-
Y Wang, E Lu, Z Ruan, Y Liang, Y Zeng, Stream: social data and knowledge collective intelligence platform for TRaining Ethical AI Models, AI & Society, pp. 1-9, 2024.
-
W. Pan, F. Zhao, Z. Zhao, Y. Zeng, Brain-inspired Evolutionary Architectures for Spiking Neural Networks, IEEE Transactions on Artificial Intelligence, vol. 5, no. 11, pp. 5760-5770, 2024.
-
T. Li, J. Li, G. Shen, D. Zhao, Q. Zhang, Y. 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.
-
B. Han, F. Zhao, Y. Zeng, G. Shen, Developmental plasticity-inspired adaptive pruning for deep spiking and artificial neural networks, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 38, no. 1, pp. 240-251, 2024.
-
F. Guo, S. Li, H. Yang, C. Dong, G. Li, An Efficient Sequential Decentralized Federated Progressive Channel Pruning Strategy for Smart Grid Electricity Theft Detection, IEEE Transactions on Industrial Informatics, 2024.
-
Q. Su, S. Mei, X. Xing, M. Yao, J. Zhang, B. Xu, G. Li, SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT, Neural Networks, vol. 180, p. 106630, 2024.
-
G. Li, L. Deng, H. Tang, G. Pan, Y. Tian, K. Roy, W. Maasset, Brain-inspired computing: A systematic survey and future trends, Proceedings of the IEEE, vol. 112, no. 6, pp.544-584, 2024.
-
Q. Su, W. He, X. Wei, B. Xu, G. Li, Multi-scale full spike pattern for semantic segmentation, Neural Networks, vol. 176, p. 106330, 2024.
-
X. Wu, W. He, M. Yao, Z. Zhang, Y. Wang, B. Xu, G. Li, Event-based Depth Prediction with Deep Spiking Neural Network, IEEE Transactions on Cognitive and Developmental Systems, vol. 16, no. 6, pp. 2008-2018, 2024.
-
Z. Chen, W. Zhao, L. Deng, Y. Ding, Q. Wen, G. li, Large-scale self-normalizing neural networks, Journal of Automation and Intelligence, vol. 3, no. 2, pp. 101-110, 2024.