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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 center on Trustworthy and Human-Centric AI. I aim to develop intelligent systems that are reliable, robust, effective, and efficient while enabling meaningful collaboration with humans. My current research focuses on:

  • Reliable LLM Agents, including Agent Safety Guardrails, Self-Evolving Agents, Agent Memory, and Human-Agent Collaboration.
  • Robust Machine Learning, including Distributionally Robust Optimization, Optimal Transport Theory, and Uncertainty-Aware Representation Learning.
  • Effective and Efficient Information Retrieval Systems, including Recommender Systems, Model Quantization, and Learning to Hash.

I am also interested in:

  • General Representation Learning, including Self-supervised Learning, Semi-supervised Learning.
  • Large-scale Graph Data Mining, such as Graph Neural Networks, Knowledge Graph, Graph-text Fusion.

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

Recent Research Highlight