3 papers
cs.DC2025
Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism
Jinhui Wei, Ye Huang, Yuhui Zhou +3
In-situ LLM inference on end-user devices has gained significant interest due to its privacy benefits and reduced dependency on external infrastructure. However, as the decoding pr…
cs.CV2024
SSR: SAM is a Strong Regularizer for domain adaptive semantic segmentation
Yanqi Ge, Ye Huang, Wen Li +1
We introduced SSR, which utilizes SAM (segment-anything) as a strong regularizer during training, to greatly enhance the robustness of the image encoder for handling various domain…
cs.CV2023
CARD: Semantic Segmentation with Efficient Class-Aware Regularized Decoder
Ye Huang, Di Kang, Liang Chen +5
Semantic segmentation has recently achieved notable advances by exploiting "class-level" contextual information during learning. However, these approaches simply concatenate class-…