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, ¾Å¾Å¸£ÀûÍø of Kentucky, Lexington, Kentucky, 2006

BS.c. in Computer Science, Zhejiang ¾Å¾Å¸£ÀûÍø, Hangzhou, China, 2004

Mingxuan Sun

  • 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.