Sensitivity analysis of multilayer perceptron to input perturbation. - Xiaoqin Zeng; Daniel S. Yeung; Xuequan Sun (SMC, 2000)

Sensitivity Analysis of Multilayer Perceptron. - Daniel S. Yeung; Xuequan Sun; Xiaoqin Zeng (IJCAI, 2001)

Sensitivity analysis of multilayer perceptron to input and weight perturbations. - Xiaoqin Zeng; Daniel S. Yeung (IEEE Trans. Neural Networks, 2001)

Determining the relevance of input features for multilayer perceptrons. - Xiaoqin Zeng; Yajuan Huang; Daniel S. Yeung (SMC, 2003)

A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation. - Xiaoqin Zeng; Daniel S. Yeung (Neural Comput., 2003)

Sensitivity Analysis of Madalines to Weight Perturbation. - Yingfeng Wang; Xiaoqin Zeng; Daniel S. Yeung (ICMLC, 2005)

RGG+: An Enhancement to the Reserved Graph Grammar Formalism. - Xiaoqin Zeng; Kang Zhang 001; Jun Kong; Guang-Lei Song (VL/HCC, 2005)

Using a Sensitivity Measure to Improve Training Accuracy and Convergence for Madalines. - Yingfeng Wang; Xiaoqin Zeng (IJCNN, 2006)

Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure. - Xiaoqin Zeng; Daniel S. Yeung (Neurocomputing, 2006)

Computation of Madalines' Sensitivity to Input and Weight Perturbations. - Yingfeng Wang; Xiaoqin Zeng; Daniel S. Yeung; Zhihang Peng (Neural Comput., 2006)

Computation of Adalines' sensitivity to weight perturbation. - Xiaoqin Zeng; Yingfeng Wang; Kang Zhang 001 (IEEE Trans. Neural Networks, 2006)

Spatial graph grammars for graphical user interfaces. - Jun Kong; Kang Zhang 001; Xiaoqin Zeng (ACM Trans. Comput. Hum. Interact., 2006)

Ensemble Learning Based on the Output Sensitivity of Multilayer Perceptrons. - Jia Tang; Xiaoqin Zeng; Lei Lu (IJCNN, 2007)

Neural network ensemble pruning using sensitivity measure in web applications. - Patrick P. K. Chan; Xiaoqin Zeng; Eric C. C. Tsang; Daniel S. Yeung; John W. T. Lee (SMC, 2007)

The Experiments with the Linear Combination Data Fusion Method in Information Retrieval. - Shengli Wu 001; Yaxin Bi; Xiaoqin Zeng; Lixin Han (APWeb, 2008)

A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks. - Lei Lu; Xiaoqin Zeng; Shengli Wu 001; Shuiming Zhong (IDEAL, 2008)

Performance Weights for the Linear Combination Data Fusion Method in Information Retrieval. - Shengli Wu 001; Qili Zhou; Yaxin Bi; Xiaoqin Zeng (ISMIS, 2008)

Classifier learning with a new locality regularization method. - Hui Xue 002; Songcan Chen; Xiaoqin Zeng (Pattern Recognit., 2008)

A Sensitivity-Based Training Algorithm with Architecture Adjusting for Madalines. - Yanjun Liu 004; Xiaoqin Zeng; Shuiming Zhong; Shengli Wu 001 (SMC, 2009)

Constructing Confluent Context-sensitive Graph Grammars from Non-confluent Productions for Parsing Efficiency. - Yang Zou 001; Jian Lü 001; Xiaoqin Zeng; Xiaoxing Ma; Qiliang Yang (VINCI, 2009)

Assigning appropriate weights for the linear combination data fusion method in information retrieval. - Shengli Wu 001; Yaxin Bi; Xiaoqin Zeng; Lixin Han (Inf. Process. Manag., 2009)

A sensitivity-based approach for pruning architecture of Madalines. - Xiaoqin Zeng; Jing Shao; Yingfeng Wang; Shuiming Zhong (Neural Comput. Appl., 2009)

A quantified sensitivity measure of Radial Basis Function Neural Networks to input variation. - Xianming Chen; Xiaoqin Zeng; Rong Chu; Shuiming Zhong (IJCNN, 2010)

Retrieval Result Presentation and Evaluation. - Shengli Wu 001; Yaxin Bi; Xiaoqin Zeng (KSEM, 2010)

Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System. - Binbin Zhou; Jiannong Cao 001; Xiaoqin Zeng; Hejun Wu (VTC Fall, 2010)

Approximate computation of Madaline sensitivity based on discrete stochastic technique. - Shuiming Zhong; Xiaoqin Zeng; Huiyi Liu; Yan Xu (Sci. China Inf. Sci., 2010)

Uml-Based Modeling and Analysis of Security Threats. - Jun Kong; Dianxiang Xu; Xiaoqin Zeng (Int. J. Softw. Eng. Knowl. Eng., 2010)

Using the Euclidean Distance for Retrieval Evaluation. - Shengli Wu 001; Yaxin Bi; Xiaoqin Zeng (BNCOD, 2011)

An Improved ID3 Based on Weighted Modified Information Gain. - Chun Guan; Xiaoqin Zeng (CIS, 2011)

The Linear Combination Data Fusion Method in Information Retrieval. - Shengli Wu 001; Yaxin Bi; Xiaoqin Zeng (DEXA (2), 2011)

Algorithm of matching webpage and multi-domain ontology. - Chun Guan; Xiaoqin Zeng (GrC, 2011)

A global evaluation criterion for feature selection in text categorization using Kullback-Leibler divergence. - Zhilong Zhen; Xiaoqin Zeng; Haijuan Wang; Lixin Han (SoCPaR, 2011)

A New Diverse Measure in Ensemble Learning Using Unlabeled Data. - Rong Chu; Min Wang; Xiaoqin Zeng; Lixin Han (CICSyN, 2012)

Condorcet Fusion for Blog Opinion Retrieval. - Shengli Wu 001; Xiaoqin Zeng (DEXA Workshops, 2012)

Detection of concentric ellipses with the same orientation. - Bei Hu; Xiaoqin Zeng; Lihong Huang (ICDIP, 2012)

A Modular Hierarchical Reinforcement Learning Algorithm. - Zhibin Liu; Xiaoqin Zeng; Huiyi Liu (ICIC (2), 2012)

Sensitivity-Based Adaptive Learning Rules for Binary Feedforward Neural Networks. - Shuiming Zhong; Xiaoqin Zeng; Shengli Wu 001; Lixin Han (IEEE Trans. Neural Networks Learn. Syst., 2012)

Computation of multilayer perceptron sensitivity to input perturbation. - Jing Yang 028; Xiaoqin Zeng; Shuiming Zhong (Neurocomputing, 2013)

A New Supervised Learning Algorithm for Spiking Neurons. - Yan Xu; Xiaoqin Zeng; Shuiming Zhong (Neural Comput., 2013)

A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks. - Yan Xu; Xiaoqin Zeng; Lixin Han; Jing Yang 028 (Neural Networks, 2013)

Effective Neural Network Ensemble Approach for Improving Generalization Performance. - Jing Yang 028; Xiaoqin Zeng; Shuiming Zhong; Shengli Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

A Parallel Approach to Link Sign Prediction in Large-Scale Online Social Networks. - Jiufeng Zhou; Lixin Han; Yuan Yao 001; Xiaoqin Zeng; Feng Xu 007 (Comput. J., 2014)

Sensitivity study of Binary Feedforward Neural Networks. - Lihong Huang; Xiaoqin Zeng; Shuiming Zhong; Lixin Han (Neurocomputing, 2014)

Adaptive data fusion methods in information retrieval. - Shengli Wu 001; Jieyu Li; Xiaoqin Zeng; Yaxin Bi (J. Assoc. Inf. Sci. Technol., 2014)

Subimage Cosegmentation in a Single White Blood Cell Image. - Rong Chu; Xiaoqin Zeng; Lixin Han; Min Wang (CICSyN, 2015)

Anefficient learning algorithm for binary feedforward neural networks. - Jianxin Zhou; Xiaoqin Zeng; Patrick P. K. Chan (ICMLC, 2015)

A generalized bipolar auto-associative memory model based on discrete recurrent neural networks. - Caigen Zhou; Xiaoqin Zeng; Haibo Jiang; Lixin Han (Neurocomputing, 2015)

Recommender systems based on social networks. - Zhoubao Sun; Lixin Han; Wenliang Huang; Xueting Wang; Xiaoqin Zeng; Min Wang 022; Hong Yan 001 (J. Syst. Softw., 2015)

Bidirectional transformation between BPMN and BPEL with graph grammar. - Zhan Shi; Xiaoqin Zeng; Tingting Zhang; Song Huang; Zekun Qi; Hui Li; Bin Hu; Yi Yao; Shuiming Zhong (Comput. Electr. Eng., 2016)

A unified associative memory model based on external inputs of continuous recurrent neural networks. - Caigen Zhou; Xiaoqin Zeng; Jianjiang Yu; Haibo Jiang (Neurocomputing, 2016)

Partial precedence of context-sensitive graph grammars. - Yang Zou 001; Xiaoqin Zeng; Yufeng Liu; Huiyi Liu (VINCI, 2017)

A New Local Bipolar Autoassociative Memory Based on External Inputs of Discrete Recurrent Neural Networks With Time Delay. - Caigen Zhou; Xiaoqin Zeng; Chaomin Luo; Huaguang Zhang (IEEE Trans. Neural Networks Learn. Syst., 2017)

Quantitative spatial semantics in a graph grammar formalism. - Yufeng Liu; Xiaoqin Zeng; Kang Zhang 001 (IWISC, 2018)

A feature selection approach based on sensitivity of RBFNNs. - Xiaoqin Zeng; Zhilong Zhen; Jiasheng He; Lixin Han (Neurocomputing, 2018)

Local Patch Vectors Encoded by Fisher Vectors for Image Classification. - Shuangshuang Chen; Huiyi Liu; Xiaoqin Zeng; Subin Qian; Wei Wei; Guomin Wu; Baobin Duan (Inf., 2018)

基于生成对抗网络的图像修复 (Image Inpainting Based on Generative Adversarial Networks). - Quan Sun; Xiaoqin Zeng (计算机科学, 2018)

An Edge-based Graph Grammar Formalism and its Support System. - Xiaoqin Zeng; Yufeng Liu; Zhan Shi; Yingfeng Wang; Yang Zou 001; Jun Kong; Kang Zhang 001 (J. Vis. Lang. Sentient Syst., 2018)

Spatial specification and reasoning using grammars: from theory to application. - Yufeng Liu; Kang Zhang 001; Jun Kong; Yang Zou 001; Xiaoqin Zeng (Spatial Cogn. Comput., 2018)

A graph grammar-based approach for graph layout. - Yufeng Liu; Xiaoqin Zeng; Yang Zou 001; Kang Zhang 001 (Softw. Pract. Exp., 2018)

A temporal graph grammar formalism. - Zhan Shi; Xiaoqin Zeng; Yang Zou 001; Song Huang; Hui Li; Bin Hu; Yi Yao (J. Vis. Lang. Comput., 2018)

Approach to Context Computation for Implicit Context-sensitive Graph Grammars. - Yang Zou 001; Xiaoqin Zeng; Yufeng Liu; Huiyi Liu (DMSVIVA, 2019)

A Method of UML Sequence Diagram Verification Based on a Graph Grammar. - Zhan Shi; Chenrong Huang; Xiaoqin Zeng; Jiande Zhang; Lei Han 002; Ying Qian (ICBDS, 2019)

Parsing Strategies for Context-Sensitive Graph Grammars. - Yang Zou 001; Xiaoqin Zeng; Yufeng Liu (VINCI, 2019)

Study of Sensitivity to Weight Perturbation for Convolution Neural Network. - Lin Xiang; Xiaoqin Zeng; Yuhu Niu; Yanjun Liu 004 (IEEE Access, 2019)

A Review of Deep Learning Research. - Ruihui Mu; Xiaoqin Zeng (KSII Trans. Internet Inf. Syst., 2019)

Context Computation for Implicit Context-Sensitive Graph Grammars: Algorithms and Complexities. - Yang Zou 001; Xiaoqin Zeng; Yufeng Liu (J. Vis. Lang. Comput., 2019)

An optimal time interval of input spikes involved in synaptic adjustment of spike sequence learning. - Yan Xu; Jing Yang 028; Xiaoqin Zeng (Neural Networks, 2019)

A General Parsing Algorithm with Context Matching for Context-Sensitive Graph Grammars. - Xiaoqin Zeng; Yun Zhu; Tingting Sha; Yang Zou 001 (DMSVIVA, 2020)

A Simple Training Strategy for Graph Autoencoder. - Yingfeng Wang; Biyun Xu; Myungjae Kwak; Xiaoqin Zeng (ICMLC, 2020)

Multi-touch Gesture Recognition of Braille Input Based on RBF Net. - Juexiao Zhang; Xiaoqin Zeng; Zhaosong Zhu (ICMTEL (2), 2020)

Adaptive Synchronization of Fractional-Order Coupled Neurons Under Electromagnetic Radiation. - Fanqi Meng; Xiaoqin Zeng; Zuolei Wang; Xinjun Wang (Int. J. Bifurc. Chaos, 2020)

Auxiliary Stacked Denoising Autoencoder based Collaborative Filtering Recommendation. - Ruihui Mu; Xiaoqin Zeng (KSII Trans. Internet Inf. Syst., 2020)

E-GCN: graph convolution with estimated labels. - Jisheng Qin; Xiaoqin Zeng; Shengli Wu 001; E. Tang (Appl. Intell., 2021)

Coordinate Graph Grammar for the Specification of Spatial Graphs. - Yufeng Liu; Xiaoqin Zeng; Kang Zhang 001; Yang Zou 001 (Comput. J., 2021)

UML diagram-driven test scenarios generation based on the temporal graph grammar. - Zhan Shi; Xiaoqin Zeng; Tingting Zhang; Lei Han 002; Ying Qian (KSII Trans. Internet Inf. Syst., 2021)

A noise injection strategy for graph autoencoder training. - Yingfeng Wang; Biyun Xu; Myungjae Kwak; Xiaoqin Zeng (Neural Comput. Appl., 2021)

Computation of CNN's Sensitivity to Input Perturbation. - Lin Xiang; Xiaoqin Zeng; Shengli Wu 001; Yanjun Liu 004; Baohua Yuan (Neural Process. Lett., 2021)

An Accurate and Robust Step Detection Method Based on Continuous Wavelet Transform. - Yang Zou 001; Xiaoqin Zeng; Xiaoxiang Lu; Keman Zhang; Xiangchen Wu (DMSVIVA, 2022)

Attention-based mechanism for text detection in indoor scenes. - Yang Zou 001; Xiaoqin Zeng; Xiangchen Wu; Lixin Han; Keman Zhang (DMSVIVA, 2022)

Auto-Encoding GAN for Reducing Mode Collapse and Enhancing Feature Representation. - Xiaoxiang Lu; Yang Zou 001; Xiaoqin Zeng; Xiangchen Wu; Pengfei Qiu (SEKE, 2022)

Feature recommendation strategy for graph convolutional network. - Jisheng Qin; Xiaoqin Zeng; Shengli Wu 001; Yang Zou 001 (Connect. Sci., 2022)

Lightweight frequency-based attention network for image super-resolution. - E. Tang; Li Wang 100; Yuanyuan Wang; Yongtao Yu; Xiaoqin Zeng (J. Electronic Imaging, 2022)

Multi-touch gesture recognition of Braille input based on Petri Net and RBF Net. - Juxiao Zhang; Xiaoqin Zeng (Multim. Tools Appl., 2022)

A general parsing algorithm with context matching for context-sensitive graph grammars. - Yang Zou 001; Xiaoqin Zeng; Yun Zhu (Multim. Tools Appl., 2022)

Directional Residual Frame: Turns the motion information into a static RGB frame (S). - Pengfei Qiu; Yang Zou 001; Xiaoqin Zeng; Xiaoxiang Lu; Xiangchen Wu (DMSVIVA, 2023)

End-to-End Contextual Speech Recognition With Word-Piece-Level Token Selection. - Zhibin Wu; Yang Zou 001; Jian Zhou; Min Wang; Xiaoqin Zeng (DMSVIVA, 2023)

Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention. - Yang Zou 001; Qifei Wang; Zhen Wang; Jian Zhou; Xiaoqin Zeng (KSEM (1), 2023)

Lightweight Cross-Fusion Network on Human Pose Estimation for Edge Device. - Xian Zhu; Xiaoqin Zeng; Wei Ma (IEEE Access, 2023)

An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy. - Zhiyong Yang; Yuelong Zhu; Xiaoqin Zeng; Jun Zong; Xiuheng Liu; Ran Tao; Xiaofei Cong; Yufeng Yu (CoRR, 2023)

Position-Wise Gated Res2Net-Based Convolutional Network with Selective Fusing for Sentiment Analysis. - Jinfeng Zhou; Xiaoqin Zeng; Yang Zou 001; Haoran Zhu (Entropy, 2023)

Heterogeneous information fusion based graph collaborative filtering recommendation. - Ruihui Mu; Xiaoqin Zeng; Jiying Zhang (Intell. Data Anal., 2023)

Directional Residual Frame: Turns the motion information into a static RGB frame. - Pengfei Qiu; Yang Zou 001; Xiaoqin Zeng; Xiangchen Wu (J. Vis. Lang. Comput., 2023)

Context-sensitive graph representation learning. - Jisheng Qin; Xiaoqin Zeng; Shengli Wu 001; Yang Zou 001 (Int. J. Mach. Learn. Cybern., 2023)

Unsupervised and Supervised Co-learning for Comment-based Codebase Refining and its Application in Code Search. - Gang Hu 003; Xiaoqin Zeng; Wanlong Yu; Min Peng 002; Mengting Yuan 001; Liang Duan (ESEM, 2024)

Step detection in complex walking environments based on continuous wavelet transform. - Xiangchen Wu; Xiaoqin Zeng; Xiaoxiang Lu; Keman Zhang (Multim. Tools Appl., 2024)

TomoSAR 3D reconstruction: Cascading adversarial strategy with sparse observation trajectory. - Xian Zhu; Xiaoqin Zeng; Yuhua Cong; Yanhao Huang; Ziyan Zhu; Yantao Luo (IET Comput. Vis., 2025)

Enhancing aspect-level sentiment analysis through the integration of local context interdependencies and syntactic quality compensation. - Jinfeng Zhou; Xiaoqin Zeng; Yang Zou 001; Haoran Zhu (J. Supercomput., 2025)

4D-MISR: A unified model for low-dose super-resolution imaging via feature fusion. - Zifei Wang; Zian Mao; Xiaoya He; Xi Huang; Haoran Zhang; Chun Cheng; Shufen Chu; Tingzheng Hou; Xiaoqin Zeng; Yujun Xie (CoRR, 2025)