A New Comprehensive Database for Hand Gesture Recognition. - Lanyue Pi; Kai Liu 032; Yun Tie; Lin Qi 001 (ICGEC, 2018)

Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition. - Kai Liu 032; Lei Gao 001; Naimul Mefraz Khan; Lin Qi 001; Ling Guan (ISM, 2019)

A Vertex-Edge Graph Convolutional Network for Skeleton-Based Action Recognition. - Kai Liu 032; Lei Gao 001; Naimul Mefraz Khan; Lin Qi 001; Ling Guan (ISCAS, 2020)

A two-stream heterogeneous network for action recognition based on skeleton and RGB modalities. - Kai Liu 032; Lei Gao 001; Naimul Mefraz Khan; Lin Qi 001; Ling Guan (ISM, 2021)

Integrating vertex and edge features with Graph Convolutional Networks for skeleton-based action recognition. - Kai Liu 032; Lei Gao 001; Naimul Mefraz Khan; Lin Qi 001; Ling Guan (Neurocomputing, 2021)

A Multi-Stream Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition. - Kai Liu 032; Lei Gao 001; Naimul Mefraz Khan; Lin Qi 001; Ling Guan (IEEE Trans. Multim., 2021)

Towards Efficient Multi-view Representation Learning. - Kai Liu 032; Zheng Guo; Lei Gao 001; Naimul Mefraz Khan; Ling Guan (ISM, 2023)

Mathematics-Inspired Learning: A Green Learning Model with Interpretable Properties. - Ling Guan; Lei Gao 001; Kai Liu 032; Zheng Guo (MIPR, 2024)

A discriminative multi-modal adaptation neural network model for video action recognition. - Lei Gao 001; Kai Liu 032; Ling Guan (Neural Networks, 2025)

Mathematics-Inspired Models: A Green and Interpretable Learning Paradigm for Multimedia Computing. - Lei Gao 001; Kai Liu 032; Zheng Guo; Ling Guan (ACM Trans. Multim. Comput. Commun. Appl., 2025)