Publications

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Yang, W-Y., Novembre J., Eskin E., & Halperin E. (2012).  A Model-Based Approach for Analysis of Spatial Structure in Genetic Data. Nature Genetics. 44, 725-731.
Yang, W-Y., Novembre J., Eskin E., & Halperin E. (2012).  A Model-Based Approach for Analysis of Spatial Structure in Genetic Data.
Yang, H. Hua, & Moody J. (2000).  Data Visualization and Feature Selection: New Algorithms for Nongaussian Data. 12,
Yang, J., Sindhwani V., Avron H., & Mahoney M. W. (2014).  Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels.
Yang, J., Chow Y-L., Re C., & Mahoney M. W. (2015).  Weighted SGD for ℓp Regression with Randomized Preconditioning. Proceedings of the 27th Annual SODA Conference. 558-569.
Yang, H. Hua, Sharma S., van Vuuren S., & Hermansky H. (2000).  Relevance of Time-Frequency Features for Phonetic and SpeakerChannel Classification. Speech Communication. 1(31), 35-50.
Yang, J., Rübel O., Prabhat, Mahoney M. W., & Bowen B. P. (2015).  Identifying Important Ions and Positions in Mass Spectrometry Imaging Data Using CUR Matrix Decompositions. Analytical Chemistry. 87(9), 4658-4666.
Yang, F., Tur G., & Shriberg E. (2008).  Exploiting Dialog Act Tagging and Prosodic Information for Action Item Identification. 4941-4944.
Yang, W-Y., Novembre J., Eskin E., & Halperin E. (2012).  A Model-Based Approach for Analysis of Spatial Structure in Genetic Data. Nature Genetics. 44, 725-731.
Yao, Z.., Gholami A.., Lei Q.., Keutzer K.., & Mahoney M.. W. (2018).  Hessian-based Analysis of Large Batch Training and Robustness to Adversaries. Proceedings of the 2018 NeurIPS Conference. 4954-4964.
Yao, F., Demers A. J., & Shenker S. (1995).  A Scheduling Model for Reduced CPU Energy. Proceedings of the 36th IEEE Annual Symposium on Foundations of Computer Science (FOCS). 374-382.
Yao, Z.., Gholami A.., Xu P.., Keutzer K.., & Mahoney M.. W. (2019).  Trust Region Based Adversarial Attack on Neural Networks. Proceedings of the 32nd CVPR Conference. 11350-11359.
Ye, Z., Choi J., & Friedland G. (2019).  Supervised Deep Hashing for Highly Efficient Cover Song Detection. Proceedings of the 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).
Ye, Z., Choi J., & Friedland G. (2019).  Supervised Deep Hashing for Highly Efficient Cover Song Detection. Proceedings of the 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).
Yegneswaran, V., Barford P., & Paxson V. (2005).  Using Honeynets for Internet Situational Awareness. Proceedings of the Fourth Workshop on Hot Topics in Networks (Hotnets-IV).
Yeh, T., Lee J. J., & Darrell T. (2008).  Photo-Based Question Answering. 389-398.
Yeh, T., & Darrell T. (2008).  Dynamic Visual Category Learning.
Yeh, T., Lee J. J., & Darrell T. (2009).  Fast Concurrent Object Localization and Recognition. 280-287.
Yeom, S., & Tschantz M. Carl (2018).  Discriminative but Not Discriminatory: A Comparison of Fairness Definitions under Different Worldviews. Proceedings of the 2018 Workshop on Privacy in the Electronic Society. 33-41.
Yiin-Chang, S., & Morgan N. (2016).  Robust CNN - based Speech Recognition With Gabor Filter Kernels. Proceedings of Interspeech 2016.
Yosef, N.., Gramm J., Wang Q.-F.., Noble W.. S., Karp R. M., & Sharan R. (2010).  Prediction of Phenotype Information from Genotype Data. Communications in Information and Systems. 10(2), 99-114.
Yoshida, M., Ikeda C., & Suzuki H. (1994).  An Evaluation of Burst-level Bandwidth Reservation Methods in WANEnvironments.
Yu, H., Breslau L., & Shenker S. (1999).  A Scalable Web Cache Consistency Architecture. Proceedings of the ACM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication (SIGCOMM '99). 163-174.
Yu, S. X., & Lisin D. (2013).  Change Blindness Reveals Distinctive Featural Processing in Size, Color, and Orientation.
Yu, S. X., & Zipser K. (2016).  A Deep Neural Net Trained for Person Categorization Develops Both Detailed Local Features and Broad Contexual Specificities. Poster at Vision Sciences Society Annual Meeting.

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