activity
20122023
most citedSequential multi-sensor change-point detection

151 citations · 632 across the 84 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

stat.OT2019★ 1 cited

Online detection of cascading change-points

Rui Zhang, Yao Xie, Rui Yao +1

We propose an online detection procedure for cascading failures in the network from sequential data, which can be modeled as multiple correlated change-points happening during a sh…

stat.ML2019★ 2 cited

Sequential Adversarial Anomaly Detection for One-Class Event Data

Shixiang Zhu, Henry Shaowu Yuchi, Minghe Zhang +1

We consider the sequential anomaly detection problem in the one-class setting when only the anomalous sequences are available and propose an adversarial sequential detector by solv…

math.ST2019

Spectral CUSUM for Online Network Structure Change Detection

Minghe Zhang, Liyan Xie, Yao Xie

Detecting abrupt changes in the community structure of a network from noisy observations is a fundamental problem in statistics and machine learning. This paper presents an online…

stat.ML2019★ 5 cited

Goodness-of-fit tests on manifolds

Alexander Shapiro, Yao Xie, Rui Zhang

We develop a general theory for the goodness-of-fit test to non-linear models. In particular, we assume that the observations are noisy samples of a submanifold defined by a \yao{s…

cs.LG2019★ 3 cited

Imitation Learning of Neural Spatio-Temporal Point Processes

Shixiang Zhu, Shuang Li, Zhigang Peng +1

We present a novel Neural Embedding Spatio-Temporal (NEST) point process model for spatio-temporal discrete event data and develop an efficient imitation learning (a type of reinfo…

stat.AP2019★ 1 cited

Asynchronous Multi-Sensor Change-Point Detection for Seismic Tremors

Liyan Xie, Yao Xie, George V. Moustakides

We consider the sequential change-point detection for asynchronous multi-sensors, where each sensor observe a signal (due to change-point) at different times. We propose an asynchr…