CV

Education

Ph.D. Student, Cognition & Brain Science, Georgia Institute of Technology, 2024–Present Advisor: Dr. Robert C. Wilson
Ph.D. Student, Cognitive and Neural System Program, University of Arizona, 2022–2024 Advisor: Dr. Robert C. Wilson Ph.D. Minor in Computer Science
Analytical Connectionism 2024, New York, July 2024
Computational and Cognitive Neuroscience Summer School, Cold Spring Harbor Asia, 2021 Project: Transfer of task rules in artificial neural networks
M.Ed. in General Psychology, Capital Normal University, 2018–2021 Thesis: Stability of working memory in attended and unattended states Advisor: Dr. Chunyan Guo
Computational Neuroscience Summer School, Neuromatch Academy, 2020 Project: Emergence of human-like representations in goal-directed artificial neural networks
MITx MicroMasters Program in Statistics and Data Science, edX, 2019
B.S. in Applied Psychology, Shanghai Normal University

Xiong, H.D., Ji-An, L., Mattar, M., & Wilson, R.C. (2025). Human Strategy Adaptation in Reinforcement Learning Resembles Policy Gradient Ascent. bioRxiv
Xiong, H.D., Ji-An, L., Mattar, M., & Wilson, R.C. (2025). Deep Learning Improves Parameter Estimation in Reinforcement Learning Models. bioRxiv
Binz, M., Akata, E., Bethge, M., Xiong, H.D., Schulz, E. (2025). A foundation model to predict and capture human cognition. Nature

Ji-An, L., Xiong, H.D., Wilson, R.C., Mattar, M., & Benna, M. (2025). Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations. arXiv
Xiong, H.D., Ji-An, L., Mattar, M., & Wilson, R.C. (2025). DynamicRL: Extending Reinforcement Learning Models to Capture Trial-by-Trial Parameter Changes. CogSci 2025
Xiong, H.D., Ji-An, L., Mattar, M., & Wilson, R.C. (2025). Humans Learn to Weight Evidence Unevenly Over Time. CogSci 2025
Xie, H., Xiong, H.D., & Wilson, R.C. (2023). From Strategic Narratives to Code-Like Cognitive Models: An LLM-Based Approach in A Sorting Task. COLM 2024
Xiong, H.D., Ji-An, L., Mattar, M., & Wilson, R.C. (2024). Characterizing attractor geometry in human decision making via low-dimensional RNNs. CCN 2024
Xiong, H.D., Ji-An, L., Mattar, M., & Wilson, R.C. (2023). Distilling human decision-making dynamics. NeurIPS 2023 AI for Science
Xie, H., Xiong, H.D., & Wilson, R.C. (2023). Text2Decision: Decoding Latent Variables in Risky Decision Making from Think Aloud Text. NeurIPS 2023 AI for Science
Xiong, H.D., Ji-An, L., Mattar, M., & Wilson, R.C. (2023). Neural network modeling reveals diverse human exploration behaviors. CCN 2023. Oral (~5%)
Xiong, H.D., & Wei, X.X. (2022). Optimal encoding of prior information in noisy working memory systems. CCN 2022

Programming Languages: Python (Pytorch, mne, Gym), Shell, Julia, Stan, LaTeX, JavaScript (WebPPL, jsPsych), MATLAB, R
Computational Modeling: Bayesian cognitive models, drift-diffusion models, reinforcement learning, spiking neural networks, artificial neural networks
Deep Learning: Transformers, deep RL, Slurm, Kubernetes, LLMs
Neural Signal Processing: MVPA, decoding models, encoding models
Experimental Skills: Designing and coding (online) experiments, behavioral and EEG data collection

Conference Travel Fund, University of Arizona, 2022.
Laboratory Open Fund, Capital Normal University, 2018 ~ 2019.
- Project: How distractors influence the different states of working memory?
National College Students’ Innovation Training Program, Shanghai Normal University, 2013 ~ 2014.
- Project: Opinions’ polarization in condition of similar or different cultural value orientations.