Educational Data Mining: Discovering Principal Factors for Better Academic Performance. - Yucheng Jin; Xiaomeng Yang; Chengting Yu; Liangjing Yang (BDET, 2021)

MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks. - Chengting Yu; Yangkai Du; Mufeng Chen; Aili Wang 002; Gaoang Wang; Erping Li 001 (CoRR, 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 002; Erping Li 001 (CoRR, 2022)

A Biological Population Threshold Coding with Robust Feature Extraction and Neuronal Jitter for SNN-based Speech Recognition. - Chen Wang 121; Chengting Yu; Aili Wang 002 (ICCAI, 2023)

Knowledge Distillation For Spiking Neural Network. - Fengzhao Zhang; Chengting Yu; Hanzhi Ma; Zheming Gu; Er-Ping Li 001 (RICAI, 2023)

Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation. - Chengting Yu; Lei Liu; Gaoang Wang; Erping Li 001; Aili Wang 002 (NeurIPS, 2024)

SDiT: Spiking Diffusion Model with Transformer. - Shu Yang; Hanzhi Ma; Chengting Yu; Aili Wang 002; Er-Ping Li 001 (CoRR, 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 002; Er-Ping Li 001 (CoRR, 2024)

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 002; Erping Li 001 (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 (CVPR, 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 001; Aili Wang 002 (CoRR, 2025)

Decoupling Dark Knowledge via Block-Wise Logit Distillation for Feature-Level Alignment. - Chengting Yu; Fengzhao Zhang; Ruizhe Chen; Aili Wang 002; Zuozhu Liu; Shurun Tan; Er-Ping Li 001 (IEEE Trans. Artif. Intell., 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, 2025)

Go Beyond End-to-End Training: Boosting Greedy Local Learning With Context Supply. - Chengting Yu; Fengzhao Zhang; Hanzhi Ma; Aili Wang 002; Er-Ping Li 001 (IEEE Trans. Artif. Intell., 2025)