Cui, Heming

7 publications

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

CoRL 2025 GraspVLA: A Grasping Foundation Model Pre-Trained on Billion-Scale Synthetic Action Data Shengliang Deng, Mi Yan, Songlin Wei, Haixin Ma, Yuxin Yang, Jiayi Chen, Zhiqi Zhang, Taoyu Yang, Xuheng Zhang, Heming Cui, Zhizheng Zhang, He Wang

NeurIPS 2024 Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, Hongyang Li

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

ICCV 2023 Towards Building More Robust Models with Frequency Bias Qingwen Bu, Dong Huang, Heming Cui