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Hengshan Zhang
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2020 – today
- 2025
- [j8]Hengshan Zhang, Kaijie Guo, Yanping Chen, Jiaze Sun:
Remaining useful-life prediction of lithium battery based on neural-network ensemble via conditional variational autoencoder. Appl. Intell. 55(1): 34 (2025) - 2024
- [j7]Hengshan Zhang, Yun Wang, Yanping Chen, Jiaze Sun:
Consistency-oriented clustering ensemble via data reconstruction. Appl. Intell. 54(20): 9641-9654 (2024) - [d3]Hengshan Zhang:
Discrete Hierarchical Conditional Variational Auto-Encoder and Self Attention Mechanism. IEEE DataPort, 2024 - 2023
- [j6]Hengshan Zhang, Yun Wang, Tianhua Cheng:
A novel Group Decision Making method with the prediction selection rate. J. Intell. Fuzzy Syst. 45(3): 4857-4870 (2023) - [c16]Xiaoning Wang, Chun Liu, Hengshan Zhang, Yun Wang:
Ensemble Clustering via Adaptive Weight Adjustment and Cluster Generation in Difference Similarity. ISKE 2023: 247-254 - [d2]Hengshan Zhang:
Wind speed data. IEEE DataPort, 2023 - 2022
- [c15]Hengshan Zhang, Jiaxuan Xu, Di Wu, Yun Wang:
Support-based Neural Network Ensemble Method for Predicting the SoH of Lithium-ion Battery. AIPR 2022: 102-108 - 2021
- [j5]Hengshan Zhang, Chunru Chen, Tianhua Chen, Zhongmin Wang, Yanping Chen:
Mixed aggregation functions for outliers detection. J. Intell. Fuzzy Syst. 40(3): 3999-4012 (2021) - [j4]Hengshan Zhang, Yimin Zhou, Tianhua Chen, Richard Hill, Zhongmin Wang, Yanping Chen:
Refinement of weights using attribute support for multiple attribute decision making. J. Comput. Sci. 54: 101440 (2021) - [j3]Hengshan Zhang, Yimin Zhou, Qinghua Zheng, Zhongmin Wang, Yanping Chen, Chunru Chen, Ting Liu:
A Novel Large Group Decision-Making Method via Normalized Alternative Prediction Selection. IEEE Trans. Fuzzy Syst. 29(7): 1992-2005 (2021) - [j2]Yu Qu, Qinghua Zheng, Jianlei Chi, Yangxu Jin, Ancheng He, Di Cui, Hengshan Zhang, Ting Liu:
Using K-core Decomposition on Class Dependency Networks to Improve Bug Prediction Model's Practical Performance. IEEE Trans. Software Eng. 47(2): 348-366 (2021) - [c14]Hengshan Zhang, Di Wu, Zhongmin Wang, Yanping Chen, Jiaxuan Xu:
Remaining Useful Life Prediction of Lithium Battery via Neural Network Ensemble. ISKE 2021: 392-397 - [c13]Hengshan Zhang, Xiaoyan Liu, Jiaxuan Xu, Haoru Li, Zhongmin Wang, Yanping Chen:
A Novel Clustering Algorithm via the Support and K-Nearest Neighbors of Data. ISKE 2021: 598-603 - [c12]Hengshan Zhang, Di Wu, Zhongmin Wang, Yanping Chen:
An Ensemble Method for the Heterogeneous Neural Network to Predict the Remaining Useful Life of Lithium-ion Battery. SMC 2021: 2433-2438 - 2020
- [c11]Hengshan Zhang, Tianhua Chen, Zhongmin Wang, Yanping Chen, Chunru Chen:
A Novel Group Decision Making Approach using Pythagorean Fuzzy Preference Relation. FUZZ-IEEE 2020: 1-6
2010 – 2019
- 2019
- [c10]Tianhua Chen, Pan Su, Changjing Shang, Richard Hill, Hengshan Zhang, Qiang Shen:
Sentiment Classification of Drug Reviews Using Fuzzy-rough Feature Selection. FUZZ-IEEE 2019: 1-6 - [c9]Hengshan Zhang, Qinghua Zheng, Zhongmin Wang, Yanping Chen, Ting Liu, Tianhua Chen:
Method Selecting Correct One Among Alternatives Utilizing Intuitionistic Fuzzy Preference Relation Without Consensus Reaching Process. FUZZ-IEEE 2019: 1-6 - [c8]Zhongmin Wang, Wudong Fan, Hengshan Zhang, Yimin Zhou:
Estimation of Bearing Remaining Useful Life Based on Hybrid Deep Learning Framework. ISKE 2019: 96-101 - [c7]Zhongmin Wang, Lin Wei, Hengshan Zhang, Tianhua Chen, Yimin Zhou:
A Method Of Assembly Line Balancing Problem With Uncertain Operation Time. ISKE 2019: 220-226 - [d1]Hengshan Zhang:
The opinions of the decision makers. IEEE DataPort, 2019 - 2018
- [c6]Hengshan Zhang, Qinghua Zheng, Zhongmin Wang, Yanping Chen, Yu Qu, Ting Liu:
Crowd Intelligence for Decision Making Based on Positive and Negative Comparing With Linguistic Scale. FUZZ-IEEE 2018: 1-8 - 2016
- [j1]Hengshan Zhang, Qinghua Zheng, Ting Liu, Zijiang Yang, Minnan Luo, Yu Qu:
Improving Linguistic Pairwise Comparison Consistency via Linguistic Discrete Regions. IEEE Trans. Fuzzy Syst. 24(3): 600-614 (2016) - [c5]Hengshan Zhang, Qinghua Zheng, Ting Liu, Yu Qu:
Mixed Intuitionistic Fuzzy Aggregation Operators decreasing results of unusual IFNs. FUZZ-IEEE 2016: 896-903 - 2015
- [c4]Hengshan Zhang, Qinghua Zheng, Ting Liu, Xiaojun Cui:
A grade assignment and IFS translation approach based on intensive region searching. FUZZ-IEEE 2015: 1-8 - 2014
- [c3]Yan Nan, Hengshan Zhang, Qinghua Zheng, Di Wang, Ting Liu, Boqin Feng:
IFSDA: An intuitionistic fuzzy set-based data aggregation approach for software maintainability evaluation. FSKD 2014: 237-242 - [c2]Hengshan Zhang, Qinghua Zheng, Ting Liu, Yan Nan:
A new approach to improve the consistency of linguistic pair-wise comparison matrix and derive interval weight vector. FUZZ-IEEE 2014: 1190-1196 - 2013
- [c1]Hengshan Zhang, Qinghua Zheng, Ting Liu, Zijiang Yang, Jiahe Liu:
A discrete region-based approach to improve the consistency of pair-wise comparison matrix. FUZZ-IEEE 2013: 1-7
Coauthor Index
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