Selected Publications

Selected Journal Publications:

Out-of-distribution learning:

1. Song, X., Sun, W., Al Kontar, R., Nouiehed, M., & Jin, J. SEE-OoD: Supervised Exploration for Enhanced Out-of-Distribution Detection. Under review at ICLR 2024 Conference. [arXiv][code]

2. Sun, W., Kontar, R. & Jin, J. (2023+). A continual learning framework for adaptive defect classification and inspection. Journal of Quality Technology, in press. [arXiv]

3. Wang, Y., Sun, W., Jin, J., Kong, Z., & Yue, X. (2021). WOOD: Wasserstein-based Out-of-Distribution Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, Accepted. (This paper received the 2022 IISE Annual Conference DAIS Best Track Paper, 2022 JSM at the joint SPES + Q&P session Best Student Paper, and 2021 INFORMS Workshop on Data Mining and Decision Analysis Best Theoretical Paper). [arXiv][code]

Gaussian process regression:

1. Sun, W., Liu, J., Hu, J. & Jin, J. (2023+). Adaptive restraint designs for a diverse population through machine-learning. Frontier in Public Health, in press. [paper]

2. Sun, W., Niraula, D., El Naqa, I., Ten Haken, R.K., Dinov, I.D., Cuneo, K. & Jin, J. (2022). Precision radiotherapy via information integration of expert human knowledge and AI recommendation to optimize clinical decision making. Computer Methods and Programs in Biomedicine, 221, 106927. [arXiv]

3. Sun, W., Plumlee, M., Hu, J. & Jin, J. (2021). Robust system design with limited experimental data and an inexact simulation model. SIAM Journal on Uncertainty Quantification, 9(2), 483-506. (The paper received the QCRE Best Student Paper Award in IISE Annual Meeting 2018).

Deep neural networks in additive manufacturing:

1. Wang, Y., Sun, W., Jin, J. & Yue, X. (2023). MVGCN: Multi-view graph convolutional neural network with applications to fuselage surface defect diagnosis using 3D point cloud. Journal of Manufacturing Sciences and Engineering, 145 (3), 031004.

2. Sun, W., Zhang, Z., Ren, W., Mazumder, J., & Jin, J. (2021). In-situ monitoring of optical spectrum signals for microscopic pores in metal additive manufacturing. (2021). Journal of Manufacturing Science and Engineering, 144(1), 1-21.

Transportation applications:

1. Sun, W., Aguirre, M., Jin, J., Feng, F., Rajab, S., Saigusa, S., Dsa, J., & Bao, S. (2021).  Online distraction detection for naturalistic driving dataset using kinematic motion models and a multiple model algorithm. (2021). Transportation Research Part. C, 130, 103317.

2. Sun, W., Jin, J., Reed, M.P., Gayzik, F.S., Danelson, K.A., Bass, C.R., Zhang, J.Y. & Rupp, J.D. (2016). A method for developing biomechanical response corridors based on principal component analysis. Journal of Biomechanics, 49(14), 3208-3215.

Selected Conference Publications:

1. Sun, W., Hu, J., Flannagan, C., Bowman, P., Farooq, I. & Kalra, A. (2023+) Calibration of Pedestrian Crash Simulations Using Field Data. 2023 STAPP Car Crash Conference, accepted.

2. Kusari, A. & Sun, W. (2022). Graph-theoretical approach to robust 3D normal extraction of LiDAR data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2, 127-134. [arXiv][code]

3. Zerehsaz, Y., Sun, W. & Jin, J. (2022). Robust generalized high-order SVD for images with outliers and correlated noises. The 18th International Conference on Data Science, accepted.

Doctoral Dissertation:

1. Sun, W. (2018). Uncertainty quantification methodologies for functional data in biomechanical applications.