Ruihao Gong

16

Papers

0

Total Citations

Papers (16)

AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models

Compressing Large Language Models by Joint Sparsification and Quantization

Forward and Backward Information Retention for Accurate Binary Neural Networks

Towards Unified INT8 Training for Convolutional Neural Network

Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition

Diversifying Sample Generation for Accurate Data-Free Quantization

Annealing-Based Label-Transfer Learning for Open World Object Detection

Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization

Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks

MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing

Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search

Lossy and Lossless (L2) Post-training Model Size Compression

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models