Yu, Chengting

7 publications

ICLR 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

ICLR 2026 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

CVPR 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

ICML 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

NeurIPS 2025 Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training Xiaochen Zhao, Chengting Yu, Kairong Yu, Lei Liu, Aili Wang

CVPR 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

NeurIPS 2024 Advancing Training Efficiency of Deep Spiking Neural Networks Through Rate-Based Backpropagation Chengting Yu, Lei Liu, Gaoang Wang, Erping Li, Aili Wang