姓名：张桐瑄

性别：女

政治面貌：中共党员

职称：讲师、研究生导师

研究领域：自然语言处理，生物医学文本挖掘

联系方式：txzhang@tjnu.edu.cn

个人简历/教育经历：2021年博士毕业于大连理工大学计算机应用技术专业

教授课程：《数据结构》、《数据结构实验》、《机器学习》、《数据采集加工与ETL技术》

主要科研/教学成果：先后参与国自然科学基金3项，发表学术论文15余篇。现主持国家自然科学基金青年项目1项《面向社交媒体的伪健康信息检测研究》（No. 62306213）。

代表性论文：

[1]Zhang T, Lin H, Xu B, Yang L, Wang J, Duan X. Adversarial neural network with sentiment-aware attention for detecting adverse drug reactions. Journal of Biomedical Informatics. 2021 Nov 1;123:103896.

[2]Zhang T, Lin H, Ren Y, Yang Z, Wang J, Zhang S, Xu B, Duan X. Adversarial transfer network with bilinear attention for the detection of adverse drug reactions from social media. Applied Soft Computing. 2021 Jul 1;106:107358.

[3]Zhang T, Lin H, Ren Y, Yang Z, Wang J, Duan X, Xu B. Identifying adverse drug reaction entities from social media with adversarial transfer learning model. Neurocomputing. 2021 Sep 17;453:254-62.

[4]Zhang T, Lin H, Ren Y, Yang L, Xu B, Yang Z, Wang J, Zhang Y. Adverse drug reaction detection via a multihop self-attention mechanism. BMC bioinformatics. 2019 Dec;20:1-1.

[5]Zhang T, Lin H, Xu B, Ren Y, Yang Z, Wang J, Duan X. Gated iterative capsule network for adverse drug reaction detection from social media. In2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2020 Dec 16 (pp. 387-390). IEEE.

[6]Zhang T, Ren Y, Tadessem MM, Xu B, Liu X, Yang L, Yang Z, Wang J, Lin H. Bi-directional capsule network model for chinese biomedical community question answering. InNatural Language Processing and Chinese Computing: 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9–14, 2019, Proceedings, Part I 8 2019 (pp. 105-116). Springer International Publishing.

[7] He X,Zhang T*, Zhang G. MultiHop attention for knowledge diagnosis of mathematics examination. Applied Intelligence. 2023 May;53(9):10636-46.

[8] Zhang S,Zhang T*, Zhang G. TIG-KIGNN: Time Interval Guided Knowledge Inductive Graph Neural Network for Misinformation Detection from Social Media. In China Health Information Processing Conference 2023 Oct 27 (pp. 287-300). Singapore: Springer Nature Singapore.

[9] Ren Y, Jin R,Zhang T, Xiong D. Do Large Language Models Mirror Cognitive Language Processing?. In Proceedings of the 31st International Conference on Computational Linguistics 2025 Jan (pp. 2988-3001). (COLING 2025 Outstanding Paper)

[10] Gao Y, Ji S,Zhang T, Tiwari P, Marttinen P. Contextualized graph embeddings for adverse drug event detection. In joint European conference on machine learning and knowledge discovery in databases 2022 Sep 19 (pp. 605-620). Cham: Springer International Publishing.

个人学术主页：

https://scholar.google.com/citations?user=Xtf_JNoAAAAJ&hl=en