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Chengting Yu

4 papers · 2024–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (10)

Venues

CVPR (2) ICML (1) NeurIPS (1)

Top co-authors

Aili Wang (3) Shu Yang (3) Erping Li (3) Lei Liu (3) Xiaochen Zhao (2) Gaoang Wang (2) Kairong Yu (1) Qiang Zhang (1) Tianqing Zhang (1) Qi Xu (1)

Research topics

Deep Learning (4) Machine Learning (4) Architectures (4) Application Areas (3) Artificial Intelligence (2) Core AI (2) Optimization & Theory (2) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Techniques (1)

Keywords

spiking neural network (4) knowledge distillation (3) neural network optimization (1) neuromorphic hardware (1) entropy regularization (1) backpropagation through time (1) surrogate gradient (1) artificial neural network (1) inference efficiency (1) ann-snn conversion (1) logit distillation (1) accuracy degradation (1) temporal separation (1) rate coding (1) block-wise replacement (1) rate-based feature (1) full-range timesteps (1) feature alignment (1) logit-based (1) efficient training (1)

Papers

Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement CVPR 2025 Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment ICML 2025 Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks CVPR 2025 Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation NeurIPS 2024