Dr. Bing Zhang Department of Statistics

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  • 2023

    Assisted Unsupervised Domain Adaptation

    Chen, C., Zhang, J., Ding, J. & Zhou, Y., 2023, 2023 IEEE International Symposium on Information Theory, ISIT 2023. p. 2482-2487 6 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2023-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2022

    Nonparametric Embeddings of Sparse High-Order Interaction Events

    Wang, Z., Xu, YM., Tillinghast, C., Li, SB., Narayan, A. & Zhe, SD., 2022, International Conference On Machine Learning, Vol 162. Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). 17 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2021

    FastCount: A fast gene count software for single-cell RNA-seq data

    Liu, J., Liu, X., Yu, Y., Wang, C. & Liu, J., Jan 18 2021, Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021. (Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    1 Scopus citations
  • 2020

    Adversarial domain adaptation being aware of class relationships

    Wang, Z., Jing, B., Ni, Y., Dong, N., Xie, P. & Xing, E., Aug 24 2020, ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarin, A. & Lang, J. (eds.). IOS Press BV, p. 1579-1586 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 325).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    7 Scopus citations

  • Consensus Variational and Monte Carlo Algorithms for Bayesian Nonparametric Clustering

    Ni, Y., Jones, D. & Wang, Z., Dec 10 2020, Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020. Wu, X., Jermaine, C., Xiong, L., Hu, X. T., Kotevska, O., Lu, S., Xu, W., Aluru, S., Zhai, C., Al-Masri, E., Chen, Z. & Saltz, J. (eds.). p. 204-209 6 p. 9378319. (Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    5 Scopus citations

  • Show, describe and conclude: On exploiting the structure information of chest X-ray reports

    Jing, B., Wang, Z. & Xing, E., 2020, ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. p. 6570-6580 11 p. (ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    60 Scopus citations
  • 2019

    Ellipse detection of optic disc-and-cup boundary in fundus images

    Wang, Z., Dong, N., Rosario, S. D., Xu, M., Xie, P. & Xing, E. P., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. p. 601-604 4 p. 8759173. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    26 Scopus citations
  • 2018

    Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling

    Wang, Z., Dong, N., Dai, W., Rosario, S. D. & Xing, E. P., 2018, Image Analysis and Recognition - 15th International Conference, ICIAR 2018, Proceedings. ter Haar Romeny, B., Karray, F. & Campilho, A. (eds.). p. 745-753 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10882 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    36 Scopus citations

  • Reinforced auto-zoom net: Towards accurate and fast breast cancer segmentation in whole-slide images

    Dong, N., Kampffmeyer, M., Liang, X., Wang, Z., Dai, W. & Xing, E., 2018, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018 and 8th International Workshop, ML-CDS 2018 Held in Conjunction with MICCAI 2018. Maier-Hein, L., Syeda-Mahmood, T., Taylor, Z., Lu, Z., Stoyanov, D., Madabhushi, A., Tavares, J. M. R. S., Nascimento, J. C., Moradi, M., Martel, A., Papa, J. P., Conjeti, S., Belagiannis, V., Greenspan, H., Carneiro, G. & Bradley, A. (eds.). p. 317-325 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11045 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    34 Scopus citations

  • Scan: Structure correcting adversarial network for organ segmentation in chest x-rays

    Dai, W., Dong, N., Wang, Z., Liang, X., Zhang, H. & Xing, E. P., 2018, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018 and 8th International Workshop, ML-CDS 2018 Held in Conjunction with MICCAI 2018. Maier-Hein, L., Syeda-Mahmood, T., Taylor, Z., Lu, Z., Stoyanov, D., Madabhushi, A., Tavares, J. M. R. S., Nascimento, J. C., Moradi, M., Martel, A., Papa, J. P., Conjeti, S., Belagiannis, V., Greenspan, H., Carneiro, G. & Bradley, A. (eds.). p. 263-273 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11045 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    110 Scopus citations

  • Unsupervised domain adaptation for automatic estimation of cardiothoracic ratio

    Dong, N., Kampffmeyer, M., Liang, X., Wang, Z., Dai, W. & Xing, E., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Fichtinger, G., Davatzikos, C., Alberola-López, C., Frangi, A. F. & Schnabel, J. A. (eds.). p. 544-552 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11071 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    73 Scopus citations
  • 2016

    Applications of robust regression to “big” data problems

    Sheather, S. J., 2016, Robust Rank-Based and Nonparametric Methods - Selected, Revised, and Extended Contributions. McKean, J. W. & Liu, R. Y. (eds.). p. 101-120 20 p. (Springer Proceedings in Mathematics and Statistics; vol. 168).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • On interestingness measures for mining statistically significant and novel clinical associations from EMRs

    Abar, O., Charnigo, R. J., Rayapati, A. & Kavuluru, R., Oct 2 2016, ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. p. 587-594 8 p. (ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    5 Scopus citations

  • Rank-based inference for multivariate data in factorial designs

    Bathke, A. C. & Harrar, S. W., 2016, Robust Rank-Based and Nonparametric Methods - Selected, Revised, and Extended Contributions. McKean, J. W. & Liu, R. Y. (eds.). p. 121-139 19 p. (Springer Proceedings in Mathematics and Statistics; vol. 168).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    6 Scopus citations
  • 2015

    Non-equilibrium analysis of emission spectroscopy data taken in the freestream of the NASA IHF arc jet facility

    Winter, M. W., Srinivasan, C. & Charnigo, R., 2015, 46th AIAA Plasmadynamics and Lasers Conference. (46th AIAA Plasmadynamics and Lasers Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    6 Scopus citations
  • 2014

    Serum and salivary cardiac analytes in acute myocardial infarction related to oral health status

    Ebersole, J. L., Kryscio, R. J., Campbell, C., Kinane, D. F., McDevitt, J. T., Christodoulides, N., Floriano, P. N. & Miller, C. S., 2014, Sensing Technologies for Global Health, Military Medicine, and Environmental Monitoring IV. 91120G. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 9112).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations
  • 2013

    Traceability challenge 2013: Statistical analysis for traceability experiments: Software verification and validation research laboratory (SVVRL) of the University of Kentucky

    Hays, M., Hayes, J. H., Stromberg, A. J. & Bathke, A. C., 2013, 2013 7th International Workshop on Traceability in Emerging Forms of Software Engineering, TEFSE 2013 - Proceedings. p. 90-94 5 p. 6620161. (2013 7th International Workshop on Traceability in Emerging Forms of Software Engineering, TEFSE 2013 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations
  • 2012

    Quantile regression estimation of panel duration models with censored data

    Harding, M. & Lamarche, C., 2012, Essays in Honor of Jerry Hausman. Baltagi, B., Hill, C., Newey, W. & White, H. (eds.). p. 237-267 31 p. 17072658. (Advances in Econometrics; vol. 29).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    4 Scopus citations

  • Simultaneous learning of several Bayesian and mahalanobis discriminant functions by a neural network with memory nodes

    Ito, Y., Izumi, H. & Srinivasan, C., 2012, Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings. PART 5 ed. p. 25-33 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7667 LNCS, no. PART 5).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2011

    A new algorithm for learning mahalanobis discriminant functions by a neural network

    Ito, Y., Izumi, H. & Srinivasan, C., 2011, Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings. PART 2 ed. p. 596-605 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7063 LNCS, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes

    Ito, Y., Izumi, H. & Srinivasan, C., 2011, 2011 International Joint Conference on Neural Networks, IJCNN 2011 - Final Program. p. 733-740 8 p. 6033294. (Proceedings of the International Joint Conference on Neural Networks).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2009

    Learning of mahalanobis discriminant functions by a neural network

    Ito, Y., Izumi, H. & Srinivasan, C., 2009, Neural Information Processing - 16th International Conference, ICONIP 2009, Proceedings. PART 1 ed. p. 417-424 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5863 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    4 Scopus citations
  • 2008

    Learning of Bayesian discriminant functions by a layered neural network

    Ito, Y., Srinivasan, C. & Izumi, H., 2008, Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers. PART 1 ed. p. 238-247 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4984 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    5 Scopus citations

  • Multi-category bayesian decision by neural networks

    Ito, Y., Srinivasan, C. & Izumi, H., 2008, Artificial Neural Networks - ICANN 2008 - 18th International Conference, Proceedings. PART 1 ed. p. 21-30 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5163 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    5 Scopus citations
  • 2007

    A neural network having fewer inner constants to be trained and Bayesian decision

    Ito, Y., Srinivasan, C. & Izumi, H., 2007, The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings. p. 2993-2998 6 p. 4371437. (IEEE International Conference on Neural Networks - Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Lab-on-a-chip methods for point-of-care measurements of salivary biomarkers of periodontitis

    Christodoulides, N., Floriano, P. N., Miller, C. S., Ebersole, J. L., Mohanty, S., Dharshan, P., Griffin, M., Lennart, A., Ballard, K. L. M., King, C. P., Langub, M. C., Kryscio, R. J., Thomas, M. V. & McDevitt, J. T., Mar 2007, Oral-based Diagnostics. p. 411-428 18 p. (Annals of the New York Academy of Sciences; vol. 1098).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    119 Scopus citations
  • 2006

    Discriminant analysis by a neural network with mahalanobis distance

    Ito, Y., Srinivasan, C. & Izumi, H., 2006, Artificial Neural Networks, ICANN 2006 - 16th International Conference, Proceedings. p. 350-360 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4132 LNCS - II).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    12 Scopus citations
  • 2005

    Bayesian learning of neural networks adapted to changes of prior probabilities

    Ito, Y., Srinivasan, C. & Izumi, H., 2005, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 252-259 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3697 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    10 Scopus citations
  • 2001

    Approximation of Bayesian discriminant function by neural networks in terms of Kullback-Leibler information

    Ito, Y. & Srinivasan, C., 2001, Artificial Neural Networks - ICANN 2001 - International Conference, Proceedings. Hornik, K., Dorffner, G. & Bischof, H. (eds.). p. 135-140 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2130).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Scopus citations
  • 1996

    Robust detection of road segments in noisy aerial images

    Netanyahu, N. S., Philomin, V., Rosenfeld, A. & Stromberg, A. J., 1996, Track B: Pattern Recognition and Signal Analysis. p. 151-155 5 p. 546742. (Proceedings - International Conference on Pattern Recognition; vol. 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Scopus citations
  • 1986

    ON MODELS OF MINIMAL REPAIR AND THEIR RELATIONSHIP WITH SHOCK MODELS.

    Griffith, W. S., 1986, Modeling and Simulation, Proceedings of the Annual Pittsburgh Conference. Hanham, R., Vogt, W. G., Mickle, M. H., Aburdene, M. A., Green, R. D., Lu, H. Q., Rose, A., Ak, S., Gubala, C., Lukic, V. P. & Ryaciotaki-Boussalis, H. A. (eds.). pt 5 ed. p. 1685-1687 3 p. (Modeling and Simulation, Proceedings of the Annual Pittsburgh Conference; vol. 17, no. pt 5).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 1984

    SOME GENERALIZATIONS OF CONSECUTIVE K-OUT-OF-N FAILURE SYSTEMS.

    Griffith, W. S., 1984, Modeling and Simulation, Proceedings of the Annual Pittsburgh Conference. p. 799-803 5 p. (Modeling and Simulation, Proceedings of the Annual Pittsburgh Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations
  • 1983

    RECENT WORK ON THE RELIABILITY OF CONSECUTIVE K-OUT-OF-N FAILURE SYSTEMS.

    Griffith, W. S., 1983, Modeling and Simulation, Proceedings of the Annual Pittsburgh Conference. Vogt, W. G. & Mickle, M. H. (eds.). p. 1165-1169 5 p. (Modeling and Simulation, Proceedings of the Annual Pittsburgh Conference; vol. 14).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations
  • 1982

    CONSECUTIVE K-OUT-OF-N FAILURE SYSTEMS.

    Griffith, W. S. & Govindarajulu, Z., 1982, Modeling and Simulation, Proceedings of the Annual Pittsburgh Conference. p. 1303-1305 3 p. (Modeling and Simulation, Proceedings of the Annual Pittsburgh Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations
  • 1981

    SECOND LOOK AT A UNIVARIATE SHOCK MODEL.

    Griffith, W. S., 1981, Modeling and Simulation, Proceedings of the Annual Pittsburgh Conference. p. 1585-1589 5 p. (Modeling and Simulation, Proceedings of the Annual Pittsburgh Conference; vol. 12).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review