-
H. Huang, Y. Cui, M. Shi, S. Yu, Semi‑supervised cerebrovascular segmentation using TOF‑MRA images based on label refinement and consistency regularization, Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2024), pp. 1‑5, Athens, Greece, May 27‑30, 2024.
-
Y. Li, Y. Sun, X. He, Y. Dong, D. Zhao, Y. Zeng, Parallel Spiking Unit for Efficient Training of Spiking Neural Networks, in International Joint Conference on Neural Networks (IJCNN), pp. 1-8, Yokohama, Japan, June 30 - July 5, 2024.
-
J. Li, T. Li, G. Shen, D. Zhao, Q. Zhang, Y. Zeng, Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines, 2024 34th International Conference on Field-Programmable Logic and Applications (FPL), IEEE, pp.197-203. Torino, Italy, September 2-6, 2024.
-
X. He, X. Liu, Y. Li, D. Zhao, G. Shen, Q. Kong, X. Yang, Y. Zeng, CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization, ACM Multimedia, pp. 985-993, Melbourne, VIC, Australia, Oct. 28 - Nov. 1, 2024.
-
S. Shen, D. Zhao, G. Shen, Y. Zeng, TIM: An Efficient Temporal Interaction Module for Spiking Transformer, in International Joint Conference on Artificial Intelligence (IJCAI), pp. 3133-3141, Jeju, South Korea, August 3-9, 2024.
-
K. Wang, J. Zhang, Y. Ren, M. Yao, D. Shang, B. Xu, G. Li, SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 7927-7940, Bangkok, Thailand, August 11-16, 2024.
-
X. Qiu, R. J. Zhu, Y. Chou, Z. Wang, L. J. Deng, G. Li, Gated attention coding for training high-performance and efficient spiking neural networks, Proceedings of the AAAI Conference on Artificial Intelligence, pp. 601-610, Vancouver, Canada, Feb. 20-27, 2024.
-
X. Xing, Z. Zhang, Z. Ni, S. Xiao, Y. Ju, S. Fan, Y. Wang, J. Zhang, G. Li, SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms, Forty-first International Conference on Machine Learning (ICML), Vienna, Austria, July 21-27, 2024.
-
J. Hu, M. Yao, X. Qiu, Y. Chou, Y. Cai, N. Qiao, Y. Tian, B. Xu, G. Li, High-performance temporal reversible spiking neural networks with O(L) training memory and O(1) inference cost, Proceedings of the 41st International Conference on Machine Learning(ICML), pp. 19516-19530, Vienna, Austria, July 21-27, 2024.
-
Y. Chou, M. Yao, K. Wang, Y. Pan, R. J. Zhu, J. Wu, Y. Zhang, Y. Qiao, B. Xu, G. Li, Et al., MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map, The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, BC, Canada, December 10-15, 2024.
