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Yuhong Chou
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2020 – today
- 2024
- [c6]Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-Jian Deng, Guoqi Li:
Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks. AAAI 2024: 601-610 - [c5]Xinhao Luo
, Man Yao
, Yuhong Chou
, Bo Xu
, Guoqi Li
:
Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-Performance and Energy-Efficient Object Detection. ECCV (32) 2024: 253-272 - [c4]Jiakui Hu, Man Yao
, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li:
High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. ICML 2024 - [c3]Keming Wu
, Man Yao
, Yuhong Chou
, Xuerui Qiu
, Rui Yang
, Bo Xu
, Guoqi Li
:
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding. ACM Multimedia 2024: 2748-2756 - [c2]Yuhong Chou, Man Yao, Kexin Wang, Yuqi Pan, Rui-Jie Zhu, Jibin Wu, Yiran Zhong, Yu Qiao, Bo Xu, Guoqi Li:
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map. NeurIPS 2024 - [i10]Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li:
High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. CoRR abs/2405.16466 (2024) - [i9]Keming Wu, Man Yao, Yuhong Chou, Xuerui Qiu, Rui Yang, Bo Xu, Guoqi Li:
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding. CoRR abs/2407.20099 (2024) - [i8]Xinhao Luo, Man Yao, Yuhong Chou, Bo Xu, Guoqi Li:
Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection. CoRR abs/2407.20708 (2024) - [i7]Haopeng Li, Jinyue Yang, Kexin Wang, Xuerui Qiu, Yuhong Chou, Xin Li, Guoqi Li:
Scalable Autoregressive Image Generation with Mamba. CoRR abs/2408.12245 (2024) - [i6]Yuhong Chou, Man Yao, Kexin Wang, Yuqi Pan, Rui-Jie Zhu, Yiran Zhong, Yu Qiao, Jibin Wu, Bo Xu, Guoqi Li:
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map. CoRR abs/2411.10741 (2024) - [i5]Man Yao, Xuerui Qiu, Tianxiang Hu, Jiakui Hu, Yuhong Chou, Keyu Tian, Jianxing Liao, Luziwei Leng, Bo Xu, Guoqi Li:
Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training. CoRR abs/2411.16061 (2024) - [i4]Xuerui Qiu, Man Yao, Jieyuan Zhang, Yuhong Chou, Ning Qiao, Shibo Zhou, Bo Xu, Guoqi Li:
Efficient 3D Recognition with Event-driven Spike Sparse Convolution. CoRR abs/2412.07360 (2024) - 2023
- [c1]Qiaoyi Su, Yuhong Chou, Yifan Hu, Jianing Li, Shijie Mei, Ziyang Zhang, Guoqi Li:
Deep Directly-Trained Spiking Neural Networks for Object Detection. ICCV 2023: 6532-6542 - [i3]Man Yao, Yuhong Chou, Guangshe Zhao, Xiawu Zheng, Yonghong Tian, Bo Xu, Guoqi Li:
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network. CoRR abs/2305.12148 (2023) - [i2]Qiaoyi Su, Yuhong Chou, Yifan Hu, Jianing Li, Shijie Mei, Ziyang Zhang, Guoqi Li:
Deep Directly-Trained Spiking Neural Networks for Object Detection. CoRR abs/2307.11411 (2023) - [i1]Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-Jian Deng, Guoqi Li:
Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks. CoRR abs/2308.06582 (2023)
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