Chengting Yu - RankMe

26 papers A* 4A 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Expert Divergence Learning for MoE-based Language Models. CoRR Jiaang Li, Haibin Chen, Langming Liu, Yujin Yuan, Yadao Wang, Yizhen Zhang, Chengting Yu, Xin Tong, Weidong Zhang, Shilei Liu, Wenbo Su, Bo Zheng
2026	J	`jnl`	SpiralFormer: Looped Transformers Can Learn Hierarchical Dependencies via Multi-Resolution Recursion. CoRR Chengting Yu, Xiaobo Shu, Yadao Wang, Yizhen Zhang, Haoyi Wu, You Wu, Rujiao Long, Ziheng Chen, Yuchi Xu, Wenbo Su, Bo Zheng
2025	J	`jnl`	Decoupling Dark Knowledge via Block-Wise Logit Distillation for Feature-Level Alignment. IEEE Trans. Artif. Intell. Chengting Yu, Fengzhao Zhang, Ruizhe Chen, Aili Wang, Zuozhu Liu, Shurun Tan, Er-Ping Li
2025	A*	`conf`	Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement. CVPR Shu Yang, Chengting Yu, Lei Liu, Hanzhi Ma, Aili Wang, Erping Li
2025	J	`jnl`	Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement. CoRR Shu Yang, Chengting Yu, Lei Liu, Hanzhi Ma, Aili Wang, Erping Li
2025	J	`jnl`	Efficient Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment. CoRR Chengting Yu, Xiaochen Zhao, Lei Liu, Shu Yang, Gaoang Wang, Erping Li, Aili Wang
2025	A*	`conf`	Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment. ICML Chengting Yu, Xiaochen Zhao, Lei Liu, Shu Yang, Gaoang Wang, Erping Li, Aili Wang
2025	J	`jnl`	Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training. CoRR Xiaochen Zhao, Chengting Yu, Kairong Yu, Lei Liu, Aili Wang
2025	A	`conf`	Enhancing Learning of Spiking Neural Networks Through Normalization with Time-Based Statistics Estimation. ECAI Lei Liu, Chengting Yu, Kainan Wang, Aili Wang
2025	J	`jnl`	Go Beyond End-to-End Training: Boosting Greedy Local Learning With Context Supply. IEEE Trans. Artif. Intell. Chengting Yu, Fengzhao Zhang, Hanzhi Ma, Aili Wang, Er-Ping Li
2025	J	`jnl`	MeSH: Memory-as-State-Highways for Recursive Transformers. CoRR Chengting Yu, Xiaobo Shu, Yadao Wang, Yizhen Zhang, Haoyi Wu, Jiaang Li, Rujiao Long, Ziheng Chen, Yuchi Xu, Wenbo Su, Bo Zheng
2025	J	`jnl`	NeuBridge: bridging quantized activations and spiking neurons for ANN-SNN conversion. Neuromorph. Comput. Eng. Yuchen Yang, Jingcheng Liu, Chengting Yu, Chengyi Yang, Gaoang Wang, Aili Wang
2025	J	`jnl`	STI-SNN: A 0.14 GOPS/W/PE Single-Timestep Inference FPGA-based SNN Accelerator with Algorithm and Hardware Co-Design. CoRR Kainan Wang, Chengyi Yang, Chengting Yu, Yee Sin Ang, Bo Wang, Aili Wang
2025	A*	`conf`	Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks. CVPR Kairong Yu, Chengting Yu, Tianqing Zhang, Xiaochen Zhao, Shu Yang, Hongwei Wang, Qiang Zhang, Qi Xu
2025	J	`jnl`	Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks. CoRR Kairong Yu, Chengting Yu, Tianqing Zhang, Xiaochen Zhao, Shu Yang, Hongwei Wang, Qiang Zhang, Qi Xu
2024	A*	`conf`	Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation. NeurIPS Chengting Yu, Lei Liu, Gaoang Wang, Erping Li, Aili Wang
2024	J	`jnl`	Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation. CoRR Chengting Yu, Lei Liu, Gaoang Wang, Erping Li, Aili Wang
2024	J	`jnl`	Decoupling Dark Knowledge via Block-wise Logit Distillation for Feature-level Alignment. CoRR Chengting Yu, Fengzhao Zhang, Ruizhe Chen, Aili Wang, Zuozhu Liu, Shurun Tan, Er-Ping Li
2024	J	`jnl`	Improving Quantization-aware Training of Low-Precision Network via Block Replacement on Full-Precision Counterpart. CoRR Chengting Yu, Shu Yang, Fengzhao Zhang, Hanzhi Ma, Aili Wang, Er-Ping Li
2024	J	`jnl`	SDiT: Spiking Diffusion Model with Transformer. CoRR Shu Yang, Hanzhi Ma, Chengting Yu, Aili Wang, Er-Ping Li
2023	—	`conf`	A Biological Population Threshold Coding with Robust Feature Extraction and Neuronal Jitter for SNN-based Speech Recognition. ICCAI Chen Wang, Chengting Yu, Aili Wang
2023	J	`jnl`	Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply. CoRR Chengting Yu, Fengzhao Zhang, Hanzhi Ma, Aili Wang, Erping Li
2023	—	`conf`	Knowledge Distillation For Spiking Neural Network. RICAI Fengzhao Zhang, Chengting Yu, Hanzhi Ma, Zheming Gu, Er-Ping Li
2022	J	`jnl`	MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks. CoRR Chengting Yu, Yangkai Du, Mufeng Chen, Aili Wang, Gaoang Wang, Erping Li
2022	J	`jnl`	STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks. CoRR Chengting Yu, Zheming Gu, Da Li, Gaoang Wang, Aili Wang, Erping Li
2021	—	`conf`	Educational Data Mining: Discovering Principal Factors for Better Academic Performance. BDET Yucheng Jin, Xiaomeng Yang, Chengting Yu, Liangjing Yang