Yao Xie

Papers are listed below by years of publication. A list by journal/conference papers is here.

Preprints and Submitted

  1. Uncertainty quantification and design for noisy matrix completion - a unified framework.
    S. Mak and Y. Xie.
  2. On near optimality of one-sample update for sequential joint detection and estimation.
    Y. Cao, L. Xie, Y. Xie and H. Xu.
  3. : An efficient score statistic for spatial-temporal surveillance.
    J. Chen, S.-H. Kim, and Y. Xie.
  4. Sequential detection of low-rank changes using extreme eigenvalues.
    L. Xie and Y. Xie.
  5. Change detection via affine and quadratic detectors. (arXived version)
    Y. Cao, V. Guigues, A. Juditsky, A. Nemirovski, and Y. Xie.
  6. Data-driven threshold machine: Scan statistics, change-point detection, and extreme bandits.
    S. Li, Y. Xie, and L. Song.
  7. To reduce or not to reduce: A study on spatio-temporal surveillance.
    J. Chen, S.-H. Kim, and Y. Xie.
  8. Sketching for sequential change-point detection.
    Y. Cao, A. Thompson, M. Wang, and Y. Xie.
    (Authors listed alphabetically. A preliminary version appeared in GlobalSIP 2015.)
  9. M-statistic for kernel change-point detection.
    S. Li, Y. Xie, H. Dai, and L. Song.
    (Partial results appeared in NIPS 2015. Poster.)
  10. Sequential information guided sensing.
    R. Song, Y. Xie and S. Pokutta.
  11. Compressive demodulation of mutually interfering signals.
    Y. Chi, Y. Xie and R. Calderbank.
    In revision, IEEE Transactions on Information Theory.

2017

  1. Detecting weak changes in dynamic events over networks.
    S. Li, Y. Xie, M. Farajtabar, A. Verma, and L. Song. IEEE Transactions on Signal and Information Processing over Networks. Vol. 3, No. 2, pp. 346-359, 2017.
  2. Robust sequential change-point detection by convex optimization.
    Y. Cao, and Y. Xie. International Symposium on Information Theory (ISIT) 2017.
  3. PMU-based online change-point detection of imbalance in three-phase power systems.
    T. Routtenberg and Y. Xie. 2017 IEEE PES Innovative Smart Grid Technologies Conference.

2016

  1. Multi-sensor slope change detection.
    Y. Cao, Y. Xie, and N. Gebraeel. Annals of Operations Research, pp. 1-27, April 2016.
  2. Poisson matrix recovery and completion.
    Y. Cao and Y. Xie. IEEE Transactions on Signal Processing, Vol. 64, No. 6, pp. 1609-1620, March 2016.
  3. Sequential low-rank change detection.
    Y. Xie, and L. Seversky. Allerton Conference 2016.
  4. Seismic event picking via sequential change-point detection.
    S. Li, Y. Cao, C. Leamon, Y. Xie, L. Shi, and W.-Z. Song. Allerton Conference 2016.
  5. Dynamic change-point detection using correlation networks.
    S. Cao, and Y. Xie. Asilomar Conference 2016.

2015

  1. Info-Greedy sequential adaptive compressed sensing.
    G. Braun, S. Pokutta, and Y. Xie. IEEE Journal Selected Topics in Signal Processing, Vol. 9, No. 4, pp. 601-611, June 2015. (Authors listed alphabetically.) (arXiv)
  2. Sequential change-point approach for community detection.
    D. Maragoni-Simonsen and Yao Xie. IEEE Signal Processing Letter, Vol. 22, No. 8, pp. 1035-1039, Aug. 2015. (arXiv)
  3. On group coherence of frames.
    R. Calderbank, A. Thompson, and Y. Xie. Applied and Computational Harmonic Analysis, Vol. 38, pp. 50-71, 2015. (Authors listed alphabetically.) (arXiv)
  4. PMU based detection of imbalance in three-phase power systems.
    T. Routtenberg, Y. Xie, R. M. Willett and L. Tong. IEEE Transactions on Power Systems, Vol. 30, No. 4, pp. 1966 - 1976, July 2015. (arXiv)
  5. Guest editors' introduction to "System Informatics: From Methodology to Applications".
    K. Zhao, Y. Xie, and K.-L. Tsui. IEEE Intelligent Systems, vol. 30, no. 6, Oct. 2015.
  6. Sketching for sequential change-point detection.
    Y. Xie, M. Wang, and A. Thompson. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Dec. 2015.

  7. M-statistic for kernel change-point detection.
    S. Li, Y. Xie, H. Dai, and L. Song. Advanced on Neural Information Processing Systems (NIPS), Dec. 2015.
  8. Categorical matrix completion.
    Y. Cao and Y. Xie. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec. 2015.
  9. Supervised online subspace tracking.
    Y. Xie, Q. Li, and S. Pokutta. IEEE annual Asilomar Conference Signals, Systems, and Communications, Nov. 2015.
  10. Multi-sensor gradual change detection.
    Y. Cao and Y. Xie. 53rd Annual Allerton Conference on Communication, Control, and Computing, Oct. 2015.
  11. Sequential sensing with model mismatch.
    R. Song, Y. Xie and S. Pokutta. International Symposium on Information Theory (ISIT), July 2015.
  12. Poisson matrix completion.
    Y. Cao and Y. Xie, International Symposium on Information Theory (ISIT), July 2015.

2014

  1. Info-greedy sequential adaptive compressed sensing.
    G. Braun, S. Pokutta, and Y. Xie. Allerton Conference, Oct. 2014.
  2. Fast algorithm for low-rank matrix recovery in Poisson noise.
    Y. Cao and Y. Xie. IEEE Global Conf. on Signal and Information Processing (GlobalSIP). Dec. 2014.
  3. Sequential change-point detection approach for online community detection.
    D. Maragoni-Simenson and Y. Xie, 2014 INFORMS Workshop on Data Mining and Analytics, June 2014.

2013

  1. Sequential multi-sensor change-point detection.
    Y. Xie and D. Siegmund. Annals of Statistics, Vol. 41, No. 2, pp. 670-692, 2013.
  2. Reduced-dimension multiuser detection.
    Y. Xie, Y. C. Eldar and A. Goldsmith. IEEE Transactions on Information Theory, Vol. 59, No. 6, pp. 3858-3874, June 2013.
  3. Change-point detection for high-dimensional time series with missing data.
    Y. Xie, J. Huang and R. Willett. IEEE Journal of Selected Topics in Signal Processing (J-STSP), vol. 7, no. 1, pp. 12-27, Feb. 2013.
  4. Low-rank matrix recovery with Poisson noise.
    Y. Xie, Y. Chi, and R. Calderbank, IEEE Global Conf. on Signal and Information Processing (GlobalSIP), June 2013.
  5. Change-point detection for high-dimensional data.
    Y. Xie, and R. Willett, Asilomar Conference on Signals, Systems, and Computers, Nov. 2013.
  6. Sparse subspace clustering for automated spike sorting.
    V. Subramanian, H. Ghadyali, Y. Xie, M. A. Lebedev and M. A. L. Nicolelis, Society for Neuroscience Annual Meeting, May 2013.

2012

  1. Online logistic regression on manifolds.
    Y. Xie, R. Willett, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Nov. 2012.
  2. Spectrum opportunity detection with weak and correlated signals.
    Y. Xie, D. Siegmund, IEEE annual Asilomar conference on Signals, Systems, and Communications, Nov. 2012.
  3. Parallel mixture procedure for multi-sensor change-point detection .
    Y. Xie and D. Siegmund, Joint Statistical Meetings, Aug. 2012.
  4. Compressive demodulation of mutually interfering signals.
    Y. Xie, Y. Chi, L. Applebaum, R. Calderbank, IEEE Statistical Signal Processing Workshop (SSP), Feb. 2012.
  5. Multiscale online tracking of manifolds. [Demo].
    Y. Xie, J. Huang, R. Willett, IEEE Statistical Signal Processing Workshop (SSP), Feb. 2012.

2011 and earlier

  1. Reduced-dimension multiuser detection: detectors and performance guarantees
    (nominated for best student paper award).
    Y. Xie, Y. C. Eldar, A. Goldsmith, Proceeding of IEEE International Conference on communications (ICC), pp. 2293 - 2297, Oct. 2011.
  2. Multi-sensor change-point detection.
    Y. Xie and D. Siegmund, Joint Statistical Meetings, Aug. 2011.
  3. Change-point detection of weak signals: How to use signal correlation.
    Y. Xie and D. Siegmund. Technical Report, 2011.
  4. Reduced-dimension multiuser detection.
    Y. Xie, Y. C. Eldar, A. Goldsmith, 48th Annual Allerton Conference on Communication, Control, and Computing, July 2010.
  5. Diversity-multiplexing-delay tradeoffs in MIMO multi-hop networks with ARQ. [Presentation].
    Y. Xie and A. Goldsmith, Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on, pp. 2208 - 2212, 2010.
  6. Dynamic spectrum management with the competitive market model.
    Y. Xie, B. Armbruster and Y. Ye. IEEE Transactions on Signal Processing, Vol. 58, No. 4, April 2010, pp. 2442-2446.
  7. Multihop MIMO relay networks with ARQ. [Presentation], Y. Xie, D. Gunduz, and A. Goldsmith, IEEE Globecom 2009, Communication Symposium.
  8. Analysis of competitive economy equilibrium solution for spectrum management.
    Y. Ye, J.-F. Tsai, M.-H. Lin and Y. Xie, SIAM Conference on Optimization, May 2008.
  9. Adaptive and Robust Methods Of Reconstruction (ARMOR) for Thermoacoustic Tomography.
    Y. Xie, B. Guo, J. Li, K. Geng and L. V. Wang. IEEE Transactions on Biomedical Engineering, vol. 55, No. 12, pp. 2741-2752, Dec. 2008.
  10. Beampattern synthesis via a matrix approach for signal power estimation.
    J. Li, Y. Xie, X. Zheng and J. Ward. IEEE Transactions on Signal Processing, vol. 55, No. 12, pp. 5643-5657, Dec. 2007.
  11. MIMO transmit beamforming under uniform elemental power constraint.
    X. Zheng, Y. Xie, J. Li and P. Stoica. IEEE Transactions on Signal Processing, vol. 55, No. 11, pp. 5395-5406, Nov. 2007.
  12. On probing signal design for MIMO radar. P. Stoica, J. Li and Y. Xie. IEEE Transactions on Signal Processing, vol. 55, No. 8, pp. 4151-4161, Aug. 2007. (Nominated for SPS best paper award.)
  13. Multi-static Adaptive Microwave Imaging (MAMI) for early breast cancer detection.
    Y. Xie, B. Guo, L. Xu, J. Li and P. Stoica. IEEE Transaction on Biomedical Engineering, vol. 53, No. 8, pp. 1647-1657, Aug. 2006.
  14. Novel Multi-Static Adaptive Microwave Imaging (MAMI) for early breast cancer detection.
    Y. Xie, B. Guo, J. Li, and P. Stoica. EURASIP Journal on Applied Signal Processing Special Issue on Multi-Sensor Processing, vol. 2006.
  15. Optimal correction of an indefinite estimated MA spectral density matrix.
    P. Stoica, L. Xu, J. Li and Y. Xie. Statistics and Probability Letters, Vol. 77, No. 10, pp. 973-980, Jan. 2006.
  16. Analysis of ELF virus in LINUX/UNIX systems.
    Y. Xie, J.-F. Pan, and M. Zhu. Computer Engineering, Vol. 31, No. 4, pp. 166-168, Feb., 2005.
  17. Lossy raw data compression in computed tomography with noise shaping to control image effects.
    Y. Xie, A. S. Wang, and N. J. Pelc, SPIE Symposium on Medical Imaging, 2008.
  18. Effects of the Frequency Content and Spatial Location of Raw Data Errors on CT Images.
    A. S. Wang, Y. Xie and N. J. Pelc, SPIE Symposium on Medical Imaging, 2008.
  19. Adaptive WEighting of signals via One Matrix Entity (AWESOME).
    Y. Xie, J. Li and J. Ward, IEEE International Radar Conference 2007, April 2007.
  20. Optimal array pattern synthesis via weighting matrix (best student paper award finalist).
    Y. Xie, J. Li, X. Zheng, and J. Ward, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2007, April, 2007.
  21. Adaptive and Robust Techniques (ART) for Thermoacoustic and Photoacoustic Tomography.
    Y. Xie, B. Guo, G. Ku, and L. V. Wang, Photons Plus Ultrasound Imaging and Sensing 2007: The Eighth Conference on Biomedical Thermoacoustics, Optoacoustics, and Acousto-optics, Part of SPIE International Symposium on Biomedical Optics, Jan., 2007.
  22. Adaptive and Robust Techniques (ART) for thermoacoustic tomography in breast cancer detection.
    Y. Xie, B. Guo, J. Li, G. Ku, and L. V. Wang, invited paper, 40th IEEE Asilomar Conference on Signals, Systems, and Computers, Oct. 2006.
  23. On probing signal design for MIMO radar.
    P. Stoica, J. Li, and Y. Xie, invited paper, 40th IEEE Asimolar conference on Signals, Systems, and Computers, Oct. 2006.
  24. On Multi-Static Adaptive Microwave Imaging (MAMI) for early breast cancer detection.
    Y. Xie, B. Guo, J. Li, and P. Stoica, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2006, May 2006.
  25. Multi-static Adaptive Microwave Imaging (MAMI) for early breast cancer detection (first place in best student paper award).
    Y. Xie, B. Guo, L. Xu, J. Li, and P. Stoica, Proceeding of 39th IEEE Asilomar Conference on Signals, Systems, and Computers, 285-289, Oct. 2005.
  26. Analysis of ELF virus in LINUX/UNIX systems.
    Y. Xie, J.-F. Pan, and M. Zhu. Computer Engineering, Vol. 31, No. 4, pp. 166-168, Feb., 2005.
  27. HiMCAN: a novel DHT based content addressable network [PDF], Yao Xie, Peilin Hong, and Jing Sheng Li, Journal on Electronics and Systems (Chinese).

Thesis

  1. Statistical signal detection with multi-sensor and sparsity [PDF]. Ph. D. dissertation, Stanford University, Nov. 2011.
  2. Adaptive and Robust Techniques (ART) for thermoacoutic tomography [PDF]. M. Sc. Thesis, University of Florida, May 2006.
  3. HiMCAN: a novel DHT based content addressable P2P network, B.Sc. Thesis (Best Thesis Award). University of Science and Technology of China, June 2004.