3 papers
cs.AI2026
FlexEE: Self-Speculative and KV-Compatible Early Exiting for Offloading-Aware LLM Inference
Qihu Xie, Ziwei Li, Yi Kang
Large language model (LLM) inference is often constrained by both computation and memory, especially in offloading-based deployments where model weights are transferred across memo…
cs.LG2026
SLaB: Sparse-Lowrank-Binary Decomposition for Efficient Large Language Models
Ziwei Li, Yuang Ma, Yi Kang
The rapid growth of large language models (LLMs) presents significant deployment challenges due to their massive computational and memory demands. While model compression, such as…
cs.LG2025
SBS: Enhancing Parameter-Efficiency of Neural Representations for Neural Networks via Spectral Bias Suppression
Qihu Xie, Yuan Li, Yi Kang
Implicit neural representations have recently been extended to represent convolutional neural network weights via neural representation for neural networks, offering promising para…