Non-local Self-attentive Autoencoder for Genetic Functionality Prediction. - Yun Li; Zhe Liu 023; Lina Yao 001; Zihuai He (CIKM, 2020)

Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. - Zhe Liu 023; Lina Yao 001; Xianzhi Wang 001; Lei Bai 001; Jake An (IJCNN, 2020)

Spectrum-Guided Adversarial Disparity Learning. - Zhe Liu 023; Lina Yao 001; Lei Bai 001; Xianzhi Wang 001; Can Wang 004 (KDD, 2020)

Agglomerative Neural Networks for Multi-view Clustering. - Zhe Liu 023; Yun Li; Lina Yao 001; Xianzhi Wang 001; Feiping Nie 001 (CoRR, 2020)

Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding. - Zhe Liu 023; Xianzhi Wang 001; Lina Yao 001; Jake An; Lei Bai 001; Ee-Peng Lim (CoRR, 2020)

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. - Xiang Zhang 012; Lina Yao 001; Manqing Dong; Zhe Liu 023; Yu Zhang 083; Yong Li 008 (IEEE J. Biomed. Health Informatics, 2020)

Task Aligned Generative Meta-learning for Zero-shot Learning. - Zhe Liu 023; Yun Li; Lina Yao 001; Xianzhi Wang 001; Guodong Long (AAAI, 2021)

Attribute-Modulated Generative Meta Learning for Zero-Shot Classification. - Yun Li; Zhe Liu 023; Lina Yao 001; Xianzhi Wang 001; Can Wang 004 (CoRR, 2021)

Knowledge discovery and transfer on limited datasets. - Zhe Liu 023 (2021)

Balancing Generalization and Specialization in Zero-shot Learning. - Yun Li; Zhe Liu 023; Lina Yao 001; Xiaojun Chang (CoRR, 2022)

Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus. - Yun Li; Zhe Liu 023; Lina Yao 001; Molly Lucas; Jessica J. M. Monaghan; Yu Zhang 083 (CoRR, 2022)

Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning. - Zhe Liu 023; Yun Li; Lina Yao 001; Xiaojun Chang; Wei Fang 001; Xiaojun Wu 001; Yi Yang 001 (CoRR, 2022)

Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding. - Zhe Liu 023; Xianzhi Wang 001; Yun Li; Lina Yao 001; Jake An; Lei Bai 001; Ee-Peng Lim (Knowl. Based Syst., 2022)

An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. - Yun Li; Zhe Liu 023; Lina Yao 001; Xianzhi Wang 001; Julian J. McAuley; Xiaojun Chang (IEEE Trans. Circuits Syst. Video Technol., 2022)

Agglomerative Neural Networks for Multiview Clustering. - Zhe Liu 023; Yun Li; Lina Yao 001; Xianzhi Wang 001; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. - Yun Li; Zhe Liu 023; Saurav Jha; Lina Yao 001 (ICCV, 2023)

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. - Yun Li; Zhe Liu 023; Saurav Jha; Sally Cripps; Lina Yao 001 (CoRR, 2023)

Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis. - Yun Li; Zhe Liu 023; Lina Yao 001; Jessica J. M. Monaghan; David McAlpine (IEEE J. Biomed. Health Informatics, 2023)

Attribute-Modulated Generative Meta Learning for Zero-Shot Learning. - Yun Li; Zhe Liu 023; Lina Yao 001; Xiaojun Chang (IEEE Trans. Multim., 2023)

Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning. - Yun Li; Zhe Liu 023; Xiaojun Chang; Julian J. McAuley; Lina Yao 001 (IEEE Trans. Multim., 2023)

Context-Based and Diversity-Driven Specificity in Compositional Zero-Shot Learning. - Yun Li; Zhe Liu 023; Hang Chen; Lina Yao 001 (CVPR, 2024)

Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. - Zhe Liu 023; Yun Li; Lina Yao 001; Xiaojun Chang; Wei Fang 001; Xiaojun Wu 001; Abdulmotaleb El-Saddik (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. - Zhe Liu 023; Yun Li; Lina Yao 001; Julian J. McAuley; Sam Dixon (IEEE Trans. Neural Networks Learn. Syst., 2024)