8 citations · 25 across the 12 of their papers we have counts for
13 papers
Derivative-Informed Training of Neural Operators On-the-Fly via Sketched Tangent Consistency
Xinhan Yang, Lu Lu, Shancong Mou
Derivative-informed training improves neural operators by directly supervising their input-output sensitivities, which is crucial when neural operators are used as differentiable s…
Natural Hypergradient Descent: Algorithm Design, Convergence Analysis, and Parallel Implementation
Deyi Kong, Zaiwei Chen, Shuzhong Zhang +1
In this work, we propose Natural Hypergradient Descent (NHGD), a new method for solving bilevel optimization problems. To address the computational bottleneck in hypergradient esti…
Synth4Seg -- Learning Defect Data Synthesis for Defect Segmentation using Bi-level Optimization
Shancong Mou, Raviteja Vemulapalli, Shiyu Li +8
Defect segmentation is crucial for quality control in advanced manufacturing, yet data scarcity poses challenges for state-of-the-art supervised deep learning. Synthetic defect dat…
Uni-3DAD: GAN-Inversion Aided Universal 3D Anomaly Detection on Model-free Products
Jiayu Liu, Shancong Mou, Nathan Gaw +1
Anomaly detection is a long-standing challenge in manufacturing systems. Traditionally, anomaly detection has relied on human inspectors. However, 3D point clouds have gained atten…
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON
Haoping Bai, Shancong Mou, Tatiana Likhomanenko +6
Despite progress in vision-based inspection algorithms, real-world industrial challenges -- specifically in data availability, quality, and complex production requirements -- often…
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
Shancong Mou, Xiaoyi Gu, Meng Cao +4
Generative adversarial networks (GANs), trained on a large-scale image dataset, can be a good approximator of the natural image manifold. GAN-inversion, using a pre-trained generat…
Convex Relaxation for Optimal Fixture Layout Design
Zhen Zhong, Shancong Mou, Jeffrey H. Hunt +1
This paper proposes a general fixture layout design framework that directly integrates the system equation with the convex relaxation method. Note that the optimal fixture design p…
Synthetic Defect Generation for Display Front-of-Screen Quality Inspection: A Survey
Shancong Mou, Meng Cao, Zhendong Hong +3
Display front-of-screen (FOS) quality inspection is essential for the mass production of displays in the manufacturing process. However, the severe imbalanced data, especially the…
PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation
Shancong Mou, Meng Cao, Haoping Bai +3
Unsupervised pixel-level defective region segmentation is an important task in image-based anomaly detection for various industrial applications. The state-of-the-art methods have…
Compressed Smooth Sparse Decomposition
Shancong Mou, Jianjun Shi
Image-based anomaly detection systems are of vital importance in various manufacturing applications. The resolution and acquisition rate of such systems is increasing significantly…
Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization
Zaiwei Chen, Shancong Mou, Siva Theja Maguluri
Stochastic approximation (SA) and stochastic gradient descent (SGD) algorithms are work-horses for modern machine learning algorithms. Their constant stepsize variants are preferre…
Additive Tensor Decomposition Considering Structural Data Information
Shancong Mou, Andi Wang, Chuck Zhang +1
Tensor data with rich structural information becomes increasingly important in process modeling, monitoring, and diagnosis. Here structural information is referred to structural pr…
Heavy Traffic Queue Length Behaviour in a Switch under Markovian Arrivals
Shancong Mou, Siva Theja Maguluri
This paper studies the input queued switch operating under the MaxWeight algorithm when the arrivals are according to a Markovian process. We exactly characterize the heavy-traffic…