An object tracking method using extreme learning machine with online learning. - Yuanlong Yu; Liyan Xie; Zhiyong Huang 005 (SSCI, 2016)

Sequential detection of low-rank changes using extreme eigenvalues. - Liyan Xie; Yao Xie 002 (CAMSAP, 2017)

Communication Efficient Signal Detection for Distributed Ambient Noise Imaging. - Liyan Xie; Yao Xie 002; Sin-Mei Wu; Fan-Chi Lin; Wen-Zhan Song 001 (ACSSC, 2018)

Nearly second-order optimality of online joint detection and estimation via one-sample update schemes. - Yang Cao 013; Liyan Xie; Yao Xie 002; Huan Xu (AISTATS, 2018)

First-Order Optimal Sequential Subspace Change-Point Detection. - Liyan Xie; George V. Moustakides; Yao Xie 002 (GlobalSIP, 2018)

Robust Hypothesis Testing Using Wasserstein Uncertainty Sets. - Rui Gao 001; Liyan Xie; Yao Xie 002; Huan Xu (NeurIPS, 2018)

Sequential Change-Point Detection via Online Convex Optimization. - Yang Cao 013; Liyan Xie; Yao Xie 002; Huan Xu (Entropy, 2018)

Asynchronous Multi-Sensor Change-Point Detection for Seismic Tremors. - Liyan Xie; Yao Xie 002; George V. Moustakides (ISIT, 2019)

Online Community Detection by Spectral Cusum. - Minghe Zhang; Liyan Xie; Yao Xie 002 (ICASSP, 2020)

Uncertainty Quantification for Inferring Hawkes Networks. - Haoyun Wang; Liyan Xie; Alex Cuozzo; Simon Mak; Yao Xie 002 (NeurIPS, 2020)

Convex Recovery of Marked Spatio-Temporal Point Processes. - Anatoli B. Juditsky; Arkadi Nemirovski; Liyan Xie; Yao Xie 002 (CoRR, 2020)

Distributionally Robust $k$-Nearest Neighbors for Few-Shot Learning. - Shixiang Zhu; Liyan Xie; Minghe Zhang; Rui Gao 001; Yao Xie 002 (CoRR, 2020)

Convex Parameter Recovery for Interacting Marked Processes. - Anatoli B. Juditsky; Arkadi Nemirovski; Liyan Xie; Yao Xie 002 (IEEE J. Sel. Areas Inf. Theory, 2020)

Optimality of Graph Scanning Statistic for Online Community Detection. - Liyan Xie; Yao Xie 002 (ISIT, 2021)

Sequential change-point detection for mutually exciting point processes over networks. - Haoyun Wang; Liyan Xie; Yao Xie 002; Alex Cuozzo; Simon Mak (CoRR, 2021)

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. - Shixiang Zhu; Alexander Bukharin; Liyan Xie; Shihao Yang 002; Pinar Keskinocak; Yao Xie 002 (CoRR, 2021)

Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization. - Jingge Wang; Yang Li 104; Liyan Xie; Yao Xie 002 (CoRR, 2021)

Sequential Change Detection by Optimal Weighted ℓ₂ Divergence. - Liyan Xie; Yao Xie 002 (IEEE J. Sel. Areas Inf. Theory, 2021)

Sequential (Quickest) Change Detection: Classical Results and New Directions. - Liyan Xie; Shaofeng Zou; Yao Xie 002; Venugopal V. Veeravalli (IEEE J. Sel. Areas Inf. Theory, 2021)

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 002; Yao Xie 002 (ACM Trans. Manag. Inf. Syst., 2021)

Minimax Robust Quickest Change Detection using Wasserstein Ambiguity Sets. - Liyan Xie (ISIT, 2022)

Distributionally robust weighted k-nearest neighbors. - Shixiang Zhu; Liyan Xie; Minghe Zhang; Rui Gao 001; Yao Xie 002 (NeurIPS, 2022)

Improving Adversarial Robustness by Contrastive Guided Diffusion Process. - Yidong Ouyang; Liyan Xie; Guang Cheng 003 (CoRR, 2022)

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. - Shixiang Zhu; Alexander Bukharin; Liyan Xie; Khurram Yamin; Shihao Yang 002; Pinar Keskinocak; Yao Xie 002 (IEEE J. Sel. Top. Signal Process., 2022)

Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process. - Yidong Ouyang; Liyan Xie; Guang Cheng 003 (ICML, 2023)

Neural Differential Recurrent Neural Network with Adaptive Time Steps. - Yixuan Tan; Liyan Xie; Xiuyuan Cheng (CoRR, 2023)

MissDiff: Training Diffusion Models on Tabular Data with Missing Values. - Yidong Ouyang; Liyan Xie; Chongxuan Li; Guang Cheng 003 (CoRR, 2023)

Sequential Change-Point Detection for Mutually Exciting Point Processes. - Haoyun Wang; Liyan Xie; Yao Xie 002; Alex Cuozzo; Simon Mak (Technometrics, 2023)

PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis. - Xiaojun Zheng; Simon Mak; Liyan Xie; Yao Xie 002 (Technometrics, 2023)

Spectral CUSUM for Online Network Structure Change Detection. - Minghe Zhang; Liyan Xie; Yao Xie 002 (IEEE Trans. Inf. Theory, 2023)

Window-Limited CUSUM for Sequential Change Detection. - Liyan Xie; George V. Moustakides; Yao Xie 002 (IEEE Trans. Inf. Theory, 2023)

Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets. - Liyan Xie; Yuchen Liang; Venugopal V. Veeravalli (AISTATS, 2024)

Sequential Wasserstein Uncertainty Sets for Minimax Robust Online Change Detection. - Yiran Yang; Liyan Xie (ICASSP, 2024)

Transfer Learning for Diffusion Models. - Yidong Ouyang; Liyan Xie; Hongyuan Zha; Guang Cheng 003 (NeurIPS, 2024)

Private Online Community Detection for Censored Block Models. - Mohamed Seif; Liyan Xie; Andrea J. Goldsmith; H. Vincent Poor (CoRR, 2024)

eRPCA: Robust Principal Component Analysis for Exponential Family Distributions. - Xiaojun Zheng; Simon Mak; Liyan Xie; Yao Xie 002 (Stat. Anal. Data Min., 2024)

Recurrent Neural Goodness-of-Fit Test for Time Series. - Aoran Zhang; Wenbin Zhou; Liyan Xie; Shixiang Zhu (AISTATS, 2025)

Differentially Private Online Community Detection for Censored Block Models: Algorithms and Fundamental Limits. - Mohamed Seif; Liyan Xie; Andrea J. Goldsmith; H. Vincent Poor (IEEE Trans. Inf. Forensics Secur., 2025)

Sequential Change Point Detection via Denoising Score Matching. - Wenbin Zhou; Liyan Xie; Zhigang Peng; Shixiang Zhu (CoRR, 2025)

Generalizing to Unseen Domains With Wasserstein Distributional Robustness Under Limited Source Knowledge. - Jingge Wang; Liyan Xie; Yao Xie 002; Shao-Lun Huang; Yang Li 104 (IEEE J. Sel. Top. Signal Process., 2025)