Keqiuyin Li

According to our database, Keqiuyin Li authored at least 17 papers between 2018 and 2025.

Collaborative distances:

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

2025

Fuzzy Domain Adaptation From Heterogeneous Source Teacher Models.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

IEEE Trans. Fuzzy Syst., June, 2025

Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer.

Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Federated Fuzzy Transfer Learning With Domain and Category Shifts.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

IEEE Trans. Fuzzy Syst., December, 2024

Multidomain Adaptation With Sample and Source Distillation.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

IEEE Trans. Cybern., April, 2024

Source-Free Unsupervised Domain Adaptation: Current research and future directions.

Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang

Neurocomputing, January, 2024

Multi-source domain adaptation handling inaccurate label spaces.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

Neurocomputing, 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

2022

Multi-Source Contribution Learning for Domain Adaptation.

Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang

IEEE Trans. Neural Networks Learn. 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

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

Super-resolution using neighbourhood regression with local structure prior.

Keqiuyin Li, Feilong Cao

Signal Process. Image Commun., 2019

2018

A new method for image super-resolution with multi-channel constraints.

Feilong Cao, Keqiuyin Li

Knowl. Based Syst., 2018