CV
Academic CV generated from resume.pdf.
Contact Information
| Name | Tianqiu Zhang |
| Professional Title | Ph.D. Student in Integrated Life Sciences |
| 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
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2022 - 2027 Beijing, China
Ph.D.
Peking University
Integrated Life Sciences (Physics)
- Advised by Prof. Si Wu.
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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
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2026 DiLA: Disentangled Latent Action World Models
ICML
Equal contribution by Tianqiu Zhang and Muyang Lyu.
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2026 Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model
ICML
Equal contribution by Tianqiu Zhang and Muyang Lyu.
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2024 A differentiable brain simulator bridging brain simulation and brain-inspired computing
ICLR
Equal contribution by Chaoming Wang and Tianqiu Zhang.
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2024 A Differentiable Approach to Multi-scale Brain Modeling
ICML Workshop on Differentiable Almost Everything
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2023 BrainPy: a flexible, integrative, efficient, and extensible framework for general-purpose brain dynamics programming
eLife
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2023 Visual information processing through the interplay between fine and coarse signal pathways
Neural Networks
Projects
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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
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2024 Presidential Scholarship
Peking University
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2023 Ubiquant Scholarship
Peking University
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2021 FiberHome Scholarship
Beijing University of Posts and Telecommunications
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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