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