Analysis of data-based methods for approximating fisher information in the scalar case. - Shenghan Guo (CISS, 2015)

Comparison of Accuracy for Methods to Approximate Fisher Information in the Scalar Case. - Shenghan Guo (CoRR, 2015)

Hierarchical spatial-temporal modeling and monitoring of melt pool evolution in laser-based additive manufacturing. - Shenghan Guo; Weihong Guo 001; Linkan Bian (IISE Trans., 2020)

Nonparametric, real-time detection of process deteriorations in manufacturing with parsimonious smoothing. - Shenghan Guo; Weihong Guo 001; Amir Abolhassani; Rajeev Kalamdani (IISE Trans., 2021)

Process Monitoring and Fault Prediction in Multivariate Time Series Using Bag-of-Words. - Shenghan Guo; Weihong Guo 001 (IEEE Trans Autom. Sci. Eng., 2022)

UIR-Net: Object Detection in Infrared Imaging of Thermomechanical Processes in Automotive Manufacturing. - Shenghan Guo; Dali Wang; Zhili Feng; Weihong Grace Guo (IEEE Trans Autom. Sci. Eng., 2022)

Di-CNN: Domain-Knowledge-Informed Convolutional Neural Network for Manufacturing Quality Prediction. - Shenghan Guo; Dali Wang; Zhili Feng; Jian Chen 033; Weihong Guo 001 (Sensors, 2023)

A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition. - Shenghan Guo; Weihong Guo 001; Linkan Bian; Yuebin Guo (IEEE Trans Autom. Sci. Eng., 2023)

Computer-Vision-Enabled Worker Video Analysis for Motion Amount Quantification. - Hari N. Iyer; Neel Macwan; Shenghan Guo; Heejin Jeong (CoRR, 2024)

Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration. - Naichen Shi; Hao Yan; Shenghan Guo; Raed Al Kontar (IEEE Trans Autom. Sci. Eng., 2025)

Generative AI-Driven High-Fidelity Human Motion Simulation. - Hari N. Iyer; Neel Macwan; Atharva Jitendra Hude; Heejin Jeong; Shenghan Guo (CoRR, 2025)