Hybrid linear and nonlinear weight Particle Swarm Optimization algorithm. - Jian-Ru Zheng; Guo-Li Zhang; Hua Zuo (ICMLC, 2012)

An analysis of solutions for fuzzy multi-objective linear programming problem. - Hua Zuo; Guo-Li Zhang (ICMLC, 2012)

Fuzzy Number Ranking Based on Combination of Deviation Degree and Centroid. - Dan Wang; Guo-Li Zhang; Hua Zuo (ICICA (2), 2013)

Solution analysis of multi-objective programming problem. - Guo-Li Zhang; Hua Zuo (ICMLC, 2013)

Pareto Optimal Solution Analysis of Convex Multi-Objective Programming Problem. - Li Guo Zhang; Hua Zuo (J. Networks, 2013)

Research on multi-objective linear programming problem with fuzzy coefficients in constraints. - Guo-Li Zhang; Hua Zuo (Int. J. Mach. Learn. Cybern., 2014)

Feature Spaces-based Transfer Learning. - Hua Zuo; Guangquan Zhang 001; Vahid Behbood; Jie Lu 001 (IFSA-EUSFLAT, 2015)

Transfer Learning in Hierarchical Feature Spaces. - Hua Zuo; Guangquan Zhang 001; Vahid Behbood; Jie Lu 001; Xianli Meng (ISKE, 2015)

Transfer learning using computational intelligence: A survey. - Jie Lu 001; Vahid Behbood; Peng Hao; Hua Zuo; Shan Xue 001; Guangquan Zhang 001 (Knowl. Based Syst., 2015)

Fuzzy rule-based transfer learning for label space adaptation. - Hua Zuo; Guangquan Zhang 001; Jie Lu 001; Witold Pedrycz (FUZZ-IEEE, 2017)

Fuzzy Regression Transfer Learning in Takagi-Sugeno Fuzzy Models. - Hua Zuo; Guangquan Zhang 001; Witold Pedrycz; Vahid Behbood; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2017)

Fuzzy Domain Adaptation Using Unlabeled Target Data. - Hua Zuo; Guangquan Zhang 001; Jie Lu 001 (ICONIP (3), 2018)

Granular Fuzzy Regression Domain Adaptation in Takagi-Sugeno Fuzzy Models. - Hua Zuo; Guangquan Zhang 001; Witold Pedrycz; Vahid Behbood; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2018)

Transfer learning in Takagi-Sugeno fuzzy models - Hua Zuo (2018)

Domain Selection of Transfer Learning in Fuzzy Prediction Models. - Hua Zuo; Guangquan Zhang 001; Witold Pedrycz; Jie Lu 001 (FUZZ-IEEE, 2019)

Fuzzy Transfer Learning in Heterogeneous Space Using Takagi-Sugeno Fuzzy Models. - Hua Zuo; Guangquan Zhang 001; Jie Lu 001 (IFSA/NAFIPS, 2019)

Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning. - Hua Zuo; Jie Lu 001; Guangquan Zhang 001; Feng Liu 003 (IEEE Trans. Fuzzy Syst., 2019)

Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces. - Hua Zuo; Jie Lu 001; Guangquan Zhang 001; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2019)

Multi-Source Domain Adaptation with Distribution Fusion and Relationship Extraction. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IJCNN, 2020)

Multiple-source Domain Adaptation in Rule-based Neural Network. - Hua Zuo; Jie Lu 001; Guangquan Zhang 001 (IJCNN, 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)

Fuzzy Multiple-Source Transfer Learning. - Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2020)

Multi-Source Domain Adaptation with Fuzzy-Rule based Deep Neural Networks. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (FUZZ-IEEE, 2021)

Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IJCNN, 2022)

Fuzzy Multioutput Transfer Learning for Regression. - Xiaoya Che; Hua Zuo; Jie Lu 001; Degang Chen 002 (IEEE Trans. Fuzzy Syst., 2022)

Multi-Source Contribution Learning for Domain Adaptation. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Transformed Successor Features for Transfer Reinforcement Learning. - Kiyoshige Garcés; Junyu Xuan; Hua Zuo (AI (2), 2023)

Multiple Teacher Model for Continual Test-Time Domain Adaptation. - Ran Wang 016; Hua Zuo; Zhen Fang 001; Jie Lu 001 (AI (1), 2023)

Attention-Bridging TS Fuzzy Rules for Universal Multi-Domain Adaptation Without Source Data. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (FUZZ, 2023)

Domain Adaptation for Image Segmentation with Category-Guide Classifier. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (ISKE, 2023)

Multi-Source Domain Adaptation with Incomplete Source Label Spaces. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (KES, 2023)

Dynamic Classifier Alignment for Unsupervised Multi-Source Domain Adaptation. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Source-Free Multidomain Adaptation With Fuzzy Rule-Based Deep Neural Networks. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2023)

Bidirectional Dependency Representation Disentanglement for Time Series Classification. - Tianren Zhao; Hua Zuo; Guangquan Zhang 001 (AI (1), 2024)

Prompt-Based Memory Bank for Continual Test-Time Domain Adaptation in Vision-Language Models. - Ran Wang 016; Hua Zuo; Zhen Fang 001; Jie Lu 001 (IJCNN, 2024)

Towards Robustness Prompt Tuning with Fully Test-Time Adaptation for CLIP's Zero-Shot Generalization. - Ran Wang 016; Hua Zuo; Zhen Fang 001; Jie Lu 001 (ACM Multimedia, 2024)

Multi-source domain adaptation handling inaccurate label spaces. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (Neurocomputing, 2024)

Multidomain Adaptation With Sample and Source Distillation. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IEEE Trans. Cybern., 2024)

Federated Fuzzy Transfer Learning With Domain and Category Shifts. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2024)

Transfer Reinforcement Learning for Self-Regulated Learning Support: An Evaluation Using Successor Representations. - Kiyoshige Garcés; Gloria Milena Fernández Nieto; Mladen Rakovic; Xinyu Li 004; Tongguang Li; Linxuan Zhao; Dragan Gasevic; Junyu Xuan; Hua Zuo (AIED (6), 2025)

Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models. - Ran Wang 016; Hua Zuo; Zhen Fang 001; Jie Lu 001 (ACM Trans. Intell. Syst. Technol., 2025)

Fuzzy Domain Adaptation From Heterogeneous Source Teacher Models. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2025)

Fuzzy Rule-Based Test-Time Adaptation for Class Imbalance in Dynamic Scenarios. - Ran Wang 016; Hua Zuo; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2025)