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Dr
副研究员
人工智能伦理安全、类脑认知智能
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Overview
Selected Publications
研究方向

赵菲菲，中国科学院自动化研究所副研究员，硕士生导师。中国人工智能学会心智计算专业委员会副秘书长。研究方向为人工智能安全与伦理和类脑认知智能，在National Science Review、PNAS、Cell出版社旗下Patterns、iScience、IEEE TPAMI、IEEE TEVC、IEEE TAFFC、ICLR、ICML、NeurIPS、ACL、ICRA、IJCAI等国际重要会议和期刊发表高水平学术论文近40篇。相关成果荣获 Cell 出版社 2023 年度 “中国年度论文”奖。授权国家发明专利 5 项，登记软件著作权 2 项。

研究的长远目标是推动人工智能向普惠向善、安全可控的方向发展。研究聚焦于探索心智理论、情感共情等社会认知机制驱动的多智能体与人机安全交互、主动利他救援及风险规避，致力于发展兼具高安全、高共情与伦理合规性的新一代人工智能。常年招收招收对前沿AI伦理安全、类脑智能感兴趣的硕士生、实习生，联系方式：zhaofeifei2014@ia.ac.cn。

具体研究方向包括：

  • 人工智能安全与伦理：大模型安全评测与价值对齐、智能体安全与防护、具身智能安全、AI for good
  • 类脑认知智能：类脑发育与自然演化脉冲神经网络、脑启发社会认知与道德决策模型。
科研项目
  • 项目负责人，国家自然科学基金面上项目：基于多尺度脑发育可塑性的脉冲神经网络高能效连续学习方法研究，50万，2026-01-01至2029-12-31
  • 项目负责人，国家自然科学基金青年项目：基于自主演化的类脑决策脉冲神经网络模型研究，30万，2022-01-01至2024-12-31
  • 子课题负责人，科技创新2030-重大项目：智能系统的模型化开发与形式化验证技术，87.65万，2020-11-01至2023-10-31
  • 项目负责人，启元实验室：L0与L0+层大模型伦理评测方案制定，200万，2024-07-01至2025-06-30
  • 核心骨干，北京市科学技术委员会 中央引导地方专项：基于外部监督对齐与内部机制对齐的超级对齐关键技术研究及示范应用，1000万，2024-09-01至2026-09-30
  • 核心骨干，国家自然科学基金 专项项目：VR环境中的社会情感与互动过程：利他行为的认知神经计算机制及其在AI中的应用，67.6万，2025-01-01至2027-12-31
  • 核心骨干，华为技术有限公司：前沿AI治理及社会认知与伦理测评，142.9万，2025-10-17至2026-10-17
  • 核心骨干，科技创新2030-重大项目：人工智能治理国际综合分析评估，190万，2022-12-01至2025-11-30
授课经历
  • 研究生课程：人工智能哲学与伦理，授课教师
  • 研究生课程：系统与计算神经科学，助教
代表性学术成果
  • Bing Han, Feifei Zhao, Yinqian Sun, Wenxuan Pan and Yi Zeng. Continual learning of multiple cognitive functions with a brain-inspired temporal development mechanism. National Science Review, 2026. Co-First Author; IF:17.1
  • Sicheng Shen, Mingyang Lv, Bing Han, Dongcheng Zhao, Guobin Shen, Feifei Zhao, Yi Zeng. TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers. ICML, 2026. Co-Corresponding Author; CCF-A
  • Haibo Tong, Zeyang Yue, Feifei Zhao, Erliang Lin, Lu Jia, Ruolin Chen, Yinqian Sun, Qian Zhang, Yi Zeng. CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models. ACL, 2026. Co-First Author & Co-Corresponding Author; CCF-A
  • Yao Liang, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yuwei Wang, Dongqi Liang, Yi Zeng. DiverValue-Bench: A Benchmark and Fine-Tuning Framework for Aligning Large Language Models with Diverse Human Values. IJCAI, 2026. Co-First Author; CCF-A
  • Mingyang Lyu, Yinqian Sun, Erliang Lin, Huangrui Li, Ruolin Chen, Feifei Zhao, Yi Zeng. Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models. ICRA, 2026. Co-Corresponding Author; CCF-B
  • Guobin Shen, Dongcheng Zhao, Haibo Tong, Jindong Li, Feifei Zhao, Yi Zeng. Safety Instincts: LLMs Learn to Trust Their Internal Compass for Self-Defense. ICLR, 2026. CCF-A
  • Yinqian Sun, Feifei Zhao, Mingyang Lv, Yi Zeng. Spiking World Model with Multi-Compartment Neurons for Model-based Reinforcement Learning. PNAS, 2025.IF: 9.1
  • Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Feifei Zhao, Yi Zeng. Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks. NIPS, 2025. CCF-A
  • Feifei Zhao, Hui Feng, Haibo Tong, Zhengqiang Han, Enmeng Lu, Yinqian Sun, Yi Zeng. Building Altruistic and Moral AI Agent with Brain-inspired Emotional Empathy Mechanisms. IEEE Transactions on Affective Computing (IEEE TAFFC), 2025. First Author; IF: 9.8
  • Bing Han, Feifei Zhao, Yang Li, Qingqun Kong, Xin Liu, Yi Zeng. Similarity-based context aware continual learning for spiking neural networks. Neural Networks, 2024. Co-First Author
  • 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.
  • 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 (IEEE TEVC), 2024. Co-First Author; IF: 13.5
  • 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 (IEEE TPAMI), 2024. Co-First Author; IF: 18.6
  • Bing Han, Feifei Zhao, Wenxuan Pan, Yi Zeng. Adaptive sparse structure development with pruning and regeneration for spiking neural networks. Information Sciences, 2024. Co-First Author
  • Yang Li, Feifei Zhao, Dongcheng Zhao, Yi Zeng. Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient. Neural Networks, 2024.
  • Wenxuan Pan, Feifei Zhao, Zhuoya Zhao, Yi Zeng. Brain-inspired Evolutionary Architectures for Spiking Neural Networks. IEEE Transactions on Artificial Intelligence (TAI), 2024. Co-First Author
  • 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 (TAI), 2024. Co-First Author
  • Wenxuan Pan, Feifei Zhao(co-first), Bing Han, Yiting Dong, Yi Zeng. Emergence of Brain-inspired Small-world Spiking Neural Network through Neuroevolution. iScience, Cell Press, 2024. Co-First Author
  • 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. Co-First Author
  • Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan, Guobin Shen. Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks. IJCAI, 2023. Co-First Author
  • 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. Co-First Author
  • Wenxuan Pan, Feifei Zhao, Yi Zeng, Bing Han. Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks. Scientific Reports, Nature Publishing Group, 2023. Co-First Author
  • 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.
  • Feifei Zhao, Yi Zeng, Jun Bai. Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics. Neural Computation, MIT Press, 2021.