Yao Xie - RankMe

236 papers A* 19A 6B 13C 1Misc 22Journal 154Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Flow-Based Generative Models as Iterative Algorithms in Probability Space: An intuitive mathematical framework [Special Issue on the Mathematics of Deep Learning]. IEEE Signal Process. Mag. Yao Xie, Xiuyuan Cheng
2026	J	`jnl`	Local Flow Matching Generative Models. IEEE Trans. Inf. Theory Chen Xu, Xiuyuan Cheng, Yao Xie
2026	J	`jnl`	Tides Need STEMMED: A Locally Operating Spatiotemporal Mutually Exciting Point Process with Dynamic Network for Improving Opioid Overdose Death Prediction. Manuf. Serv. Oper. Manag. Che-Yi Liao, Zheng Dong, Gian-Gabriel P. Garcia, Kamran Paynabar, Yao Xie, Mohammad S. Jalali
2025	A	`conf`	Computing high-dimensional optimal transport by flow neural networks. AISTATS Chen Xu, Xiuyuan Cheng, Yao Xie
2025	A*	`conf`	Consistency Posterior Sampling for Diverse Image Synthesis. CVPR Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng
2025	J	`jnl`	Deep spatio-temporal point processes: Advances and new directions. CoRR Xiuyuan Cheng, Zheng Dong, Yao Xie
2025	J	`jnl`	Flow-based Conformal Prediction for Multi-dimensional Time Series. CoRR Junghwan Lee, Chen Xu, Yao Xie
2025	J	`jnl`	Flow-based generative models as iterative algorithms in probability space. CoRR Yao Xie, Xiuyuan Cheng
2025	J	`jnl`	Generalizing to Unseen Domains With Wasserstein Distributional Robustness Under Limited Source Knowledge. IEEE J. Sel. Top. Signal Process. Jingge Wang, Liyan Xie, Yao Xie, Shao-Lun Huang, Yang Li
2025	J	`jnl`	High-dimensional Mean-Field Games by Particle-based Flow Matching. CoRR Jiajia Yu, Junghwan Lee, Yao Xie, Xiuyuan Cheng
2025	A*	`conf`	Kernel-based Optimally Weighted Conformal Time-Series Prediction. ICLR Jonghyeok Lee, Chen Xu, Yao Xie
2025	J	`jnl`	Learning Sinkhorn Divergences for Change Point Detection. IEEE Trans. Signal Process. Nauman Ahad, Eva L. Dyer, Keith B. Hengen, Yao Xie, Mark A. Davenport
2025	J	`jnl`	Scalable Gaussian Processes with Low-Rank Deep Kernel Decomposition. CoRR Yunqin Zhu, Henry Shaowu Yuchi, Yao Xie
2025	J	`jnl`	Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal Prediction. CoRR Anni Zhou, Beyah Raheem, Rishikesan Kamaleswaran, Yao Xie
2025	B	`conf`	Spatio-Temporal Conformal Prediction for Power Outage Data. ISIT Hanyang Jiang, Yao Xie, Feng Qiu
2025	A*	`conf`	Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances. ICML Jie Wang, March Boedihardjo, Yao Xie
2025	J	`jnl`	Worst-case generation via minimax optimization in Wasserstein space. CoRR Xiuyuan Cheng, Yao Xie, Linglingzhi Zhu, Yunqin Zhu
2024	Misc	`conf`	A Graph-Prediction-Based Approach for Debiasing Underreported Data. ICASSP Hanyang Jiang, Yao Xie
2024	A*	`conf`	Conformal prediction for multi-dimensional time series by ellipsoidal sets. ICML Chen Xu, Hanyang Jiang, Yao Xie
2024	J	`jnl`	Conformal prediction for multi-dimensional time series by ellipsoidal sets. CoRR Chen Xu, Hanyang Jiang, Yao Xie
2024	J	`jnl`	Convergence of Flow-Based Generative Models via Proximal Gradient Descent in Wasserstein Space. IEEE Trans. Inf. Theory Xiuyuan Cheng, Jianfeng Lu, Yixin Tan, Yao Xie
2024	J	`jnl`	Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces. CoRR Linglingzhi Zhu, Yao Xie
2024	J	`jnl`	Flow-Based Distributionally Robust Optimization. IEEE J. Sel. Areas Inf. Theory Chen Xu, Jonghyeok Lee, Xiuyuan Cheng, Yao Xie
2024	J	`jnl`	Kernel-based optimally weighted conformal prediction intervals. CoRR Jonghyeok Lee, Chen Xu, Yao Xie
2024	J	`jnl`	Learning Cellular Network Connection Quality with Conformal. CoRR Hanyang Jiang, Elizabeth M. Belding, Ellen Zegure, Yao Xie
2024	J	`jnl`	Local Flow Matching Generative Models. CoRR Chen Xu, Xiuyuan Cheng, Yao Xie
2024	B	`conf`	Non-Convex Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets. ISIT Jie Wang, Rui Gao, Yao Xie
2024	J	`jnl`	Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets. CoRR Jie Wang, Rui Gao, Yao Xie
2024	J	`jnl`	Point processes with event time uncertainty. CoRR Xiuyuan Cheng, Tingnan Gong, Yao Xie
2024	J	`jnl`	Posterior sampling via Langevin dynamics based on generative priors. CoRR Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng
2024	J	`jnl`	Spatial Conformal Inference through Localized Quantile Regression. CoRR Hanyang Jiang, Yao Xie
2024	J	`jnl`	Spatio-Temporal Conformal Prediction for Power Outage Data. CoRR Hanyang Jiang, Yao Xie, Feng Qiu
2024	Misc	`conf`	Stage-Regularized Neural Stein Critics For Testing Goodness-Of-Fit Of Generative Models. ICASSP Matthew Repasky, Xiuyuan Cheng, Yao Xie
2024	J	`jnl`	Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances. CoRR Jie Wang, March Boedihardjo, Yao Xie
2024	J	`jnl`	Transformer Conformal Prediction for Time Series. CoRR Junghwan Lee, Chen Xu, Yao Xie
2023	J	`jnl`	Causal Graph Discovery From Self and Mutually Exciting Time Series. IEEE J. Sel. Areas Inf. Theory Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran
2023	Misc	`conf`	Causal Structural Learning from Time Series: A Convex Optimization Approach. ACSSC Song Wei, Yao Xie
2023	J	`jnl`	Causal Structural Learning from Time Series: A Convex Optimization Approach. CoRR Song Wei, Yao Xie
2023	J	`jnl`	Conformal Prediction for Time Series. IEEE Trans. Pattern Anal. Mach. Intell. Chen Xu, Yao Xie
2023	A*	`conf`	Contextual Stochastic Bilevel Optimization. NeurIPS Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn
2023	J	`jnl`	Contextual Stochastic Bilevel Optimization. CoRR Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn
2023	J	`jnl`	Convergence of flow-based generative models via proximal gradient descent in Wasserstein space. CoRR Xiuyuan Cheng, Jianfeng Lu, Yixin Tan, Yao Xie
2023	J	`jnl`	Deep graph kernel point processes. CoRR Zheng Dong, Matthew Repasky, Xiuyuan Cheng, Yao Xie
2023	J	`jnl`	Detecting Electricity Service Equity Issues with Transfer Counterfactual Learning on Large-Scale Outage Datasets. CoRR Song Wei, Xiangrui Kong, Sarah A. Huestis-Mitchell, Shixiang Zhu, Yao Xie, Álinson Santos Xavier, Feng Qiu
2023	J	`jnl`	Detecting algorithmic bias in medical AI-models. CoRR Jeffrey Smith, Andre L. Holder, Rishikesan Kamaleswaran, Yao Xie
2023	J	`jnl`	Distribution-free multivariate time-series monitoring with analytically determined control limits. Int. J. Prod. Res. Di Liu, Heeseon Kim, Seong-Hee Kim, Taeheung Kim, Dongki Lee, Yao Xie
2023	J	`jnl`	Flow-based Distributionally Robust Optimization. CoRR Chen Xu, Jonghyeok Lee, Xiuyuan Cheng, Yao Xie
2023	J	`jnl`	Generalized generalized linear models: Convex estimation and online bounds. CoRR Anatoli B. Juditsky, Arkadi Nemirovski, Yao Xie, Chen Xu
2023	A*	`conf`	Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes. KDD Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran
2023	J	`jnl`	Mobile Internet Quality Estimation using Self-Tuning Kernel Regression. CoRR Hanyang Jiang, Henry Shaowu Yuchi, Elizabeth M. Belding, Ellen Zegura, Yao Xie
2023	J	`jnl`	Neural Stein Critics With Staged L IEEE Trans. Inf. Theory Matthew Repasky, Xiuyuan Cheng, Yao Xie
2023	A*	`conf`	Normalizing flow neural networks by JKO scheme. NeurIPS Chen Xu, Xiuyuan Cheng, Yao Xie
2023	J	`jnl`	Novelty detection for election fraud: A case study with agent-based simulation data. AI Mag. Khurram Yamin, Nima Jadali, Yao Xie, Dima Nazzal
2023	J	`jnl`	Optimal transport flow and infinitesimal density ratio estimation. CoRR Chen Xu, Xiuyuan Cheng, Yao Xie
2023	J	`jnl`	PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis. Technometrics Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie
2023	Misc	`conf`	Power Grid Faults Classification via Low-Rank Tensor Modeling. ACSSC Matthew Repasky, Yao Xie, Yichen Zhang, Feng Qiu
2023	Misc	`conf`	Reliable Adaptive Recoding for Batched Network Coding with Burst-Noise Channels. ACSSC Jie Wang, Talha Bozkus, Yao Xie, Urbashi Mitra
2023	J	`jnl`	Sequential Change-Point Detection for Mutually Exciting Point Processes. Technometrics Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak
2023	A*	`conf`	Sequential Predictive Conformal Inference for Time Series. ICML Chen Xu, Yao Xie
2023	J	`jnl`	Spatio-Temporal Wildfire Prediction Using Multi-Modal Data. IEEE J. Sel. Areas Inf. Theory Chen Xu, Yao Xie, Daniel A. Zuniga Vazquez, Rui Yao, Feng Qiu
2023	A*	`conf`	Spatio-temporal point processes with deep non-stationary kernels. ICLR Zheng Dong, Xiuyuan Cheng, Yao Xie
2023	J	`jnl`	Spectral CUSUM for Online Network Structure Change Detection. IEEE Trans. Inf. Theory Minghe Zhang, Liyan Xie, Yao Xie
2023	Misc	`conf`	Streaming Low-Rank Matrix Data Assimilation and Change Identification. ACSSC Henry Shaowu Yuchi, Matthew Repasky, Terry Ma, Yao Xie
2023	Misc	`conf`	Training Neural Networks for Sequential Change-Point Detection. ICASSP Junghwan Lee, Yao Xie, Xiuyuan Cheng
2023	J	`jnl`	Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer. CoRR Song Wei, Ronald Moore, Hanyu Zhang, Yao Xie, Rishikesan Kamaleswaran
2023	J	`jnl`	Window-Limited CUSUM for Sequential Change Detection. IEEE Trans. Inf. Theory Liyan Xie, George V. Moustakides, Yao Xie
2022	B	`conf`	A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets. ISIT Jie Wang, Yao Xie
2022	J	`jnl`	A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets. CoRR Jie Wang, Yao Xie
2022	J	`jnl`	A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks. CoRR Jie Wang, Minshuo Chen, Tuo Zhao, Wenjing Liao, Yao Xie
2022	C	`conf`	An Unsupervised Density Based Clustering Algorithm to Detect Election Anomalies : Evidence from Georgia's Largest County. COMPASS Khurram Yamin, Matthew Oswald, Nima Jadali, Yao Xie, Ellen Zegura, Dima Nazzal
2022	J	`jnl`	Conformal prediction set for time-series. CoRR Chen Xu, Yao Xie
2022	J	`jnl`	Data-Driven Optimization for Atlanta Police-Zone Design. INFORMS J. Appl. Anal. Shixiang Zhu, He Wang, Yao Xie
2022	A*	`conf`	Distributionally robust weighted k-nearest neighbors. NeurIPS Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie
2022	J	`jnl`	Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. IEEE J. Sel. Top. Signal Process. Shixiang Zhu, Alexander Bukharin, Liyan Xie, Khurram Yamin, Shihao Yang, Pinar Keskinocak, Yao Xie
2022	J	`jnl`	Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge. CoRR Jingge Wang, Liyan Xie, Yao Xie, Shao-Lun Huang, Yang Li
2022	J	`jnl`	Imitation Learning of Neural Spatio-Temporal Point Processes. IEEE Trans. Knowl. Data Eng. Shixiang Zhu, Shuang Li, Zhigang Peng, Yao Xie
2022	—	`conf`	Improving Sepsis Prediction Model Generalization With Optimal Transport. ML4H@NeurIPS Jie Wang, Ronald Moore, Yao Xie, Rishikesan Kamaleswaran
2022	J	`jnl`	In Situ Transmission Electron Microscopy: Signal processing challenges and examples. IEEE Signal Process. Mag. Josh Kacher, Yao Xie, Sven P. Voigt, Shixiang Zhu, Henry Shaowu Yuchi, Jordan Key, Surya R. Kalidindi
2022	J	`jnl`	Invertible Neural Networks for Graph Prediction. CoRR Chen Xu, Xiuyuan Cheng, Yao Xie
2022	J	`jnl`	Invertible Neural Networks for Graph Prediction. IEEE J. Sel. Areas Inf. Theory Chen Xu, Xiuyuan Cheng, Yao Xie
2022	J	`jnl`	Invertible normalizing flow neural networks by JKO scheme. CoRR Chen Xu, Xiuyuan Cheng, Yao Xie
2022	J	`jnl`	Learning Sinkhorn divergences for supervised change point detection. CoRR Nauman Ahad, Eva L. Dyer, Keith B. Hengen, Yao Xie, Mark A. Davenport
2022	A*	`conf`	Neural Spectral Marked Point Processes. ICLR Shixiang Zhu, Haoyun Wang, Zheng Dong, Xiuyuan Cheng, Yao Xie
2022	J	`jnl`	Neural Stein critics with staged L CoRR Matthew Repasky, Xiuyuan Cheng, Yao Xie
2022	J	`jnl`	Novelty Detection for Election Fraud: A Case Study with Agent-Based Simulation Data. CoRR Khurram Yamin, Nima Jadali, Dima Nazzal, Yao Xie
2022	Misc	`conf`	Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence. AMIA Jeffrey Smith, Christopher S. Josef, Yao Xie, Rishikesan Kamaleswaran
2022	J	`jnl`	Online Detection Of Supply Chain Network Disruptions Using Sequential Change-Point Detection for Hawkes Processes. CoRR Khurram Yamin, Haoyun Wang, Benoît Montreuil, Yao Xie
2022	—	`conf`	Online Detection of Cascading Change-Points Using Diffusion Networks. Allerton Rui Zhang, Yao Xie, Rui Yao, Feng Qiu
2022	J	`jnl`	Police Text Analysis: Topic Modeling and Spatial Relative Density Estimation. CoRR Sarah Huestis-Mitchell, Xiuyuan Cheng, Yao Xie
2022	J	`jnl`	Sequential Predictive Conformal Inference for Time Series. CoRR Chen Xu, Yao Xie
2022	J	`jnl`	Spatio-Temporal Point Processes With Attention for Traffic Congestion Event Modeling. IEEE Trans. Intell. Transp. Syst. Shixiang Zhu, Ruyi Ding, Minghe Zhang, Pascal Van Hentenryck, Yao Xie
2022	J	`jnl`	Spatio-temporal point processes with deep non-stationary kernels. CoRR Zheng Dong, Xiuyuan Cheng, Yao Xie
2022	J	`jnl`	Tensor Kernel Recovery for Discrete Spatio-Temporal Hawkes Processes. IEEE Trans. Signal Process. Heejune Sheen, Xiaonan Zhu, Yao Xie
2022	J	`jnl`	Training Neural Networks for Sequential Change-point Detection. CoRR Junghwan Lee, Yao Xie, Xiuyuan Cheng
2022	J	`jnl`	Training neural networks using monotone variational inequality. CoRR Chen Xu, Xiuyuan Cheng, Yao Xie
2022	A	`conf`	Two-Sample Test with Kernel Projected Wasserstein Distance. AISTATS Jie Wang, Rui Gao, Yao Xie
2021	J	`jnl`	Balanced Districting on Grid Graphs with Provable Compactness and Contiguity. CoRR Cyrus Hettle, Shixiang Zhu, Swati Gupta, Yao Xie
2021	—	`conf`	Causal Graph and Social Network Analysis for the Spread of COVID-19 from Self-reported Indicator Data. ACSCC Shaoou Chen, Yao Xie, Shihao Yang
2021	J	`jnl`	Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization. CoRR Jingge Wang, Yang Li, Liyan Xie, Yao Xie
2021	A*	`conf`	Conformal prediction interval for dynamic time-series. ICML Chen Xu, Yao Xie
2021	J	`jnl`	Data-Driven Optimization for Police Zone Design. CoRR Shixiang Zhu, He Wang, Yao Xie
2021	A	`conf`	Deep Fourier Kernel for Self-Attentive Point Processes. AISTATS Shixiang Zhu, Minghe Zhang, Ruyi Ding, Yao Xie
2021	J	`jnl`	Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. CoRR Shixiang Zhu, Alexander Bukharin, Liyan Xie, Shihao Yang, Pinar Keskinocak, Yao Xie
2021	J	`jnl`	Editorial. IEEE J. Sel. Areas Inf. Theory Vincent Y. F. Tan, Yao Xie
2021	A	`conf`	Goodness-of-Fit Test for Mismatched Self-Exciting Processes. AISTATS Song Wei, Shixiang Zhu, Minghe Zhang, Yao Xie
2021	J	`jnl`	Goodness-of-Fit Tests on Manifolds. IEEE Trans. Inf. Theory Alexander Shapiro, Yao Xie, Rui Zhang
2021	J	`jnl`	Harvesting data revolution for transmission electron microscopy (TEM) using signal processing. CoRR Shixiang Zhu, Sven P. Voigt, Henry Shaowu Yuchi, Jordan Key, Yao Xie, Josh Kacher, Surya R. Kalidindi
2021	J	`jnl`	High-Resolution Spatio-Temporal Model for County-Level COVID-19 Activity in the U.S. ACM Trans. Manag. Inf. Syst. Shixiang Zhu, Alexander Bukharin, Liyan Xie, Mauricio Santillana, Shihao Yang, Yao Xie
2021	J	`jnl`	Inferring Granger Causality from Irregularly Sampled Time Series. CoRR Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran
2021	A*	`conf`	Inferring serial correlation with dynamic backgrounds. ICML Song Wei, Yao Xie, Dobromir Rahnev
2021	J	`jnl`	Kernel MMD Two-Sample Tests for Manifold Data. CoRR Xiuyuan Cheng, Yao Xie
2021	J	`jnl`	Neural Spectral Marked Point Processes. CoRR Shixiang Zhu, Haoyun Wang, Xiuyuan Cheng, Yao Xie
2021	A*	`conf`	Neural Tangent Kernel Maximum Mean Discrepancy. NeurIPS Xiuyuan Cheng, Yao Xie
2021	J	`jnl`	Neural Tangent Kernel Maximum Mean Discrepancy. CoRR Xiuyuan Cheng, Yao Xie
2021	J	`jnl`	On Characteristic Rank for Matrix and Tensor Completion [Lecture Notes]. IEEE Signal Process. Mag. Alexander Shapiro, Yao Xie, Rui Zhang
2021	B	`conf`	Optimality of Graph Scanning Statistic for Online Community Detection. ISIT Liyan Xie, Yao Xie
2021	J	`jnl`	Sequential (Quickest) Change Detection: Classical Results and New Directions. IEEE J. Sel. Areas Inf. Theory Liyan Xie, Shaofeng Zou, Yao Xie, Venugopal V. Veeravalli
2021	Misc	`conf`	Sequential Adversarial Anomaly Detection with Deep Fourier Kernel. ICASSP Shixiang Zhu, Henry Shaowu Yuchi, Minghe Zhang, Yao Xie
2021	J	`jnl`	Sequential Change Detection by Optimal Weighted ℓ₂ Divergence. IEEE J. Sel. Areas Inf. Theory Liyan Xie, Yao Xie
2021	J	`jnl`	Sequential change-point detection for mutually exciting point processes over networks. CoRR Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak
2021	J	`jnl`	Sinkhorn Distributionally Robust Optimization. CoRR Jie Wang, Rui Gao, Yao Xie
2021	J	`jnl`	Testing Rank of Incomplete Unimodal Matrices. IEEE Signal Process. Lett. Rui Zhang, Junting Chen, Yao Xie, Alexander Shapiro, Urbashi Mitra
2021	B	`conf`	Two-sample Test using Projected Wasserstein Distance. ISIT Jie Wang, Rui Gao, Yao Xie
2020	Misc	`conf`	Adversarial Anomaly Detection for Marked Spatio-Temporal Streaming Data. ICASSP Shixiang Zhu, Henry Shaowu Yuchi, Yao Xie
2020	J	`jnl`	Approximation Algorithms for Training One-Node ReLU Neural Networks. IEEE Trans. Signal Process. Santanu S. Dey, Guanyi Wang, Yao Xie
2020	J	`jnl`	Convex Parameter Recovery for Interacting Marked Processes. IEEE J. Sel. Areas Inf. Theory Anatoli B. Juditsky, Arkadi Nemirovski, Liyan Xie, Yao Xie
2020	J	`jnl`	Convex Recovery of Marked Spatio-Temporal Point Processes. CoRR Anatoli B. Juditsky, Arkadi Nemirovski, Liyan Xie, Yao Xie
2020	J	`jnl`	Deep Attention Spatio-Temporal Point Processes. CoRR Shixiang Zhu, Minghe Zhang, Ruyi Ding, Yao Xie
2020	J	`jnl`	Distributionally Robust $k$-Nearest Neighbors for Few-Shot Learning. CoRR Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie
2020	J	`jnl`	Goodness-of-Fit Test for Self-Exciting Processes. CoRR Song Wei, Shixiang Zhu, Minghe Zhang, Yao Xie
2020	Misc	`conf`	Online Community Detection by Spectral Cusum. ICASSP Minghe Zhang, Liyan Xie, Yao Xie
2020	Misc	`conf`	Sequential Vessel Trajectory Identification Using Truncated Viterbi Algorithm. ICASSP Zheng Dong, Yifei Yang, Yao Xie
2020	J	`jnl`	Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling. CoRR Shixiang Zhu, Ruyi Ding, Minghe Zhang, Pascal Van Hentenryck, Yao Xie
2020	A*	`conf`	Temporal Logic Point Processes. ICML Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song
2020	J	`jnl`	Two-sample Test using Projected Wasserstein Distance: Breaking the Curse of Dimensionality. CoRR Jie Wang, Rui Gao, Yao Xie
2020	A*	`conf`	Uncertainty Quantification for Inferring Hawkes Networks. NeurIPS Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie
2020	J	`jnl`	Uncertainty Quantification for Inferring Hawkes Networks. CoRR Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie
2019	J	`jnl`	Adversarial Anomaly Detection for Marked Spatio-Temporal Streaming Data. CoRR Shixiang Zhu, Henry Shaowu Yuchi, Yao Xie
2019	B	`conf`	Asynchronous Multi-Sensor Change-Point Detection for Seismic Tremors. ISIT Liyan Xie, Yao Xie, George V. Moustakides
2019	Misc	`conf`	Crime Event Embedding with Unsupervised Feature Selection. ICASSP Shixiang Zhu, Yao Xie
2019	J	`jnl`	Crime Linkage Detection by Spatio-Temporal-Textual Point Processes. CoRR Shixiang Zhu, Yao Xie
2019	J	`jnl`	Goodness-of-fit tests on manifolds. CoRR Alexander Shapiro, Yao Xie, Rui Zhang
2019	A*	`conf`	Learning Transformation Synchronization. CVPR Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas J. Guibas, Qixing Huang
2019	J	`jnl`	Learning Transformation Synchronization. CoRR Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas J. Guibas, Qixing Huang
2019	Misc	`conf`	Low-Rank Matrix Completion for Distributed Ambient Noise Imaging Systems. ACSSC Danye Xu, Bingqing Song, Yao Xie, Sin-Mei Wu, Fan-Chi Lin, Wenzhan Song
2019	J	`jnl`	Matrix Completion With Deterministic Pattern: A Geometric Perspective. IEEE Trans. Signal Process. Alexander Shapiro, Yao Xie, Rui Zhang
2019	A	`conf`	Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit. AISTATS Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie
2019	J	`jnl`	Online Community Detection by Spectral CUSUM. CoRR Minghe Zhang, Liyan Xie, Yao Xie
2019	J	`jnl`	Quickest detection of cascading failure. CoRR Rui Zhang, Rui Yao, Yao Xie, Feng Qiu
2019	J	`jnl`	Reinforcement Learning of Spatio-Temporal Point Processes. CoRR Shixiang Zhu, Shuang Li, Yao Xie
2019	J	`jnl`	Sketching for sequential change-point detection. EURASIP J. Adv. Signal Process. Yang Cao, Andrew Thompson, Meng Wang, Yao Xie
2019	Misc	`conf`	Statistical Rank Selection for Incomplete Low-rank Matrices. ICASSP Rui Zhang, Alexander Shapiro, Yao Xie
2018	Misc	`conf`	Communication Efficient Signal Detection for Distributed Ambient Noise Imaging. ACSSC Liyan Xie, Yao Xie, Sin-Mei Wu, Fan-Chi Lin, Wen-Zhan Song
2018	J	`jnl`	Crime Event Embedding with Unsupervised Feature Selection. CoRR Shixiang Zhu, Yao Xie
2018	Misc	`conf`	Crime Incidents Embedding Using Restricted Boltzmann Machines. ICASSP Shixiang Zhu, Yao Xie
2018	—	`conf`	First-Order Optimal Sequential Subspace Change-Point Detection. GlobalSIP Liyan Xie, George V. Moustakides, Yao Xie
2018	A*	`conf`	Learning Temporal Point Processes via Reinforcement Learning. NeurIPS Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song
2018	J	`jnl`	Learning Temporal Point Processes via Reinforcement Learning. CoRR Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song
2018	J	`jnl`	Matrix completion with deterministic pattern - a geometric perspective. CoRR Alexander Shapiro, Yao Xie, Rui Zhang
2018	B	`conf`	Maximum Entropy Low-Rank Matrix Recovery. ISIT Simon Mak, Yao Xie
2018	J	`jnl`	Maximum Entropy Low-Rank Matrix Recovery. IEEE J. Sel. Top. Signal Process. Simon Mak, Yao Xie
2018	J	`jnl`	Multi-sensor slope change detection. Ann. Oper. Res. Yang Cao, Yao Xie, Nagi Gebraeel
2018	J	`jnl`	Nearly Optimal Adaptive Procedure for Piecewise-Stationary Bandit: a Change-Point Detection Approach. CoRR Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie
2018	A	`conf`	Nearly second-order optimality of online joint detection and estimation via one-sample update schemes. AISTATS Yang Cao, Liyan Xie, Yao Xie, Huan Xu
2018	J	`jnl`	On the effect of model mismatch for sequential Info-Greedy Sensing. EURASIP J. Adv. Signal Process. Ruiyang Song, Yao Xie, Sebastian Pokutta
2018	A*	`conf`	Robust Hypothesis Testing Using Wasserstein Uncertainty Sets. NeurIPS Rui Gao, Liyan Xie, Yao Xie, Huan Xu
2018	J	`jnl`	Robust Hypothesis Testing Using Wasserstein Uncertainty Sets. CoRR Rui Gao, Liyan Xie, Yao Xie, Huan Xu
2018	Misc	`conf`	Sequential Adaptive Detection for In-Situ Transmission Electron Microscopy (TEM). ICASSP Yang Cao, Shixiang Zhu, Yao Xie, Jordan Key, Josh Kacher, Raymond R. Unocic, Christopher M. Rouleau
2018	J	`jnl`	Sequential Change-Point Detection via Online Convex Optimization. Entropy Yang Cao, Liyan Xie, Yao Xie, Huan Xu
2018	Misc	`conf`	Sequential Graph Scanning Statistic for Change-point Detection. ACSSC Xi He, Yao Xie, Sin-Mei Wu, Fan-Chi Lin
2017	J	`jnl`	Crime incidents embedding using restricted Boltzmann machines. CoRR Shixiang Zhu, Yao Xie
2017	J	`jnl`	Detecting Changes in Dynamic Events Over Networks. IEEE Trans. Signal Inf. Process. over Networks Shuang Li, Yao Xie, Mehrdad Farajtabar, Apurv Verma, Le Song
2017	J	`jnl`	Maximum entropy low-rank matrix recovery. CoRR Simon Mak, Yao Xie
2017	J	`jnl`	Near-optimality of sequential joint detection and estimation via online mirror descent. CoRR Yang Cao, Yao Xie, Huan Xu
2017	—	`conf`	PMU-based online change-point detection of imbalance in three-phase power systems. ISGT Tirza Routtenberg, Yao Xie
2017	B	`conf`	Real-Time Ambient Noise Subsurface Imaging in Distributed Sensor Networks. SMARTCOMP Maria Valero, José Clemente, Goutham Kamath, Yao Xie, Fan-Chi Lin, Wenzhan Song
2017	B	`conf`	Robust sequential change-point detection by convex optimization. ISIT Yang Cao, Yao Xie
2017	—	`conf`	Sequential detection of low-rank changes using extreme eigenvalues. CAMSAP Liyan Xie, Yao Xie
2016	J	`jnl`	Data-Driven Threshold Machine: Scan Statistics, Change-Point Detection, and Extreme Bandits. CoRR Shuang Li, Yao Xie, Le Song
2016	J	`jnl`	Detecting weak changes in dynamic events over networks. CoRR Shuang Li, Yao Xie, Mehrdad Farajtabar, Le Song
2016	Misc	`conf`	Dynamic change-point detection using similarity networks. ACSSC Shanshan Cao, Yao Xie
2016	—	`conf`	Online seismic event picking via sequential change-point detection. Allerton Shuang Li, Yang Cao, Christina Leamon, Yao Xie, Lei Shi, Wen-Zhan Song
2016	J	`jnl`	Poisson Matrix Recovery and Completion. IEEE Trans. Signal Process. Yang Cao, Yao Xie
2016	Misc	`conf`	Robust adaptive beamforming based on DOA support using decomposed coprime subarrays. ICASSP Chengwei Zhou, Yujie Gu, Wen-Zhan Song, Yao Xie, Zhiguo Shi
2016	J	`jnl`	Sequential Low-Rank Change Detection. CoRR Yao Xie, Lee M. Seversky
2016	—	`conf`	Sequential low-rank change detection. Allerton Yao Xie, Lee M. Seversky
2015	J	`jnl`	Categorical Matrix Completion. CoRR Yang Cao, Yao Xie
2015	—	`conf`	Categorical matrix completion. CAMSAP Yang Cao, Yao Xie
2015	J	`jnl`	Info-Greedy Sequential Adaptive Compressed Sensing. IEEE J. Sel. Top. Signal Process. Gábor Braun, Sebastian Pokutta, Yao Xie
2015	—	`conf`	M-Statistic for Kernel Change-Point Detection. NIPS Shuang Li, Yao Xie, Hanjun Dai, Le Song
2015	J	`jnl`	M-Statistic for Kernel Change-Point Detection. CoRR Shuang Li, Yao Xie, Hanjun Dai, Le Song
2015	J	`jnl`	Multi-Sensor Slope Change Detection. CoRR Yang Cao, Yao Xie, Nagi Gebraeel
2015	—	`conf`	Multi-sensor gradual change detection. Allerton Yang Cao, Yao Xie
2015	J	`jnl`	Online Supervised Subspace Tracking. CoRR Yao Xie, Ruiyang Song, Hanjun Dai, Qingbin Li, Le Song
2015	J	`jnl`	Poisson Matrix Completion. CoRR Yang Cao, Yao Xie
2015	J	`jnl`	Poisson Matrix Recovery and Completion. CoRR Yang Cao, Yao Xie
2015	B	`conf`	Poisson matrix completion. ISIT Yang Cao, Yao Xie
2015	J	`jnl`	Sequential Changepoint Approach for Online Community Detection. IEEE Signal Process. Lett. David Marangoni-Simonsen, Yao Xie
2015	J	`jnl`	Sequential Information Guided Sensing. CoRR Ruiyang Song, Yao Xie, Sebastian Pokutta
2015	J	`jnl`	Sequential Sensing with Model Mismatch. CoRR Ruiyang Song, Yao Xie, Sebastian Pokutta
2015	B	`conf`	Sequential sensing with model mismatch. ISIT Ruiyang Song, Yao Xie, Sebastian Pokutta
2015	J	`jnl`	Sketching for Sequential Change-Point Detection. CoRR Yao Xie, Meng Wang, Andrew Thompson
2015	—	`conf`	Sketching for sequential change-point detection. GlobalSIP Yao Xie, Meng Wang, Andrew Thompson
2015	J	`jnl`	System Informatics: From Methodology to Applications. IEEE Intell. Syst. 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
2014	J	`jnl`	Info-Greedy sequential adaptive compressed sensing. CoRR Gábor Braun, Sebastian Pokutta, Yao Xie
2014	—	`conf`	Info-greedy sequential adaptive compressed sensing. Allerton Gábor Braun, Sebastian Pokutta, Yao Xie
2014	J	`jnl`	Low-rank matrix recovery in Poisson noise. CoRR Yang Cao, Yao Xie
2014	—	`conf`	Low-rank matrix recovery in poisson noise. GlobalSIP Yang Cao, Yao Xie
2014	J	`jnl`	Sequential Changepoint Approach for Online Community Detection. CoRR David Marangoni-Simonsen, Yao Xie
2013	J	`jnl`	Change-Point Detection for High-Dimensional Time Series With Missing Data. IEEE J. Sel. Top. Signal Process. Yao Xie, Jiaji Huang, Rebecca Willett
2013	J	`jnl`	Compressive Demodulation of Mutually Interfering Signals CoRR Yuejie Chi, Yao Xie, A. Robert Calderbank
2013	J	`jnl`	Finding Zeros: Greedy Detection of Holes CoRR Juhwan Yoo, Yao Xie, Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank
2013	—	`conf`	Low-rank matrix recovery with poison noise. GlobalSIP Yao Xie, Yuejie Chi, A. Robert Calderbank
2013	J	`jnl`	On group coherence of frames. CoRR Andrew Thompson, Yao Xie, A. Robert Calderbank
2013	Misc	`conf`	Online logistic regression on manifolds. ICASSP Yao Xie, Rebecca Willett
2013	J	`jnl`	Reduced-Dimension Multiuser Detection. IEEE Trans. Inf. Theory Yao Xie, Yonina C. Eldar, Andrea Goldsmith
2012	J	`jnl`	Changepoint detection for high-dimensional time series with missing data CoRR Yao Xie, Jiaji Huang, Rebecca Willett
2012	—	`conf`	Compressive demodulation of mutually interfering signals. SSP Yao Xie, Yuejie Chi, Lorne Applebaum, A. Robert Calderbank
2012	—	`conf`	Multiscale online tracking of manifolds. SSP Yao Xie, Jiaji Huang, Rebecca Willett
2012	—	`conf`	Reduced-dimension multiuser detection. ICC Yao Xie, Yonina C. Eldar, Andrea J. Goldsmith
2011	J	`jnl`	Reduced-Dimension Multiuser Detection CoRR Yao Xie, Yonina C. Eldar, Andrea J. Goldsmith
2011	J	`jnl`	Reduced-dimension multiuser detection: detectors and performance guarantees CoRR Yao Xie, Yonina C. Eldar, Andrea J. Goldsmith
2011	J	`jnl`	The Diversity-Multiplexing-Delay Tradeoff in MIMO Multihop Networks with ARQ CoRR Yao Xie, Deniz Gündüz, Andrea J. Goldsmith
2010	B	`conf`	Diversity-multiplexing-delay tradeoffs in MIMO multihop networks with ARQ. ISIT Yao Xie, Andrea Goldsmith
2010	J	`jnl`	Dynamic spectrum management with the competitive market model. IEEE Trans. Signal Process. Yao Xie, Benjamin Armbruster, Yinyu Ye
2010	—	`conf`	Reduced-dimension multiuser detection. Allerton Yao Xie, Yonina C. Eldar, Andrea Goldsmith
2009	J	`jnl`	Diversity-Multiplexing-Delay Tradeoffs in MIMO Multihop Networks with ARQ CoRR Yao Xie, Andrea J. Goldsmith
2009	B	`conf`	Multihop MIMO Relay Networks with ARQ. GLOBECOM Yao Xie, Deniz Gündüz, Andrea J. Goldsmith
2008	J	`jnl`	Adaptive and Robust Methods of Reconstruction (ARMOR) for Thermoacoustic Tomography. IEEE Trans. Biomed. Eng. Yao Xie, Bin Guo, Jian Li, Geng Ku, Lihong V. Wang
2007	J	`jnl`	Beampattern Synthesis via a Matrix Approach for Signal Power Estimation. IEEE Trans. Signal Process. Jian Li, Yao Xie, Petre Stoica, Xiayu Zheng, James Ward
2007	J	`jnl`	MIMO Transmit Beamforming Under Uniform Elemental Power Constraint. IEEE Trans. Signal Process. Xiayu Zheng, Yao Xie, Jian Li, Petre Stoica
2007	J	`jnl`	On Probing Signal Design For MIMO Radar. IEEE Trans. Signal Process. Petre Stoica, Jian Li, Yao Xie
2007	—	`conf`	Optimal Array Pattern Synthesis via Matrix Weighting. ICASSP (2) Yao Xie, Jian Li, Xiayu Zheng, James Ward
2006	J	`jnl`	Multistatic Adaptive Microwave Imaging for Early Breast Cancer Detection. IEEE Trans. Biomed. Eng. Yao Xie, Bin Guo, Luzhou Xu, Jian Li, Peter Stoica
2006	J	`jnl`	Novel Multistatic Adaptive Microwave Imaging Methods for Early Breast Cancer Detection. EURASIP J. Adv. Signal Process. Yao Xie, Bin Guo, Jian Li, Petre Stoica
2006	—	`conf`	On Multi-Static Adaptive Microwave Imaging Methods for Early Breast Cancer Detection. ICASSP (2) Yao Xie, Bin Guo, Jian Li, Petre Stoica