📝 Publications [Google Scholar]

Journals

• Medical physics L.Zhang, JM.Holmes, X.Zhang, Z.Liu, H.Feng, M.Li, TT.Sio, CE.Vargas, SR.Keole, K.Stützer, S.Li, T.Liu, J.Shen, WW.Wong, SA.Vora, W.Liu. Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: Physics enhances generalizability. Medical physics, 2026.

• Meta-Radiology Q.Zhang, Y.Ren, S.Qin, X.Zhang, L.Zhang, J.Huang, Z Liu, C Liu, H Feng, J.Chen, Y.Ding, W.You, H.Jiang, Y.Pan, Y.Zhou, J.Chen, L.Chen, W.Liu, T.Liu, Z.Zhao, L.Zhang. Toward Vibe Medicine: A Self-Evolving Multi-Agent Framework for Clinical Decision Support. Meta-Radiology, 2026.

• BioMed Central Z.Liu, L.Tang, Z.Sun, Z.Liu, Y.Lyu, W.Ruan, Y.Xu, L.Shan, J.Shin, X.Chen, D.Zhu, T.Liu, R.Liu, and C.Huang. AD-GPT: Large language models in Alzheimer’s disease. BioMed Central, 2026.

• Journal of Manufacturing Systems 86 Y. Li, H. Zhao, H. Jiang, Y. Pan, Z. Liu, Z. Wu, P. Shu, J. Tian, T. Yang, S. Xu, Y. Lyu, P. Blenk, J. Pence, J. Rupram, E. Banu, N. Liu, L. Wang, W. Song, X. Zhai, K. Song, D. Zhu, B. Li, X. Wang, and T. Liu. Large language models for manufacturing. Journal of Manufacturing Systems 86, 2026.

• Medical Image Analysis Z. Xing, Z. Liu, D.-F. Zhang, K. Xie, J. Fang, X.-A. Bi, and T. Liu. Alzheimer’s Disease Risk Prediction via Perceptual Deformable Attention Generative Adversarial Network with Large Foundation Models. Medical Image Analysis, 2026.

• npj Digital Medicine J. Chen, Y. Yang, O. M. Muller, L. Zeng, Z. Liu, T. Liu, R. L. Foote, D. J. Ma, S. H. Patel, Z. Liu, and W. Liu. Causal machine learning for exploring radiation dose effects on mandibular osteoradionecrosis. npj Digital Medicine, 2026.

• Journal of Central South University. Medical Sciences Z. Liu, M. He, Z. Jiang, Z. Wu, H. Dai, L. Zhang, S. Luo, T. Han, X. Li, X. Jiang, D. Zhu, X. Cai, B. Ge, W. Liu, J. Liu, D. Shen, and T. Liu. Survey on natural language processing in medical image analysis. Journal of Central South University. Medical Sciences, 2022.

• Computer Graphics Forum Z. Liu, R. J. Crouser, and A. Ottley. Survey on Individual Differences in Visualization. Computer Graphics Forum, 2020.

• Meta-Radiology Z. Liu, Y. Li, P. Shu, A. Zhong, H. Jiang, Y. Pan, L. Yang, C. Ju, Z. Wu, C. Ma, C. Chen, S. Kim, H. Dai, L. Zhao, L. Sun, D. Zhu, J. Liu, W. Liu, D. Shen, Q. Li, T. Liu, and X. Li. Radiology-GPT: a large language model for radiology. Meta-Radiology, 2025.

• Frontiers in Radiology Z. Liu, L. Zhang, Z. Wu, X. Yu, C. Cao, H. Dai, N. Liu, J. Liu, W. Liu, Q. Li, D. Shen, X. Li, D. Zhu, and T. Liu. Surviving ChatGPT in healthcare. Frontiers in Radiology, 2024.

• International Journal of Particle Therapy P. Wang* , Z. Liu* , Y. Li, J. M. Holmes, P. Shu, L. Zhang, X. Li, Q. Li, S. A. Vora, S. H. Patel, T. T. Sio, T. Liu, and W. Liu. Fine-tuning large language models for radiation oncology, a highly specialized healthcare domain. International Journal of Particle Therapy, 2024.

• IEEE Transactions on Big Data H. Dai* , Z. Liu* , W. Liao, X. Huang, Y. Cao, Z. Wu, L. Zhao, S. Xu, W. Liu, N. Liu, and T. Liu. AugGPT: Leveraging ChatGPT for text data augmentation. IEEE Transactions on Big Data, 2024.

• Meta-Radiology J. Wang* , Z. Liu* , L. Zhao, Z. Wu, C. Ma, S. Yu, H. Dai, Q. Yang, Y. Liu, S. Zhang, E. Shi, Y. Pan, T. Zhang, D. Zhu, X. Li, X. Jiang, B. Ge, Y. Yuan, D. Shen, T. Liu, and S. Zhang. Review of large vision models and visual prompt engineering. Meta-Radiology, 2023.

• Knowledge-Based Systems W. Liao* , Z. Liu* , Y. Zhang, X. Huang, N. Liu, T. Liu, Q. Li, X. Li, and H. Cai. Zero-shot relation triplet extraction as Next-Sentence Prediction. Knowledge-Based Systems, 2024.

• IEEE Transactions on Big Data S. Rezayi* , Z. Liu* , Z. Wu, C. Dhakal, B. Ge, H. Dai, G. Mai, N. Liu, C. Zhen, T. Liu, and S. Li. Exploring new frontiers in agricultural nlp: Investigating the potential of large language models for food applications. IEEE Transactions on Big Data, 2024.

• Meta-Radiology C. Liu* , Z. Liu* , J. Holmes, L. Zhang, L. Zhang, Y. Ding, P. Shu, Z. Wu, H. Dai, Y. Li, D. Shen, N. Liu, Q. Li, X. Li, D. Zhu, T. Liu, and W. Liuu. Artificial general intelligence for radiation oncology. Meta-Radiology, 2023.

• Medical Physics Y. Ding, Z. Liu , H. Feng, J. Holmes, Y. Yang, N. Yu, T. Sio, S. Schild, B. Li, and W. Liu. Accurate and efficient deep neural network based deformable image registration method in lung cancer. Medical Physics, 2022.

• Medical Physics L. Zhang, Z. Liu , L. Zhang, Z. Wu, X. Yu, J. Holmes, H. Feng, H. Dai, X. Li, Q. Li, W. W. Wong, S. A. Vora, D. Zhu, T. Liu, and W. Liu. Generalizable and promptable artificial intelligence model to augment clinical delineation in radiation oncology. Medical Physics, 2024.

• Neurocomputing W. Liao, Z. Liu , H. Dai, Z. Wu, Y. Zhang, X. Huang, Y. Chen, X. Jiang, D. Liu, D. Zhu, S. Li, W. Liu, T. Liu, Q. Li, H. Cai, and X. Li. Mask-guided BERT for few-shot text classification. Neurocomputing, 2024.

• Frontiers in Oncology J. Holmes, Z. Liu , L. Zhang, Y. Ding, T. T. Sio, L. A. McGee, J. B. Ashman, X. Li, T. Liu, J. Shen, and W. Liu. Evaluating large language models on a highly-specialized topic, radiation oncology physics. Frontiers in Oncology, 2023.

• JMIR Medical Education W. Liao, Z. Liu , H. Dai, S. Xu, Z. Wu, Y. Zhang, X. Huang, D. Zhu, H. Cai, Q. Li, T. Liu, and X. Li. Differentiating ChatGPT-generated and human-written medical texts: quantitative study. JMIR Medical Education, 2023.

• Medical Physics P. Wang, Z. Liu , Y. Li, J. Holmes, P. Shu, L. Zhang, X. Li, Q. Li, B. S. Laughlin, D. S. Toesca, C. E. Vargas, S. A. Vora, S. H. Patel, T. T. Sio, T. Liu, W. Liu. Fine‐tuning open‐source large language models to improve their performance on radiation oncology tasks: A feasibility study to investigate their potential clinical applications. Medical Physics, 2025.

• Medical Image Analysis Z. Xing, Z. Liu , D.-F. Zhang, K. Xie, J. Fang, X.-A. Bi, and T. Liu. Alzheimer’s Disease Risk Prediction via Perceptual Deformable Attention Generative Adversarial Network with Large Foundation Models. Medical Image Analysis, 2025.

• Nature Medicine C. Yan, J. Bi, Y. Luo, Y. Ma, Z. Liu, Z. Wu, L. Zhao, S. Xu, L. Wei, S. Huang, H. Wang, Y. Pan, B. Liao, Y. Huang, J. Xia, M. He, Z. Wang, Z. Lin, C. Slaughter, H. Zhu, Y. Zhang, Q. Qu, X. Zhang, G. Li, S. Ju, J. Huang, S. S. Zhang, D. Zhou, R. J. Fu, L. Sun, P. S. Yu, W. Liu, J. Gao, X. Li, D. Zhu, T. Liu, and D. Shen. A generalist vision–language foundation model for diverse biomedical tasks. Nature Medicine, 2024.

• Meta-radiology Y. Liu, T. Han, S. Ma, J. Zhang, Y. Yang, J. Tian, H. He, A. Li, M. He, Z. Liu, Z. Wu, L. Zhao, D. Zhu, X. Li, N. Qiang, D. Shen, T. Liu, and B. Ge. Summary of ChatGPT-related research and perspective towards the future of large language models. Meta-radiology, 2023.

• Journal of Automation and Intelligence Z. Wu, L. Zhao, L. Wei, J. Lin, Z. Liu, L. Guo, L. Dai, D. Wu, F. Zhu, S. Zhang, D. Zhu, X. Li, and T. Liu. Large language models for robotics: Opportunities, challenges, and perspectives. Journal of Automation and Intelligence, 2025.

• Meta-Radiology J. Wang, E. Shi, S. Yu, Z. Wu, H. Hu, C. Ma, H. Dai, Q. Yang, Y. Kang, J. Wu, C. Yue, H. Zhang, Y. Liu, Y. Pan, Z. Liu, L. Sun, X. Li, B. Ge, X. Jiang, Y. Yuan, D. Shen, T. Liu, and S. Zhang. Prompt engineering for healthcare: Methodologies and applications. Meta-Radiology, 2025.

• Neurocomputing Y. Liu, H. He, T. Han, X. Zhang, M. Liu, J. Tian, Y. Zhang, J. Wang, X. Gao, T. Zhong, Y. Pan, S. Xu, Z. Wu, Z. Liu, X. Zhang, S. Zhang, X. Hu, T. Zhang, N. Qiang, T. Liu, and B. Ge. Understanding llms: A comprehensive overview from training to inference. Neurocomputing, 2025.

• Medical Image Analysis C. Chen, J. Miao, D. Wu, A. Zhong, Z. Yan, S. Kim, J. Hu, Z. Liu, L. Sun, X. Li, T. Liu, P. A. Heng, and Q. Li. Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation. Medical Image Analysis, 2024.

• IEEE Transactions on Artificial Intelligence C. Ma, Z. Wu, J. Wang, S. Xu, Y. Wei, Z. Liu, F. Zeng, X. Jiang, L. Guo, X. Cai, S. Zhang, T. Zhang, D. Zhu, D. Shen, T. Liu, and X. Li. An iterative optimizing framework for radiology report summarization with ChatGPT. IEEE Transactions on Artificial Intelligence, 2024.

• IEEE Transactions on Learning Technologies G. Lee, L. Shi, E. Latif, Y. Gao, A. Bewersdorff, M. Nyaaba, S. Guo, Z. Liu, G. Mai, T. Liu, and X. Zhai. Multimodality of ai for education: Towards artificial general intelligence. IEEE Transactions on Learning Technologies, 2025.

• IEEE Transactions on Big Data Z. Wu, L. Zhang, C. Cao, X. Yu, Z. Liu, L. Zhao, Y. Li, H. Dai, C. Ma, G. Li, W. Liu, Q. Li, D. Shen, X. Li, D. Zhu, and T. Liu. Exploring the trade-offs: Unified large language models vs local fine-tuned models for highly-specific radiology nli task. IEEE Transactions on Big Data, 2025.

• PLOS Global Public Health H. Dai, Y. Li, Z. Liu, L. Zhao, Z. Wu, S. Song, S. Ye, D. Zhu, X. Li, S. Li, X. Yao, L. Shi, T. Q. Peng, Q. Li, Z. Chen, D. Zhang, T. Liu, and G. Mai. Ad-autogpt: An autonomous gpt for alzheimer’s disease infodemiology. PLOS Global Public Health, 2025.

• IEEE Transactions on Neural Networks and Learning Systems X. A. Bi, K. Chen, S. Jiang, S. Luo, W. Zhou, Z. Xing, L. Xu, Z. Liu, and T. Liu. Community graph convolution neural network for alzheimer’s disease classification and pathogenetic factors identification. IEEE Transactions on Neural Networks and Learning Systems, 2023.

• IEEE Transactions on Neural Networks and Learning Systems T. Zhong, Y. Pan, Y. Zhang, Y. Wei, L. Yang, Z. Liu, X. Wei, W. Li, J. Yao, C. Ma, X. Jiang, D. Shen, J. Han, and T. Zhang. Chatabl: Abductive learning via natural language interaction with chatgpt. IEEE Transactions on Neural Networks and Learning Systems, 2025.

• Meta-Radiology Y. Zhang, Y. Pan, T. Zhong, P. Dong, K. Xie, Y. Liu, H. Jiang, Z. Wu, Z. Liu, W. Zhao, W. Zhang, S. Zhao, T. Zhang, X. Jiang, D. Shen, T. Liu, and X. Zhang. Potential of multimodal large language models for data mining of medical images and free-text reports. Meta-Radiology, 2024.

• Medical Physics Y. Ding, H. Feng, Y. Yang, J. Holmes, Z. Liu, D. Liu, W. W. Wong, N. Y. Yu, T. T. Sio, S. E. Schild, B. Li, and W. Liu. Deep‐learning based fast and accurate 3D CT deformable image registration in lung cancer. Medical Physics, 2023.

• Computers in Biology and Medicine N. Qiang, J. Gao, Q. Dong, H. Yue, H. Liang, L. Liu, J. Yu, J. Hu, S. Zhang, B. Ge, Y. Sun, Z. Liu, T. Liu, J. Li, H. Song, S. Zhao. Functional brain network identification and fMRI augmentation using a VAE-GAN framework. Computers in Biology and Medicine, 2023.

• Behavioural Brain Research N. Qiang, J. Gao, Q. Dong, J. Li, S. Zhang, H. Liang, Y. Sun, B. Ge, Z. Liu, Z. Wu, T. Liu, H. Yue, S. Zhao. A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networks. Behavioural Brain Research, 2023.

• Neural Networks S. Zhang, E. Shi, L. Wu, R. Wang, S. Yu, Z. Liu, S. Xu, T. Liu, S. Zhao. Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network. Neural Networks, 2023.

• Information Fusion Z. Xiao, Y. Chen, J. Yao, L. Zhang, Z. Liu, Z. Wu, X. Yu, Y. Pan, L. Zhao, C. Ma, X. Liu, W. Liu, X. Li, Y. Yuan, D. Shen, D. Zhu, D. Yao, T. Liu, X. Jiang. Instruction-vit: Multi-modal prompts for instruction learning in vision transformer. Information Fusion, 2024.

• Practical Radiation Oncology J. Holmes, L. Zhang, Y. Ding, H. Feng, Z. Liu, T. Liu, W. W. Wong, S. A. Vora, J. B. Ashman, and W. Liu. Benchmarking a foundation large language model on its ability to relabel structure names in accordance with the american association of physicists in medicine task group-263 report. Practical Radiation Oncology, 2024.

• Medical Image Analysis L. Zhao, Z. Wu, H. Dai, Z. Liu, X. Hu, T. Zhang, D. Zhu, and T. Liu. A generic framework for embedding human brain function with temporally correlated autoencoder. Medical Image Analysis, 2023.

• IEEE Transactions on Medical Imaging X. A. Bi, Z. Yang, Y. Huang, Z. Xing, L. Xu, Z. Wu, Z. Liu, X. Li, and T. Liu. CE-GAN: Community evolutionary generative adversarial network for Alzheimer’s disease risk prediction. IEEE Transactions on Medical Imaging, 2024.

• IEEE Transactions on Pattern Analysis and Machine Intelligence X. A. Bi, Y. Huang, Z. Yang, K. Chen, Z. Xing, L. Xu, X. Li, Z. Liu, and T. Liu. Structure mapping generative adversarial network for multi-view information mapping pattern mining. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.

• IEEE Journal of Biomedical and Health Informatics S. Kim, P. Jin, C. Chen, K. Kim, Z. Lyu, H. Ren, S. Kim, Z. Liu, A. Zhong, T. Liu, X. Li, and Q. Li. MediViSTA: Medical Video Segmentation via Temporal Fusion SAM Adaptation for Echocardiography. IEEE Journal of Biomedical and Health Informatics, 2025.

• Computers, Environment and Urban Systems X. Zhao, H. Huang, T. Yang, Y. Lu, L. Zhang, R. Wang, Z. Liu, T. Zhong, and T. Liu. Urban planning in the age of large language models: Assessing OpenAI o1’s performance and capabilities across 556 tasks. Computers, Environment and Urban Systems, 2025.

• International Journal of Radiation Oncology, Biology, Physics J. Chen, Y. Yang, H. Feng, L. Zhang, Z. Liu, T. Liu, C. E. Vargas, N. Y. Yu, J. M. Rwigema, S. R. Keole, S. H. Patel, S. A. Vora, J. Shen, and W. Liu. Robust optimization for spot-scanning proton therapy based on dose-linear-energy-transfer volume constraints. International Journal of Radiation Oncology, Biology, Physics, 2025.

• Journal of Neural Engineering Y. Liu, E. Ge, M. He, Z. Liu, S. Zhao, X. Hu, N. Qiang, D. Zhu, T. Liu, and B. Ge. Mapping dynamic spatial patterns of brain function with spatial-wise attention. Journal of Neural Engineering, 2024.

• IEEE Transactions on Biomedical Engineering T. Zhong, W. Zhao, Y. Zhang, Y. Pan, P. Dong, Z. Jiang, H. Jiang, Y. Zhou, X. Kui, Y. Shang, L. Zhao, L. Yang, Y. Wei, Z. Li, J. Zhang, L. Yang, H. Chen, H. Zhao, Y. Liu, N. Zhu, Y. Li, Y. Wang, J. Yao, J. Wang, Y. Zeng, L. He, C. Zheng, Z. Zhang, M. Li, Z. Liu, H. Dai, Z. Wu, L. Zhang, S. Zhang, X. Cai, X. Hu, S. Zhao, X. Jiang, X. Zhang, W. Liu, X. Li, D. Zhu, L. Guo, D. Shen, J. Han, T. Liu, J. Liu, T. Zhang. ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Impression Generation on Multi-Institution and Multi-System Data. IEEE Transactions on Biomedical Engineering, 2025.

• Meta-Radiology L. Zhao, L. Zhang, Z. Wu, Y. Chen, H. Dai, X. Yu, Z. Liu, T. Zhang, X. Hu, and X. Jiang. When brain-inspired ai meets agi. Meta-Radiology, 2023.

• IEEE Reviews in Biomedical Engineering X. Li, L. Zhao, L. Zhang, Z. Wu, Z. Liu, H. Jiang, C. Cao, S. Xu, Y. Li, H. Dai, Y. Yuan, J. Liu, G. Li, D. Zhu, P. Yan, Q. Li, W. Liu, T. Liu, and D. Shen. Artificial general intelligence for medical imaging analysis. IEEE Reviews in Biomedical Engineering, 2024.

• Medical Physics L. Zhang, J. M. Holmes, Z. Liu, S. A. Vora, T. T. Sio, C. E. Vargas, N. Y. Yu, S. R. Keole, S. E. Schild, M. Bues, S. Li, T. Liu, J. Shen, W. W. Wong, and W. Liu. Beam mask and sliding window‐facilitated deep learning‐based accurate and efficient dose prediction for pencil beam scanning proton therapy. Medical Physics, 2024.

• Biotechnology Advances X. Gong, J. Zhang, Q. Gan, Y. Teng, J. Hou, Y. Lyu, Z. Liu, Z. Wu, R. Dai, Y. Zou, X. Wang, D. Zhu, H. Zhu, T. Liu, and Y. Yan. Advancing microbial production through artificial intelligence-aided biology. Biotechnology Advances, 2024.

• Quantitative Biology Ruan, W., Lyu, Y., Zhang, J., Cai, J., Shu, P., Ge, Y., Lu, Y., Gao, S., Wang, Y., Wang, P., Zhao, L., Wang, T., Liu, Y., Fang, L., Liu, Z., Li, Y., Wu, Z., Chen, J., Jiang, H., Pan, Y., Yang, Z., Chen, J., Liang, S., Zhang, W., Ma, T., Dou, Y., Zhang, J., Gong, X., Gan, Q., Zou, Y., Chen, Z., Qian, Y., Yu, S., Lu, J., Song, K., Wang, X., Sikora, A., Li, G., Li, X., Li, Q., Wang, Y., Zhang, L., Abate, Y., He, L., Zhong, W., Liu, R., Huang, C., Liu, W., Shen, Y., Ma, P., Zhu, H., Yan, Y., Zhu, D., Liu, T. Large language models for bioinformatics. Quantitative Biology, 2026.

• Artificial Intelligence Review Fang, L., Yu, X., Cai, J., Chen, Y., Wu, S., Liu, Z., Yang, Z., Lu, H., Gong, X., Liu, Y., Ma, T., Ruan, W., Abbasi, A., Zhang, J., Wang, T., Latif, E., Liu, W., Zhang, W., Kolouri, S., Zhai, X., Zhu, D., Zhong, W., Liu, T., Ma, P. Knowledge distillation and dataset distillation of large language models: Emerging trends, challenges, and future directions. Artificial Intelligence Review, 2026.

• Frontiers in Oncology P. Wang, J. Holmes, Z. Liu, D. Chen, T. Liu, J. Shen, and W. Liu. A recent evaluation on the performance of LLMs on radiation oncology physics using questions of randomly shuffled options. Frontiers in Oncology, 2025.

• Visualized Cancer Medicine J. Chen, Y. Yang, H. Feng, C. Liu, L. Zhang, J. M. Holmes, Z. Liu, H. Lin, T. Liu, C. B. Simone, N. Y. Lee, S. J. Frank, D. J. Ma, S. H. Patel, and W. Liu. Enabling clinical use of linear energy transfer in proton therapy for head and neck cancer–A review of implications for treatment planning and adverse events study. Visualized Cancer Medicine, 2025.

• NeuroImage Y. Wu, X. Gao, Z. Liu, P. Wang, Z. Wu, Y. Li, T. Zhang, T. Liu, T. Liu, and X. Li. Decoding cortical folding patterns in marmosets using machine learning and large language model. NeuroImage, 2025.

• IEEE Transactions on Medical Imaging Y. Sun, M. A. Dalton, R. D. Sanders, Z. Liu, M. Cabezas, Y. Yuan, X. Li, T. Liu, S. L. Naismith, F. Calamante and J. Lv. Age Sensitive Hippocampal Functional Connectivity: New Insights from 3D CNNs and Saliency Mapping. IEEE Transactions on Medical Imaging, 2025.

• Meta-Radiology H. Jiang, Y. Pan, J. Chen, Z. Liu, L. Sun, Q. Li, L. Zhang, D. Zhu, X. Wang, W. Liu, X. Li, G. Li, W. Zhang, L. Zhao, X. Yu, Y. Wang, and T. Liu. Quantum Artificial Intelligence: A Comprehensive Survey. Meta-Radiology, 2026. 

• Quantitative Biology W. Ruan, Y. Lyu, J. Zhang, J. Cai, P. Shu, Y. Ge, Y. Lu, S. Gao, Y. Wang, P. Wang, L. Zhao, T. Wang, Y. Liu, L. Fang, Z. Liu, Z. Liu, Y. Li, Z. Wu, J. Chen, H. Jiang, Y. Pan, Z. Yang, J. Chen, S. Liang, W. Zhang, T. Ma, Y. Dou, J. Zhang, X. Gong, Q. Gan, Y. Zou, Z. Chen, Y. Qian, S. Yu, J. Lu, K. Song, X. Wang, A. Sikora, G. Li, X. Li, Q. Li, Y. Wang, L. Zhang, Y. Abate, L. He, W. Zhong, R. Liu, C. Huang, W. Liu, Y. Shen, P. Ma, H. Zhu, Y. Yan, D. Zhu, and T. Liu. Large language models for bioinformatics. Quantitative Biology, 2026.

Conferences

• AIED Z. Liu, X. He, L. Liu, T. Liu, and X. Zhai. Context matters: A strategy to pre-train language model for science education. Proceedings of the International Conference on Artificial Intelligence in Education, 2023.

• MLMI Z. Liu, A. Zhong, Y. Li, L. Yang, C. Ju, Z. Wu, C. Ma, P. Shu, C. Chen, S. Kim, H. Dai, L. Zhao, D. Zhu, J. Liu, W. Liu, D. Shen, Q. Li, T. Liu, and X. Li. Tailoring large language models to radiology: A preliminary approach to llm adaptation for a highly specialized domain. Proceedings of the International Workshop on Machine Learning in Medical Imaging, 2023.

• IJCAI S. Rezayi, Z. Liu , Z. Wu, C. Dhakal, B. Ge, C. Zhen, T. Liu, and S. Li. AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition. Proceedings of the International Joint Conference on Artificial Intelligence, 2022.

• BIBM W. Liao, Z. Liu , Y. Zhang, X. Huang, F. Qi, S. Ding, H. Ren, Z. Wu, H. Dai, S. Li, L. Wu, N. Liu, Q. Li, T. Liu, X. Li, and H. Cai. Coarse-to-fine knowledge graph domain adaptation based on distantly-supervised iterative training. 2023 IEEE International Conference on Bioinformatics and Biomedicine, 2023.

• VIS M. Bancilhon, Z. Liu , and A. Ottley. Let’s gamble: How a poor visualization can elicit risky behavior. 2020 IEEE Visualization Conference, 2020.

• AAPM P. Wang, Z. Liu , Y. Li, J. M. Holmes, P. Shu, L. Zhang, X. Li, Q. Li, S. A. Vora, S. H. Patel, T. T. Sio, T. Liu, and W. Liu. Fine-tuning large language models for radiation oncology, a highly specialized healthcare domain. AAPM 66th Annual Meeting & Exhibition, 2024.

• ACL Y. Liu, Z. Liu , Z. Wu, J. Ning, H. Sun, S. Xia, Y. Yang, X. Gao, N. Qiang, B. Ge, T. Liu, J. Han, and X. Hu. Brain-Inspired Exploration of Functional Networks and Key Neurons in Large Language Models. Annual Meeting of the Association for Computational Linguistics, 2026.

• MLMI S. Rezayi, H. Dai, Z. Liu* , Z. Wu, A. Hebbar, A. H. Burns, L. Zhao, D. Zhu, X. Li, Q. Li, W. Liu, S. Li, and T. Liu. ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition. Proceedings of the 13th International Workshop on Machine Learning in Medical Imaging, 2022.

• ICML Y. Huang, L. Sun, H. Wang, S. Wu, Q. Zhang, Y. Li, C. Gao, Y. Huang, W. Lyu, Y. Zhang, X. Li, H. Sun, Z. Liu, Y. Liu, Y. Wang, Z. Zhang, B. Vidgen, B. Kailkhura, C. Xiong, C. Xiao, C. Li, E. P. Xing, F. Huang, H. Liu, H. Ji, H. Wang, H. Zhang, H. Yao, M. Kellis, M. Zitnik, M. Jiang, M. Bansal, J. Zou, J. Pei, J. Liu, J. Gao, J. Han, J. Zhao, J. Tang, J. Wang, J. Vanschoren, J. Mitchell, K. Shu, K. Xu, K. Chang, L. He, L. Huang, M. Backes, N. Z. Gong, P. S. Yu, P. Chen, Q. Gu, R. Xu, R. Ying, S. Ji, S. Jana, T. Chen, T. Liu, T. Zhou, W. Y. Wang, X. Li, X. Zhang, X. Wang, X. Xie, X. Chen, X. Wang, Y. Liu, Y. Ye, Y. Cao, Y. Chen, and Y. Zhao. Trustllm: Trustworthiness in large language models. Proceedings of the International Conference on Machine Learning, 2024.

• AMIA Y. Shi, S. Xu, T. Yang, Z. Liu, T. Liu, X. Li, N. Liu. Mkrag: Medical knowledge retrieval augmented generation for medical question answering. Annual Symposium Proceedings, 2025.

• NeurIPS C. Ma, H. Jiang, W. Chen, Y. Li, Z. Wu, X. Yu, Z. Liu, L. Guo, D. Zhu, T. Zhang, D. Shen, T. Liu, and X. Li. Eye-gaze guided multi-modal alignment for medical representation learning. Advances in Neural Information Processing Systems, 2024.

• MICCAI L. Zhao, Z. Wu, H. Dai, Z. Liu, T. Zhang, D. Zhu, and T. Liu. Embedding human brain function via transformer. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022.

• ACL M. Zhou, X. Liu, D. Liu, Z. Wu, Z. Liu, L. Zhao, D. Zhu, L. Guo, J. Han, T. Liu, and X. Hu. Fine-grained artificial neurons in audio-transformers for disentangling neural auditory encoding. Findings of the Association for Computational Linguistics, 2023.

• BI H. Cai, X. Huang, Z. Liu, W. Liao, H. Dai, Z. Wu, D. Zhu, H. Ren, Q. Li, T. Liu, and X. Li. Multimodal approaches for alzheimer’s detection using patients’ speech and transcript. International Conference on Brain Informatics, 2023.

• MLMI H. Dai, Q. Li, L. Zhao, L. Pan, C. Shi, Z. Liu, Z. Wu, L. Zhang, S. Zhao, X. Wu, T. Liu, and D. Zhu. Graph representation neural architecture search for optimal spatial/temporal functional brain network decomposition. International Workshop on Machine Learning in Medical Imaging, 2022.

• ISBI Y. Pan, H. Jiang, J. Chen, Y. Li, H. Zhao, Y. Zhou, P. Shu, Z. Wu, Z. Liu, D. Zhu, X. Li, Y. Abate, T. Liu. EG-SpikeFormer: Eye-gaze guided transformer on spiking neural networks for medical image analysis. 2025 IEEE 22nd International Symposium on Biomedical Imaging, 2025.

• BIBM Y. Wei, T. Zhang, H. Zhang, T. Zhong, L. Zhao, Z. Liu, C. Ma, S. Zhang, M. Shang, L. Du, X. Li, T. Liu, and J. Han. Chat2brain: A method for mapping open-ended semantic queries to brain activation maps. 2023 IEEE International Conference on Bioinformatics and Biomedicine, 2023.

• ADMA Q. Li, H. Dai, J. Lv, L. Zhao, Z. Liu, Z. Wu, X. Wu, C. Coles, X. Hu, T. Liu, and D. Zhu. Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search. International Conference on Advanced Data Mining and Applications, 2023.

• ISBI Y. Li, Y. Pan, J. Chen, Y. Zhou, H. Jiang, H. Zhao, Y. Lyu, Z. Liu, L. Zhao, D. Zhu, X. Li, and T. Liu. MEDQUA: A NISQ-Aware Quantum Adapter for Medical Vision-Language Models. 2026 IEEE 23rd International Symposium on Biomedical Imaging, 2026.

Pre-prints

• J.Chen, Y.Yang, OM.Muller, L.Zeng, Z.Liu, T.Liu, W.Liu. Age-Dependent Causal Effects of Mandibular Dose on Osteoradionecrosis Risk After Head and Neck Radiotherapy, arXiv: 2602.06212 v1-arXiv: 2602.06212 v1, 2026.
• Y.Li, Z.Wu, Y.Lv, H.Jiang, W.You, Z.Liu, D.Zhu, X.Li, Q.Li, T.Liu, L.Zhao. Thinking with Gaze: Sequential Eye-Tracking as Visual Reasoning Supervision for Medical VLMs, arXiv preprint arXiv:2603.06697, 2026.
• W.Yang, Z.Liu, Y.Li, B.Yan, L.Li, M.He, D.Wojtczak, Y.Zheng, D.Shi. Empowering locally deployable medical agent via state enhanced logical skills for FHIR-based clinical tasks, arXiv preprint arXiv:2603.06902, 2026.
• Y.Ding, J.Holmes, Y.Hao, Z.Liu, P.Wang, J.Cui, M.Cao, C.Jiang, S.Wei, L.Zhao, C.Liu, L.Zhang, Y.Yang, T.Liu, W.Liu. Applications of Large Language Models in Radiation Oncology: From Workflow Automation to Clinical Intelligence, arXiv preprint arXiv:2604.03509, 2026.
• AH Zidan, Y Pan, H Jiang, R Yan, W Ruan, Z Wu, L Chen, W You, X Li, B.Chen, H.Hu, P.Wang, S.Liu, J.Zhang, S.Li, Z.Liu, Y.Bao, L.Zhao, L.Sun, D.Zhu, X.Li, J.Lv, Q.Li, W.Liu, T.Liu, W.Zhang. World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications, arXiv preprint arXiv:2606.00133, 2026.
• S Li, P Shu, C Yu, P Wang, R Zhang, B Guo, X Li, R Yan, AH Zidan, Y Pan, W.Ruan, L.Chen, J.Chen, Z.Ding, Y.Li, Z.Liu, H.Dai, L.Zhao, Y.Bao, X.Li, W.Zhang, T.Liu. ASTELD: A Six-Axis Classification Framework for Autonomous AI Agents - Design, Evaluation, and an OpenClaw Case Study, arXiv preprint arXiv:2608.05201, 2026.
• S.Li, P.Shu, C.Yu, P.Wang, R.Zhang, B.Guo, X.Li, R.Yan, A.Zidan, Y.Pan, W.Ruan, L.Chen, J.Chen, Z.Ding, Y.Li, Z.Liu, H.Dai, L.Zhao, Y.Bao, X.Li, W.Zhang, and T.Liu. The Rise of Autonomous AI Agents: A Comprehensive Survey of OpenClaw—Architecture, Security, Ecosystem, and Beyond, 2026.
• Z. Liu, Y. Li, P. Shu, A. Zhong, L. Yang, C. Ju, Z. Wu, C. Ma, J. Luo, C. Chen, S. Kim, J. Hu, H. Dai, L. Zhao, D. Zhu, J. Liu, W. Liu, D. Shen, T. Liu, Q. Li, and X. Li. Radiology-llama2: Best-in-class large language model for radiology, arXiv preprint arXiv:2309.06419, 2023.
• Z. Liu, T. Zhong, Y. Li, Y. Zhang, Y. Pan, Z. Zhao, P. Dong, C. Cao, Y. Liu, P. Shu, Y. Wei, Z. Wu, C. Ma, J. Wang, S. Wang, M. Zhou, Z. Jiang, C. Li, J. Holmes, S. Xu, L. Zhang, H. Dai, K. Zhang, L. Zhao, Y. Chen, X. Liu, P. Wang, P. Yan, J. Liu, B. Ge, L. Sun, D. Zhu, X. Li, W. Liu, X. Cai, X. Hu, X. Jiang, S. Zhang, X. Zhang, T. Zhang, S. Zhao, Q. Li, H. Zhu, D. Shen, and T. Liu. Evaluating large language models for radiology natural language processing, arXiv preprint arXiv:2307.13693, 2023.
• Z. Liu, P. Wang, Y. Li, J. Holmes, P. Shu, L. Zhang, C. Liu, N. Liu, D. Zhu, X. Li, Q. Li, S. H. Patel, T. T. Sio, T. Liu, and W. Liu. Radonc-gpt: A large language model for radiation oncology, arXiv preprint arXiv:2309.10160, 2023.
• Z. Liu, H. Jiang, T. Zhong, Z. Wu, C. Ma, Y. Li, X. Yu, Y. Zhang, Y. Pan, P. Shu, Y. Lyu, L. Zhang, J. Yao, P. Dong, C. Cao, Z. Xiao, J. Wang, H. Zhao, S. Xu, Y. Wei, J. Chen, H. Dai, P. Wang, H. He, Z. Wang, X. Wang, X. Zhang, L. Zhao, Y. Liu, K. Zhang, L. Yan, L. Sun, J. Liu, N. Qiang, B. Ge, X. Cai, S. Zhao, X. Hu, Y. Yuan, G. Li, S. Zhang, X. Zhang, X. Jiang, T. Zhang, D. Shen, Q. Li, W. Liu, X. Li, D. Zhu, and T. Liu. Holistic evaluation of gpt-4v for biomedical imaging, arXiv preprint arXiv:2312.05256, 2023.
• Z. Liu, Z. Wu, M. Hu, B. Zhao, L. Zhao, T. Zhang, H. Dai, X. Chen, Y. Shen, S. Li, Q. Li, X. Li, B. Murray, T. Liu, and A. Sikora. Pharmacygpt: The ai pharmacist, arXiv preprint arXiv:2307.10432, 2023.
• Z. Liu, Y. Li, Q. Cao, J. Chen, T. Yang, Z. Wu, J. Hale, J. Gibbs, K. Rasheed, N. Liu, G. Mai, and T. Liu. Transformation vs tradition: Artificial general intelligence (AGI) for arts and humanities, arXiv preprint arXiv:2310.19626, 2023.
• Z. Liu, Y. Huang, X. Yu, L. Zhang, Z. Wu, C. Cao, H. Dai, L. Zhao, Y. Li, P. Shu, F. Zeng, L. Sun, W. Liu, D. Shen, Q. Li, T. Liu, D. Zhu, and X. Li. DeID-GPT: zero-shot medical text de-identification by GPT-4, arXiv preprint arXiv:2303.11032, 2023.
• Z. Liu, Y. Li, O. Zolotarevych, R. Yang, and T. Liu. Llm-potus score: A framework of analyzing presidential debates with large language models, arXiv preprint arXiv:2409.08147, 2024.
• Z. Liu, J. Holmes, W. Liao, C. Liu, L. Zhang, H. Feng, P. Wang, M. A. Elahi, H. Cai, L. Sun, Q. Li, X. Li, T. Liu, J. Shen, and W. Liu. The radiation oncology NLP database, arXiv preprint arXiv:2401.10995, 2024.
• H. Zhao, Z. Liu, Z. Wu, Y. Li, T. Yang, P. Shu, S. Xu, H. Dai, L. Zhao, H. Jiang, Y. Pan, J. Chen, Y. Zhou, Z. Zhang, R. Sun, G. Mai, N. Liu, and T. Liu. Revolutionizing finance with llms: An overview of applications and insights, arXiv preprint arXiv:2401.11641, 2024.
• T. Zhong, Z. Liu, Y. Pan, Y. Zhang, Y. Zhou, S. Liang, Z. Wu, Y. Lyu, P. Shu, X. Yu, C. Cao, H. Jiang, H. Chen, Y. Li, J. Chen, H. Hu, Y. Liu, H. Zhao, S. Xu, H. Dai, L. Zhao, R. Zhang, W. Zhao, Z. Yang, J. Chen, P. Wang, W. Ruan, H. Wang, H. Zhao, J. Zhang, Y. Ren, S. Qin, T. Chen, J. Li, A. H. Zidan, A. Jahin, M. Chen, S. Xia, J. Holmes, Y. Zhuang, J. Wang, B. Xu, W. Xia, J. Yu, K. Tang, Y. Yang, B. Sun, T. Yang, G. Lu, X. Wang, L. Chai, H. Li, J. Lu, L. Sun, X. Zhang, B. Ge, X. Hu, L. Zhang, H. Zhou, L. Zhang, S. Zhang, N. Liu, B. Jiang, L. Kong, Z. Xiang, Y. Ren, J. Liu, X. Jiang, Y. Bao, W. Zhang, X. Li, G. Li, W. Liu, D. Shen, A. Sikora, X. Zhai, D. Zhu, and T. Liu. Evaluation of openai o1: Opportunities and challenges of agi, arXiv preprint arXiv:2409.18486, 2024.
• H. Dai, Z. Liu, W. Liao, X. Huang, Z. Wu, L. Zhao, W. Liu, N. Liu, S. Li, D. Zhu, H. Cai, Q. Li, D. Shen, T. Liu, and X. Li. Chataug: Leveraging chatgpt for text data augmentation, arXiv preprint arXiv:2302.13007, vol. 1, no. 2, 2023.
• C. Tang, Z. Liu, C. Ma, Z. Wu, Y. Li, W. Liu, D. Zhu, Q. Li, X. Li, T. Liu, and L. Fan. PolicyGPT: Automated analysis of privacy policies with large language models, arXiv preprint arXiv:2309.10238, 2023.
• L. Zhang, Z. Liu, L. Zhang, Z. Wu, X. Yu, J. Holmes, H. Feng, H. Dai, X. Li, Q. Li, D. Zhu, T. Liu, and W. Liu. Segment anything model (sam) for radiation oncology, arXiv preprint arXiv:2306.11730, 2023.
• W Liao, Z Liu, H Dai, S Xu, Z Wu, Y Zhang, X Huang, D Zhu, H Cai, T Liu. Differentiate chatgpt-generated and human-written medical texts, arXiv preprint arXiv:2304.11567, 2023.
• Z. Yang, Z. Liu, J. Zhang, C. Lu, J. Tai, T. Zhong, Y. Li, S. Zhao, T. Yao, Q. Liu, J. Yang, Q. Liu, Z. Li, K. Wang, L. Ma, D. Zhu, Y. Ren, B. Ge, W. Zhang, N. Qiang, T. Zhang, and T. Liu. Analyzing nobel prize literature with large language models, arXiv preprint arXiv:2410.18142, 2024.
• M. Bancilhon, Z. Liu, A. Ottley. Let’s Gamble: Uncovering the Impact of Visualization on Risk Perception and Decision-Making, arXiv preprint arXiv:1910.09725, 2019.
• K. Zhang, J. Yu, Z. Yan, E. Adhikarla, R. Zhou, Z. Yan, Y. Liu, Z. Liu, L. He, B. Davison, X. Li, H. Ren, S. Fu, J. Zou, W. Liu, J. Huang, C. Chen, Y. Zhou, T. Liu, X. Chen, Y. Chen, Q. Li and H. Liu. Biomedgpt: A unified and generalist biomedical generative pre-trained transformer for vision, language, and multimodal tasks, arXiv preprint arXiv:2305.17100, vol. 3, May 2023.
• J. Wang, H. Jiang, Y. Liu, C. Ma, X. Zhang, Y. Pan, M. Liu, P. Gu, S. Xia, W. Li, Y. Zhang, Z. Wu, Z. Liu, T. Zhong, B. Ge, T. Zhang, N. Qiang, X. Hu, X. Jiang, X. Zhang, W. Zhang, D. Shen, T. Liu, and S. Zhang. A comprehensive review of multimodal large language models: Performance and challenges across different tasks, arXiv preprint arXiv:2408.01319, 2024.
• H. Dai, C. Ma, Z. Yan, Z. Liu, E. Shi, Y. Li, P. Shu, X. Wei, L. Zhao, Z. Wu, F. Zeng, D. Zhu, W. Liu, Q. Li, L. Sun, S. Zhang, T. Liu, and X. Li. Samaug: Point prompt augmentation for segment anything model, arXiv preprint arXiv:2307.01187, 2023.
• F. Dou, J. Ye, G. Yuan, Q. Lu, W. Niu, H. Sun, L. Guan, G. Lu, G. Mai, N. Liu, J. Lu, Z. Liu, Z. Wu, C. Tan, S. Xu, X. Wang, G. Li, L. Chai, S. Li, J. Sun, H. Sun, Y. Shao, C. Li, T. Liu, and W. Song. Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges, arXiv preprint arXiv:2309.07438, 2023.
• S. Mukherjee, P. Gamble, M. S. Ausin, N. Kant, K. Aggarwal, N. Manjunath, D. Datta, Z. Liu, J. Ding, S. Busacca, C. Bianco, S. Sharma, R. Lasko, M. Voisard, S. Harneja, D. Filippova, G. Meixiong, K. Cha, A. Youssefi, M. Buvanesh, H. Weingram, S. Bierman-Lytle, H. S. Mangat, K. Parikh, S. Godil, and A. Miller. Polaris: A safety-focused llm constellation architecture for healthcare, arXiv preprint arXiv:2403.13313, 2024.
• T. Zhong, Z. Yang, Z. Liu, R. Zhang, Y. Liu, H. Sun, Y. Pan, Y. Li, Y. Zhou, H. Jiang, J. Chen, and T. Liu. Opportunities and challenges of large language models for low-resource languages in humanities research, arXiv preprint arXiv:2412.04497, 2024.
• Y. Li, H. Zhao, H. Jiang, Y. Pan, Z. Liu, Z. Wu, P. Shu, J. Tian, T. Yang, S. Xu, Y. Lyu, P. Blenk, J. Pence, J. Rupram, E. Banu, N. Liu, L. Wang, W. Song, X. Zhai, K. Song, D. Zhu, B. Li, X. Wang, and T. Liu. Large language models for manufacturing, arXiv preprint arXiv:2410.21418, 2024.
• S. Xu, Z. Wu, H. Zhao, P. Shu, Z. Liu, W. Liao, S. Li, A. Sikora, T. Liu, and X. Li. Reasoning before comparison: LLM-enhanced semantic similarity metrics for domain specialized text analysis, arXiv preprint arXiv:2402.11398, 2024.
• Z. Guan, Z. Wu, Z. Liu, D. Wu, H. Ren, Q. Li, X. Li, and N. Liu. Cohortgpt: An enhanced gpt for participant recruitment in clinical study, arXiv preprint arXiv:2307.11346, 2023.
• C. Tan, Q. Cao, Y. Li, J. Zhang, X. Yang, H. Zhao, Z. Wu, Z. Liu, H. Yang, N. Wu, T. Tang, X. Ye, L. Chai, N. Liu, C. Li, L. Mu, T. Liu, and G. Mai. On the promises and challenges of multimodal foundation models for geographical, environmental, agricultural, and urban planning applications, arXiv preprint arXiv:2312.17016, 2023.
• J. Tian, J. Hou, Z. Wu, P. Shu, Z. Liu, Y. Xiang, B. Gu, N. Filla, Y. Li, N. Liu, X. Chen, K. Tang, T. Liu, and X. Wang. Assessing large language models in mechanical engineering education: A study on mechanics-focused conceptual understanding, arXiv preprint arXiv:2401.12983, 2024.
• E. Latif, Y. Zhou, S. Guo, Y. Gao, L. Shi, M. Nayaaba, G. Lee, L. Zhang, A. Bewersdorff, L. Fang, X. Yang, H. Zhao, H. Jiang, H. Lu, J. Li, J. Yu, W. You, Z. Liu, V. S. Liu, H. Wang, Z. Wu, J. Lu, F. Dou, P. Ma, N. Liu, T. Liu, and X. Zhai. A systematic assessment of openai o1-preview for higher order thinking in education, arXiv preprint arXiv:2410.21287, 2024.
• H. Zhao, Q. Ling, Y. Pan, T. Zhong, J.-Y. Hu, J. Yao, F. Xiao, Z. Xiao, Y. Zhang, S.-H. Xu, S.-N. Wu, M. Kang, Z. Wu, Z. Liu, X. Jiang, T. Liu, Y. Shao. Ophtha-llama2: A large language model for ophthalmology, arXiv preprint arXiv:2312.04906, 2023.
• S. Xu, Y. Zhou, Z. Liu, Z. Wu, T. Zhong, H. Zhao, Y. Li, H. Jiang, Y. Pan, J. Chen, J. Lu, W. Zhang, T. Zhang, L. Zhang, D. Zhu, X. Li, W. Liu, Q. Li, A. Sikora, X. Zhai, Z. Xiang, and T. Liu. Towards next-generation medical agent: How o1 is reshaping decision-making in medical scenarios, arXiv preprint arXiv:2411.14461, 2024.
• Y. Lyu, Z. Wu, L. Zhang, J. Zhang, Y. Li, W. Ruan, Z. Liu, X. Yu, C. Cao, T. Chen, M. Chen, Y. Zhuang, X. Li, R. Liu, C. Huang, W. Li, T. Liu, and D. Zhu. Gp-gpt: Large language model for gene-phenotype mapping, arXiv preprint arXiv:2409.09825, 2024.
• P. Shu, J. Chen, Z. Liu, H. Wang, Z. Wu, T. Zhong, Y. Li, H. Zhao, H. Jiang, Y. Pan, Y. Zhou, C. Owl, X. Zhai, N. Liu, C. Saunt, and T. Liu. Transcending language boundaries: Harnessing llms for low-resource language translation, arXiv preprint arXiv:2411.11295, 2024.
• Y. Shi, P. Shu, Z. Liu, Z. Wu, Q. Li, T. Liu, N. Liu, and X. Li. Mgh radiology llama: A llama 3 70b model for radiology, arXiv preprint arXiv:2408.11848, 2024.
• J. Holmes, R. Peng, Y. Li, J. Hu, Z. Liu, Z. Wu, H. Zhao, X. Jiang, W. Liu, H. Wei, J. Zou, T. Liu, and Y. Shao. Evaluating multiple large language models in pediatric ophthalmology, arXiv preprint arXiv:2311.04368, 2023.
• Y. Liu, E. Ge, M. He, Z. Liu, S. Zhao, X. Hu, D. Zhu, T. Liu, and B. Ge. Discovering dynamic functional brain networks via spatial and channel-wise attention, arXiv preprint arXiv:2205.09576, 2022.
• H. Jiang, Y. Pan, J. Chen, Z. Liu, Y. Zhou, P. Shu, Y. Li, H. Zhao, S. Mihm, L. C. Howe, and T. Liu. Oraclesage: Towards unified visual-linguistic understanding of oracle bone scripts through cross-modal knowledge fusion, arXiv preprint, November 26, 2024, arXiv:2411.17837.
• S. Shankar, Y. Pan, H. Jiang, Z. Liu, M. R. Darbandi, A. Lorenzo, J. Chen, M. M. Hasan, A. H. Zidan, E. Gelman, J. A. Konfrst, J. Y. Russell, K. Fernandes, T. Yang, Y. Li, H. Zhao, A. Jahin, T. Ganguly, S. Dinesha, Y. Zhou, Z. Wu, X. Li, L. Adusumilli, A. Hussein, S. Nookarapu, J. Hou, K. Jiang, J. Li, B. Heinel, X. Xi, H. Hubbard, Z. Khan, L. Whitaker, I. Cao, M. Allgaier, A. Darby, L. Zhao, L. Zhang, X. Wang, X. Li, W. Zhang, X. Yu, D. Zhu, Y. Abate, T. Liu. Bridging brains and machines: A unified frontier in neuroscience, artificial intelligence, and neuromorphic systems, arXiv preprint arXiv:2507.10722, 2025.
• P. Shu, H. Zhao, H. Jiang, Y. Li, S. Xu, Y. Pan, Z. Wu, Z. Liu, G. Lu, L. Guan, G. Chen, X. Wang, and T. Liu. Llms for coding and robotics education, arXiv preprint, February 9, 2024, arXiv:2402.06116.
• J. Wang, H. Zhao, Z. Yang, P. Shu, J. Chen, H. Sun, R. Liang, S. Li, P. Shi, L. Ma, Z. Liu, Z. Liu, T. Zhong, Y. Zhang, C. Ma, X. Zhang, T. Zhang, T. Ding, Y. Ren, T. Liu, X. Jiang, and S. Zhang. Legal evalutions and challenges of large language models, arXiv preprint, November 15, 2024, arXiv:2411.10137.
• H. Dai, L. Zhang, L. Zhao, Z. Wu, Z. Liu, D. Liu, X. Yu, Y. Lyu, C. Li, N. Liu, T. Liu, and D. Zhu. Hierarchical semantic tree concept whitening for interpretable image classification, arXiv preprint arXiv:2307.04343, 2023.
• X. Gong, J. Holmes, Y. Li, Z. Liu, Q. Gan, Z. Wu, J. Zhang, Y. Zou, Y. Teng, T. Jiang, H. Zhu, W. Liu, T. Liu, and Y. Yan. Evaluating the potential of leading large language models in reasoning biology questions, arXiv preprint arXiv:2311.07582, 2023.
• H. Lu, L. Fang, R. Zhang, X. Li, J. Cai, H. Cheng, L. Tang, Z. Liu, Z. Sun, T. Wang, Y. Zhang, A. H. Zidan, J. Xu, J. Yu, M. Yu, H. Jiang, X. Gong, W. Luo, B. Sun, Y. Chen, T. Ma, S. Wu, Y. Zhou, J. Chen, H. Xiang, J. Zhang, A. Jahin, W. Ruan, K. Deng, Y. Pan, P. Wang, J. Li, Z. Liu, L. Zhang, L. Zhao, W. Liu, D. Zhu, X. Xing, F. Dou, W. Zhang, C. Huang, R. Liu, M. Zhang, Y. Liu, X. Sun, Q. Lu, Z. Xiang, W. Zhong, T. Liu, and P. Ma. Alignment and safety in large language models: Safety mechanisms, training paradigms, and emerging challenges, arXiv preprint arXiv:2507.19672, 2025.
• Z. Liu, L. Tang, Z. Sun, Z. Liu, Y. Lyu, W. Ruan, Y. Xu, L. Shan, J. Shin, X. Chen, D. Zhu, T. Liu, R. Liu, and C. Huang. AD-GPT: Large Language Models in Alzheimer’s Disease, arXiv preprint arXiv:2504.03071, 2025.
• Y. Li, Z. Wu, H. Zhao, T. Yang, Z. Liu, P. Shu, J. Sun, R. Parasuraman, and T. Liu. Aldm-grasping: Diffusion-aided zero-shot sim-to-real transfer for robot grasping, arXiv preprint arXiv:2403.11459, 2024.
• Z. Yang, X. Lin, Q. He, Z. Huang, Z. Liu, H. Jiang, P. Shu, Z. Wu, Y. Li, S. Law, G. Mai, T. Liu, T. Yang. Examining the commitments and difficulties inherent in multimodal foundation models for street view imagery, arXiv preprint arXiv:2408.12821, 2024.
• P. Shu, J. Chen, Z. Liu, H. Zhao, X. Li, T. Liu. Survey of HPC in US Research Institutions, arXiv preprint arXiv:2506.19019, 2025.
• Y. Shi, S. Xu, Z. Liu, T. Liu, X. Li, and N. Liu. Mededit: Model editing for medical question answering with external knowledge bases, CoRR, 2023.
• C. Ma, H. Jiang, W. Chen, Y. Li, Z. Wu, X. Yu, Z. Liu, L. Guo, D. Zhu, T. Zhang, D. Shen, T. Liu, and X. Li. Eye-gaze guided multi-modal alignment framework for radiology, CoRR, 2024.
• A. Most, M. Hu, H. Yang, T. Liu, X. Chen, S. Li, S. Xu, Z. Liu, and A. Sikora. Evaluating Accuracy and Reproducibility of Large Language Model Performance in Pharmacy Education, medRxiv, 2024.