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2020 – today
- 2024
[i4]Shu Yang, Hanzhi Ma, Chengting Yu, Aili Wang, Er-Ping Li:
SDiT: Spiking Diffusion Model with Transformer. CoRR abs/2402.11588 (2024)- 2023
- [c3]Chen Wang
, Chengting Yu, Aili Wang:
A Biological Population Threshold Coding with Robust Feature Extraction and Neuronal Jitter for SNN-based Speech Recognition. ICCAI 2023: 459-465 - [c2]Fengzhao Zhang, Chengting Yu, Hanzhi Ma, Zheming Gu, Er-Ping Li:
Knowledge Distillation For Spiking Neural Network. RICAI 2023: 1015-1020 - [i3]Chengting Yu, Fengzhao Zhang, Hanzhi Ma, Aili Wang, Erping Li:
Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply. CoRR abs/2312.07636 (2023) - 2022
- [i2]Chengting Yu, Yangkai Du, Mufeng Chen, Aili Wang, Gaoang Wang, Erping Li:
MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks. CoRR abs/2204.09893 (2022) - [i1]Chengting Yu, Zheming Gu, Da Li, Gaoang Wang, Aili Wang, Erping Li:
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks. CoRR abs/2210.05241 (2022) - 2021
- [c1]Yucheng Jin, Xiaomeng Yang, Chengting Yu, Liangjing Yang:
Educational Data Mining: Discovering Principal Factors for Better Academic Performance. BDET 2021: 1-8
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