Huahang is currently a Ph.D student at PolyU, Hong Kong SAR. His research insterests boardly include: Data Preparation, Data-centric AI, Generative AI, Machine Learning, and so on.

Enjoy the simple happiness to do research, nothing more.




Publications:

Under review

  • Huahang Li, Longyu Feng, Shuangyin Li, Chen Jason Zhang, Fei Hao, Yuanfeng Song, Lei Chen, "On Leveraging Large Language Models for Enhancing Entity Resolution".
  • Huahang Li, Shuangyin Li, Chen Jason Zhang, Yuncheng Jiang, Lei Chen, "PatentCL: Contrastive Learning for Enhanced Patent Representation-An Efficient and Effective Framework".

    2024

  • Huahang Li, Shuangyin Li, Fei Hao, Chen Jason Zhang, Yuanfeng Song, Lei Chen, "BoostER: Leveraging Large Language Models for Enhancing Entity Resolution", the ACM Web Conference, 2024. (Demo track) (PDF)( BibTex).

    2022

  • Huahang Li, Shuangyin Li, Yuncheng Jiang, Gansen Zhao, "CoPatE: A Novel Contrastive Learning Framework for Patent Embeddings", 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022. (CCF B) (PDF)( BibTex).