Simple to Complex Transfer Learning for Action Recognition. - Fang Liu 030; Xiangmin Xu; Shuoyang Qiu; Chunmei Qing; Dacheng Tao (IEEE Trans. Image Process., 2016)

Probability Matrix SVM+ Learning for Complex Action Recognition. - Fang Liu 030; Xiangmin Xu; Chunmei Qing; Jianxiu Jin (ICIMCS, 2017)

Robust Emotion Navigation: Few-shot Visual Sentiment Analysis by Auxiliary Noisy Data. - Lin Wang 004; Xiangmin Xu; Fang Liu 030; Xiaofen Xing; Bolun Cai; Weirui Lu (ACII Workshops, 2019)

Random Walks with GMM Statistical Inference Algorithm for Segmentation of Ground Glass Opacity Pulmonary Nodules. - Xiangxia Li; Fang Liu 030 (ISCID (2), 2019)

Exploring Cluster Stocks based on deep learning for Stock Prediction. - Fang Liu 030; Xiangxia Li; Lin Wang 004 (ISCID (2), 2019)

Segmentation of Pulmonary Nodules Using a GMM Fuzzy C-Means Algorithm. - Xiangxia Li; Bin Li 024; Fang Liu 030; Hua Yin; Feng Zhou 018 (IEEE Access, 2020)

Exploring privileged information from simple actions for complex action recognition. - Fang Liu 030; Xiangmin Xu; Tong Zhang 015; Kailing Guo; Lin Wang 004 (Neurocomputing, 2020)

Simple to complex dictionary learning for action recognition. - Fang Liu 030; Feifei Qi; Xiaofen Xing; Kailing Guo (ACAI, 2021)

Two-stream Gabor-AGraph Convolutional Networks for Facial Expression Recognition. - Shaoping Jiang; Xiangmin Xu; Xiaofen Xing; Lin Wang 004; Fang Liu 030 (FG, 2021)

Two-stream Global-Guided Attention Network for Facial Expression Recognition. - Yaoli Wen; Xiangmin Xu; Fang Liu 030; Xiaofen Xing; Lin Wang 004 (FG, 2021)

CS-GResNet: A Simple and Highly Efficient Network for Facial Expression Recognition. - Shaoping Jiang; Xiangmin Xu; Fang Liu 030; Xiaofen Xing; Lin Wang 004 (ICASSP, 2022)

Compact Model Training by Low-Rank Projection with Energy Transfer. - Kailing Guo; Zhenquan Lin; Xiaofen Xing; Fang Liu 030; Xiangmin Xu (CoRR, 2022)

Simple-action-guided dictionary learning for complex action recognition. - Fang Liu 030; Xiangmin Xu; Xiaofen Xing; Kailing Guo; Lin Wang 004 (Neurocomputing, 2022)

Cross Range Quantization for Network Compression. - Yicai Yang; Xiaofen Xing; Ming Chen; Kailing Guo; Xiangmin Xu; Fang Liu 030 (IJCNN, 2023)

LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch. - Pucheng Zhai; Kailing Guo; Fang Liu 030; Xiaofen Xing; Xiangmin Xu (CoRR, 2023)

Reflective Learning With Label Noise. - Lin Wang 004; Xiangmin Xu; Kailing Guo; Bolun Cai; Fang Liu 030 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Multimodal speech emotion recognition via dynamic multilevel contrastive loss under local enhancement network. - Weiquan Fan; Xiangmin Xu; Fang Liu 030; Xiaofen Xing (Expert Syst. Appl., 2025)

Compact Model Training by Low-Rank Projection With Energy Transfer. - Kailing Guo; Zhenquan Lin; Canyang Chen; Xiaofen Xing; Fang Liu 030; Xiangmin Xu (IEEE Trans. Neural Networks Learn. Syst., 2025)