Yao Xie

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 162

Top Venues

CoRR

ICASSP

IEEE J. Sel. Areas Inf. Theory

ACSSC

Publications

Hanyang Jiang, Elizabeth M. Belding, Ellen Zegure, Yao Xie
Learning Cellular Network Connection Quality with Conformal. CoRR (2024)
Jonghyeok Lee, Chen Xu, Yao Xie
Kernel-based optimally weighted conformal prediction intervals. CoRR (2024)
Junghwan Lee, Chen Xu, Yao Xie
Transformer Conformal Prediction for Time Series. CoRR (2024)
Chen Xu, Jonghyeok Lee, Xiuyuan Cheng, Yao Xie
Flow-Based Distributionally Robust Optimization. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Jie Wang, March Boedihardjo, Yao Xie
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances. CoRR (2024)
Hanyang Jiang, Yao Xie
A Graph-Prediction-Based Approach for Debiasing Underreported Data. ICASSP (2024)
Chen Xu, Hanyang Jiang, Yao Xie
Conformal prediction for multi-dimensional time series by ellipsoidal sets. CoRR (2024)
Matthew Repasky, Xiuyuan Cheng, Yao Xie
Stage-Regularized Neural Stein Critics For Testing Goodness-Of-Fit Of Generative Models. ICASSP (2024)
Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie
: Robust Principal Component Analysis for Exponential Family Distributions. Stat. Anal. Data Min. 17 (2) (2024)
Chen Xu, Xiuyuan Cheng, Yao Xie
Q-malizing flow and infinitesimal density ratio estimation. CoRR (2023)
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) (2023)
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 (2023)
Hanyang Jiang, Henry Shaowu Yuchi, Elizabeth M. Belding, Ellen Zegura, Yao Xie
Mobile Internet Quality Estimation using Self-Tuning Kernel Regression. CoRR (2023)
Matthew Repasky, Xiuyuan Cheng, Yao Xie
-Regularization. IEEE Trans. Inf. Theory 69 (11) (2023)
Zheng Dong, Xiuyuan Cheng, Yao Xie
Spatio-temporal point processes with deep non-stationary kernels. ICLR (2023)
Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran
Causal Graph Discovery from Self and Mutually Exciting Time Series. CoRR (2023)
Song Wei, Yao Xie
Causal Structural Learning from Time Series: A Convex Optimization Approach. CoRR (2023)
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 (2023)
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) (2023)
Henry Shaowu Yuchi, Matthew Repasky, Terry Ma, Yao Xie
Streaming Low-Rank Matrix Data Assimilation and Change Identification. ACSSC (2023)
Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn
Contextual Stochastic Bilevel Optimization. NeurIPS (2023)
Anatoli B. Juditsky, Arkadi Nemirovski, Yao Xie, Chen Xu
Generalized generalized linear models: Convex estimation and online bounds. CoRR (2023)
Chen Xu, Yao Xie
Conformal Prediction for Time Series. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Chen Xu, Xiuyuan Cheng, Yao Xie
Normalizing flow neural networks by JKO scheme. NeurIPS (2023)
Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie
PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis. Technometrics 65 (2) (2023)
Liyan Xie, George V. Moustakides, Yao Xie
Window-Limited CUSUM for Sequential Change Detection. IEEE Trans. Inf. Theory 69 (9) (2023)
Junghwan Lee, Yao Xie, Xiuyuan Cheng
Training Neural Networks for Sequential Change-Point Detection. ICASSP (2023)
Jeffrey Smith, Andre L. Holder, Rishikesan Kamaleswaran, Yao Xie
Detecting algorithmic bias in medical AI-models. CoRR (2023)
Xiuyuan Cheng, Jianfeng Lu, Yixin Tan, Yao Xie
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space. CoRR (2023)
Song Wei, Yao Xie
Causal Structural Learning from Time Series: A Convex Optimization Approach. ACSSC (2023)
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 (2023)
Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak
Sequential Change-Point Detection for Mutually Exciting Point Processes. Technometrics 65 (1) (2023)
Minghe Zhang, Liyan Xie, Yao Xie
Spectral CUSUM for Online Network Structure Change Detection. IEEE Trans. Inf. Theory 69 (7) (2023)
Song Wei, Ronald Moore, Hanyu Zhang, Yao Xie, Rishikesan Kamaleswaran
Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer. CoRR (2023)
Matthew Repasky, Yao Xie, Yichen Zhang, Feng Qiu
Power Grid Faults Classification via Low-Rank Tensor Modeling. ACSSC (2023)
Jie Wang, Talha Bozkus, Yao Xie, Urbashi Mitra
Reliable Adaptive Recoding for Batched Network Coding with Burst-Noise Channels. ACSSC (2023)
Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes. KDD (2023)
Chen Xu, Jonghyeok Lee, Xiuyuan Cheng, Yao Xie
Flow-based Distributionally Robust Optimization. CoRR (2023)
Zheng Dong, Matthew Repasky, Xiuyuan Cheng, Yao Xie
Deep graph kernel point processes. CoRR (2023)
Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn
Contextual Stochastic Bilevel Optimization. CoRR (2023)
Heejune Sheen, Xiaonan Zhu, Yao Xie
Tensor Kernel Recovery for Discrete Spatio-Temporal Hawkes Processes. IEEE Trans. Signal Process. 70 (2022)
Matthew Repasky, Xiuyuan Cheng, Yao Xie
-regularization. CoRR (2022)
Shixiang Zhu, Haoyun Wang, Zheng Dong, Xiuyuan Cheng, Yao Xie
Neural Spectral Marked Point Processes. ICLR (2022)
Shixiang Zhu, He Wang, Yao Xie
Data-Driven Optimization for Atlanta Police-Zone Design. INFORMS J. Appl. Anal. 52 (5) (2022)
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) (2022)
Chen Xu, Xiuyuan Cheng, Yao Xie
Invertible Neural Networks for Graph Prediction. IEEE J. Sel. Areas Inf. Theory 3 (3) (2022)
Khurram Yamin, Nima Jadali, Dima Nazzal, Yao Xie
Novelty Detection for Election Fraud: A Case Study with Agent-Based Simulation Data. CoRR (2022)
Junghwan Lee, Yao Xie, Xiuyuan Cheng
Training Neural Networks for Sequential Change-point Detection. CoRR (2022)
Chen Xu, Xiuyuan Cheng, Yao Xie
Training neural networks using monotone variational inequality. CoRR (2022)
Rui Zhang, Yao Xie, Rui Yao, Feng Qiu
Online Detection of Cascading Change-Points Using Diffusion Networks. Allerton (2022)
Jeffrey Smith, Christopher S. Josef, Yao Xie, Rishikesan Kamaleswaran
Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence. AMIA (2022)
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) (2022)
Shixiang Zhu, Shuang Li, Zhigang Peng, Yao Xie
Imitation Learning of Neural Spatio-Temporal Point Processes. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
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)
Khurram Yamin, Haoyun Wang, Benoît Montreuil, Yao Xie
Online Detection Of Supply Chain Network Disruptions Using Sequential Change-Point Detection for Hawkes Processes. CoRR (2022)
Chen Xu, Xiuyuan Cheng, Yao Xie
Invertible Neural Networks for Graph Prediction. CoRR (2022)
Zheng Dong, Xiuyuan Cheng, Yao Xie
Spatio-temporal point processes with deep non-stationary kernels. CoRR (2022)
Sarah Huestis-Mitchell, Xiuyuan Cheng, Yao Xie
Police Text Analysis: Topic Modeling and Spatial Relative Density Estimation. CoRR (2022)
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) (2022)
Chen Xu, Xiuyuan Cheng, Yao Xie
Invertible normalizing flow neural networks by JKO scheme. CoRR (2022)
Jie Wang, Rui Gao, Yao Xie
Sinkhorn Distributionally Robust Optimization. CoRR (2021)
Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak
Sequential change-point detection for mutually exciting point processes over networks. CoRR (2021)
Xiuyuan Cheng, Yao Xie
Kernel MMD Two-Sample Tests for Manifold Data. CoRR (2021)
Song Wei, Yao Xie, Dobromir Rahnev
Inferring serial correlation with dynamic backgrounds. ICML (2021)
Song Wei, Shixiang Zhu, Minghe Zhang, Yao Xie
Goodness-of-Fit Test for Mismatched Self-Exciting Processes. AISTATS (2021)
Liyan Xie, Yao Xie
Sequential Change Detection by Optimal Weighted ℓ₂ Divergence. IEEE J. Sel. Areas Inf. Theory 2 (2) (2021)
Xiuyuan Cheng, Yao Xie
Neural Tangent Kernel Maximum Mean Discrepancy. NeurIPS (2021)
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) (2021)
Chen Xu, Yao Xie
Conformal prediction interval for dynamic time-series. ICML (2021)
Vincent Y. F. Tan, Yao Xie
Editorial. IEEE J. Sel. Areas Inf. Theory 2 (2) (2021)
Alexander Shapiro, Yao Xie, Rui Zhang
On Characteristic Rank for Matrix and Tensor Completion [Lecture Notes]. IEEE Signal Process. Mag. 38 (2) (2021)
Shixiang Zhu, Henry Shaowu Yuchi, Minghe Zhang, Yao Xie
Sequential Adversarial Anomaly Detection with Deep Fourier Kernel. ICASSP (2021)
Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran
Inferring Granger Causality from Irregularly Sampled Time Series. CoRR (2021)
Rui Zhang, Junting Chen, Yao Xie, Alexander Shapiro, Urbashi Mitra
Testing Rank of Incomplete Unimodal Matrices. IEEE Signal Process. Lett. 28 (2021)
Xiuyuan Cheng, Yao Xie
Neural Tangent Kernel Maximum Mean Discrepancy. CoRR (2021)
Cyrus Hettle, Shixiang Zhu, Swati Gupta, Yao Xie
Balanced Districting on Grid Graphs with Provable Compactness and Contiguity. CoRR (2021)
Alexander Shapiro, Yao Xie, Rui Zhang
Goodness-of-Fit Tests on Manifolds. IEEE Trans. Inf. Theory 67 (4) (2021)
Shixiang Zhu, Haoyun Wang, Xiuyuan Cheng, Yao Xie
Neural Spectral Marked Point Processes. CoRR (2021)
Shixiang Zhu, Minghe Zhang, Ruyi Ding, Yao Xie
Deep Fourier Kernel for Self-Attentive Point Processes. AISTATS (2021)
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)
Shixiang Zhu, He Wang, Yao Xie
Data-Driven Optimization for Police Zone Design. CoRR (2021)
Jie Wang, Rui Gao, Yao Xie
Two-sample Test using Projected Wasserstein Distance. ISIT (2021)
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) (2021)
Liyan Xie, Yao Xie
Optimality of Graph Scanning Statistic for Online Community Detection. ISIT (2021)
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 (2021)
Shixiang Zhu, Alexander Bukharin, Liyan Xie, Shihao Yang, Pinar Keskinocak, Yao Xie
Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. CoRR (2021)
Minghe Zhang, Liyan Xie, Yao Xie
Online Community Detection by Spectral Cusum. ICASSP (2020)
Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie
Uncertainty Quantification for Inferring Hawkes Networks. CoRR (2020)
Shixiang Zhu, Minghe Zhang, Ruyi Ding, Yao Xie
Deep Attention Spatio-Temporal Point Processes. CoRR (2020)
Anatoli B. Juditsky, Arkadi Nemirovski, Liyan Xie, Yao Xie
Convex Recovery of Marked Spatio-Temporal Point Processes. CoRR (2020)
Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie
Uncertainty Quantification for Inferring Hawkes Networks. NeurIPS (2020)
Shixiang Zhu, Ruyi Ding, Minghe Zhang, Pascal Van Hentenryck, Yao Xie
Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling. CoRR (2020)
Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song
Temporal Logic Point Processes. ICML (2020)
Song Wei, Shixiang Zhu, Minghe Zhang, Yao Xie
Goodness-of-Fit Test for Self-Exciting Processes. CoRR (2020)
Anatoli B. Juditsky, Arkadi Nemirovski, Liyan Xie, Yao Xie
Convex Parameter Recovery for Interacting Marked Processes. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Santanu S. Dey, Guanyi Wang, Yao Xie
Approximation Algorithms for Training One-Node ReLU Neural Networks. IEEE Trans. Signal Process. 68 (2020)
Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie
Distributionally Robust $k$-Nearest Neighbors for Few-Shot Learning. CoRR (2020)
Jie Wang, Rui Gao, Yao Xie
Two-sample Test using Projected Wasserstein Distance: Breaking the Curse of Dimensionality. CoRR (2020)
Shixiang Zhu, Henry Shaowu Yuchi, Yao Xie
Adversarial Anomaly Detection for Marked Spatio-Temporal Streaming Data. ICASSP (2020)
Zheng Dong, Yifei Yang, Yao Xie
Sequential Vessel Trajectory Identification Using Truncated Viterbi Algorithm. ICASSP (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yao Xie