Microcalcification Patterns Recognition Based Combination of Autoassociator and Classifier. - Wencang Zhao; Xinbo Yu; Fengxiang Li (CIS (1), 2005)

ANN Hybrid Ensemble Learning Strategy in 3D Object Recognition and Pose Estimation Based on Similarity. - Rui Nian; Guangrong Ji; Wencang Zhao; Chen Feng (ICIC (1), 2005)

The Prediction of the Financial Time Series Based on Correlation Dimension. - Chen Feng; Guangrong Ji; Wencang Zhao; Rui Nian (ICNC (1), 2005)

ANN Ensemble Online Learning Strategy in 3D Object Cognition and Recognition Based on Similarity. - Rui Nian; Guangrong Ji; Wencang Zhao; Chen Feng (ICNC (1), 2005)

Blindly Selecting Method of Training Samples Baded Data's Intrinsic Character for Machine Learning. - Wencang Zhao (IEEE ICCI, 2006)

Ocean Red Tide Recognizing Method Based Neural Network Ensembles. - Wencang Zhao; Wei Wang; Jin Li (ICICIC (2), 2006)

Improved Approach of Seed Point Selection in RPCCL Algorithm for Aerial Remote Sensing Hyper-spectral Data Clustering with Data Dimensionality Reduction. - Xuefeng Liu; Guangrong Ji; Wencang Zhao; Junna Cheng (SNPD (1), 2007)

Probabilistic 3D object recognition from 2D invariant view sequence based on similarity. - Rui Nian; Guangrong Ji; Wencang Zhao; Chen Feng (Neurocomputing, 2007)

Study of feature extraction based visual invariance and species identification of weed seeds. - Wencang Zhao; Junxin Wang (ICNC, 2010)

Denoising hyperspectral images with non-white noise based on tensor decomposition. - Xuefeng Liu; Yuping Feng; Yingge Li; Ximei Liu; Wencang Zhao; Min Fu (DSP, 2016)

Recognition of incomplete and overlapped weed seeds based on self-organization delayed neural network. - Changjiang Shi; Qian Wang; Wencang Zhao (ICNC-FSKD, 2016)

Deep Active Learning Through Cognitive Information Parcels. - Wencang Zhao; Yu Kong 001; Zhengming Ding; Yun Fu 001 (ACM Multimedia, 2017)

Target unbiased meta-learning for graph classification. - Ming Li; Shuo Zhu; Chunxu Li; Wencang Zhao (J. Comput. Des. Eng., 2021)

Deep Active Recognition through Online Cognitive Learning. - Jing Yang; Wencang Zhao; Minghua Lu; Jincai Huang 001 (Int. J. Pattern Recognit. Artif. Intell., 2023)

Mask-Shift-Inference: A novel paradigm for domain generalization. - Youjia Shao; Na Tian; Xinyi Li; Qinghao Zhang; Wencang Zhao (Neural Networks, 2024)

Comprehensive mining of information in Weakly Supervised Semantic Segmentation: Saliency semantics and edge semantics. - Shaohui Wang; Youjia Shao; Na Tian; Wencang Zhao (Neural Networks, 2024)

CaRGI: Causal semantic representation learning via generative intervention for single domain generalization. - Youjia Shao; Shaohui Wang; Wencang Zhao (Appl. Soft Comput., 2025)

High-fidelity synthesis with causal disentangled representation. - Tongsen Yang; Youjia Shao; Hao Wang; Wencang Zhao (Expert Syst. Appl., 2025)

Counterfactual learning and saliency augmentation for weakly supervised semantic segmentation. - Xiangfu Ding; Youjia Shao; Na Tian; Li Wang; Wencang Zhao (Image Vis. Comput., 2025)

Comprehensive disentanglement with fine-grained feature mitigation for domain generalization. - Youjia Shao; Changshuo Wang 001; Qihang Jia; Wencang Zhao (Neural Networks, 2025)

Efficient panoramic dental X-ray image segmentation model based on dual-domain transformation processing. - Qihang Jia; Xiangfu Ding; Na Tian; Youjia Shao; Xinbo Yu; Wencang Zhao (Biomed. Signal Process. Control., 2026)

A core knowledge reasoning architecture for scene graph. - Na Tian; Youjia Shao; Xiangfu Ding; Li Wang; Wencang Zhao (Pattern Recognit., 2026)