2011.

2. S.  Mathan, K. E. Hild, Y. Huang, and M.  Pavel, “Characterizing the Performance Limits of High Speed Image Triage using Bayesian Search Theory”, book chapter in Lecture Notes in Computer Science, 2011, Vol 6780, pp 95-103, Foundations of Augmented Cognition. Directing the future of Adaptive systems, D.D. Schmorrow, C.M. Fidopiastis(Eds), Springer-Verlag Berlin, Heidelberg, 2011.  

3. S. Mathan, D. Erdogmus, K. E. Hild, Y. Huang, M. Pavel, J. S. P. Macdonald and N. Yeung, “User-Sensitive Rapid Serial Visual Presentation for Complex Image Analysis” in review with IEEE Transactions on Neural Systems & Rehabilitation Eng.

4. Y. Huang, D. Erdogmus, K. E. Hild , M. Pavel,  and S. Mathan, “ Mixed effects models for single-trial ERP detection in noninvasive brain computer interface design,”  book chapter in Recent Advances in Biomedical Signal Processing, J.M. Górriz, Elmar W. Lang, Javier Ramírez (Eds), Bentham Science Publishers, July 2011.

5. Y. Huang, K. Englehart, B. Hudgins, and A.D.C Chan, “A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses,” IEEE Transactions on Biomedical Engineering, vol. 52, no. 11, pp. 1801-1811, Nov. 2005.

​

Peer Reviewed Conference Papers

1. Y.Huang and P Greve, “Large Scale Graph Mining for Web Reputation Inference”, IEEE MLSP 2015, Boston, MA

2. Z. You, R. Raich and Y. Huang, “Mixture modeling and inference for recognition of multiple recurring unknown patterns”, IEEE WCCI 2014.

3. H. Hu, Y. Huang, M. Milenkovic, C. Miller and U. Hanebutte, “Personalized sensing towards building energy efficiency and thermal comfort,” IEEE WCCI 2014.

4. Z. You, R. Raich and Y. Huang, “An inference framework for detection of home appliance activation from voltage measurements”, IEEE ICASSP 2014.

5. F. Briggs, Y.Huang, R. Raich, K. Eftaxia,  Z. Lei, W. Cukierski et. al,  "The 9th annual MLSP competition: new methods for acoustic classification of multiple simultaneous bird species in a noisy environment", IEEE MLSP, Southampton, UK, Sept. 2013.

6. Y.Huang, F. Briggs, R. Raich, K. Eftaxias and Z. Lei, "The ninth annual MLSP competition", IEEE MLSP, Southampton, UK, Sept. 2013.

7. H. Hu, G. Jenks, Y. Huang, M. Milenkovic, U. Hanebutte, “Information and communications technology based solutions in achieving building energy efficiency”, IEEE SusTech 2013, Portland, OR, 2013

8. M. Milenkovic, U. Hanebutte, Y. Huang, D. Prendergast, and H. Pham, “Improving user comfort and office energy efficiency with POEM (personal office energy monitor)” Proceeding of ACM CHI’13, p1455-1460, Paris, France, 2013.

9. M. Milenkovic, T. Dang, U. Hanebutte, Y. Huang, “Platform-integrated sensors and personalized sensing in smart buildings” Proceeding of Sensornets 2013, Barcelona, Spain, 2013.

10. Y. Huang, K. Hild, M. Pavel, S. Mathan and D. Erdogmus, "Neural correlates of visual perception in rapid serial visual presentation paradigms" IEEE MLSP, Santander Spain, 2012.

11. K. Montanez, W. Liu, V. Calhoun, Y. Huang, K. E. Hild II, "The eighth annual MLSP competition: overview", IEEE MLSP, Santander Spain, 2012.

12. K. E. Hild, S.  Mathan, Y. Huang, D.  Erdogmus and M.  Pavel, “Optimal set of EEG electrodes for rapid serial visual presentation”, Proceedings of IEEE EMBC, Buenos Aires, Argentina, Sept., 2010.

13. Y. Huang, D. Erdogmus, M. Pavel, K. E. Hild, S. Mathan,  “A hybrid generative/discriminative method for EEG evoked potential detection,”  Proceedings of IEEE EMBS CNE, Antalya, Turkey, 2009.

14. Y. Huang, D. Erdogmus, M. Pavel, K. E. Hild and S. Mathan,  “Target detection using incremental learning on single-trial evoked response,” Proceedings of IEEE ICASSP, Taipei, Taiwan, 481-484, 2009.

15. T. Lan, Y. Huang and D. Erdogmus, “A comparison of temporal windowing schemes for single-trial ERP detection,” Proceedings of IEEE EMBS CNE, Turkey, 2009.

16. Y. Huang, D. Erdogmus, M. Pavel, S. Mathan, “Mixed effects models for EEG evoked response detection,” Proceedings of IEEE MLSP, pp. 91-96, Cancun, Mexico, 2008.

17. Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “Detecting EEG evoked responses for target image search with mixed effect models,” Proceedings of IEEE EMBC, 4988-4991, Vancouver, Canada, 2008.

18. Y. Huang, D. Erdogmus, Z. Lu, T.K. Leen, “Detecting mild cognitive loss with continuous monitoring of medication adherence,” Proceedings of IEEE ICASSP, Las Vegas, NV, pp. 609-612, 2008.

19. Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “Large-scale image database triage via EEG evoked responses,” Proceedings of IEEE ICASSP, Las Vegas, NV, pp. 429-432, 2008.

20. Z. Lu, T. Leen, Y. Huang, D. Erdogmus, “A reproducing kernel Hilbert space framework for pairwise time series distances,” Proceedings of the ICML, Helsinki, Finland, 624-631,2008.

21. S. Mathan,D. Erdogmus,Y. Huang, M. Pavel,P. Ververs,J. Carciofini,M. Dorneich,S. Whitlow, “Rapid image analysis using neural signals,” Proceedings of the 26th Conf. on Human Factors in Computing System (CHI), 3309-3314, Italy, 2008.

22. Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “A fusion approach for image triage using single-trial ERP detection,” Proceedings of IEEE EMBS CNE, pp. 473-476, Kohala Coast, Hawaii, 2007.

23. Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “Boosting linear logistic regression for single-trial ERP detection in rapid serial visual presentation tasks,” Proceedings of IEEE EMBC, 3369-3372, New York, 2006.

24.  T. Lan, Y. Huang, D. Erdogmus, “A comparison of linear ICA and local linear ICA for mutual information based feature ranking,” Proceedings of the Intl. Conf. ICABSS , Charleston, SC, pp. 823-830, 2006.

25. T. Lan, D. Erdogmus, U. Ozertem and Y. Huang, “Estimating mutual information using Gaussian mixture model for feature ranking and selection,” Proceedings of IEEE WCCI, Vancouver, Canada, pp5034-5039, 2006.

26. S. Mathan, P. Ververs, M. Dorneich, S. Whitlow, J. Carciofini, D. Erdogmus, M. Pavel, C. Huang, T. Lan, A. Adami, “Neurotechnology for image analysis: searching for needles in haystacks efficiently,” Proceedings of Augmented Cognition Intl. Conf. , San Francisco, CA, 2006.

27. Y. Huang, K. Englehart, B. Hudgins, and A.D.C Chan, “Optimized Gaussian mixture models for upper limb motion classification,” Proceedings of the Intl. IEEE EMBC, San Francisco, CA, pp72-75, 2004.

28. Y. Huang, K. Englehart, B. Hudgins, and A.D.C Chan, “Robust upper limb motion classification using Gaussian mixture models,” Proceedings of the 28th Conf. of the Canadian Medical and Biological Engineering Society , Quebec, Canada, pp. 149-152, 2004.

 

Invited Talks, Abstracts, Demos and Posters

1. U.R. Hanebutte, M. Milenkovic,  Y. Huang, S. Parthasarathy, T. Wei, 2013,” Improving User Comfort and Office Energy Efficiency with POEM (Personal Office Energy Monitor), Intel SW Professional Conference, Folsom CA 2013

2. M. Milenkovic, U.R. Hanebutte, Y. Huang, “Personal Office energy Monitor”, Intel Developer Forum, Beijing China, 2013

3. M. Milenkovic and Y. Huang, 2012, “Personal Office energy Monitor (POEM)” Intel Lab Country Fair, Hillsboro, OR, 2012

4. M. Milenkovic, U.R. Hanebutte, Y. Huang , Personal Office energy Monitor, Research @ Intel, San Francisco, CA, 2012

5. M. Milenkovic, P. Gandhi, U.R. Hanebutte and Y. Huang, “SUMvE, a software agent to estimate platform power and energy” Intel Power Summit, Santa Clara, CA, 2011.

6. M. Milenkovic, U.R. Hanebutte, T. Dang, and Y. Huang, “Smart-Building Energy Efficiency: Reimagined IT”, Intel Lab Country Fair, Hillsboro, OR, 2011.

7. Y. Huang, “Event-related Potentials in Electroencephalography: Characteristics and Single-trial Detection for Rapid Object Search,” MGH Harvard Medical School, Boston, MA 2010

8. Y. Huang, “Brain Computer Interfaces for Rapid Object Search,” Stanford Medical School, Stanford, SC 2010

9. Y. Huang, D. Erdogmus, M. Pavel, K. E. Hild and S. Mathan, “A hybrid generative/discriminative method for single-trial evoked potential detection,” Women in Machine Learning Workshop, Vancouver, BC, Canada, 2010.

10. M. Pavel, Y. Huang, K. E. Hild, S. Mathan, and D. Erdogmus, “ The dynamics of visual detection processes in RSVP paradigms,” the Society of Neuroscience (SFN), Chicago, IL, 2009.

11. Y. Huang, K. Englehart, B. Hudgins, and A.D.C Chan, “A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses,” the XVth Congress of Intl Electrophysiology & Kinesiology Society, Boston, MA, pp67, 2004.

12. Y. Huang, K. Englehart, B. Hudgins, and A.D.C Chan, “Classification of myoelectric signals using Gaussian mixture models,” the Mathematics of Information Technology and Complex Systems  5th Annual Conf, Halifax, NS, Canada, p31, 2004.