Publications

Found 37 results
Author Title [ Type(Asc)] Year
Filters: First Letter Of Last Name is X  [Clear All Filters]
Technical Report
Xin, R., Rosen J., Zaharia M., Franklin M. J., Shenker S. J., & Stoica I. (2012).  Shark: SQL and Rich Analytics at Scale.
Owens, T., Saenko K., Chakrabarti A., Xiong Y., Zickler T., & Darrell T. (2011).  The Ratio Method for Multi-View Color Constancy.
N. Erichson, B., Lim S. Hoe, Utrera F., Xu W., Cao Z., & Mahoney M. (2022).  NoisyMix: Boosting Robustness by Combining Data Augmentations, Stability Training, and Noise Injections. arXiv.
RFC
Xiao, X.., Hannan A.., Paxson V., & Crabbe E.. (2000).  TCP Processing of the IPv4 Precedence Field.
Stewart, R.., Xie Q.., Morneault K.., Sharp C.., Schwarzbauer H.., Taylor T.., et al. (2000).  Stream Control Transmission Protocol.
Miscellaneous
Estrin, D., Handley M., Heidemann J., McCanne S., Xu Y.., & Yu H. (2000).  Network Visualization with the Nam, VINT Network Animator.
Passonneau, R. J., Ide N., Baker C. F., Fellbaum C., & Xie B.. (2014).  MASC Word Sense Sentence Corpus, Tab-Separated Format.
Xing, E. P., Jordan M. I., Karp R. M., & Russell S. (2002).  A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences.
Xing, E. P., Ng A.. Y., Jordan M. I., & Russell S. (2002).  Distance Metric Learning, with Application to Clustering with Side-Information.
Journal Article
Xiong, Y., Scharstein D., Chakrabarti A., Darrell T., Sun B., Saenko K., et al. (2014).  Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(11), 2185-2198.
Xing, E. P., & Karp R. M. (2001).  CLIFF: Clustering of High-Dimensional Microarray Data via Iterative Feature Filtering Using Normalized Cuts. 17, S306-S315.
Zaharia, M., Xin R. S., Wendell P., Das T., Armbrust M., Dave A., et al. (2016).  Apache Spark: a unified engine for big data processing. Communications of the ACM. 59(11), 56-65.
Conference Paper
Parton, K., McKeown K. R., Coyne B., Diab M. T., Grishman R., Hakkani-Tür D., et al. (2009).  Who, What, When, Where, Why? Comparing Multiple Approaches to the Cross-Lingual 5W Task. 423-431.
Peskin, B., Navratil J., Abramson J., Jones D., Klusacek D., Reynolds D., et al. (2003).  Using Prosodic and Conversational Features for High-Performance Speaker Recognition: Report From JHU WS'02.. Proceedings of ICASSP-2003.
Xie, S., & Liu Y. (2008).  Using Corpus and Knowledge-Based Similarity Measure in Maximum Marginal Relevance for Meeting Summarization. 4985-4988.
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.
Venugopalan, S., Xu H., Donahue J., Rohrbach M., Mooney R., & Saenko K. (2015).  Translating Videos to Natural Language Using Deep Recurrent Neural Networks.
Reynolds, D., Andrews W., Campbell J., Navratil J., Peskin B., Adami A., et al. (2003).  The SuperSID Project: Exploiting High-Level Information for High-Accuracy Speaker Recognition. Proceedings of ICASSP-2003.
Xu, P., Yang J., Roosta-Khorasani F., Re C., & Mahoney M. (2016).  Sub-sampled Newton Methods with Non-uniform Sampling. Proceedings of the 2016 NIPS Conference.
Xin, R., Rosen J., Zaharia M., Franklin M. J., Shenker S. J., & Stoica I. (2013).  Shark: SQL and Rich Analytics at Scale. 13-24.
Engle, C., Lupher A., Xin R., Zaharia M., Franklin M. J., Shenker S. J., et al. (2012).  Shark: Fast Data Analysis Using Coarse-grained Distributed Memory.
Rabinovich, M., Allman M., Brennan S., Pollack B., & Xu J. (2019).  Rethinking Home Networks in the Ultrabroadband Era. Proceedings of IEEE International Conference on Distributed Computing Systems.
Hu, R., Xu H., Rohrbach M., Feng J., Saenko K., & Darrell T. (2016).  Natural Language Object Retrieval. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Xing, E. P., & Karp R. M. (2004).  MotifPrototyper: A Bayesian Profile Model for Motif Families. Proceedings of the National Academy of Sciences of the United States of America. 101(29), 10523-10528.
Xing, E. P., Wu W.., Jordan M. I., & Karp R. M. (2003).  LOGOS: A Modular Bayesian Model for de Novo Motif Detection. Proceedings of IEEE Computer Society Bioinformatic Conference IPTPS.

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