Tiantian Zhu, PhD, Assistant Professor, Shenzhen University.
Email: zhu.tiantian110@gmail.com / tiantianzhu@szu.edu.cn
Research Interests
Natural Language Processing, Large Language Models, Knowledge Graphs, Information Extraction, Deep Learning, Biomedicine, etc.
Opening: Autumn 2025 Master's Program (Interested students are welcome to contact us via email)!
Research Capabilities and Achievements
Tiantian Zhu received her PhD in Computer Science and Technology from Harbin Institute of Technology (Shenzhen) in 2023. During her doctoral studies, she conducted visiting research at Tencent TEG and Pengcheng National Laboratory. After graduation, she conducted postdoctoral research at the Department of Computer Science and Engineering, The Chinese University of Hong Kong. In 2024, she joined the National Engineering Laboratory for Big Data System Computing Technology at Shenzhen University. She is the Secretary of the Medical and Health and Bioinformatics Processing Committee of the Chinese Information Processing Society of China and a member of the Artificial Intelligence Application Committee of the Guangdong Provincial Association of Preventive Medicine. Her research interests mainly include natural language processing, large language models, biomedicine, knowledge graphs, information extraction, and deep learning. Currently, I have published multiple papers in international conferences and journals such as IJCAI, EMNLP, and TASLP, and serve as a reviewer for important international conferences such as EMNLP and COLING. I am the principal investigator of one National Natural Science Foundation of China (NSFC) Youth Project, one Shenzhen University Young Faculty Research Start-up Project, and one internal project of the National Engineering Laboratory for Big Data System Computing Technology.
Selected Research Achievements
1. Tiantian Zhu, Yang Qin, Qingcai Chen, Baotian Hu, and Yang Xiang. Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI 2022), 4036-4042, 2022. (CCF Class A Conference, Top Conference in the Field of Artificial Intelligence)
2. Tiantian Zhu, Yang Qin, Qingcai Chen, Xin Mu, Changlong Yu, and Yang Xiang. Controllable Contrastive Generation for Multilingual Biomedical Entity Linking. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023. (CCF Class B Conference, Top Conference in the Field of Natural Language Processing)
3. Tiantian Zhu, Yang Xiang, Qingcai Chen, Yang Qin, Baotian Hu, and Wentai Zhang. Fine-grained Biomedical Knowledge Negation Detection via Contrastive Learning. Knowledge-Based Systems (KBS), 272:110575, 2023. (JCR Q1, IF=8.8)
4. Tiantian Zhu, Yang Qin, Yang Xiang, Baotian Hu, Qingcai Chen, and Weihua Peng. Distantly supervised biomedical relation extraction using piecewise attentive convolutional neural network and reinforcement learning. Journal of the American Medical Informatics Association (JAMIA), 28(12):2571–2581, 2021. (JCR Q1, IF=6.4)
5.Tiantian Zhu, Yang Qin, Ming Feng, Qingcai Chen, Baotian Hu, and Yang Xiang. BioPRO: Context-Infused Prompt Learning for Biomedical Entity linking. IEEE-ACM Transactions on Audio, Speech and Language Processing (TASLP), 32:374-385, 2024. (JCR Q1, IF=5.4)
Research Projects
National Natural Science Foundation of China (NSFC) Youth Project, 2025.01-2027.12, Principal Investigator
Shenzhen University Young Faculty Research Start-up Fund, 2024.03-2026.12, Principal Investigator
Internal Project of the National Engineering Laboratory for Big Data System Computing Technology, 2024.7-2026.6, Principal Investigator
Teaching
Graduate Courses: Data Mining, Bioinformatics
Undergraduate Courses: University Computer Science
Awards
2023 Shenzhen Artificial Intelligence Society Outstanding Doctoral Dissertation Award
