Yuebo Luo

According to our database, Yuebo Luo authored at least 7 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CUDAHercules: Benchmarking Hardware-Aware Expert-level CUDA Optimization for LLMs.

Shiyang Li, Zijian Zhang, Guangyan Sun, Yuebo Luo, Winson Chen, Yanzhi Wang, Mingyi Hong, Caiwen Ding

CoRR, May, 2026

GSR-GNN: Training Acceleration and Memory-Saving Framework of Deep GNNs on Circuit Graph.

Yuebo Luo, Shiyang Li, Yifei Feng, Vishal Kancharla, Shaoyi Huang, Caiwen Ding

CoRR, March, 2026

StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning.

Shiyang Li, Zijian Zhang, Winson Chen, Yuebo Luo, Mingyi Hong, Caiwen Ding

CoRR, March, 2026

2025

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization.

Zijian Zhang, Rong Wang, Shiyang Li, Yuebo Luo, Mingyi Hong, Caiwen Ding

CoRR, November, 2025

DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs.

Yuebo Luo, Shiyang Li, Junran Tao, Kiran Gautam Thorat, Xi Xie, Hongwu Peng, Nuo Xu, Caiwen Ding, Shaoyi Huang

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs.

Xi Xie, Yuebo Luo, Hongwu Peng, Caiwen Ding

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GROOT: Graph Edge Re-growth and Partitioning for the Verification of Large Designs in Logic Synthesis.

Kiran Thorat, Hongwu Peng, Yuebo Luo, Xi Xie, Shaoyi Huang, Amit Hasan, Jiahui Zhao, Yingjie Li, Zhijie Shi, Cunxi Yu, Caiwen Ding

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025