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Hongliang Dai (戴洪良)

I am an associate professor at the Nanjing University of Aeronautics and Astronautics. Previously, I worked at ByteDance and Tencent Jarvis Lab (2021-2023). I received my PhD degree in CS from the Hong Kong University of Science and Technology in 2021 under the advising of Prof. Yangqiu Song. I obtained my Master's degree from Zhejiang University, and Bachelor's degree from Harbin Institute of Technology.

My research focuses on Information Extraction, weak or limited supervision in NLP, PLMs, LLMs.



Google Scholar


Selected Publications

  • From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained
    Hongliang Dai and Ziqian Zeng. ACL, 2023.   [PDF] [Code]
  • Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model
    Hongliang Dai, Yangqiu Song, Haixun Wang. ACL, 2021.   [PDF] [Code]
  • Exploiting Semantic Relations for Fine-grained Entity Typing
    Hongliang Dai, Yangqiu Song, Xin Li. AKBC, 2020.   [PDF] [Code]
  • Improving Fine-grained Entity Typing with Entity Linking
    Hongliang Dai, Donghong Du, Xin Li, Yangqiu Song. EMNLP, 2019.   [PDF] [Code]
  • Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision
    Hongliang Dai and Yangqiu Song. ACL, 2019.   [PDF] [Code]
  • Entity Linking within a Social Media Platform: A Case Study on Yelp
    Hongliang Dai, Yangqiu Song, Liwei Qiu, and Rijia Liu. EMNLP, 2018.   [PDF] [Code]
  • Entity Mention Aware Document Representation
    Hongliang Dai, Siliang Tang, Fei Wu, and Yueting Zhuang. Information Sciences, 2018. [Code]
  • A Chinese Corpus for Fine-grained Entity Typing
    Chin Lee, Hongliang Dai, Yangqiu Song, Xin Li. LREC, 2020. [Code]
  • ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference
    Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen. AAAI, 2024.
  • Multi-Source Multi-Type Knowledge Exploration and Exploitation for Dialogue Generation
    Xuanfan Ni, Hongliang Dai, Zhaochun Ren, and Piji Li. EMNLP, 2023.

南京航空航天大学特聘副研究员、副教授,硕导。此前曾就职于字节跳动和腾讯天衍实验室(2021-2023)。2021年在香港科技大学获博士学位,导师是 Prof. Yangqiu Song。分别在浙江大学和哈尔滨工业大学获硕士和学士学位。主持国家自然科学基金青年基金项目。

研究方向:信息抽取、NLP中的小样本学习和弱监督训练、预训练模型、大模型。



Google Scholar


部分论文

  • From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained
    Hongliang Dai and Ziqian Zeng. ACL, 2023.   [PDF]
  • Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model
    Hongliang Dai, Yangqiu Song, Haixun Wang. ACL, 2021.   [PDF]
  • Exploiting Semantic Relations for Fine-grained Entity Typing
    Hongliang Dai, Yangqiu Song, Xin Li. AKBC, 2020.   [PDF] [Code]
  • Improving Fine-grained Entity Typing with Entity Linking
    Hongliang Dai, Donghong Du, Xin Li, Yangqiu Song. EMNLP, 2019.   [PDF] [Code]
  • Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision
    Hongliang Dai and Yangqiu Song. ACL, 2019.   [PDF] [Code]
  • Entity Linking within a Social Media Platform: A Case Study on Yelp
    Hongliang Dai, Yangqiu Song, Liwei Qiu, and Rijia Liu. EMNLP, 2018.   [PDF] [Code]
  • Entity Mention Aware Document Representation
    Hongliang Dai, Siliang Tang, Fei Wu, and Yueting Zhuang. Information Sciences, 2018. [Code]
  • A Chinese Corpus for Fine-grained Entity Typing
    Chin Lee, Hongliang Dai, Yangqiu Song, Xin Li. LREC, 2020. [Code]
  • ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference
    Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen. AAAI, 2024.
  • Multi-Source Multi-Type Knowledge Exploration and Exploitation for Dialogue Generation
    Xuanfan Ni, Hongliang Dai, Zhaochun Ren, and Piji Li. EMNLP, 2023.