About Me

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I’m Jieyu (Jerry) Li, an RA at NYU Shanghai. My works mainly consist of two parts. One line of my research is about human planning, which is cooperating with Prof. Wei Ji Ma at NYU. We aim to develop a computational model to figure out how human plan in complex circumstances. Another line of my research is about attention, which is supervised by Prof. Xing Tian at NYU Shanghai. We aim to answer the question: What Is the Representation of Visual Attention?

My research interests focus on how the brain represents and acquires knowledge with high efficiency and adaptability. I’d like to find answers from two aspects:

  • The general framework behind complex problem solving, e.g., causal reasoning.
  • Computation underlying specific cognitive processes, e.g., the Bayesian model for sensory integration.

Before NYU Shanghai, I obtained my master’s and bachelor’s degrees at Shanghai Jiao Tong University majoring in Computer Science. I spent 5 years researching AI and natural language processing (NLP) under the supervision of Prof. Kai Yu and Prof. Lu Chen before I graduated from there. I realized that only studying how AI works is sufficient to understand how the human brain works even though sometimes they behave similarly. That’s the main reason I switch to cognitive science.

Methods

Computational Model

Computational Model

I prefer building computational models using mathematical concepts (e.g., bayesian theory, causality, information entropy, and stochastic process) to explain human cognition.

Human-AI Comparison

Artificial Neural Network

I also like to compare the difference between human and ANNs, aiming to figure out the specific features of human cognition that drive us, the most sophisticated intelligent agents in the world, in a much more efficient way than AI.

Behavior Experiments

Behavior Experiments

Behavior experiments are always the basic of exploring human cognition. I love to develop and evaluate theories with both online and in-person experiments

Neuroimaging

Neuroimaging

I believe that the evidence provided by neural activity recording is noisy but necessary. Therefore, I also want to use neural recordings (e.g., fMRI, EEG, StereoEEG) to evaluate my theories.

Resume

Education

Sep 2020 - Mar 2023

M.E. in Computer Science

Shanghai Jiao Tong University

Focus on my research on natural language processing and also lead two projects cooperating with companies

Sep 2016 - Jul 2020

B.E. in Computer Science

Shanghai Jiao Tong University

Take part in several CS and mathematical courses. Spend half of my undergraduate time on the research of AI and dialogue system

Research Experience

Mar 2024 - Current

Weiji Ma's Lab

New York University

Develop a solver to benefit the human planning studies using 4-in-a-row paradigms

Apr 2023 - Current

SLANG (PI: Prof. Xing Tian)

New York University Shanghai

Model object-based attention with eye-tracking and behavior experiments. Analyze neural activities in auditory and somatosensory cortex collected by EEG and StereoEEG

May 2018 - Apr 2023

SpeechLab (PI: Prof. Kai Yu)

Shanghai Jiao Tong University

Develop AI algorithms mainly focus on building natural-language-based human-machine interactive system

Coding Skills

Python

C++

JavaScript

HTML

SQL

Julia

Matlab

Experiment Skills

Machine Learning

Reinforcement Learning

Bayesian Model

Eye Tracking

EEG

StereoEEG

Projects

Publications