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Scientific Reports|November 14, 2025
Measured multi-source semi-supervised working condition recognition based on curvelet pooling and attention mechanism learningShuo Yang, Bin Zhou, Yanjiang Wang, et al.Scientific Reports|July 15, 2025
Dynamic graph structure evolution for node classification with missing attributesXiaomeng Song, Bin Zhou, Yanjiang Wang, et al.Sensors (Basel, Switzerland)|April 26, 2025
Semi-Supervised Class-Incremental Sucker-Rod Pumping Well Operating Condition Recognition Based on Multi-Source Data DistillationWeiwei Zhao, Bin Zhou, Yanjiang Wang, et al.Scientific Reports|May 15, 2026
Class-incremental few-shot underwater object detection frameworkXue Zhao, Bin Zhou, Yanjiang WangPlos One|September 27, 2014
Hessian-regularized co-training for social activity recognitionWeifeng Liu, Yang Li, Xu Lin, et al.Heliyon|March 7, 2024
Multisource working condition recognition via nonlinear kernel learning and <i>p</i>-Laplacian manifold learningBin Zhou, Rui Niu, Shuo Yang, et al.Thescientificworldjournal|July 12, 2013
Memory-based multiagent coevolution modeling for robust moving object trackingYanjiang Wang, Yujuan Qi, Yongping LiMedical & Biological Engineering & Computing|November 2, 2022
Subject-independent EEG emotion recognition with hybrid spatio-temporal GRU-Conv architectureGuixun Xu, Wenhui Guo, Yanjiang WangJournal of Neuroscience Methods|February 28, 2026
ATCRN:Attention-guided Temporal Convolutional Remix Network for P300 spellerBinghao Shi, Mengxue Liu, Yanjiang WangJournal of Neural Engineering|June 21, 2023
LSTM-enhanced multi-view dynamical emotion graph representation for EEG signal recognitionGuixun Xu, Wenhui Guo, Yanjiang WangPageof 598