Hu, Xia

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

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

Yang, J., Jin, H., Tang, R., Han, X., Feng, Q., Jiang, H., Yin, B., & Hu, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 644

Harnessing the power of llms in practice: a survey on chatGPT and beyond

Yang, J., Jin, H., Tang, R., Han, X., Feng, Q., Jiang, H., Zhong, S., Yin, B., & Hu, X. (2024) · ACM Transactions on Knowledge Discovery from Data

Topic ModelingNatural Language Processing Techniques

Cited by 644

Accelerated Attributed Network Embedding

Huang, X., Li, J., & Hu, X. (2017) · Proceedings of the 2017 SIAM International Conference on Data Mining

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 311

Online Social Spammer Detection

Hu, X., Tang, J., & Liu, H. (2014) · Proceedings of the AAAI Conference on Artificial Intelligence

Spam and Phishing DetectionHate Speech and Cyberbullying Detection

Cited by 133

The Science of Detecting LLM-Generated Text

Tang, R., Chuang, Y.-N., & Hu, X. (2024) · Communications of the ACM

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 125

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

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

Is distrust the negation of trust?: the value of distrust in social media

Tang, J., Hu, X., & Liu, H. (2014) · Proceedings of the 25th ACM conference on Hypertext and social media

Access Control and TrustMisinformation and Its Impacts

Cited by 91

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

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

SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization

Chuang, Y.-N., Tang, R., Jiang, X., & Hu, X. (2024) · Journal of Biomedical Informatics

Machine Learning in HealthcareTopic Modeling

Cited by 46

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

Geographic variation and racial disparities in adoption of newer glucose-lowering drugs with cardiovascular benefits among US Medicare beneficiaries with type 2 diabetes

Chen, W.-H., Li, Y., Yang, L., Allen, J. M., Shao, H., Donahoo, W. T., Billelo, L., Hu, X., Shenkman, E. A., Bian, J., et al. (2024) · PLOS ONE

Diabetes Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 17

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

Learning to Compress Prompt in Natural Language Formats

Chuang, Y.-N., Xing, T., Chang, C.-Y., Liu, Z., Chen, X., & Hu, X. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Learning to Route LLMs with Confidence Tokens

Chuang, Y.-N., Sarma, P. K., Gopalan, P., Boccio, J., Bolouki, S., Hu, X., & Zhou, H. (2024) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 0