Xuan Shen

6

Papers

30

Total Citations

Papers (6)

Numerical Pruning for Efficient Autoregressive Models

Sparse Learning for State Space Models on Mobile

QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers

Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge