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2020 – today
- 2024
[j16]Tianlun Zhang, Xinlei Zhou, Debby D. Wang, Xizhao Wang
:
Feature similarity learning based on fuzziness minimization for semi-supervised medical image segmentation. Inf. Fusion 106: 102253 (2024)- [j15]Tianlun Zhang, Xizhao Wang:
Anchorwise Fuzziness Modeling in Convolution-Transformer Neural Network for Left Atrium Image Segmentation. IEEE Trans. Fuzzy Syst. 32(2): 398-408 (2024) - 2023
- [j14]Weichen Huang, Tianlun Zhang, Wenwu Zhou, Yingzheng Liu:
Influence of dust purge hole on thermal performance and particle deposition of a turbine blade with ribbed internal cooling channel. J. Vis. 26(2): 299-316 (2023) - 2022
- [j13]Gaihua Wang, Jinheng Lin, Qianyu Zhai, Cheng Lei, Yingying Dai, Tianlun Zhang:
MAMask: Multi-feature aggregation instance segmentation with pyramid attention mechanism. IET Image Process. 16(5): 1341-1348 (2022) - [j12]Gaihua Wang, Yingying Dai, Tianlun Zhang, Jinheng Lin, Lei Chen:
Feature fusion network based on siamese structure for change detection. J. Intell. Fuzzy Syst. 43(3): 3271-3282 (2022) - 2021
- [j11]Gaihua Wang, Tianlun Zhang, Yingying Dai, Jinheng Lin, Cheng Lei:
A Serial-Parallel Self-Attention Network Joint With Multi-Scale Dilated Convolution. IEEE Access 9: 71909-71919 (2021) - [j10]Jingna Liu, Rujiang Hao, Tianlun Zhang, Xizhao Wang:
Vibration fault diagnosis based on stochastic configuration neural networks. Neurocomputing 434: 98-125 (2021) - [j9]Junqi Yu, Tianlun Zhang, Anjun Zhao, Yunfei Xie:
Research on energy consumption prediction of office buildings based on comprehensive similar day and ensemble learning. J. Intell. Fuzzy Syst. 40(6): 11951-11965 (2021) - [j8]Yulong Fan, Rong Chen, Yang Li, Tianlun Zhang:
Deep neural de-raining model based on dynamic fusion of multiple vision tasks. Soft Comput. 25(3): 2221-2235 (2021) - 2020
- [j7]Tianlun Zhang, Xi Yang, Xizhao Wang, Ran Wang:
Deep joint neural model for single image haze removal and color correction. Inf. Sci. 541: 16-35 (2020) - [j6]Tianlun Zhang, Yang Li, Xizhao Wang:
Gaussian prior based adaptive synthetic sampling with non-linear sample space for imbalanced learning. Knowl. Based Syst. 191: 105231 (2020) - [j5]Tianlun Zhang, Rong Chen, Xi Yang, Hongyu Zhu:
An uncertainty based incremental learning for identifying the severity of bug report. Int. J. Mach. Learn. Cybern. 11(1): 123-136 (2020) - [i2]Hui Li, Xi Yang, ZhenMing Li, Tianlun Zhang:
Underwater image enhancement with Image Colorfulness Measure. CoRR abs/2004.08609 (2020)
2010 – 2019
- 2019
- [j4]Tianlun Zhang, Rong Chen, Xi Yang, Shikai Guo:
Rich Feature Combination for Cost-Based Broad Learning System. IEEE Access 7: 160-172 (2019) - [j3]Shikai Guo, Rong Chen, Hui Li, Tianlun Zhang, Yaqing Liu:
Identify Severity Bug Report with Distribution Imbalance by CR-SMOTE and ELM. Int. J. Softw. Eng. Knowl. Eng. 29(2): 139-175 (2019) - [j2]Rong Chen, Shikai Guo, Xi-Zhao Wang, Tianlun Zhang:
Fusion of Multi-RSMOTE With Fuzzy Integral to Classify Bug Reports With an Imbalanced Distribution. IEEE Trans. Fuzzy Syst. 27(12): 2406-2420 (2019) - [j1]Xi-Zhao Wang, Tianlun Zhang, Ran Wang:
Noniterative Deep Learning: Incorporating Restricted Boltzmann Machine Into Multilayer Random Weight Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. 49(7): 1299-1308 (2019) - [c2]Tianlun Zhang, Yang Li, Rong Chen:
Evolutionary-Based Weighted Broad Learning System for Imbalanced Learning. ISKE 2019: 607-615 - 2018
- [i1]Tianlun Zhang, Xi Yang:
G-SMOTE: A GMM-based synthetic minority oversampling technique for imbalanced learning. CoRR abs/1810.10363 (2018) - 2011
- [c1]Changbo Wang, Chenhui Li, Yuhua Liu, Jin Cui, Tianlun Zhang:
Behavior-Based Simulation of Real-Time Crowd Evacuation. CAD/Graphics 2011: 456-461
Coauthor Index
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