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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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K. Wu, M. Yao, Y. Chou,X. Qiu, R. Yang, B. Xu, G. Li, RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding, Proceedings of the 32nd ACM International Conference on Multimedia, pp. 2748-2756, Melbourne, VIC, Australia, Oct. 28 - Nov. 1, 2024.
