Liyan Xie

Orcid: 0000-0003-3009-4514

Affiliations:

The Chinese University of Hong Kong, Shenzhen, China

According to our database¹, Liyan Xie authored at least 32 papers between 2016 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Window-Limited CUSUM for Sequential Change Detection.

[BibT_eX]

[DOI]

Liyan Xie

George V. Moustakides

Yao Xie

IEEE Trans. Inf. Theory, September, 2023

Spectral CUSUM for Online Network Structure Change Detection.

[BibT_eX]

[DOI]

Minghe Zhang

Liyan Xie

Yao Xie

IEEE Trans. Inf. Theory, July, 2023

PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis.

[BibT_eX]

[DOI]

Technometrics, April, 2023

Sequential Change-Point Detection for Mutually Exciting Point Processes.

[BibT_eX]

[DOI]

Technometrics, January, 2023

MissDiff: Training Diffusion Models on Tabular Data with Missing Values.

[BibT_eX]

[DOI]

CoRR, 2023

Neural Differential Recurrent Neural Network with Adaptive Time Steps.

[BibT_eX]

[DOI]

Yixuan Tan

Liyan Xie

Xiuyuan Cheng

CoRR, 2023

Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process.

[BibT_eX]

[DOI]

Yidong Ouyang

Liyan Xie

Guang Cheng

Proceedings of the International Conference on Machine Learning, 2023

2022

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2022

Improving Adversarial Robustness by Contrastive Guided Diffusion Process.

[BibT_eX]

[DOI]

Yidong Ouyang

Liyan Xie

Guang Cheng

CoRR, 2022

Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge.

[BibT_eX]

[DOI]

CoRR, 2022

Distributionally robust weighted k-nearest neighbors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Minimax Robust Quickest Change Detection using Wasserstein Ambiguity Sets.

[BibT_eX]

[DOI]

Liyan Xie

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

High-Resolution Spatio-Temporal Model for County-Level COVID-19 Activity in the U.S.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., 2021

Sequential (Quickest) Change Detection: Classical Results and New Directions.

[BibT_eX]

[DOI]

Liyan Xie

Shaofeng Zou

Yao Xie

Venugopal V. Veeravalli

IEEE J. Sel. Areas Inf. Theory, 2021

Sequential Change Detection by Optimal Weighted ℓ₂ Divergence.

[BibT_eX]

[DOI]

Liyan Xie

Yao Xie

IEEE J. Sel. Areas Inf. Theory, 2021

Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data.

[BibT_eX]

[DOI]

CoRR, 2021

Sequential change-point detection for mutually exciting point processes over networks.

[BibT_eX]

[DOI]

CoRR, 2021

Optimality of Graph Scanning Statistic for Online Community Detection.

[BibT_eX]

[DOI]

Liyan Xie

Yao Xie

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Convex Parameter Recovery for Interacting Marked Processes.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2020

Distributionally Robust $k$-Nearest Neighbors for Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Convex Recovery of Marked Spatio-Temporal Point Processes.

[BibT_eX]

[DOI]

CoRR, 2020

Uncertainty Quantification for Inferring Hawkes Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Community Detection by Spectral Cusum.

[BibT_eX]

[DOI]

Minghe Zhang

Liyan Xie

Yao Xie

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Asynchronous Multi-Sensor Change-Point Detection for Seismic Tremors.

[BibT_eX]

[DOI]

Liyan Xie

Yao Xie

George V. Moustakides

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Sequential Change-Point Detection via Online Convex Optimization.

[BibT_eX]

[DOI]

Entropy, 2018

Robust Hypothesis Testing Using Wasserstein Uncertainty Sets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

First-Order Optimal Sequential Subspace Change-Point Detection.

[BibT_eX]

[DOI]

Liyan Xie

George V. Moustakides

Yao Xie

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Nearly second-order optimality of online joint detection and estimation via one-sample update schemes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Communication Efficient Signal Detection for Distributed Ambient Noise Imaging.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Sequential detection of low-rank changes using extreme eigenvalues.

[BibT_eX]

[DOI]

Liyan Xie

Yao Xie

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

An object tracking method using extreme learning machine with online learning.

[BibT_eX]

[DOI]

Yuanlong Yu

Liyan Xie

Zhiyong Huang

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Liyan Xie

Timeline

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