Qing, Yuhao

6 publications

NeurIPS 2025 Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization Mingzhe Du, Anh Tuan Luu, Yue Liu, Yuhao Qing, Dong Huang, Xinyi He, Qian Liu, Zejun Ma, See-Kiong Ng

NeurIPS 2025 EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code Yuhao Qing, Boyu Zhu, Mingzhe Du, Zhijiang Guo, Terry Yue Zhuo, Qianru Zhang, Jie M. Zhang, Heming Cui, Siu Ming Yiu, Dong Huang, See-Kiong Ng, Anh Tuan Luu

ICML 2025 EffiCoder: Enhancing Code Generation in Large Language Models Through Efficiency-Aware Fine-Tuning Dong Huang, Guangtao Zeng, Jianbo Dai, Meng Luo, Han Weng, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie Zhang

AAAI 2025 Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation Yuhao Qing, Dan Zeng, Shaorong Xie, Kaer Huang, Yueying Wang

NeurIPS 2024 EffiBench: Benchmarking the Efficiency of Automatically Generated Code Dong Huang, Yuhao Qing, Weiyi Shang, Heming Cui, Jie M. Zhang

NeurIPS 2024 EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization Dong Huang, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie M. Zhang