Deep Directly-Trained Spiking Neural Networks for Object Detection. - Qiaoyi Su; Yuhong Chou; Yifan Hu; Jianing Li 001; Shijie Mei; Ziyang Zhang; Guoqi Li (ICCV, 2023)

Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network. - Man Yao; Yuhong Chou; Guangshe Zhao; Xiawu Zheng; Yonghong Tian 001; Bo Xu 002; Guoqi Li (CoRR, 2023)

Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks. - Xuerui Qiu; Rui-Jie Zhu 003; Yuhong Chou; Zhaorui Wang 005; Liang-Jian Deng; Guoqi Li (AAAI, 2024)

Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-Performance and Energy-Efficient Object Detection. - Xinhao Luo; Man Yao; Yuhong Chou; Bo Xu 002; Guoqi Li (ECCV (32), 2024)

High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. - Jiakui Hu; Man Yao; Xuerui Qiu; Yuhong Chou; Yuxuan Cai; Ning Qiao; Yonghong Tian 001; Bo Xu 002; Guoqi Li (ICML, 2024)

RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding. - Keming Wu; Man Yao; Yuhong Chou; Xuerui Qiu; Rui Yang; Bo Xu 002; Guoqi Li (ACM Multimedia, 2024)

MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map. - Yuhong Chou; Man Yao; Kexin Wang; Yuqi Pan; Rui-Jie Zhu 003; Jibin Wu; Yiran Zhong; Yu Qiao; Bo Xu 002; Guoqi Li (NeurIPS, 2024)

Scalable Autoregressive Image Generation with Mamba. - Haopeng Li; Jinyue Yang; Kexin Wang; Xuerui Qiu; Yuhong Chou; Xin Li; Guoqi Li (CoRR, 2024)

Efficient 3D Recognition with Event-driven Spike Sparse Convolution. - Xuerui Qiu; Man Yao; Jieyuan Zhang; Yuhong Chou; Ning Qiao; Shibo Zhou; Bo Xu 002; Guoqi Li (AAAI, 2025)

MMDEND: Dendrite-Inspired Multi-Branch Multi-Compartment Parallel Spiking Neuron for Sequence Modeling. - Kexin Wang; Yuhong Chou; Di Shang; Shijie Mei; Jiahong Zhang; Yanbin Huang; Man Yao; Bo Xu 002; Guoqi Li (ACL (1), 2025)

Scaling Spike-Driven Transformer With Efficient Spike Firing Approximation Training. - Man Yao; Xuerui Qiu; Tianxiang Hu; Jiakui Hu; Yuhong Chou; Keyu Tian; Jianxing Liao; Luziwei Leng; Bo Xu 002; Guoqi Li (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

ZeCO: Zero Communication Overhead Sequence Parallelism for Linear Attention. - Yuhong Chou; Zehao Liu; Rui-Jie Zhu 003; Xinyi Wan; Tianjian Li; Congying Chu; Qian Liu; Jibin Wu; Zejun Ma (CoRR, 2025)

A Survey on Latent Reasoning. - Ruijie Zhu 003; Tianhao Peng; Tianhao Cheng; Xingwei Qu; Jinfa Huang; Dawei Zhu; Hao Wang; Kaiwen Xue; Xuanliang Zhang; Yong Shan; Tianle Cai; Taylor Kergan; et al. (CoRR, 2025)

A Systematic Analysis of Hybrid Linear Attention. - Dustin Wang; Rui-Jie Zhu 003; Steven Abreu; Yong Shan; Taylor Kergan; Yuqi Pan; Yuhong Chou; Zheng Li; Ge Zhang 009; Wenhao Huang 001; Jason Eshraghian (CoRR, 2025)

IML-Spikeformer: Input-aware Multi-Level Spiking Transformer for Speech Processing. - Zeyang Song; Shimin Zhang; Yuhong Chou; Jibin Wu; Haizhou Li 001 (CoRR, 2025)

Scaling Linear Attention with Sparse State Expansion. - Yuqi Pan; Yongqi An; Zheng Li; Yuhong Chou; Rui-Jie Zhu 003; Xiaohui Wang; Mingxuan Wang; Jinqiao Wang; Guoqi Li (CoRR, 2025)