Hi, this is Canyu Chen (陈灿宇), a third-year Computer Science Ph.D. student at Illinois Institute of Technology (IIT) since Fall 2021, advised by Prof. Kai Shu. Before joining IIT, I received my B.S. in Computer Science from the University of Chinese Academy of Sciences (UCAS) in 2020.

I currently focus on Safe and Responsible Large Language Models with the applications in Social Computing and Healthcare. I start and lead an initiative LLMs Meet Misinformation aiming to combat misinformation in the age of LLMs. I am always happy to chat and discuss potential collaborations (my email: cchen151 AT hawk.iit.edu, WeChat ID: alexccychen).




  • Combating Misinformation in the Age of LLMs: Opportunities and Challenges
    Canyu Chen, Kai Shu.
    arXiv preprint. Oct. 2023.
    [arXiv] [project website] [paper list]

  • Can LLM-Generated Misinformation Be Detected?
    Canyu Chen, Kai Shu.
    arXiv preprint. Sept. 2023.
    Included in the curriculum at: : [CUNY].
    [arXiv] [project website] [dataset and code]

  • PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners.
    Canyu Chen, Kai Shu.
    Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics ( EACL 2023 , Main Conference Long Paper)
    Advances in Neural Information Processing Systems workshop on Efficient Natural Language and Speech Processing ( ENLSP@NeurIPS 2022 , Oral (spotlight) ).
    [code] [arXiv] [youtube] [bilibili] [slides] [poster]

  • Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach.
    Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu.
    Frontiers in Big Data 2023 .
    [paper] [arXiv]

  • Attacking Fake News Detectors via Manipulating News Social Engagement.
    Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu.
    Proceedings of 32nd The ACM Web Conference ( WWW 2023 ).
    Media Coverage : [Montreal AI Ethics Institute].
    [code] [arXiv]

  • MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection.
    Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu.
    arXiv preprint. May. 2023.

  • PyGOD: A Python Library for Graph Outlier Detection.
    Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, George H. Chen, Zhihao Jia, Philip S. Yu.
    Journal of Machine Learning Research ( JMLR 2023 ).
    [code] [arXiv]



  • [04/18/2023] Fairness in AI: An Introduction at UIC [Slides]