A splitting moving mesh method for reaction-diffusion equations of quenching type. - Kewei Liang; Ping Lin 001; Ming Tze Ong; Roger C. E. Tan (J. Comput. Phys., 2006)

A numerical investigation of blow-up in reaction-diffusion problems with traveling heat sources. - Hancan Zhu; Kewei Liang; Xiaoliang Cheng (J. Comput. Appl. Math., 2010)

Optimal Control for an Elliptic System with Polygonal State Constraints. - Karl Kunisch; Kewei Liang; Xiliang Lu (SIAM J. Control. Optim., 2010)

Moving mesh method for problems with blow-up on unbounded domains. - Hua Qiang; Kewei Liang (Numer. Algorithms, 2012)

General image denoising framework based on compressive sensing theory. - Jianqiu Jin; Bailing Yang; Kewei Liang; Xun Wang (Comput. Graph., 2014)

Finite element approximation to the extremal eigenvalue problem for inhomogenous materials. - Kewei Liang; Xiliang Lu; Jerry Zhijian Yang (Numerische Mathematik, 2015)

Deep Euler method: solving ODEs by approximating the local truncation error of the Euler method. - Xing Shen; Xiaoliang Cheng; Kewei Liang (CoRR, 2020)

FGAGT: Flow-Guided Adaptive Graph Tracking. - Chaobing Shan; Chunbo Wei; Bing Deng; Jianqiang Huang; Xian-Sheng Hua 001; Xiaoliang Cheng; Kewei Liang (CoRR, 2020)

DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation. - Xing Shen; Jirui Yang; Chunbo Wei; Bing Deng; Jianqiang Huang; Xian-Sheng Hua 001; Xiaoliang Cheng; Kewei Liang (CVPR, 2021)

A novel extended Kalman filter with support vector machine based method for the automatic diagnosis and segmentation of brain tumors. - Baoshi Chen; Lingling Zhang; Hongyan Chen; Kewei Liang; Xuzhu Chen (Comput. Methods Programs Biomed., 2021)

A two-scaled fully convolutional learning network for road detection. - Dingding Yu; Xianliang Hu; Kewei Liang (IET Image Process., 2022)

A parallel algorithm for multi-AGV systems. - Dingding Yu; Xianliang Hu; Kewei Liang; Jun Ying (J. Ambient Intell. Humaniz. Comput., 2022)

PatchDCT: Patch Refinement for High Quality Instance Segmentation. - Qinrou Wen; Jirui Yang; Xue Yang 005; Kewei Liang (ICLR, 2023)

Multi-Graph Convolution Network for Pose Forecasting. - Hongwei Ren; Yuhong Shi; Kewei Liang (CoRR, 2023)

The joint detection and classification model for spatiotemporal action localization of primates in a group. - Kewei Liang; Zhiyuan Chen; Sen Yang; Yang Yang; Caijie Qin; Xibo Ma (Neural Comput. Appl., 2023)

Numerical analysis of a variational-hemivariational inequality governed by the Stokes equations. - Qichang Xiao; Xiaoliang Cheng; Kewei Liang; Hailing Xuan (Comput. Math. Appl., 2024)

Deep learning nomogram for preoperative distinction between Xanthogranulomatous cholecystitis and gallbladder carcinoma: A novel approach for surgical decision. - Weichen Zhang; Qing Wang; Kewei Liang; Haihao Lin; Dongyan Wu; Yuzhe Han; Hanxi Yu; Keyi Du; Haitao Zhang; Jiawei Hong; Xun Zhong; Lingfeng Zhou; et al. (Comput. Biol. Medicine, 2024)

Enhanced spatial-temporal dynamics in pose forecasting through multi-graph convolution networks. - Hongwei Ren; Xiangran Zhang; Yuhong Shi; Kewei Liang (Int. J. Mach. Learn. Cybern., 2024)

Meta Domain Adaptation Approach for Multi-Domain Ranking. - Zihan Xia; Yixuan Liu; Xiangran Zhang; Xiaoshuang Sheng; Kewei Liang (IEEE Access, 2025)

Numerical analysis and simulation of a quasistatic frictional bilateral contact problem with damage, long-term memory and wear. - Wensi Wang; Hailing Xuan; Xiaoliang Cheng; Kewei Liang (Comput. Math. Appl., 2025)

Multimodal information fusion detection of fall-related disability based on video images and sensing signals. - Yuke Qiu; Yuchen He; Yangwei Ying; Xiaoyu Ma; Hong Zhou; Kewei Liang (Appl. Intell., 2025)