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ORCIDChenlin Zhou
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2020 – today
- 2026
[j3]Yunhao Ma
, Yanyu Lin, Mingjing Li, Puli Quan, Chenlin Zhou, Wanyi Jia, Xueke Zhu, Qingyan Meng, Huihui Zhou, Fengwei An:
An energy-efficient spike-aware training architecture for spiking transformers. Microelectron. J. 172: 107136 (2026)- [j2]Jiaqi Wang, Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhenxi Song, Honghai Liu, Min Zhang, Zhengyu Ma, Zhiguo Zhang:
Efficient speech command recognition leveraging spiking neural networks and progressive time-scaled curriculum distillation. Neural Networks 195: 108253 (2026) - [c5]Jiaqi Wang, Liutao Yu, Xiongri Shen, Sihang Guo, Chenlin Zhou, Leilei Zhao, Yi Zhong, Zhiguo Zhang, Zhengyu Ma:
SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition. AAAI 2026: 2119-2127 - [c4]Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Jiaqi Wang, Huihui Zhou, Zhengyu Ma, Yonghong Tian:
Spikingformer: A Key Foundation Model for Spiking Neural Networks. AAAI 2026: 2236-2244 - [i15]Chenlin Zhou, Sihang Guo, Jiaqi Wang, Dongyang Ma, Kaiwei Che, Baiyu Chen, Qingyan Meng, Zhengyu Ma, Yonghong Tian:
Winner-Take-All Spiking Transformer for Language Modeling. CoRR abs/2604.11321 (2026) - [i14]Chenlin Zhou, Sihang Guo, Jiaqi Wang, Dongyang Ma, Jin Cheng, Qingyan Meng, Zhengyu Ma, Yonghong Tian:
Adaptive Spiking Neurons for Vision and Language Modeling. CoRR abs/2604.12365 (2026) - [i13]Sihang Guo, Chenlin Zhou, Jiaqi Wang, Kehai Chen, Qingyan Meng, Zhengyu Ma:
BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation. CoRR abs/2605.13859 (2026) - 2025
- [c3]Wei Hua, Chenlin Zhou, Jibin Wu, Yansong Chua, Yangyang Shu:
MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion. IJCAI 2025: 5399-5407 - [i12]Wei Hua, Chenlin Zhou, Jibin Wu, Yansong Chua, Yangyang Shu:
MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion. CoRR abs/2505.14719 (2025) - [i11]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:
A Survey of Context Engineering for Large Language Models. CoRR abs/2507.13334 (2025) - [i10]Yunhao Ma, Yanyu Lin, Mingjing Li, Puli Quan, Chenlin Zhou, Wenyue Zhang, Zhiwei Zhong, Wanyi Jia, Xueke Zhu, Qingyan Meng, Huihui Zhou, Fengwei An:
E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer. CoRR abs/2508.00475 (2025) - [i9]Jiaqi Wang, Zhengyu Ma, Xiongri Shen, Chenlin Zhou, Leilei Zhao, Han Zhang, Yi Zhong, Siqi Cai, Zhenxi Song, Zhiguo Zhang:
S2M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection. CoRR abs/2508.05164 (2025) - [i8]Jiaqi Wang, Liutao Yu, Xiongri Shen, Sihang Guo, Chenlin Zhou, Leilei Zhao, Yi Zhong, Zhengyu Ma, Zhiguo Zhang:
SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition. CoRR abs/2511.07883 (2025) - 2024
- [c2]Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian:
QKFormer: Hierarchical Spiking Transformer using Q-K Attention. NeurIPS 2024 - [i7]Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian:
QKFormer: Hierarchical Spiking Transformer using Q-K Attention. CoRR abs/2403.16552 (2024) - [i6]Chenlin Zhou, Han Zhang, Liutao Yu, Yumin Ye, Zhaokun Zhou, Liwei Huang, Zhengyu Ma, Xiaopeng Fan, Huihui Zhou, Yonghong Tian:
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods. CoRR abs/2405.04289 (2024) - [i5]Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian:
SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition. CoRR abs/2406.15034 (2024) - [i4]Jiaqi Wang, Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhenxi Song, Min Zhang, Zhengyu Ma, Zhiguo Zhang:
Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation. CoRR abs/2412.12858 (2024) - 2023
- [i3]Chenlin Zhou, Peng Wang, Wei Wei, Guangyun Xu, Fuyu Li, Jia Sun:
Learning Tri-mode Grasping for Ambidextrous Robot Picking. CoRR abs/2302.06431 (2023) - [i2]Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian:
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network. CoRR abs/2304.11954 (2023) - [i1]Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Zhengyu Ma, Huihui Zhou, Xiaopeng Fan, Yonghong Tian:
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation. CoRR abs/2305.05954 (2023) - 2021
- [j1]Chenlin Zhou, Daheng Li, Peng Wang, Jia Sun, Yikun Huang, Wanyi Li:
ACR-Net: Attention Integrated and Cross-Spatial Feature Fused Rotation Network for Tubular Solder Joint Detection. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [c1]Yiming Li, Peng Wang, Xiaofei Shen, Jiayuan Liu, Haonan Duan, Chenlin Zhou:
ADEL: Autonomous Developmental Evolutionary Learning for Robotic Manipulation. ICDL 2021: 1-8
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