Yuhao QING

PhD student, The University of Hong Kong

Joined

September 2021

Names

Yuhao QING (Preferred)

Emails

****@cs.hku.hk (Confirmed)

****@connect.hku.hk (Confirmed)

Personal Links

Google Scholar

Career & Education History

PhD student

The University of Hong Kong (hku.hk)

2021 – Present

Advisors, Relations & Conflicts

PhD Advisor

Heming Cui

2021 – Present

Expertise

No areas of expertise listed

Publications

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
- ICML 2025 Workshop PRAL
- Readers: Everyone
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
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
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 poster
- Readers: Everyone
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
- ICML 2025 poster
- Readers: Everyone
Effi-Code: Unleashing Code Efficiency in Language Models
Dong HUANG, Guangtao Zeng, Jianbo Dai, Meng Luo, Han Weng, Yuhao QING, Heming Cui, Zhijiang Guo, Jie Zhang
- Submitted to ICLR 2025
- Readers: Everyone
EffiBench: Benchmarking the Efficiency of Automatically Generated Code
Dong HUANG, Yuhao QING, Weiyi Shang, Heming Cui, Jie Zhang
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
Dong HUANG, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao QING, Heming Cui, Zhijiang Guo, Jie Zhang
- NeurIPS 2024 poster
- Readers: Everyone
AMPipe: Accelerating MoE Model Training with Intra-Block Pipelining
Yichao Fu, Yuhao QING, Shixiong Zhao, Fanxin Li, Bocheng Xiao, Dong HUANG, Heming Cui
- Submitted to ICLR 2024
- Readers: Everyone
Neural Architecture Search via Ensemble-based Knowledge Distillation
Fanxin Li, Shixiong Zhao, Haowen Pi, Yuhao QING, Yichao Fu, Sen Wang, Heming Cui
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone

Co-Authors

View all 28 co-authors