Publications
You can also find my articles on my Google Scholar profile.
2026
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. (2026). Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions. Artificial Intelligence Review.
Fang, L., Wang, T., Ma, P., Zhai, X. (2026). Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts. EAAI 2026: Educational Advances in Artificial Intelligence, co-located with AAAI 2026. (accepted).
Cheng, H., Yu, X., Wu, S., Fang, L., Cao, C., Zhang, J., Liu, T., Zhu, D., Zhong, W., Ma, P. (2026). DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging. Association for the Advancement of Artificial Intelligence (AAAI). (accepted).
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. (2026). Large language models for bioinformatics. Quantitative Biology.
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).
Fang, L., Lee, G., Zhai, X. (2025) Using gpt-4 to augment unbalanced data for automatic scoring. Journal of Educational Measurement.
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.
Lu, H., Fang, L., Zeng, O., Ma, P., Zhong, W., Yuan, G.(2025). Optimal Gene Panel Selection for Targeted Spatial Transcriptomics Experiments, bioRxiv.
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
- 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.