Trajectory Predictor by Using Recurrent Neural Networks in Visual Tracking. - Lituan Wang; Lei Zhang 005; Zhang Yi 001 (IEEE Trans. Cybern., 2017)

Sentence representation and classification using attention and additional language information. - Hongli Deng; Lei Zhang 005; Lituan Wang (ICACI, 2018)

Global context-dependent recurrent neural network language model with sparse feature learning. - Hongli Deng; Lei Zhang 005; Lituan Wang (Neural Comput. Appl., 2019)

Multitask Learning for Object Localization With Deep Reinforcement Learning. - Yan Wang 015; Lei Zhang 005; Lituan Wang; Zizhou Wang (IEEE Trans. Cogn. Dev. Syst., 2019)

Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks. - Lituan Wang; Lei Zhang 005; Minjuan Zhu; Xiaofeng Qi; Zhang Yi 001 (Medical Image Anal., 2020)

Memory Mechanisms for Discriminative Visual Tracking Algorithms With Deep Neural Networks. - Lituan Wang; Lei Zhang 005; Jianyong Wang 002; Zhang Yi 001 (IEEE Trans. Cogn. Dev. Syst., 2020)

One-Shot Neural Architecture Search by Dynamically Pruning Supernet in Hierarchical Order. - Jianwei Zhang 016; Dong Li; Lituan Wang; Lei Zhang 005 (Int. J. Neural Syst., 2021)

Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture. - Jianwei Zhang 016; Dong Li; Lituan Wang; Lei Zhang 005 (CoRR, 2022)

DE-Net: A deep edge network with boundary information for automatic skin lesion segmentation. - Rui Gu; Lituan Wang; Lei Zhang 005 (Neurocomputing, 2022)

Deep Multiinstance Mammogram Classification With Region Label Assignment Strategy and Metric-Based Optimization. - Dong Li; Lituan Wang; Ting Hu; Lei Zhang 005; Qing Lv (IEEE Trans. Cogn. Dev. Syst., 2022)

Multi-Level Attention Network for Retinal Vessel Segmentation. - Yuchen Yuan; Lei Zhang 005; Lituan Wang; Haiying Huang 004 (IEEE J. Biomed. Health Informatics, 2022)

Deep Attention-Based Imbalanced Image Classification. - Lituan Wang; Lei Zhang 005; Xiaofeng Qi; Zhang Yi 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Fine-grained recognition: Multi-granularity labels and category similarity matrix. - Xin Shu; Lei Zhang 005; Zizhou Wang; Lituan Wang; Zhang Yi 001 (Knowl. Based Syst., 2023)

Improving vessel connectivity in retinal vessel segmentation via adversarial learning. - Yuchen Yuan; Lituan Wang; Lei Zhang 005 (Knowl. Based Syst., 2023)

Robust co-teaching learning with consistency-based noisy label correction for medical image classification. - Minjuan Zhu; Lei Zhang 005; Lituan Wang; Dong Li; Jianwei Zhang 016; Zhang Yi 001 (Int. J. Comput. Assist. Radiol. Surg., 2023)

Intra-class consistency and inter-class discrimination feature learning for automatic skin lesion classification. - Lituan Wang; Lei Zhang 005; Xin Shu; Zhang Yi 001 (Medical Image Anal., 2023)

Deep Slice-Crossed Network With Local Weighted Loss for Brain Metastases Segmentation. - Xin Shu; Lei Zhang 005; Jiao Qu; Lituan Wang; Zizhou Wang; Wenjing Zhang; Ying Wang; Su Lui (IEEE Trans. Cogn. Dev. Syst., 2023)

PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation. - Yu Lei; Haolun Luo; Lituan Wang; Zhenwei Zhang; Lei Zhang 005 (ICIC (6), 2024)

DualPSNet: A Discrepant-Annotations-Driven Framework for Medical Image Segmentation from Dual-Polygon Supervision. - Rongjie Tang; Lei Zhang 005; Lituan Wang (IJCNN, 2024)

LanDA: Language-Guided Multi-Source Domain Adaptation. - Zhenbin Wang; Lei Zhang 005; Lituan Wang; Minjuan Zhu (CoRR, 2024)

Soft Masked Mamba Diffusion Model for CT to MRI Conversion. - Zhenbin Wang; Lei Zhang 005; Lituan Wang; Zhenwei Zhang (CoRR, 2024)

Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation. - Zhenbin Wang; Lei Zhang 005; Lituan Wang; Minjuan Zhu; Zhenwei Zhang (CoRR, 2024)

A Unified Search Framework for Data Augmentation and Neural Architecture on Small-Scale Image Data Sets. - Jianwei Zhang 016; Lei Zhang 005; Dong Li; Lituan Wang (IEEE Trans. Cogn. Dev. Syst., 2024)

Exploring Inherent Consistency for Semi-Supervised Anatomical Structure Segmentation in Medical Imaging. - Wei Huang; Lei Zhang 005; Zizhou Wang; Lituan Wang (IEEE Trans. Medical Imaging, 2024)

EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation. - Lituan Wang; Lei Zhang 005; Wang Yan; Zhenbin Wang; Zhenwei Zhang; Zhang Yi 001 (CoRR, 2025)