Zhe Liu - RankMe

32 papers A* 5A 1B 1Journal 24

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Compositional Zero-Shot Learning with Contextualized Cues and Adaptive Contrastive Training. ACM Multimedia Yun Li, Lina Yao, Zhe Liu
2024	A*	`conf`	Context-Based and Diversity-Driven Specificity in Compositional Zero-Shot Learning. CVPR Yun Li, Zhe Liu, Hang Chen, Lina Yao
2024	J	`jnl`	Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning. CoRR Yun Li, Zhe Liu, Hang Chen, Lina Yao
2024	J	`jnl`	Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon
2024	J	`jnl`	Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Abdulmotaleb El Saddik
2023	J	`jnl`	Attribute-Modulated Generative Meta Learning for Zero-Shot Learning. IEEE Trans. Multim. Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang
2023	J	`jnl`	Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis. IEEE J. Biomed. Health Informatics Yun Li, Zhe Liu, Lina Yao, Jessica J. M. Monaghan, David McAlpine
2023	A*	`conf`	Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. ICCV Yun Li, Zhe Liu, Saurav Jha, Lina Yao
2023	J	`jnl`	Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. CoRR Yun Li, Zhe Liu, Saurav Jha, Sally Cripps, Lina Yao
2023	J	`jnl`	Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning. IEEE Trans. Multim. Yun Li, Zhe Liu, Xiaojun Chang, Julian J. McAuley, Lina Yao
2022	J	`jnl`	Agglomerative Neural Networks for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie
2022	J	`jnl`	An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang
2022	J	`jnl`	Balancing Generalization and Specialization in Zero-shot Learning. CoRR Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang
2022	J	`jnl`	Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis. CoRR Zhe Liu, Yun Li, Lina Yao, Jessica J. M. Monaghan, David McAlpine
2022	J	`jnl`	Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding. Knowl. Based Syst. Zhe Liu, Xianzhi Wang, Yun Li, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim
2022	J	`jnl`	Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus. CoRR Yun Li, Zhe Liu, Lina Yao, Molly Lucas, Jessica J. M. Monaghan, Yu Zhang
2022	J	`jnl`	Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning. CoRR Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Yi Yang
2021	J	`jnl`	An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning. CoRR Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang
2021	J	`jnl`	Attribute-Modulated Generative Meta Learning for Zero-Shot Classification. CoRR Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang
2021	—	`—`	Knowledge discovery and transfer on limited datasets. Zhe Liu
2021	J	`jnl`	Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. CoRR Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon
2021	A*	`conf`	Task Aligned Generative Meta-learning for Zero-shot Learning. AAAI Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
2021	J	`jnl`	Task Aligned Generative Meta-learning for Zero-shot Learning. CoRR Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
2020	J	`jnl`	Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. IEEE J. Biomed. Health Informatics Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li
2020	J	`jnl`	Agglomerative Neural Networks for Multi-view Clustering. CoRR Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie
2020	B	`conf`	Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. IJCNN Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An
2020	J	`jnl`	Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. CoRR Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An
2020	J	`jnl`	Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding. CoRR Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim
2020	A	`conf`	Non-local Self-attentive Autoencoder for Genetic Functionality Prediction. CIKM Yun Li, Zhe Liu, Lina Yao, Zihuai He
2020	A*	`conf`	Spectrum-Guided Adversarial Disparity Learning. KDD Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang
2020	J	`jnl`	Spectrum-Guided Adversarial Disparity Learning. CoRR Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang
2019	J	`jnl`	Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. CoRR Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li