學(xué)科專業(yè)（專業(yè)型）：計(jì)算機(jī)技術(shù)
大數(shù)據(jù)挖掘與分析、大模型技術(shù)與應(yīng)用、AI for Science
先后承擔(dān)了國(guó)家重點(diǎn)研發(fā)計(jì)劃子課題“食源性疾病歸因模型及預(yù)警模型”、中國(guó)科學(xué)院信息化專項(xiàng)子課題“知識(shí)圖譜與立體精準(zhǔn)專家畫像”、sts課題“眼健康知識(shí)圖譜構(gòu)建與智能應(yīng)用”、國(guó)家重點(diǎn)研發(fā)計(jì)劃國(guó)際合作任務(wù)“基于大數(shù)據(jù)原位可視化的高精度大氣污染仿真”、中國(guó)煙草總公司重大科技項(xiàng)目“煙草行業(yè)質(zhì)量監(jiān)控大數(shù)據(jù)構(gòu)建及應(yīng)用研究”等項(xiàng)目，發(fā)表論文三十余篇，相關(guān)成果發(fā)表在ICDM、SDM、Neurocomputing、Dasfaa、Scientific Data、BMC Bioinfmromatics等國(guó)際學(xué)術(shù)會(huì)議與期刊。
1. Yihao Ai, Zhiyuan Ning, Weiwei Dai, Pengfei Wang, Yi Du, Wenjuan Cui, Kunpeng Liu and Yuanchun Zhou.Distilling Closed-Source LLM’s Knowledge for Locally Stable and Economic Biomedical Entity Linking.ICIC 2025.
2.Xueqing Chen, Yang Gao, Ludi Wang, Wenjuan Cui, Jiamin Huang, Yi Du, Bin Wang. Large language model enhanced corpus of CO2 reduction electrocatalysts and synthesis procedures. Scientific Data, 2024.
3.Shipeng Guo, Kunpeng Liu, Pengfei Wang, Weiwei Dai, Yi Du, Yuanchun Zhou, Wenjuan Cui:
RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph. ICDM 2023?
4.Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui,et al. NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis, SIAM International Conference on Data Mining（SDM23）.?
5.Ludi Wang, Yang Gao, Xueqing Chen, Wenjuan Cui, et al. A corpus of CO2 electrocatalytic reduction process extracted from the scientific literature ,Scientific Data, 2023.?
6.Peng Zhang, Wenjuan Cui, et al. High-efficiency Machine Learning Method for Identifying Foodborne Disease Outbreaks and Confounding Factors, Foodborne Pathogens and Disease, 18(8):590-598, 2021.?
7.Hanxue Wang, Wenjuan Cui, et al.Prediction of Foodborne Diseases Pathogens: A Machine Learning Approach, JMIR Medical Informatics,9(1):e24924, 2020.?
8.Wenjuan Cui, et al.,An algorithm for Event Detection Based on Social Media Data. Neurocomputing, 2017,254:53-58.?