Yang Liu

According to our database, Yang Liu authored at least 32 papers between 2018 and 2024.

Collaborative distances:

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

2024

Zero-Shot Learning With Attentive Region Embedding and Enhanced Semantics.

Yang Liu, Yuhao Dang, Xinbo Gao, Jungong Han, Ling Shao

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

2023

A Discriminative Cross-Aligned Variational Autoencoder for Zero-Shot Learning.

Yang Liu, Xinbo Gao, Jungong Han, Ling Shao

IEEE Trans. Cybern., June, 2023

2022

Zero-shot learning via a specific rank-controlled semantic autoencoder.

Yang Liu, Xinbo Gao, Jungong Han, Li Liu, Ling Shao

Pattern Recognit., 2022

Cross-modality person re-identification via multi-task learning.

Nianchang Huang, Kunlong Liu, Yang Liu, Qiang Zhang, Jungong Han

Pattern Recognit., 2022

MogFace: Towards a Deeper Appreciation on Face Detection.

Yang Liu, Fei Wang, Jiankang Deng, Zhipeng Zhou, Baigui Sun, Hao Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TransZero: Attribute-Guided Transformer for Zero-Shot Learning.

Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Relation-based Discriminative Cooperation Network for Zero-Shot Classification.

Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao

Pattern Recognit., 2021

MogFace: Rethinking Scale Augmentation on the Face Detector.

Yang Liu, Fei Wang, Baigui Sun, Hao Li

CoRR, 2021

Zero-Shot Learning via Discriminative Dual Semantic Auto-Encoder.

Nan Xing, Yang Liu, Hong Zhu, Jing Wang, Jungong Han

IEEE Access, 2021

HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning.

Shiming Chen, Guo-Sen Xie, Yang Liu, Qinmu Peng, Baigui Sun, Hao Li, Xinge You, Ling Shao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

A Joint Label Space for Generalized Zero-Shot Classification.

Jin Li, Xuguang Lan, Yang Long, Yang Liu, Xingyu Chen, Ling Shao, Nanning Zheng

IEEE Trans. Image Process., 2020

Label-activating framework for zero-shot learning.

Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao

Neural Networks, 2020

Multi-view projected clustering with graph learning.

Quanxue Gao, Zhizhen Wan, Ying Liang, Qianqian Wang, Yang Liu, Ling Shao

Neural Networks, 2020

A Simple Discriminative Dual Semantic Auto-encoder for Zero-shot Classification.

Yang Liu, Jin Li, Xinbo Gao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Flexible unsupervised feature extraction for image classification.

Yang Liu, Feiping Nie, Quanxue Gao, Xinbo Gao, Jungong Han, Ling Shao

Neural Networks, 2019

Adaptive robust principal component analysis.

Yang Liu, Xinbo Gao, Quanxue Gao, Ling Shao, Jungong Han

Neural Networks, 2019

Nuclear-norm based 2DLDA with application to face recognition.

Pu Zhang, Siyang Deng, Feiping Nie, Yang Liu, Xiangdong Zhang, Quanxue Gao

Neurocomputing, 2019

Hyperspectral image denoising via minimizing the partial sum of singular values and superpixel segmentation.

Yang Liu, Caifeng Shan, Quanxue Gao, Xinbo Gao, Jungong Han, Rongmei Cui

Neurocomputing, 2019

Image Classification Using Low-Rank Regularized Extreme Learning Machine.

Qin Li, Yang Liu, Shujian Wang, Quanxue Gao, Xinbo Gao

IEEE Access, 2019

Graph and Autoencoder Based Feature Extraction for Zero-shot Learning.

Yang Liu, De-Yan Xie, Quanxue Gao, Jungong Han, Shujian Wang, Xinbo Gao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Worst-Case Discriminative Feature Selection.

Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification.

Jin Li, Xuguang Lan, Yang Liu, Le Wang, Nanning Zheng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Angle 2DPCA: A New Formulation for 2DPCA.

Quanxue Gao, Lan Ma, Yang Liu, Xinbo Gao, Feiping Nie

IEEE Trans. Cybern., 2018

SVM based multi-label learning with missing labels for image annotation.

Yang Liu, Kaiwen Wen, Quanxue Gao, Xinbo Gao, Feiping Nie

Pattern Recognit., 2018

Euler Label Consistent K-SVD for image classification and action recognition.

Yue Song, Yang Liu, Quanxue Gao, Xinbo Gao, Feiping Nie, Rongmei Cui

Neurocomputing, 2018

Learning more distinctive representation by enhanced PCA network.

Yang Liu, Shuangshuang Zhao, Qianqian Wang, Quanxue Gao

Neurocomputing, 2018

Nuclear-norm based semi-supervised multiple labels learning.

Yang Liu, Feiping Nie, Quanxue Gao

Neurocomputing, 2018

L_{2, 1}-Norm Discriminant Manifold Learning.

Yang Liu, Quanxue Gao, Xinbo Gao, Ling Shao

IEEE Access, 2018

Learning with Adaptive Neighbors for Image Clustering.

Yang Liu, Quanxue Gao, Zhaohua Yang, Shujian Wang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder.

Yang Liu, Quanxue Gao, Jin Li, Jungong Han, Ling Shao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Euler Sparse Representation for Image Classification.

Yang Liu, Quanxue Gao, Jungong Han, Shujian Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Robust Formulation for PCA: Avoiding Mean Calculation With L_{2, p}-norm Maximization.

Shuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018