activity
20182022
most citedA novel approach for fusion of heterogeneous sources of data

70 citations · 84 across the 13 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

stat.AP2019★ 1 cited

Effective Model Calibration via Sensible Variable Identification and Adjustment, with Application to Composite Fuselage Simulation

Yan Wang, Xiaowei Yue, Rui Tuo +2

Estimation of model parameters of computer simulators, also known as calibration, is an important topic in many engineering applications. In this paper, we consider the calibration…

stat.ML2019

AKMD : An Adaptive Framework for Online Sensing and Anomaly Quantification

Hao Yan, Kamran Paynabar, Jianjun Shi

In point-based sensing systems such as coordinate measuring machines (CMM) and laser ultrasonics where complete sensing is impractical due to the high sensing time and cost, adapti…

eess.SP2019

Learning the Treatment Effects on FTIR Signals Subject to Multiple Sources of Uncertainties

Hongzhen Tian, Andi Wang, Jialei Chen +5

Fourier-transform infrared spectroscopy (FTIR) is a versatile technique for characterizing the chemical composition of the various uncertainties, including baseline shift and multi…

math.ST2019★ 2 cited

Robustness and Tractability for Non-convex M-estimators

Ruizhi Zhang, Yajun Mei, Jianjun Shi +1

We investigate two important properties of M-estimator, namely, robustness and tractability, in linear regression setting, when the observations are contaminated by some arbitrary…

stat.AP2019★ 1 cited

High Dimensional Process Monitoring Using Robust Sparse Probabilistic Principal Component Analysis

Mohammad Nabhan, Yajun Mei, Jianjun Shi

High dimensional data has introduced challenges that are difficult to address when attempting to implement classical approaches of statistical process control. This has made it a t…