An Underwater Acoustic Implementation of DFT-Spread OFDM. - Yonghuai Zhang; Haixin Sun; En Cheng; Weijie Shen (EURASIP J. Adv. Signal Process., 2010)

Comment: Some Statistical Concerns on Dimensional Analysis. - Dennis K. J. Lin; Weijie Shen (Technometrics, 2013)

A MIMO-based backscattering RFID with interleave division multiple access for real-time sensing applications. - Xixu Wang; Xiaolin Zhou; Weijie Shen; Zhuo Zou; Lirong Zheng 001 (RFID-TA, 2014)

Robust Parameter Designs in Computer Experiments Using Stochastic Approximation. - Weijie Shen (Technometrics, 2017)

A Conjugate Model for Dimensional Analysis. - Weijie Shen; Dennis K. J. Lin (Technometrics, 2018)

Only Image Cosine Embedding for Few-Shot Learning. - Songyi Gao; Weijie Shen; Zelin Liu; An Zhu; Yang Yu 001 (ICONIP (2), 2019)

Sequential and Dynamic constraint Contrastive Learning for Reinforcement Learning. - Weijie Shen; Lei Yuan 005; Junfu Huang; Songyi Gao; Yuyang Huang; Yang Yu 001 (IJCNN, 2021)

Imitate TheWorld: A Search Engine Simulation Platform. - Yongqing Gao; Guangda Huzhang; Weijie Shen; Yawen Liu; Wen-Ji Zhou; Qing Da; Dan Shen; Yang Yu 001 (CoRR, 2021)

Analytical solutions of a class of matrix function optimization problems with unitary constraints. - Weijie Shen; Ping Shi; Zhihao Ge; Weiwei Xu (Appl. Math. Lett., 2022)

AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. - Guangda Huzhang; Zhen-Jia Pang; Yongqing Gao; Yawen Liu; Weijie Shen; Wen-Ji Zhou; Qianying Lin; Qing Da; Anxiang Zeng; Han Yu 001; Yang Yu 001; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2023)

Rolling Bearing Fault Diagnosis Based on Support Vector Machine Optimized by Improved Grey Wolf Algorithm. - Weijie Shen; Maohua Xiao; Zhenyu Wang; Xinmin Song (Sensors, 2023)

Interpretable Risk Assessment Methods for Medical Image Processing via Dynamic Dilated Convolution and a Knowledge Base on Location Relations. - Yunan Shi; Junxian Bao; Keyang Cheng; Weijie Shen; Jingfeng Tang; Yongzhao Zhan 001 (Comput. Informatics, 2024)

Fast randomized algorithms for low-rank matrix approximations with applications in global comparative analysis of a class of data sets. - Weiwei Xu; Weijie Shen; Wen Li; Weiguo Gao; Yingzhou Li (CoRR, 2024)

Efficient Orthogonal Decomposition with Automatic Basis Extraction for Low-Rank Matrix Approximation. - Weijie Shen; Weiwei Xu; Lei Zhu (CoRR, 2024)

Two-sided uniformly randomized GSVD for large-scale discrete ill-posed problems with Tikhonov regularizations. - Weiwei Xu; Weijie Shen; Zheng-Jian Bai (CoRR, 2024)

A Novel Adaptive Low-Rank Matrix Approximation Method for Image Compression and Reconstruction. - Weiwei Xu; Weijie Shen; Chang Liu; Zhigang Jia (CoRR, 2025)

Dual Contrastive Learning for Few-Shot Gastric Cancer CT Images Segmentation. - Junxian Bao; Simin Gao; Weijie Shen; Lihua Hang; Keyang Cheng (Signal Image Video Process., 2025)