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Wei Xu

Assistant Computer Scientist

Expertise

Information Visualization, Visual Analytics, X-ray Imaging, High Performance Computing, Machine Learning

Computational Sciences Research Activities

  • Dynamic visualization and visual analytics for NSLS-II data analysis
  • High performance iterative tomography reconstructions on NVIDIA GPU and Intel Xeon Phi coprocessor
  • Deep structured learning for NSLS-II image datasets
  • Visualizing and interacting with incremental machine learning process 

Education

  • PhD, Computer Science, Stony Brook University, Stony Brook, NY, USA
  • MS, Computer Science, Zhejiang University, Hangzhou, China
  • BS, Computer Science, Zhejiang University, Hangzhou, China 

Professional Appointments

  • Assistant Computer Scientist, Computational Science Initiative, Brookhaven National Laboratory, 2015 – present.
  • Research Assistant Professor (visiting), Computer Science Department, Stony Brook University, 2015 – present.
  • Advanced Applications Engineer, Computational Science Center, Brookhaven National Laboratory, 2013 – 2015.

Selected Publications & Research Highlights

  • C. Xie, W. Zhong, J. Kong, W. Xu, K. Mueller and F. Wang, “IEVQ: An Iterative Example-based Visual Query for Pathology Database,” the 2nd Int’l workshop on Data Management and Analytics for Medicine and Healthcare (DMAH), New Delhi, India, 2016.
  • W. Xu, K. Mueller, “A Framework to Visualize Temporal Behavioral Relationships in Streaming Multivariate Data,” New York Scientific Data Summit Conference, New York, 2016.
  • W. Xu, K. Mueller, “Mining Behavior Patterns in Streaming Multivariate Data,” STREAM 2016: Streaming Requirements, Experience, Applications and Middleware Workshop, Tysons, Virginia, March 2016.
  • S. Cheng, W. Xu, W. Zhong and K. Mueller, “A Data-Driven Approach for Mapping Multivariate Data to Color,” IEEE Visualization Conference, Baltimore, ML, 2016.
  • W. Xu and D. Feng , “Studying Performance of A Penalized Maximum Likelihood Method for PET Reconstruction on Nvidia GPU and Intel Xeon Phi Coprocessor,” 4th International Conference on Image Formation in X-Ray Computed Tomography, Bamberg, Germany, July 2016.
  • W. Xu, S. Cheng, W. Zhong, C. Xie, K. Mueller, H. Yan, Y. Chu, K. Yager, M. Fukuto, D. Yu, W.-K. Lee, “Visual Analytics and Visualization for NSLS-II and CFN,” NYSDS, New York, 2016. (poster)
  • W. Xu, S. Cheng, W. Zhong, C. Xie, S. Mahmood, J. Wang, and K. Mueller, “Model-Driven Visual Analytics for Big Data,” NYSDS, New York, 2016. (poster)
  • Studying Performance of A Penalized Maximum Likelihood Method for PET Reconstruction on Nvidia GPU and Intel Xeon Phi Coprocessor, W. Xu and D. Feng, 4th International Conference on Image Formation in X-Ray Computed Tomography, Bamberg, Germany, July 2016
  • Low-dose X-ray Computed Tomographic Reconstruction - A Computational Perspective, W. Xu, Z. Zheng, E. Papenhausen, S. Ha and K. Mueller, Graphic Processing Unit-based High Performance Computing in Radiation Therapy (Chapter 4), CRC Press, 2015
  • NNLSF: a fast and informative fitting method for XANES chemical mapping analysis, S. Yao, C. Chang, W. Xu, N. Zhou, Y. K. Chen-Wiegart, J. Wang, J. Wang and D. Yu, International Symposium on Biomedical Imaging, Brooklyn, NY, 2015
  • End-to-end Delay Minimization for Scientific Workflows in Clouds under Budget Constraint, C. Q. Wu, X. Lin, D. Yu, Wei Xu, and L. Li, Transactions on Cloud Computing 2014
  • Database-Assisted Low-dose CT Image Restoration, Wei Xu, Sungsoo Ha and Klaus Mueller, Medical Physics, 40(3), 031109, pp. 1-7, 2013
  • Efficient Low-Dose CT Artifact Mitigation Using An Artifact-Matched Prior Scan, Wei Xu and Klaus Mueller, Medical Physics, 39 (8), pp. 4748-4760, 2012
  • Conformal Magnifier: A Focus+Context Technique with Local Shape Preservation, Xin Zhao, Wei Zeng, Xianfeng Gu, Arie Kaufman, Wei Xu and Klaus Mueller, IEEE Trans. on Visualization and Computer Graphics, 18(11), pp. 1928-1941, 2012
  • Using GPUs to Learn Effective Parameter Settings for GPU-Accelerated Iterative CT Reconstruction Algorithms, Wei Xu and Klaus Mueller, GPU Computing Gems Emerald Edition, Chapter 43, January 26th 2011
  • VDVR: Verifiable Volume Visualization of Projection-Based Data, Ziyi Zheng, Wei Xu and Klaus Mueller, IEEE Trans. on Visualization and Computer Graphics (Special Issue IEEE Visualization Conference 2010), 16(6), pp. 1515-1524, October 2010
  • High-Performance Iterative Electron Tomography Reconstruction with Long-Object Compensation using Graphics Processing Units (GPUs), Wei Xu, Fang Xu, Mel Jones, Bettina Keszthelyi, John Sedat, David Agard and Klaus Mueller, Journal of Structural Biology, 171(2), pp. 142-153, 2010
  • On the Efficiency of Iterative Ordered Subset Reconstruction Algorithms for Acceleration on GPUs, Fang Xu, Wei Xu, Mel Jones, Bettina Keszthelyi, John Sedat, David Agard and Klaus Mueller, Computer Methods and Programs in Biomedicine 98(3), pp. 261-270, 2010
  • Learning Effective Parameter Settings for Iterative CT Reconstruction Algorithms, Wei Xu and Klaus Mueller, 10th Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, pp.251-254, Beijing, China, September 2009
  • A Performance-Driven Study of Regularization Methods for GPU-Accelerated Iterative CT, Wei Xu and Klaus Mueller, 10th Fully3D associated 2nd High Performance Image Reconstruction Workshop, pp.20-23, Beijing, China, September 2009 (Oral, Best paper award)