17 citations · 39 across the 9 of their papers we have counts for
9 papers
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…
A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults with Application to Multistation Assembly Systems
Jihoon Chung, Zhenyu Kong
Sensor technology developments provide a basis for effective fault diagnosis in manufacturing systems. However, the limited number of sensors due to physical constraints or undue c…
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee
Chenyang Li, Jihoon Chung, Mengnan Du +3
Model compression is a crucial part of deploying neural networks (NNs), especially when the memory and storage of computing devices are limited in many applications. This paper foc…
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…
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…
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…
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…
HAA500: Human-Centric Atomic Action Dataset with Curated Videos
Jihoon Chung, Cheng-hsin Wuu, Hsuan-ru Yang +2
We contribute HAA500, a manually annotated human-centric atomic action dataset for action recognition on 500 classes with over 591K labeled frames. To minimize ambiguities in actio…
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
Ho Kei Cheng, Jihoon Chung, Yu-Wing Tai +1
State-of-the-art semantic segmentation methods were almost exclusively trained on images within a fixed resolution range. These segmentations are inaccurate for very high-resolutio…