Linear Feature Separation From Topographic Maps Using Energy Density and the Shear Transform. - Qiguang Miao; Pengfei Xu 003; Tiange Liu; Yun Yang; Junying Zhang; Weisheng Li 001 (IEEE Trans. Image Process., 2013)

Multi-direction Edge Detection Operator. - Pengfei Xu 003; Qiguang Miao; Tiange Liu; Xiaojiang Chen (CIS, 2015)

A novel fast image segmentation algorithm for large topographic maps. - Qiguang Miao; Pengfei Xu 003; Tiange Liu; Jianfeng Song; Xiaojiang Chen (Neurocomputing, 2015)

A contour-line color layer separation algorithm based on fuzzy clustering and region growing. - Tiange Liu; Qiguang Miao; Pengfei Xu 003; Yubing Tong; Jianfeng Song; Ge Xia; Yun Yang; Xiaojie Zhai (Comput. Geosci., 2016)

Graphic-based character grouping in topographic maps. - Pengfei Xu 003; Qiguang Miao; Tiange Liu; Xiaojiang Chen; Weike Nie (Neurocomputing, 2016)

SCTMS: Superpixel based color topographic map segmentation method. - Tiange Liu; Qiguang Miao; Kuan Tian; Jianfeng Song; Yun Yang; Yutao Qi (J. Vis. Commun. Image Represent., 2016)

Color topographical map segmentation Algorithm based on linear element features. - Tiange Liu; Qiguang Miao; Pengfei Xu 003; Jianfeng Song; Yi-Ning Quan (Multim. Tools Appl., 2016)

Guided Superpixel Method for Topographic Map Processing. - Qiguang Miao; Tiange Liu; Jianfeng Song; Maoguo Gong; Yun Yang (IEEE Trans. Geosci. Remote. Sens., 2016)

LaG-DESIQUE: A Local-and-Global Blind Image Quality Evaluator Without Training on Human Opinion Scores. - Ruyi Liu; Yi Zhang 033; Damon M. Chandler; Qiguang Miao; Tiange Liu (Big Data (CCF), 2018)

Line separation from topographic maps using regional color and spatial information. - Pengfei Xu 003; Qiguang Miao; Tiange Liu; Xiaojiang Chen; Dingyi Fang (IJCAI, 2018)

Body Composition Segmentation Based on Dual-pathway Deep Dilated Convolutional Neural Network. - Tiange Liu; Pengfei Xu 003; Yuchang Bo (ISICDM, 2019)

A review of recent advances in scanned topographic map processing. - Tiange Liu; Pengfei Xu 003; Shihui Zhang (Neurocomputing, 2019)

Superpixel-Based Shallow Convolutional Neural Network (SSCNN) for Scanned Topographic Map Segmentation. - Tiange Liu; Qiguang Miao; Pengfei Xu 003; Shihui Zhang (Remote. Sens., 2020)

Scheduling Strategy Design Framework for Cyber-Physical System with Non-Negligible Propagation Delay. - Zuoyu An; Shaohua Wu; Tiange Liu; Jian Jiao 001; Qinyu Zhang 001 (Entropy, 2021)

An anatomy-based iteratively searching convolutional neural network for organ localization in CT images. - Tiange Liu; Meng Tan; Yubing Tong; Drew A. Torigian; Jayaram K. Udupa (Image Processing, 2022)

Modal Logics for Mobile Processes Revisited. - Tiange Liu; Alwen Tiu; Jim de Groot (CONCUR, 2023)

Auto-segmentation of thoraco-abdominal organs in free breathing pediatric dynamic MRI. - Yusuf Akhtar; Jayaram K. Udupa; Yubing Tong; Tiange Liu; Caiyun Wu; Dewey Odhner; Joseph M. McDonough; Carina Lott; Abbie Clark; Jason B. Anari; Patrick J. Cahill; Drew A. Torigian (Image-Guided Procedures, 2023)

Auto-segmentation of thoracic brachial plexuses for radiation therapy planning. - Ademola Enitan Ilesanmi; Jayaram K. Udupa; Yubing Tong; Tiange Liu; Dewey Odhner; Gargi Pednekar; Sanghita Nag; Sharon Lewis; Joe Camaratta; Steve Owens; Drew A. Torigian (Image-Guided Procedures, 2023)

XctDiff: Reconstruction of CT Images with Consistent Anatomical Structures from a Single Radiographic Projection Image. - Qingze Bai; Tiange Liu; Zhi Liu; Yubing Tong; Drew A. Torigian; Jayaram K. Udupa (CoRR, 2024)

AutoStep: Locally adaptive involutive MCMC. - Tiange Liu; Nikola Surjanovic; Miguel Biron-Lattes; Alexandre Bouchard-Côté; Trevor Campbell (CoRR, 2024)

A radial basis deformable residual convolutional neural model embedded with local multi-modal feature knowledge and its application in cross-subject classification. - Jingjing Li; Yanhong Zhou; Tiange Liu; Tzyy-Ping Jung; Xianglong Wan; Dingna Duan; Danyang Li; Hao Yu; Haiqing Song; Xianling Dong; Dong Wen 002 (Expert Syst. Appl., 2024)

The EEG signals steganography based on wavelet packet transform-singular value decomposition-logistic. - Dong Wen 002; Wenlong Jiao; Xiaoling Li; Xianglong Wan; Yanhong Zhou; Xianling Dong; Haiqing Song; Wei Han; Tiange Liu; Dingna Duan (Inf. Sci., 2024)

VSmTrans: A hybrid paradigm integrating self-attention and convolution for 3D medical image segmentation. - Tiange Liu; Qingze Bai; Drew A. Torigian; Yubing Tong; Jayaram K. Udupa (Medical Image Anal., 2024)

GA-Net: A geographical attention neural network for the segmentation of body torso tissue composition. - Jian Dai; Tiange Liu; Drew A. Torigian; Yubing Tong; Shiwei Han; Pengju Nie; Jing Zhang; Ran Li; Fei Xie; Jayaram K. Udupa (Medical Image Anal., 2024)

Open Bisimilarity for the π-Calculus with Mismatch. - Tiange Liu; Alwen Tiu; Ross Horne (CONCUR, 2025)

A novel AI-driven EEG images emotion recognition generalized classification model for cross-subject analysis. - Jingjing Li; Ching-Hung Lee; Dingna Duan; Yanhong Zhou; Xueguang Xie; Xianglong Wan; Tiange Liu; Danyang Li; Hao Yu; W. Z. W. Hasan; Haiqing Song; Dong Wen 002 (Adv. Eng. Informatics, 2025)

A novel AI-driven EEG generalized classification model for cross-subject and cross-scene analysis. - Jingjing Li; Ching-Hung Lee; Yanhong Zhou; Tiange Liu; Tzyy-Ping Jung; Xianglong Wan; Dingna Duan; Dong-Qing Wei (Adv. Eng. Informatics, 2025)

Study on urban green development efficiency of Jiangsu, Zhejiang and Fujian in China: a mixed network SBM approach. - Dan Liu; Tiange Liu; Yuting Zheng (Kybernetes, 2025)

PZS-Net: Incorporating of Frame Sequence and Multi-Scale Priors for Prostate Zonal Segmentation in Transrectal Ultrasound. - Jianguo Ju; Qian Zhang; Pengfei Xu 003; Tiange Liu; Cheng Li; Ziyu Guan (Adv. Intell. Syst., 2025)