Yao Xie

Google Scholar

Papers on flow-based generative models

Papers on change-point detection

Papers on high-dimensional hypothesis testing

Papers on time series and conformal prediction

Papers on point processes and spatio-temporal models

Selected Publications

Kernel two-sample tests for manifold data.
Xiuyuan Cheng, Yao Xie.
Bernoulli 2024, Vol. 30, No. 4, 2572-2597.

Conformal prediction for multi-dimensional time series by ellipsoidal sets.
Chen Xu, Hanyang Jiang, Yao Xie.
ICML 2024 (Spotlight, top 3.5%).

Flow-based distributionally robust optimization.
Chen Xu, Jonghyeok Lee, Xiuyuan Cheng, Yao Xie.
IEEE Journal on Selected Areas in Information Theory (JSAIT). 2024. Vol. 5. pp. 62-77.
Preliminary version presented in NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning.

Convergence of flow-based generative models via proximal gradient descent in Wasserstein space.
Xiuyuan Cheng, Jianfeng Lu, Yixin Tan, and Yao Xie. (Authors listed alphabetically.)
IEEE Transactions on Information Theory. 2024. Vol. 70, No. 11. pp. 8087-8106.

Normalizing flow neural networks by JKO scheme. (GitHub).
Chen Xu, Xiuyuan Cheng, Yao Xie.
NeurIPS 2023 (Spotlight).

Generalized generalized linear models: Convex estimation and online bounds.
Anatoli Juditsky, Arkadi Nemirovski, Yao Xie, Chen Xu. (Authors listed alphabetically.) 2023.

Spatio-temporal point processes with deep non-stationary kernels.
Zheng Dong, Xiuyuan Cheng, Yao Xie.
ICLR 2023.

Conformal prediction for time-series.
Chen Xu, Yao Xie.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. Vol. 45, No. 10. pp. 11575 - 11587.
Conference version published in ICML 2021 (Long presentation). GitHub
Algorithm incorporated in MAPIE module for scikit-learn in Python.
Implemented in AWS's Library for Uncertainty Quantification Fortuna.
Medium coverage Demystifying EnbPI: Mastering Conformal Prediction Forecasting.

Window-limited CUSUM for sequential change detection.
Liyan Xie, George V. Moustakides, Yao Xie.
IEEE Transactions on Information Theory. Vol. 69, No. 9, pp. 5990-6005. 2023.

Crime linkage detection by spatial-temporal-textual point processes.
Shixiang Zhu, Yao Xie.
Annals of Applied Statistics. Vol. 16, No. 2, pp. 1151-1170. 2022.
Selected to be presented in "The Best of AOAS" Session at JSM 2022, JSM 2023.

Goodness-of-fit tests on manifolds.
Alexander Shapiro, Yao Xie, 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."

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

Scan B-statistic for kernel change-point detection.
Shuang Li, Yao Xie, Hanjun Dai, Le Song.
Sequential Analysis, Vol. 38, No. 4, pp. 503-544. 2019.
Finalist, QSR Best Student Paper Competition, 2018.

Robust hypothesis testing with Wasserstein uncertainty sets.
Rui Gao, Liyan Xie, Yao Xie.
Conference version appears in NeurIPS 2018 (Spotlight).
INFORMS Computing Society (ICS) Student Paper Award, Runner Up, 2019.

Sequential change-point detection via online convex optimization. (pdf)
Yang Cao, Liyan Xie, Yao Xie, Huan 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, Yao Xie.
IEEE Transactions on Signal Processing, Vol. 64, No. 6, pp. 1609-1620, 2016.

On group coherence of frames.
Robert Calderbank, Andrew Thompson, 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, Andrea Goldsmith.
IEEE Transactions on Information Theory, Vol. 59, No. 6, pp. 3858-3874, 2013.

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

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

On probing signal design for MIMO radar.
Peter Stoica, Jian Li, Yao Xie.
IEEE Transactions on Signal Processing, vol. 55, No. 8, pp. 4151-4161, Aug. 2007.
(Nominated for SPS best paper award.)

Preprints

1. Distributionally robust optimization via iterative algorithms in continuous probability spaces.
   Linglingzhi Zhu, Yao Xie.
2. Point processes with event time uncertainty.
   Xiuyuan Cheng, Tingnan Gong, Yao Xie.
3. Spatial conformal inference through localized quantile regression.
   Hanyang Jiang, Yao Xie.
4. Spatio-temporal conformal prediction for power outage data.
   Hanyang Jiang, Yao Xie, Feng Qiu.
5. Annealing flow generative model towards sampling high-dimensional and multi-modal distributions.
   Dongze Wu, Yao Xie.
6. Local Flow Matching generative models.
   Chen Xu, Xiuyuan Cheng, Yao Xie.
7. Posterior sampling via Langevin dynamics based on generative priors.
   Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng.
8. Higher-criticism for sparse multi-sensor change-point detection.
   Tingnan Gong, Alon Kipnis, Yao Xie. (Authors alphabetical order.)
9. Spatio-temporal-network point processes for modeling crime events with landmarks.
   Zheng Dong, Jorge Mateu, Yao Xie.
10. Multi-agent reinforcement learning for joint police patrol and dispatch.
    Matthew Repasky, He Wang, Yao Xie.
11. Transformer conformal prediction for time series. (Github)
    Junghwan Lee, Chen Xu, Yao Xie.
    Preliminary version appears in 2nd ICML 2024 Workshop on Structured Probabilistic Inference & Generative Modeling.
12. Regularization for adversarial robust learning.
    Jie Wang, Rui Gao, Yao Xie.
    Winner of the 18th INFORMS DMDA Workshop Best Paper Competition Award, 2023.
13. Statistical and computational guarantees of kernel max-sliced Wasserstein distances.
    Jie Wang, March Boedihardjo, Yao Xie.
    Finalist, INFORMS Data Mining Society Best Student Paper Competition, 2024.
14. Generalized generalized linear models: Convex estimation and online bounds.
    Anatoli Juditsky, Arkadi Nemirovski, Yao Xie, Chen Xu. (Authors listed alphabetically.)
15. Detecting algorithmic bias in medical AI-models.
    Jeffrey Smith, Andre Holder, Rishikesan Kamaleswaran, Yao Xie.
16. Online kernel CUSUM for change-point detection.
    Song Wei, Yao Xie.
    In revision, Journal of the Royal Statistical Society: Series B.
    Github.
17. Deep graph kernel point processes.
    Zheng Dong, Matthew Repasky, Xiuyuan Cheng, Yao Xie.
    In revision, Journal of Computational and Graphical Statistics (JCGS).
    Spotlight Paper at Temporal Graph Learning Workshop @ NeurIPS 2023 (Long Paper).
18. Neural network-based CUSUM for online change-point detection.
    Tingnan Gong, Junghwan Lee, Xiuyuan Cheng, Yao Xie.
    Preliminar version appears in ICASSP 2023.
19. An alternative approach to train neural networks using monotone variational inequality. (GitHub)
    Chen Xu, Xiuyuan Cheng, Yao Xie.
    Preliminary version presented at OPT NeurIPS 2023 Workshop.
20. Generalized hypercube queuing models with overlapping service regions.
    Shixiang Zhu, Wenqian Xing, Yao Xie.
    In revision, Transportation Science.
    Github.
21. Variable selection for kernel two-sample tests.
    Jie Wang, Santanu S. Dey, Yao Xie.
    Runner-Up, INFORMS ICS Student Paper Award, 2024.
22. Crime hot-spot modeling via topic modeling and relative density estimation.
    Jonathan Zhou, Sarah Huestis-Mitchell, Xiuyuan Cheng, Yao Xie.
    Preliminary version presented at 18th INFORMS DMDA Workshop (Oral), 2023.
23. Assessing electricity service unfairness with transfer counterfactual learning.
    Song Wei, Xiangrui Kong, Alinson Santos Xavier, Shixiang Zhu, Yao Xie, Feng Qiu.
    Preliminary version presented at NeurIPS 2023 Workshop on Causal Representation Learning.
24. Survival analysis with graph-based regularization for predictors.
    Liyan Xie, Xi He, Yao Xie, Pinar Keskinocak.
    In Revision, Statistics in Biosciences.
25. Multi-resolution spatio-temporal prediction with application to wind power generation.
    Zheng Dong, Shixiang Zhu, Hanyu Zhang, Yao Xie, Pascal Van Hentenryck.
26. Tides need STEMMED: A locally operating spatio-temporal mutually exciting point process with dynamic network for improving opioid overdose death prediction.
    Che-Yi Liao, Gian-Gabriel Garcia, Kamran Paynabar, Zheng Dong, Yao Xie, Mohammad S. Jalali.
    Major Revision, Manufacturing and Service Operations Management (MSOM).
    Preliminary version presented at 2023 INFORMS Workshop on Data Science.
    Winner, 2022 SMDM Lee B. Lusted Prize in Quantitative Methods & Theoretical Developments.
27. Learning sinkhorn divergences for supervised change point detection.
    Nauman Ahad, Eva L. Dyer, Keith B. Hengen, Yao Xie, Mark A. Davenport.
28. Solar radiation anomaly events modeling using spatio-temporal mutually interactive processes.
    Minghe Zhang, Chen Xu, Andy Sun, Feng Qiu, Yao Xie.
    Minor Revision, INFORMS Journal on Data Science.
    Conference version presented at INFORMS Conference on Service Science (ICSS 2021).
29. Sinkhorn distributionally robust optimization.
    Jie Wang, Rui Gao, Yao Xie.
    In Revision, Operations Research.

2025

1. Nonlinear time-series embedding by monotone variational inequality.
   Jonathan Y. Zhou, Yao Xie.
   ICLR 2025.
2. Kernel-based optimally weighted conformal prediction intervals.
   Jonghyeok Lee, Chen Xu, Yao Xie.
   ICLR 2025.
3. Computing high-dimensional optimal transport by flow neural networks.
   Chen Xu, Xiuyuan Cheng, Yao Xie.
   AISTATS 2025.
   Preliminary version presented at NeurIPS 2023 Workshop Optimal Transport and Machine Learning.

2024

1. Kernel two-sample tests for manifold data.
   Xiuyuan Cheng, Yao Xie.
   Bernoulli 2024, Vol. 30, No. 4, 2572-2597.
2. Conformal prediction for multi-dimensional time series by ellipsoidal sets.
   Chen Xu, Hanyang Jiang, Yao Xie.
   ICML 2024 (Spotlight).
3. Convergence of flow-based generative models via proximal gradient descent in Wasserstein space.
   Xiuyuan Cheng, Jianfeng Lu, Yixin Tan, and Yao Xie. (Authors listed alphabetically.)
   IEEE Transactions on Information Theory. 2024. Vol. 70, No. 11. pp. 8087-8106.
4. Flow-based distributionally robust optimization.
   Chen Xu, Jonghyeok Lee, Xiuyuan Cheng, Yao Xie.
   IEEE Journal on Selected Areas in Information Theory (JSAIT). 2024. Vol. 5. pp. 62-77.
   Preliminary version presented in NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning.
5. Transfer learning for causal effect estimation.
   Song Wei, Hanyu Zhang, Ronald Moore, Rishikesan Kamaleswaran, Yao Xie.
   Book chapter, Springer Book on Big Data Analysis, Biostatistics and Bioinformatics. 2024.
   (Edited by Yichuan Zhao and Din Chen.)
   Preliminary version appeared in ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023.
6. Atlanta gun violence modeling via nonstationary spatio-temporal point processes.
   Zheng Dong, Yao Xie.
   Invited book chapter, Gun Violence Volume 2024, to be published by CRC Press of Taylor and Frances.
   (Edited by Charles E. Loeffler, Lingzhou Xue, and James L. Rosenberger.)
7. Distribution-free image monitoring with application to battery coating process.
   Tingnan Gong, Di Liu, Heeseon Kim, Seong-Hee Kim, Taeheung Kim, Dongki Lee, and Yao Xie.
   IISE Transactions. Accepted.
8. Generalizing to unseen domains with Wasserstein distributional robustness under limited source knowledge.
   Jingge Wang, Liyan Xie, Yao Xie, Shao-Lun Huang, Yang Li.
   IEEE Journal of Selected Topics in Signal Processing. 2024.
9. Data-adaptive symmetric CUSUM for sequential change detection.
   Nauman Ahad, Mark A. Davenport, Yao Xie.
   Sequential Analysis. 2024. Vol. 43, No. 1. pp 1-27.
10. A graph-prediction-based approach for debiasing underreported data. (Github).
    Hanyang Jiang, Yao Xie.
    ICASSP 2024. (oral)
11. Non-convex robust hypothesis testing using sinkhorn uncertainty sets.
    Jie Wang, Rui Gao, Yao Xie.
    ISIT 2024.
12. Sequential change-point detection: Computation versus statistical performance.
    Haoyun Wang, Yao Xie.
    WIREs Computational Statistics. Vol. 16, No. 1. 2024.
13. Quantifying grid resilience against extreme weather using large-scale customer power outage data.
    Shixiang Zhu, Rui Yao, Yao Xie, Feng Qiu, Yueming (Lucy) Qiu, and Xuan Wu.
Accepted, INFORMS Journal on Data Science.
14. Robust principal component analysis for exponential family distributions.
    Xiaojun Zheng, Simon Mak, Liyan Xie, and Yao Xie.
    Statistical Analysis and Data Mining, 2024. Vol. 17, No. 2.

2023

1. Normalizing flow neural networks by JKO scheme.
   Chen Xu, Xiuyuan Cheng, Yao Xie.
   NeurIPS 2023. (Spotlight)
2. Contextual stochastic bilevel optimization.
   Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn.
   NeurIPS 2023.
3. Sequential predictive conformal inference for time series.(Github)
   Chen Xu, Yao Xie.
   ICML 2023.
4. Granger causal chain discovery for sepsis-associated derangements via multivariate Hawkes processes.
   Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran.
   KDD 2023.
5. Neural Stein critics with staged L2-regularization.
   Matthew Repasky, Xiuyuan Cheng, Yao Xie.
   IEEE Transactions on Information Theory, Vol. 69, No. 11, pp. 7246-7275. 2023.
6. Window-limited CUSUM for sequential change detection.
   Liyan Xie, George V. Moustakides, Yao Xie.
   IEEE Transactions on Information Theory. Vol. 69, No. 9, pp. 5990-6005. 2023.
7. Spectral CUSUM for online network structure change detection.
   Minghe Zhang, Liyan Xie, and Yao Xie.
   IEEE Transactions on Information Theory. Vol. 69, No. 7, pp. 4691-4707. 2023.
8. Causal graph discovery from self and mutually exciting time series.
   Song Wei, Yao Xie, Christopher S. Josef, and Rishikesan Kamaleswaran.
   IEEE Selected Areas in Information Theory (JSAIT). Vol. 4, pp. 747-761. 2023.
9. Conformal prediction for time-series.
   Chen Xu, Yao Xie.
   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. Vol. 45, No. 10. pp. 11575 - 11587.
10. 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.
    Journal of the Royal Statistical Society: Series C (Applied Statistics). May 2023. Vol. 72, No. 2, pp. 368–386.
    Coverage by health.it.analytics and CMU.
11. Sequential adversarial anomaly detection for one-class event data.
    Shixiang Zhu, Henry Yuchi Shaowu, Minghe Zhang, Yao Xie.
    INFORMS Journal on Data Sciences. Nov. 2023. No. 2, Vol. 1. pp. 45-59.
    Conference version appeared in ICASSP 2020.
12. Spatio-temporal wildfire prediction using multi-modal data.
    Chen Xu, Daniel A. Zuniga Vazquez, Rui Yao, Feng Qiu, Yao Xie.
    IEEE Selected Areas in Information Theory (JSAIT). May 2023. Vol. 4, pp. 302-313.
13. Sequential change-point detection for mutually exciting point processes over networks.
    Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak.
    Technometrics, Vol. 65, No. 1, pp. 44-56, 2023.
14. PERCEPT: A new online change-point detection method using topological data analysis.
    Xiaojun Zheng, Simon Mak, Liyan Xie, and Yao Xie.
    Technometrics. Vol. 65, No. 2, pp. 162-178. 2023.
    Finalist, INFORMS 2022 Data Mining Best Paper Competition Award (Student Track).
15. Online score statistics for detecting clustered change in network point processes.
    Rui Zhang, Haoyun Wang, Yao Xie.
    Sequential Analysis. 42:1, pp. 70-89. 2023.
16. A manifold two-sample test study: Integral probability metric with neural networks.
    Jie Wang, Minshuo Chen, Tuo Zhao, Wenjing Liao, Yao Xie.
    Information and Inference: A Journal of the IMA. September 2023. Vol. 12, No. 3.
17. Bayesian uncertainty quantification for low-rank matrix completion.
    Henry Shaowu Yuchi, Simon Mak, and Yao Xie.
    Bayesian Analysis, No. 18, Vol. 2, pp. 491-518, June 2023.
18. Spatio-temporal point processes with deep non-stationary kernels.
    Zheng Dong, Xiuyuan Cheng, Yao Xie.
    ICLR 2023.
19. Training neural networks for sequential change-point detection.
    Junghwan Lee, Yao Xie, Xiuyuan Cheng.
    ICASSP 2023.
20. 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.
    Engineering Optimization, Vol. 33, No. 3, pp. 510-525. 2023.
21. Ambient noise-based weakly supervised manhole localization methods over deployed fiber networks.
    Alexander Bukharin, Shaobo Han, Yuheng Chen, Ming-Fang Huang, Yue-Kai Huang, Yao Xie, and Ting Wang.
    Optics Express. Vol. 31, No. 6, pp. 9591-9607. 2023.
22. Online detection of supply chain network disruptions using sequential change-point detection for Hawkes processes.
    Khurram Yamin, Haoyun Wang, Montreuil Benoit, and Yao Xie.
    9th International Physical Internet Conference (IPIC).
23. Causal structural learning from time series: A convex optimization approach.
    Song Wei, Yao Xie.
    Asilomar 2023.
24. Reliable adaptive recoding for batched network coding with burst-noise channels.
    Jie Wang, Talha Bozkus, Yao Xie, Urbashi Mitra.
    Asilomar 2023.
25. Streaming low-rank matrix data assimilation and change detection.
    Henry Yuchi Shaowu, Matthew Repasky, Yao Xie.
    Asilomar 2023.
26. Power grid faults classification via low-rank tensor modeling.
    Matthew Repasky, Yao Xie, Yichen Zhang, Feng Qiu.
    Asilomar 2023.
27. Novelty detection for election fraud: A case study with agent-based simulation data.
    Khurram Yamin, Nima Jadali, Yao Xie, and Dima Nazzal.
    AI Magazine. 2023. 1-8.
28. Mobile internet quality estimation using self-tuning kernel regression.
    Hanyang Jiang, Yuchi Shaowu, Elizabeth Belding, Ellen Zegura, Yao Xie.
    ICML 2023 Workshop on Data-centric Machine Learning Research (DMLR).
29. Bayesian feasibility determination with multiple constraints.
    Tingnan Gong, Di Liu, Yao Xie, Seong-Hee Kim.
    ICML 2023 Workshop on PAC-Bayes Meets Interactive Learning.

2022

1. Dynamic pricing in an evolving and unknown marketplace.
   Yiwei Chen, Zheng Wen, and Yao Xie.
   Accepted, Management Science.
2. Invertible neural networks for graph prediction. (GitHub)
   Chen Xu, Xiuyuan Cheng, Yao Xie.
   IEEE Journal on Selected Areas in Information Theory (JSAIT). Vol. 3, No. 3, pp. 454-467. Sept. 2022.
   Conference version presented at NeurIPS 2022 Workshop: New Frontiers in Graph Learning.
3. Tensor kernel recovery for spatio-temporal Hawkes processes.
   Heejune Sheen, Xiaonan Zhu, Yao Xie.
   IEEE Transactions on Signal Processing. Vol. 70, pp. 5859-5870. 2022.
4. Crime linkage detection by spatial-temporal-textual point processes.
   Shixiang Zhu, and Yao Xie.
   Annals of Applied Statistics. Vol. 16, No. 2, pp. 1151-1170. 2022.
   
5. Data-driven optimization for police zone design.
   Shixiang Zhu, He Wang, and Yao Xie.
   INFORMS Journal on Applied Analytics: 52, 5, 412-432. 2022.
   
6. Early detection of COVID-19 hotspots using spatio-temporal data.
   Shixiang Zhu, Alexander Bukharin, Liyan Xie, Khurram Yamin, Shihao Yang, Pinar Keskinocak, and Yao Xie.
   IEEE Journal Selected Topics in Signal Processing (JSTSP). Vol. 16, No. 2, pp. 250-260, 2022.
   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.
   Josh Kacher, Yao Xie, Sven P. Voigt, Shixiang Zhu, Henry Yuchi Shaowu, Josh Key, Surya R. Kalidindi.
   IEEE Signal Processing Magazine, Vol. 39, No. 1, pp. 89-103, Jan. 2022.
   Special Issue on Signal Processing for Advanced Materials.
8. Spatio-temporal point processes with attention for traffic congestion event modeling.
   Shixiang Zhu, Ruyi Ding, Pascal Van Hentenryck, and Yao Xie.
   IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 7, pp. 7298 - 7309, July 2022.
9. Imitation learning of spatio-temporal point processes.
   Shixiang Zhu, Shuang Li, Zhigang Peng, and Yao Xie.
   IEEE Transactions on Knowledge and Data Engineering, Vol. 34, No. 11, pp. 5391-5402, November 2022.
   (Preliminary results presented at NeurIPS AI for Earth Sciences Workshop, 2020.)
10. Distribution-free multivariate time-series monitoring with analytically determined control limits.
    Di Liu, Heeseon Kim, Seong-Hee Kim, Taeheung Kim, Dongki Lee, Yao Xie.
    International Journal of Production Research. 2023. Vol. 61, No. 20, pp. 6960-6977.
11. Distributionally robust k-nearest neighbors.
    Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, and Yao Xie.
    NeurIPS, 2022.
12. Improving sepsis prediction model generalization with optimal transport.
    Jie Wang, Ronald Moore, Rishikesan Kamaleswaran, Yao Xie.
    Machine Learning for Heath (ML4H) Symposium, 2022.
13. Two-sample test with kernel projected Wasserstein distance. (GitHub)
    Jie Wang, Rui Gao, Yao Xie.
    AISTATS 2022. (Oral, top 2.6%)
14. Neural spectral marked point processes. (poster)
    Shixiang Zhu, Haoyun Wang, Zheng Dong, Xiuyuan Cheng, Yao Xie.
    ICLR 2022.
15. A data-driven approach to robust hypothesis testing using sinkhorn uncertainty sets.
    Jie Wang, Yao Xie.
    ISIT 2022.
16. Online detection of a cascade of multiple change-points.
    Rui Zhang, Rui Yao, Yao Xie, and Feng Qiu.
    Allerton 2022.
17. Information recovery via matrix completion for piezoresponse force microscopy data.
    Henry Yuchi, Kerisha Williams, Gardy Ligonde, Matthew Repasky, Yao Xie, Nazanin Bassiri-Gharb.
    NeurIPS Workshop on "AI for Accelerated Materials Design," 2022.
18. Conformal prediction set for time-series.
    Chen Xu, Yao Xie.
    ICML Workshop on Distribution-Free Uncertainty Quantification, 2022.
19. Online critical-state detection of sepsis among ICU patients using Jensen-Shannon divergence.
    Jefferey R. Smith Jr., Yao Xie, Christopher Josef, Rishikesan Kamaleswaran.
    AMIA 2022 Annual Symposium. (First Pace, Student Paper Competition.)

2021

1. 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 (JSAIT). Vol. 2, No. 2, pp. 494-514, 2021.
2. 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.
3. Sequential change detection by optimal weighted l₂ divergence.
   Liyan Xie and Yao Xie.
   IEEE Journal on Selected Areas in Information Theory (JSAIT). Vol. 2, No. 2, pp. 747-761, 2021.
4. Time-series surface resistivity data with change-point detection: Evaluating pozzolanicity under standard and accelerated curing.
   Renee T. Rios, Francesca Lolli, Liyan Xie, Yao Xie, Kimberley Kurtis.
   Cement and Concrete Research, July 2021.
5. 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.
6. High-resolution spatio-temporal model for county-level COVID-19 activity in the U.S..
   Shixiang Zhu, Alexander Bukharin, Liyan Xie, Mauricio Santillana, Shihao Yang, Yao Xie.
   ACM Transactions on Management Information Systems, Vol. 12, No. 4, pp. 1-20, December 2021.
7. 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.
8. Neural tangent kernel maximum mean discrepancy.
   Xiuyuan Cheng, Yao Xie.
   Neurips 2021.
9. Conformal prediction for dynamic time-series.
   Chen Xu and Yao Xie.
   ICML 2021. (Long presentation)
   (GitHub)
10. Inferring serial correlation with dynamic backgrounds.
    Song Wei, Yao Xie, Dobromir Rahnev.
    ICML 2021. (Long presentation)
11. Deep attention point processes with neural spectrum Fourier kernel.
    Shixiang Zhu, Minghe Zhang, Ruyi Ding, and Yao Xie.
    AISTATS 2021. (Oral)
12. Goodness-of-fit test for mismatched self-exciting processes.
    Song Wei, Shixiang Zhu, Minghe Zhang, and Yao Xie.
    AISTATS 2021.
13. 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.
14. Sequential adversarial anomaly detection with deep Fourier kernel.
    Shixiang Zhu, Henry Yuchi, Minghe Zhang, Yao Xie.
    ICASSP 2021.
15. Optimality of graph scanning statistic for online community detection.
    Liyan Xie, and Yao Xie.
    ISIT 2021.
16. Two-sample test using projected Wasserstein distance: Breaking the curse of dimensionality.
    Jie Wang, Rui Gao, and Yao Xie.
    ISIT 2021.
17. 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)
18. 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.
19. 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.
20. Conformal anomaly detection on spatio-temporal observations with missing data.
    Chen Xu and Yao Xie.
    ICML Workshop on Distribution-free Uncertainty Quantification (DFUQ). 2021.
21. 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)
22. 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).
23. 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).
24. Causal graph and social network analysis for the spread of COVID-19 from self-reported indicator data.
    Shaoou Chen, Yao Xie, Shihao Yang.
    Asilomar 2021.

2020

1. Convex parameter recovery for interacting marked processes.
   Anatoli Juditsky, Alexander Nemirovski, Liyan Xie, and Yao Xie.
   IEEE Journal on Selected Areas in Information Theory (JSAIT), 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.
   Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, and Yao 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 thermoacoustic 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.