Publications

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Yuan, A., Luther K., Krause M., Vennix S. Isabel, Dow S. P., & Hartmann B. (2016).  Almost an expert: The effects of rubrics and expertise on perceived value of crowdsourced design critiques. Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing. 1005-1017.
Yu, S. X. (2012).  Angular Embedding: A Robust Quadratic Criterion. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. 34(1), 158-173.
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.
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, S. X., & Lisin D. (2013).  Change Blindness Reveals Distinctive Featural Processing in Size, Color, and Orientation.
Yu, H., Breslau L., & Shenker S. J. (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.
Yoshida, M., Ikeda C., & Suzuki H. (1994).  An Evaluation of Burst-level Bandwidth Reservation Methods in WANEnvironments.
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.
Yiin-Chang, S., & Morgan N. (2016).  Robust CNN - based Speech Recognition With Gabor Filter Kernels. Proceedings of Interspeech 2016.
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.
Yeom, S., & Tschantz M. (2021).  Avoiding Disparity Amplification under Different Worldviews. FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. 273-283.
Yeh, C-H., Yu S. X., & Lin M. C. (2021).  Meibography Phenotyping and Classification From Unsupervised Discriminative Feature Learning. Translational Vision Science and Technology. 10(4), 
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.
Yeh, T., Lee J. J., & Darrell T. (2008).  Photo-Based Question Answering. 389-398.
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).
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).
Yao, Z.., Gholami A.., Lei Q.., Keutzer K.., & Mahoney M. (2018).  Hessian-based Analysis of Large Batch Training and Robustness to Adversaries. Proceedings of the 2018 NeurIPS Conference. 4954-4964.
Yao, Z.., Gholami A.., Xu P.., Keutzer K.., & Mahoney M. (2019).  Trust Region Based Adversarial Attack on Neural Networks. Proceedings of the 32nd CVPR Conference. 11350-11359.
Yao, F., Demers A. J., & Shenker S. J. (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., Dong Z., Zheng Z., Gholami A., Yu J., Tan E., et al. (2021).  HAWQV3: Dyadic Neural Network Quantization.
Yang, J., Rübel O., Prabhat, Mahoney M., & 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, H. Hua, & Hermansky H. (2000).  Search for Information Bearing Components in Speech. 12,
Yang, W-Y., Novembre J., Eskin E., & Halperin E. (2012).  A Model-Based Approach for Analysis of Spatial Structure in Genetic Data.

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