Kuihua Huang — accepted AI-conference papers

2025

LLM-PySC2: Starcraft II learning environment for Large Language Models

Zongyuan Li, Yanan Ni, Runnan Qi, Chang Lu, Lumin Jiang, Xu Xiaojie +9

NeurIPS 2025poster

The tremendous potential has been demonstrated by large language models (LLMs) in intelligent decision-making problems, with unprecedented capabilities shown across diverse applications ranging from gaming AI systems to complex strategic planning frameworks. However, the StarCraft II platform, which…

Cited by 0 Source ↗code ↗Scholar ↗

2024

Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation

Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang +2

CVPR 2024poster

Dataset distillation has emerged as a promising approach in deep learning enabling efficient training with small synthetic datasets derived from larger real ones. Particularly distribution matching-based distillation methods attract attention thanks to its effectiveness and low computational cost. H…

Cited by 15 Source ↗PDF ↗code ↗Scholar ↗