A discrete region-based approach to improve the consistency of pair-wise comparison matrix. - Hengshan Zhang; Qinghua Zheng; Ting Liu 002; Zijiang Yang 006; Jiahe Liu (FUZZ-IEEE, 2013)

IFSDA: An intuitionistic fuzzy set-based data aggregation approach for software maintainability evaluation. - Yan Nan; Hengshan Zhang; Qinghua Zheng; Di Wang; Ting Liu 002; Boqin Feng (FSKD, 2014)

A new approach to improve the consistency of linguistic pair-wise comparison matrix and derive interval weight vector. - Hengshan Zhang; Qinghua Zheng; Ting Liu 002; Yan Nan (FUZZ-IEEE, 2014)

A grade assignment and IFS translation approach based on intensive region searching. - Hengshan Zhang; Qinghua Zheng; Ting Liu 002; Xiaojun Cui (FUZZ-IEEE, 2015)

Mixed Intuitionistic Fuzzy Aggregation Operators decreasing results of unusual IFNs. - Hengshan Zhang; Qinghua Zheng; Ting Liu 002; Yu Qu (FUZZ-IEEE, 2016)

Improving Linguistic Pairwise Comparison Consistency via Linguistic Discrete Regions. - Hengshan Zhang; Qinghua Zheng; Ting Liu 002; Zijiang Yang 006; Minnan Luo; Yu Qu (IEEE Trans. Fuzzy Syst., 2016)

Crowd Intelligence for Decision Making Based on Positive and Negative Comparing With Linguistic Scale. - Hengshan Zhang; Qinghua Zheng; Zhongmin Wang 001; Yanping Chen 006; Yu Qu; Ting Liu 002 (FUZZ-IEEE, 2018)

Sentiment Classification of Drug Reviews Using Fuzzy-rough Feature Selection. - Tianhua Chen; Pan Su 001; Changjing Shang; Richard Hill; Hengshan Zhang; Qiang Shen 001 (FUZZ-IEEE, 2019)

Method Selecting Correct One Among Alternatives Utilizing Intuitionistic Fuzzy Preference Relation Without Consensus Reaching Process. - Hengshan Zhang; Qinghua Zheng; Zhongmin Wang 001; Yanping Chen 006; Ting Liu 002; Tianhua Chen (FUZZ-IEEE, 2019)

Estimation of Bearing Remaining Useful Life Based on Hybrid Deep Learning Framework. - Zhongmin Wang 001; Wudong Fan; Hengshan Zhang; Yimin Zhou 001 (ISKE, 2019)

A Method Of Assembly Line Balancing Problem With Uncertain Operation Time. - Zhongmin Wang 001; Lin Wei; Hengshan Zhang; Tianhua Chen; Yimin Zhou 001 (ISKE, 2019)

The opinions of the decision makers. - Hengshan Zhang (IEEE DataPort, 2019)

A Novel Group Decision Making Approach using Pythagorean Fuzzy Preference Relation. - Hengshan Zhang; Tianhua Chen; Zhongmin Wang 001; Yanping Chen 006; Chunru Chen (FUZZ-IEEE, 2020)

A Novel Clustering Algorithm via the Support and K-Nearest Neighbors of Data. - Hengshan Zhang; Xiaoyan Liu; Jiaxuan Xu; Haoru Li; Zhongmin Wang 001; Yanping Chen 006 (ISKE, 2021)

Remaining Useful Life Prediction of Lithium Battery via Neural Network Ensemble. - Hengshan Zhang; Di Wu; Zhongmin Wang 001; Yanping Chen 006; Jiaxuan Xu (ISKE, 2021)

An Ensemble Method for the Heterogeneous Neural Network to Predict the Remaining Useful Life of Lithium-ion Battery. - Hengshan Zhang; Di Wu; Zhongmin Wang 001; Yanping Chen 006 (SMC, 2021)

Mixed aggregation functions for outliers detection. - Hengshan Zhang; Chunru Chen; Tianhua Chen; Zhongmin Wang 001; Yanping Chen 006 (J. Intell. Fuzzy Syst., 2021)

Refinement of weights using attribute support for multiple attribute decision making. - Hengshan Zhang; Yimin Zhou 001; Tianhua Chen; Richard Hill; Zhongmin Wang 001; Yanping Chen 006 (J. Comput. Sci., 2021)

A Novel Large Group Decision-Making Method via Normalized Alternative Prediction Selection. - Hengshan Zhang; Yimin Zhou 001; Qinghua Zheng; Zhongmin Wang 001; Yanping Chen 006; Chunru Chen; Ting Liu 002 (IEEE Trans. Fuzzy Syst., 2021)

Using K-core Decomposition on Class Dependency Networks to Improve Bug Prediction Model's Practical Performance. - Yu Qu; Qinghua Zheng; Jianlei Chi; Yangxu Jin; Ancheng He; Di Cui; Hengshan Zhang; Ting Liu 002 (IEEE Trans. Software Eng., 2021)

Support-based Neural Network Ensemble Method for Predicting the SoH of Lithium-ion Battery. - Hengshan Zhang; Jiaxuan Xu; Di Wu; Yun Wang (AIPR, 2022)

Ensemble Clustering via Adaptive Weight Adjustment and Cluster Generation in Difference Similarity. - Xiaoning Wang; Chun Liu; Hengshan Zhang; Yun Wang (ISKE, 2023)

Wind speed data. - Hengshan Zhang (IEEE DataPort, 2023)

Discrete Hierarchical Conditional Variational Auto-Encoder and Self Attention Mechanism. - Hengshan Zhang (IEEE DataPort, 2024)

Consistency-oriented clustering ensemble via data reconstruction. - Hengshan Zhang; Yun Wang; Yanping Chen; Jiaze Sun (Appl. Intell., 2024)

Remaining useful-life prediction of lithium battery based on neural-network ensemble via conditional variational autoencoder. - Hengshan Zhang; Kaijie Guo; Yanping Chen; Jiaze Sun (Appl. Intell., 2025)

A large scale group decision making with expert guidance via discrete conditional variational autoencoder. - Hengshan Zhang; Adong He; Jiaze Sun; Yanping Chen 006 (Appl. Intell., 2025)

Adversarial generation method for smart contract fuzz testing seeds guided by chain-based LLM. - Jiaze Sun; Zhiqiang Yin; Hengshan Zhang; Xiang Chen 005; Wei Zheng 006 (Autom. Softw. Eng., 2025)