• Papers and Reports

• Guobin Shen, Dongcheng Zhao, Yiting Dong, Xiang He, Yi Zeng. Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models. International Conference on Learning Representations (ICLR), 2025.

• Guobin Shen, Dongcheng Zhao, Aorigele Bao, Xiang He, Yiting Dong, Yi Zeng. StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?. AAAI Conference on Artificial Intelligence (AAAI), 2025.

• Aorigele Bao, Yi Zeng. Allowing AI co-authors is a disregard for humanization. Accountability in Research, 2024.

• Yuwei Wang, Enmeng Lu, Zizhe Ruan, Yao Liang, Yi Zeng. Stream: Social data and knowledge collective intelligence platform for TRaining Ethical AI Models. AI & SOCIETY, 2024: 1-9.

• Aorigele Bao, Yi Zeng. Understanding the dilemma of explainable artificial intelligence: a proposal for a ritual dialog framework. Humanities and Social Sciences Communications 11.1 (2024): 1-9.

• Aorigele Bao, Yi Zeng. Embracing grief in the age of deathbots: a temporary tool, not a permanent solution. Ethics and Information Technology, 2024, 26(1): 7.

• Yi Zeng, Enmeng Lu, Kang Sun. Principles on symbiosis for natural life and living artificial intelligence. AI and Ethics, 2023.

• Aorigele Bao, Yi Zeng, Enmeng Lu. Mitigating emotional risks in human-social robot interactions through virtual interactive environment indication. Humanities and Social Sciences Communications, Nature Press, 2023.

• Yi Zeng. Deep Coordination among Development, Ethics, and Governance of Science and Technology. China Science Daily, March 22, 2022.

• Yi Zeng, Kang Sun, Enmeng Lu. Declaration on the Ethics of Brain-Computer Interfaces and Augment Intelligence. AI and Ethics, Springer, 2021.

• Yi Zeng. Global Cooperation on Artificial Intelligence is not a Zero-Sum Game.Guangming Daily, 2021.

• Yi Zeng, Kang Sun, Enmeng Lu. Ethics and Governance Perspectives to Fight Against Catastrophic Risks: From COVID-19 to Long-term Safety Issues of Artificial General Intelligence. In: Data, AI Governance, and COVID-19: Medium and Long-term Perspectives for Asia, 2020 (This paper is originally published in Japanese in IPSJ Magazine, Vol. 61, No. 10, October 2020).

• Seán S. ÓhÉigeartaigh, Jess Whittlestone, Yang Liu, Yi Zeng & Zhe Liu. Overcoming Barriers to Cross-cultural Cooperation in AI Ethics and Governance. Philosophy & Technology, 2020.

• Yi Zeng, Enmeng Lu, Kang Sun, Samuel Curtis. Facial Recognition and Public Health. Artificial Intelligence and Healthy Society Survey Series, Beijing Academy of Artificial Intelligence, 2020.

• Yi Zeng. Artificial Intelligence: An Accelerator for United Nations Sustainable Development Goals. Guangming Daily, June 18th, 2020.

• Yi Zeng, Kang Sun. Fighting COVID-19 with AI: efforts and lessons from China. Global Times, March 7th, 2020.

• Yi Zeng, Enmeng Lu, Yinqian Sun, Ruochen Tian. Responsible Facial Recognition and Beyond. 2019.

• Yi Zeng, Enmeng Lu, Cunqing Huangfu. Linking Artificial Intelligence Principles. The AAAI 2019 Safe Artificial Intelligence (AAAI SafeAI-2019) Workshop, January 27, 2019.

• Principles and Specifications

• Principles on AI for Climate Actions, 2022. [Yi Zeng, as the lead author, with contributions from Cunqing Huangfu, Kang Sun, Yang Yu, Emma Ruttkamp-Bloem, Mark Findlay, Christoph Lütge, Helen Meng, etc.]

• Ethical Norms for the New Generation Artificial Intelligence, 2021. [Yi Zeng as one of the authors and board members for national governance committee of new generation AI]

• Recommendation of AI Ethics, UNESCO, 2021. [Yi Zeng as one of the members of the UNESCO Adhoc Expert Group on AI Ethics]

• WHO Guidance on AI Ethics and Governance for Health, 2021 [Yi Zeng as one of the members for the WHO Expert Group on AI Ethics and Governance for Health]

• Ethical considerations to guide the use of digital proximity tracking technologies for COVID-19 contact tracing, World Health Organization (WHO), 2020. [Yi Zeng as one of the members for the WHO Expert Group on AI Ethics and Governance for Health.

• Governance Principles for the New Generation Artificial Intelligence, 2019. [Yi Zeng as one of the main authors and board members for the national governance committee of new generation AI]

• AI for Children: Beijing Principles, 2020. [Yi Zeng, Kang Sun, Enmeng Lu as the authors and endorsed by the academic and industrial community]

• Beijing AI Principles, 2019. [Yi Zeng as the lead author, with participation from Enmeng Lu, and endorsed by the academic and industrial community]

• Harmonious Artificial Intelligence Principles, 2018. [Yi Zeng as the author]

• Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng. Pushing up to the Limit of Memory Bandwidth and Capacity Utilization for Efficient LLM Decoding on Embedded FPGA. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2025.

• Dongcheng Zhao, Guobin Shen, Yiting Dong, Yang Li, Yi Zeng. Improving stability and performance of spiking neural networks through enhancing temporal consistency. Pattern Recognition, 2025.

• Bing Han, Feifei Zhao, Yang Li, Qingqun Kong, Xianqi Li, Yi Zeng. Similarity-based context aware continual learning for spiking neural networks. Neural Networks, 2025.

• Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang, Qian Zhang, Yi Zeng. Neuro-Vision to Language: Image Reconstruction and Interaction via Non-invasive Brain Recordings. Advances in Neural Information Processing Systems (NeurIPS), 2024.

• Xiang He, Xiangxi Liu, Yang Li, Dongcheng Zhao, Guobin Shen, Qingqun Kong, Xin Yang, Yi Zeng. CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization. ACM Multimedia, 2024.

• Qianhao Wang, Yinqian Sun, Enmeng Lu, Qian Zhang, Yi Zeng. Brain-Inspired Action Generation with Spiking Transformer Diffusion Policy Model. Advances in Brain Inspired Cognitive Systems (BICS), 2024.

• Weiyi Li, Dongcheng Zhao, Yiting Dong, Guobin Shen, Yi Zeng. Enhancing Few-Shot Learning in Spiking Neural Networks Through Hebbian-Augmented Associative Memory. Advances in Brain Inspired Cognitive Systems (BICS), 2024.

• Tenglong Li, Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng. FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration With Reconfigurable Spatial Architecture. IEEE Transactions on Circuits and Systems I (TCAS-I), 2024.

• Wenxuan Pan, Feifei Zhao, Guobin Shen, Bing Han, Yi Zeng. Brain-Inspired Multi-Scale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks. IEEE Transactions on Evolutionary Computation, 2024.

• Yinqian Sun, Feifei Zhao, Zhuoya Zhao, Yi Zeng. Multi-compartment neuron and population encoding powered spiking neural network for deep distributional reinforcement learning. Neural Networks, 2024.

• Yuwei Wang, Yi Zeng. A Brain-inspired Computational Model for Human-like Concept Learning. ArXiv preprint arXiv: 2401.06471 (2024).

• Ilana Witten, Daniel L.K. Yamins, Claudia Clopath, Matthias Bethge, Yi Zeng, Ann Kennedy, Abeba Birhane, Doris Tsao, Been Kim, Ila Fiete. Future views on neuroscience and AI. Cell, 2024.

• Bing Han, Feifei Zhao, Yi Zeng, Guobin Shen. Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

• Bing Han, Feifei Zhao, Wenxuan Pan, Yi Zeng. Adaptive Sparse Structure Development with Pruning and Regeneration for Spiking Neural Networks. Information Sciences, 2024.

• Wenxuan Pan, Feifei Zhao, Zhuoya Zhao, Yi Zeng. Brain-inspired Evolutionary Architectures for Spiking Neural Networks. IEEE Transactions on Artificial Intelligence, 2024.

• Yang Li, Xiang He, Qingqun Kong, Yi Zeng. Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference. Information Sciences, 2024.

• Linghao Feng, Dongcheng Zhao, Yi Zeng. Spiking generative adversarial network with attention scoring decoding. Neural Networks, 2024.

• Yiting Dong, Xiang He, Guobin Shen, Dongcheng Zhao, Yang Li, Yi Zeng. EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision. arXiv preprint arXiv: 2405.18880 (2024).

• Zhuoya Zhao, Feifei Zhao, Shiwen Wang, Yinqian Sun, Yi Zeng. A Brain-inspired Theory of Collective Mind Model for Efficient Social Cooperation. IEEE Transactions on Artificial Intelligence, 2024.

• Xiang He, Yang Li, Dongcheng Zhao, Qingqun Kong, Yi Zeng. MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks. Neural Computing and Applications, 2024.

• Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng. An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain. Proceedings of the AAAI Conference on Artificial Intelligence, 2024.

• Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng. Firefly v2: Advancing hardware support for high-performance spiking neural network with a spatiotemporal fpga accelerator. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024

• Yao Liang, Yuwei Wang, Yang Li, Yi Zeng. Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning. arXiv preprint arXiv: 2403.07440 (2024).

• Yiting Dong, Dongcheng Zhao, Yi Zeng. Temporal knowledge sharing enable spiking neural network learning from past and future. IEEE Transactions on Artificial Intelligence, 2024

• Yi Zeng, Feifei Zhao, Yuxuan Zhao, Dongcheng Zhao, Enmeng Lu, Qian Zhang, Yuwei Wang, Hui Feng, Zhuoya Zhao, Jihang Wang, Qingqun Kong, Yinqian Sun, Yang Li, Guobin Shen, Bing Han, Yiting Dong, Wenxuan Pan, Xiang He, Aorigele Bao, Jin Wang. Brain-inspired and Self-based Artificial Intelligence. arXiv preprint arXiv: 2402.18784 (2024).

• Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng. Parallel Spiking Unit for Efficient Training of Spiking Neural Networks. IJCNN, 2024.

• Guobin Shen, Dongcheng Zhao, Yi Zeng. Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks. Neural Networks, 2024.

• Guobin Shen, Dongcheng Zhao, Tenglong Li, Jindong Li, Yi Zeng. Are Conventional SNNs Really Efficient? A Perspective from Network Quantization. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024.

• Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng. Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines. 34th International Conference on Field-Programmable Logic and Applications, 2024.

• Sicheng Shen, Dongcheng Zhao, Guobin Shen, Yi Zeng. TIM: An Efficient Temporal Interaction Module for Spiking Transformer. IJCAI, 2024.

• Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng. Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. Advances in Neural Information Processing Systems, 2024, 36.

• Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang, Qian Zhang, Yi Zeng. Neuro-Vision to Language: Image Reconstruction and Language enabled Interaction via Brain Recordings. arXiv preprint arXiv: 2404.19438 (2024).

• Wenxuan Pan, Feifei Zhao, Bing Han, Yiting Dong, Yi Zeng. Emergence of brain-inspired small-world spiking neural network through neuroevolution. iScience, Cell Press, 2024.

• Qian Zhang, Han Lu, jihang Wang, Taoyi Yang, Weida Bi, Yi Zeng, Buwei Yu. Hierarchical rhythmic propagation of corticothalamic interactions for consciousness: A computational study. Computers in Biology and Medicine, 2024.

• Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Jindong Li, Kang Sun, Yi Zeng. Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling. Arxiv, 2023.

• Yuxuan Zhao, Enmeng Lu, Yi Zeng. Brain-inspired bodily self-perception model for robot rubber hand illusion. Patterns, Cell Press, 2023.

• Guobin Shen, Dongcheng Zhao, Yiting Dong, Yi Zeng. Brain-inspired neural circuit evolution for spiking neural networks. Proceedings of the National Academy of Sciences (PNAS), 2023.

• Wenxuan Pan, Feifei Zhao, Yi Zeng, Bing Han. Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks. Scientific Reports, Nature Press, 2023.

• Yi Zeng, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi. BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation. Patterns, Cell Press, 2023.

• Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng. An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections. Neural Networks, 165:799-808, 2023.

• Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng. FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023.

• Zhuoya Zhao, Feifei Zhao, Yuxuan Zhao, Yi Zeng, Yinqian Sun. A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition, Patterns, Cell Press, 2023.

• Guobin Shen, Dongcheng Zhao, Yi Zeng. EventMix: An efficient data augmentation strategy for event-based learning, Information Sciences, Volume 644, 119170, October 2023.

• Jinyu Fan, Yi Zeng. Challenging Deep Learning Models with Image Distortion Based on the Abutting Grating Illusion, Patterns, Cell Press, 2023.

• Yang Li, Yiting Dong, Dongcheng Zhao, Yi Zeng. N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-temporal Sparse Few-shot Learning. Scientific Data, 9(746), Nature Publishing Group, 2022.

• Feifei Zhao, Yi Zeng, Bing Han, Hongjian Fang, Zhuoya Zhao. Nature-inspired Self-organizing Collision Avoidance for Drone Swarm Based on Reward-modulated Spiking Neural Network, Patterns, Cell Press, 2022.

• Hui Feng, Yi Zeng. A Brain-Inspired Robot Pain Model Based on a Spiking Neural Network, Frontiers in Neurorobotics, 2022.

• Yinqian Sun, Yi Zeng, and Yang Li. Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization, Frontiers in Neuroscience, 2022.

• Yuxuan Zhao, Yi Zeng. A Brain-inspired Intention Prediction Model and Its Applications to Humanoid Robot, Frontiers in Neuroscience, 16:1009237, 2022.

• Yang Li, Dongcheng Zhao, and Yi Zeng. BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons, Frontiers in Neuroscience, 2022.

• Hui Feng, Yi Zeng, and Enmeng Lu. Brain-Inspired Affective Empathy Computational Model and Its Application on Altruistic Rescue Task, Frontiers in Computational Neuroscience, 2022.

• Dongcheng Zhao, Yi Zeng, Yang Li, Jihang Wang, Qian Zhang. Spiking Capsnet: A Spiking Neural Network With a Biologically Plausible Routing Rule Between Capsules, Information Sciences, 2022.

• Dongcheng Zhao, Yi Zeng, Yang Li. BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons, Neural Networks, Volume 154, 68-77, 2022.

• Guobin Shen, Dongcheng Zhao, Yi Zeng. Backpropagation with Biologically Plausible Spatiotemporal Adjustment for Training Deep Spiking Neural Networks. Patterns, Cell Press, 2022.

• Zhuoya Zhao, Enmeng Lu, Feifei Zhao, Yi Zeng, and Yuxuan Zhao. A Brain-Inspired Theory of Mind Spiking Neural Network for Reducing Safety Risks of Other Agents. Frontiers in Neuroscience, 2022.

• Yang Li, Yi Zeng. Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes. Proceedings of the 31st International Joint Conferences on Artificial Intelligence (IJCAI-22), 2022.

• Yuwei Wang, Yi Zeng. Multisensory Concept Learning Framework Based on Spiking Neural Networks. Frontiers in Systems Neuroscience, 16:845177, 2022.

• Yuwei Wang, Yi Zeng. Statistical Analysis of Multisensory and Text-Derived Representations on Concept Learning. Frontiers in Computational Neuroscience, 16:861265, 2022.

• Hongjian Fang, Yi Zeng. A Brain-Inspired Causal Reasoning Model Based on Spiking Neural Networks. 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021.

• Yinqian Sun, Yi Zeng, Tielin Zhang. Quantum Superposition Inspired Spiking Neural Network. iScience, 24(8), 102880, Cell Press, 2021.

• Yuxuan Zhao, Yi Zeng, Guang Qiao. Brain-Inspired Classical Conditioning Model. iScience, 24(1), 101980, Cell Press, 2021.

• Yang Li, Yiting Dong, Dongcheng Zhao, Yi Zeng. N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning. Arxiv:2112.13230, 2021.

• 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, 7(43), AAAS, 2021.

• Feifei Zhao, Yi Zeng, Jun Bai. Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics. Neural Computation, MIT Press, 2021.

• Qian Liang, Yi Zeng. Stylistic Composition of Melodies based on a Brain-inspired Spiking Neural Network. Frontiers in Systems Neuroscience, 15:639484, 2021.

• Feifei Zhao, Yi Zeng. Dynamically Optimizing Network Structure Based on Synaptic Pruning in the Brain. Frontiers in Systems Neuroscience, 15:620558, 2021.

• Hongjian Fang, Yi Zeng, Feifei Zhao. Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP. Frontiers in Computational Neuroscience, 15:612041, 2021.

• 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, 2020.

• Yi Zeng, Yuxuan Zhao, Tielin Zhang, Dongcheng Zhao, Feifei Zhao, and Enmeng Lu. A Brain-Inspired Model of Theory of Mind. Frontiers in Neurorobotics, 2020.

• Qian Liang, Yi Zeng, Bo Xu. Temporal-Sequential Learning with a Brain-Inspired Spiking Neural Network and Its Application to Musical Memory. Frontiers in Computational Neuroscience, 14:51, 2020.

• Mengting Shi, Tielin Zhang, Yi Zeng. A Curiosity-Based Learning Method for Spiking Neural Networks. Frontiers in Computational Neuroscience, 2020.

• Feifei Zhao, Qingqun Kong, Yi Zeng, Bo Xu. A Brain-inspired Visual Fear Responses Model for UAV Emergent Obstacle Dodging. IEEE Transactions on Cognitive and Developmental Systems, 12(1): 124-132, 2020.

• Tielin Zhang, Yang Yang, Yi Zeng, Yuxuan Zhao. Cognitive Template-clustering Improved LineMod for Efficient Multi-object Pose Estimation. Cognitive Computation, 2020.

• Yuwei Wang, Yi Zeng, Jianbo Tang and Bo Xu. Biological Neuron Coding Inspired Binary Word Embeddings. Cognitive Computation, Springer, 2019.

• Jun Bai, Yi Zeng, Yuxuan Zhao and Feifei Zhao. Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks. Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN 2019). Budapest, Hungary, July 14-19, 2019.

• Dongcheng Zhao, Yi Zeng. Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking. Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN 2019). Budapest, Hungary, July 14-19, 2019.

• Feifei Zhao, Yi Zeng, and Bo Xu. A Brain-inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle. Frontiers in Neurorobotics, 2018.

• 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-18), Stockholm, Sweden, 2018.

• Yi Zeng, Guixiang Wang, Bo Xu. A Basal Ganglia Network Centric Reinforcement Learning Model and Its Application in Unmanned Aerial Vehicle. IEEE Transactions on Cognitive and Developmental Systems, 10(2): 290-303, 2018.

• Yi Zeng, Yuxuan Zhao, Jun Bai, Bo Xu. Towards Robot Self-consciousness (II): Brain-inspired Robot Bodily Self Model for Self-Recognition. Cognitive Computation, 10(2): 307-320, Springer, 2018.

• Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi. A Plasticity-centric Approach to Train the Non-differential Spiking Neural Networks. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), Lousiana, USA, 2018.

• Yi Zeng, Tielin Zhang, Bo Xu. Improving Multi-layer Spiking Neural Networks by Incorporating Brain-inspired Rules. SCIENCE CHINA Information Sciences, 60(5): 052201, 2017.

• Feifei Zhao, Tielin Zhang, Yi Zeng, Bo Xu. Towards a Brain-inspired Developmental Neural Network by Adaptive Synaptic Pruning. Proceedings of the 24th International Conference on Neural Information Processing (ICONIP 2017), 2017.

• Guang Qiao, Hongyue Du, Yi Zeng. A Quaternionic Rate-based Synaptic Learning Rule Derived from Spike-Timing Dependent Plasticity. Lecture Notes in Computer Science, 10261, 457-465, 2017.

• Xin Liu, Yi Zeng, Bo Xu. Parallel Brain Simulator: A Multi-scale and Parallel Brain-inspired Neural Network Modeling and Simulation Platform. Cognitive Computation, Volume 8, Issue 5, 967-981, Springer, 2016.

• Yi Zeng, Yuxuan Zhao, Jun Bai. Towards Robot Self-Consciousness (I): Brain-inspired Robot Mirror Neuron System Model and Its Application in Mirror Self-Recognition. Lecture Notes in Computer Science, 10023, 11-21, 2016.

• Guixiang Wang, Yi Zeng, Bo Xu. A Spiking Neural Network Based Autonomous Reinforcement Learning Model and Its Application in Decision Making. Lecture Notes in Computer Science, 10023, 125-137, 2016.

• Yi Zeng, Chenglin Liu, Tieniu Tan. Retrospect and Outlook of Brain-inspired Intelligence Research [in Chinese]. The Chinese Journal of Computers, Volume 39, Issue 1, 212-222, 2016.

• Bo Xu, Chenglin Liu, Yi Zeng. Research Status and Developments of Brain-inspired Intelligence [in Chinese]. Bulletin of Chinese Academy of Sciences, Volume 31, Issue 7, 793-802, 2016.

• 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, Volume 30, Issue 1, 1655004, 2016.

• Yi Zeng, Feifei Zhao, Guixiang Wang, Lingyu Zhang, Bo Xu. Brain-inspired Obstacle Detection based on the Biological Visual Pathway. Proceedings of the 2016 International Conference on Brain Informatics and Health, Lecture Notes in Artificial Intelligence 9919, Omaha, Nebraska, USA, 2016.

• Yuwei Wang, Yi Zeng, Bo Xu. SHTM: A Neocortex-inspired Algorithm for One-shot Text Generation. Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 898-903, IEEE Press, Budapest, Hungary, October 9-12, 2016.

• 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, 2301-2306, IEEE Press, Budapest, Hungary, October 9-12, 2016.

• Xiaomei kang, Qingqun Kong, Yi Zeng, Bo Xu. A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System. Frontiers in Computational Neuroscience, 2018.

• Feifei Zhao, Yi Zeng, Guixiang Wang, Jun Bai, Bo Xu. A Brain-inspired Decision Making Model based on Top-down Biasing of Prefrontal Cortex to Basal Ganglia and Its Application in Autonomous UAV Explorations. Cognitive Computation, 10(2): 296-306, Springer, 2018.

• Chaoming Wang, Yi Zeng. Network of Recurrent Neural Networks: Design for Emergence. Proceedings of the 25th International Conference on Neural Information Processing (ICONIP2018).

• Qingqun Kong, Yi Zeng, Qiulei Dong. Biologically Inspired Deep Stereo Model. Proceedings of the 2015 IEEE International Conference on Image Processing (ICIP 2015), 3700-3704, Quebec City, Canada, 2015.

• 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, 2021.

• Tielin Zhang, Yi Zeng, Yue Zhang, Xinhe Zhang, Mengting Shi, Likai Tang, Duzhen Zhang, Bo Xu. Neuron type classification in rat brain based on integrative convolutional and tree-based recurrent neural networks. Scientific Reports, 11: 7291, Nature Publishing Group, 2021.

• Feifei Zhao, Yi Zeng, Aike Guo, Haifeng Su, Bo Xu. A Neural Algorithm for Drosophila Linear and Nonlinear Decision-making. Scientific Reports, 10: 18660, Nature Publishing Group, 2020.

• Qian Zhang, Yi Zeng, Taoyi Yang. Computational Investigation of Contributions from Different Subtypes of Interneurons in Prefrontal Cortex for Information Maintenance. Scientific Reports, 10: 4671, Nature Publishing Group, 2020.

• Cunqing Huangfu, Yi Zeng, Yuwei Wang. Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm. Frontiers in Neuroinformatics, 2020.

• Hongyin Zhu, Yi Zeng, Dongsheng Wang, Cunqing Huangfu. Species Classification for Neuroscience Literature Based on Span of Interest Using Sequence-to-sequence Learning Model. Frontiers in Human Neuroscience. 2020.

• Qingqun Kong, Jiuqi Han, Yi Zeng, Bo Xu. Efficient Coding Matters in the Organization of the Early Visual System. Neural Networks, Elsevier, 2018.

• Xiaosha Wang, Yangwen Xu, Yuwei Wang, Yi Zeng, Jiacai Zhang, Zhenhua Ling, Yanchao Bi. Representational similarity analysis reveals task-dependent semantic influence of the visual word form area. Scientific Reports, 8(1): 3047, Nature Publishing Group, 2018.

• Tielin Zhang, Yi Zeng, Bo Xu. A Computational Approach towards the Microscale Mouse Brain Connectome from the Mesoscale. Journal of Integrative Neuroscience, 16(3): 291-306, 2017.

• 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.

• 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.

• Yi Zeng, Dongsheng Wang, Hongyin Zhu. User Interests Analysis and Its Application on the Linked Brain Data Platform. Proceedings of the 2016 International Conference on Brain Informatics and Health, Lecture Notes in Artificial Intelligence 9919, Omaha, Nebraska, USA, October 13-16, 2016.

• Hongyin Zhu, Yi Zeng, Dongsheng Wang, Bo Xu. Brain Knowledge Graph Analysis Based on Complex Network Theory. Proceedings of the 2016 International Conference on Brain Informatics and Health, Lecture Notes in Artificial Intelligence 9919, Omaha, Nebraska, USA, October 13-16, 2016.

• Hongyin Zhu, Yi Zeng, Dongsheng Wang, Bo Xu. Relation Inference and Type Identification Based on Brain Knowledge Graph. Proceedings of the 2016 International Conference on Brain Informatics and Health, Lecture Notes in Artificial Intelligence 9919, Omaha, Nebraska, USA, October 13-16, 2016.

• Jiuqi Han, Qingqun Kong, Yi Zeng and Hongwei Hao. HEVS: A Hierarchical Computational Model for Early Stages of the Visual System. Proceedings of the 2015 International Joint Conference on Neural Networks (IJCNN 2015), 1-8, Killarney, Ireland, July 12-17, 2015.

• 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.

• 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.

• Yi Zeng, Weida Bi, Yun Wang, Xuan Tang and Bo Xu. Automatic Recovery of Z-Jumps for Neuronal Morphology Reconstruction. Frontiers in Neuroinformatics. Conference Abstract: The 7th Neuroinformatics Congress (Neuroinformatics 2014), Leiden, the Netherlands, August 25-27, 2014.

• Yi Zeng, Weida Bi, Xuan Tang, and Bo Xu. Neuronal Morphology Modeling Based on Microscopy Reconstruction Data in the Public Repositories. Proceedings of the 2014 International Conference on Brain Informatics and Health (BIH 2014), Lecture Notes in Artificial Intelligence 8609, 1-11, Springer, Warsaw, Poland, August 11-14, 2014.

• Hongyin Zhu, Yi Zeng, Yiping Yang. Research Topics Variation Analysis and Prediction Based on FARO and Neural Networks. Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, IEEE Press, Budapest, Hungary, October 9-12, 2016.

• 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.

• 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.
  

• Yi Zeng, Hongwei Hao, Bo Xu. Entity Conceptualization and Understanding based on Web-scale Knowledge Bases. Proceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2013), 3500-3504, Manchester, the United Kingdom, October 13-16, 2013.
  

• 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.

• Yi Zeng, Hao Wang, Hongwei Hao, Bo Xu. Statistical and Structural Analysis of Web-based Collaborative Knowledge Bases Generated from Wiki Encyclopedia. Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2012), Macau, China, December 4-7th, 2012.

• Yi Zeng, Hongwei Hao, Ning Zhong, Xu Ren, Yan Wang. Ranking and Combining Social Network Data for Web Personalization. Proceedings of the International Workshop on Data-driven User Behavioral Modelling and Mining from Social Media, co-located with the 21st ACM International Conference on Information and Knowledge Management (CIKM 2012), Hawaii, USA, October 29th, 2012.

• Yi Zeng, Danica Damljanovic, Xu Ren, Yan Wang. Identification and Selection (In Chinese). In: Zhisheng Huang and Ning Zhong (Eds.), Scalable Semantic Data Processing: Platform, Technology and Application, Higher Education Press, 2012.

• Yi Zeng, Ning Zhong, Xu Ren and Yan Wang. User Interests Driven Web Personalization Based on Multiple Social Networks. Proceedings of the 4th International Workshop on Web Intelligence & Communities, colocated with the 2012 World Wide Web Conference (WWW 2012), Lyon, France, April 16th, 2012.

• Yi Zeng, Zhisheng Huang, Fenrong Liu, Xu Ren, Ning Zhong. Interest Logic and Its Application on the Web. Proceedings of the 5th International Conference on Knowledge Science, Engineering, and Management (KSEM 2011). Lecture Notes in Artificial Intelligence 7091, 12-23, Springer, Irvine, California, USA, 2011.

• Yi Zeng. Web Retrieval and Reasoning based on Granular Computing (In Chinese). In: Ning Zhong, Jiming Liu, Yiyu Yao (Eds.), Advances in Web Intelligence (In Chinese), Higher Education Press, 2011.

• Yan Wang, Zhisheng Huang, Yi Zeng, Ning Zhong, Frank van Harmelen. Interleaving Reasoning and Selection with Knowledge Summarization. Proceedings of the 2nd International Workshop on Cyber-Physical Society, IEEE Press, Beijing, China, October 24-26, 2011.

• Yan Wang, Yi Zeng, Ning Zhong and Zhisheng Huang. A Matrix Approach to Implicit Relationship Finding in Large-scale Knowledge Base. Proceedings of the 7th International Conference on Semantics, Knowledge & Grids, IEEE Press, Beijing, China, October 24-26, 2011.

• Yunfei Ma, Yi Zeng, Xu Ren, and Ning Zhong. User Interest Modeling Based on Multi-source Personal Information Fusion and Semantic Reasoning. Proceedings of the 2011 International Conference on Active Media Technology, Lecture Notes in Computer Science 6890, 195-205, Springer, Lanzhou, China, September 7-9, 2011.

• Shaobo Wang, Yi Zeng, and Ning Zhong. Ontology Extraction and Integration from Semi-structured Data. Proceedings of the 2011 International Conference on Active Media Technology, Lecture Notes in Computer Science 6890, 39-48, Springer, Lanzhou, China, September 7-9, 2011.

• Lulin Zhao, Yi Zeng, and Ning Zhong. A Weighted Multi-Factor Algorithm for Microblog Search. Proceedings of the 2011 International Conference on Active Media Technology, Lecture Notes in Computer Science 6890, 153-161, Springer, Lanzhou, China, September 7-9, 2011.

• Yi Zeng, Erzhong Zhou, Yan Wang, Xu Ren, Yulin Qin, Zhisheng Huang, Ning Zhong. Research Interests : Their Dynamics, Structures and Applications in Unifying Search and Reasoning. Journal of Intelligent Information Systems, Volume 37, Number 1, 65-88, Springer, 2011.

• Yi Zeng, Ning Zhong, Yan Wang, Yulin Qin, Zhisheng Huang, Haiyan Zhou, Yiyu Yao, and Frank van Harmelen. User-centric Query Refinement and Processing Using Granularity Based Strategies. Knowledge and Information Systems, Volume 27, Number 3, 419-450, Springer, 2011.

• Yi Zeng, Erzhong Zhou, Yulin Qin, and Ning Zhong. Research Interests : Their Dynamics, Structures and Applications in Web Search Refinement. Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, IEEE Computer Society, Toronto, Canada, August 31- September 3, 2010.
  

• Yi Zeng, Yan Wang, Zhisheng Huang, Danica Damljanovic, Ning Zhong, and Cong Wang. User Interests: Definition, Vocabulary, and Utilization in Unifying Search and Reasoning. Proceedings of the 2010 International Conference on Active Media Technology, Lecture Notes in Computer Science 6335, 98-107, 2010.

• Xu Ren, Yi Zeng, Yulin Qin, Ning Zhong, Zhisheng Huang, Yan Wang, and Cong Wang. Social Relation Based Search Refinement: Let Your Friends Help You!. Proceedings of the 2010 International Conference on Active Media Technology, Lecture Notes in Computer Science 6335, 475-485, 2010.

• Yan Wang, Cong Wang, Yi Zeng, Zhisheng Huang, Vassil Momtchev, Bo Andersson, Xu Ren, and Ning Zhong. Normalized Medline Distance and Its Utilization in Context-aware Life Science Literature Search. Tsinghua Science and Technology, Volume 15, Issue 6, 709-715, Elsevier, 2010.

• Yan Wang, Yi Zeng, Cong Wang, Xu Ren, Yulin Qin, Vassil Momtchev, Ning Zhong and Bo Andersson. Cognitive Memory Inspired Search Refinement on Life Science Literatures. Proceedings of the 7th International Conference on Cognitive Science (ICCS2010), Beijing, China, August 17-20, 2010.

• Yiyu Yao, Ning Zhong, Yi Zeng. Information Retrieval Support Systems. In: Encyclopedia of Library and Information Sciences, Marcia J. Bates, Mary Niles Maack (Eds.), 3rd edition, Taylor & Francis Group , 2010, 2546-2552.

• Yi Zeng, Xu Ren, Yulin Qin, Ning Zhong, Zhisheng Huang  and Yan Wang. Social Relation Based Scalable Semantic Search Refinement. The 1st Asian Workshop on Scalable Semantic Data Processing (AS2DP), co-located with the 2009 Asian Semantic Web Conference, Shanghai, China, December 7th, 2009.

• Yi Zeng, Yan Wang, Zhisheng Huang, Ning Zhong. Unifying Web-scale Search and Reasoning from the Viewpoint of Granularity. In: Proceedings of the 2009 International Conference on Active Media Technology, Lecture Notes in Computer Science 5820, 418-429, Springer, Beijing, China, October 22-24, 2009.

• Peiqiang Li, Yi Zeng, Spyros Kotoulas, Jacopo Urbani, Ning Zhong. The Quest for Parallel Reasoning on the Semantic Web. In: Proceedings of the 2009 International Conference on Active Media Technology, Lecture Notes in Computer Science 5820, 430-441, Springer, Beijing, China, October 22-24, 2009.
  

• Yi Zeng, Yiyu Yao, Ning Zhong. DBLP-SSE: A DBLP Search Support Engine. In: Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, IEEE Computer Society, Milan, Italy, September 15-18, 2009.

• Yi Zeng, Ning Zhong. On Granular knowledge Structures. In: Proceedings of the first International Conference on Advanced Intelligence, Beijing, China, October 18-22, 2008.

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  ( This paper is recommended to the journal of "Computer Science" by Joint Conference of The Seventh National Conference of Rough Set and Soft Computing, the First National Conference of Granular Computing, the First National Conference of Web Intelligence, Taiyuan, Shanxi, China, August 19-23, 2007. [Excellent Student Paper Award])