Prof. Jian-Qiao ZHU

EDUCATION

• Ph.D. in Psychology, University of Warwick, 2019
• M.Sc. in Behavioral Economics, University of Warwick, 2015
• B.A. in Economics, University of Nottingham, 2014

RESEARCH INTERESTS

• Bayesian Models of Cognition
• Deep Learning
• Large Language Models
• Probabilistic Machine Learning
• Judgment and Decision Making
• Large-scale Automated Behavioral Experiments

RECENT PUBLICATIONS

Please see my Google Scholar page for the most recent and complete list of publications.

Zhu, J. Q., Peterson, J. C., Enke, B., & Griffiths, T. L. (2025). Capturing the Complexity of Human Strategic Decision-Making with Machine Learning. Nature Human Behaviour.

Zhu, J. Q., & Griffiths, T. L. (2025). Computation-Limited Bayesian Updating: A Resource-Rational Analysis of Approximate Bayesian Inference. Psychological Review.

Zhu, J. Q., Yan, H., & Griffiths, T. L. (2025). Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice. International Conference on Learning Representations (ICLR).

Zhu, J. Q. & Griffiths, T. L. (2025). Eliciting Priors of Large Language Models using Iterated In-Context Learning. Proceedings of the 47th Annual Conference of the Cognitive Science Society (CogSci).

Elga, A., Zhu, J. Q., & Griffiths, T. L. (2025). People Make Suboptimal Decisions about Existential Risks. Cognition.

Spicer, J., Zhu, J. Q., Chater, N., & Sanborn, A. N. (2024). How do people predict a random walk? Lessons for models of cognition. Psychological Review, 131(5), 1069-1113.

Zhu, J. Q., & Griffiths, T. L. (2024). Incoherent Probability Judgments in Large Language Models. Proceedings of the 46th Annual Conference of the Cognitive Science Society (CogSci).

Zhu, J. Q., Yan, H., & Griffiths, T. L. (2024). Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo. Proceedings of the 46th Annual Conference of the Cognitive Science Society (CogSci).

Griffiths, T. L., Zhu, J. Q., Grant, E., & McCoy, R. T. (2024). Bayes in the Age of Intelligent Machines. Current Directions in Psychological Science.

Zhu, J. Q., Sundh, J., Spicer, J., Chater, N., & Sanborn, A. N. (2023). The Autocorrelated Bayesian Sampler: A Rational Process for Probability Judgments, Estimates, Confidence Intervals, Choices, Confidence Judgments, and Response Times. Psychological Review, 131(2), 456-493.

Zhu, J. Q., Sanborn, A. N., & Chater, N. (2020). The Bayesian Sampler: Generic Bayesian Inference Causes Incoherence in Human Probability Judgments. Psychological Review, 127(5), 719-748.

Zhu, J. Q., Sanborn, A. N., & Chater, N. (2018). Mental Sampling in Multimodal Representations. Advances in Neural Information Processing Systems (NeurIPS).

RESEARCH LABORATORY

Machine-Augmented Cognition Laboratory (MAC lab)

RESEARCH INTERNSHIP OPPORTUNITIES

I am actively seeking students at all ranks (undergraduate, master’s, and PhD) who have strong interests in bridging Artificial Intelligence and Cognitive Science. Our goal is to develop novel theories and tools that can predict, explain, and ultimately shape the behavior of both humans and AI systems. If you are interested, please reach out via email at zhujq@hku.hk