教育背景与工作经历
教育背景 博士，计算机科学，英国诺丁汉大学 硕士，美国罗切斯特大学 学士，北京理工大学 |
教研项目及成果
科研项目 [1]国家社会科学基金青年项目，全国哲学社会科学工作办公室，25CKX001，生成式人工智能基层医疗应用能力及风险防范研究，2025.09–2028.08，在研，主持 [2]教育部人文社会科学研究青年基金，教育部社科司，24YJCZH035，面向基层医疗的语言模型可解释及可控生成研究，2024.04–2027.12，在研，主持 [3]国家自然科学基金面上项目，国家自然科学基金委员会，7257414，人工智能驱动的多模态融合网络舆情扩散机理与协同管控策略研究，2026.01–2029.12，在研，参与 [4]教育部人文社会科学研究青年基金，教育部社科司，23YJCZH281，基于可解释和公平视角的可信推荐方法研究，2023.04–2026.12，在研，参与 学术论文 [1]Large Language Model-Based Collaborative Framework for TCM Reasoning and Aging-Accessible Healthcare. In 2026 International Conference on Computer Supported Cooperative Work in Design (CSCWD), IEEE, 2026 [2]Collaborative Knowledge Graph–Large Language Model Framework for Aging-Oriented Medical Question Answering. In 2026 International Conference on Computer Supported Cooperative Work in Design (CSCWD), IEEE, 2026 [3]Explainable Knowledge-Based Learning for Online Medical Question Answering. In 2024 International Conference on Knowledge Science, Engineering and Management (KSEM), pp. 294-304. Singapore: Springer Nature Singapore, 2024. [4]Towards machine-readable semantic-based E-business contract representations using Network of Timed Automata (NTA). Future Generation Computer Systems 158 (2024): 457-471. [5]Annual Report Tone and Divergence of Opinion: Evidence from Textual Analysis. Journal of Applied Economics 27.1 (2024): 2354641. [6]A Hybrid Medical Text Classification Framework: Integrating Attentive Rule Construction and Neural Network. Neurocomputing 433 (2021): 345-355. [7]Memristive Quantized Neural Networks: A Novel Approach to Accelerate Deep Learning on-Chip. IEEE Transactions on Cybernetics 51 (2021): 1875-1887. [8]Memristive Fuzzy Deep Learning Systems. IEEE Transactions on Fuzzy Systems 29. 8 (2020): 2224-2238. [9]Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing Approach. In 2020 IEEE Congress on Evolutionary Computation (CEC), pp. 1-7. IEEE, 2020. |
主讲课程
机器学习 机器学习课程设计 人工智能综合应用 人工智能综合实验 自然语言处理实验 Python应用 |
