Liu, Xiao

Pre-trained models: Past, present and future

Han, X., Zhang, Z., Ding, N., Gu, Y., Liu, X., Huo, Y., Qiu, J., Yao, Y., Zhang, A., Zhang, L., et al. (2021) · AI Open

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 994

P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks

Liu, X., Ji, K., Fu, Y., Tam, W., Du, Z., Yang, Z., & Tang, J. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 810

Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset

Shi, J., Zhou, S., Liu, X., Zhang, Q., Lu, M., & Wang, T. (2016) · Neurocomputing

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 166

Language Models are Open Knowledge Graphs

Wang, C., Liu, X., & Song, D. (2020) · arXiv

Topic ModelingAdvanced Graph Neural Networks

Cited by 79

Understanding and Optimizing Agentic Workflows via Shapley value

Yang, Y., Huang, B., Qi, S., Feng, C., Hu, H., Zhu, Y., Hu, J., Zhao, H., He, Z., Liu, X., et al. (2025) · arXiv

AI-based Problem Solving and PlanningGame Theory and Voting Systems

Cited by 2