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Yuhong Chou
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2020 – today
- 2025
[j1]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. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 2973-2990 (2025)
[c8]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. AAAI 2025: 20086-20094
[c7]Kexin Wang, Yuhong Chou, Di Shang, Shijie Mei, Jiahong Zhang, Yanbin Huang, Man Yao, Bo Xu, Guoqi Li:
MMDEND: Dendrite-Inspired Multi-Branch Multi-Compartment Parallel Spiking Neuron for Sequence Modeling. ACL (1) 2025: 27459-27470
[i16]Yuhong Chou, Zehao Liu, Rui-Jie Zhu, Xinyi Wan, Tianjian Li, Congying Chu, Qian Liu, Jibin Wu, Zejun Ma:
ZeCO: Zero Communication Overhead Sequence Parallelism for Linear Attention. CoRR abs/2507.01004 (2025)
[i15]Ruijie Zhu, Tianhao Peng, Tianhao Cheng, Xingwei Qu, Jinfa Huang, Dawei Zhu, Hao Wang, Kaiwen Xue, Xuanliang Zhang, Yong Shan, Tianle Cai, Taylor Kergan, Assel Kembay, Andrew Smith, Chenghua Lin, Binh Nguyen, Yuqi Pan, Yuhong Chou, Zefan Cai, Zhenhe Wu, Yongchi Zhao, Tianyu Liu, Jian Yang, Wangchunshu Zhou, Chujie Zheng, Chongxuan Li, Yuyin Zhou, Zhoujun Li, Zhaoxiang Zhang, Jiaheng Liu, Ge Zhang, Wenhao Huang, Jason Eshraghian:
A Survey on Latent Reasoning. CoRR abs/2507.06203 (2025)
[i14]Dustin Wang
, Rui-Jie Zhu, Steven Abreu, Yong Shan, Taylor Kergan, Yuqi Pan, Yuhong Chou, Zheng Li, Ge Zhang, Wenhao Huang, Jason Eshraghian:
A Systematic Analysis of Hybrid Linear Attention. CoRR abs/2507.06457 (2025)
[i13]Zeyang Song, Shimin Zhang, Yuhong Chou, Jibin Wu, Haizhou Li:
IML-Spikeformer: Input-aware Multi-Level Spiking Transformer for Speech Processing. CoRR abs/2507.07396 (2025)
[i12]Yuqi Pan, Yongqi An, Zheng Li, Yuhong Chou, Rui-Jie Zhu, Xiaohui Wang, Mingxuan Wang, Jinqiao Wang, Guoqi Li:
Scaling Linear Attention with Sparse State Expansion. CoRR abs/2507.16577 (2025)
[i11]Yuqi Pan, Yupeng Feng, Jinghao Zhuang, Siyu Ding, Zehao Liu, Bohan Sun, Yuhong Chou, Han Xu, Xuerui Qiu, Anlin Deng, Anjie Hu, Peng Zhou, Man Yao, Jibin Wu, Jian Yang, Guoliang Sun, Bo Xu, Guoqi Li:
SpikingBrain Technical Report: Spiking Brain-inspired Large Models. CoRR abs/2509.05276 (2025)- 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)
Coauthor Index

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last updated on 2025-11-27 06:46 CET by the dblp team
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