papers
Publications (3)
cs.CL2025
MoBiLE: Efficient Mixture-of-Experts Inference on Consumer GPU with Mixture of Big Little Experts
Yushu Zhao, Yubin Qin, Yang Wang +5
Mixture-of-Experts (MoE) models have recently demonstrated exceptional performance across a diverse range of applications. The principle of sparse activation in MoE models facilita…
cs.AR2025
From Quarter to All: Accelerating Speculative LLM Decoding via Floating-Point Exponent Remapping and Parameter Sharing
Yushu Zhao, Yubin Qin, Yang Wang +5
Large language models achieve impressive performance across diverse tasks but exhibit high inference latency due to their large parameter sizes. While quantization reduces model si…
cond-mat.mtrl-sci2024
High-Entropy Enhanced Negative Thermal Expansion Perfomance in Antiperovkites
Xiuliang Yuan, Bing Wang, Ying Sun +16
The negative thermal expansion (NTE) materials, which can act as thermal-expansion compensators to counteract the positive thermal expansion, have great applications merit in preci…