Scholar
Tielin Zhang
Google Scholar ID: 87bZY8YAAAAJ
Chinese Academy of Sciences
Citations & Impact
Citations
1,153
H-index
21
i10-index
35
Publications
20
Co-authors
32
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published over 40 high-impact papers in journals such as Science Advances, IEEE TNNLS, IEEE TCYB, iScience, Neural Networks, and conferences including AAAI, IJCAI, ICASSP
- Holds more than 10 patents
- Proposed self-organizing plasticity propagation model (Science Advances, 2021)
- Developed neuromodulated brain-inspired continual learning method (Science Advances, 2023)
- Introduced dopamine reward-based efficient SNN learning (IEEE TNNLS, 2021)
- Designed multi-scale plasticity-based SNN architecture enabling non-backpropagation optimization (AAAI/IJCAI, 2018)
- Applied SNN algorithms to NLP (AAAI 2022), continuous action control (AAAI 2023), and reinforcement learning (IEEE TCYB)
- Developed dedicated brain-inspired chips for invasive BCIs
- Principal Investigator of multiple national projects: Ministry of Science and Technology’s Innovation 2030 - New Generation AI Flagship and Key Projects, CAS Strategic Priority Research Program (Class A), Shanghai BCI Key Special Project
- Led NSFC, Central Military Commission S&T Commission, Innovation Zone, and CAS Youth Innovation Promotion Association projects
- Key participant in Beijing Municipal Science & Technology Commission Brain-inspired Special Project and CAS Strategic Priority Program (Class B)
- Awards/Honors: Beijing Municipal Science & Technology Nova, CAS Youth Innovation Promotion Association Member, CAS Distinguished Research Fellow
Research Experience
- 2019.10–Present: Associate Professor, Institute of Automation, Chinese Academy of Sciences
- 2016.07–2019.10: Assistant Professor, Institute of Automation, Chinese Academy of Sciences
- Leads a research group focused on brain-inspired intelligence
- Contributed to large-scale whole-brain SNN simulation of mouse brain (71 million neurons, 213 brain regions)
- Completed neuron reconstruction and classification from Golgi-stained rat brain optical sections (2.5 million neuron morphologies)
- Led SNN algorithm development for high-throughput BCI in Shanghai Municipal Major Project
- Participated in brain-inspired software development for novel SNN chip systems
- Collaborates extensively with teams at Shanghai Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Lingang Laboratory (e.g., groups of Mu-Ming Poo, Chengyu Li, Yong Gu, Ninglong Xu, Jiulin Du, Yu Mu, Zhengtuo Zhao)
Miscellany
- Editorial Board Member, Artificial Intelligence Advances (2022–present)
- Committee Member, Cloud Control and Decision-making, CICC (2022–2026)
- Former Deputy Secretary-General, Cognition and Behavior Committee, CICC (2016–2020)
- Teaches courses: 'Systems and Computational Neuroscience: Brain-inspired Models, Architectures and Robotics Applications' and 'Introduction to Brain-inspired Intelligence: Artificial Neurons and Shallow Networks'
- Actively recruiting research assistants, postdocs, engineers, and interns for on-site work in Beijing or Shanghai
