Publications

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Yang, J., Mahoney M. W., Saunders M. A., & Sun Y. (2016).  Feature-distributed sparse regression: a screen-and-clean approach. Proceedings of the 2016 NIPS Conference.
Yang, J., Meng X., & Mahoney M. W. (2015).  Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments.
Yang, H. Hua, van Vuuren S., & Hermansky H. (1999).  Relevancy of Time Frequency Features for Phonetic Classification Measured by Mutual Information. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1999).
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, J., Sindhwani V., Avron H., & Mahoney M. W. (2014).  Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels.
Yang, H. Hua, & Moody J. (1999).  Feature Selection Based on Joint Mutual Information.
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.
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.
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.
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. (2009).  Fast Concurrent Object Localization and Recognition. 280-287.
Yeh, T., Lee J. J., & Darrell T. (2008).  Photo-Based Question Answering. 389-398.
Yeh, T., & Darrell T. (2008).  Dynamic Visual Category Learning.
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, D., Hinton G., Morgan N., Chien J-T., & Sagayama S. (2012).  Introduction to the Special Section on Deep Learning for Speech and Language Processing. IEEE Transactions on Audio. 20(1), 4-6.
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.

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