Bing Han

19 papers A* 1Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers.
CoRR
Sicheng Shen, Mingyang Lv, Bing Han, Dongcheng Zhao, Guobin Shen, Feifei Zhao, Yi Zeng
2025 J jnl
Adaptive sparse structure development with pruning and regeneration for spiking neural networks.
Inf. Sci.
Bing Han, Feifei Zhao, Wenxuan Pan, Yi Zeng
2025 J jnl
Brain-Inspired Multiscale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks.
IEEE Trans. Evol. Comput.
Wenxuan Pan, Feifei Zhao, Guobin Shen, Bing Han, Yi Zeng
2025 J jnl
Continual Learning of Multiple Cognitive Functions with Brain-inspired Temporal Development Mechanism.
CoRR
Bing Han, Feifei Zhao, Yinqian Sun, Wenxuan Pan, Yi Zeng
2025 J jnl
Developmental Plasticity-Inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Bing Han, Feifei Zhao, Yi Zeng, Guobin Shen
2025 J jnl
Fine-Grained Safety Neurons with Training-Free Continual Projection to Reduce LLM Fine Tuning Risks.
CoRR
Bing Han, Feifei Zhao, Dongcheng Zhao, Guobin Shen, Ping Wu, Yu Shi, Yi Zeng
2025 J jnl
Redefining Superalignment: From Weak-to-Strong Alignment to Human-AI Co-Alignment to Sustainable Symbiotic Society.
CoRR
Yi Zeng, Feifei Zhao, Yuwei Wang, Enmeng Lu, Yaodong Yang, Lei Wang, Chao Liu, Yitao Liang, Dongcheng Zhao, Bing Han, Haibo Tong, Yao Liang, Dongqi Liang, Kang Sun, Boyuan Chen, Jinyu Fan
2025 J jnl
Similarity-based context aware continual learning for spiking neural networks.
Neural Networks
Bing Han, Feifei Zhao, Yang Li, Qingqun Kong, Xianqi Li, Yi Zeng
2024 J jnl
Brain-inspired and Self-based Artificial Intelligence.
CoRR
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
2024 J jnl
Evolving Efficient Genetic Encoding for Deep Spiking Neural Networks.
CoRR
Wenxuan Pan, Feifei Zhao, Bing Han, Haibo Tong, Yi Zeng
2024 J jnl
Similarity-based context aware continual learning for spiking neural networks.
CoRR
Bing Han, Feifei Zhao, Yang Li, Qingqun Kong, Xianqi Li, Yi Zeng
2023 J jnl
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks.
CoRR
Bing Han, Feifei Zhao, Wenxuan Pan, Zhaoya Zhao, Xianqi Li, Qingqun Kong, Yi Zeng
2023 J jnl
Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks.
CoRR
Wenxuan Pan, Feifei Zhao, Yi Zeng, Bing Han
2023 A* conf
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks.
IJCAI
Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan, Guobin Shen
2023 J jnl
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks.
CoRR
Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan, Guobin Shen
2023 J jnl
Multi-scale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks.
CoRR
Wenxuan Pan, Feifei Zhao, Guobin Shen, Bing Han, Yi Zeng
2022 J jnl
Adaptive Sparse Structure Development with Pruning and Regeneration for Spiking Neural Networks.
CoRR
Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan
2022 J jnl
Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks.
CoRR
Bing Han, Feifei Zhao, Yi Zeng, Guobin Shen
2022 J jnl
Nature-inspired self-organizing collision avoidance for drone swarm based on reward-modulated spiking neural network.
Patterns
Feifei Zhao, Yi Zeng, Bing Han, Hongjian Fang, Zhuoya Zhao