Zhe Liu

According to our database, Zhe Liu authored at least 23 papers between 2020 and 2024.

Collaborative distances:

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

2024

Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning.

Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning.

Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Abdulmotaleb El-Saddik

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Context-Based and Diversity-Driven Specificity in Compositional Zero-Shot Learning.

Yun Li, Zhe Liu, Hang Chen, Lina Yao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning.

Yun Li, Zhe Liu, Xiaojun Chang, Julian J. McAuley, Lina Yao

IEEE Trans. Multim., 2023

Attribute-Modulated Generative Meta Learning for Zero-Shot Learning.

Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang

IEEE Trans. Multim., 2023

Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis.

Yun Li, Zhe Liu, Lina Yao, Jessica J. M. Monaghan, David McAlpine

IEEE J. Biomed. Health Informatics, 2023

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning.

Yun Li, Zhe Liu, Saurav Jha, Sally Cripps, Lina Yao

CoRR, 2023

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning.

Yun Li, Zhe Liu, Saurav Jha, Lina Yao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Agglomerative Neural Networks for Multiview Clustering.

Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie

IEEE Trans. Neural Networks Learn. Syst., 2022

An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning.

Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang

IEEE Trans. Circuits Syst. Video Technol., 2022

Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding.

Zhe Liu, Xianzhi Wang, Yun Li, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim

Knowl. Based Syst., 2022

Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning.

Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Yi Yang

CoRR, 2022

Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus.

Yun Li, Zhe Liu, Lina Yao, Molly Lucas, Jessica J. M. Monaghan, Yu Zhang

CoRR, 2022

Balancing Generalization and Specialization in Zero-shot Learning.

Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang

CoRR, 2022

2021

Knowledge discovery and transfer on limited datasets.

Zhe Liu

PhD thesis, 2021

Attribute-Modulated Generative Meta Learning for Zero-Shot Classification.

Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang

CoRR, 2021

Task Aligned Generative Meta-learning for Zero-shot Learning.

Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection.

Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li

IEEE J. Biomed. Health Informatics, 2020

Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding.

Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim

CoRR, 2020

Agglomerative Neural Networks for Multi-view Clustering.

Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie

CoRR, 2020

Spectrum-Guided Adversarial Disparity Learning.

Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction.

Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An

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

Non-local Self-attentive Autoencoder for Genetic Functionality Prediction.

Yun Li, Zhe Liu, Lina Yao, Zihuai He

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020