Chengting Yu

According to our database, Chengting Yu authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

Go Beyond End-to-End Training: Boosting Greedy Local Learning With Context Supply.

Chengting Yu, Fengzhao Zhang, Hanzhi Ma, Aili Wang, Er-Ping Li

IEEE Trans. Artif. Intell., July, 2025

STI-SNN: A 0.14 GOPS/W/PE Single-Timestep Inference FPGA-based SNN Accelerator with Algorithm and Hardware Co-Design.

Kainan Wang, Chengyi Yang, Chengting Yu, Yee Sin Ang, Bo Wang, Aili Wang

CoRR, June, 2025

Decoupling Dark Knowledge via Block-Wise Logit Distillation for Feature-Level Alignment.

Chengting Yu, Fengzhao Zhang, Ruizhe Chen, Aili Wang, Zuozhu Liu, Shurun Tan, Er-Ping Li

IEEE Trans. Artif. Intell., May, 2025

Efficient Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment.

Chengting Yu, Xiaochen Zhao, Lei Liu, Shu Yang, Gaoang Wang, Erping Li, Aili Wang

CoRR, January, 2025

Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks.

Kairong Yu, Chengting Yu, Tianqing Zhang, Xiaochen Zhao, Shu Yang, Hongwei Wang, Qiang Zhang, Qi Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement.

Shu Yang, Chengting Yu, Lei Liu, Hanzhi Ma, Aili Wang, Erping Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Improving Quantization-aware Training of Low-Precision Network via Block Replacement on Full-Precision Counterpart.

Chengting Yu, Shu Yang, Fengzhao Zhang, Hanzhi Ma, Aili Wang, Er-Ping Li

CoRR, 2024

SDiT: Spiking Diffusion Model with Transformer.

Shu Yang, Hanzhi Ma, Chengting Yu, Aili Wang, Er-Ping Li

CoRR, 2024

Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation.

Chengting Yu, Lei Liu, Gaoang Wang, Erping Li, Aili Wang

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

2023

Knowledge Distillation For Spiking Neural Network.

Fengzhao Zhang, Chengting Yu, Hanzhi Ma, Zheming Gu, Er-Ping Li

Proceedings of the 5th International Conference on Robotics, 2023

A Biological Population Threshold Coding with Robust Feature Extraction and Neuronal Jitter for SNN-based Speech Recognition.

Chen Wang, Chengting Yu, Aili Wang

Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

2022

STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks.

Chengting Yu, Zheming Gu, Da Li, Gaoang Wang, Aili Wang, Erping Li

CoRR, 2022

MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks.

Chengting Yu, Yangkai Du, Mufeng Chen, Aili Wang, Gaoang Wang, Erping Li

CoRR, 2022

2021

Educational Data Mining: Discovering Principal Factors for Better Academic Performance.

Yucheng Jin, Xiaomeng Yang, Chengting Yu, Liangjing Yang

Proceedings of the BDET 2021: The 3rd International Conference on Big Data Engineering and Technology, 2021