Mingxuan Sun

Associate Professor

Contact

msun11@lsu.edu
Office 3272A
Patrick F. Taylor Hall

Educational Background

Ph.D. in Computer Science, Georgia Institute of Technology, Atlanta, Georgia, 2012

M.S. in Computer Science, University of Kentucky, Lexington, Kentucky, 2006

BS.c. in Computer Science, Zhejiang University, Hangzhou, China, 2004

Mingxuan Sun

Visit Website

CSC 3730: Machine Learning and Data Analytics
CSC 4402: Introduction to Database Management Systems

Machine Learning
Information Retrieval
Data Mining

Li, Z., & Sun, M. (2023, September). Sparse Transformer Hawkes process for long event sequences. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 172-188). Cham: Springer Nature Switzerland.
Mihunov, V. V., Wang, K., Wang, Z., Lam, N. S., & Sun, M. (2023). Social media and volunteer rescue requests prediction with random forest and algorithm bias detection: a case of Hurricane Harvey. Environmental Research Communications, 5(6), 065013.
Li, Z., Zhou, Z., Sun, M., & Xu, H. (2023). Debiased Imitation Learning for Modulated Temporal Point Processes. In Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) (pp. 460-468). Society for Industrial and Applied Mathematics.
Song, L., Li, J., Liu, J., Yang, Y., Shang, X., & Sun, M. (2023). Answering knowledge-based visual questions via the exploration of question purpose. Pattern Recognition, 133, 109015.
Mihunov, V., Wang, K., Wang, Z., Lam, N., & Sun, M. (2022, December). Fairness and Explainability of Random Forest Regression in Predicting Social Media Rescue Requests with Socio-Environmental Features: Case of Hurricane Harvey. In AGU Fall Meeting Abstracts (Vol. 2022, pp. NH12A-06).
Wang, Z., Lam, N. S., Sun, M., Huang, X., Shang, J., Zou, L., ... & Mihunov, V. V. (2022). A machine learning approach for detecting rescue requests from social media. ISPRS International Journal of Geo-Information, 11(11), 570.
Song, L., Shang, X., Yang, C., & Sun, M. (2022). Attribute-guided multiple instance hashing network for cross-modal zero-shot hashing. IEEE Transactions on Multimedia, 25, 5305-5318.
Zhou, Z., & Sun, M. (2021, December). Multivariate Hawkes processes for incomplete biased data. In 2021 IEEE International Conference on Big Data (Big Data) (pp. 968-977). IEEE.
Liu, M., Zhou, X., & Sun, M. (2021). Bilateral privacy-utility tradeoff in spectrum sharing systems: A game-theoretic approach. IEEE Transactions on Wireless Communications, 20(8), 5144-5158.
Song, L., Liu, J., Sun, M., & Shang, X. (2021). Weakly supervised group mask network for object detection. International Journal of Computer Vision, 129(3), 681-702.

2021: LSU Alumni Association Rising Faculty Research Award
2020: National Science Foundation (NSF) CAREER Award

2023-2025: Source: NSF Directorate for Computer & Information Science & Engineering, Title: Collaborative Research: SaTC: CORE: Small: Critical Learning Periods Augmented Robust Federated Learning, $200,000.
2022-2025: Source: National Science Foundation (NSF), Title: FAI: Advancing Optimization for Threshold-Agnostic Fair AI Systems, Co-PI: Mingxuan Sun, $500,000.
2020-2025: Source: National Science Foundation (NSF), Title: CAREER: Privacy-aware Predictive Modeling of Dynamic Human Events, $422,815.