Infrared ship target segmentation based on region and shape features. - Zhaoying Liu; Fugen Zhou; Xiangzhi Bai (WIAMIS, 2013)

Infrared Ship Target Image Smoothing Based on Adaptive Mean Shift. - Zhaoying Liu; Changming Sun; Xiangzhi Bai; Fugen Zhou (DICTA, 2014)

Spatial information based FCM for infrared ship target segmentation. - Xiangzhi Bai; Zhiguo Chen; Yu Zhang 026; Zhaoying Liu; Yi Lu (ICIP, 2014)

Iterative infrared ship target segmentation based on multiple features. - Zhaoying Liu; Fugen Zhou; Xiaowu Chen; Xiangzhi Bai; Changming Sun (Pattern Recognit., 2014)

Infrared ship target segmentation through integration of multiple feature maps. - Zhaoying Liu; Xiangzhi Bai; Changming Sun; Fugen Zhou; Yujian Li (Image Vis. Comput., 2016)

Infrared Ship Target Segmentation Based on Spatial Information Improved FCM. - Xiangzhi Bai; Zhiguo Chen; Yu Zhang 026; Zhaoying Liu; Yi Lu (IEEE Trans. Cybern., 2016)

Shortcut Convolutional Neural Networks for Classification of Gender and Texture. - Ting Zhang 012; Yujian Li; Zhaoying Liu (ICANN (2), 2017)

A concatenating framework of shortcut convolutional neural networks. - Yujian Li; Ting Zhang 012; Zhaoying Liu; Haihe Hu (CoRR, 2017)

Learning graph matching with GNCCP. - Shaofeng Zeng; Yujian Li; Zhaoying Liu; Edna Chebet Too (IC4E, 2018)

Multi-Modal Ship Target Image Smoothing Based on Adaptive Mean Shift. - Zhaoying Liu; Xiangzhi Bai; Changming Sun; Fugen Zhou; Yujian Li (IEEE Access, 2018)

Feature clustering dimensionality reduction based on affinity propagation. - Yahong Zhang; Yujian Li; Ting Zhang 012; Pius Kwao Gadosey; Zhaoying Liu (Intell. Data Anal., 2018)

A Link Growing Method for Clustering. - Bowen Liu 006; Yujian Li; Ting Zhang 012; Zhaoying Liu (CSAI, 2019)

Multi-Experience Pool Local State Parallel Q-Network. - Ting Zhang 012; Xiao-Guang Nie; Zhaoying Liu; Yujian Li; Bowen Liu 006 (CSAI, 2019)

Multi-level Up-sampling Network for Infrared Ship Saliency Object Detection. - Tianpeng Jiang; Zhaoying Liu; Yujian Li (ICVIP, 2019)

SEB-Net: Revisiting Deep Encoder-Decoder Networks for Scene Understanding. - Pius Kwao Gadosey; Yujian Li; Ting Zhang 012; Zhaoying Liu; Edna Chebet Too; Firdaous Essaf (ICCAI, 2020)

Probabilistic K-means Clustering via Nonlinear Programming. - Yujian Li; Bowen Liu 006; Zhaoying Liu; Ting Zhang 012 (CoRR, 2020)

Deep learning based stereo cost aggregation on a small dataset. - Rongcheng Wu; Changming Sun; Zhaoying Liu; Arcot Sowmya (DICTA, 2021)

A fusing framework of shortcut convolutional neural networks. - Ting Zhang 012; Muhammad Waqas 001; Zhaoying Liu; Shanshan Tu; Zahid Halim; Sadaqat ur Rehman; Yujian Li; Zhu Han 001 (Inf. Sci., 2021)

A neural network architecture optimizer based on DARTS and generative adversarial learning. - Ting Zhang 012; Muhammad Waqas 001; Hao Shen; Zhaoying Liu; Xiangyu Zhang; Yujian Li; Zahid Halim; Sheng Chen 001 (Inf. Sci., 2021)

Lp-norm probabilistic K-means clustering via nonlinear programming. - Bowen Liu 006; Yujian Li; Ting Zhang 012; Zhaoying Liu (Int. J. Mach. Learn. Cybern., 2021)

Non-differentiable saddle points and sub-optimal local minima exist for deep ReLU networks. - Bo Liu 011; Zhaoying Liu; Ting Zhang 012; Tongtong Yuan (Neural Networks, 2021)

C-UNet: Complement UNet for Remote Sensing Road Extraction. - Yuewu Hou; Zhaoying Liu; Ting Zhang 012; Yujian Li (Sensors, 2021)

Iterative Min Cut Clustering Based on Graph Cuts. - Bowen Liu 006; Zhaoying Liu; Yujian Li; Ting Zhang 012; Zhilin Zhang (Sensors, 2021)

Kernel Probabilistic K-Means Clustering. - Bowen Liu 006; Ting Zhang 012; Yujian Li; Zhaoying Liu; Zhilin Zhang (Sensors, 2021)

A Multi-Task CNN for Maritime Target Detection. - Zhaoying Liu; Muhammad Waqas 001; Jia Yang; Ahmar Rashid; Zhu Han 001 (IEEE Signal Process. Lett., 2021)

Infrared Ship Video Target Tracking Based on Cross-Connection and Spatial Transformer Network. - Zhaoying Liu; Junran He; Ting Zhang 012; Ran Tang; Yujian Li; Muhammad Waqas 001 (ICAIS (2), 2022)

Few-Shot Object Detection Based on Latent Knowledge Representation. - Yifeng Cao; Lijuan Duan; Zhaoying Liu; Wenjian Wang; Fangfang Liang (PRCV (4), 2022)

Adaptive feature fusion for time series classification. - Tian Wang; Zhaoying Liu; Ting Zhang 012; Syed Fawad Hussain; Muhammad Waqas 001; Yujian Li (Knowl. Based Syst., 2022)

RD-NMSVM: neural mapping support vector machine based on parameter regularization and knowledge distillation. - Jidong Han; Ting Zhang 012; Yujian Li; Zhaoying Liu (Int. J. Mach. Learn. Cybern., 2022)

Arbitrarily Oriented Object Detection in Remote Sensing Images Based on Improved YOLOv4-CSP. - Ziyang Zheng; Ting Zhang 012; Zhaoying Liu; Bo Liu 011; Yujian Li; Changming Sun (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

An Improved Intuitionistic Fuzzy C-Means for Ship Segmentation in Infrared Images. - Fan Yang 123; Zhaoying Liu; Xiangzhi Bai; Yuxuan Zhang 002 (IEEE Trans. Fuzzy Syst., 2022)

Infrared Small Target Detection Based on Saliency Guided Multi-Task Learning. - Zhaoying Liu; Junran He; Yuxiang Zhang; Ting Zhang 012; Ziqing Han; Bo Liu 011 (ICIP, 2023)

Two-Stage Domain Adaptation for Infrared Ship Target Segmentation. - Ting Zhang 012; Haijian Shen; Sadaqat ur Rehman; Zhaoying Liu; Yujian Li; Obaid Ur Rehman 003 (IEEE Trans. Geosci. Remote. Sens., 2023)

Infrared ship target segmentation based on Adversarial Domain Adaptation. - Ting Zhang 012; Zihang Gao; Zhaoying Liu; Syed Fawad Hussain; Muhammad Waqas 001; Zahid Halim; Yujian Li (Knowl. Based Syst., 2023)

Deep convolutional cross-connected kernel mapping support vector machine based on SelectDropout. - Qi Wang; Zhaoying Liu; Ting Zhang 012; Hisham Alasmary; Muhammad Waqas 001; Zahid Halim; Yujian Li (Inf. Sci., 2023)

SCMP-IL: an incremental learning method with super constraints on model parameters. - Jidong Han; Zhaoying Liu; Yujian Li; Ting Zhang 012 (Int. J. Mach. Learn. Cybern., 2023)

Weakly-supervised butterfly detection based on saliency map. - Ting Zhang 012; Muhammad Waqas 001; Yu Fang; Zhaoying Liu; Zahid Halim; Yujian Li; Sheng Chen 001 (Pattern Recognit., 2023)

Swin-ResUNet+: An edge enhancement module for road extraction from remote sensing images. - Yingshan Jing; Ting Zhang 012; Zhaoying Liu; Yuewu Hou; Changming Sun (Comput. Vis. Image Underst., 2023)

A Two-branch Edge Guided Lightweight Network for infrared image saliency detection. - Zhaoying Liu; Xiang Li; Ting Zhang 012; Xuesi Zhang; Changming Sun; Sadaqat ur Rehman; Jawad Ahmad (Comput. Electr. Eng., 2024)

Enhancing zero-shot object detection with external knowledge-guided robust contrast learning. - Lijuan Duan; Guangyuan Liu; Qing En; Zhaoying Liu; Zhi Gong; Bian Ma (Pattern Recognit. Lett., 2024)

QvQ-IL: quantity versus quality in incremental learning. - Jidong Han; Ting Zhang 012; Zhaoying Liu; Yujian Li (Neural Comput. Appl., 2024)

Gas pipeline defect detection based on improved deep learning approach. - Ting Zhang 014; Cong Ma; Zhaoying Liu; Sadaqat ur Rehman; Yujian Li; Mohamad Saraee (Expert Syst. Appl., 2025)

A weakly-supervised oriented object detector : Knowledge-based dropblock and unified regression network. - Lijuan Duan; Zichen Zhang; Zhaoying Liu; Fengjin Xiao (Neural Networks, 2025)

Rethinking cell-based neural architecture search: A theoretical perspective. - Bo Liu 011; Huiwen Zhao; Tongtong Yuan; Ting Zhang 012; Zhaoying Liu (Neural Networks, 2025)

Enhancing Infrared Small Target Detection: A Saliency-Guided Multi-Task Learning Approach. - Zhaoying Liu; Yuxiang Zhang; Junran He; Ting Zhang 012; Sadaqat ur Rehman; Mohamad Saraee; Changming Sun (IEEE Trans. Intell. Transp. Syst., 2025)

Small sample pipeline DR defect detection based on smooth variational autoencoder and enhanced detection head faster RCNN. - Ting Zhang 014; Tianyang You; Zhaoying Liu; Sadaqat ur Rehman; Yanan Shi; Amr Munshi (Appl. Intell., 2025)