| 2024 | ESEM | Unsupervised and Supervised Co-learning for Comment-based Codebase Refining and its Application in Code Search. | Gang Hu, Xiaoqin Zeng, Wanlong Yu, Min Peng, Mengting Yuan, Liang Duan |
| 2023 | KSEM | Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention. | Yang Zou, Qifei Wang, Zhen Wang, Jian Zhou, Xiaoqin Zeng |
| 2022 | SEKE | Auto-Encoding GAN for Reducing Mode Collapse and Enhancing Feature Representation. | Xiaoxiang Lu, Yang Zou, Xiaoqin Zeng, Xiangchen Wu, Pengfei Qiu |
| 2019 | VINCI | Parsing Strategies for Context-Sensitive Graph Grammars. | Yang Zou, Xiaoqin Zeng, Yufeng Liu |
| 2017 | VINCI | Partial precedence of context-sensitive graph grammars. | Yang Zou, Xiaoqin Zeng, Yufeng Liu, Huiyi Liu |
| 2015 | ICMLC | Anefficient learning algorithm for binary feedforward neural networks. | Jianxin Zhou, Xiaoqin Zeng, Patrick P. K. Chan |
| 2011 | CIS | An Improved ID3 Based on Weighted Modified Information Gain. | Chun Guan, Xiaoqin Zeng |
| 2011 | DEXA | The Linear Combination Data Fusion Method in Information Retrieval. | Shengli Wu, Yaxin Bi, Xiaoqin Zeng |
| 2011 | GRC | Algorithm of matching webpage and multi-domain ontology. | Chun Guan, Xiaoqin Zeng |
| 2010 | IJCNN | A quantified sensitivity measure of Radial Basis Function Neural Networks to input variation. | Xianming Chen, Xiaoqin Zeng, Rong Chu, Shuiming Zhong |
| 2010 | KSEM | Retrieval Result Presentation and Evaluation. | Shengli Wu, Yaxin Bi, Xiaoqin Zeng |
| 2010 | VTC | Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System. | Binbin Zhou, Jiannong Cao, Xiaoqin Zeng, Hejun Wu |
| 2009 | SMC | A Sensitivity-Based Training Algorithm with Architecture Adjusting for Madalines. | Yanjun Liu, Xiaoqin Zeng, Shuiming Zhong, Shengli Wu |
| 2009 | VINCI | Constructing Confluent Context-sensitive Graph Grammars from Non-confluent Productions for Parsing Efficiency. | Yang Zou, Jian L, Xiaoqin Zeng, Xiaoxing Ma, Qiliang Yang |
| 2008 | APWEB | The Experiments with the Linear Combination Data Fusion Method in Information Retrieval. | Shengli Wu, Yaxin Bi, Xiaoqin Zeng, Lixin Han |
| 2008 | IDEAL | A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks. | Lei Lu, Xiaoqin Zeng, Shengli Wu, Shuiming Zhong |
| 2008 | ISMIS | Performance Weights for the Linear Combination Data Fusion Method in Information Retrieval. | Shengli Wu, Qili Zhou, Yaxin Bi, Xiaoqin Zeng |
| 2007 | IJCNN | Ensemble Learning Based on the Output Sensitivity of Multilayer Perceptrons. | Jia Tang, Xiaoqin Zeng, Lei Lu |
| 2007 | SMC | 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 |
| 2006 | IJCNN | Using a Sensitivity Measure to Improve Training Accuracy and Convergence for Madalines. | Yingfeng Wang, Xiaoqin Zeng |
| 2005 | ICMLC | Sensitivity Analysis of Madalines to Weight Perturbation. | Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung |
| 2003 | SMC | Determining the relevance of input features for multilayer perceptrons. | Xiaoqin Zeng, Yajuan Huang, Daniel S. Yeung |
| 2001 | IJCAI | Sensitivity Analysis of Multilayer Perceptron. | Daniel S. Yeung, Xuequan Sun, Xiaoqin Zeng |
| 2000 | SMC | Sensitivity analysis of multilayer perceptron to input perturbation. | Xiaoqin Zeng, Daniel S. Yeung, Xuequan Sun |