Shape deviation modeling for fused deposition modeling processes. - Suoyuan Song; Andi Wang 001; Qiang Huang 001; Fugee Tsung (CASE, 2014)

A Statistical Transfer Learning Perspective for Modeling Shape Deviations in Additive Manufacturing. - Longwei Cheng; Fugee Tsung; Andi Wang 001 (IEEE Robotics Autom. Lett., 2017)

In-Plane Shape-Deviation Modeling and Compensation for Fused Deposition Modeling Processes. - Andi Wang 001; Suoyuan Song; Qiang Huang 001; Fugee Tsung (IEEE Trans Autom. Sci. Eng., 2017)

A Nonparametric Adaptive Sampling Strategy for Online Monitoring of Big Data Streams. - Xiaochen Xian; Andi Wang 001; Kaibo Liu (Technometrics, 2018)

Holistic modeling and analysis of multistage manufacturing processes with sparse effective inputs and mixed profile outputs. - Andi Wang 001; Jianjun Shi 001 (IISE Trans., 2021)

Additive Tensor Decomposition Considering Structural Data Information. - Shancong Mou; Andi Wang 001; Chuck Zhang; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2022)

Treatment Effect Modeling for FTIR Signals Subject to Multiple Sources of Uncertainties. - Hongzhen Tian; Andi Wang 001; Jialei Chen 002; Xuzhou Jiang; Jianjun Shi 001; Chuck Zhang; Yajun Mei; Ben Wang 001 (IEEE Trans Autom. Sci. Eng., 2022)

Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation. - Andi Wang 001; Juan Du 009; Xi Zhang 006; Jianjun Shi 001 (Technometrics, 2022)

A Unified Probabilistic Framework for Spatiotemporal Passenger Crowdedness Inference within Urban Rail Transit Network. - Min Jiang; Andi Wang 001; Ziyue Li 002; Fugee Tsung (CASE, 2023)

Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering. - Ziyue Li 002; Hao Yan; Chen Zhang 007; Andi Wang 001; Wolfgang Ketter; Lijun Sun 001; Fugee Tsung (CoRR, 2023)

Ano-SuPs: Multi-size anomaly detection for manufactured products by identifying suspected patches. - Hao Xu; Juan Du 009; Andi Wang 001 (CoRR, 2023)

Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things. - Xianjian Xie; Xiaochen Xian; Dan Li; Andi Wang 001 (CoRR, 2023)

SGL-PCA: Health Index Construction With Sensor Sparsity and Temporal Monotonicity for Mixed High-Dimensional Signals. - Feng Wang 024; Andi Wang 001; Tao Tang 004; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2023)

Adaptive Sampling and Quick Anomaly Detection in Large Networks. - Xiaochen Xian; Alexander Semenov; Yaodan Hu; Andi Wang 001; Yier Jin (IEEE Trans Autom. Sci. Eng., 2023)

Flexible Degradation Modeling via the Integration of Local Models and Importance Sampling. - Di Wang 019; Andi Wang 001; Changyue Song (IEEE Trans. Instrum. Meas., 2024)

Efficient Online Cross-Covariance Monitoring With Incremental SVD: An Approach for the Detection of Emerging Dependency Patterns in IoT Systems. - Xinmiao Luan; Qing Zou; Jian Li; Andi Wang 001 (Qual. Reliab. Eng. Int., 2025)

Deep Learning-Based Sensor Selection for Failure Mode Recognition and Prognostics Under Time-Varying Operating Conditions. - Yuhui Wang 003; Andi Wang 001; Di Wang 019; Dong Wang 001 (IEEE Trans Autom. Sci. Eng., 2025)

Distributed Primal-Dual Algorithms: Unification, Connections, and Insights. - Runxiong Wu; Dong Liu; Xueqin Wang; Andi Wang 001 (CoRR, 2025)

Partially Observable Online Nonparametric Monitoring of Spatiotemporally Correlated Data Streams. - Di Wang 019; Andi Wang 001; Xiaochen Xian; Yongxiang Li (Technometrics, 2025)