Tielin Zhang is a PI in the Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation Chinese Academy of Sciences. He is also an associate professor at the School of Artificial Intelligence, University of Chinese Academy of Sciences. His research interest focus on the spiking neural networks (SNNs), brain-inspired new chips, and some DVS-based and BCI-based intelligent applications. 

Zhang's lab combines biology and computational science deeply, including but not limited to multi-scale plasticity, working memory, decision-making, and multi-sensory integration. Zhang has proposed some new SNN architectures and learning algorithms that have remarkedly promoted the performance of SNNs. For example, the self-backpropagation of synaptic plasticity has been proposed to elevate computational efficiency in both artificial neural networks (ANNs) and SNNs (Science Advances, SCI-Q1, IF 14.1). The dopamine-like reward propagation algorithm has been proposed for efficient SNN learning (IEEE TNNLS, SCI-Q1, IF 10.4). A multi-brain-region system has been designed by incorporating brain-like topology for efficient continuous controlling (IEEE TNNLS). A multi-scale plasticity algorithm (AAAI, top AI conference) and an energy-based Nash equilibrium algorithm have been proposed for SNN learning (IJCAI, top AI conference). Zhang's lab has publised 40 key research papers, including some top AI journals such as Science Advances, IEEE Transactions on Neural Networks, IEEE Transactions on Cybernetics, Cell iScience, Cognitive Computation, Frontiers in Neuroscience, and also some top AI conference such as AAAI, IJCAI, and ICASSP. He has also published 10 around patents related to SNN algorithms and applications. Research funding in Zhang's lab includes the National Key Research and Development Program of China (No. 2020AAA0104305, 6 Million RMB), the Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDA27010000 and No. XDB32070000, 10 Million RMB), the Shanghai Municipal Science and Technology Major project (1.6 Million RMB), and the Youth Innovation Promotion Association CAS (0.8 Million RMB).

Anyone who wants to be an internship student, research assistant, or postdoc can mail Tielin Zhang directly.

2013-09--2016-07   Institute of Automation Chinese Academy of Sciences Ph.D.
2010-09--2013-07   Beijing Unijversity of Technology  M.D
2006-09--2010-07   Beijing University of Technology  B.D.

   

2019-10~Now, Institute of Automation, Chinese Academy of Sciences, Associate Professor.

2016-07~2019-10, Institute of Automation, Chinese Academy of Sciences, Assistant Professor

• Highlights:

• [1] Tielin Zhang, Xiang Cheng, Shuncheng Jia, Mu-ming Poo, Yi Zeng, Bo Xu*. Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks. Science Advances (SCI-Q1, IF 14.1), doi: 10.1126/sciadv.abh0146, Oct 20, 2021. [Recommended]

• [2] Tielin Zhang*, Xiang Cheng, Shuncheng Jia, Chengyu T. Li, Mu-ming Poo, Bo Xu*. A brain-inspired algorithm that mitigates catastrophic forgetting of artificial and spiking neural networks with low computational cost. Science Advances (SCI-Q1, IF 14.1), 10.1126/sciadv.adi2947, 2023. [Recommended]

• [3] Tielin Zhang*, Shuncheng Jia, Xiang Cheng, and Bo Xu*. Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward Propagation. IEEE Transactions on Neural Networks and Learning Systems (SCI-Q1, IF 10.4), doi: 10.1109/TNNLS.2021.3085966, June 14, 2021, 1-11. [Recommended]

• [4] Tielin Zhang*, Qingyu Wang, and Bo Xu*. Self-Lateral Propagation Elevates Synaptic Modifications in Spiking Neural Networks for the Efficient Spatial and Temporal Classification. IEEE Transactions on Neural Networks and Learning Systems (SCI-Q1, IF 10.4), 10.1109/TNNLS.2023.3286458, 2023.

• [5] Qinglai Wei, Liyuan Han, Tielin Zhang*. Learning and Controlling Multi-scale Dynamics in Spiking Neural Networks using Recursive Least Square Modifications. IEEE Transactions on Cybernetics (SCI-Q1, IF 11.4), 2023.

• [6] Tielin Zhang, Yi Zeng, Ruihan Pan, Mengting Shi, Enmeng Lu. Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction. Cognitive Computation (SCI-Q1, IF 5.4), July 3, 2020.

• [7] Tielin Zhang, Yang Yang, Yi Zeng, Yuxuan Zhao. Cognitive Template-clustering Improved LineMod for Efficient Multi-object Pose Estimation. Cognitive Computation (SCI-Q1, IF 5.4), 2020.

• [8] Tielin Zhang*, Yi Zeng*, Yue Zhang, Xinhe Zhang, Mengting Shi, Likai Tang, Duzhen Zhang and Bo Xu. Neuron type classification in rat brain based on integrative convolutional and tree-based recurrent neural networks. Scientific Reports (SCI-Q1, IF 4.3), 11, 7291, Mar 31, 2021. [Recommended]

• [9] Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi. A Plasticity-centric Approach to Train the Non-differential Spiking Neural Networks, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018, CCF-A), February 2-7, 2018, New Orleans, Louisiana, USA. [Recommended]

• [10] Tielin Zhang, and Bo Xu*. 脉冲神经网络研究现状及展望, Research Advances and Perspectives on Spiking Neural Networks. 计算机学报, Chinese Journal of Computers (中文核心), Vol. 44, No. 9, 1767-1785, Sep 2021. [Recommended]

• [11] 张铁林*, 李澄宇, 王刚, 张马路, 余磊, 徐波. 适合类脑脉冲神经网络的应用任务范式分析与展望, Research Advances and Perspectives of New Paradigms for Biology-inspired Spiking Neural Networks. 电子与信息学报, Journal of Electronics and Information Technology(中文核心), 2023.[Recommended]

• [12] Xuanle Zhao, Duzhen Zhang, Liyuan Han, Tielin Zhang*, and Bo Xu. ODE-based Recurrent Model-free Reinforcement Learning for POMDPs. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) (CCF, A), 2023.

• [13] 张笃振,程翔,王岩松,张新贺,张铁林*,杜久林*,徐波*. 生物结构启发基本网络算子助力类脑智能研究. 人工智能, 2023.[Recommended]

• [14] Qingyu Wang, Tielin Zhang*, Minglun Han, Yi Wang, and Bo Xu. Complex dynamic neurons improved spiking transformer network for efficient automatic speech recognition. Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), Washington, DC, USA, Feb 7-14, 2023.[Recommended]

• [15] Duzhen Zhang#, Tielin Zhang#*, Shuncheng Jia, Bo Xu*. Multiscale Dynamic Coding improved Spiking Actor Networkfor Reinforcement Learning. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022, CCF-A), Feb 22 to Mar 1, 2022, Virtual conference. [Recommended]

• [16] Dengpeng Xing, Jiale Li, Tielin Zhang*, Bo Xu. A Brain-Inspired Approach for Collision-Free Movement Planning in the Small Operational Space. IEEE Transactions on Neural Networks and Learning Systems (SCI-Q1, IF 10.4), doi: 10.1109/TNNLS.2021.3111051, Sep 14, 2021, 1-12

• Others:

• 2023:

• [33] Duzhen Zhang, Tielin Zhang*, Shuncheng Jia, Qingyu Wang, and Bo Xu*. Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network. Machine Intelligence Research, 2023.

• [32] Xiyun Li, Ziyi Ni, Jingqing Ruan, Linghui Meng, Jing Shi, Tielin Zhang*, and Bo Xu*. Mixture of personality improved Spiking actor network for efficient multi-agent cooperation. Frontiers in Neuroscience (SCI-Q2, IF 4.6), 2023.

• [31] Shuncheng Jia, Tielin Zhang*, Ruichen Zuo and Bo Xu*. Motif-topology improved Spiking Neural Network for Explaining Cocktail Party Effect and McGurk Effect. Frontiers in Neuroscience (SCI-Q2, IF 4.6), 2023.

• [30] Zhiwei Jiang, Jiaming Xu, Tielin Zhang, Mu-ming Poo*, Bo Xu*. Origin of the efficiency of spike timing-based neural computation for processing temporal information. Neural Networks (SCI-Q1, IF 8.9), Volume 160, Pages 84-96, March 2023.

• 2022:

• [29] Xiang Cheng, Tielin Zhang*, Shuncheng Jia, and Bo Xu. Meta neurons improve spiking neural networks for efficient spatio-temporal learning. NeuroComputing (SCI-Q2, IF 5.4), 2022.[Recommended]

• [28] Dengpeng Xing, Yiming Yang, Tielin Zhang, and Bo Xu. A Brain-Inspired Approach for Probabilistic Estimation and Efficient Planning in Precision Physical Interaction. IEEE Transactions on Cybernetics (SCI-Q1, IF 11.4), 2022.[Recommended]

• [27] Shuncheng Jia#, Ruichen Zuo#, Tielin Zhang#*, Hongxing Liu, Bo Xu*. Motif-topology and Reward-learning improved Spiking Neural Network for Efficient Multi-sensory Integration. International Conference on Acoustics, Speech, & Signal Processing (ICASSP 2022, CCF-C), May 22 to May 27, 2022, Singapore.[Recommended]

• [26] Xuan Han, Kebin Jia*, Tielin Zhang*. Mouse-Brain Topology improved Evolutionary Neural Network for Efficient Reinforcement Learning. International Conference on Intelligence Science (ICIS 2022), October 28-31, 2022.

• [25] Xiang Cheng, Xuan Han, Yu Song, Tielin Zhang*, Bo Xu*. Artificial Neural Network-assisted Amplitude Thresholding Improves Spike Detection. The 11th International Conference on Computing and Pattern Recognition (ICCPR 2022), 2022.

• 2021:

• [24] Shuncheng Jia#, Tielin Zhang#,*, Xiang Cheng, Hongxing Liu, Bo Xu*. Neuronal-Plasticity and Reward-Propagation Improved Recurrent Spiking Neural Networks. Frontiers in Neuroscience (SCI-Q2, IF 4.6), 15:654786, 2021

• [23] Qinglai Wei*, Liyuan Han, Tielin Zhang. Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems. IEEE Transactions on Neural Networks and Learning Systems (SCI-Q1, IF 10.4), June 18, 2021, 1-11. [Recommended]

• [22] Qinglai Wei*, Liyuan Han, Tielin Zhang. Spiking Adaptive Dynamic Programming with Poisson Process. International Conference on Swarm Intelligence (ICSI 2021, EI), 07 July 2021, 10.1007/978-3-030-78811-7_49.

• [21] Yinqian Sun, Yi Zeng, Tielin Zhang. Quantum Superposition Inspired Spiking Neural Network. iScience (SCI-Q1, IF 5.4), Vol. 24, Iss. 8, 102880, 10.1016/j.isci.2021.102880, Aug 20, 2021.

• [20] Qian Zhang, Yi Zeng, Tielin Zhang, Taoyi Yang. Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation. Frontiers in System Neuroscience, 15:628839, 10.3389/fnsys.2021.628839, Sep 9, 2021.

• 2020:

• [19] Dongcheng Zhao, Yi Zeng, Tielin Zhang, Mengting Shi, Feifei Zhao. GLSNN: A Multi-layer Spiking Neural Network based on Global Feedback Alignment and Local STDP Plasticity. Frontiers in Computational Neuroscience (SCI-Q2, IF 2.3), 14:576841, Nov 12, 2020.

• [18] Yi Zeng, Yuxuan Zhao, Tielin Zhang, Dongcheng Zhao, Feifei Zhao, and Enmeng Lu. A Brain-Inspired Model of Theory of Mind. Frontiers in Neurorobotics (SCI-Q3, IF 2.6), Aug 28, 2020.

• 2019:

• [17] Guoyu Zuo, Tingting Pan, Tielin Zhang. SOAR Improved Artificial Neural Network for Multistep Decision-Making Tasks. Cognitive Computation (SCI-Q1, IF 5.4), 13:612-625, Feb 5, 2020.

• [16] Mengting Shi#, Tielin Zhang#, Yi Zeng. A Curiosity-Based Learning Method for Spiking Neural Networks. Frontiers in Computational Neuroscience (SCI-Q2, IF 2.3), Feb 07, 2020, 14:7.

• 2018:

• [15] Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu. Brain-inspired Balanced Tuning for Spiking Neural Networks. The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018, CCF-A), July 13-19, 2018, Stockholm, Sweden. [Recommended]

• [14] Dor Mizrahi, Ilan Laufer, Inon Zuckerman, Tielin Zhang. The Effect of Culture and Social Orientation on Player's Performances in Tacit Coordination Games, International Conference on Brain Informatics(BI 2018), Springer, Cham, 2018: 437-447.

• 2017:

• [13] Tielin Zhang, Yi Zeng, Bo Xu. A computational approach towards the microscale mouse brain connectome from the mesoscale. Journal of Integrative Neuroscience (SCI-Q4, IF 2.1), Mar 3, 2017, 16(3): 291-306.

• [12] Yi Zeng#, Tielin Zhang#, Bo Xu. Improving multi-layer spiking neural networks by incorporating braininspired rules. Science China-Information Sciences (SCI-Q2, IF 4.3), 2017, 60(5): 052201:01-12, doi: 10.1007/s11432-016-0439-4. [Recommended]

• [11] Feifei Zhao, Tielin Zhang(Co-first), Yi Zeng and Bo Xu. Towards a Brain-Inspired Developmental Neural Network by Adaptive Synaptic Pruning. The 24th international Conference on Neural Information Processing (ICONIP 2017, CCF-C), November 14-18, Guangzhou, China, 2017.

• 2016:

• [10] Xin Liu, Yi Zeng, Tielin Zhang, Bo Xu. Parallel Brain Simulator: A Multi-scale and Parallel Brain-inspired Neural Network Modeling and Simulation Platform. Cognitive Computation (SCI-Q1, IF 5.4), Springer, 2016.

• [9] Tielin Zhang, Yi Zeng, and Bo Xu. HCNN: A Neural Network Model for Combining Local and Global Features towards Human-like Classification. International Journal of Pattern Recognition and Artificial Intelligence (SCI-Q4, IF 1.3), 30(1), 1655004:01-19, 2016.

• [8] Tielin Zhang, Yi Zeng, Dongcheng Zhao, Liwei Wang, Yuxuan Zhao, Bo Xu. HMSNN: Hippocampus inspired Memory Spiking Neural Network. Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016, CCF-C), Budapest, Hungary, October 9-12, 2016. [Recommended]

• 2015:

• [7] Tielin Zhang, Yi Zeng and Bo Xu. Biological Neural Network Structure and Spike Activity Prediction based on Multi-neuron Spike Train Data. International Journal of Intelligence Science, 5(2), 102-111, 2015.

• 2014:

• [6] Yi Zeng, Dongsheng Wang, Tielin Zhang and Bo Xu. Linked Neuron Data (LND): A Platform for Integrating and Semantically Linking Neuroscience Data and Knowledge. Frontiers in Neuroinformatics. Conference Abstract: The 7th Neuroinformatics Congress (Neuroinformatics 2014), Leiden, the Netherlands, August 25-27, 2014.

• [5] Yi Zeng, Tielin Zhang, and Hongwei Hao. Active Recommendation of Tourist Attractions based on Visitors Interests and Semantic Relatedness. Proceedings of the 2014 International Conference on Active Media Technology (AMT 2014), Lecture Notes in Computer Science 8610, 263-273, Springer, Warsaw, Poland, August 11-14, 2014.

• [4] Yi Zeng#, Tielin Zhang#, Bo Xu. Neural Pathway Prediction based on Multi-neuron Spike Train Data. The Twenty-Third Annual Computational Neuroscience Meeting (CNS 2014), Québec City, Canada, July 26-31, 2014, BMC Neuroscience, 15(Suppl 1): P6, 2014.

• [3] Tielin Zhang, Yi Zeng, Bo Xu. Neural Spike Prediction based on Spreading Activation. The Twenty-Third Annual Computational Neuroscience Meeting (CNS 2014), Québec City, Canada, July 26-31, 2014, BMC Neuroscience, 15(Suppl 1): P7, 2014.

• 2013:

• [2] Yi Zeng, Dongsheng Wang, Tielin Zhang, Hao Wang, Hongwei Hao, Bo Xu. CASIA-KB: A Multi-source Chinese Semantic Knowledge Base Built from Structured and Unstructured Web Data. Proceedings of the 3rd Joint International Semantic Technology Conference (JIST 2013), Lecture Notes in Computer Science, 8388, 75–88, Springer, Seoul, Korea, November 28-30, 2013.

• [1] Yi Zeng, Dongsheng Wang, Tielin Zhang, Hao Wang, Hongwei Hao. Linking Entities in Short Texts based on a Chinese Semantic Knowledge Base. Proceedings of the 2nd Conference on Natural Language Processing and Chinese Computing (NLP&CC 2013), Communications in Computer and Information Science, 400, 266-276, Chongqing, China, November 15-19, 2013.