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ORCIDYao Xie 0002
Person information
- affiliation: Georgia Institute of Technology, School of Industrial and Systems Engineering, Atlanta, GA, USA
- affiliation (PhD 2011): Stanford University, Palo Alto, CA, USA
Other persons with the same name
- Yao Xie — disambiguation page
- Yao Xie 0001 — Shenzhen University, China
- Yao Xie 0003 — University of California, Los Angeles, Electrical and Computer Engineering Department, CA, USA
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2020 – today
- 2024
[j48]Chen Xu
, Jonghyeok Lee, Xiuyuan Cheng, Yao Xie:
Flow-Based Distributionally Robust Optimization. IEEE J. Sel. Areas Inf. Theory 5: 62-77 (2024)- [j47]Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie:
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions. Stat. Anal. Data Min. 17(2) (2024) - [c76]Matthew Repasky, Xiuyuan Cheng, Yao Xie:
Stage-Regularized Neural Stein Critics For Testing Goodness-Of-Fit Of Generative Models. ICASSP 2024: 7255-7259 - [c75]Hanyang Jiang, Yao Xie:
A Graph-Prediction-Based Approach for Debiasing Underreported Data. ICASSP 2024: 9781-9785 - [c74]Chen Xu, Hanyang Jiang, Yao Xie:
Conformal prediction for multi-dimensional time series by ellipsoidal sets. ICML 2024 - [i87]Chen Xu, Hanyang Jiang, Yao Xie:
Conformal prediction for multi-dimensional time series by ellipsoidal sets. CoRR abs/2403.03850 (2024) - [i86]Jie Wang, Rui Gao, Yao Xie:
Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets. CoRR abs/2403.14822 (2024) - [i85]Jie Wang, March Boedihardjo, Yao Xie:
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances. CoRR abs/2405.15441 (2024) - [i84]Jonghyeok Lee, Chen Xu, Yao Xie:
Kernel-based optimally weighted conformal prediction intervals. CoRR abs/2405.16828 (2024) - [i83]Junghwan Lee, Chen Xu, Yao Xie:
Transformer Conformal Prediction for Time Series. CoRR abs/2406.05332 (2024) - [i82]Hanyang Jiang, Elizabeth M. Belding, Ellen Zegure, Yao Xie:
Learning Cellular Network Connection Quality with Conformal. CoRR abs/2407.10976 (2024) - 2023
- [j46]Khurram Yamin, Nima Jadali, Yao Xie, Dima Nazzal:
Novelty detection for election fraud: A case study with agent-based simulation data. AI Mag. 44(3): 255-262 (2023) - [j45]Di Liu, Heeseon Kim, Seong-Hee Kim, Taeheung Kim, Dongki Lee, Yao Xie:
Distribution-free multivariate time-series monitoring with analytically determined control limits. Int. J. Prod. Res. 61(20): 6960-6977 (2023) - [j44]Chen Xu, Yao Xie, Daniel A. Zuniga Vazquez, Rui Yao, Feng Qiu:
Spatio-Temporal Wildfire Prediction Using Multi-Modal Data. IEEE J. Sel. Areas Inf. Theory 4: 302-313 (2023) - [j43]Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran:
Causal Graph Discovery From Self and Mutually Exciting Time Series. IEEE J. Sel. Areas Inf. Theory 4: 747-761 (2023) - [j42]Chen Xu, Yao Xie:
Conformal Prediction for Time Series. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11575-11587 (2023) - [j41]Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak:
Sequential Change-Point Detection for Mutually Exciting Point Processes. Technometrics 65(1): 44-56 (2023) - [j40]Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie:
PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis. Technometrics 65(2): 162-178 (2023) - [j39]Minghe Zhang, Liyan Xie, Yao Xie:
Spectral CUSUM for Online Network Structure Change Detection. IEEE Trans. Inf. Theory 69(7): 4691-4707 (2023) - [j38]Liyan Xie, George V. Moustakides, Yao Xie:
Window-Limited CUSUM for Sequential Change Detection. IEEE Trans. Inf. Theory 69(9): 5990-6005 (2023) - [j37]Matthew Repasky, Xiuyuan Cheng, Yao Xie:
Neural Stein Critics With Staged L 2-Regularization. IEEE Trans. Inf. Theory 69(11): 7246-7275 (2023) - [c73]Jie Wang, Talha Bozkus, Yao Xie, Urbashi Mitra:
Reliable Adaptive Recoding for Batched Network Coding with Burst-Noise Channels. ACSSC 2023: 220-224 - [c72]Matthew Repasky, Yao Xie, Yichen Zhang, Feng Qiu:
Power Grid Faults Classification via Low-Rank Tensor Modeling. ACSSC 2023: 849-853 - [c71]Song Wei, Yao Xie:
Causal Structural Learning from Time Series: A Convex Optimization Approach. ACSSC 2023: 902-909 - [c70]Henry Shaowu Yuchi, Matthew Repasky, Terry Ma, Yao Xie:
Streaming Low-Rank Matrix Data Assimilation and Change Identification. ACSSC 2023: 920-924 - [c69]Junghwan Lee, Yao Xie, Xiuyuan Cheng:
Training Neural Networks for Sequential Change-Point Detection. ICASSP 2023: 1-5 - [c68]Zheng Dong, Xiuyuan Cheng, Yao Xie:
Spatio-temporal point processes with deep non-stationary kernels. ICLR 2023 - [c67]Chen Xu, Yao Xie:
Sequential Predictive Conformal Inference for Time Series. ICML 2023: 38707-38727 - [c66]Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran:
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes. KDD 2023: 2536-2546 - [c65]Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn:
Contextual Stochastic Bilevel Optimization. NeurIPS 2023 - [c64]Chen Xu, Xiuyuan Cheng, Yao Xie:
Normalizing flow neural networks by JKO scheme. NeurIPS 2023 - [i81]Song Wei, Yao Xie:
Causal Structural Learning from Time Series: A Convex Optimization Approach. CoRR abs/2301.11336 (2023) - [i80]Anatoli B. Juditsky, Arkadi Nemirovski, Yao Xie, Chen Xu:
Generalized generalized linear models: Convex estimation and online bounds. CoRR abs/2304.13793 (2023) - [i79]Song Wei, Ronald Moore, Hanyu Zhang, Yao Xie, Rishikesan Kamaleswaran:
Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer. CoRR abs/2305.09126 (2023) - [i78]Chen Xu, Xiuyuan Cheng, Yao Xie:
Optimal transport flow and infinitesimal density ratio estimation. CoRR abs/2305.11857 (2023) - [i77]Zheng Dong, Matthew Repasky, Xiuyuan Cheng, Yao Xie:
Deep graph kernel point processes. CoRR abs/2306.11313 (2023) - [i76]Song Wei, Xiangrui Kong, Sarah A. Huestis-Mitchell, Shixiang Zhu, Yao Xie, Álinson Santos Xavier, Feng Qiu:
Detecting Electricity Service Equity Issues with Transfer Counterfactual Learning on Large-Scale Outage Datasets. CoRR abs/2310.03258 (2023) - [i75]Xiuyuan Cheng, Jianfeng Lu, Yixin Tan, Yao Xie:
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space. CoRR abs/2310.17582 (2023) - [i74]Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn:
Contextual Stochastic Bilevel Optimization. CoRR abs/2310.18535 (2023) - [i73]Chen Xu, Jonghyeok Lee, Xiuyuan Cheng, Yao Xie:
Flow-based Distributionally Robust Optimization. CoRR abs/2310.19253 (2023) - [i72]Hanyang Jiang, Henry Shaowu Yuchi, Elizabeth M. Belding, Ellen Zegura, Yao Xie:
Mobile Internet Quality Estimation using Self-Tuning Kernel Regression. CoRR abs/2311.05641 (2023) - [i71]Jeffrey Smith, Andre L. Holder, Rishikesan Kamaleswaran, Yao Xie:
Detecting algorithmic bias in medical AI-models. CoRR abs/2312.02959 (2023) - 2022
- [j36]Shixiang Zhu, He Wang, Yao Xie:
Data-Driven Optimization for Atlanta Police-Zone Design. INFORMS J. Appl. Anal. 52(5): 412-432 (2022) - [j35]Chen Xu, Xiuyuan Cheng, Yao Xie:
Invertible Neural Networks for Graph Prediction. IEEE J. Sel. Areas Inf. Theory 3(3): 454-467 (2022) - [j34]Shixiang Zhu, Alexander Bukharin, Liyan Xie, Khurram Yamin, Shihao Yang, Pinar Keskinocak, Yao Xie:
Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. IEEE J. Sel. Top. Signal Process. 16(2): 250-260 (2022) - [j33]Josh Kacher, Yao Xie, Sven P. Voigt, Shixiang Zhu, Henry Shaowu Yuchi, Jordan Key, Surya R. Kalidindi:
In Situ Transmission Electron Microscopy: Signal processing challenges and examples. IEEE Signal Process. Mag. 39(1): 89-103 (2022) - [j32]Shixiang Zhu, Ruyi Ding, Minghe Zhang, Pascal Van Hentenryck, Yao Xie:
Spatio-Temporal Point Processes With Attention for Traffic Congestion Event Modeling. IEEE Trans. Intell. Transp. Syst. 23(7): 7298-7309 (2022) - [j31]Shixiang Zhu, Shuang Li, Zhigang Peng, Yao Xie:
Imitation Learning of Neural Spatio-Temporal Point Processes. IEEE Trans. Knowl. Data Eng. 34(11): 5391-5402 (2022) - [j30]Heejune Sheen, Xiaonan Zhu, Yao Xie:
Tensor Kernel Recovery for Discrete Spatio-Temporal Hawkes Processes. IEEE Trans. Signal Process. 70: 5859-5870 (2022) - [c63]Jie Wang, Rui Gao, Yao Xie:
Two-Sample Test with Kernel Projected Wasserstein Distance. AISTATS 2022: 8022-8055 - [c62]Rui Zhang, Yao Xie, Rui Yao, Feng Qiu:
Online Detection of Cascading Change-Points Using Diffusion Networks. Allerton 2022: 1-6 - [c61]Jeffrey Smith, Christopher S. Josef, Yao Xie, Rishikesan Kamaleswaran:
Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence. AMIA 2022 - [c60]Khurram Yamin, Matthew Oswald, Nima Jadali, Yao Xie, Ellen Zegura, Dima Nazzal:
An Unsupervised Density Based Clustering Algorithm to Detect Election Anomalies : Evidence from Georgia's Largest County. COMPASS 2022: 313-323 - [c59]Shixiang Zhu, Haoyun Wang, Zheng Dong, Xiuyuan Cheng, Yao Xie:
Neural Spectral Marked Point Processes. ICLR 2022 - [c58]Jie Wang, Yao Xie:
A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets. ISIT 2022: 3315-3320 - [c57]Jie Wang, Ronald Moore, Yao Xie, Rishikesan Kamaleswaran:
Improving Sepsis Prediction Model Generalization With Optimal Transport. ML4H@NeurIPS 2022: 474-488 - [c56]Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie:
Distributionally robust weighted k-nearest neighbors. NeurIPS 2022 - [i70]Sarah Huestis-Mitchell, Xiuyuan Cheng, Yao Xie:
Police Text Analysis: Topic Modeling and Spatial Relative Density Estimation. CoRR abs/2202.04176 (2022) - [i69]Jie Wang, Yao Xie:
A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets. CoRR abs/2202.04258 (2022) - [i68]Chen Xu, Xiuyuan Cheng, Yao Xie:
Training neural networks using monotone variational inequality. CoRR abs/2202.08876 (2022) - [i67]Jie Wang, Minshuo Chen, Tuo Zhao, Wenjing Liao, Yao Xie:
A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks. CoRR abs/2205.02043 (2022) - [i66]Chen Xu, Xiuyuan Cheng, Yao Xie:
Invertible Neural Networks for Graph Prediction. CoRR abs/2206.01163 (2022) - [i65]Chen Xu, Yao Xie:
Conformal prediction set for time-series. CoRR abs/2206.07851 (2022) - [i64]Matthew Repasky, Xiuyuan Cheng, Yao Xie:
Neural Stein critics with staged L2-regularization. CoRR abs/2207.03406 (2022) - [i63]Jingge Wang, Liyan Xie, Yao Xie, Shao-Lun Huang, Yang Li:
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge. CoRR abs/2207.04913 (2022) - [i62]Junghwan Lee, Yao Xie, Xiuyuan Cheng:
Training Neural Networks for Sequential Change-point Detection. CoRR abs/2210.17312 (2022) - [i61]Zheng Dong, Xiuyuan Cheng, Yao Xie:
Spatio-temporal point processes with deep non-stationary kernels. CoRR abs/2211.11179 (2022) - [i60]Khurram Yamin, Haoyun Wang, Benoît Montreuil, Yao Xie:
Online Detection Of Supply Chain Network Disruptions Using Sequential Change-Point Detection for Hawkes Processes. CoRR abs/2211.12091 (2022) - [i59]Khurram Yamin, Nima Jadali, Dima Nazzal, Yao Xie:
Novelty Detection for Election Fraud: A Case Study with Agent-Based Simulation Data. CoRR abs/2211.16023 (2022) - [i58]Chen Xu, Yao Xie:
Sequential Predictive Conformal Inference for Time Series. CoRR abs/2212.03463 (2022) - [i57]Chen Xu, Xiuyuan Cheng, Yao Xie:
Invertible normalizing flow neural networks by JKO scheme. CoRR abs/2212.14424 (2022) - 2021
- [j29]Vincent Y. F. Tan, Yao Xie:
Editorial. IEEE J. Sel. Areas Inf. Theory 2(2): 492-493 (2021) - [j28]Liyan Xie, Shaofeng Zou, Yao Xie, Venugopal V. Veeravalli:
Sequential (Quickest) Change Detection: Classical Results and New Directions. IEEE J. Sel. Areas Inf. Theory 2(2): 494-514 (2021) - [j27]Liyan Xie, Yao Xie:
Sequential Change Detection by Optimal Weighted ℓ₂ Divergence. IEEE J. Sel. Areas Inf. Theory 2(2): 747-761 (2021) - [j26]Rui Zhang, Junting Chen, Yao Xie, Alexander Shapiro, Urbashi Mitra:
Testing Rank of Incomplete Unimodal Matrices. IEEE Signal Process. Lett. 28: 877-881 (2021) - [j25]Alexander Shapiro, Yao Xie, Rui Zhang:
On Characteristic Rank for Matrix and Tensor Completion [Lecture Notes]. IEEE Signal Process. Mag. 38(2): 125-129 (2021) - [j24]Alexander Shapiro, Yao Xie, Rui Zhang:
Goodness-of-Fit Tests on Manifolds. IEEE Trans. Inf. Theory 67(4): 2539-2553 (2021) - [j23]Shixiang Zhu, Alexander Bukharin, Liyan Xie, Mauricio Santillana, Shihao Yang, Yao Xie:
High-Resolution Spatio-Temporal Model for County-Level COVID-19 Activity in the U.S. ACM Trans. Manag. Inf. Syst. 12(4): 33:1-33:20 (2021) - [c55]Shaoou Chen, Yao Xie, Shihao Yang:
Causal Graph and Social Network Analysis for the Spread of COVID-19 from Self-reported Indicator Data. ACSCC 2021: 1302-1306 - [c54]Shixiang Zhu, Minghe Zhang, Ruyi Ding, Yao Xie:
Deep Fourier Kernel for Self-Attentive Point Processes. AISTATS 2021: 856-864 - [c53]Song Wei, Shixiang Zhu, Minghe Zhang, Yao Xie:
Goodness-of-Fit Test for Mismatched Self-Exciting Processes. AISTATS 2021: 1243-1251 - [c52]Shixiang Zhu, Henry Shaowu Yuchi, Minghe Zhang, Yao Xie:
Sequential Adversarial Anomaly Detection with Deep Fourier Kernel. ICASSP 2021: 3345-3349 - [c51]Song Wei, Yao Xie, Dobromir Rahnev:
Inferring serial correlation with dynamic backgrounds. ICML 2021: 11047-11057 - [c50]Chen Xu, Yao Xie:
Conformal prediction interval for dynamic time-series. ICML 2021: 11559-11569 - [c49]Liyan Xie, Yao Xie:
Optimality of Graph Scanning Statistic for Online Community Detection. ISIT 2021: 386-390 - [c48]Jie Wang, Rui Gao, Yao Xie:
Two-sample Test using Projected Wasserstein Distance. ISIT 2021: 3320-3325 - [c47]Xiuyuan Cheng, Yao Xie:
Neural Tangent Kernel Maximum Mean Discrepancy. NeurIPS 2021: 6658-6670 - [i56]Cyrus Hettle, Shixiang Zhu, Swati Gupta, Yao Xie:
Balanced Districting on Grid Graphs with Provable Compactness and Contiguity. CoRR abs/2102.05028 (2021) - [i55]Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak:
Sequential change-point detection for mutually exciting point processes over networks. CoRR abs/2102.05724 (2021) - [i54]Shixiang Zhu, He Wang, Yao Xie:
Data-Driven Optimization for Police Zone Design. CoRR abs/2104.00535 (2021) - [i53]Shixiang Zhu, Sven P. Voigt, Henry Shaowu Yuchi, Jordan Key, Yao Xie, Josh Kacher, Surya R. Kalidindi:
Harvesting data revolution for transmission electron microscopy (TEM) using signal processing. CoRR abs/2104.08688 (2021) - [i52]Xiuyuan Cheng, Yao Xie:
Kernel MMD Two-Sample Tests for Manifold Data. CoRR abs/2105.03425 (2021) - [i51]Shixiang Zhu, Alexander Bukharin, Liyan Xie, Shihao Yang, Pinar Keskinocak, Yao Xie:
Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. CoRR abs/2106.00072 (2021) - [i50]Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran:
Inferring Granger Causality from Irregularly Sampled Time Series. CoRR abs/2106.02600 (2021) - [i49]Xiuyuan Cheng, Yao Xie:
Neural Tangent Kernel Maximum Mean Discrepancy. CoRR abs/2106.03227 (2021) - [i48]Shixiang Zhu, Haoyun Wang, Xiuyuan Cheng, Yao Xie:
Neural Spectral Marked Point Processes. CoRR abs/2106.10773 (2021) - [i47]Jingge Wang, Yang Li, Liyan Xie, Yao Xie:
Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization. CoRR abs/2109.03676 (2021) - [i46]Jie Wang, Rui Gao, Yao Xie:
Sinkhorn Distributionally Robust Optimization. CoRR abs/2109.11926 (2021) - 2020
- [j22]Anatoli B. Juditsky, Arkadi Nemirovski, Liyan Xie, Yao Xie:
Convex Parameter Recovery for Interacting Marked Processes. IEEE J. Sel. Areas Inf. Theory 1(3): 799-813 (2020) - [j21]Santanu S. Dey, Guanyi Wang, Yao Xie:
Approximation Algorithms for Training One-Node ReLU Neural Networks. IEEE Trans. Signal Process. 68: 6696-6706 (2020) - [c46]Minghe Zhang, Liyan Xie, Yao Xie:
Online Community Detection by Spectral Cusum. ICASSP 2020: 3402-3406 - [c45]Zheng Dong, Yifei Yang, Yao Xie:
Sequential Vessel Trajectory Identification Using Truncated Viterbi Algorithm. ICASSP 2020: 3792-3796 - [c44]Shixiang Zhu, Henry Shaowu Yuchi, Yao Xie:
Adversarial Anomaly Detection for Marked Spatio-Temporal Streaming Data. ICASSP 2020: 8921-8925 - [c43]Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song:
Temporal Logic Point Processes. ICML 2020: 5990-6000 - [c42]Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie:
Uncertainty Quantification for Inferring Hawkes Networks. NeurIPS 2020 - [i45]Shixiang Zhu, Minghe Zhang, Ruyi Ding, Yao Xie:
Deep Attention Spatio-Temporal Point Processes. CoRR abs/2002.07281 (2020) - [i44]Anatoli B. Juditsky, Arkadi Nemirovski, Liyan Xie, Yao Xie:
Convex Recovery of Marked Spatio-Temporal Point Processes. CoRR abs/2003.12935 (2020) - [i43]Shixiang Zhu, Ruyi Ding, Minghe Zhang, Pascal Van Hentenryck, Yao Xie:
Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling. CoRR abs/2005.08665 (2020) - [i42]Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie:
Distributionally Robust $k$-Nearest Neighbors for Few-Shot Learning. CoRR abs/2006.04004 (2020) - [i41]Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie:
Uncertainty Quantification for Inferring Hawkes Networks. CoRR abs/2006.07506 (2020) - [i40]Song Wei, Shixiang Zhu, Minghe Zhang, Yao Xie:
Goodness-of-Fit Test for Self-Exciting Processes. CoRR abs/2006.09439 (2020) - [i39]Jie Wang, Rui Gao, Yao Xie:
Two-sample Test using Projected Wasserstein Distance: Breaking the Curse of Dimensionality. CoRR abs/2010.11970 (2020)
2010 – 2019
- 2019
- [j20]Yang Cao, Andrew Thompson, Meng Wang, Yao Xie:
Sketching for sequential change-point detection. EURASIP J. Adv. Signal Process. 2019: 42 (2019) - [j19]Alexander Shapiro, Yao Xie, Rui Zhang:
Matrix Completion With Deterministic Pattern: A Geometric Perspective. IEEE Trans. Signal Process. 67(4): 1088-1103 (2019) - [c41]Danye Xu, Bingqing Song, Yao Xie, Sin-Mei Wu, Fan-Chi Lin, WenZhan Song:
Low-Rank Matrix Completion for Distributed Ambient Noise Imaging Systems. ACSSC 2019: 1059-1065 - [c40]Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie:
Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit. AISTATS 2019: 418-427 - [c39]Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas J. Guibas, Qixing Huang:
Learning Transformation Synchronization. CVPR 2019: 8082-8091 - [c38]Rui Zhang, Alexander Shapiro, Yao Xie:
Statistical Rank Selection for Incomplete Low-rank Matrices. ICASSP 2019: 2912-2916 - [c37]Shixiang Zhu, Yao Xie:
Crime Event Embedding with Unsupervised Feature Selection. ICASSP 2019: 3922-3926 - [c36]Liyan Xie, Yao Xie, George V. Moustakides:
Asynchronous Multi-Sensor Change-Point Detection for Seismic Tremors. ISIT 2019: 787-791 - [i38]Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas J. Guibas, Qixing Huang:
Learning Transformation Synchronization. CoRR abs/1901.09458 (2019) - [i37]Shixiang Zhu, Yao Xie:
Crime Linkage Detection by Spatio-Temporal-Textual Point Processes. CoRR abs/1902.00440 (2019) - [i36]Shixiang Zhu, Shuang Li, Yao Xie:
Reinforcement Learning of Spatio-Temporal Point Processes. CoRR abs/1906.05467 (2019) - [i35]Alexander Shapiro, Yao Xie, Rui Zhang:
Goodness-of-fit tests on manifolds. CoRR abs/1909.05229 (2019) - [i34]Minghe Zhang, Liyan Xie, Yao Xie:
Online Community Detection by Spectral CUSUM. CoRR abs/1910.09083 (2019) - [i33]Shixiang Zhu, Henry Shaowu Yuchi, Yao Xie:
Adversarial Anomaly Detection for Marked Spatio-Temporal Streaming Data. CoRR abs/1910.09161 (2019) - [i32]Rui Zhang, Rui Yao, Yao Xie, Feng Qiu:
Quickest detection of cascading failure. CoRR abs/1911.05610 (2019) - 2018
- [j18]Yang Cao, Yao Xie, Nagi Gebraeel:
Multi-sensor slope change detection. Ann. Oper. Res. 263(1-2): 163-189 (2018) - [j17]Ruiyang Song, Yao Xie, Sebastian Pokutta:
On the effect of model mismatch for sequential Info-Greedy Sensing. EURASIP J. Adv. Signal Process. 2018: 32 (2018) - [j16]Yang Cao, Liyan Xie, Yao Xie, Huan Xu:
Sequential Change-Point Detection via Online Convex Optimization. Entropy 20(2): 108 (2018) - [j15]Simon Mak, Yao Xie:
Maximum Entropy Low-Rank Matrix Recovery. IEEE J. Sel. Top. Signal Process. 12(5): 886-901 (2018) - [c35]Xi He, Yao Xie, Sin-Mei Wu, Fan-Chi Lin:
Sequential Graph Scanning Statistic for Change-point Detection. ACSSC 2018: 1317-1321 - [c34]Liyan Xie, Yao Xie, Sin-Mei Wu, Fan-Chi Lin, Wen-Zhan Song:
Communication Efficient Signal Detection for Distributed Ambient Noise Imaging. ACSSC 2018: 1779-1783 - [c33]Yang Cao, Liyan Xie, Yao Xie, Huan Xu:
Nearly second-order optimality of online joint detection and estimation via one-sample update schemes. AISTATS 2018: 519-528 - [c32]Liyan Xie, George V. Moustakides, Yao Xie:
First-Order Optimal Sequential Subspace Change-Point Detection. GlobalSIP 2018: 111-115 - [c31]Shixiang Zhu, Yao Xie:
Crime Incidents Embedding Using Restricted Boltzmann Machines. ICASSP 2018: 2376-2380 - [c30]Yang Cao, Shixiang Zhu, Yao Xie, Jordan Key, Josh Kacher, Raymond R. Unocic, Christopher M. Rouleau:
Sequential Adaptive Detection for In-Situ Transmission Electron Microscopy (TEM). ICASSP 2018: 2716-2720 - [c29]Simon Mak, Yao Xie:
Maximum Entropy Low-Rank Matrix Recovery. ISIT 2018: 361-365 - [c28]Rui Gao, Liyan Xie, Yao Xie, Huan Xu:
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets. NeurIPS 2018: 7913-7923 - [c27]Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song:
Learning Temporal Point Processes via Reinforcement Learning. NeurIPS 2018: 10804-10814 - [i31]Alexander Shapiro, Yao Xie, Rui Zhang:
Matrix completion with deterministic pattern - a geometric perspective. CoRR abs/1802.00047 (2018) - [i30]Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie:
Nearly Optimal Adaptive Procedure for Piecewise-Stationary Bandit: a Change-Point Detection Approach. CoRR abs/1802.03692 (2018) - [i29]Rui Gao, Liyan Xie, Yao Xie, Huan Xu:
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets. CoRR abs/1805.10611 (2018) - [i28]Shixiang Zhu, Yao Xie:
Crime Event Embedding with Unsupervised Feature Selection. CoRR abs/1806.06095 (2018) - [i27]Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song:
Learning Temporal Point Processes via Reinforcement Learning. CoRR abs/1811.05016 (2018) - 2017
- [j14]Shuang Li, Yao Xie, Mehrdad Farajtabar, Apurv Verma, Le Song:
Detecting Changes in Dynamic Events Over Networks. IEEE Trans. Signal Inf. Process. over Networks 3(2): 346-359 (2017) - [c26]Liyan Xie, Yao Xie:
Sequential detection of low-rank changes using extreme eigenvalues. CAMSAP 2017: 1-5 - [c25]Tirza Routtenberg, Yao Xie:
PMU-based online change-point detection of imbalance in three-phase power systems. ISGT 2017: 1-5 - [c24]Yang Cao, Yao Xie:
Robust sequential change-point detection by convex optimization. ISIT 2017: 1287-1291 - [c23]Maria Valero, José Clemente, Goutham Kamath, Yao Xie, Fan-Chi Lin, WenZhan Song:
Real-Time Ambient Noise Subsurface Imaging in Distributed Sensor Networks. SMARTCOMP 2017: 1-8 - [i26]Yang Cao, Yao Xie, Huan Xu:
Near-optimality of sequential joint detection and estimation via online mirror descent. CoRR abs/1705.06995 (2017) - [i25]Shixiang Zhu, Yao Xie:
Crime incidents embedding using restricted Boltzmann machines. CoRR abs/1710.10513 (2017) - [i24]Simon Mak, Yao Xie:
Maximum entropy low-rank matrix recovery. CoRR abs/1712.03310 (2017) - 2016
- [j13]Yang Cao, Yao Xie:
Poisson Matrix Recovery and Completion. IEEE Trans. Signal Process. 64(6): 1609-1620 (2016) - [c22]Shanshan Cao, Yao Xie:
Dynamic change-point detection using similarity networks. ACSSC 2016: 117-121 - [c21]Yao Xie, Lee M. Seversky:
Sequential low-rank change detection. Allerton 2016: 128-133 - [c20]Shuang Li, Yang Cao, Christina Leamon, Yao Xie, Lei Shi, Wen-Zhan Song:
Online seismic event picking via sequential change-point detection. Allerton 2016: 774-779 - [c19]Chengwei Zhou, Yujie Gu, Wen-Zhan Song, Yao Xie, Zhiguo Shi:
Robust adaptive beamforming based on DOA support using decomposed coprime subarrays. ICASSP 2016: 2986-2990 - [i23]Shuang Li, Yao Xie, Mehrdad Farajtabar, Le Song:
Detecting weak changes in dynamic events over networks. CoRR abs/1603.08981 (2016) - [i22]Yao Xie, Lee M. Seversky:
Sequential Low-Rank Change Detection. CoRR abs/1610.00732 (2016) - [i21]Shuang Li, Yao Xie, Le Song:
Data-Driven Threshold Machine: Scan Statistics, Change-Point Detection, and Extreme Bandits. CoRR abs/1610.04599 (2016) - 2015
- [j12]Kang Zhao, Yao Xie, Kwok-Leung Tsui, Qingming Wei, Wenpo Huang, Wei Jiang, Yanting Li, Su Gon Cho, Seoung Bum Kim, Kaibo Liu, Jianjun Shi, Young-Seon Jeong, Byunghoon Kim, Seung Hoon Tong, In-Kap Chang, Myong Kee Jeong, Florent Charruaud, Lishuai Li:
System Informatics: From Methodology to Applications. IEEE Intell. Syst. 30(6): 12-29 (2015) - [j11]Gábor Braun, Sebastian Pokutta, Yao Xie:
Info-Greedy Sequential Adaptive Compressed Sensing. IEEE J. Sel. Top. Signal Process. 9(4): 601-611 (2015) - [j10]David Marangoni-Simonsen, Yao Xie:
Sequential Changepoint Approach for Online Community Detection. IEEE Signal Process. Lett. 22(8): 1035-1039 (2015) - [c18]Yang Cao, Yao Xie:
Multi-sensor gradual change detection. Allerton 2015: 827-834 - [c17]Yang Cao, Yao Xie:
Categorical matrix completion. CAMSAP 2015: 369-372 - [c16]Yao Xie, Meng Wang, Andrew Thompson:
Sketching for sequential change-point detection. GlobalSIP 2015: 78-82 - [c15]Ruiyang Song, Yao Xie, Sebastian Pokutta:
Sequential sensing with model mismatch. ISIT 2015: 1650-1654 - [c14]Yang Cao, Yao Xie:
Poisson matrix completion. ISIT 2015: 1841-1845 - [c13]Shuang Li, Yao Xie, Hanjun Dai, Le Song:
M-Statistic for Kernel Change-Point Detection. NIPS 2015: 3366-3374 - [i20]Ruiyang Song, Yao Xie, Sebastian Pokutta:
Sequential Sensing with Model Mismatch. CoRR abs/1501.06241 (2015) - [i19]Yang Cao, Yao Xie:
Poisson Matrix Completion. CoRR abs/1501.06243 (2015) - [i18]Yang Cao, Yao Xie:
Poisson Matrix Recovery and Completion. CoRR abs/1504.05229 (2015) - [i17]Yao Xie, Meng Wang, Andrew Thompson:
Sketching for Sequential Change-Point Detection. CoRR abs/1505.06770 (2015) - [i16]Yang Cao, Yao Xie:
Categorical Matrix Completion. CoRR abs/1507.00421 (2015) - [i15]Shuang Li, Yao Xie, Hanjun Dai, Le Song:
M-Statistic for Kernel Change-Point Detection. CoRR abs/1507.01279 (2015) - [i14]Yang Cao, Yao Xie, Nagi Gebraeel:
Multi-Sensor Slope Change Detection. CoRR abs/1509.00114 (2015) - [i13]Ruiyang Song, Yao Xie, Sebastian Pokutta:
Sequential Information Guided Sensing. CoRR abs/1509.00130 (2015) - [i12]Yao Xie, Ruiyang Song, Hanjun Dai, Qingbin Li, Le Song:
Online Supervised Subspace Tracking. CoRR abs/1509.00137 (2015) - 2014
- [c12]Gábor Braun, Sebastian Pokutta, Yao Xie:
Info-greedy sequential adaptive compressed sensing. Allerton 2014: 858-865 - [c11]Yang Cao, Yao Xie:
Low-rank matrix recovery in poisson noise. GlobalSIP 2014: 384-388 - [i11]Yang Cao, Yao Xie:
Low-rank matrix recovery in Poisson noise. CoRR abs/1407.0726 (2014) - [i10]Gábor Braun, Sebastian Pokutta, Yao Xie:
Info-Greedy sequential adaptive compressed sensing. CoRR abs/1407.0731 (2014) - [i9]David Marangoni-Simonsen, Yao Xie:
Sequential Changepoint Approach for Online Community Detection. CoRR abs/1407.5978 (2014) - 2013
- [j9]Yao Xie, Jiaji Huang, Rebecca Willett:
Change-Point Detection for High-Dimensional Time Series With Missing Data. IEEE J. Sel. Top. Signal Process. 7(1): 12-27 (2013) - [j8]Yao Xie, Yonina C. Eldar, Andrea Goldsmith:
Reduced-Dimension Multiuser Detection. IEEE Trans. Inf. Theory 59(6): 3858-3874 (2013) - [c10]Yao Xie, Yuejie Chi, A. Robert Calderbank:
Low-rank matrix recovery with poison noise. GlobalSIP 2013: 622 - [c9]Yao Xie, Rebecca Willett:
Online logistic regression on manifolds. ICASSP 2013: 3367-3371 - [i8]Juhwan Yoo, Yao Xie, Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank:
Finding Zeros: Greedy Detection of Holes. CoRR abs/1303.2048 (2013) - [i7]Yuejie Chi, Yao Xie, A. Robert Calderbank:
Compressive Demodulation of Mutually Interfering Signals. CoRR abs/1303.3904 (2013) - [i6]Andrew Thompson, Yao Xie, A. Robert Calderbank:
On group coherence of frames. CoRR abs/1307.7544 (2013) - 2012
- [c8]Yao Xie, Yonina C. Eldar, Andrea J. Goldsmith:
Reduced-dimension multiuser detection. ICC 2012: 2265-2269 - [c7]Yao Xie, Yuejie Chi, Lorne Applebaum, A. Robert Calderbank:
Compressive demodulation of mutually interfering signals. SSP 2012: 592-595 - [c6]Yao Xie, Jiaji Huang, Rebecca Willett:
Multiscale online tracking of manifolds. SSP 2012: 620-623 - [i5]Yao Xie, Jiaji Huang, Rebecca Willett:
Changepoint detection for high-dimensional time series with missing data. CoRR abs/1208.5062 (2012) - 2011
- [i4]Yao Xie, Deniz Gündüz, Andrea J. Goldsmith:
The Diversity-Multiplexing-Delay Tradeoff in MIMO Multihop Networks with ARQ. CoRR abs/1108.4709 (2011) - [i3]Yao Xie, Yonina C. Eldar, Andrea J. Goldsmith:
Reduced-Dimension Multiuser Detection. CoRR abs/1109.6303 (2011) - [i2]Yao Xie, Yonina C. Eldar, Andrea J. Goldsmith:
Reduced-dimension multiuser detection: detectors and performance guarantees. CoRR abs/1110.3264 (2011) - 2010
- [j7]Yao Xie, Benjamin Armbruster, Yinyu Ye:
Dynamic spectrum management with the competitive market model. IEEE Trans. Signal Process. 58(4): 2442-2446 (2010) - [c5]Yao Xie, Yonina C. Eldar, Andrea Goldsmith:
Reduced-dimension multiuser detection. Allerton 2010: 584-590 - [c4]Yao Xie, Andrea Goldsmith:
Diversity-multiplexing-delay tradeoffs in MIMO multihop networks with ARQ. ISIT 2010: 2208-2212
2000 – 2009
- 2009
- [c3]Yao Xie, Deniz Gündüz, Andrea J. Goldsmith:
Multihop MIMO Relay Networks with ARQ. GLOBECOM 2009: 1-6 - [i1]Yao Xie, Andrea J. Goldsmith:
Diversity-Multiplexing-Delay Tradeoffs in MIMO Multihop Networks with ARQ. CoRR abs/0912.5353 (2009) - 2008
- [j6]Yao Xie, Bin Guo, Jian Li, Geng Ku, Lihong V. Wang:
Adaptive and Robust Methods of Reconstruction (ARMOR) for Thermoacoustic Tomography. IEEE Trans. Biomed. Eng. 55(12): 2741-2752 (2008) - 2007
- [j5]Petre Stoica, Jian Li, Yao Xie:
On Probing Signal Design For MIMO Radar. IEEE Trans. Signal Process. 55(8): 4151-4161 (2007) - [j4]Xiayu Zheng, Yao Xie, Jian Li, Petre Stoica:
MIMO Transmit Beamforming Under Uniform Elemental Power Constraint. IEEE Trans. Signal Process. 55(11): 5395-5406 (2007) - [j3]Jian Li, Yao Xie, Petre Stoica, Xiayu Zheng, James Ward:
Beampattern Synthesis via a Matrix Approach for Signal Power Estimation. IEEE Trans. Signal Process. 55(12): 5643-5657 (2007) - [c2]Yao Xie, Jian Li, Xiayu Zheng, James Ward:
Optimal Array Pattern Synthesis via Matrix Weighting. ICASSP (2) 2007: 885-888 - 2006
- [j2]Yao Xie, Bin Guo, Jian Li, Petre Stoica:
Novel Multistatic Adaptive Microwave Imaging Methods for Early Breast Cancer Detection. EURASIP J. Adv. Signal Process. 2006 (2006) - [j1]Yao Xie, Bin Guo, Luzhou Xu, Jian Li, Peter Stoica:
Multistatic Adaptive Microwave Imaging for Early Breast Cancer Detection. IEEE Trans. Biomed. Eng. 53(8): 1647-1657 (2006) - [c1]Yao Xie, Bin Guo, Jian Li, Petre Stoica:
On Multi-Static Adaptive Microwave Imaging Methods for Early Breast Cancer Detection. ICASSP (2) 2006: 573-576
Coauthor Index
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