A Two-Phase Generation Model for Automatic Image Annotation. - Liang Xie 001; Peng Pan 001; Yansheng Lu; Shixun Wang; Tong Zhu; Haijiao Xu; Deng Chen (ISM, 2013)

Bimodal Learning for Multi-concept Image Query. - Haijiao Xu; Peng Pan 001; Yansheng Lu; Chunyan Xu; Deng Chen (CIS, 2014)

Improving Automatic Image Annotation with Google Semantic Link. - Haijiao Xu; Peng Pan 001; Yansheng Lu; Chunyan Xu; Deng Chen (SKG, 2014)

Image retrieval based on multi-concept detector and semantic correlation. - Haijiao Xu; Changqin Huang; Peng Pan 001; Gansen Zhao; Chunyan Xu; Yansheng Lu; Deng Chen; Jiyi Wu (Sci. China Inf. Sci., 2015)

Design of a panorama parking system based on DM6437. - Deng Chen; Yanduo Zhang; Wei Wei; Xiaolin Li; Xun Li; Tao Lu 001; Huabing Zhou; Rui Zhu; Haijiao Xu; Li Peng 003 (CISP-BMEI, 2016)

Image auto-annotation via concept interdependency network. - Haijiao Xu; Peng Pan 001; Chunyan Xu; Yansheng Lu; Deng Chen (Multim. Tools Appl., 2016)

Combining Convolutional Neural Network and Markov Random Field for Semantic Image Retrieval. - Haijiao Xu; Changqin Huang; Xiaodi Huang; Chunyan Xu; Muxiong Huang (Adv. Multim., 2018)

Large-scale semantic web image retrieval using bimodal deep learning techniques. - Changqin Huang; Haijiao Xu; Liang Xie 001; Jia Zhu 003; Chunyan Xu; Yong Tang 001 (Inf. Sci., 2018)

Enhanced Photoluminescence of Bi/Er Co-doped Fiber by Quenching and Cooling under 830 nm Pumping. - Haijiao Xu; Binbin Yan; Jinfeng Lin; Yanhua Luo; Pengfei Lu; Kuiru Wang; Chongxiu Yu; Jinhui Yuan; Xinzhu Sang; Shiwei Cai; Gang-Ding Peng (OECC/PSC, 2019)

Learning performance prediction via convolutional GRU and explainable neural networks in e-learning environments. - Xizhe Wang; Pengze Wu; Guang Liu; Qionghao Huang; Xiaoling Hu 004; Haijiao Xu (Computing, 2019)

Enhancing semantic image retrieval with limited labeled examples via deep learning. - Haijiao Xu; Changqin Huang; Dianhui Wang 001 (Knowl. Based Syst., 2019)

Multi-modal multi-concept-based deep neural network for automatic image annotation. - Haijiao Xu; Changqin Huang; Xiaodi Huang; Muxiong Huang (Multim. Tools Appl., 2019)

Stock trend prediction based on industry relationships driven hypergraph attention networks. - Haodong Han; Liang Xie 001; Shengshuang Chen; Haijiao Xu (Appl. Intell., 2023)

Multi-Granularity Spatio-Temporal Correlation Networks for Stock Trend Prediction. - Jiahao Chen; Liang Xie 001; Wenjing Lin; Yuchen Wu; Haijiao Xu (IEEE Access, 2024)

Stock trend prediction based on dynamic hypergraph spatio-temporal network. - Sihao Liao; Liang Xie 001; Yuanchuang Du; Shengshuang Chen; Hongyang Wan; Haijiao Xu (Appl. Soft Comput., 2024)

DTSMLA: A dynamic task scheduling multi-level attention model for stock ranking. - Yuanchuang Du; Liang Xie 001; Sihao Liao; Shengshuang Chen; Yuchen Wu; Haijiao Xu (Expert Syst. Appl., 2024)

Multi-resolution Patch-based Fourier Graph Spectral Network for spatiotemporal time series forecasting. - Jiankai Zheng; Liang Xie 001; Haijiao Xu (Neurocomputing, 2025)