ADEL: Autonomous Developmental Evolutionary Learning for Robotic Manipulation. - Yiming Li; Peng Wang 024; Xiaofei Shen; Jiayuan Liu; Haonan Duan 001; Chenlin Zhou (ICDL, 2021)

ACR-Net: Attention Integrated and Cross-Spatial Feature Fused Rotation Network for Tubular Solder Joint Detection. - Chenlin Zhou; Daheng Li; Peng Wang 024; Jia Sun; Yikun Huang; Wanyi Li (IEEE Trans. Instrum. Meas., 2021)

Learning Tri-mode Grasping for Ambidextrous Robot Picking. - Chenlin Zhou; Peng Wang; Wei Wei; Guangyun Xu; Fuyu Li; Jia Sun (CoRR, 2023)

Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network. - Chenlin Zhou; Liutao Yu; Zhaokun Zhou; Han Zhang 025; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (CoRR, 2023)

Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation. - Chenlin Zhou; Han Zhang 025; Zhaokun Zhou; Liutao Yu; Zhengyu Ma; Huihui Zhou; Xiaopeng Fan; Yonghong Tian 001 (CoRR, 2023)

QKFormer: Hierarchical Spiking Transformer using Q-K Attention. - Chenlin Zhou; Han Zhang 025; Zhaokun Zhou; Liutao Yu; Liwei Huang; Xiaopeng Fan; Li Yuan 007; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (NeurIPS, 2024)

Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods. - Chenlin Zhou; Han Zhang 025; Liutao Yu; Yumin Ye; Zhaokun Zhou; Liwei Huang; Zhengyu Ma; Xiaopeng Fan; Huihui Zhou; Yonghong Tian 001 (CoRR, 2024)

SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition. - Liutao Yu; Liwei Huang; Chenlin Zhou; Han Zhang 025; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (CoRR, 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)

MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion. - Wei Hua; Chenlin Zhou; Jibin Wu; Yansong Chua; Yangyang Shu (CoRR, 2025)

A Survey of Context Engineering for Large Language Models. - Lingrui Mei; Jiayu Yao; Yuyao Ge; Yiwei Wang 001; Baolong Bi; Yujun Cai; Jiazhi Liu; Mingyu Li; Zhong-Zhi Li; Duzhen Zhang; Chenlin Zhou; Jiayi Mao; et al. (CoRR, 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, 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, 2025)