Tiantian Zhu (朱田恬)
Ph.D. student
Department of Computer Science and Technology
Harbin Institute of Technology (Shenzhen)
Shenzhen, Guangdong, China
E-mail: zhu.tiantian110@gmail.com
[Google Scholar] [Github]


I am a fifth year Ph.D. student at the Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), advised by Prof. Qingcai Chen. I obtained my Master's degree from Harbin Institute of Technology (Shenzhen) in 2018. My research interests lie in information extraction, biomedical NLP, and knowledge graph.


  • [2023-04] One paper is accepted by KBS (IF=8.8)!
  • [2022-04] One paper is accepted by IJCAI 2022 (15% acceptance rate)!
  • [2021-08] One paper is accepted by JAMIA (IF=7.942)!
  • [2021-07] Two papers are accepted by Journal of Chinese Information Processing.
  • Publications

  • 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.[Paper] [Code]
  • 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.[Paper]
  • 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.[Paper] [Code]
  • 李雯昕, 张坤丽, 关同峰, 张欢, 朱田恬, 常宝宝, 陈清财. CHIP2020评测任务1概述:中文医学文本命名实体识别. 中文信息学报, 36(4):66-72, 2022.[Paper]
  • 甘子发, 昝红英, 关同峰, 李雯昕, 张欢, 朱田恬, 穗志方, 陈清财. CHIP 2020评测任务2概述:中文医学文本实体关系抽取. 中文信息学报, 36(6):101-108, 2022.[Paper]
  • Projects

    • Mainly responsible for the construction of a large-scale Chinese open medical knowledge graph CPubMed-KG .



    • 2020.11~2023.07: I was a research intern at Department of Artificial Intelligence, Pengcheng Laboratory.
    • 2019.01~2019.04: I was a research intern at TEG, Tencent.

    Academic Services

    • Conference Reviewer: EMNLP 2023.