I received my Ph.D. degree in Computer Science and Engineering from The Chinese University of Hong Kong in 2023, supervised by Professor Prof. Irwin King. Prior to that, I completed my M.S. degree at The University of Hong Kong in 2018, working with Prof. Reynold Cheng, and received my B.S. degree from Nanjing University in 2016, mentored by Prof. Qizhi Liu.

My research interest is machine learning for Information Retrieval, Processing, Generation, and Protection. My recent topics include but are not limited to:

  • Graph data mining and learning problems, e.g., Graph-empowered LLMs, GNNs, self-supervised graph learning.
  • AI for biological and scientific problems, e.g., retrosynthesis prediction, protein representation learning.
  • Data generation problems, e.g., generative models, watermarking techniques.
  • Optimization over IR models, e.g., knowledge graph supplementary, quantization.
  • AI4DB problems, e.g., ANN search and optimization for vector database, motif prediction.

Feel free to contact me if you are seeking any form of collaboration.

News and Annoucements

  • [December, 2023] Three papers have been accepted by AAAI-2024 on December 9, 2023.

Recent Research Highlight

Contact

  • Email: yankaichan3@gmail.com; ykchen@cse.cuhk.edu.hk