Hyperspectral Image Classification Based on Multi-Scale Residual Network with Attention Mechanism. - Yuhao Qing; Wenyi Liu (Remote. Sens., 2021)

Improved YOLO Network for Free-Angle Remote Sensing Target Detection. - Yuhao Qing; Wenyi Liu; Liuyan Feng; Wanjia Gao (Remote. Sens., 2021)

Improved Transformer Net for Hyperspectral Image Classification. - Yuhao Qing; Wenyi Liu; Liuyan Feng; Wanjia Gao (Remote. Sens., 2021)

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 001 (Briefings Bioinform., 2022)

Two Heads are Better than One: Robust Learning Meets Multi-branch Models. - Dong Huang 005; Qingwen Bu; Yuhao Qing; Haowen Pi; Sen Wang 004; Heming Cui (CoRR, 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)

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 005; Yuhao Qing; Sen Wang 004; Peng Wang 037; Gong Zhang 001; Cheng Li 001; Ping Luo 002; et al. (IEEE Trans. Parallel Distributed Syst., 2022)

Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing. - Dong Huang 005; Qingwen Bu; Yichao Fu; Yuhao Qing; Bocheng Xiao; Heming Cui (CoRR, 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 004; Gong Zhang 001; Heming Cui (IEEE Trans. Parallel Distributed Syst., 2023)

EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization. - Dong Huang 005; Jianbo Dai; Han Weng; Puzhen Wu; Yuhao Qing; Heming Cui; Zhijiang Guo; Jie Zhang 050 (NeurIPS, 2024)

EffiBench: Benchmarking the Efficiency of Automatically Generated Code. - Dong Huang 005; Yuhao Qing; Weiyi Shang; Heming Cui; Jie Zhang 050 (NeurIPS, 2024)

EffiBench: Benchmarking the Efficiency of Automatically Generated Code. - Dong Huang 005; Jie M. Zhang; Yuhao Qing; Heming Cui (CoRR, 2024)

SOAP: Enhancing Efficiency of Generated Code via Self-Optimization. - Dong Huang 005; Jianbo Dai; Han Weng; Puzhen Wu; Yuhao Qing; Jie M. Zhang; Heming Cui; Zhijiang Guo (CoRR, 2024)

Hybrid-Parallel: Achieving High Performance and Energy Efficient Distributed Inference on Robots. - Zekai Sun; Xiuxian Guan; Junming Wang 001; Haoze Song; Yuhao Qing; Tianxiang Shen; Dong Huang 005; Fangming Liu; Heming Cui (CoRR, 2024)

Effi-Code: Unleashing Code Efficiency in Language Models. - Dong Huang 005; Guangtao Zeng; Jianbo Dai; Meng Luo; Han Weng; Yuhao Qing; Heming Cui; Zhijiang Guo; Jie M. Zhang (CoRR, 2024)

Neuron Sensitivity-Guided Test Case Selection. - Dong Huang 005; Qingwen Bu; Yichao Fu; Yuhao Qing; Xiaofei Xie; Junjie Chen 003; Heming Cui (ACM Trans. Softw. Eng. Methodol., 2024)

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

FoldMoE: Efficient Long Sequence MoE Training via Attention-MoE Pipelining. - Guichao Zhu; Lintian Lei; Yuhao Qing; Yichao Fu; Fanxin Li; Dong Huang 005; Zekai Sun; Heming Cui (ACL (1), 2025)

LCS4: Linear Complexity State-Space Transformers With Multiscale Overlapping Scans for Efficient Semantic Segmentation. - Yueying Wang; Yuhao Qing; Zhijun Fang; Xudong Zhao 001 (IEEE Trans. Instrum. Meas., 2025)

DiffUIE: Learning Latent Global Priors in Diffusion Models for Underwater Image Enhancement. - Yuhao Qing; Si Liu 001; Hai Wang 004; Yueying Wang (IEEE Trans. Multim., 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 005; Sen Wang 004; Heming Cui (CoRR, 2025)

Unformer: A Transformer-Based Approach for Adaptive Multiscale Feature Aggregation in Underwater Image Enhancement. - Yuhao Qing; Yueying Wang; Huaicheng Yan 001; Xiangpeng Xie 001; Zhengguang Wu (IEEE Trans. Artif. Intell., 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 005; See-Kiong Ng; Luu Anh Tuan (CoRR, 2025)

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization. - Mingzhe Du; Luu Tuan Tuan; Yue Liu 008; Yuhao Qing; Dong Huang 005; Xinyi He; Qian Liu 012; Zejun Ma; See-Kiong Ng (CoRR, 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 015; Fangming Liu; Heming Cui; Wei Ni 001; Jun Luo 001 (CoRR, 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., 2025)