Research on the framework based on web service and ontology for sharing parts library in virtual enterprise. - Yongquan Dong; Qingzhong Li; Li-zhen Cui (CSCWD, 2007)

Building web domain data integration system with user collaboration. - Yongquan Dong; Qingzhong Li; Hui Li 048; Zongmin Shang (CSCWD, 2008)

Virtual travel agency based on web services. - Hui Li 048; Haiyang Wang; Zongmin Shang; Yongquan Dong (CSCWD, 2008)

Running smart process based on goals. - Zongmin Shang; Haiyang Wang; Liqiang Wang; Hui Li 048; Yongquan Dong (CSCWD, 2008)

A Method of Schema Matching Based on Top-K Mapping and User Feedback. - Junren Wang; Qingzhong Li; Yongquan Dong (NCM, 2009)

Web Source Evaluation and Selection by Mass Collaboration. - Yanhui Ding; Qingzhong Li; Yongquan Dong (WKDD, 2009)

MI-WDIS: web data integration system for market intelligence. - Zhongmin Yan; Qingzhong Li; Shidong Zhang; Zhaohui Peng; Yongquan Dong; Yanhui Ding; Yongxin Zhang; Xiuxing Xu (CIKM, 2010)

Study of Bird's Nest Habit Based on Variance Analysis. - Yongquan Dong; Cuilan Mi (ICICA (1), 2010)

Semantic Annotation of Web Objects Using Constrained Conditional Random Fields. - Yongquan Dong; Qingzhong Li; Yongqing Zheng; Xiaoyang Xu; Yongxin Zhang (WAIM, 2010)

2D Correlative-Chain Conditional Random Fields for Semantic Annotation of Web Objects. - Yan-Hui Ding; Qing-Zhong Li; Yong-Quan Dong; Zhao-Hui Peng (J. Comput. Sci. Technol., 2010)

A Query Interface Matching Approach Based on Extended Evidence Theory for Deep Web. - Yong-Quan Dong; Qing-Zhong Li; Yan-Hui Ding; Zhao-Hui Peng (J. Comput. Sci. Technol., 2010)

A Novel Method for Extracting Information from Web Pages with Multiple Presentation Templates. - Qingzhong Li; Yanhui Ding; An Feng; Yongquan Dong (J. Softw., 2010)

Analysis of Bus Dispatch based on Extreme Value Statistics. - Yongquan Dong; Fuxia Xu (LISS (1), 2011)

A Study on Using Two-Phase Conditional Random Fields for Query Interface Segmentation. - Yongquan Dong; Xiangjun Zhao; Gongjie Zhang (WISM (2), 2011)

ETTA-IM: A deep web query interface matching approach based on evidence theory and task assignment. - Yongquan Dong; Qingzhong Li; Yanhui Ding; Zhaohui Peng (Expert Syst. Appl., 2011)

Clustering-based Nearest Neighbor Searching. - Ping Ling; Xiangsheng Rong; Yongquan Dong (J. Comput., 2013)

Web Data Extraction Based on Visual Information and Partial Tree Alignment. - Siwu Fan; Xinjun Wang; Yongquan Dong (IEEE WISA, 2014)

A Workload-Based Dynamic Adaptive Data Replica Placement Method. - Wei Guo; Xinjun Wang; Yongquan Dong (IEEE WISA, 2014)

Discovering Evolution of Complex Event Based on Correlations Between Events. - Xia Li; Yongqing Zheng; Yongquan Dong (IEEE WISA, 2014)

Shrank Support Vector Clustering. - Ping Ling; Xiangsheng Rong; Guosheng Hao; Yongquan Dong (IJCNN, 2014)

A bargaining game theoretic method for virtual resource allocation in LTE-based cellular networks. - Guopeng Zhang; Kun Yang 001; Ke Xu 002; Yongquan Dong (Sci. China Inf. Sci., 2015)

基于数字签名的轻量级RFID认证协议 (Lightweight RFID Authentication Protocol Based on Digital Signature). - Yali Liu; Xiaolin Qin; Xiangjun Zhao; Guosheng Hao; Yongquan Dong (计算机科学, 2015)

Double-phase locality-sensitive hashing of neighborhood development for multi-relational data. - Ping Ling; Xiangsheng Rong; Yongquan Dong; Guosheng Hao (Soft Comput., 2015)

Sentiment Analysis of Chinese Micro-Blog Based on Classification and Rich Features. - Jiayuan Ding; Yongquan Dong; Tongfei Gao; Zichen Zhang 002; Yali Liu (IEEE WISA, 2016)

A Hybrid Method Based on Cuckoo Search and Krill Herd Optimization with Differential Evolution. - Zichen Zhang 002; Yongquan Dong; Tongfei Gao (IEEE WISA, 2016)

Self-adaptive extreme learning machine. - Gaige Wang; Mei Lu; Yong-Quan Dong; Xiang-Jun Zhao (Neural Comput. Appl., 2016)

A Method for Duplicate Record Detection Using Deep Learning. - Qing Gu; Yongquan Dong; Yang Hu; Yali Liu (WISA, 2019)

Mutant Selecting According to the Nondominated Original Statements. - Gongjie Zhang; Chunli Xie; Yongquan Dong; Qiao Yu (Sci. Program., 2019)

Normalization of Duplicate Records from Multiple Sources. - Yongquan Dong; Eduard C. Dragut; Weiyi Meng (IEEE Trans. Knowl. Data Eng., 2019)

An End-to-End Deep Neural Network for Truth Discovery. - Huafeng Chen; Yongquan Dong; Qing Gu; Yali Liu (WISA, 2020)

Double-Channel Multi-layer Information Fusion for Text Matching. - Guoxi Zhang; Yongquan Dong; Huafeng Chen (IIP, 2022)

Solving dynamic multi-objective problems using polynomial fitting-based prediction algorithm. - Qingyang Zhang; Xiangyu He; Shengxiang Yang; Yongquan Dong; Hui Song; Shouyong Jiang (Inf. Sci., 2022)

A three-way clustering method based on improved density peaks algorithm and boundary detection graph. - Chen Sun; Mingjing Du 001; Jiarui Sun; Kangkang Li; Yongquan Dong (Int. J. Approx. Reason., 2023)

Biological survival optimization algorithm with its engineering and neural network applications. - Likai Wang 008; Qingyang Zhang; Xiangyu He; Shengxiang Yang; Shouyong Jiang; Yongquan Dong (Soft Comput., 2023)

Automated fundus ultrasound image classification based on siamese convolutional neural networks with multi-attention. - Jiachen Tan; Yongquan Dong; Junchi Li (BMC Medical Imaging, 2023)

Multi-hyperplane twin support vector regression guided with fuzzy clustering. - Zichen Zhang 002; Wei-Chiang Hong; Yongquan Dong (Inf. Sci., 2024)

A Personalized Course Recommendation Model Integrating Multi-granularity Sessions and Multi-type Interests. - Yuan Liu; Yongquan Dong; Chan Yin; Cheng Chen; Rui Jia (Educ. Inf. Technol., 2024)

M3W: Multistep Three-Way Clustering. - Mingjing Du 001; Jingqi Zhao; Jiarui Sun; Yongquan Dong (IEEE Trans. Neural Networks Learn. Syst., 2024)

TWStream: Three-Way Stream Clustering. - Jiarui Sun; Mingjing Du 001; Zhenkang Lew; Yongquan Dong (IEEE Trans. Fuzzy Syst., 2024)

Feature Weighting-Based Deep Fuzzy C-Means for Clustering Incomplete Time Series. - Yurui Li 002; Mingjing Du 001; Wenbin Zhang; Xiang Jiang 008; Yongquan Dong (IEEE Trans. Fuzzy Syst., 2024)

LAMFFNet: Lightweight Adaptive Multi-layer Feature Fusion network for medical image segmentation. - Mengxiang Hu; Yongquan Dong; Junchi Li; Le Jiang; Peilin Zhang; Yuchao Ping (Biomed. Signal Process. Control., 2025)

MRTI-CR: A model based on multi-relationship and time-aware interest for personalized course recommendation. - Shiyi Huang; Yongquan Dong; Ziyin Wang; Nan Zhou; Yuchao Ping (Eng. Appl. Artif. Intell., 2025)

Mixed-GGNAS: Mixed Search-space NAS based on genetic algorithm combined with gradient descent for medical image segmentation. - Mengxiang Hu; Junchi Li; Yongquan Dong; Zichen Zhang 002; Weifan Liu; Peilin Zhang; Yuchao Ping; Le Jiang; Zekuan Yu (Expert Syst. Appl., 2025)

Bi-directional gated recurrent unit enhanced twin support vector regression with seasonal mechanism for electric load forecasting. - Zichen Zhang 002; Chenglong Zhang 001; Yongquan Dong; Wei-Chiang Hong (Knowl. Based Syst., 2025)

Long Short-Term Memory-Based Twin Support Vector Regression for Probabilistic Load Forecasting. - Zichen Zhang 002; Yongquan Dong; Wei-Chiang Hong (IEEE Trans. Neural Networks Learn. Syst., 2025)

Fuzzy Cluster-Aware Contrastive Clustering for Time Series. - Congyu Wang; Mingjing Du 001; Xiang Jiang 008; Yongquan Dong (CoRR, 2025)

Efficient Online Stream Clustering Based on Fast Peeling of Boundary Micro-Cluster. - Jiarui Sun; Mingjing Du 001; Chen Sun; Yongquan Dong (IEEE Trans. Neural Networks Learn. Syst., 2025)

DDRec: Dual Denoising Multimodal Graph Recommendation. - Yuchao Ping; Shuqin Wang 002; Ziyi Yang; Bugui He; Nan Zhou; Yongquan Dong (IEEE Trans. Comput. Soc. Syst., 2025)

MRFFD: multimodal recommender based on feature fusion and decoupling. - Yuchao Ping; Shuqin Wang 002; Ziyi Yang; Yongquan Dong; Rui Jia (Neural Comput. Appl., 2025)