Chengting Yu

According to our database, Chengting Yu authored at least 23 papers between 2021 and 2026.

Collaborative distances:

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

2026

STISA: A 0.16-GOPS/W/PE Single-Shot Inference FPGA-Based SNN Accelerator With Algorithm and Hardware Co-Design.

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

IEEE Trans. Circuits Syst. I Regul. Pap., May, 2026

YOCO++: Enhancing YOCO with KV Residual Connections for Efficient LLM Inference.

You Wu, Ziheng Chen, Yizhen Zhang, Haoyi Wu, Chengting Yu, Yuchi Xu, Wenbo Su, Bo Zheng, Kewei Tu

CoRR, April, 2026

Expert Divergence Learning for MoE-based Language Models.

Jiaang Li, Haibin Chen, Langming Liu, Yujin Yuan, Yadao Wang, Yizhen Zhang, Chengting Yu, Xin Tong, Weidong Zhang, Shilei Liu, Wenbo Su, Bo Zheng

CoRR, March, 2026

SpiralFormer: Looped Transformers Can Learn Hierarchical Dependencies via Multi-Resolution Recursion.

Chengting Yu, Xiaobo Shu, Yadao Wang, Yizhen Zhang, Haoyi Wu, You Wu, Rujiao Long, Ziheng Chen, Yuchi Xu, Wenbo Su, Bo Zheng

CoRR, February, 2026

2025

MeSH: Memory-as-State-Highways for Recursive Transformers.

Chengting Yu, Xiaobo Shu, Yadao Wang, Yizhen Zhang, Haoyi Wu, Jiaang Li, Rujiao Long, Ziheng Chen, Yuchi Xu, Wenbo Su, Bo Zheng

CoRR, October, 2025

Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training.

Xiaochen Zhao, Chengting Yu, Kairong Yu, Lei Liu, Aili Wang

CoRR, October, 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

NeuBridge: bridging quantized activations and spiking neurons for ANN-SNN conversion.

Yuchen Yang, Jingcheng Liu, Chengting Yu, Chengyi Yang, Gaoang Wang, Aili Wang

Neuromorph. Comput. Eng., 2025

Efficient Logit-based Knowledge 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Enhancing Learning of Spiking Neural Networks Through Normalization with Time-Based Statistics Estimation.

Lei Liu, Chengting Yu, Kainan Wang, Aili Wang

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 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 37: 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