A Realistic Chinese Talking Face. - WenTao Liu; Baocai Yin; XiBin Jia; Dehui Kong (IICAI, 2003)

Audio to visual signal mappings with HMM. - WenTao Liu; Baocai Yin; XiBin Jia; Dehui Kong (ICASSP (5), 2004)

GA-Based Speaking Mouth Correlative Speech Feature Abstraction. - XiBin Jia; Baocai Yin; Yanfeng Sun; Xianping Lin (IEEE ICCI, 2006)

Multi-classifier Fusion Based Facial Expression Recognition Approach. - Xibin Jia; Yanhua Zhang; David M. W. Powers; Humayra Binte Ali (KSII Trans. Internet Inf. Syst., 2014)

Analysis and Determination of Inner Lip texture Descriptors for Visual Speech Representation. - Xibin Jia; Hua Du; Yanfang Han; David M. W. Powers (J. Comput., 2014)

Local Invariance Representation Learning Algorithm with Multi-layer Extreme Learning Machine. - Xibin Jia; Xiaobo Li; Hua Du; Bir Bhanu (ICONIP (4), 2016)

A semi-supervised online sequential extreme learning machine method. - Xibin Jia; Runyuan Wang; Junfa Liu; David M. W. Powers (Neurocomputing, 2016)

A novel edge detection approach using a fusion model. - Xibin Jia; Haiyong Huang; Yanfeng Sun; Jianming Yuan; David M. W. Powers (Multim. Tools Appl., 2016)

A Multiway Semi-supervised Online Sequential Extreme Learning Machine for Facial Expression Recognition with Kinect RGB-D Images. - Xibin Jia; Xinyuan Chen; Jun Miao (ICIC (2), 2017)

Temporal-Spatial Feature Learning of Dynamic Contrast Enhanced-MR Images via 3D Convolutional Neural Networks. - Xibin Jia; Yujie Xiao; Dawei Yang; Zhenghan Yang; Xiaopei Wang; Yunfeng Liu (IGTA, 2018)

Multi-vehicles dynamic navigating method for large-scale event crowd evacuations. - Zhi Cai; Fujie Ren; Yuanying Chi; Xibin Jia; Lijuan Duan; Zhiming Ding (GeoInformatica, 2018)

基于关联规则的交通事故影响因素的挖掘 (Influence Factors Mining of Traffic Accidents Based on Association Rules). - Xibin Jia; Yingjie Ye; Juncheng Chen (计算机科学, 2018)

Words alignment based on association rules for cross-domain sentiment classification. - Xibin Jia; Ya Jin; Ning Li; Xing Su 001; Barry Cardiff; Bir Bhanu (Frontiers Inf. Technol. Electron. Eng., 2018)

Style Consistency Constrained Fusion Feature Learning for Liver Tumor Segmentation. - Yunfeng Liu; Xibin Jia; Zhenghan Yang; Dawei Yang (PRCV (3), 2019)

Region-Enhanced Multi-layer Extreme Learning Machine. - Xibin Jia; Xiaobo Li; Ya Jin; Jun Miao (Cogn. Comput., 2019)

Domain-invariant representation learning using an unsupervised domain adversarial adaptation deep neural network. - Xibin Jia; Ya Jin; Xing Su 001; Yongli Hu (Neurocomputing, 2019)

Multi-parametric MRIs based assessment of Hepatocellular Carcinoma Differentiation with Multi-scale ResNet. - Xibin Jia; Yujie Xiao; Dawei Yang; Zhenghan Yang; Chen Lu (KSII Trans. Internet Inf. Syst., 2019)

A Self-Adaptive Approach for Mobile Wireless Sensors to Achieve Energy Efficient Information Transmission. - Xing Su 001; Zhi Cai; Xibin Jia; Limin Guo 002; Zhiming Ding (IEEE Access, 2020)

An Action Unit co-occurrence constraint 3DCNN based Action Unit recognition approach. - Xibin Jia; Weiting Li; Yuechen Wang; Sung-Chan Hong; Xing Su 001 (KSII Trans. Internet Inf. Syst., 2020)

Multi-modality self-attention aware deep network for 3D biomedical segmentation. - Xibin Jia; Yunfeng Liu; Zhenghan Yang; Dawei Yang (BMC Medical Informatics Decis. Mak., 2020)

MAGAN: Multi-attention Generative Adversarial Networks for Text-to-Image Generation. - Xibin Jia; Qing Mi; Qi Dai (PRCV (4), 2021)

An unsupervised person re-identification approach based on cross-view distribution alignment. - Xibin Jia; Xing Wang; Qing Mi (IET Image Process., 2021)

The effectiveness of data augmentation in code readability classification. - Qing Mi; Yan Xiao 002; Zhi Cai; Xibin Jia (Inf. Softw. Technol., 2021)

Deep-Learning-Based Coronary Artery Calcium Detection from CT Image. - Sungjin Lee; Beanbonyka Rim; Sung-Shick Jou; Hyo-Wook Gil; Xibin Jia; Ahyoung Lee; Min Hong (Sensors, 2021)

Cardiac Detection Using YOLO-v5 with Data Preprocessing. - Sungjin Lee; Xibin Jia; Ahyoung Lee; Hyo-Wook Gil; Sungyeup Kim; Min Hong (CSCI, 2022)

Robust Liver Segmentation Using Boundary Preserving Dual Attention Network. - Yifan Yang; Xibin Jia; Luo Wang (PRCV (2), 2022)

Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience. - Xianjun Han; Nan Luo; Lixue Xu; Jiaxin Cao; Ning Guo; Yi He; Min Hong; Xibin Jia; Zhenchang Wang; Zhenghan Yang (BMC Medical Imaging, 2022)

Student Group Division Algorithm based on Multi-view Attribute Heterogeneous Information Network. - Xibin Jia; Zijia Lu; Qing Mi; Zhefeng An; Xiaoyong Li; Min Hong (KSII Trans. Internet Inf. Syst., 2022)

Boundary-Aware Dual Attention Guided Liver Segment Segmentation Model. - Xibin Jia; Chen Qian; Zhenghan Yang; Hui Xu; Xianjun Han; Hao Ren; Xinru Wu; Boyang Ma; Dawei Yang; Hong Min (KSII Trans. Internet Inf. Syst., 2022)

Data-aware relation learning-based graph convolution neural network for facial action unit recognition. - Xibin Jia; Yuhan Zhou; Weiting Li; Jinghua Li; Baocai Yin (Pattern Recognit. Lett., 2022)

A Multimodality-Contribution-Aware TripNet for Histologic Grading of Hepatocellular Carcinoma. - Xibin Jia; Zheng Sun; Qing Mi; Zhenghan Yang; Dawei Yang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

A Few-Shot Medical Image Segmentation Network with Boundary Category Correction. - Zeyu Xu; Xibin Jia; Xiong Guo; Luo Wang; Yiming Zheng (PRCV (10), 2023)

A novel dual-channel graph convolutional neural network for facial action unit recognition. - Xibin Jia; Shaowu Xu; Yuhan Zhou; Luo Wang; Weiting Li (Pattern Recognit. Lett., 2023)

What makes a readable code? A causal analysis method. - Qing Mi; Mingjie Chen; Zhi Cai; Xibin Jia (Softw. Pract. Exp., 2023)

An improved unified domain adversarial category-wise alignment network for unsupervised cross-domain sentiment classification. - Xibin Jia; Chen Li; Meng Zeng; Luo Wang; Qing Mi (Eng. Appl. Artif. Intell., 2023)

Graph Contrastive Learning with Constrained Graph Data Augmentation. - Shaowu Xu; Luo Wang; Xibin Jia (Neural Process. Lett., 2023)

SliceMamba for Medical Image Segmentation. - Chao Fan 001; Hongyuan Yu; Luo Wang; Yan Huang 008; Liang Wang 001; Xibin Jia (CoRR, 2024)

Multi-scale Main-auxiliary MRI Sequences Fusion Based U-Net for Focal Lesion Segmentation. - Xibin Jia; Chuanxu Yang; Yifan Yang; Chen Qian; Luo Wang; Zhenghan Yang; Hui Xu; Xianjun Han; Hao Ren; Xinru Wu; Boyang Ma; Dawei Yang (KSII Trans. Internet Inf. Syst., 2025)

Cross-Modal Dual-Causal Learning for Long-Term Action Recognition. - Shaowu Xu; Xibin Jia; Junyu Gao 002; Sun Qianmei; Chang Jing; Fan Chao 001 (CoRR, 2025)

18F-FDG PET/CT-based deep learning models and a clinical-metabolic nomogram for predicting high-grade patterns in lung adenocarcinoma. - Yue Guo; Xibin Jia; Chuanxu Yang; Chao Fan 001; Hui Zhu; Xu Chen; Fugeng Liu (BMC Medical Imaging, 2025)

Semi-supervised boundary-aware medical image segmentation via symmetric boundary-foreground collaboration. - Xibin Jia; Wang Zhang; Luo Wang; Chuanxu Yang; Xunjie Yin; Hao Jia; Yiming Zheng; Zhenghan Yang; Dawei Yang; Min Hong; Hui Xu (Expert Syst. Appl., 2026)