Liu, Ninghao

Techniques for interpretable machine learning

Du, M., Liu, N., & Hu, X. (2019) · Communications of the ACM

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 1,268

Techniques for Interpretable Machine Learning

Du, M., Liu, N., & Hu, X. (2018) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 1,261

Explainability for Large Language Models: A Survey

Zhao, H., Chen, H., Yang, F., Liu, N., Deng, H., Cai, H., Wang, S., Yin, D., & Du, M. (2024) · ACM Transactions on Intelligent Systems and Technology

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 681

Applying large language models and chain-of-thought for automatic scoring

Lee, G.-G., Latif, E., Wu, X., Liu, N., & Zhai, X. (2024) · Computers and Education: Artificial Intelligence

Artificial Intelligence in EducationEducational Technology and Assessment

Cited by 186

In-Processing Modeling Techniques for Machine Learning Fairness: A Survey

Wan, M., Zha, D., Liu, N., & Zou, N. (2023) · ACM Transactions on Knowledge Discovery from Data

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 99

Contextual Outlier Interpretation

Liu, N., Shin, D., & Hu, X. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Anomaly Detection Techniques and ApplicationsExplainable Artificial Intelligence (XAI)

Cited by 74

Automating expert-level medical reasoning evaluation of large language models

Zhou, S., Xie, W., Li, J., Zhan, Z., Song, M., Yang, H., Espinoza, C., Welton, L., Mai, X., Jin, Y., et al. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 30

Artificial Intelligence Bias on English Language Learners in Automatic Scoring

Guo, S., Wang, Y., Yu, J., Wu, X., Ayik, B., Watts, F. M., Latif, E., Liu, N., Liu, L., & Zhai, X. (2025) · Lecture Notes in Computer Science

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 14

A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models

Shu, D., Wu, X., Zhao, H., Rai, D., Yao, Z., Liu, N., & Du, M. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 13