Skeleton-Based Action Recognition with Dense Spatial Temporal Graph Network. - Lin Feng 001; Zhenning Lu; Shenglan Liu 001; Dong Jiang; Yang Liu 066; Lianyu Hu 004 (ICONIP (5), 2020)

HFNet: A Novel Model for Human Focused Sports Action Recognition. - Lianyu Hu 004; Lin Feng 001; Shenglan Liu 001 (MMSports@MM, 2020)

FSD-10: A Dataset for Competitive Sports Content Analysis. - Shenglan Liu 001; Xiang Liu; Gao Huang 001; Lin Feng 001; Lianyu Hu 004; Dong Jiang; Aibin Zhang; Yang Liu 066; Hong Qiao (CoRR, 2020)

FSD-10: A fine-grained classification dataset for figure skating. - Shenglan Liu 001; Xiang Liu; Gao Huang 001; Hong Qiao; Lianyu Hu 004; Dong Jiang; Aibin Zhang; Yang Liu 066; Ge Guo (Neurocomputing, 2020)

Adaptive Graph Convolutional Network with Prior Knowledge for Action Recognition. - Guihong Lao; Lianyu Hu 004; Shenglan Liu 001; Zhuben Dong; Wujun Wen (ICONIP (2), 2021)

A Lightweight Multidimensional Self-attention Network for Fine-Grained Action Recognition. - Hao Liu 029; Shenglan Liu 001; Lin Feng 001; Lianyu Hu 004; Xiang Li; Heyu Fu (ICONIP (2), 2021)

Efficient Two-Step Networks for Temporal Action Segmentation. - Yunheng Li; Zhuben Dong; Kaiyuan Liu; Lin Feng 001; Lianyu Hu 004; Jie Zhu; Li Xu; Yuhan Wang; Shenglan Liu 001 (Neurocomputing, 2021)

Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition. - Lianyu Hu 004; Shenglan Liu 001; Wei Feng 005 (CoRR, 2022)