A knowledge-based problem solving method in GIS application. - Hui Wei 001; Qing-xin Xu; Xue-Song Tang (Knowl. Based Syst., 2011)

A genetic algorithm(GA)-based method for the combinatorial optimization in contour formation. - Hui Wei 001; Xue-Song Tang; Hang Liu (Appl. Intell., 2015)

A Genetic-Algorithm-Based Explicit Description of Object Contour and its Ability to Facilitate Recognition. - Hui Wei 001; Xue-Song Tang (IEEE Trans. Cybern., 2015)

A new multilayer LSTM method of reconstruction for compressed sensing in acquiring human pressure data. - Tao Han; Kuangrong Hao; Yongsheng Ding; Xue-Song Tang (ASCC, 2017)

Using line segments to train multi-stream stacked autoencoders for image classification. - Xue-Song Tang; Kuangrong Hao; Hui Wei 001; Yongsheng Ding (Pattern Recognit. Lett., 2017)

3D Imaging of Greenhouse Plants with an Inexpensive Binocular Stereo Vision System. - Dawei Li 001; Lihong Xu; Xue-Song Tang; Shaoyuan Sun; Xin Cai; Peng Zhang (Remote. Sens., 2017)

A sparse autoencoder compressed sensing method for acquiring the pressure array information of clothing. - Tao Han; Kuangrong Hao; Yongsheng Ding; Xue-Song Tang (Neurocomputing, 2018)

Trace Ratio Criterion based Discriminative Feature Selection via l2, p-norm regularization for supervised learning. - Mingbo Zhao; Mingquan Lin; Bernard Chiu; Zhao Zhang 001; Xue-Song Tang (Neurocomputing, 2018)

A Novel Method Based on Line-Segment Visualizations for Hyper-Parameter Optimization in Deep Networks. - Xue-Song Tang; Yongsheng Ding; Kuangrong Hao (Int. J. Pattern Recognit. Artif. Intell., 2018)

Leaf Segmentation on Dense Plant Point Clouds with Facet Region Growing. - Dawei Li 001; Yan Cao 006; Xue-Song Tang; Siyuan Yan; Xin Cai (Sensors, 2018)

The multi-objective optimization of esterification process based on improved NSGA-III algorithm. - Xiuli Zhu; Kuangrong Hao; Xue-Song Tang; Tong Wang 013; Yicun Hua; Xiaoyan Liu (ASCC, 2019)

A Real-Time Anomaly Detection Approach Based on Sparse Distributed Representation. - Weikai Wang; Chenwei Zhao; Kuangrong Hao; Xue-Song Tang; Tong Wang 013 (CAA SAFEPROCESS, 2019)

Sub-Graph Regularization for Scalable Semi-supervised Classification. - Mingbo Zhao; Yue Zhang 004; Xue-Song Tang (INDIN, 2019)

Using a Vertical-Stream Variational Auto-Encoder to Generate Segment-Based Images and Its Biological Plausibility for Modelling the Visual Pathways. - Xue-Song Tang; Hui Wei 001; Kuangrong Hao (IEEE Access, 2019)

A New Cross Clustering Algorithm for Improving Performance of Supervised Learning. - Wenshuo Zhou; Kuangrong Hao; Chunli Jiang; Lei Chen 064; Xue-Song Tang; Xin Cai (IEEE Access, 2019)

A segment-wise prediction based on genetic algorithm for object recognition. - Xue-Song Tang; Hui Wei 001 (Neural Comput. Appl., 2019)

An Advanced Actor-Critic Algorithm for Training Video Game AI. - Zhongyi Zha; Xue-Song Tang; Bo Wang 032 (NCAA, 2020)

A Novel Similarity Measurement and Clustering Framework for Time Series Based on Convolution Neural Networks. - Xin Ding; Kuangrong Hao; Xin Cai; Xue-Song Tang; Lei Chen 064; Haichao Zhang (IEEE Access, 2020)

Double-stream atrous network for shadow detection. - Dawei Li 001; Sifan Wang; Xue-Song Tang; Weijian Kong; Guoliang Shi; Yang Chen (Neurocomputing, 2020)

Integrating pixels and segments: A deep-learning method inspired by the informational diversity of the visual pathways. - Xue-Song Tang; Hui Wei 001; Kuangrong Hao; Mingbo Zhao; Dawei Li 001 (Neurocomputing, 2020)

A biologically inspired visual integrated model for image classification. - Bing Wei; Kuangrong Hao; Lei Gao 002; Xue-Song Tang; Yudi Zhao (Neurocomputing, 2020)

A visual long-short-term memory based integrated CNN model for fabric defect image classification. - Yudi Zhao; Kuangrong Hao; Haibo He; Xue-Song Tang; Bing Wei (Neurocomputing, 2020)

Detecting textile micro-defects: A novel and efficient method based on visual gain mechanism. - Bing Wei; Kuangrong Hao; Lei Gao 002; Xue-Song Tang (Inf. Sci., 2020)

A multi-feature fusion model for Chinese relation extraction with entity sense. - Jiangying Zhang; Kuangrong Hao; Xue-Song Tang; Xin Cai; Yan Xiao; Tong Wang 013 (Knowl. Based Syst., 2020)

Visual interaction networks: A novel bio-inspired computational model for image classification. - Bing Wei; Haibo He; Kuangrong Hao; Lei Gao 002; Xue-Song Tang (Neural Networks, 2020)

A Chinese Dataset Building Method Based on Data Hierarchy and Balance Analysis in Knowledge Graph Completion. - Yunwei Shi; Kuangrong Hao; Xue-Song Tang; Tong Wang 013 (BIC-TA (2), 2021)

Solder Joint Defect Detection Based on Depth Image CNN for 3D Shape Classification. - Zifan Shao; Kuangrong Hao; Bing Wei; Xue-Song Tang (CAA SAFEPROCESS, 2021)

An improved moth-flame optimization algorithm based on fusion mechanism. - Luchao Jiang; Kuangrong Hao; Xue-Song Tang; Tong Wang 013; Xiaoyan Liu (IECON, 2021)

A conditional variational autoencoder based self-transferred algorithm for imbalanced classification. - Yudi Zhao; Kuangrong Hao; Xue-Song Tang; Lei Chen 064; Bing Wei (Knowl. Based Syst., 2021)

Bioinspired Visual-Integrated Model for Multilabel Classification of Textile Defect Images. - Bing Wei; Kuangrong Hao; Lei Gao 002; Xue-Song Tang (IEEE Trans. Cogn. Dev. Syst., 2021)

Vision Transformer with Convolutions Architecture Search. - Haichao Zhang; Kuangrong Hao; Witold Pedrycz; Lei Gao 002; Xue-Song Tang; Bing Wei (CoRR, 2022)

A dynamic soft sensor of industrial fuzzy time series with propositional linear temporal logic. - Xu Huo; Kuangrong Hao; Lei Chen 064; Xue-Song Tang; Tong Wang 013; Xin Cai (Expert Syst. Appl., 2022)

A reliable solder joint inspection method based on a light-weight point cloud network and modulated loss. - Haijian Li; Kuangrong Hao; Bing Wei; Xue-Song Tang; Qiming Hu (Neurocomputing, 2022)

A line-segment-based non-maximum suppression method for accurate object detection. - Xue-Song Tang; Xianlin Xie; Kuangrong Hao; Dawei Li 001; Mingbo Zhao (Knowl. Based Syst., 2022)

Dual-stream shadow detection network: biologically inspired shadow detection for remote sensing images. - Dawei Li 001; Sifan Wang; Shiyu Xiang; Jinsheng Li; Yanping Yang; Xue-Song Tang (Neural Comput. Appl., 2022)

DB-NMS: improving non-maximum suppression with density-based clustering. - Li Rui; Xue-Song Tang; Kuangrong Hao (Neural Comput. Appl., 2022)

Boosting the transferability of adversarial examples via stochastic serial attack. - Lingguang Hao; Kuangrong Hao; Bing Wei; Xue-Song Tang (Neural Networks, 2022)

A Compressed Sensing Network for Acquiring Human Pressure Information. - Tao Han; Kuangrong Hao; Xue-Song Tang; Xin Cai; Tong Wang 013; Xiaoyan Liu (IEEE Trans. Cogn. Dev. Syst., 2022)

Knowledge Graph-Based Credibility Evaluation Method for Electric Grid Large Language Model Knowledge Question-Answering. - Wenqing Li; Xiaoman Qi; Qi Zhao; Chen Wang 094; Qiongyu Wu; Xue-Song Tang (EITCE, 2023)

Knowledge Graphs Enhanced Large Language Model Prompt for Electric Power Question Answering. - Chen Wang 094; Min Hua; Jiale Song; Xue-Song Tang (EITCE, 2023)

Re-Introducing BN Into Transformers for Vision Tasks. - Xue-Song Tang; Xianlin Xie (IEEE Access, 2023)

Optimizing Deep Neural Networks Through Neuroevolution With Stochastic Gradient Descent. - Haichao Zhang; Kuangrong Hao; Lei Gao 002; Bing Wei; Xue-Song Tang (IEEE Trans. Cogn. Dev. Syst., 2023)

Evaluate, explain, and explore the state more exactly: an improved Actor-Critic algorithm for complex environment. - Zhongyi Zha; Bo Wang 032; Xue-Song Tang (Neural Comput. Appl., 2023)

A bio-inspired positional embedding network for transformer-based models. - Xue-Song Tang; Kuangrong Hao; Hui Wei 001 (Neural Networks, 2023)

Skeleton-Based Point Cloud Sampling and Its Facilitation to Classification. - Yugang Guo; Xue-Song Tang; Kuangrong Hao (NCAA (1), 2024)

Show, tell and rectify: Boost image caption generation via an output rectifier. - Guowei Ge; Yufeng Han; Lingguang Hao; Kuangrong Hao; Bing Wei; Xue-Song Tang (Neurocomputing, 2024)

Enhanced Gradient for Differentiable Architecture Search. - Haichao Zhang; Kuangrong Hao; Lei Gao 002; Xue-Song Tang; Bing Wei (IEEE Trans. Neural Networks Learn. Syst., 2024)

A novel density-based representation for point cloud and its ability to facilitate classification. - Xianlin Xie; Xue-Song Tang (IET Image Process., 2024)

A deep neural network for small object detection in complex environments with unmanned aerial vehicle imagery. - Sayed Jobaer; Xue-Song Tang; Yihong Zhang (Eng. Appl. Artif. Intell., 2025)

Grid Mamba:Grid State Space Model for large-scale point cloud analysis. - Yulong Yang; Tianzhou Xun; Kuangrong Hao; Bing Wei; Xue-Song Tang (Neurocomputing, 2025)

GEXMERT: Geometrically enhanced cross-modality encoder representations from transformers inspired by higher-order visual percepts. - Feiyang Chen; Xue-Song Tang; Kuangrong Hao (Pattern Recognit., 2025)

From visual features to key concepts: A Dynamic and Static Concept-driven approach for video captioning. - Xin Ren; Yufeng Han; Bing Wei; Xue-Song Tang; Kuangrong Hao (Pattern Recognit. Lett., 2025)

Adaptive knowledge graph for multi-label image classification. - Zhihong Lin; Xue-Song Tang; Kuangrong Hao; Mingbo Zhao; Yubing Li (Appl. Intell., 2025)

GFPE-ViT: vision transformer with geometric-fractal-based position encoding. - Lei Wang; Xue-Song Tang; Kuangrong Hao (Vis. Comput., 2025)

Multi-Target Federated Backdoor Attack Based on Feature Aggregation. - Lingguag Hao; Kuangrong Hao; Bing Wei; Xue-Song Tang (CoRR, 2025)

CRMR: A Collaborative Multistep Reasoning Framework for Solving Mathematical Problems. - Yudi Zhang; Xue-Song Tang; Kuangrong Hao (Mach. Intell. Res., 2025)