activity
20202026
most citedSelf-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks

14 citations · 33 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Diffusion-corrected Autoregressive Fourier Neural Operator for Droplet Evolution Prediction

Jinghao Cao, Minsung Kang, Hongyue Sun +5

Predicting droplet evolution in material jetting, or Inkjet Printing (IJP), is essential for maintaining printing quality. However, long-horizon forecasts remain challenging due to…

cs.LG2022★ 3 cited

Anomaly Detection in Additive Manufacturing Processes using Supervised Classification with Imbalanced Sensor Data based on Generative Adversarial Network

Jihoon Chung, Bo Shen, Zhenyu +1

Supervised classification methods have been widely utilized for the quality assurance of the advanced manufacturing process, such as additive manufacturing (AM) for anomaly (defect…

cs.LG2022★ 4 cited

Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing

Jihoon Chung, Bo Shen, Andrew Chung Chee Law +2

Additive Manufacturing (AM) is a powerful technology that produces complex 3D geometries using various materials in a layer-by-layer fashion. However, quality assurance is the main…

stat.AP2022★ 1 cited

A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems

Jihoon Chung, Bo Shen, Zhenyu +1

This paper addresses the problem of fault diagnosis in multistation assembly systems. Fault diagnosis is to identify process faults that cause the excessive dimensional variation o…

cs.LG2022★ 14 cited

Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks

Raghav Gnanasambandam, Bo Shen, Jihoon Chung +3

Physics-informed Neural Networks (PINNs) are gaining attention in the engineering and scientific literature for solving a range of differential equations with applications in weath…

cs.CV2022★ 9 cited

Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee

Bo Shen, Weijun Xie, Zhenyu Kong

The objective of this study is to address the problem of background/foreground separation with missing pixels by combining the video acquisition, video recovery, background/foregro…

stat.ML2020★ 2 cited

Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model

Bo Shen, Yutong Zhang, Zhenyu +1

Tensor, also known as multi-dimensional array, arises from many applications in signal processing, manufacturing processes, healthcare, among others. As one of the most popular met…