Design and Reduction of UML-PN Models of Power Plant's Fault Management System. - Xin Yang 002; Lijuan Chen; Mou Chen; Dake Zhou (FSKD (2), 2009)

Classification and Recognition of Character Using WP Decomposition, Zernike Moments and Fuzzy Integral. - Xin Yang 002; Lijuan Chen; Mou Chen; Dake Zhou (FSKD (3), 2009)

Cluster synchronization for delayed Lur'e dynamical networks based on pinning control. - Ting Wang 013; Tao Li 011; Xin Yang 002; Shumin Fei (Neurocomputing, 2012)

Pinning Cluster Synchronization for Delayed Dynamical Networks via Kronecker Product. - Tao Li 011; Ting Wang 013; Xin Yang 002; Shumin Fei (Circuits Syst. Signal Process., 2013)

New delay-variation-dependent stability for neural networks with time-varying delay. - Tao Li 011; Xin Yang 002; Pu Yang; Shumin Fei (Neurocomputing, 2013)

An improved iterative back projection algorithm based on ringing artifacts suppression. - Xin Yang 002; Yan Zhang; Dake Zhou; Ruigang Yang (Neurocomputing, 2015)

An improved target tracking algorithm based on spatio-temporal context under occlusions. - Xin Yang 002; Songyan Zhu; Dake Zhou; Yifan Zhang (Multidimens. Syst. Signal Process., 2020)

A new TLD target tracking method based on improved correlation filter and adaptive scale. - Xin Yang 002; Songyan Zhu; Sijun Xia; Dake Zhou (Vis. Comput., 2020)

Image Super-Resolution Based on the Down-Sampling Iterative Module and Deep CNN. - Xin Yang 002; Yifan Zhang; Tao Li 011; Yingqing Guo; Dake Zhou (Circuits Syst. Signal Process., 2021)

Remote sensing image super-resolution based on convolutional blind denoising adaptive dense connection. - Xin Yang 002; Tangxin Xie; Yingqing Guo; Dake Zhou (IET Image Process., 2021)

Retinal vessel segmentation based on an improved deep forest. - Xin Yang 002; Zhiqiang Li; Yingqing Guo; Dake Zhou (Int. J. Imaging Syst. Technol., 2021)

Image super-resolution based on deep neural network of multiple attention mechanism. - Xin Yang 002; Xiaochuan Li; Zhiqiang Li; Dake Zhou (J. Vis. Commun. Image Represent., 2021)

Image super-resolution reconstruction based on improved Dirac residual network. - Xin Yang 002; Tangxin Xie; Li Liu; Dake Zhou (Multidimens. Syst. Signal Process., 2021)

An image super-resolution deep learning network based on multi-level feature extraction module. - Xin Yang 002; Yifan Zhang; Yingqing Guo; Dake Zhou (Multim. Tools Appl., 2021)

Image super-resolution network based on a multi-branch attention mechanism. - Xin Yang 002; Yingqing Guo; Zhiqiang Li; Dake Zhou (Signal Image Video Process., 2021)

Lightweight image super-resolution with feature cheap convolution and attention mechanism. - Xin Yang 002; Hengrui Li; Xiaochuan Li (Clust. Comput., 2022)

Fast Image Super-Resolution Based on Limit Gradient Embedding Cascaded Forest. - Xin Yang 002; Chenhuan Wu; Dake Zhou; Tao Li 011 (Circuits Syst. Signal Process., 2022)

MRDN: A lightweight Multi-stage residual distillation network for image Super-Resolution. - Xin Yang 002; Yingqing Guo; Zhiqiang Li; Dake Zhou; Tao Li 011 (Expert Syst. Appl., 2022)

MR-UNet: An UNet model using multi-scale and residual convolutions for retinal vessel segmentation. - Xin Yang 002; Li Liu; Tao Li 011 (Int. J. Imaging Syst. Technol., 2022)

NasmamSR: a fast image super-resolution network based on neural architecture search and multiple attention mechanism. - Xin Yang 002; Jiangfeng Fan; Chenhuan Wu; Dake Zhou; Tao Li 011 (Multim. Syst., 2022)

DCU-net: a deformable convolutional neural network based on cascade U-net for retinal vessel segmentation. - Xin Yang 002; Zhiqiang Li; Yingqing Guo; Dake Zhou (Multim. Tools Appl., 2022)

An improved anchor neighborhood regression SR method based on low-rank constraint. - Xin Yang 002; Li Liu; Chen Zhu; Yingqing Guo; Dake Zhou (Vis. Comput., 2022)

An image super-resolution network based on multi-scale convolution fusion. - Xin Yang 002; Yitian Zhu; Yingqing Guo; Dake Zhou (Vis. Comput., 2022)

Radar Object Detection Using 3D-2D Encoder-Decoder Network. - Yaqi Shen; Dake Zhou; Yichao Gao; Xin Yang 002 (ISCSIC, 2023)

HIFGAN: A High-Frequency Information-Based Generative Adversarial Network for Image Super-Resolution. - Xin Yang 002; Hengrui Li; Xiaochuan Li; Tao Li 011 (ACM Trans. Multim. Comput. Commun. Appl., 2023)

FADLSR: A Lightweight Super-Resolution Network Based on Feature Asymmetric Distillation. - Xin Yang 002; Hengrui Li; Hanying Jian; Tao Li 011 (Circuits Syst. Signal Process., 2023)

Dynamic event-triggered formation control for UAVs under communication delay and outside disturbances. - Mingfei Ji; Tao Li 011; Jiawen Liao; Xin Yang 002 (Trans. Inst. Meas. Control, 2023)

VMSG: a video caption network based on multimodal semantic grouping and semantic attention. - Xin Yang 002; Xiangchen Wang; Xiaohui Ye; Tao Li 011 (Multim. Syst., 2023)

SGAMTE-Net: A pedestrian trajectory prediction network based on spatiotemporal graph attention and multimodal trajectory endpoints. - Xin Yang 002; Liao Bingxian; Xiangcheng Wang (Appl. Intell., 2023)

IST-PTEPN: an improved pedestrian trajectory and endpoint prediction network based on spatio-temporal information. - Xin Yang 002; Jiangfeng Fan; Siyuan Xing (Int. J. Mach. Learn. Cybern., 2023)

SCCADC-SR: a real image super-resolution based on self-calibration convolution and adaptive dense connection. - Xin Yang 002; Hengrui Li; Chenhuan Wu; Tao Li 011 (Multim. Tools Appl., 2023)

Goal-CurveNet: A pedestrian trajectory prediction network using heterogeneous graph attention goal prediction and curve fitting. - Xiangchen Wang; Xin Yang 002; Dake Zhou (Eng. Appl. Artif. Intell., 2024)

Context CVGN: A conditional multimodal trajectory prediction network based on scene semantic modeling. - Xin Yang 002; Shiyu Wang; Yitian Zhu; Dake Zhou; Tao Li 011 (Inf. Sci., 2024)

DAW-GAN: a generative adversarial network based on the dynamic adaptive weight for image super-resolution. - Tingyu Xia; Xin Yang 002; Yitian Zhu (Multim. Tools Appl., 2024)

CSGAT-Net: a conditional pedestrian trajectory prediction network based on scene semantic maps and spatiotemporal graph attention. - Xin Yang 002; Jiangfeng Fan; Xiangcheng Wang; Tao Li 011 (Neural Comput. Appl., 2024)

Dual experience replay-based TD3 for single intersection signal control. - Yichao Gao; Dake Zhou; Yaqi Shen; Xin Yang 002 (J. Supercomput., 2024)

GRFN: A Group Residual Feature Network for Lightweight Image Super-Resolution. - Xin Yang 002; Chaming Hong; Panpan Zhang (Circuits Syst. Signal Process., 2025)

MB-SCRSR: A Multi-branch Image Super-Resolution Network Based on Spatial and Channel Reconstruction. - Panpan Zhang; Xin Yang 002; Tingyu Xia (Circuits Syst. Signal Process., 2025)