Trust Based Secure Localization in Wireless Sensor Networks. - Ting Zhang 012; Jingsha He; Yang Zhang (IPTC, 2011)

Secure Sensor Localization in Wireless Sensor Networks based on Neural Network. - Ting Zhang 012; Jingsha He; Yang Zhang (Int. J. Comput. Intell. Syst., 2012)

A Group Key Distribution Scheme for Wireless Sensor Networks in the Internet of Things Scenario. - Hong Yu 012; Jingsha He; Ting Zhang 012; Peng Xiao (Int. J. Distributed Sens. Networks, 2012)

Secure Localization in Wireless Sensor Networks with Mobile Beacons. - Ting Zhang 012; Jingsha He; Hong Yu 012 (Int. J. Distributed Sens. Networks, 2012)

Enabling end-to-end secure communication between wireless sensor networks and the Internet. - Hong Yu 012; Jingsha He; Ting Zhang 012; Peng Xiao; Yuqiang Zhang (World Wide Web, 2013)

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)

Deep neural mapping support vector machines. - Yujian Li; Ting Zhang 012 (Neural Networks, 2017)

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)

An Improved Lung Parenchyma Segmentation Using the Maximum Inter-Class Variance Method (OTSU). - Firdaous Essaf; Yujian Li; Seybou Sakho; Pius Kwao Gadosey; Ting Zhang 012 (ICCAI, 2020)

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)

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)

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)

Micro-Knowledge Embedding for Zero-shot Classification. - Houjun Li; Fang Wang; Jingxian Liu; Jianhua Huang; Ting Zhang 012; Shuhong Yang (Comput. Electr. Eng., 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)

Leveraging ResNet CNN and XGBoost for Enhanced Bitcoin Price Forecasting. - Peter T. Yamak; Yujian Li; Ting Zhang 012; Kyefondeme C. Dakurah (ACAI, 2023)

A seismic data visualization system based on Springboot and WebGL. - Lei Chen 085; Chengjin Liu; Yanqing Liang; Ting Zhang 012 (ICBDT, 2023)

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)

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

A Seismic Fault Recognition Method Based on Region Energy Algorithm. - Lei Chen 085; Yanqing Liang; Guanglei Qi; Ting Zhang 012 (Int. J. Pattern Recognit. Artif. Intell., 2024)

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)