CorMut: an R/Bioconductor package for computing correlated mutations based on selection pressure. - Zhenpeng Li; Yang Huang; Yabo Ouyang; Yang Jiao; Hui Xing; Lingjie Liao; Shibo Jiang; Yiming Shao; Liying Ma (Bioinform., 2014)

Developing an Economic Estimation System for Vertical Farms. - Yiming Shao; Tim Heath; Yan Zhu (Int. J. Agric. Environ. Inf. Syst., 2016)

Modeling typical driving patterns in target trajectory decisions for vehicles traversing roads with complex shapes. - Jin Xu; Jun Zhao; Kui Yang; Yiming Shao (Simul., 2016)

Visual Search Efficiency Evaluation Method for Potential Connected Vehicles on Sharp Curves. - Jinshuan Peng; Chenwei Wang; Yiming Shao; Jin Xu (IEEE Access, 2018)

Intelligent Method for Identifying Driving Risk Based on V2V Multisource Big Data. - Jinshuan Peng; Yiming Shao (Complex., 2018)

Modeling drivers' speed choice on roads with complex shapes based on the curvature of the preview trajectory. - Jin Xu; Jun Zhao; Yiming Shao (Simul., 2018)

A LBS Method for Student Behavior Based on Hybrid Positioning by using big data Analyzation. - Xiong Li; Shuna Yan; Yiming Shao; Jiangtao Hao (ICSAI, 2019)

A Vehicle Trajectory Tracking Method With a Time-Varying Model Based on the Model Predictive Control. - Xiaohua Song; Yiming Shao; Zhihua Qu (IEEE Access, 2020)

Robust Stabilization for Uncertain Nonlinear Systems Subject to Feedforward Growth Constraint. - Xinxu Ju; Xianglei Jia; Yiming Shao (IEEE Access, 2021)

Global decentralized control for uncertain large-scale feedforward nonlinear time-delay systems via output feedback. - Yiming Shao; Xianglei Jia; Xinxu Ju; Xiaocheng Shi (IMA J. Math. Control. Inf., 2022)

Adaptive output feedback control of large-scale nonlinear time-delay systems with uncertain output equations. - Yiming Shao; Xianglei Jia; Junfeng Zhang; Xiaocheng Shi (J. Frankl. Inst., 2022)

TAMG: Topology-Aware Multi-GPU Allocation via Deep Reinforcement Learning. - Hajer Ayadi; Jimmy X. Huang; Aijun An; Yiming Shao; Hao Zhou; Hossein Pourmodheji (CASCON, 2023)

GPU Job Scheduler with Deep Reinforcement Learning. - Junjie Deng; Aijun An; Hajer Ayadi; Yiming Shao; Hossein Pourmodheji; Hao Zhou; Michael Feiman (Canadian AI, 2024)

Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity Recognition. - Binling Nie; Yiming Shao; Yigang Wang (LREC/COLING, 2024)

Zero-Shot Low-Light-Level Image Enhancement Algorithm Based on Atmospheric Scattering Model. - Shijie Shi; Dake Zhou; Yiming Shao (ICMLCA, 2024)

A Comprehensive Investigation to Identify Prognostic mRNA and miRNA Signatures for Renal Cell Carcinoma Utilizing a Stratification-Based Approach. - Jiaqi Yu; Jiayi Cai; Aamir Fahira; Keyong Liao; Yani Tongjia; Yiming Shao; Zunnan Huang (Big Data Min. Anal., 2024)

H2GCN: A hybrid hypergraph convolution network for skeleton-based action recognition. - Yiming Shao; Lintao Mao; Leixiong Ye; Jincheng Li; Ping Yang; Chengtao Ji; Zizhao Wu (J. King Saud Univ. Comput. Inf. Sci., 2024)

IDBNet: Improved differentiable binarisation network for natural scene text detection. - Zhijia Zhang; Yiming Shao; Ligang Wang; Haixing Li; Yunpeng Liu (IET Comput. Vis., 2024)

Hematoma expansion prediction based on SMOTE and XGBoost algorithm. - Yan Li; Chaonan Du; Sikai Ge; Ruonan Zhang; Yiming Shao; Keyu Chen; Zhepeng Li; Fei Ma (BMC Medical Informatics Decis. Mak., 2024)

An inverted depth-wise and detail-enhanced network for real-time semantic segmentation. - Yiming Shao; Zhijia Zhang; Haixing Li; Junjie Zhou (Comput. Electr. Eng., 2025)

2024 IEEE Scientific Visualization Contest Winner: PlumeViz: Interactive Exploration for Multifacet Features of Hydrothermal Plumes in Sonar Images. - Yiming Shao; Chengming Liu; Zhiyuan Meng; Shufan Qian; Peng Jiang 002; Yunhai Wang; Qiong Zeng (IEEE Computer Graphics and Applications, 2025)

Topology-aware GPU job scheduling with deep reinforcement learning and heuristics. - Hajer Ayadi; Aijun An; Yiming Shao; Hossein Pourmedheji; Junjie Deng; Jimmy X. Huang; Michael Feiman; Hao Zhou (J. Parallel Distributed Comput., 2025)

What can knowledge graph do for few-shot named entity recognition. - Binling Nie; Yiming Shao; Yigang Wang (J. Web Semant., 2025)

Improving distantly supervised named entity recognition by emphasizing uncertain examples. - Binling Nie; Yiming Shao; Yigang Wang (Pattern Anal. Appl., 2025)