Chenlin Zhou

According to our database, Chenlin Zhou authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

S²M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection.

Jiaqi Wang, Zhengyu Ma, Xiongri Shen, Chenlin Zhou, Leilei Zhao, Han Zhang, Yi Zhong, Siqi Cai, Zhenxi Song, Zhiguo Zhang

CoRR, August, 2025

E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer.

Yunhao Ma, Yanyu Lin, Mingjing Li, Puli Quan, Chenlin Zhou, Wenyue Zhang, Zhiwei Zhong, Wanyi Jia, Xueke Zhu, Qingyan Meng, Huihui Zhou, Fengwei An

CoRR, August, 2025

A Survey of Context Engineering for Large Language Models.

Lingrui Mei, Jiayu Yao, Yuyao Ge, Yiwei Wang, Baolong Bi, Yujun Cai, Jiazhi Liu, Mingyu Li, Zhong-Zhi Li, Duzhen Zhang, Chenlin Zhou, Jiayi Mao, Tianze Xia, Jiafeng Guo, Shenghua Liu

CoRR, July, 2025

MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion.

Wei Hua, Chenlin Zhou, Jibin Wu, Yansong Chua, Yangyang Shu

CoRR, May, 2025

2024

Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation.

Jiaqi Wang, Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhenxi Song, Min Zhang, Zhengyu Ma, Zhiguo Zhang

CoRR, 2024

SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition.

Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian

CoRR, 2024

Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods.

Chenlin Zhou, Han Zhang, Liutao Yu, Yumin Ye, Zhaokun Zhou, Liwei Huang, Zhengyu Ma, Xiaopeng Fan, Huihui Zhou, Yonghong Tian

CoRR, 2024

QKFormer: Hierarchical Spiking Transformer using Q-K Attention.

Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation.

Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Zhengyu Ma, Huihui Zhou, Xiaopeng Fan, Yonghong Tian

CoRR, 2023

Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network.

Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian

CoRR, 2023

Learning Tri-mode Grasping for Ambidextrous Robot Picking.

Chenlin Zhou, Peng Wang, Wei Wei, Guangyun Xu, Fuyu Li, Jia Sun

CoRR, 2023

2021

ACR-Net: Attention Integrated and Cross-Spatial Feature Fused Rotation Network for Tubular Solder Joint Detection.

Chenlin Zhou, Daheng Li, Peng Wang, Jia Sun, Yikun Huang, Wanyi Li

IEEE Trans. Instrum. Meas., 2021

ADEL: Autonomous Developmental Evolutionary Learning for Robotic Manipulation.

Yiming Li, Peng Wang, Xiaofei Shen, Jiayuan Liu, Haonan Duan, Chenlin Zhou

Proceedings of the IEEE International Conference on Development and Learning, 2021