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Yankai Chen

陈焱凯

I am currently a postdoctoral researcher supervised by Prof. Xue (Steve) Liu. Previously, I was a postdoctoral associate at Cornell University and The Chinese University of Hong Kong. I received my Ph.D. degree in Computer Science and Engineering from The Chinese University of Hong Kong in 2023, supervised by 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 interests lie at the intersection of Human-centered AI and Knowledge Mining. I am dedicated to building intelligent systems that can deeply understand massive-scale data and collaborate with humans effectively, efficiently, and trustworthily. My recent research focuses on:

  • Agentic AI, including Agent Memory, Deep Research, and Human-Agent Collaboration.
  • LLM Personalization, Retrieval-Augmented Generation.

I also work on topics including:

  • Optimal Transport theory and Optimization.
  • Representation Learning, including Self-supervised Learning, Semi-supervised Learning.
  • Large-scale Graph Data Mining, such as Graph Neural Networks, Knowledge Graph, Graph-text Fusion.
  • Information Retrieval and Efficiency Optimization, including Dense Retrieval and Low-bit Quantization, with applications in Search and Recommender Systems

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

Recent Research Highlight