CV

Academic CV generated from resume.pdf.

Contact Information

Name Tianqiu Zhang
Professional Title Ph.D. Student in Integrated Life Sciences
Email tianqiuakita@stu.pku.edu.cn
Location Beijing,
Website https://ztqakita.github.io

Professional Summary

Ph.D. student at Peking University advised by Prof. Si Wu, working on latent world models, self-supervised reinforcement learning, and computational neuroscience.

Research Interests

  • Latent world models: brain-inspired world models, latent action models, structure learning.
  • Self-supervised reinforcement learning: goal-conditioned RL, skill learning, zero-shot generalization.
  • Computational neuroscience: connectome-constrained model simulation and training.

Education

  • 2022 - 2027

    Beijing, China

    Ph.D.
    Peking University
    Integrated Life Sciences (Physics)
    • Advised by Prof. Si Wu.
  • 2018 - 2022

    Beijing, China

    B.Eng.
    Beijing University of Posts and Telecommunications
    Computer Science and Technology
    • GPA: 3.86/4.00; rank: 3/379.

Publications

  • 2026
    DiLA: Disentangled Latent Action World Models
    ICML

    Equal contribution by Tianqiu Zhang and Muyang Lyu.

  • 2026
    Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model
    ICML

    Equal contribution by Tianqiu Zhang and Muyang Lyu.

  • 2024
    A differentiable brain simulator bridging brain simulation and brain-inspired computing
    ICLR

    Equal contribution by Chaoming Wang and Tianqiu Zhang.

  • 2024
    A Differentiable Approach to Multi-scale Brain Modeling
    ICML Workshop on Differentiable Almost Everything
  • 2023
    BrainPy: a flexible, integrative, efficient, and extensible framework for general-purpose brain dynamics programming
    eLife
  • 2023
    Visual information processing through the interplay between fine and coarse signal pathways
    Neural Networks

Projects

  • BrainPy

    A highly flexible and extensible framework targeting general-purpose brain dynamics programming.

    • Contributed to the BrainPy ecosystem and related publications.

Academic Services

  • Conference reviewer for NeurIPS, ICLR, and ICML.

Books

  • Neural Modeling in Action: based on BrainPy. Chaoming Wang, Xiaoyu Chen, Tianqiu Zhang, Si Wu (2023).

Honors and Awards

  • 2024
    Presidential Scholarship
    Peking University
  • 2023
    Ubiquant Scholarship
    Peking University
  • 2021
    FiberHome Scholarship
    Beijing University of Posts and Telecommunications
  • 2020
    National Scholarship
    Ministry of Education

Highlighted Conferences and Summer Schools

  • NeuroFrontiers: Bridging Molecules, Minds, and AI Systems Symposium, Singapore, 2025. Poster presenter.
  • The 6th Chinese Computational and Cognitive Neuroscience Conference, Hong Kong, China, 2024. Best poster award for ‘Elucidating Sensorimotor Mechanisms through Connectome-based Whole-brain Spiking Neural Network Modeling in Zebrafish’.
  • The 16th, 17th, and 18th Annual Meeting of Chinese Neuroscience Society, China, 2023, 2024, 2025. Poster presenter.
  • The Computational and Cognitive Neuroscience (CCN) Summer School, Cold Spring Harbor Asia, 2023. Selected participant.
  • The Annual Meeting of Center of Quantitative Biology, Beijing, China, 2023. Invited speaker.

Teaching

  • Organizer and Instructor, The 1st-4th Online Training Course on Neural Modeling and Programming, PKU NIP Lab, 2023-2025.
  • Teaching Assistant, AI for Psychology, School of Psychological and Cognitive Sciences, Peking University, Feb 2024-Jun 2024.
  • Invited Instructor, Cognition and Intelligence, Department of Psychological and Cognitive Sciences, Tsinghua University, Mar 2024.
  • Teaching Assistant, Foundations of Neural Modeling, School of Psychological and Cognitive Sciences, Peking University, Sep 2023-Jan 2024.
  • Teaching Assistant, Artificial and Brain-inspired Intelligence Basics, Yuanpei College, Peking University, Feb 2023-Jun 2023.
  • Teaching Assistant, Computational Neuroscience, School of Electronics Engineering and Computer Science, Peking University, Sep 2022-Jan 2023.

Skills

Research (Focus): Brain-inspired world models, Latent action models, Structure learning, Goal-conditioned reinforcement learning, Connectome-constrained modeling

Languages

Chinese : Native
English : Professional working proficiency