Research on Similarity Matching for Multiple Granularities Time-Series Data. - Wenning Hao; Enlai Zhao; Hongjun Zhang; Gang Chen; Dawei Jin (ADMA (1), 2010)

A Decision Tree Algorithm Based on Dispersion Measure of Attribute Information. - Dengchao He; Wenning Hao; Wenyan Gan; Gang Chen; Dawei Jin (IEEE WISA, 2013)

Survey of Probabilistic Graphical Models. - Hongmei Li; Wenning Hao; Wenyan Gan; Gang Chen (IEEE WISA, 2013)

Large-scale documents reduction based on domain ontology and E2LSH. - Hongmei Li; Wenning Hao; Gang Chen; Xianglin Liao (ICNSC, 2014)

A robust parzen window mutual information estimator for feature selection with label noise. - Dengchao He; Hongjun Zhang; Wenning Hao; Rui Zhang 067 (Intell. Data Anal., 2015)

面向军事文本的命名实体识别 (Named Entity Recognition for Military Text). - Yuntian Feng; Hongjun Zhang; Wenning Hao (计算机科学, 2015)

基于改进LSH的协同过滤推荐算法 (Collaborative Filtering Recommendation Algorithm Based on Improved Locality-sensitive Hashing). - Hongmei Li; Wenning Hao; Gang Chen (计算机科学, 2015)

Improving particle swarm optimization: Using neighbor heuristic and Gaussian cloud learning. - Donghui Zhan; Houqing Lu; Wenning Hao; Dawei Jin (Intell. Data Anal., 2016)

基于深度信念网络的命名实体识别 (Named Entity Recognition Based on Deep Belief Net). - Yuntian Feng; Hongjun Zhang; Wenning Hao; Gang Chen (计算机科学, 2016)

Joint Extraction of Entities and Relations Using Reinforcement Learning and Deep Learning. - Yuntian Feng; Hongjun Zhang; Wenning Hao; Gang Chen (Comput. Intell. Neurosci., 2017)

Distant supervised relation extraction via long short term memory networks with sentence embedding. - Dengchao He; Hongjun Zhang; Wenning Hao; Rui Zhang 067; Gang Chen; Dawei Jin; Kai Cheng (Intell. Data Anal., 2017)

An Attention-Based Hybrid Neural Network for Document Modeling. - Dengchao He; Hongjun Zhang; Wenning Hao; Rui Zhang 067; Huan Hao (IEICE Trans. Inf. Syst., 2017)

Relation Extraction with Deep Reinforcement Learning. - Hongjun Zhang; Yuntian Feng; Wenning Hao; Gang Chen; Dawei Jin (IEICE Trans. Inf. Syst., 2017)

基于双线性函数注意力Bi-LSTM模型的机器阅读理解 (Attention of Bilinear Function Based Bi-LSTM Model for Machine Reading Comprehension). - Feilong Liu; Wenning Hao; Gang Chen; Dawei Jin; Jiaxing Song (计算机科学, 2017)

A Customized Attention-Based Long Short-Term Memory Network for Distant Supervised Relation Extraction. - Dengchao He; Hongjun Zhang; Wenning Hao; Rui Zhang 067; Kai Cheng (Neural Comput., 2017)

Data Reduction Workflow Patterns Mining and Optimization based on Ontology. - Wen-ning Hao; Jun-Yue Chen 001; Suo-Juan Zhang; Zixuan Zhang; Gang Chen; Ruizhi Kang (ACAI, 2018)

An Extension of MIC for Multivariate Correlation Analysis Based on Interaction Information. - Zi-Xuan Zhang; Wen-ning Hao; Gang Chen; Jun-Yue Chen 001; You-Wei Xu (CSAI/ICIMT, 2018)

Ontology Alignment Repair Through 0-1 Programming. - Wenning Hao; Junyue Chen 001; Gang Chen; Ruizhi Kang; Zixuan Zhang; Ao Zou (IEEE Access, 2019)

Learning Chinese Word Embeddings With Words and Subcharacter N-Grams. - Ruizhi Kang; Hongjun Zhang; Wenning Hao; Kai Cheng; Guanglu Zhang (IEEE Access, 2019)

Pythagorean fuzzy preference ranking organization method of enrichment evaluations. - Zi-Xuan Zhang; Wen-Ning Hao; Xiao-Han Yu; Gang Chen; Suo-Juan Zhang; Jun-Yue Chen 001 (Int. J. Intell. Syst., 2019)

A Bayesian approach to incomplete fuzzy reciprocal preference relations in consensus reaching process and its application in project performance evaluations. - Zi-Xuan Zhang; Wen-Ning Hao; Xiao-Han Yu; Jun-Yue Chen 001; You-Wei Xu (J. Intell. Fuzzy Syst., 2019)

A Review of Latest Multi-instance Learning. - Yuan Tian; Wenning Hao; Dawei Jin; Gang Chen; Ao Zou (CSAI, 2020)

A Multitasking Genetic Algorithm for Mamdani Fuzzy System with Fully Overlapping Triangle Membership Functions. - Ke Zhang; Wen-Ning Hao; Xiao-Han Yu; Dawei Jin; Zhong-Hui Zhang (Int. J. Fuzzy Syst., 2020)

A signed network analysis-based Consensus Reaching Process in Group Decision Making. - Zi-Xuan Zhang; You-Wei Xu; Wen-Ning Hao; Xiao-Han Yu (Appl. Soft Comput., 2021)

Introduction of a new dataset and method for location predicting based on deep learning in wargame. - Man Liu; Hongjun Zhang; Wenning Hao; Xiuli Qi; Kai Cheng; Dawei Jin; Xinliang Feng (J. Intell. Fuzzy Syst., 2021)

Research on a Kind of Multi-objective Evolutionary Fuzzy System with a Flowing Data Pool and a Rule Pool for Interpreting Neural Networks. - Ke Zhang; Wen-Ning Hao; Xiao-Han Yu; Gang Chen; Kun Yu (Int. J. Fuzzy Syst., 2023)

A Fuzzy Neural Network Classifier and Its Dual Network for Adaptive Learning of Structure and Parameters. - Ke Zhang; Wen-Ning Hao; Xiao-Han Yu; Dawei Jin; Kun Yu (Int. J. Fuzzy Syst., 2023)

DEC-transformer: deep embedded clustering with transformer on Chinese long text. - Ao Zou; Wenning Hao; Gang Chen; Dawei Jin (Pattern Anal. Appl., 2023)

A Symmetrical Fuzzy Neural Network Regression Method Coordinating Structure and Parameter Identifications for Regression. - Ke Zhang; Wenning Hao; Xiaohan Yu; Tianhao Shao (Symmetry, 2023)

MoCoUTRL: a momentum contrastive framework for unsupervised text representation learning. - Ao Zou; Wenning Hao; Dawei Jin; Gang Chen; Feiyan Sun (Connect. Sci., 2023)

Outperforming Larger Models on Text Classification Through Continued Pre-training. - Yu Zheng 033; Ming Liu; Ao Zou; Wenning Hao; Hui Zhang; Yi Sun (NLPCC (1), 2024)

An Efficient Corpus Indexer for dynamic corpora retrieval. - Ao Zou; Wenning Hao; Dawei Jin; Shichen Zou; Yu Zheng 033; Feiyan Sun; Li Xiang (Expert Syst. Appl., 2024)

An interpretable image classification model Combining a fuzzy neural network with a variational autoencoder inspired by the human brain. - Ke Zhang; Wenning Hao; Xiaohan Yu; Tianhao Shao (Inf. Sci., 2024)

A survey on spatio-temporal series prediction with deep learning: taxonomy, applications, and future directions. - Feiyan Sun; Wenning Hao; Ao Zou; Qianyan Shen (Neural Comput. Appl., 2024)

Large language model-based planning agent with generative memory strengthens performance in textualized world. - Junyang Liu; Wenning Hao; Kai Cheng; Dawei Jin (Eng. Appl. Artif. Intell., 2025)