The Application of Social Software in the Integration of Information Technology and Curriculum. - Qi Liu; Wei Ran (ICFCE, 2011)

GPU accelerated CESE method for 1D shock tube problems. - Wei Ran; Wan Cheng; Fenghua Qin; Xisheng Luo (J. Comput. Phys., 2011)

GPU accelerated cell-based adaptive mesh refinement on unstructured quadrilateral grid. - Xisheng Luo; Luying Wang; Wei Ran; Fenghua Qin (Comput. Phys. Commun., 2016)

Low-complexity stochastic modeling of spatially-evolving flows. - Wei Ran; Armin Zare; M. J. Philipp Hack; Mihailo R. Jovanovic (ACC, 2017)

Low-complexity modeling of mode interactions in boundary layer flows. - Wei Ran; Armin Zare; M. J. Philipp Hack; Mihailo R. Jovanovic (ACC, 2018)

Relating global and local stochastic receptivity analysis of boundary layer flows. - Wei Ran; Armin Zare; M. J. Philipp Hack; Mihailo R. Jovanovic (ACC, 2019)

Drag reduction in turbulent channel flow over spatially periodic surfaces. - Wei Ran; Armin Zare; Mihailo R. Jovanovic (CDC, 2019)

Multi-level feature learning with attention for person re-identification. - Suncheng Xiang; Yuzhuo Fu; Hao Chen; Wei Ran; Ting Liu 016 (Multim. Tools Appl., 2020)

Rapid Multi-Sensor Feature Fusion Based on Non-Stationary Kernel JADE for the Small-Amplitude Hunting Monitoring of High-Speed Trains. - Jing Ning; Mingkuan Fang; Wei Ran; Chunjun Chen; Yanping Li (Sensors, 2020)

Dynamic Fine-Grained Workload Partitioning for Irregular Applications on Discrete CPU-GPU Systems. - Chunhua Xiao; Wei Ran; Fangzhu Lin; Lin Zhang (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Deep learning-based hysteroscopic intelligent examination and ultrasound examination for diagnosis of endometrial carcinoma. - Zhiyong Xia; Liping Zhang; Shengfeng Liu; Wei Ran; Yujuan Liu; Jihong Tu (J. Supercomput., 2022)

Online Personalized Preference Learning Method Based on In-Formative Query for Lane Centering Control Trajectory. - Wei Ran; Hui Chen; Taokai Xia; Yosuke Nishimura; Chaopeng Guo; Youyu Yin (Sensors, 2023)

Learning to Floorplan like Human Experts via Reinforcement Learning. - Binjie Yan; Lin Xu; Zefang Yu; Mingye Xie; Wei Ran; Jingsheng Gao; Yuzhuo Fu; Ting Liu (DATE, 2024)

A Method to Develop the Driver-Adaptive Lane-Keeping Assistance System Based on Real Driver Preferences. - Jiachen Chen; Hui Chen; Xiaoming Lan; Bin Zhong; Wei Ran (Sensors, 2024)

Deep multimodal representation learning for generalizable person re-identification. - Suncheng Xiang; Hao Chen; Wei Ran; Zefang Yu; Ting Liu 016; Dahong Qian; Yuzhuo Fu (Mach. Learn., 2024)

Exploring Generalization Boundaries of Unsupervised Industrial Anomaly Detection Models through Attribute Perturbation. - Wei Ran; Yuzhuo Fu; Ting Liu (ICASSP, 2025)

A Training-Free Correlation-Weighted Model for Zero-/Few-Shot Industrial Anomaly Detection with Retrieval Augmentation. - Wei Ran; Zefang Yu; Suncheng Xiang; Ting Liu; Yuzhuo Fu (ICASSP, 2025)

An Intelligent Prediction Model for the Synthesis Conditions of Metal-Organic Frameworks Utilizing Artificial Neural Networks Enhanced by Genetic Algorithm Optimization. - Guangying Jin; Wei Ran; Manyue Zhang; Yun Li (J. Chem. Inf. Model., 2025)