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Liyan Xie
Person information
- affiliation: The Chinese University of Hong Kong, Shenzhen, China
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2020 – today
- 2024
- [j11]Xiaojun Zheng, Simon Mak
, Liyan Xie, Yao Xie:
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions. Stat. Anal. Data Min. 17(2) (2024) - [c16]Liyan Xie, Yuchen Liang, Venugopal V. Veeravalli:
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets. AISTATS 2024: 1063-1071 - [c15]Yiran Yang, Liyan Xie:
Sequential Wasserstein Uncertainty Sets for Minimax Robust Online Change Detection. ICASSP 2024: 9491-9495 - [c14]Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng:
Transfer Learning for Diffusion Models. NeurIPS 2024 - [i15]Mohamed Seif, Liyan Xie, Andrea J. Goldsmith, H. Vincent Poor:
Private Online Community Detection for Censored Block Models. CoRR abs/2405.05724 (2024) - [i14]Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng:
Transfer Learning for Diffusion Models. CoRR abs/2405.16876 (2024) - [i13]Aoran Zhang, Wenbin Zhou, Liyan Xie, Shixiang Zhu:
Recurrent Neural Goodness-of-Fit Test for Time Series. CoRR abs/2410.13986 (2024) - 2023
- [j10]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) - [j9]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) - [j8]Minghe Zhang, Liyan Xie
, Yao Xie
:
Spectral CUSUM for Online Network Structure Change Detection. IEEE Trans. Inf. Theory 69(7): 4691-4707 (2023) - [j7]Liyan Xie
, George V. Moustakides
, Yao Xie
:
Window-Limited CUSUM for Sequential Change Detection. IEEE Trans. Inf. Theory 69(9): 5990-6005 (2023) - [c13]Yidong Ouyang, Liyan Xie, Guang Cheng:
Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process. ICML 2023: 26699-26723 - [i12]Yixuan Tan, Liyan Xie, Xiuyuan Cheng:
Neural Differential Recurrent Neural Network with Adaptive Time Steps. CoRR abs/2306.01674 (2023) - [i11]Yidong Ouyang, Liyan Xie, Chongxuan Li, Guang Cheng:
MissDiff: Training Diffusion Models on Tabular Data with Missing Values. CoRR abs/2307.00467 (2023) - 2022
- [j6]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) - [c12]Liyan Xie:
Minimax Robust Quickest Change Detection using Wasserstein Ambiguity Sets. ISIT 2022: 1909-1914 - [c11]Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie:
Distributionally robust weighted k-nearest neighbors. NeurIPS 2022 - [i10]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) - [i9]Yidong Ouyang, Liyan Xie, Guang Cheng:
Improving Adversarial Robustness by Contrastive Guided Diffusion Process. CoRR abs/2210.09643 (2022) - 2021
- [j5]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) - [j4]Liyan Xie
, Yao Xie
:
Sequential Change Detection by Optimal Weighted ℓ₂ Divergence. IEEE J. Sel. Areas Inf. Theory 2(2): 747-761 (2021) - [j3]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) - [c10]Liyan Xie, Yao Xie:
Optimality of Graph Scanning Statistic for Online Community Detection. ISIT 2021: 386-390 - [i8]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) - [i7]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) - [i6]Jingge Wang, Yang Li, Liyan Xie, Yao Xie:
Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization. CoRR abs/2109.03676 (2021) - 2020
- [j2]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) - [c9]Minghe Zhang, Liyan Xie, Yao Xie:
Online Community Detection by Spectral Cusum. ICASSP 2020: 3402-3406 - [c8]Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie:
Uncertainty Quantification for Inferring Hawkes Networks. NeurIPS 2020 - [i5]Anatoli B. Juditsky, Arkadi Nemirovski, Liyan Xie, Yao Xie:
Convex Recovery of Marked Spatio-Temporal Point Processes. CoRR abs/2003.12935 (2020) - [i4]Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie:
Distributionally Robust $k$-Nearest Neighbors for Few-Shot Learning. CoRR abs/2006.04004 (2020) - [i3]Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie:
Uncertainty Quantification for Inferring Hawkes Networks. CoRR abs/2006.07506 (2020)
2010 – 2019
- 2019
- [c7]Liyan Xie, Yao Xie, George V. Moustakides:
Asynchronous Multi-Sensor Change-Point Detection for Seismic Tremors. ISIT 2019: 787-791 - [i2]Minghe Zhang, Liyan Xie, Yao Xie:
Online Community Detection by Spectral CUSUM. CoRR abs/1910.09083 (2019) - 2018
- [j1]Yang Cao, Liyan Xie, Yao Xie
, Huan Xu
:
Sequential Change-Point Detection via Online Convex Optimization. Entropy 20(2): 108 (2018) - [c6]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 - [c5]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 - [c4]Liyan Xie, George V. Moustakides, Yao Xie:
First-Order Optimal Sequential Subspace Change-Point Detection. GlobalSIP 2018: 111-115 - [c3]Rui Gao, Liyan Xie, Yao Xie, Huan Xu:
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets. NeurIPS 2018: 7913-7923 - [i1]Rui Gao, Liyan Xie, Yao Xie, Huan Xu:
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets. CoRR abs/1805.10611 (2018) - 2017
- [c2]Liyan Xie, Yao Xie:
Sequential detection of low-rank changes using extreme eigenvalues. CAMSAP 2017: 1-5 - 2016
- [c1]Yuanlong Yu, Liyan Xie, Zhiyong Huang:
An object tracking method using extreme learning machine with online learning. SSCI 2016: 1-7
Coauthor Index
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