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2020 – today
- 2024
[j15]Keqiuyin Li
, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-source domain adaptation handling inaccurate label spaces. Neurocomputing 594: 127824 (2024)- [j14]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multidomain Adaptation With Sample and Source Distillation. IEEE Trans. Cybern. 54(4): 2193-2205 (2024) - [c20]Ran Wang, Hua Zuo, Zhen Fang, Jie Lu:
Prompt-Based Memory Bank for Continual Test-Time Domain Adaptation in Vision-Language Models. IJCNN 2024: 1-8 - 2023
- [j13]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Source-Free Multidomain Adaptation With Fuzzy Rule-Based Deep Neural Networks. IEEE Trans. Fuzzy Syst. 31(12): 4180-4194 (2023) - [j12]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Dynamic Classifier Alignment for Unsupervised Multi-Source Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(5): 4727-4740 (2023) - [c19]Kiyoshige Garcés, Junyu Xuan, Hua Zuo:
Transformed Successor Features for Transfer Reinforcement Learning. AI (2) 2023: 298-309 - [c18]Ran Wang, Hua Zuo, Zhen Fang, Jie Lu:
Multiple Teacher Model for Continual Test-Time Domain Adaptation. AI (1) 2023: 304-314 - [c17]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Attention-Bridging TS Fuzzy Rules for Universal Multi-Domain Adaptation Without Source Data. FUZZ 2023: 1-6 - [c16]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Domain Adaptation for Image Segmentation with Category-Guide Classifier. ISKE 2023: 568-572 - [c15]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-Source Domain Adaptation with Incomplete Source Label Spaces. KES 2023: 2343-2350 - 2022
- [j11]Xiaoya Che, Hua Zuo, Jie Lu, Degang Chen:
Fuzzy Multioutput Transfer Learning for Regression. IEEE Trans. Fuzzy Syst. 30(7): 2438-2451 (2022) - [j10]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-Source Contribution Learning for Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5293-5307 (2022) - [c14]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training. IJCNN 2022: 1-8 - 2021
- [c13]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-Source Domain Adaptation with Fuzzy-Rule based Deep Neural Networks. FUZZ-IEEE 2021: 1-6 - 2020
- [j9]Linghe Kong, Wenhao Qu, Jiadi Yu, Hua Zuo, Guihai Chen, Fei Xiong, Shirui Pan, Siyu Lin, Meikang Qiu:
Distributed Feature Selection for Big Data Using Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 28(5): 846-857 (2020) - [j8]Jie Lu, Hua Zuo, Guangquan Zhang:
Fuzzy Multiple-Source Transfer Learning. IEEE Trans. Fuzzy Syst. 28(12): 3418-3431 (2020) - [c12]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-Source Domain Adaptation with Distribution Fusion and Relationship Extraction. IJCNN 2020: 1-6 - [c11]Hua Zuo, Jie Lu, Guangquan Zhang:
Multiple-source Domain Adaptation in Rule-based Neural Network. IJCNN 2020: 1-6
2010 – 2019
- 2019
- [j7]Hua Zuo, Jie Lu, Guangquan Zhang, Feng Liu:
Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning. IEEE Trans. Fuzzy Syst. 27(2): 291-303 (2019) - [j6]Hua Zuo, Jie Lu, Guangquan Zhang, Witold Pedrycz:
Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces. IEEE Trans. Fuzzy Syst. 27(2): 348-361 (2019) - [c10]Hua Zuo, Guangquan Zhang, Witold Pedrycz, Jie Lu:
Domain Selection of Transfer Learning in Fuzzy Prediction Models. FUZZ-IEEE 2019: 1-6 - [c9]Hua Zuo, Guangquan Zhang, Jie Lu:
Fuzzy Transfer Learning in Heterogeneous Space Using Takagi-Sugeno Fuzzy Models. IFSA/NAFIPS 2019: 752-763 - 2018
- [b1]Hua Zuo:
Transfer learning in Takagi-Sugeno fuzzy models. University of Technology Sydney, Australia, 2018 - [j5]Hua Zuo, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, Jie Lu:
Granular Fuzzy Regression Domain Adaptation in Takagi-Sugeno Fuzzy Models. IEEE Trans. Fuzzy Syst. 26(2): 847-858 (2018) - [c8]Hua Zuo, Guangquan Zhang, Jie Lu:
Fuzzy Domain Adaptation Using Unlabeled Target Data. ICONIP (3) 2018: 242-250 - 2017
- [j4]Hua Zuo, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, Jie Lu:
Fuzzy Regression Transfer Learning in Takagi-Sugeno Fuzzy Models. IEEE Trans. Fuzzy Syst. 25(6): 1795-1807 (2017) - [c7]Hua Zuo, Guangquan Zhang, Jie Lu, Witold Pedrycz:
Fuzzy rule-based transfer learning for label space adaptation. FUZZ-IEEE 2017: 1-6 - 2015
- [j3]Jie Lu, Vahid Behbood, Peng Hao, Hua Zuo, Shan Xue, Guangquan Zhang:
Transfer learning using computational intelligence: A survey. Knowl. Based Syst. 80: 14-23 (2015) - [c6]Hua Zuo, Guangquan Zhang, Vahid Behbood, Jie Lu:
Feature Spaces-based Transfer Learning. IFSA-EUSFLAT 2015 - [c5]Hua Zuo, Guangquan Zhang, Vahid Behbood, Jie Lu, Xianli Meng:
Transfer Learning in Hierarchical Feature Spaces. ISKE 2015: 183-188 - 2014
- [j2]Guo-Li Zhang, Hua Zuo:
Research on multi-objective linear programming problem with fuzzy coefficients in constraints. Int. J. Mach. Learn. Cybern. 5(3): 403-412 (2014) - 2013
- [j1]Li Guo Zhang, Hua Zuo:
Pareto Optimal Solution Analysis of Convex Multi-Objective Programming Problem. J. Networks 8(2): 437-444 (2013) - [c4]Dan Wang, Guo-Li Zhang, Hua Zuo:
Fuzzy Number Ranking Based on Combination of Deviation Degree and Centroid. ICICA (2) 2013: 595-604 - [c3]Guo-Li Zhang, Hua Zuo:
Solution analysis of multi-objective programming problem. ICMLC 2013: 1039-1044 - 2012
- [c2]Hua Zuo, Guo-Li Zhang:
An analysis of solutions for fuzzy multi-objective linear programming problem. ICMLC 2012: 267-271 - [c1]Jian-Ru Zheng, Guo-Li Zhang, Hua Zuo:
Hybrid linear and nonlinear weight Particle Swarm Optimization algorithm. ICMLC 2012: 1237-1241
Coauthor Index
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