Yao Xie

Google Scholar

Selected Publications

Crime linkage detection by spatial-temporal-textual point processes.
Shixiang Zhu, and Yao Xie.
Accepted, Annals of Applied Statistics.

Conformal prediction interval for dynamic time-series.
Chen Xu, and Yao Xie.
Conference version published in ICML 2021 (Long presentation).
GitHub

Inferring serial correlation with dynamic backgrounds.
Song Wei, Yao Xie, Dobromir Rahnev.
ICML 2021 (Long presentation).

Neural tangent kernel maximum mean discrepancy.
Xiuyuan Cheng, and Yao Xie.
Neurips 2021.

Sequential change detection by optimal weighted l2 divergence.
Liyan Xie, and Yao Xie.
IEEE Journal on Selected Areas in Information Theory. Vol. 2, No. 2, pp. 747-761, 2021.
Special Issue on "Sequential, Active, and Reinforcement Learning."

Goodness-of-fit tests on manifolds.
Alexander Shapiro, Yao Xie, and Rui Zhang.
IEEE Transactions on Information Theory. Vol. 67, No. 4, pp. 2539-2553, 2021.

Convex parameter recovery for interacting marked processes.
Anatoil Juditsky, Arkadi Nemirovski, Liyan Xie, and Yao Xie.
IEEE Journal on Selected Areas in Information Theory, vol. 1, no. 3, pp. 799-813, 2020.
Special Issue on "Estimation and Inference."

Scan B-statistic for kernel change-point detection.
S. Li, Y. Xie, H. Dai, and L. Song.
Sequential Analysis, Vol. 38, No. 4, pp. 503-544. 2019.

Robust hypothesis testing with Wasserstein uncertainty sets.
Rui Gao, Liyan Xie, Yao Xie.
Conference version appears in NeurIPS 2018 (Spotlight).

Sequential change-point detection via online convex optimization. (pdf)
Y. Cao, L. Xie, Y. Xie and H. Xu.
Entropy, Vol. 20, No.2, 108, 2018.
Special Issue on "Information Theory in Machine Learning and Data Science."

Poisson matrix recovery and completion.
Yang Cao and Yao Xie.
IEEE Transactions on Signal Processing, Vol. 64, No. 6, pp. 1609-1620, 2016.

On group coherence of frames.
Robert Calderbank, Andrew Thompson, and Yao Xie.
Applied and Computational Harmonic Analysis, Vol. 38, pp. 50-71, 2015. (Authors listed alphabetically.)

Change-point detection for high-dimensional time series with missing data.
Yao Xie, Jiaji Huang, and Rebecca Willett.
IEEE Journal of Selected Topics in Signal Processing (J-STSP), vol. 7, no. 1, pp. 12-27, 2013.

Reduced-dimension multiuser detection.
Yao Xie, Yonina C. Eldar and Andrea Goldsmith.
IEEE Transactions on Information Theory, Vol. 59, No. 6, pp. 3858-3874, 2013.

Sequential multi-sensor change-point detection.
Yao Xie and David Siegmund. Annals of Statistics, Vol. 41, No. 2, pp. 670-692, 2013.

Preprints

  1. Sinkhorn distributionally robust optimization.
    Jie Wang, Rui Gao, Yao Xie.
  2. Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data.
    Zheng Dong, Shixiang Zhu, Yao Xie, Jorge Mateu, Francisco J. Rodriguez-Cortes.
  3. A spatio-temporal analysis for power grid resilience to extreme weather.
    Shixiang Zhu, Rui Yao, Yao Xie, Feng Qiu, and Xuan Wu.
  4. Survival analysis with graph-based regularization for predictors.
    Xi He, Liyan Xie, Yao Xie, Pinar Keskinocak.
  5. Multi-resolution spatio-temporal prediction with application to wind power generation.
    Shixiang Zhu, Hanyu Zhang, Yao Xie, Pascal Van Hentenryck.
  6. Kernel MMD two-sample tests for manifold data.
    Xiuyuan Cheng, Yao Xie.
  7. Neural spectral marked point processes.
    Shixiang Zhu, Haoyun Wang, Xiuyuan Cheng, Yao Xie.
  8. Inferring Granger causality from irregularly sampled time series.
    Song Wei, Yao Xie, Christopher S. Josef, and Rishikesan Kamaleswaran.
  9. Two-sample test with kernel projected Wasserstein distance.
    Jie Wang, Rui Gao, Yao Xie.
  10. Sequential change-point detection for mutually exciting point processes over networks.
    Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak.
  11. Solar radiation anomaly events modeling using spatio-temporal mutually interactive processes.
    Minghe Zhang, Chen Xu, Andy Sun, Feng Qiu, Yao Xie.
    Conference version presented at INFORMS Conference on Service Science (ICSS 2021).
  12. Bayesian uncertainty quantification for low-rank matrix completion.
    Henry Shaowu Yuchi, Simon Mak, and Yao Xie.
  13. Tensor kernel recovery for spatio-temporal Hawkes processes.
    Heejune Sheen, Xiaonan Zhu, Yao Xie.
  14. Online detection of a cascade of multiple change-points.
    Rui Zhang, Rui Yao, Yao Xie, and Feng Qiu.
  15. Distributionally robust k-nearest neighbors.
    S. Zhu, L. Xie, M. Zhang, R. Gao, and Y. Xie.
  16. Data-driven optimization for police zone design.
    S. Zhu, H. Wang, and Y. Xie.
  17. Constrained Bayesian optimization and spatio-temporal surveillance for sensor network design in the presence of measurement errors.
    Junzhuo Chen, Mustafa M. Aral, Seong-Hee Kim, Chuljin Park, and Yao Xie.
    In revision, Engineering Optimization.

2021

  1. Crime linkage detection by spatial-temporal-textual point processes.
    Shixiang Zhu, and Yao Xie.
    Annals of Applied Statistics, Accepted.
  2. Dynamic pricing in an evolving and unknown marketplace.
    Yiwei Chen, Zheng Wen, and Yao Xie.
    Management Science, Minor Revision.
  3. Sequential (quickest) change detection: Classical results and new directions.
    Liyan Xie, Shaofeng Zou, Yao Xie, and Venugopal V. Veeravalli.
    IEEE Journal on Selected Areas in Information Theory. Vol. 2, No. 2, pp. 494-514, 2021.
  4. Goodness-of-fit tests on manifolds.
    A. Shapiro, Y. Xie, and R. Zhang.
    IEEE Transactions on Information Theory. Vol. 67, No. 4, pp. 2539-2553, 2021.
  5. Sequential change detection by optimal weighted l2 divergence.
    Liyan Xie and Yao Xie.
    IEEE Journal on Selected Areas in Information Theory. Vol. 2, No. 2, pp. 747-761, 2021.
  6. Early detection of COVID-19 hotspots using spatio-temporal data.
    S. Zhu, A. Bukharin, L. Xie, S. Yang, P. Keskinocak, and Y. Xie.
    Minor Revision, IEEE Jounal Selected Topics in Signal Processing (JSTSP)
    Special Issue on Signal Analysis for Detection and Monitoring of Contagious Diseases.
    Conference version presented by ICML 2021 Time Series Workshop (Best Paper Award, Second Place.)
  7. Signal processing challenges and examples for in-situ transmission electron microscopy.
    J. Kacher, Y. Xie, S. P. Voigt, S. Zhu, H. Yuchi, J. Key, S. R. Kalidindi.
    Accepted, IEEE Signal Processing Magazine,
    Special Issue on Signal Processing for Advanced Materials.
  8. On characteristic rank for matrix and tensor completion.
    Alexander Shapiro, Yao Xie, Rui Zhang.
    IEEE Signal Processing Magazine. Vol. 38, No. 2, pp. 125-129. Feb. 2021.
  9. Spatio-temporal point processes with attention for traffic congestion event modeling.
    S. Zhu, R. Ding, P. Van Hentenryck, and Y. Xie.
    IEEE Transactions on Intelligent Transportation Systems, Accepted.
  10. High-resolution spatio-temporal model for county-level COVID-19 activity in the U.S.
    S. Zhu, A. Bukharin, L. Xie, M. Santillana, S. Yang, Y. Xie.
    ACM Transactions on Management Information Systems, Vol. 12, No. 4, December 2021, pp. 1-20.
  11. Imitation learning of spatio-temporal point processes.
    S. Zhu, S. Li, Z. Peng, and Y. Xie.
    IEEE Transcactions on Knowledge and Data Engineering, Accepted.
    (Preliminary results presented at NeurIPS AI for Earth Sciences Workshop, 2020.)
  12. Testing rank of incomplete unimodal matrices.
    Rui Zhang, Junting Chen, Yao Xie, Alexander Shapiro, Urbashi Mitra.
    IEEE Signal Processing Letter, Vol. 28, pp. 877-881, 2021.
  13. Neural tangent kernel maximum mean discrepancy.
    Xiuyuan Cheng, Yao Xie.
    Neurips 2021.
  14. Conformal prediction interval for dynamic time-series.
    Chen Xu and Yao Xie.
    ICML 2021. (Long presentation)
    GitHub
  15. Inferring serial correlation with dynamic backgrounds.
    Song Wei, Yao Xie, Dobromir Rahnev.
    ICML 2021. (Long presentation)
  16. Deep attention point processes with neural spectrum Fourier kernel.
    Shixiang Zhu, Minghe Zhang, Ruyi Ding, and Yao Xie.
    AISTATS 2021. (Oral)
  17. Goodness-of-fit test for mismatched self-exciting processes.
    Song Wei, Shixiang Zhu, Minghe Zhang, and Yao Xie.
    AISTATS 2021.
  18. Balanced districting on grid graphs with provable compactness and contiguity.
    Cyrus Hettle, Shixiang Zhu, Swati Gupta, and Yao Xie.
    A preliminary version appears in FORC 2021.
  19. Sequential adversarial anomaly detection with deep Fourier kernel.
    Shixiang Zhu, Henry Yuchi, Minghe Zhang, Yao Xie.
    ICASSP 2021.
  20. Optimality of graph scanning statistic for online community detection.
    Liyan Xie, and Yao Xie.
    ISIT 2021.
  21. Two-sample test using projected Wasserstein distance: Breaking the curse of dimensionality.
    Jie Wang, Rui Gao, and Yao Xie.
    ISIT 2021.
  22. Data-Driven Optimization for Police Districting in South Fulton, Georgia.
    Shixiang Zhu, Alexander Bukharin, Le Lu, He Wang and Yao Xie.
    KDD Workshop on Data Science for Social Good 2021. (Oral)
  23. Class-conditioned domain generalization via Wasserstein distributional robust optimization.
    Jingge Wang, Yang Li, Liyan Xie, and Yao Xie.
    ICLR 2021, Workshop on robust and reliable machine learning in the real world.
  24. Online high-dimensional change-point detection using topological data analysis.
    Xiaojun Zheng, Simon Mak, Yao Xie.
    ICLR 2021, Workshop on Geometrical and Topological Representation Learning.
  25. Conformal anomaly detection on spatio-temporal observations with missing data.
    Chen Xu and Yao Xie.
    ICML Workshop on Distribution-free Uncertainty Quantification (DFUQ).
  26. Information-guided sampling for low-rank matrix completion.
    Henry Yuchi Shaowu, Simon Mak, Yao Xie.
    ICML 2021 Workshop on Information Theoretic Methods for Rigorous, Responsible, and Reliable Machine Learning. (Further development of earlier work)
  27. Causal graph recovery for sepsis-associated derangements via interpretable Hawkes networks
    Song Wei, Yao Xie, Christopher S. Josef, and Rishikesan Kamaleswaran.
    ICML 2021 Workshop on Interpretable Machine Learning in Healthcare (IMLH).
  28. Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data
    Shixiang Zhu, Alexander Bukharin, Liyan Xie, Shihao Yang, Pinar Keskinocak, and Yao Xie.
    ICML 2021 Time Series Workshop.
    Best Paper Award (Honorable Mention).
  29. Causal Graph and Social Network Analysis for COVID-19.
    Shaoou Chen, Yao Xie, Shihao Yang.
    Asilomar 2021.

2020

  1. Convex parameter recovery for interacting marked processes.
    A. Juditsky, A. Nemirovski, L. Xie, and Y. Xie.
    IEEE Journal on Selected Areas in Information Theory, vol. 1, no. 3, pp. 799-813, Nov. 2020.
  2. Approximation Algorithms for Training One-Node ReLU Neural Networks.
    Santanu Dey, Guanyi Wang, Yao Xie.
    IEEE Transactions on Signal Processing. vol. 68, pp. 6696-6706, 2020.
  3. Uncertainty quantification for inferring Hawkes networks.
    H. Wang, L. Xie, A. Cuozzo, S. Mak, and Y. Xie.
    NeurIPS 2020.
  4. Temporal logic point processes.
    S. Li, L. Wang, R. Zhang, X. Chang, X. Liu, Y. Xie, Y. Qi, L. Song.
    ICML 2020.
  5. Sequential subspace change-point detection.
    Liyan Xie, Yao Xie, George Moustakides.
    Sequential Analysis, 39:3, pp. 307-335, 2020.
    (Finalist of INFORMS QSR Best Student Paper Contest, 2019.)
  6. : An efficient score statistic for spatial-temporal surveillance.
    J. Chen, S.-H. Kim, and Y. Xie.
    Sequential Analysis, 39:4, pp. 563-592, 2020.
    (Finalist of INFORMS QSR Best Student Paper Contest, 2017.)
  7. Adversarial anomaly detection for marked spatio-temporal streaming data.
    S. Zhu, H. Shaowu, Y. Xie.
    ICASSP 2020.
  8. Online community detection by spectral CUSUM.
    M. Zhang, L. Xie and Y. Xie.
    ICASSP 2020.
  9. Sequential vessel trajectory identification using truncated Viterbi algorithm.
    Z. Dong, Y. Yang and Y. Xie.
    ICASSP 2020.
  10. Investigating local oxidation processes in Fe thin films in a water vapor environment by in situ liquid cell TEM.
    J. Key, S. Zhu, C. M. Rouleauc, R. R. Unocic, Y. Xie, J. Kacher.
    Ultramicroscopy.
    Vol. 209, February 2020.

2019

  1. Matrix completion with deterministic pattern - a geometric perspective.
    A. Shapiro, Y. Xie, and R. Zhang.
    IEEE Transactions on Signal Processing, Vol. 67, No. 4, pp. 1088-1103, February 2019.
    An example for how to use ``well-posedness'' condition.
  2. Scan B-statistic for kernel change-point detection.
    S. Li, Y. Xie, H. Dai, and L. Song.
    Sequential Analysis, Vol. 38, No. 4, pp. 503-544.
    Finalist of INFORMS QSR Best Student Paper Contest, 2018.
  3. Sketching for sequential change-point detection.
    Y. Cao, A. Thompson, M. Wang, and Y. Xie.
    EURASIP Journal on Advances in Signal Processing. 2019:42.
  4. Distributed change detection based on average consensus.
    Q. Liu, Rui Zhang, and Y. Xie.
    Springer Proceedings in Mathematics and Statistics, 2019.
  5. To Reduce or Not To Reduce: A Study on Spatio-Temporal Surveillance.
    J. Chen, C. Park, S.-H. Kim, and Y. Xie.
    Environmental and Ecological Statistics (EEST). Vol. 26, No. 3, pp. 217-238 September 2019.
  6. Nearly optimal adaptive procedure with change detection for piecewise-stationary bandit.
    Y. Cao, Z. Wen, B. Kveton, Y. Xie.
    AISTATS 2019.
  7. Learning transformation synchronization
    X. Huang, Z. Liang, X. Zhou, Y. Xie, L. Guibas, Q. Huang.
    CVPR 2019.
  8. Crime event embedding with unsupervised feature selection.
    S. Zhu and Y. Xie.
    ICASSP 2019.
  9. Statistical rank selection for incomplete low-rank matrices.
    R. Zhang, A. Shapiro, and Y. Xie.
    ICASSP 2019.
    (Best Student Paper Award)
  10. Low-rank matrix completion for distributed ambient noise imaging systems.
    D. Xu, B. Song, R. Zhang, Y. Xie, S.-M. Wu, F.-C. Lin, W. Song.
    Asilomar 2019.
  11. Asynchronous multi-sensor change-point detection for seismic tremors.
    L. Xie, Y. Xie, and G. V. Moustakides.
    ISIT 2019.

2018

  1. Robust hypothesis testing using Wasserstein uncertainty sets.
    R. Gao, L. Xie, Y. Xie, H. Xu. NeurIPS 2018 (Spotlight presentation; top 3.5%).
  2. Learning temporal point processes via reinforcement learning.
    S. Li, S. Xiao, S. Zhu, N. Du, Y. Xie, and L. Song.
    NeurIPS 2018 (Spotlight).
  3. Maximum entropy low-rank matrix recovery.
    S. Mak and Y. Xie.
    IEEE Journal of Selected Topics in Signal Processing. Vol. 12, No. 5, pp. 886-901. Oct. 2018.
    A preliminary version presented at ISIT 2018.
  4. First-order optimal sequential subspace change-point detection.
    L. Xie, G. Moustakides, Y. Xie.
    GlobalSIP 2018.
  5. On the effect of model mismatch for sequential Info-Greedy Sensing.
    R. Song, Y. Xie and S. Pokutta.
    EURASIP Journal on Advances in Signal Processing, 2018:32, June 2018.
  6. Change detection via affine and quadratic detectors.
    Y. Cao, V. Guigues, A. Juditsky, A. Nemirovski, and Y. Xie.
    Electronic Journal of Statistics. Vol. 12, No. 1, pp. 1-57, 2018.
  7. Sequential change-point detection via online convex optimization. (pdf)
    Y. Cao, L. Xie, Y. Xie and H. Xu.
    Entropy, Vol. 20, No.2, 108. Special Issue on "Information Theory in Machine Learning and Data Science".
  8. Nearly second-order asymptotic optimality of sequential change-point detection with one-sample updates.
    Y. Cao, L. Xie, Y. Xie and H. Xu.
    AISTATS 2018.
  9. Sequential Adaptive Detection for In-Situ Transmission Electron Microscopy (TEM).
    Y. Cao, S. Zhu, Y. Xie, J. Key, J. Kacher, R. R. Unocic, C. M. Rouleau.
    ICASSP 2018.
  10. Crime incidents embedding using restricted Boltzmann machines.
    S. Zhu and Y. Xie.
    ICASSP 2018.
  11. Communication efficient signal detection for distributed ambient noise imaging.
    L. Xie, Y. Xie, S.-M. Wu, F.-C. Lin, W. Song.
    Asilomar 2018.
  12. Sequential graph scanning statistic for change-point detection.
    X. He, Y. Xie, S.-M. Wu, F.-C. Lin.
    Asilomar 2018.

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. Sequential detection of low-rank changes using extreme eigenvalues.
    L. Xie and Y. Xie.
    CAMSAP 2017.
  3. Robust sequential change-point detection by convex optimization.
    Y. Cao, and Y. Xie.
    International Symposium on Information Theory (ISIT) 2017.
  4. 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.
  5. Real-Time Ambient Noise Subsurface Imaging in Distributed Sensor Networks. M. Valero, J. Clemente, G. Kamath, Y. Xie, F.-C. Lin, and W. Song.
    2017 IEEE International Conference on Smart Computing (SMARTCOMP).

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.
    NeurIPS 2015.
  8. Categorical matrix completion.
    Y. Cao and Y. Xie.
    CAMSAP 2015.
  9. Supervised online subspace tracking.
    Y. Xie, Q. Li, and S. Pokutta.
    Asilomar 2015.
  10. Multi-sensor gradual change detection.
    Y. Cao and Y. Xie.
    Asilomar 2015.
  11. Sequential sensing with model mismatch.
    R. Song, Y. Xie and S. Pokutta.
    ISIT 2015
  12. Poisson matrix completion.
    Y. Cao and Y. Xie,
    ISIT 2015.

2014 and earlier

  1. Info-greedy sequential adaptive compressed sensing.
    G. Braun, S. Pokutta, and Y. Xie.
    Allerton 2014.
  2. Fast algorithm for low-rank matrix recovery in Poisson noise.
    Y. Cao and Y. Xie.
    GlobalSIP 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.
  4. 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.
  5. 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.
  6. 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.
  7. Change-point detection for high-dimensional data.
    Y. Xie, and R. Willett, Asilomar Conference on Signals, Systems, and Computers, Nov. 2013.
  8. 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.
  9. Online logistic regression on manifolds.
    Y. Xie, R. Willett, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Nov. 2012.
  10. Spectrum opportunity detection with weak and correlated signals.
    Y. Xie, D. Siegmund, IEEE annual Asilomar conference on Signals, Systems, and Communications, Nov. 2012.
  11. Parallel mixture procedure for multi-sensor change-point detection .
    Y. Xie and D. Siegmund, Joint Statistical Meetings, Aug. 2012.
  12. Compressive demodulation of mutually interfering signals.
    Yuejie Chi, Yao Xie and Robert Calderbank.
    Conference version appears in SSP 2012.
  13. Multiscale online tracking of manifolds. [Demo].
    Y. Xie, J. Huang, R. Willett, IEEE Statistical Signal Processing Workshop (SSP), Feb. 2012.
  14. 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.
  15. Multi-sensor change-point detection.
    Y. Xie and D. Siegmund, Joint Statistical Meetings, Aug. 2011.
  16. Change-point detection of weak signals: How to use signal correlation.
    Y. Xie and D. Siegmund. Technical Report, 2011.
  17. Reduced-dimension multiuser detection.
    Y. Xie, Y. C. Eldar, A. Goldsmith, 48th Annual Allerton Conference on Communication, Control, and Computing, July 2010.
  18. 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.
  19. 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.
  20. Multihop MIMO relay networks with ARQ. [Presentation], Y. Xie, D. Gunduz, and A. Goldsmith, IEEE Globecom 2009, Communication Symposium.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.)
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. Adaptive WEighting of signals via One Matrix Entity (AWESOME).
    Y. Xie, J. Li and J. Ward, IEEE International Radar Conference 2007, April 2007.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.

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.