Image Retrieval Based on MPEG-7 Dominant Color Descriptor. - Hong Shao; Yueshu Wu; Wen-cheng Cui; Jinxia Zhang (ICYCS, 2008)

Optimized Sensing Matrix Design Based on Parseval Tight Frame and Matrix Decomposition. - Ai-Ping Yang; Jinxia Zhang; Zheng-Xin Hou (J. Commun., 2013)

A prior-based graph for salient object detection. - Jinxia Zhang; Krista A. Ehinger; Jundi Ding; Jing-Yu Yang 001 (ICIP, 2014)

Analysis of the Eco-Efficiency Change of Chinese Provinces: An Approach Based on Effect Matrix Analysis. - Shixiu Bai; Jinxia Zhang; Song Peng; Guoshuang Tian (Int. J. Agric. Environ. Inf. Syst., 2014)

Exploiting global rarity, local contrast and central bias for salient region learning. - Jinxia Zhang; Jundi Ding; Jingyu Yang (Neurocomputing, 2014)

Reading Text in Natural Scene Images via Deep Neural Networks. - Haifeng Zhao 002; Yong Hu; Jinxia Zhang (ACPR, 2017)

Character Recognition via a Compact Convolutional Neural Network. - Haifeng Zhao 002; Yong Hu; Jinxia Zhang (DICTA, 2017)

Probabilistic Hypergraph Optimization for Salient Object Detection. - Jinxia Zhang; Shixiong Fang; Krista A. Ehinger; Weili Guo; Wankou Yang; Haikun Wei (IScIDE, 2017)

A novel graph-based optimization framework for salient object detection. - Jinxia Zhang; Krista A. Ehinger; Haikun Wei; Kanjian Zhang; Jingyu Yang 001 (Pattern Recognit., 2017)

Erratum to: A novel graph-based optimization framework for salient object detection [Pattern Recognition 64C (2017) 39-50]. - Jinxia Zhang; Krista A. Ehinger; Haikun Wei; Kanjian Zhang; Jingyu Yang 001 (Pattern Recognit., 2017)

Salient Object Detection Via Deformed Smoothness Constraint. - Xiyin Wu; Xiaodi Ma; Jinxia Zhang; Andong Wang; Zhong Jin (ICIP, 2018)

Hypergraph Optimization for Salient Region Detection Based on Foreground and Background Queries. - Jinxia Zhang; Shixiong Fang; Krista A. Ehinger; Haikun Wei; Wankou Yang; Kanjian Zhang; Jingyu Yang 001 (IEEE Access, 2018)

Stability analysis of opposite singularity in multilayer perceptrons. - Weili Guo; Junsheng Zhao; Jinxia Zhang; Haikun Wei; Aiguo Song; Kanjian Zhang (Neurocomputing, 2018)

Multiple Gestalt principles-based graph for salient region detection. - Jinxia Zhang; Shixiong Fang; Haifeng Zhao 002; Guang-Hai Liu 001; Haikun Wei; Lihuan Chen; Kanjian Zhang (J. Electronic Imaging, 2018)

Semi-supervised Early Event Detection. - Liping Xie; Chen Gong; Jinxia Zhang; Shuo Shan; Haikun Wei (ACPR (2), 2019)

Wind Power Generation Prediction Based on LSTM. - Jinxia Zhang; Xuru Jiang; Xin Chen; Xiaojing Li; Dong Guo; Lixin Cui (ICMAI, 2019)

Salient object detection via reliable boundary seeds and saliency refinement. - Xiyin Wu; Xiaodi Ma; Jinxia Zhang; Zhong Jin (IET Comput. Vis., 2019)

An Unsupervised Multi-scale Micro-crack Segmentation Scheme for Multicrystalline Solar Cells. - Weijing Dou; Shuo Shan; Nawei Zhang; Jinxia Zhang; Kanjian Zhang; Haikun Wei (ICSSE, 2020)

A Robust Automatic Method for Removing Projective Distortion of Photovoltaic Modules from Close Shot Images. - Yu Shen; Xinyi Chen; Jinxia Zhang; Liping Xie; Kanjian Zhang; Haikun Wei (PRCV (1), 2020)

A Deep Two-Stage Scheme for Polycrystalline Micro-Crack Detection. - Sirui Chen; Shuo Shan; Liping Xie; Haikun Wei; Jinxia Zhang (PRIS, 2020)

A Multilevel Fire Detection Platform Based on Multi-Source Heterogeneous Information Fusion. - Bichen Hua; Kanjian Zhang; Haikun Wei; Jinxia Zhang; Liping Xie (PRIS, 2020)

Omnidirectional Motion Input: The Basis of Natural Interaction in Room-Scale Virtual Reality. - Ziyao Wang; Liping Xie; Haikun Wei; KanJian Zhang; Jinxia Zhang (VR Workshops, 2020)

ST-CSNN: a novel method for vehicle counting. - Kang Yin; Liantao Wang; Jinxia Zhang (Mach. Vis. Appl., 2021)

Salient Object Detection by Fusing Local and Global Contexts. - Qinghua Ren; Shijian Lu; Jinxia Zhang; Renjie Hu (IEEE Trans. Multim., 2021)

Domain adaptation for epileptic EEG classification using adversarial learning and Riemannian manifold. - Peizhen Peng; Liping Xie; Kanjian Zhang; Jinxia Zhang; Lu Yang; Haikun Wei (Biomed. Signal Process. Control., 2022)

Management and information disclosure of electric power environmental and social governance issues in the age of artificial intelligence. - Shixiu Bai; Jinxia Zhang (Comput. Electr. Eng., 2022)

A lightweight network for photovoltaic cell defect detection in electroluminescence images based on neural architecture search and knowledge distillation. - Jinxia Zhang; Xinyi Chen; Haikun Wei; Kanjian Zhang (CoRR, 2023)

RGB-D salient object ranking based on depth stack and truth stack for complex indoor scenes. - Jingzheng Deng; Jinxia Zhang; Zewen Hu; Liantao Wang; Jiacheng Jiang; Xinchao Zhu; Xinyi Chen; Yin Yuan; Chao Wang (Pattern Recognit., 2023)

Automatic Detection of Defective Solar Cells in Electroluminescence Images via Global Similarity and Concatenated Saliency Guided Network. - Jinxia Zhang; Yu Shen; Jiacheng Jiang; Shixiong Fang; Liping Chen; Tingting Yan; Zuoyong Li; Kanjian Zhang; Haikun Wei; Weili Guo (IEEE Trans. Ind. Informatics, 2023)

Instance-dimension dual contrastive learning of visual representations. - Qingrui Liu; Liantao Wang; Qinxu Wang; Jinxia Zhang (Mach. Vis. Appl., 2023)

Subjective Quality Assessment of Thermal Infrared Images. - Guanghui Yue 001; Lixin Zhang; Jinxia Zhang; Zhaofei Xu; Shuigen Wang; Tianwei Zhou; Yuanhao Gong; Wei Zhou 021 (ICIP, 2024)

Shifting Spotlight for Co-supervision: A Simple yet Efficient Single-branch Network to See Through Camouflage. - Yang Hu; Jinxia Zhang; Kaihua Zhang; Yin Yuan (CoRR, 2024)

Research on entity relation extraction for Chinese medical text. - Yonghe Lu; Hongyu Chen; Yueyun Zhang; Jiahui Peng; Dingcheng Xiang; Jinxia Zhang (Health Informatics J., 2024)

Medical Named Entity Recognition Model Based on Knowledge Graph Enhancement. - Yonghe Lu; Ruijie Zhao 004; Xiuxian Wen; Xinyu Tong; Dingcheng Xiang; Jinxia Zhang (Int. J. Pattern Recognit. Artif. Intell., 2024)

Erratum: Medical Named Entity Recognition Model Based on Knowledge Graph Enhancement. - Yonghe Lu; Ruijie Zhao 004; Xiuxian Wen; Xinyu Tong; Dingcheng Xiang; Jinxia Zhang (Int. J. Pattern Recognit. Artif. Intell., 2024)

An improved data augmentation approach and its application in medical named entity recognition. - Hongyu Chen; Li Dan; Yonghe Lu; Minghong Chen; Jinxia Zhang (BMC Medical Informatics Decis. Mak., 2024)

Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples. - Yeyuan Wang; Dehong Gao; Lei Yi; Linbo Jin; Jinxia Zhang; Libin Yang; Xiaoyan Cai (AAAI, 2025)

MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators. - Qingyu Lu; Liang Ding 006; Kanjian Zhang; Jinxia Zhang; Dacheng Tao (COLING, 2025)

Shifting Spotlight for Co-supervision: A Simple yet Efficient Single-branch Network to See Through Camouflage. - Yang Hu; Jinxia Zhang; Kaihua Zhang; Yin Yuan; Jiale Huang; Zechao Zhan; Xin Wang (ICASSP, 2025)

FashionFAE: Fine-grained Attributes Enhanced Fashion Vision-Language Pre-training. - Jiale Huang; Dehong Gao; Jinxia Zhang; Zechao Zhan; Yang Hu; Xin Wang (ICASSP, 2025)

CoF: Coarse to Fine-Grained Image Understanding for Multi-modal Large Language Models. - Yeyuan Wang; Dehong Gao; Bin Li; Rujiao Long; Lei Yi; Xiaoyan Cai; Libin Yang; Jinxia Zhang; Shanqing Yu; Qi Xuan 001 (ICASSP, 2025)

MADiff: Text-Guided Fashion Image Editing with Mask Prediction and Attention-Enhanced Diffusion. - Zechao Zhan; Dehong Gao; Jinxia Zhang; Jiale Huang; Yang Hu; Xin Wang (ICASSP, 2025)

Fault diagnosis method of mining vibrating screen mesh based on an improved algorithm. - Fusheng Niu; Jiahui Wu; Jinxia Zhang; Zhiheng Nie; Guang Song; Xiongsheng Zhu; Shuo Wang (Eng. Appl. Artif. Intell., 2025)

DICO: Distance-weighted Contrast and Instance Correlation for salient object ranking. - Jinxia Zhang; Xinchao Zhu; Min Huang; Haikun Wei; Shixiong Fang; Kanjian Zhang (Neurocomputing, 2025)

Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments. - Qingyu Lu; Liang Ding 006; Siyi Cao; Xuebo Liu 002; Kanjian Zhang; Jinxia Zhang; Dacheng Tao (CoRR, 2025)