Publications

You can also find my articles on my Google Scholar profile.

2025

Fang, L., Latif, E., Lu, H., Zhou, Y., Ma, P., Zhai, X. (2025) Efficient Multi-Task Inferencing: Model Merging with Gromov–Wasserstein Feature Alignment, International Conference on Artificial Intelligence in Education.
Lu, H., Fang, L., Zhang, R., Li, X., Cai, J., Cheng, H., Tang, L., Liu, Z., Sun, Z., Wang, T., Zhang, Y., Zidan, A. H., Xu, J., Yu, J., Yu, M., Jiang, H., Gong, X., Luo, W., Sun, B., Chen, Y., Ma, T., Wu, S., Zhou, Y., Chen, J., Xiang, H., Zhang, J., Jahin, A., Ruan, W., Deng, K., Pan, Y., Wang, P., Li, J., Liu, Z., Zhang, L., Li, X., Zhao, L., Liu, W., Zhu, D., Xing, X., Dou, F., Zhang, W., Huang, C., Liu, R., Zhang, M., Liu, Y., Sun, X., Lu, Q., Xiang, Z., Zhong, W., Liu, T., Ma, P. (2025) Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges, arXiv:2507.19672.
Fang, L., Meng, C., Zhao, L., Wang, T., Liu, T., Zhong, W., Ma, P. (2025) Spot: An Active Learning Algorithm for Efficient Deep Neural Network Training, Big Data Mining and Analytics.

Fang, L., Chen, Y., Zhong, W., Ma, P. (2024) Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification, International Conference on Machine Learning (ICML).
Wang, Z., Fang, L.*, Cai, J., Ma, P., Zhong, W. (2024) MultiCOP: An Association Analysis of Microbiome-Metabolome Relationships, Statistics in Biosciences. (* Joint-First author)
Latif, E., Fang, L., Ma, P., and Zhai, X. (2024) Knowledge Distillation of LLMs for Automatic Scoring of Science Assessments, International Conference on Artificial Intelligence in Education.
Wang, S., Wu, S., Chen, Y., Fang, L., Xiao, L., Li, F. (2024) Exploring Latent Constructs through Multimodal Data Analysis, Journal of Educational Measurement.
Latif, E., Zhou, Y., Guo, S., Gao, Y., Shi, L., Nayaaba, M., Lee, G., Zhang, L., Bewersdorff, A., Fang, L., Yang, X., Zhao, H., Jiang, H., Lu, H., Li, J., Yu, J., You, W., Liu, Z., Liu, V. S., Wang, H., Wu, Z., Lu, J., Dou, F., Ma, P., Liu, N., Liu, T., Zhai, X. (2024) A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education, arXiv:2410.21287.

Fang, L., Lee, GG., Zhai, X. (2023) Using gpt-4 to augment unbalanced data for automatic scoring, ArXiv.
Wu, S., Fang L., Zhang, J., Sriram, T. N., Coshatt, S. J., Zahiri, F., Mantooth, A., Ye, J., Zhong, W., Ma, P., Song, W. (2023) Unsupervised Anomaly Detection and Diagnosis in Power Electronic Networks: Informative Leverage and Multivariate Functional Clustering Approaches, IEEE Transactions on Smart Grid.