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Yankai Chen

陈焱凯

I am a postdoctoral researcher working with Prof. Philip S. Yu at UIC. I was a postdoctoral associate at Cornell University, adviced by Prof. Chang Su and Prof. Yunyu Xiao. 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 interest is Artificial Intelligence for Information Retrieval and Adaptation with Personalization and Trustworthiness, including the recent following topics:

    • LLM personalization problems, e.g., LLM personalization, parameter efficient fine-tuning.
    • AI for scientific problems, e.g., molecular representation learning, drug target affinity prediction.
    • AI for health data science, e.g., multimodal EHR data mining & predictive models.
    • Foundation model adaptation problems, e.g., multimodal alignment, multitask generalization.

    I used to work on problems including:

    • Large-scale graph data mining and learning problems, e.g., community retrieval, graph neural networks, self-supervised graph learning.
    • Information retrieval optimization problems, e.g., knowledge graph, low-bit quantization, learning to hash.
    • Information retrieval applications, e.g., Search and recommender systems.

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

Recent Research Highlight