Yao Xie

Papers listed by year and by topic.

Google Scholar

Survey paper

Sequential change detection: Classical results and new directions.
Liyan Xie, Shaofeng Zou, Yao Xie, and Venugopal V. Veeravalli.
Accepted with minor revision. IEEE Journal on Selected Areas in Information Theory.

Sequential methods and models

Change-point detection and related

Sequential change detection by optimal weighted l2 divergence.
Liyan Xie and Yao Xie.
IEEE Journal Selected Area in Information Theory, accepted with Minor Revision.

Dynamic pricing in an evolving and unknown marketplace.
Yiwei Chen, Zheng Wen, and Yao Xie. (In revision, Management Science)

Sequential subspace change-point detection.
Liyan Xie, Yao Xie, George Moustakides.
Sequential Analysis, 39:3, pp. 307-335, 2020.
Conference version appears in CAMSAP 2017.
(Finalist of INFORMS QSR Best Student Paper Contest, 2019.)

: An efficient score statistic for spatial-temporal surveillance.
Junzhuo Chen, Seong-Hee Kim, and Yao Xie.
Sequential Analysis, 39:4, pp. 563-592, 2020.
(Finalist of INFORMS QSR Best Student Paper Contest, 2017.)

Sketching for sequential change-point detection.
Yang Cao, Andrew Thompson, Mengdi Wang, and Yao Xie.
EURASIP Journal on Advances in Signal Processing. 2019:42.
Conference version appears in GlobalSIP 2015.

Distributed change detection based on average consensus.
Qinghua Liu, Rui Zhang, and Yao Xie.
Springer Proceedings in Mathematics and Statistics, 2019.

Scan B-statistic for kernel change-point detection.
Shuang Li, Yao Xie, Hanjun Dai, and Le Song.
Sequential Analysis, Vol. 38, No. 4, pp. 503-544, 2019.
Conference version appears in NeurIPS 2015.
Finalist of INFORMS QSR Best Student Paper Contest, 2018.

To Reduce or Not To Reduce: A Study on Spatio-Temporal Surveillance.
Junzhuo Chen, Chuljin Park, Seong-Hee Kim, and Yao Xie.
Environmental and Ecological Statistics (EEST). Vol. 26, No. 3, pp. 217-238 September 2019.

Change detection via affine and quadratic detectors.
Yang Cao, Vincent Guigues, Anatoli Juditsky, Arkadi Nemirovski, and Yao Xie.
Electronic Journal of Statistics. Vol. 12, No. 1, pp. 1-57, 2018.

Sequential change-point detection via online convex optimization.
Yang Cao, Liyan Xie, Yao Xie and Huan Xu.
Entropy, Vol. 20, No.2, 2018. Special Issue on "Information Theory in Machine Learning and Data Science".
Conference version appears in AISTATS 2018.

Multi-sensor slope change detection.
Yang Cao, Yao Xie, and Nagi Gebraeel.
Annals of Operations Research, pp. 1-27, April 2016.

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

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, Feb. 2013.
Conference version appears at SSP 2012.

Sequential change-point approach for community detection.
David Maragoni-Simonsen and Yao Xie.
IEEE Signal Processing Letter, Vol. 22, No. 8, pp. 1035-1039, Aug. 2015.

Sequential adversarial anomaly detection with deep Fourier kernel.
Shixiang Zhu, Henry Yuchi, Minghe Zhang, and Yao Xie.
ICASSP 2021.

Adversarial anomaly detection for marked spatio-temporal streaming data.
Shixiang Zhu, Henry Shaowu, and Yao Xie.
ICASSP 2020.

Online community detection by spectral CUSUM.
Minghe Zhang, Liyan Xie and Yao Xie.
ICASSP 2020.

Nearly optimal adaptive procedure with change detection for piecewise-stationary bandit.
Yang Cao, Zheng Wen, Branislav Kveton, and Yao Xie.

Asynchronous multi-sensor change-point detection for seismic tremors.
Liyan Xie, Yao Xie, and George V. Moustakides.
ISIT 2019.

First-order optimal sequential subspace change-point detection.
Liyan Xie, George Moustakides, and Yao Xie.
GlobalSIP 2018.

Online high-dimensional change-point detection using topological data analysis. Preprint.
Xiaojun Zheng, Simon Mak, Yao Xie.

Optimality of graph scanning statistic for online community detection. Preprint.
Liyan Xie, and Yao Xie.

Spatio-temporal data and point processes

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. In Revision.

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.

Imitation learning of spatio-temporal point processes.
Shixiang Zhu, Shuang Li, Zhigang Peng, and Yao Xie.
IEEE Transcactions on Knowledge and Data Engineering. Accepted.
(Preliminary results presented at NeurIPS AI for Earth Sciences Workshop, 2020.)

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.

Detecting weak changes in dynamic events over networks.
Shuang Li, Yao Xie, Mehrdad Farajtabar, Apurv Verma, and Le Song
IEEE Transactions on Signal and Information Processing over Networks. Vol. 3, No. 2, pp. 346-359, 2017.

Temporal logic point processes.
S. Li, L. Wang, R. Zhang, X. Chang, X. Liu, Y. Xie, Y. Qi, L. Song.
ICML 2020.

Deep attention point processes with neural spectrum Fourier kernel.
Shixiang Zhu, Minghe Zhang, Ruyi Ding, and Yao Xie.
AISTATS 2021 (Oral).

Uncertainty quantification for inferring Hawkes networks.
H. Wang, L. Xie, A. Cuozzo, S. Mak, and Y. Xie.
NeurIPS 2020.

Learning temporal point processes via reinforcement learning.
Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, and Le Song.
NeurIPS 2018 (Spotlight).

Sequential change-point detection for mutually exciting point processes over networks. Preprint.
Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak.

Dynamic time series

Inferring serial correlation with dynamic backgrounds. Preprint.
Song Wei, Yao Xie, Dobromir Rahnev.

Conformal prediction interval for dynamic time-series. Preprint.
Chen Xu and Yao Xie.

Sequential vessel trajectory identification using truncated Viterbi algorithm.
Zheng Dong, Yifei Yang and Yao Xie.
ICASSP 2020.

Hypothesis test

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.

Testing rank of incomplete unimodal matrices.
Rui Zhang, Junting Chen, Yao Xie, Alexander Shapiro, Urbashi Mitra.
IEEE Signal Processing Letter. Accepted with Minor Revision.

Goodness-of-fit test for mismatched self-exciting processes.
Song Wei, Shixiang Zhu, Minghe Zhang, and Yao Xie.

Robust hypothesis testing using Wasserstein uncertainty sets.
Rui Gao, Liyan Xie, Yao Xie, and Huan Xu.
NeurIPS 2018 (Spotlight).

Statistical rank selection for incomplete low-rank matrices.
Rui Zhang, Alexander Shapiro, and Yao Xie.
ICASSP 2019 (Best Student Paper Award).

Two-sample test with kernel projected Wasserstein distance. Preprint.
Jie Wang, Rui Gao, and Yao Xie.

Two-sample test using projected Wasserstein distance: Breaking the curse of dimensionality. Preprint.
Jie Wang, Rui Gao, and Yao Xie.

Low-rank models and sparsity

On characteristic rank for matrix and tensor completion.
Alexander Shapiro, Yao Xie, and Rui Zhang.
IEEE Signal Processing Magazine. Vol. 38, No. 2, pp. 125-129. Feb. 2021.

Matrix completion with deterministic pattern - a geometric perspective.
Alexander Shapiro, Yao Xie, and Rui Zhang.
IEEE Transactions on Signal Processing, Vol. 67, No. 4, pp. 1088-1103, February 2019.

Maximum entropy low-rank matrix recovery.
Simon Mak and Yao 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.

On the effect of model mismatch for sequential Info-Greedy Sensing.
Ruiyang Song, Yao Xie and Sebastian Pokutta.
EURASIP Journal on Advances in Signal Processing, 2018:32, June 2018.
Conference version appears in ISIT 2015.

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

Conference versions appear in ISIT 2015 and GlobalSIP 2014.

Info-Greedy sequential adaptive compressed sensing.
Garbo Braun, Sebastian Pokutta, and Yao Xie.
IEEE Journal Selected Topics in Signal Processing, Vol. 9, No. 4, pp. 601-611, June 2015. (Authors listed alphabetically.)
Conference version appears in Allerton 2015.

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.)

Categorical matrix completion.
Yang Cao and Yao Xie.
CAMSAP 2015.

Bayesian uncertainty quantification for low-rank matrix completion. Preprint.
Henry Shaowu Yuchi, Simon Mak, and Yao Xie.

Tensor kernel recovery for spatio-temporal Hawkes processes. Preprint.
Heejune Sheen, Xiaonan Zhu, Yao Xie.

Active matrix completion with uncertainty quantification. Preprint.
S. Mak and Y. Xie.

Machine learning theory and methods

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.

Learning transformation synchronization.
Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas Guibas, and Qixing Huang.
CVPR 2019.

Distributionally robust k-nearest neighbors. Preprint.
Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, and Yao Xie.


Police data modeling and decision making

Balanced districting on grid graphs with provable compactness and contiguity. Preprint.
Cyrus Hettle, Shixiang Zhu, Swati Gupta, and Yao Xie.

Data-driven optimization for police zone design. Preprint.
Shixiang Zhu, He Wang, and Yao Xie.

Crime linkage detection by spatial-temporal-textual point processes. Preprint.
Shixiang Zhu, and Yao Xie.

Crime event embedding with unsupervised feature selection.
Shixiang Zhu, and Yao Xie.
ICASSP 2019.

Crime incidents embedding using restricted Boltzmann machines.
Shixiang Zhu, and Yao Xie.
ICASSP 2018.

Power systems

Solar radiation anomaly events modeling using spatio-temporal mutually interactive processes.
Minghe Zhang, Chen Xu, Andy Sun, Feng Qiu, Yao Xie.

Online detection of a cascade of multiple change-points. Preprint.
Rui Zhang, Rui Yao, Yao Xie, and Feng Qiu.

PMU-based online change-point detection of imbalance in three-phase power systems.
Tirza Routtenberg and Yao Xie.
IEEE PES Innovative Smart Grid Technologies Conference, 2017.

PMU based detection of imbalance in three-phase power systems.
Tirza Routtenberg, Yao Xie, Rebecca Willett and Lang Tong.
IEEE Transactions on Power Systems, Vol. 30, No. 4, pp. 1966 - 1976, July 2015.

Wireless communications

Compressive demodulation of mutually interfering signals.
Yuejie Chi, Yao Xie and Robert Calderbank.
Conference version appears in SSP 2012.

Reduced-dimension multiuser detection.
Yao Xie, Yonina C. Eldar and Andrea Goldsmith.
IEEE Transactions on Information Theory, Vol. 59, No. 6, pp. 3858-3874, June 2013.
Conference version appears in Alleron 2010, and ICC 2010.
Nominated for Best Student Paper Award at ICC 2010.

Dynamic spectrum management with the competitive market model.
Yao Xie, Benjamin Armbruster and Yao Ye.
IEEE Transactions on Signal Processing, Vol. 58, No. 4, April 2010, pp. 2442-2446.

MIMO transmit beamforming under uniform elemental power constraint.
Xiayu Zheng, Yao Xie, Jian Li, and Peter Stoica.
IEEE Transactions on Signal Processing 55 (11), pp. 5395-5406, 2007.

Diversity-multiplexing-delay tradeoffs in MIMO multi-hop networks with ARQ.
Y. Xie and A. Goldsmith.
ISIT 2010.

Multihop MIMO relay networks with ARQ. [Presentation], Y. Xie, D. Gunduz, and A. Goldsmith.
IEEE Globecom 2009, Communication Symposium.

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.

Signal processing for imaging

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.

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.

Sequential Adaptive Detection for In-Situ Transmission Electron Microscopy (TEM).
Yang Cao, Shixiang Zhu, Yao Xie, Jordan Key, Josh Kacher, R. R. Unocic, and C. M. Rouleau.
ICASSP 2018.

Communication efficient signal detection for distributed ambient noise imaging.
Liyan Xie, Yao Xie, Sin-Mei Wu, Fan-Chi Lin, WenZhan Song.
Asilomar 2018.

Real-time ambient noise subsurface imaging in distributed sensor networks.
Maria Valero, Jose Clemente, Goutham Kamath, Yao Xie, Fan-Chi Lin, and WenZhan Song.
IEEE International Conference on Smart Computing (SMARTCOMP), 2017.

Seismic event picking via sequential change-point detection.
Shuang Li, Yang Cao, Christina Leamon, Yao Xie, Lei Shi, and WenZhan Song.
Allerton Conference 2016.

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.

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.

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.
Conference version appears in Asilomar 2006.

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.
Conferen version appears in Asilomar 2005.
First Place in Best Student Paper Competition.

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.

Radar signal processing

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.

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.)

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.


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.

Data-driven threshold machine: Scan statistics, change-point detection, and extreme bandits. Preprint.
S. Li, Y. Xie, and L. Song.

Sequential graph scanning statistic for change-point detection.
Xi He, Yao Xie, Sin-Mei Wu, Fan-Chi Lin.
Asilomar 2018.

Robust sequential change-point detection by convex optimization.
Yang Cao, and Yao Xie.
ISIT 2017.

Sequential low-rank change detection.
Yao Xie, and Lee Seversky.
Allerton Conference 2016.

Dynamic change-point detection using correlation networks.
Shanshan Cao, and Yao Xie.
Asilomar Conference 2016.

Supervised online subspace tracking.
Y. Xie, Q. Li, and S. Pokutta.
Asilomar 2015.

Multi-sensor gradual change detection.
Y. Cao and Y. Xie.
Allerton 2015.

Online logistic regression on manifolds.
Y. Xie, R. Willett
ICASSP 2012.

Spectrum opportunity detection with weak and correlated signals.
Y. Xie, D. Siegmund
Asilomar, 2012.

Compressive demodulation of mutually interfering signals.
Y. Xie, Y. Chi, L. Applebaum, R. Calderbank.
SSP 2012.

Change-point detection of weak signals: How to use signal correlation. Preprint
Y. Xie and D. Siegmund.


Statistical signal detection with multi-sensor and sparsity [PDF]. Ph. D. dissertation, Stanford University, Nov. 2011.

Adaptive and Robust Techniques (ART) for thermoacoutic tomography [PDF]. M. Sc. Thesis, University of Florida, May 2006.

HiMCAN: a novel DHT based content addressable P2P network, B.Sc. Thesis (Best Thesis Award). University of Science and Technology of China, June 2004.