Efficient image matching using concentric sampling features and boosting process. - Pin Wu; Jun-Wei Hsieh (ICIP, 2008)

Human Smoking Event Detection Using Visual Interaction Clues. - Pin Wu; Jun-Wei Hsieh; Jiun-Cheng Cheng; Shyi-Chyi Cheng; Shau-Yin Tseng (ICPR, 2010)

Handhold Object Detection and Event Analysis Using Visual Interaction Clues. - Jun-Wei Hsieh; Chia-Lung Lin; Jiun-Cheng Cheng; Pin Wu; Duan-Yu Chen (DMS, 2011)

Research on the Parallel Partition Performance of High-Speed Train with Aerodynamic Brake Based on Fluent. - Xia Zhang; Pin Wu; Weilie Shang; Wei Chen; Sheng Gao (CIT, 2012)

Estimation of transition temperature for doped iron-based superconductors based on crystal cell structure. - Huiran Zhang; Yan Zhang; Yonghua Zhu; Yan Xu; Wenfeng Shen; Pin Wu; Min Cao; Zhenjie Feng; Qing Li; Jincang Zhang (ICNC, 2015)

Automated Tongue Segmentation in Chinese Medicine Based on Deep Learning. - Yushan Xue; Xiaoqiang Li; Pin Wu; Jide Li; Lu Wang; Weiqin Tong (ICONIP (7), 2018)

Image-into-Image Steganography Using Deep Convolutional Network. - Pin Wu; Yang Yang 043; Xiaoqiang Li (PCM (2), 2018)

Cracked Tongue Recognition Based on Deep Features and Multiple-Instance SVM. - Yushan Xue; Xiaoqiang Li; Qing Cui; Lu Wang; Pin Wu (PCM (2), 2018)

StegNet: Mega Image Steganography Capacity with Deep Convolutional Network. - Pin Wu; Yang Yang 043; Xiaoqiang Li (Future Internet, 2018)

Learning Segmentation Masks with the Independence Prior. - Songmin Dai; Xiaoqiang Li; Lu Wang; Pin Wu; Weiqin Tong; Yimin Chen (AAAI, 2019)

A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA). - Rossella Arcucci; César Quilodrán Casas; Dunhui Xiao; Laetitia Mottet; Fangxin Fang; Pin Wu; Christopher C. Pain; Yi-Ke Guo (PARCO, 2019)

SCGAN: Disentangled Representation Learning by Adding Similarity Constraint on Generative Adversarial Nets. - Xiaoqiang Li; Liangbo Chen; Lu Wang; Pin Wu; Weiqin Tong (IEEE Access, 2019)

Bigdata logs analysis based on seq2seq networks for cognitive Internet of Things. - Pin Wu; Zhihui Lu 002; Quan Zhou; Zhidan Lei; Xiaoqiang Li; Meikang Qiu; Patrick C. K. Hung (Future Gener. Comput. Syst., 2019)

Roll Motion Prediction of Unmanned Surface Vehicle Based on Coupled CNN and LSTM. - Wenjie Zhang 005; Pin Wu; Yan Peng 001; Dongke Liu (Future Internet, 2019)

Parallel accelerated matting method based on local learning. - Xiaoqiang Li; Jide Li; Pin Wu; Huicheng Lian; Weiqin Tong (Neurocomputing, 2019)

Semi-Supervised Semantic Segmentation Constrained by Consistency Regularization. - Xiaoqiang Li; Qin He; Songmin Dai; Pin Wu; Weiqin Tong (ICME, 2020)

Multiple premises entailment recognition based on attention and gate mechanism. - Pin Wu; Zhidan Lei; Quan Zhou; Rukang Zhu; Xuting Chang; Junwu Sun; Wenjie Zhang 005; Yike Guo (Expert Syst. Appl., 2020)

BASN - Learning Steganography with a Binary Attention Mechanism. - Pin Wu; Xuting Chang; Yang Yang 043; Xiaoqiang Li (Future Internet, 2020)

Transfer Learning for Multi-Premise Entailment with Relationship Processing Module. - Pin Wu; Rukang Zhu; Zhidan Lei (Future Internet, 2021)

Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state. - Pin Wu; Xuting Chang; Wenyan Yuan; Junwu Sun; Wenjie Zhang 005; Rossella Arcucci; Yike Guo (J. Comput. Sci., 2021)

A Deterministic Communication Technique in the 5G-Adv/6G Access Network Systems. - Lei Kong; Pin Wu; Jun Chu; Wei Xu 001; Lei Zhou (WCSP, 2022)

Navier-stokes Generative Adversarial Network: a physics-informed deep learning model for fluid flow generation. - Pin Wu; Kaikai Pan; Lulu Ji; Siquan Gong; Weibing Feng; Wenyan Yuan; Christopher C. Pain (Neural Comput. Appl., 2022)

EPT: A data-driven transformer model for earthquake prediction. - Bo Zhang; Ziang Hu; Pin Wu; Haiwang Huang; Jiansheng Xiang (Eng. Appl. Artif. Intell., 2023)

A Digital Twin Framework Embedded with POD and Neural Network for Flow Field Monitoring of Push-Plate Kiln. - Pin Wu; Lulu Ji; Wenyan Yuan; Zhitao Liu; Tiantian Tang (Future Internet, 2023)

A novel zeroing neural network with activation function-enhanced convergence for efficient data matrix decomposition. - Yiguo Yang; Pin Wu; Duc Truong Pham; Shuai Li; Weibing Feng (Neurocomputing, 2025)

FlowBERT: Prompt-tuned BERT for variable flow field prediction. - Weihao Zou; Weibing Feng; Pin Wu (CoRR, 2025)