Du, Mengnan

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

Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder

Du, M., Pentyala, S., Li, Y., & Hu, X. (2020) · Proceedings of the 29th ACM International Conference on Information & Knowledge Management

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 114

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks

Li, Y., Huang, X., Li, J., Du, M., & Zou, N. (2019) · Proceedings of the 28th ACM International Conference on Information and Knowledge Management

Anomaly Detection Techniques and ApplicationsAdvanced Graph Neural Networks

Cited by 111

Shortcut Learning of Large Language Models in Natural Language Understanding

Du, M., He, F., Zou, N., Tao, D., & Hu, X. (2024) · Communications of the ACM

Topic ModelingNatural Language Processing Techniques

Cited by 94

Mitigating Gender Bias in Captioning Systems

Tang, R., Du, M., Li, Y., Liu, Z., Zou, N., & Hu, X. (2021) · Proceedings of the Web Conference 2021

Multimodal Machine Learning ApplicationsEthics and Social Impacts of AI

Cited by 50

Machine Learning Explanations to Prevent Overtrust in Fake News Detection

Mohseni, S., Yang, F., Pentyala, S., Du, M., Liu, Y., Lupfer, N., Hu, X., Ji, S., & Ragan, E. (2021) · Proceedings of the International AAAI Conference on Web and Social Media

Misinformation and Its ImpactsExplainable Artificial Intelligence (XAI)

Cited by 44

The Impact of Reasoning Step Length on Large Language Models

Jin, M., Yu, Q., Shu, D., Zhao, H., Hua, W., Meng, Y., Zhang, Y., & Du, M. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 39

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

Fair Machine Learning in Healthcare: A Review

Feng, Q., Du, M., Zou, N., & Hu, X. (2022) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 12

Fair Machine Learning in Healthcare: A Survey

Feng, Q., Du, M., Zou, N., & Hu, X. (2025) · IEEE Transactions on Artificial Intelligence

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 12