University of Minnesota · Industrial and Systems Engineering
Mou GroupLearning, optimization and computation for complex engineering systems Ph.D. openings →

Publications

* Graduate student advisee

2026

  1. Yang, X.*, Lu, L., Mou, S. “Derivative-Informed Training of Neural Operators On-the-Fly via Sketched Tangent Consistency.” Advances in Neural Information Processing Systems (NeurIPS), 2026.
  2. Wang, Y., Mou, S., Shi, J., Zhang, C. “DISCO: Disentangling Signal Restoration and Corruption Identification via Sample-Wise Latent Low-Rank Similarity.” INFORMS Journal on Data Science, 2026.
  3. Kong, D.*, Chen, Z., Zhang, S., Mou, S. “Natural Hypergradient Descent: Algorithm Design, Convergence Analysis and Parallel Implementation.” International Conference on Machine Learning (ICML), 2026.INFORMS QSR Best Student Paper Finalist

2025

  1. Liu, J., Mou, S., Gaw, N., Wang, Y. “Uni-3DAD: GAN-Inversion Aided Universal 3D Anomaly Detection on Model-Free Products.” Expert Systems with Applications, 2025.
  2. Mou, S., Vemulapalli, R., Li, S., Liu, Y., Thomas, C., Cao, M., Bai, H., Tuzel, O., Huang, P., Shan, J., Shi, J. “Synth4Seg—Learning Defect Data Synthesis for Defect Segmentation Using Bi-level Optimization.” IEEE Transactions on Automation Science and Engineering, 2025.

2024

  1. Mou, S., Maguluri, S. T. “Heavy Traffic Queue Length Behaviour in a Switch Under Markovian Arrivals.” Advances in Applied Probability, 2024.Applied Probability Collection
  2. Wang, Y., Mou, S., Shi, J., Zhang, C. “Physics-Informed Neural ODE with Heterogeneous Control Inputs (PINOHI) for Quality Prediction of Composite Adhesive Joints.” IISE Transactions, 2024.ASA SPES + Q&P Best Student Paper
  3. Zhang, Z., Mou, S., Paynabar, K., Shi, J. “Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data.” Technometrics, 2024.INFORMS QSR Best Student Paper
  4. Zhang, Z., Mou, S., Reisi Gahrooei, M., Pacella, M., Shi, J. “Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints.” Technometrics, 2024.
  5. Shi, J., Biehler, M., Mou, S. “Synergy of Engineering and Statistics: Multimodal Data Fusion for Quality Improvement.” Book chapter in Multimodal and Tensor Data Analytics for Industrial Systems Improvement (Springer), 2024.

2023

  1. Mou, S., Cao, M., Bai, H., Huang, P., Shi, J., Shan, J. “PAEDID: Patch Autoencoder Based Deep Image Decomposition.” IISE Transactions, 2023.
  2. Mou, S., Gu, X., Cao, M., Bai, H., Huang, P., Shan, J., Shi, J. “RGI: Robust GAN-Inversion for Mask-Free Image Inpainting and Unsupervised Pixel-Wise Anomaly Detection.” International Conference on Learning Representations (ICLR), 2023.IISE QCRE Best Track Paper
  3. Bai, H., Mou, S., Likhomanenko, T., Cinbis, R. G., Tuzel, O., Huang, P., Shan, J., Shi, J., Cao, M. “VISION Datasets: A Benchmark for Vision-Based Industrial Inspection.” arXiv preprint, 2023.

2022

  1. Mou, S., Biehler, M., Yue, X., Hunt, J. H., Shi, J. “Sparse Sensor Placement Based Adaptive Control for High Precision Fuselage Assembly.” IISE Transactions, 2022.IISE DAIS Best Student Paper Finalist
  2. Mou, S., Shi, J. “Compressed Smooth Sparse Decomposition.” INFORMS Journal on Data Science, 2022.IISE DAIS Best Track Paper Finalist
  3. Zhong, Z., Mou, S., Hunt, J. H., Shi, J. “Convex Relaxation for Optimal Fixture Layout Design.” IISE Transactions, 2022.
  4. Zhong, Z., Mou, S., Hunt, J. H., Shi, J. “Finite Element Analysis Model-Based Cautious Automatic Optimal Shape Control for Fuselage Assembly.” Journal of Manufacturing Science and Engineering, 2022.
  5. Chen, Z., Mou, S., Maguluri, S. T. “Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization.” Proceedings of the ACM on Measurement and Analysis of Computing Systems (ACM SIGMETRICS 2022), 2022.
  6. Mou, S., Cao, M., Hong, Z., Huang, P., Shan, J., Shi, J. “Synthetic Defect Generation for Display Front-of-Screen Quality Inspection: A Survey.” SID Symposium Digest of Technical Papers, 2022.Invited paper

2021

  1. Mou, S., Wang, A., Zhang, C., Shi, J. “Additive Tensor Decomposition Considering Structural Data Information.” IEEE Transactions on Automation Science and Engineering, 2021.IISE DAIS Best Paper Finalist

2020

  1. Mou, S., Chen, J., Zhang, C., Wang, B. “A Data Fusion Framework for Fracture Toughness Modeling Using Multiple Sources of Data.” International Symposium on Flexible Automation (ISFA), 2020.

2019

  1. Wang, Z., Mou, S., Wang, Z., Feng, Z. “Effect of Inlet Swirl Flow on the Migration of Hot Spots and End Wall Slot Leakage Flow.” Journal of Engineering Thermophysics (in Chinese), 2019.

2017

  1. Mou, S., Luan, Y., Ji, W., Zhang, J., Tao, W. “An Example for the Effect of Round-Off Errors on Numerical Heat Transfer.” Numerical Heat Transfer, Part B: Fundamentals, 2017.