About Me

I am a fifth-year Ph.D. student advised by Prof. Ming Yin in Computer Science at Purdue University. Before joining Purdue from 2021, I received my B.S. degree in Electronic Engineering from Wuhan University.

My research interests include human-AI interaction, human-centered AI, and human-centered NLP.

Publications

  1. ICLR
    Human-LLM Collaborative Feature Engineering for Tabular Data
    Zhuoyan Li, Aditya Bansal, Jinzhao Li, Shishuang He, Zhuoran Lu, Mutian Zhang, Qin Liu, Yiwei Yang, Swati Jain, Ming Yin, Yunyao Li
    The Fourteenth International Conference on Learning Representations (ICLR 26), Rio de Janeiro, Brazil, April 23-27, 2026.
  2. NAACL
    Exploring the Cost-Effectiveness of Perspective Taking in Crowdsourcing Subjective Assessment: A Case Study of Toxicity Detection
    Xiaoni Duan, Zhuoyan Li, Chien-Ju Ho, and Ming Yin
    The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 25), Albuquerque, NM, April 29 - May 4, 2025.
  3. CHI
    From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis
    Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, Ziang Xiao, Ming Yin
    The 43rd ACM Conference on Human Factors in Computing Systems (CHI 25), Yokohama, Japan, April 26 - May 1, 2025.
  4. NeurIPS
    Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Ugly
    Zhuoyan Li, Ming Yin
    The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 24), Vancouver, Canada, December 2024.
  5. EMNLP
    How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?
    Zhuoyan Li, Chen Liang, Jing Peng, Ming Yin
    The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 24), Miami, Florida, November 2024.
  6. HCOMP
    Mix and Match: Characterizing Heterogeneous Human Behavior in AI-assisted Decision Making
    Zhuoran Lu, Syed Hasan Amin Mahmood, Zhuoyan Li, and Ming Yin
    The 12th AAAI Conference on Human Computing and Crowdsourcing (HCOMP 24), Pittsburgh, PA, October 2024.
  7. CHI
    The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writing
    Zhuoyan Li, Chen Liang, Jing Peng, Ming Yin
    The 42st ACM Conference on Human Factors in Computing Systems (CHI 24), Honolulu, Hawaii, May 2024.
    Best Paper Honorable Mention
  8. IUI
    Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate.
    Chun-Wei Chiang, Zhuoran Lu, Zhuoyan Li, Ming Yin
    The 29st ACM Conference on Intelligent User Interfaces (IUI 24), Greenville, South Carlinoa, USA, March 2024.
  9. AAAI
    Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-assisted Decision Making
    Zhuoyan Li, Zhuoran Lu, Ming Yin
    The 38th AAAI Conference on Aritificial Intelligence (AAAI 24), Vancouver, Canada, February 2024.
  10. EMNLP
    Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations
    Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, Ming Yin
    The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 23), Singapore, December 2023.
  11. IJCAI
    Strategic Adversarial Attacks in AI-assisted Decision Making to Reduce Human Trust and Reliance
    Zhuoyan Li*, Zhuoran Lu*, Chun-Wei Chiang, Ming Yin
    The 32nd International Joint Conference on Artificial Intelligence (IJCAI 23), Macao, China, August 2023.
  12. CHI
    Are Two Heads Better Than One in AI-Assisted Decision Making? Comparing the Behavior and Performance of Groups and Individuals in Human-AI Collaborative Recidivism Risk Assessment
    Chun-Wei Chiang, Zhuoran Lu, Zhuoyan Li, Ming Yin
    The 41st ACM Conference on Human Factors in Computing Systems (CHI 23), Hamburg, Germany, April 2023.
  13. AAAI
    Modeling Human Trust and Reliance in AI-assisted Decision Making: A Markovian Approach
    Zhuoyan Li, Zhuoran Lu, Ming Yin
    The 37th AAAI Conference on Aritificial Intelligence (AAAI 23), Washington, DC, February 2023.
    Oral Presentation
  14. AIES
    Towards Better Detection of Biased Language with Scarce, Noisy, and Biased Annotations
    Zhuoyan Li, Zhuoran Lu, Ming Yin
    The 5th AAAI/ACM Conference on AI, Ethics, and Soceity (AIES 22), Oxford, UK, August 2022.

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