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

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)

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)

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)