Publications
You can also find my articles on my Google Scholar profile.
2025
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., 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 (AIED 2025). (Selected as Nominee for the Best Poster Award).
Wang, B., Cai, J., Fang, L., Ma, P., Leung, Y.F. (2025). Tensor analysis of animal behavior by matricization and feature selection. Computers in Biology and Medicine.
Fang, L., Yu, X., Cai, J., Chen, Y., Wu, S., Liu, Z., Yang, Z., Lu, H., Gong, X., Liu, Y., Ma, T., Ruan, W., Abbasi, A., Zhang, J., Wang, T., Latif, E., Liu, W., Zhang, W., Kolouri, S., Zhai, X., Zhu, D., Zhong, W., Liu, T., Ma, P. (2025). Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions. Artificial Intelligence Review. (accepted)
Lu, H., Fang, L., Zeng, O., Ma, P., Zhong, W., Yuan, G.(2025). Optimal Gene Panel Selection for Targeted Spatial Transcriptomics Experiments, bioRxiv.
Ruan, W., Lyu, Y., Zhang, J., Cai, J., Shu, P., Ge, Y., Lu, Y., Gao, S., Wang, Y., Wang, P., Zhao, L., Wang, T., Liu, Y., Fang, L., Liu, Z., Liu, Z., Li, Y., Wu, Z., Chen, J., Jiang, H., Pan, Y., Yang, Z., Chen, J., Liang, S., Zhang, W., Ma, T., Dou, Y., Zhang, J., Gong, X., Gan, Q., Zou, Y., Chen, Z., Qian, Y., Yu, S., Lu, J., Song, K., Wang, X., Sikora, A., Li, G., Li, X., Li, Q., Wang, Y., Zhang, L., Abate, Y., He, L., Zhong, W., Liu, R., Huang, C., Liu, W., Shen, Y., Ma, P., Zhu, H., Yan, Y., Zhu, D., Liu, T. (2025). Large language models for bioinformatics. Quantitative Biology.
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.
2024
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.
2023
Fang, L., Lee, G., Zhai, X. (2023) Using gpt-4 to augment unbalanced data for automatic scoring. arXiv:2310.18365.
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.