Fang Liu

According to our database, Fang Liu authored at least 16 papers between 2016 and 2023.

Collaborative distances:

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

2023

Reflective Learning With Label Noise.

Lin Wang, Xiangmin Xu, Kailing Guo, Bolun Cai, Fang Liu

IEEE Trans. Circuits Syst. Video Technol., July, 2023

LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch.

Pucheng Zhai, Kailing Guo, Fang Liu, Xiaofen Xing, Xiangmin Xu

CoRR, 2023

Cross Range Quantization for Network Compression.

Yicai Yang, Xiaofen Xing, Ming Chen, Kailing Guo, Xiangmin Xu, Fang Liu

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Simple-action-guided dictionary learning for complex action recognition.

Fang Liu, Xiangmin Xu, Xiaofen Xing, Kailing Guo, Lin Wang

Neurocomputing, 2022

Compact Model Training by Low-Rank Projection with Energy Transfer.

Kailing Guo, Zhenquan Lin, Xiaofen Xing, Fang Liu, Xiangmin Xu

CoRR, 2022

CS-GResNet: A Simple and Highly Efficient Network for Facial Expression Recognition.

Shaoping Jiang, Xiangmin Xu, Fang Liu, Xiaofen Xing, Lin Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Two-stream Global-Guided Attention Network for Facial Expression Recognition.

Yaoli Wen, Xiangmin Xu, Fang Liu, Xiaofen Xing, Lin Wang

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Two-stream Gabor-AGraph Convolutional Networks for Facial Expression Recognition.

Shaoping Jiang, Xiangmin Xu, Xiaofen Xing, Lin Wang, Fang Liu

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Simple to complex dictionary learning for action recognition.

Fang Liu, Feifei Qi, Xiaofen Xing, Kailing Guo

Proceedings of the ACAI 2021: 4th International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 22, 2021

2020

Exploring privileged information from simple actions for complex action recognition.

Fang Liu, Xiangmin Xu, Tong Zhang, Kailing Guo, Lin Wang

Neurocomputing, 2020

Segmentation of Pulmonary Nodules Using a GMM Fuzzy C-Means Algorithm.

Xiangxia Li, Bin Li, Fang Liu, Hua Yin, Feng Zhou

IEEE Access, 2020

2019

Exploring Cluster Stocks based on deep learning for Stock Prediction.

Fang Liu, Xiangxia Li, Lin Wang

Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019

Random Walks with GMM Statistical Inference Algorithm for Segmentation of Ground Glass Opacity Pulmonary Nodules.

Xiangxia Li, Fang Liu

Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019

Robust Emotion Navigation: Few-shot Visual Sentiment Analysis by Auxiliary Noisy Data.

Lin Wang, Xiangmin Xu, Fang Liu, Xiaofen Xing, Bolun Cai, Weirui Lu

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019

2017

Probability Matrix SVM+ Learning for Complex Action Recognition.

Fang Liu, Xiangmin Xu, Chunmei Qing, Jianxiu Jin

Proceedings of the Internet Multimedia Computing and Service, 2017

2016

Simple to Complex Transfer Learning for Action Recognition.

Fang Liu, Xiangmin Xu, Shuoyang Qiu, Chunmei Qing, Dacheng Tao

IEEE Trans. Image Process., 2016