Xie, Pengtao

A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT

Zhou, C., Li, Q., Li, C., Yu, J., Liu, Y., Wang, G., Zhang, K., Ji, C., Yan, Q., He, L., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 574

Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

Liang, Y., Ge, C., Tong, Z., Song, Y., Wang, J., & Xie, P. (2022) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 131

PathVQA: 30000+ Questions for Medical Visual Question Answering

He, X., Zhang, Y., Mou, L., Xing, E., & Xie, P. (2020) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 79

Self-supervised Regularization for Text Classification

Zhou, M., Li, Z., & Xie, P. (2021) · Transactions of the Association for Computational Linguistics

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 14

MedDialog: Two Large-scale Medical Dialogue Datasets

He, X., Chen, S., Ju, Z., Dong, X., Fang, H., Wang, S., Yang, Y., Zeng, J., Zhang, R., Zhang, R., et al. (2020) · arXiv

Speech and dialogue systemsArtificial Intelligence in Healthcare and Education

Cited by 12

Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models

Huo, M., Somayajula, S. A., Liang, Y., Zhang, R., Koushanfar, F., & Xie, P. (2024) · arXiv

Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning

Cited by 5

Defense against prompt injection attacks via mixture of encodings

Zhang, R., Sullivan, D., Jackson, K., Xie, P., & Chen, M. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 5