Yuhao Qing

According to our database, Yuhao Qing authored at least 26 papers between 2021 and 2025.

Collaborative distances:

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

2025

PipeMesh: Achieving Memory-Efficient Computation-Communication Overlap for Training Large Language Models.

Fanxin Li, Shixiong Zhao, Yuhao Qing, Jianyu Jiang, Xusheng Chen, Heming Cui

IEEE Trans. Parallel Distributed Syst., September, 2025

RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing.

Zekai Sun, Xiuxian Guan, Zheng Lin, Yuhao Qing, Haoze Song, Zihan Fang, Zhe Chen, Fangming Liu, Heming Cui, Wei Ni, Jun Luo

CoRR, July, 2025

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization.

Mingzhe Du, Luu Tuan Tuan, Yue Liu, Yuhao Qing, Dong Huang, Xinyi He, Qian Liu, Zejun Ma, See-Kiong Ng

CoRR, May, 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, Luu Anh Tuan

CoRR, May, 2025

Unformer: A Transformer-Based Approach for Adaptive Multiscale Feature Aggregation in Underwater Image Enhancement.

Yuhao Qing, Yueying Wang, Huaicheng Yan, Xiangpeng Xie, Zhengguang Wu

IEEE Trans. Artif. Intell., April, 2025

Hecate: Unlocking Efficient Sparse Model Training via Fully Sharded Sparse Data Parallelism.

Yuhao Qing, Guichao Zhu, Fanxin Li, Lintian Lei, Zekai Sun, Xiuxian Guan, Shixiong Zhao, Xusheng Chen, Dong Huang, Sen Wang, Heming Cui

CoRR, February, 2025

DiffUIE: Learning Latent Global Priors in Diffusion Models for Underwater Image Enhancement.

Yuhao Qing, Si Liu, Hai Wang, Yueying Wang

IEEE Trans. Multim., 2025

LCS4: Linear Complexity State-Space Transformers With Multiscale Overlapping Scans for Efficient Semantic Segmentation.

Yueying Wang, Yuhao Qing, Zhijun Fang, Xudong Zhao

IEEE Trans. Instrum. Meas., 2025

FoldMoE: Efficient Long Sequence MoE Training via Attention-MoE Pipelining.

Guichao Zhu, Lintian Lei, Yuhao Qing, Yichao Fu, Fanxin Li, Dong Huang, Zekai Sun, Heming Cui

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation.

Yuhao Qing, Dan Zeng, Shaorong Xie, Kaer Huang, Yueying Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Neuron Sensitivity-Guided Test Case Selection.

Dong Huang, Qingwen Bu, Yichao Fu, Yuhao Qing, Xiaofei Xie, Junjie Chen, Heming Cui

ACM Trans. Softw. Eng. Methodol., September, 2024

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 M. Zhang

CoRR, 2024

Hybrid-Parallel: Achieving High Performance and Energy Efficient Distributed Inference on Robots.

Zekai Sun, Xiuxian Guan, Junming Wang, Haoze Song, Yuhao Qing, Tianxiang Shen, Dong Huang, Fangming Liu, Heming Cui

CoRR, 2024

SOAP: Enhancing Efficiency of Generated Code via Self-Optimization.

Dong Huang, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Jie M. Zhang, Heming Cui, Zhijiang Guo

CoRR, 2024

EffiBench: Benchmarking the Efficiency of Automatically Generated Code.

Dong Huang, Jie M. Zhang, Yuhao Qing, Heming Cui

CoRR, 2024

EffiBench: Benchmarking the Efficiency of Automatically Generated Code.

Dong Huang, Yuhao Qing, Weiyi Shang, Heming Cui, Jie Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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 Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Fold3D: Rethinking and Parallelizing Computational and Communicational Tasks in the Training of Large DNN Models.

Fanxin Li, Shixiong Zhao, Yuhao Qing, Xusheng Chen, Xiuxian Guan, Sen Wang, Gong Zhang, Heming Cui

IEEE Trans. Parallel Distributed Syst., May, 2023

Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing.

Dong Huang, Qingwen Bu, Yichao Fu, Yuhao Qing, Bocheng Xiao, Heming Cui

CoRR, 2023

2022

vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training.

Shixiong Zhao, Fanxin Li, Xusheng Chen, Xiuxian Guan, Jianyu Jiang, Dong Huang, Yuhao Qing, Sen Wang, Peng Wang, Gong Zhang, Cheng Li, Ping Luo, Heming Cui

IEEE Trans. Parallel Distributed Syst., 2022

Multiscale Feature Fusion Network Incorporating 3D Self-Attention for Hyperspectral Image Classification.

Yuhao Qing, Quanzhen Huang, Liuyan Feng, Yueyan Qi, Wenyi Liu

Remote. Sens., 2022

Two Heads are Better than One: Robust Learning Meets Multi-branch Models.

Dong Huang, Qingwen Bu, Yuhao Qing, Haowen Pi, Sen Wang, Heming Cui

CoRR, 2022

Somatic variant analysis suite: copy number variation clonal visualization online platform for large-scale single-cell genomics.

Lingxi Chen, Yuhao Qing, Ruikang Li, Chaohui Li, Hechen Li, Xikang Feng, Shuai Cheng Li

Briefings Bioinform., 2022

2021

Improved Transformer Net for Hyperspectral Image Classification.

Yuhao Qing, Wenyi Liu, Liuyan Feng, Wanjia Gao

Remote. Sens., 2021

Improved YOLO Network for Free-Angle Remote Sensing Target Detection.

Yuhao Qing, Wenyi Liu, Liuyan Feng, Wanjia Gao

Remote. Sens., 2021

Hyperspectral Image Classification Based on Multi-Scale Residual Network with Attention Mechanism.

Yuhao Qing, Wenyi Liu

Remote. Sens., 2021