Publications

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Zaitlen, N., Pasaniuc B., Gur T., Ziv E., & Halperin E. (2010).  Leveraging Genetic Variability Across Populations for the Identification of Causal Variants. The American Journal of Human Genetics. 86(1), 23-33.
Zaitlen, N., Kang H. Min, Eskin E., & Halperin E. (2007).  Leveraging the HapMap Correlation Structure in Association Studies. American Journal of Human Genetics. 80, 683-691.
Zamir, O.., Etzioni O., Madani O.., & Karp R. M. (1997).  Fast and Intuitive Clustering of Web Documents. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. 287-290.
Zarchy, D., Mittal R., Schapira M., & Shenker S. (2019).   Axiomatizing Congestion Control. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 3(2), 
Zaslavsky, N., Kemp C., Tishby N., & Regier T. (2019).  Communicative need in colour naming. Cognitive Neuropsychology.
Zaslavsky, N., Regier T., Tishby N., & Kemp C. (2019).  Semantic categories of artifacts and animals reflect efficient coding. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.
Zaslavsky, N., Garvin K., Kemp C., Tishby N., & Regier T. (2019).  Evolution and efficiency in color naming: The case of Nafaanra. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.
Zeiler, S., Meutzner H., Abdelaziz A. Hussen, & Kolossa D. (2016).  Introducing the Turbo-Twin-HMM for Audio-Visual Speech Enhancement. Proceedings of Interspeech 2016.
Zhang, H., & Knightly E. W. (1994).  Comparison of Rate-Controlled Static Priority and Stop-and-Go.
Zhang, N., Farrell R., Iandola F., & Darrell T. (2013).  Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction.
Zhang, N., Donahue J., Girshick R., & Darrell T. (2014).  Part-Based R-CNNs for Fine-Grained Category Detection.
Zhang, M., Karp B., Floyd S., & Peterson L. (2002).  Improving TCP's Performance Under Reordering with DSACK.
Zhang, Y., & Paxson V. (2000).  Detecting Stepping Stones. Proceedings of the Ninth USENIX Security Symposium.
Zhang, T.., Yao Z.., Gholami A.., Keutzer K.., Gonzalez J.., Biros G.., et al. (2019).  ANODEV2: A Coupled Neural ODE Evolution Framework. Proceedings of the 2019 NeurIPS Conference.
Zhang, Y., Breslau L., Paxson V., & Shenker S. (2002).  On the Characteristics and Origins of Internet Flow Rates. Proceedings of the ACM SIGCOMM Conference. 309-322.
Zhang, J., & Morgan N. (1990).  Stochastic Model-Based Image Segmentation Using Markov Random Fields and Multi-Layer Perceptrons.
Zhang, L., Michel S.., Nguyen K.., Rosenstein A.., Floyd S., & Jacobson V. (1998).  Adaptive Web Caching: Towards a New Global Caching Architecture. Proceedings of the Third International WWW Caching Workshop.
Zhang, Y., & Paxson V. (2000).  Detecting Backdoors. Proceedings of the Ninth USENIX Security Symposium.
Zhang, Y., Duffield N., Paxson V., & Shenker S. (2001).  On the Constancy of Internet Path Properties. Proceedings of the 1st ACM SIGCOMM Internet Measurement Workshop (IMW '01). 197-211.
Zhang, L., Deering S., Estrin D., Shenker S., & Zappala D. (1993).  RSVP: A Resource ReSerVation Protocol. IEEE Network Magazine. 7(5), 8-18.
Zhang, N., Paluri M., Ranzato M. Aurelio, Darrell T., & Bourdev L. (2014).  PANDA: Pose Aligned Networks for Deep Attribute Modeling.
Zhang, Y., & Shapiro V. (2018).  Linear-Time Thermal Simulation of As-Manufactured Fused Deposition Modeling Components. Journal of Manufacturing Science and Engineering. 140(7), 
Zhang, C. Micahel, & Paxson V. (2011).  Detecting and Analyzing Automated Activity on Twitter.
Zhang, L., Shenker S., & Clark D. D. (1991).  Observations on the Dynamics of a Congestion Control Algorithm: The Effects of Two-Way Traffic. Proceedings of the ACM SIGCOMM '91 Conference on Communications Architecture & Protocols. 133-147.
Zhang, W., Yu S. X., & Teng S-H. (2012).  Power SVM: Generalization with Exemplar Classification Uncertainty. 2144-2151.

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