Hua Zuo

According to our database, Hua Zuo authored at least 37 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Multidomain Adaptation With Sample and Source Distillation.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

IEEE Trans. Cybern., April, 2024

Multi-source domain adaptation handling inaccurate label spaces.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

Neurocomputing, 2024

Towards Robustness Prompt Tuning with Fully Test-Time Adaptation for CLIP's Zero-Shot Generalization.

Ran Wang, Hua Zuo, Zhen Fang, Jie Lu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Prompt-Based Memory Bank for Continual Test-Time Domain Adaptation in Vision-Language Models.

Ran Wang, Hua Zuo, Zhen Fang, Jie Lu

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Source-Free Multidomain Adaptation With Fuzzy Rule-Based Deep Neural Networks.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

IEEE Trans. Fuzzy Syst., December, 2023

Dynamic Classifier Alignment for Unsupervised Multi-Source Domain Adaptation.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

IEEE Trans. Knowl. Data Eng., May, 2023

Multi-Source Domain Adaptation with Incomplete Source Label Spaces.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Domain Adaptation for Image Segmentation with Category-Guide Classifier.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Attention-Bridging TS Fuzzy Rules for Universal Multi-Domain Adaptation Without Source Data.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Multiple Teacher Model for Continual Test-Time Domain Adaptation.

Ran Wang, Hua Zuo, Zhen Fang, Jie Lu

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Transformed Successor Features for Transfer Reinforcement Learning.

Kiyoshige Garcés, Junyu Xuan, Hua Zuo

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Multi-Source Contribution Learning for Domain Adaptation.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

IEEE Trans. Neural Networks Learn. Syst., 2022

Fuzzy Multioutput Transfer Learning for Regression.

Xiaoya Che, Hua Zuo, Jie Lu, Degang Chen

IEEE Trans. Fuzzy Syst., 2022

Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Multi-Source Domain Adaptation with Fuzzy-Rule based Deep Neural Networks.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

Fuzzy Multiple-Source Transfer Learning.

Jie Lu, Hua Zuo, Guangquan Zhang

IEEE Trans. Fuzzy Syst., 2020

Distributed Feature Selection for Big Data Using Fuzzy Rough Sets.

Linghe Kong, Wenhao Qu, Jiadi Yu, Hua Zuo, Guihai Chen, Fei Xiong, Shirui Pan, Siyu Lin, Meikang Qiu

IEEE Trans. Fuzzy Syst., 2020

Multiple-source Domain Adaptation in Rule-based Neural Network.

Hua Zuo, Jie Lu, Guangquan Zhang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multi-Source Domain Adaptation with Distribution Fusion and Relationship Extraction.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces.

Hua Zuo, Jie Lu, Guangquan Zhang, Witold Pedrycz

IEEE Trans. Fuzzy Syst., 2019

Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning.

Hua Zuo, Jie Lu, Guangquan Zhang, Feng Liu

IEEE Trans. Fuzzy Syst., 2019

Fuzzy Transfer Learning in Heterogeneous Space Using Takagi-Sugeno Fuzzy Models.

Hua Zuo, Guangquan Zhang, Jie Lu

Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

Domain Selection of Transfer Learning in Fuzzy Prediction Models.

Hua Zuo, Guangquan Zhang, Witold Pedrycz, Jie Lu

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Transfer learning in Takagi-Sugeno fuzzy models

Hua Zuo

PhD thesis, 2018

Granular Fuzzy Regression Domain Adaptation in Takagi-Sugeno Fuzzy Models.

Hua Zuo, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, Jie Lu

IEEE Trans. Fuzzy Syst., 2018

Fuzzy Domain Adaptation Using Unlabeled Target Data.

Hua Zuo, Guangquan Zhang, Jie Lu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Fuzzy Regression Transfer Learning in Takagi-Sugeno Fuzzy Models.

Hua Zuo, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, Jie Lu

IEEE Trans. Fuzzy Syst., 2017

Fuzzy rule-based transfer learning for label space adaptation.

Hua Zuo, Guangquan Zhang, Jie Lu, Witold Pedrycz

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2015

Transfer learning using computational intelligence: A survey.

Jie Lu, Vahid Behbood, Peng Hao, Hua Zuo, Shan Xue, Guangquan Zhang

Knowl. Based Syst., 2015

Transfer Learning in Hierarchical Feature Spaces.

Hua Zuo, Guangquan Zhang, Vahid Behbood, Jie Lu, Xianli Meng

Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

Feature Spaces-based Transfer Learning.

Hua Zuo, Guangquan Zhang, Vahid Behbood, Jie Lu

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014

Research on multi-objective linear programming problem with fuzzy coefficients in constraints.

Guo-Li Zhang, Hua Zuo

Int. J. Mach. Learn. Cybern., 2014

2013

Pareto Optimal Solution Analysis of Convex Multi-Objective Programming Problem.

Li Guo Zhang, Hua Zuo

J. Networks, 2013

Solution analysis of multi-objective programming problem.

Guo-Li Zhang, Hua Zuo

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Fuzzy Number Ranking Based on Combination of Deviation Degree and Centroid.

Dan Wang, Guo-Li Zhang, Hua Zuo

Proceedings of the Information Computing and Applications - 4th International Conference, 2013

2012

An analysis of solutions for fuzzy multi-objective linear programming problem.

Hua Zuo, Guo-Li Zhang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Hybrid linear and nonlinear weight Particle Swarm Optimization algorithm.

Jian-Ru Zheng, Guo-Li Zhang, Hua Zuo

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012