Yukun Shi — accepted AI-conference papers

2026

Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification

Meiting Xue, Miaoqi Li, Yukun Shi, Yan Zeng, Jilin Zhang, Jing Ma

AAAI 2026technical

In medical image classification, data privacy constraints and the high cost of expert annotations pose significant challenges to building generalizable models. Federated semi-supervised learning (FSSL), which combines the privacy-preserving nature of federated learning with the label efficiency of s

Cited by 0 Source ↗PDF ↗Scholar ↗

2026

LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding

Gang Lin, Dongfang Li, Zhuoen Chen, Yukun Shi, Xuhui Chen, Baotian Hu +1

ICLR 2026poster

The proliferation of long-context large language models (LLMs) exposes a key bottleneck: the rapidly expanding key-value cache during decoding, which imposes heavy memory and latency costs. While recent approaches attempt to alleviate this by sharing a single set of crucial tokens across layers, suc…

Cited by 0 Source ↗Scholar ↗