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2020 – today
- 2024
[j52]Xiangchen Wu
, Xiaoqin Zeng, Xiaoxiang Lu, Keman Zhang:
Step detection in complex walking environments based on continuous wavelet transform. Multim. Tools Appl. 83(12): 36603-36627 (2024)- [c43]Gang Hu, Xiaoqin Zeng, Wanlong Yu, Min Peng, Mengting Yuan, Liang Duan:
Unsupervised and Supervised Co-learning for Comment-based Codebase Refining and its Application in Code Search. ESEM 2024: 1-12 - 2023
- [j51]Xian Zhu, Xiaoqin Zeng, Wei Ma:
Lightweight Cross-Fusion Network on Human Pose Estimation for Edge Device. IEEE Access 11: 134899-134907 (2023) - [j50]Jinfeng Zhou, Xiaoqin Zeng, Yang Zou, Haoran Zhu:
Position-Wise Gated Res2Net-Based Convolutional Network with Selective Fusing for Sentiment Analysis. Entropy 25(5): 740 (2023) - [j49]Ruihui Mu, Xiaoqin Zeng, Jiying Zhang:
Heterogeneous information fusion based graph collaborative filtering recommendation. Intell. Data Anal. 27(6): 1595-1613 (2023) - [j48]Pengfei Qiu, Yang Zou, Xiaoqin Zeng, Xiangchen Wu:
Directional Residual Frame: Turns the motion information into a static RGB frame. J. Vis. Lang. Comput. 2023(2): 47-53 (2023) - [j47]Jisheng Qin, Xiaoqin Zeng, Shengli Wu, Yang Zou:
Context-sensitive graph representation learning. Int. J. Mach. Learn. Cybern. 14(6): 2193-2203 (2023) - [c42]Pengfei Qiu, Yang Zou, Xiaoqin Zeng, Xiaoxiang Lu, Xiangchen Wu:
Directional Residual Frame: Turns the motion information into a static RGB frame (S). DMSVIVA 2023: 32-37 - [c41]Zhibin Wu, Yang Zou, Jian Zhou, Min Wang, Xiaoqin Zeng:
End-to-End Contextual Speech Recognition With Word-Piece-Level Token Selection. DMSVIVA 2023: 81-86 - [c40]Yang Zou, Qifei Wang, Zhen Wang, Jian Zhou, Xiaoqin Zeng:
Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention. KSEM (1) 2023: 315-327 - [i1]Zhiyong Yang, Yuelong Zhu, Xiaoqin Zeng, Jun Zong, Xiuheng Liu, Ran Tao, Xiaofei Cong, Yufeng Yu:
An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy. CoRR abs/2310.00310 (2023) - 2022
- [j46]Jisheng Qin, Xiaoqin Zeng, Shengli Wu, Yang Zou:
Feature recommendation strategy for graph convolutional network. Connect. Sci. 34(1): 1697-1718 (2022) - [j45]Jisheng Qin, Xiaoqin Zeng, Shengli Wu, Yang Zou:
Context-sensitive graph representation learning. Connect. Sci. 34(1): 2313-2331 (2022) - [j44]Yang Zou, Xiaoqin Zeng, Yun Zhu:
A general parsing algorithm with context matching for context-sensitive graph grammars. Multim. Tools Appl. 81(1): 273-297 (2022) - [j43]Juxiao Zhang, Xiaoqin Zeng:
Multi-touch gesture recognition of Braille input based on Petri Net and RBF Net. Multim. Tools Appl. 81(14): 19395-19413 (2022) - [c39]Yang Zou, Xiaoqin Zeng, Xiaoxiang Lu, Keman Zhang, Xiangchen Wu:
An Accurate and Robust Step Detection Method Based on Continuous Wavelet Transform. DMSVIVA 2022: 55-62 - [c38]Yang Zou, Xiaoqin Zeng, Xiangchen Wu, Lixin Han, Keman Zhang:
Attention-based mechanism for text detection in indoor scenes. DMSVIVA 2022: 86-93 - [c37]Xiaoxiang Lu, Yang Zou, Xiaoqin Zeng, Xiangchen Wu, Pengfei Qiu:
Auto-Encoding GAN for Reducing Mode Collapse and Enhancing Feature Representation. SEKE 2022: 306-311 - 2021
- [j42]Jisheng Qin, Xiaoqin Zeng, Shengli Wu, E. Tang:
E-GCN: graph convolution with estimated labels. Appl. Intell. 51(7): 5007-5015 (2021) - [j41]Yufeng Liu, Xiaoqin Zeng, Kang Zhang, Yang Zou:
Coordinate Graph Grammar for the Specification of Spatial Graphs. Comput. J. 64(5): 749-761 (2021) - [j40]Zhan Shi, Xiaoqin Zeng, Tingting Zhang, Lei Han, Ying Qian:
UML diagram-driven test scenarios generation based on the temporal graph grammar. KSII Trans. Internet Inf. Syst. 15(7): 2476-2495 (2021) - [j39]Yingfeng Wang, Biyun Xu, Myungjae Kwak, Xiaoqin Zeng:
A noise injection strategy for graph autoencoder training. Neural Comput. Appl. 33(10): 4807-4814 (2021) - [j38]Lin Xiang, Xiaoqin Zeng, Shengli Wu, Yanjun Liu, Baohua Yuan:
Computation of CNN's Sensitivity to Input Perturbation. Neural Process. Lett. 53(1): 535-560 (2021) - 2020
- [j37]Fanqi Meng, Xiaoqin Zeng, Zuolei Wang, Xinjun Wang:
Adaptive Synchronization of Fractional-Order Coupled Neurons Under Electromagnetic Radiation. Int. J. Bifurc. Chaos 30(3): 2050044:1-2050044:15 (2020) - [j36]Ruihui Mu, Xiaoqin Zeng:
Auxiliary Stacked Denoising Autoencoder based Collaborative Filtering Recommendation. KSII Trans. Internet Inf. Syst. 14(6): 2310-2332 (2020) - [c36]Xiaoqin Zeng, Yun Zhu, Tingting Sha, Yang Zou:
A General Parsing Algorithm with Context Matching for Context-Sensitive Graph Grammars. DMSVIVA 2020: 13-21 - [c35]Yingfeng Wang, Biyun Xu, Myungjae Kwak, Xiaoqin Zeng:
A Simple Training Strategy for Graph Autoencoder. ICMLC 2020: 341-345 - [c34]Juexiao Zhang, Xiaoqin Zeng, Zhaosong Zhu:
Multi-touch Gesture Recognition of Braille Input Based on RBF Net. ICMTEL (2) 2020: 393-399
2010 – 2019
- 2019
- [j35]Lin Xiang, Xiaoqin Zeng, Yuhu Niu, Yanjun Liu:
Study of Sensitivity to Weight Perturbation for Convolution Neural Network. IEEE Access 7: 93898-93908 (2019) - [j34]Ruihui Mu, Xiaoqin Zeng:
A Review of Deep Learning Research. KSII Trans. Internet Inf. Syst. 13(4): 1738-1764 (2019) - [j33]Yang Zou, Xiaoqin Zeng, Yufeng Liu:
Context Computation for Implicit Context-Sensitive Graph Grammars: Algorithms and Complexities. J. Vis. Lang. Comput. 2019(1): 15-28 (2019) - [j32]Yan Xu, Jing Yang, Xiaoqin Zeng:
An optimal time interval of input spikes involved in synaptic adjustment of spike sequence learning. Neural Networks 116: 11-24 (2019) - [c33]Yang Zou, Xiaoqin Zeng, Yufeng Liu, Huiyi Liu:
Approach to Context Computation for Implicit Context-sensitive Graph Grammars. DMSVIVA 2019: 21-39 - [c32]Zhan Shi, Chenrong Huang, Xiaoqin Zeng, Jiande Zhang, Lei Han, Ying Qian:
A Method of UML Sequence Diagram Verification Based on a Graph Grammar. ICBDS 2019: 340-351 - [c31]Yang Zou, Xiaoqin Zeng, Yufeng Liu:
Parsing Strategies for Context-Sensitive Graph Grammars. VINCI 2019: 27:1-27:2 - 2018
- [j31]Xiaoqin Zeng, Zhilong Zhen, Jiasheng He, Lixin Han:
A feature selection approach based on sensitivity of RBFNNs. Neurocomputing 275: 2200-2208 (2018) - [j30]Shuangshuang Chen, Huiyi Liu, Xiaoqin Zeng, Subin Qian, Wei Wei, Guomin Wu, Baobin Duan:
Local Patch Vectors Encoded by Fisher Vectors for Image Classification. Inf. 9(2): 38 (2018) - [j29]Quan Sun, Xiaoqin Zeng:
基于生成对抗网络的图像修复 (Image Inpainting Based on Generative Adversarial Networks). 计算机科学 45(12): 229-234 (2018) - [j28]Xiaoqin Zeng, Yufeng Liu, Zhan Shi, Yingfeng Wang, Yang Zou, Jun Kong, Kang Zhang:
An Edge-based Graph Grammar Formalism and its Support System. J. Vis. Lang. Sentient Syst. 4: 11-19 (2018) - [j27]Yufeng Liu, Kang Zhang, Jun Kong, Yang Zou, Xiaoqin Zeng:
Spatial specification and reasoning using grammars: from theory to application. Spatial Cogn. Comput. 18(4): 315-340 (2018) - [j26]Yufeng Liu, Xiaoqin Zeng, Yang Zou, Kang Zhang:
A graph grammar-based approach for graph layout. Softw. Pract. Exp. 48(9): 1523-1535 (2018) - [j25]Zhan Shi, Xiaoqin Zeng, Yang Zou, Song Huang, Hui Li, Bin Hu, Yi Yao:
A temporal graph grammar formalism. J. Vis. Lang. Comput. 47: 62-76 (2018) - [c30]Yufeng Liu, Zhan Shi, Yingfeng Wang, Yang Zou, Jun Kong, Kang Zhang, Xiaoqin Zeng:
An Edge-based Graph Grammar Formalism and its Support System. DMSVIVA 2018: 101-108 - [c29]Yufeng Liu, Xiaoqin Zeng, Kang Zhang:
Quantitative spatial semantics in a graph grammar formalism. IWISC 2018: 1-7 - 2017
- [j24]Caigen Zhou, Xiaoqin Zeng, Chaomin Luo, Huaguang Zhang:
A New Local Bipolar Autoassociative Memory Based on External Inputs of Discrete Recurrent Neural Networks With Time Delay. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2479-2489 (2017) - [c28]Yang Zou, Xiaoqin Zeng, Yufeng Liu, Huiyi Liu:
Partial precedence of context-sensitive graph grammars. VINCI 2017: 16-23 - 2016
- [j23]Zhan Shi, Xiaoqin Zeng, Tingting Zhang, Song Huang, Zekun Qi, Hui Li, Bin Hu, Yi Yao, Shuiming Zhong:
Bidirectional transformation between BPMN and BPEL with graph grammar. Comput. Electr. Eng. 51: 304-319 (2016) - [j22]Caigen Zhou, Xiaoqin Zeng, Jianjiang Yu, Haibo Jiang:
A unified associative memory model based on external inputs of continuous recurrent neural networks. Neurocomputing 186: 44-53 (2016) - 2015
- [j21]Caigen Zhou, Xiaoqin Zeng, Haibo Jiang, Lixin Han:
A generalized bipolar auto-associative memory model based on discrete recurrent neural networks. Neurocomputing 162: 201-208 (2015) - [j20]Zhoubao Sun, Lixin Han, Wenliang Huang, Xueting Wang, Xiaoqin Zeng, Min Wang, Hong Yan:
Recommender systems based on social networks. J. Syst. Softw. 99: 109-119 (2015) - [c27]Rong Chu, Xiaoqin Zeng, Lixin Han, Min Wang:
Subimage Cosegmentation in a Single White Blood Cell Image. CICSyN 2015: 152-157 - [c26]Jianxin Zhou, Xiaoqin Zeng, Patrick P. K. Chan:
Anefficient learning algorithm for binary feedforward neural networks. ICMLC 2015: 609-615 - 2014
- [j19]Jiufeng Zhou, Lixin Han, Yuan Yao, Xiaoqin Zeng, Feng Xu:
A Parallel Approach to Link Sign Prediction in Large-Scale Online Social Networks. Comput. J. 57(7): 1092-1104 (2014) - [j18]Lihong Huang, Xiaoqin Zeng, Shuiming Zhong, Lixin Han:
Sensitivity study of Binary Feedforward Neural Networks. Neurocomputing 136: 268-280 (2014) - [j17]Shengli Wu, Jieyu Li, Xiaoqin Zeng, Yaxin Bi:
Adaptive data fusion methods in information retrieval. J. Assoc. Inf. Sci. Technol. 65(10): 2048-2061 (2014) - 2013
- [j16]Jing Yang, Xiaoqin Zeng, Shuiming Zhong:
Computation of multilayer perceptron sensitivity to input perturbation. Neurocomputing 99: 390-398 (2013) - [j15]Yan Xu, Xiaoqin Zeng, Shuiming Zhong:
A New Supervised Learning Algorithm for Spiking Neurons. Neural Comput. 25(6): 1472-1511 (2013) - [j14]Yan Xu, Xiaoqin Zeng, Lixin Han, Jing Yang:
A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks. Neural Networks 43: 99-113 (2013) - [j13]Jing Yang, Xiaoqin Zeng, Shuiming Zhong, Shengli Wu:
Effective Neural Network Ensemble Approach for Improving Generalization Performance. IEEE Trans. Neural Networks Learn. Syst. 24(6): 878-887 (2013) - 2012
- [j12]Shuiming Zhong, Xiaoqin Zeng, Shengli Wu, Lixin Han:
Sensitivity-Based Adaptive Learning Rules for Binary Feedforward Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 23(3): 480-491 (2012) - [c25]Rong Chu, Min Wang, Xiaoqin Zeng, Lixin Han:
A New Diverse Measure in Ensemble Learning Using Unlabeled Data. CICSyN 2012: 18-21 - [c24]Shengli Wu, Xiaoqin Zeng:
Condorcet Fusion for Blog Opinion Retrieval. DEXA Workshops 2012: 156-160 - [c23]Bei Hu, Xiaoqin Zeng, Lihong Huang:
Detection of concentric ellipses with the same orientation. ICDIP 2012: 83340Z - [c22]Zhibin Liu, Xiaoqin Zeng, Huiyi Liu:
A Modular Hierarchical Reinforcement Learning Algorithm. ICIC (2) 2012: 375-382 - 2011
- [c21]Shengli Wu, Yaxin Bi, Xiaoqin Zeng:
Using the Euclidean Distance for Retrieval Evaluation. BNCOD 2011: 83-96 - [c20]Chun Guan, Xiaoqin Zeng:
An Improved ID3 Based on Weighted Modified Information Gain. CIS 2011: 1283-1285 - [c19]Shengli Wu, Yaxin Bi, Xiaoqin Zeng:
The Linear Combination Data Fusion Method in Information Retrieval. DEXA (2) 2011: 219-233 - [c18]Chun Guan, Xiaoqin Zeng:
Algorithm of matching webpage and multi-domain ontology. GrC 2011: 829-831 - [c17]Zhilong Zhen, Xiaoqin Zeng, Haijuan Wang, Lixin Han:
A global evaluation criterion for feature selection in text categorization using Kullback-Leibler divergence. SoCPaR 2011: 440-445 - 2010
- [j11]Shuiming Zhong, Xiaoqin Zeng, Huiyi Liu, Yan Xu:
Approximate computation of Madaline sensitivity based on discrete stochastic technique. Sci. China Inf. Sci. 53(12): 2399-2414 (2010) - [j10]Jun Kong, Dianxiang Xu, Xiaoqin Zeng:
Uml-Based Modeling and Analysis of Security Threats. Int. J. Softw. Eng. Knowl. Eng. 20(6): 875-897 (2010) - [c16]Xianming Chen, Xiaoqin Zeng, Rong Chu, Shuiming Zhong:
A quantified sensitivity measure of Radial Basis Function Neural Networks to input variation. IJCNN 2010: 1-6 - [c15]Shengli Wu, Yaxin Bi, Xiaoqin Zeng:
Retrieval Result Presentation and Evaluation. KSEM 2010: 125-136 - [c14]Binbin Zhou, Jiannong Cao, Xiaoqin Zeng, Hejun Wu:
Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System. VTC Fall 2010: 1-5
2000 – 2009
- 2009
- [j9]Shengli Wu, Yaxin Bi, Xiaoqin Zeng, Lixin Han:
Assigning appropriate weights for the linear combination data fusion method in information retrieval. Inf. Process. Manag. 45(4): 413-426 (2009) - [j8]Xiaoqin Zeng, Jing Shao, Yingfeng Wang, Shuiming Zhong:
A sensitivity-based approach for pruning architecture of Madalines. Neural Comput. Appl. 18(8): 957-965 (2009) - [c13]Yanjun Liu, Xiaoqin Zeng, Shuiming Zhong, Shengli Wu:
A Sensitivity-Based Training Algorithm with Architecture Adjusting for Madalines. SMC 2009: 4586-4591 - [c12]Yang Zou, Jian Lü, Xiaoqin Zeng, Xiaoxing Ma, Qiliang Yang:
Constructing Confluent Context-sensitive Graph Grammars from Non-confluent Productions for Parsing Efficiency. VINCI 2009: 135-147 - 2008
- [j7]Hui Xue, Songcan Chen, Xiaoqin Zeng:
Classifier learning with a new locality regularization method. Pattern Recognit. 41(5): 1479-1490 (2008) - [c11]Shengli Wu, Yaxin Bi, Xiaoqin Zeng, Lixin Han:
The Experiments with the Linear Combination Data Fusion Method in Information Retrieval. APWeb 2008: 432-437 - [c10]Lei Lu, Xiaoqin Zeng, Shengli Wu, Shuiming Zhong:
A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks. IDEAL 2008: 164-171 - [c9]Shengli Wu, Qili Zhou, Yaxin Bi, Xiaoqin Zeng:
Performance Weights for the Linear Combination Data Fusion Method in Information Retrieval. ISMIS 2008: 465-470 - 2007
- [c8]Jia Tang, Xiaoqin Zeng, Lei Lu:
Ensemble Learning Based on the Output Sensitivity of Multilayer Perceptrons. IJCNN 2007: 1067-1072 - [c7]Patrick P. K. Chan, Xiaoqin Zeng, Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee:
Neural network ensemble pruning using sensitivity measure in web applications. SMC 2007: 3051-3056 - 2006
- [j6]Xiaoqin Zeng, Daniel S. Yeung:
Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure. Neurocomputing 69(7-9): 825-837 (2006) - [j5]Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung, Zhihang Peng:
Computation of Madalines' Sensitivity to Input and Weight Perturbations. Neural Comput. 18(11): 2854-2877 (2006) - [j4]Xiaoqin Zeng, Yingfeng Wang, Kang Zhang:
Computation of Adalines' sensitivity to weight perturbation. IEEE Trans. Neural Networks 17(2): 515-519 (2006) - [j3]Jun Kong, Kang Zhang, Xiaoqin Zeng:
Spatial graph grammars for graphical user interfaces. ACM Trans. Comput. Hum. Interact. 13(2): 268-307 (2006) - [c6]Yingfeng Wang, Xiaoqin Zeng:
Using a Sensitivity Measure to Improve Training Accuracy and Convergence for Madalines. IJCNN 2006: 771-777 - 2005
- [c5]Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung:
Sensitivity Analysis of Madalines to Weight Perturbation. ICMLC 2005: 822-831 - [c4]Xiaoqin Zeng, Kang Zhang, Jun Kong, Guang-Lei Song:
RGG+: An Enhancement to the Reserved Graph Grammar Formalism. VL/HCC 2005: 272-274 - 2003
- [j2]Xiaoqin Zeng, Daniel S. Yeung:
A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation. Neural Comput. 15(1): 183-212 (2003) - [c3]Xiaoqin Zeng, Yajuan Huang, Daniel S. Yeung:
Determining the relevance of input features for multilayer perceptrons. SMC 2003: 874-879 - 2001
- [j1]Xiaoqin Zeng, Daniel S. Yeung:
Sensitivity analysis of multilayer perceptron to input and weight perturbations. IEEE Trans. Neural Networks 12(6): 1358-1366 (2001) - [c2]Daniel S. Yeung, Xuequan Sun, Xiaoqin Zeng:
Sensitivity Analysis of Multilayer Perceptron. IJCAI 2001: 809-818 - 2000
- [c1]Xiaoqin Zeng, Daniel S. Yeung, Xuequan Sun:
Sensitivity analysis of multilayer perceptron to input perturbation. SMC 2000: 2509-2514
Coauthor Index
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