Publications
Preprint
- Zhou, H.,Chow L, Harnack L, Zhang,R.(2024).NutriRAG: Unleashing the Power of Large Language Models for Food Identification and Classification through Retrieval Methods
- Li, M., Zhou, H., Zhang,R.(2023). PeTailor: Improving Large Language Model by Tailored Chunk Scorer in Biomedical Triple Extraction.2023.https://doi.org/10.48550/arXiv.2310.18463
- Yang, H., Li, M., Xiao, Y., Zhou, H., Zhang, R., & Fang, Q. (2023). One LLM is not Enough: Harnessing the Power of Ensemble Learning for Medical Question Answering [Preprint]. Health Informatics. https://doi.org/10.1101/2023.12.21.23300380 https://doi.org/10.48550/ARXIV.2310.15959
- Li, M., Ye, Y., Yeung, J.,Zhou, H., Chu, H., Zhang, R.(2023). W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition. arXiv preprint arXiv:2305.18624. 2023 May 29.
Conference/Journal Papers
- [JAMIA] Liu, Y., Wang, H., Zhou, H., Li, M., Hou, Y., Zhou, S., Wang, F., Hoetzlein, R., & Zhang, R. (2023). A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare. https://doi.org/10.48550/ARXIV.2310.18354(accepted)
- [JAMIA] Zhou, H., Li, M., Xiao, Y., Yang, H., & Zhang, R. (2023). LLM Instruction-Example Adaptive Prompting (LEAP) Framework for Clinical Relation Extraction [Preprint].https://doi.org/10.1101/2023.12.15.23300059 (accepted)
- [ACL] Wang, J., Yao, Z., Yang, Z., Zhou, H., Li, R., Wang, X., Xu, Y., & Yu, H. (2023). NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes.
- [JAMIA] Li, M., Zhou, H., Yang,H., Zhang, R.(2023). RT: A Retrieving and Chain-of-Thought Framework for Few-Shot Medical Named Entity Recognition retrieval and Chain-of-Thought processes(accepted)
- [ICLR workshop’24] Chen,T., Da, L., Zhou, H., Li,P., Zhou,K., Chen, T., Wei, H.(2024) Privacy-preserving Finetuning of Large Language Models through Flatness.https://doi.org/10.48550/arXiv.2310.18463
- [NeurIPS workshop’23] Zhang, Z., Yao, Z., Zhou, H., ouyang, F., & Yu, H. (2023). EHRTutor: Enhancing Patient Understanding of Discharge Instructions.https://doi.org/10.48550/ARXIV.2310.19212
- [AMIA Informatics Summit’23] Zhang, J., Wibert, M., Zhou, H., Peng, X., Chen, Q., Keloth, V. K., Hu, Y., Zhang, R., Xu, H., & Raja, K. (2024). A Study of Biomedical Relation Extraction Using GPT Models. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2024, 391–400.
- [JAMIA] Zhou, H., Austin, R., Lu, S.-C., Silverman, G. M., Zhou, Y., Kilicoglu, H., Xu, H., & Zhang, R. (2024). Complementary and Integrative Health Information in the literature: Its lexicon and named entity recognition. Journal of the American Medical Informatics Association, 31(2), 426–434.https://doi.org/10.1093/jamia/ocad216
- [TACL] PaniniQA: Enhancing Patient Education Through Interactive Question Answering. Cai, P.; Yao, Z.; Liu, F.; Wang, D.; Reilly, M.; Zhou, H.; Li, L.; Cao, Y.; Kapoor, A.; Bajracharya, A.; Berlowtiz, D.; and Yu, H. Transactions of the Association for Computational Linguistics. 2023.
- [JHIR] Zhou, H., Silverman, G., Niu, Z. et al. Extracting Complementary and Integrative Health Approaches in Electronic Health Records. J Healthc Inform Res 7, 277–290 (2023). https://doi.org/10.1007/s41666-023-00137-2
- [Sci. Rep.] Xiao Y, Hou Y, Zhou, H., Diallo G, Fiszman M, Wolfson J, Kilicoglu H, Chen Y, Su C, Xu H, Mantyh WG. Repurposing Non-pharmacological Interventions for Alzheimer’s Diseases through Link Prediction on Biomedical Literature. medRxiv. 2023:2023-05.(accepted by Natural Scientific Reports)
- [ICHI’22] Zhou, H., Silverman, G., Niu, Z., Silverman, J., Zhang, R., Evans, R., & Austin, R. (2022).Annotating Music Therapy, Chiropractic and Aquatic Exercise Using Electronic Health Record. 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI), 610–611. https://doi.org/10.1109/ICHI54592.2022.00121
- [AMIA’22] Zhou, H., Austin R, Kilicoglu H, Lu SC, Zhang R. CIHLex: Complementary and Integrative Health Lexicon. In: AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022 [Internet]. 2022. Available from: https://knowledge.amia.org/76677-amia-1.4637602/f008-1.4640715/f008-1.4640716/781- 1.4640726/875-1.4640723