Publications

Research output

Work across trustworthy AI, privacy-preserving language models, neural speech decoding, and high-performance scientific computing.

  1. 2026

    Conflicts Make Large Reasoning Models Vulnerable to Attacks. H. Liu, C. Xu, X. Jiang, C. Yang, S. Yin, Z. Ma, L. Ni, and J. Guo. ACL Findings, pages 9509-9531.

  2. 2026

    Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs. H. Liu, X. Jiang, C. Xu, C. Yang, Y. Cheng, L. Ni, and J. Guo. EACL Findings, pages 408-425.

  3. 2026

    A Survey on LLM-as-a-Judge. J. Gu, X. Jiang, Z. Shi, H. Tan, X. Zhai, C. Xu, W. Li, Y. Shen, S. Ma, H. Liu, S. Wang, K. Zhang, Y. Wang, W. Gao, L. Ni, and J. Guo. The Innovation. doi: 10.1016/j.xinn.2025.101253.

  4. 2024

    Decoding multi-talker speech from EEG signals. H. Liu, K. Li, Q. Zhou, Q. Wang, J. Sun, Z. Huang, and J. Li. IJCAI Workshop on Human Brain and Artificial Intelligence.

  5. 2022

    Efficient Radio Interferometric Imaging on the GPU. H. Liu, Q. Luo, and F. Wang. IEEE 18th International Conference on e-Science. doi: 10.1109/eScience55777.2022.00024.