Publications

Found 175 results
Author Title [ Type(Desc)] Year
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Book Chapter
Hung, H., Friedland G., & Yeo C. (2010).  Computationally Efficient Clustering of Audio-Visual Meeting Data. 25-59.
Yang, H. Hua, & Hermansky H. (2000).  Search for Information Bearing Components in Speech. 12,
Conference Paper
Chen, J., Zheng L., Yao Z., Wang D., Stoica I., Mahoney M., et al. (2021).  ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training.
Hwang, J-J., Ke T-W., Shi J., & Yu S. X. (2019).  Adversarial Structure Matching for Structured Prediction Tasks. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
Maire, M., Narihira T., & Yu S. X. (2016).  Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
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.
Yaman, S., Tur G., Vergyri D., Hakkani-Tür D., Harper M. P., & Wang W. (2009).  Anchored Speech Recognition for Question Answering. 265-268.
Yu, S. X. (2012).  Angular Embedding: A Robust Quadratic Criterion. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. 34(1), 158-173.
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.
Huebsch, R., Chun B., Hellerstein J. M., Loo B. Thau, Maniatis P., Roscoe T., et al. (2005).  The Architecture of PIER: An Internet-Scale Query Processor. Proceedings of Second Biennial Conference on Innovative Data Systems Research (CIDR 2005). 28-43.
Livescu, K., etin Ö. Ç., Hasegawa-Johnson M., King S., Bartels C., Borges N., et al. (2007).  Articulatory Feature-Based Methods for Acoustic and Audio-Visual Speech Recognition: Summary from the 2006 Jhu Summer Workshop.
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.
Virtue, P., Yu S. X., & Lustig M. (2017).  Better than Real: Complex-valued Neural Networks for MRI Fingerprinting. Proceedings of the International Conference on Image Processing 2017.
Tur, G., Stolcke A., Voss L., Dowding J., Favre B., Fernández R., et al. (2008).  The CALO Meeting Speech Recognition and Understanding System. 69-72.
Pang, R., Yegneswaran V., Barford P., Paxson V., & Peterson L. (2004).  Characteristics of Internet Background Radiation. Proceedings of the 2004 Internet Measurement Conference (IMC 2004).
Yaman, S., Hakkani-Tür D., Tur G., Grishman R., Harper M. P., McKeown K. R., et al. (2009).  Classification-Based Strategies for Combining Multiple 5-W Question Answering Systems. 2703-2706.
Popa, L., Yu M., Ko S.. Y., Ratnasamy S., & Stoica I. (2010).  CloudPolice: Taking Access Control out of the Network.
Wang, Z., Hormozdiari F., Yang W-Y., Halperin E., & Eskin E. (2012).  CNVeM: Copy Number Variation Detection Using Uncertainty of Read Mapping. 326-340.
Yaman, S., Hakkani-Tür D., & Tur G. (2009).  Combining Semantic and Syntactic Information Sources for 5-W Question Answering. 2707-2710.
Liu, J., Shenker S. J., Schapira M., & Yang B. (2011).  Data-Driven Network Connectivity. 1-6.
Alizadeh, M., Yang S., Katti S., McKeown N., Prabhakar B., & Shenker S. J. (2012).  Deconstructing Datacenter Packet Transport. 133-138.
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.
Pirinen, T., Yli-Hietanen J., Pertilä P., & Visa A. (2004).  Detection and Compensation of Sensor Malfunction in Time Delay Based Direction of Arrival Estimation. Proceedings of IEEE ISCAS.
Narihira, T., Maire M., & Yu S. X. (2015).  Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. Proceedings of International Conference on Computer Vision.
Ben-Dor, A., Chor B., Karp R. M., & Yakhini Z. (2002).  Discovering Local Structure in Gene Expression Data: The Order Preserving Submatrix Problem. Proceedings of the Sixth Annual International Conference on Research in Computational Molecular Biology (RECOMB'02).

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