Complex activity recognition using time series pattern dictionary learned from ubiquitous sensors. - Li Liu 001; Yuxin Peng; Shu Wang 005; Ming Liu 007; Zi-Gang Huang (Inf. Sci., 2016)

Mining intricate temporal rules for recognizing complex activities of daily living under uncertainty. - Li Liu 001; Shu Wang 005; Yuxin Peng; Zi-Gang Huang; Ming Liu 007; Bin Hu 001 (Pattern Recognit., 2016)

Predicting Beijing's tertiary industry with an improved grey model. - Qianru Wang; Li Liu 001; Shu Wang 005; Jianzhou Wang; Ming Liu 007 (Appl. Soft Comput., 2017)

An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition. - Li Liu 001; Yongzhong Yang; Lakshmi Narasimhan Govindarajan; Shu Wang 005; Bin Hu 001; Li Cheng 001; David S. Rosenblum (CoRR, 2017)

A framework of mining semantic-based probabilistic event relations for complex activity recognition. - Li Liu 001; Shu Wang 005; Guoxin Su; Bin Hu 001; Yuxin Peng; Qingyu Xiong; Junhao Wen 001 (Inf. Sci., 2017)

Towards complex activity recognition using a Bayesian network-based probabilistic generative framework. - Li Liu 001; Shu Wang 005; Guoxin Su; Zi-Gang Huang; Ming Liu 007 (Pattern Recognit., 2017)

Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition. - Li Liu 001; Shu Wang 005; Bin Hu 001; Qingyu Xiong; Junhao Wen 001; David S. Rosenblum (Pattern Recognit., 2018)

Wavelet packet analysis for speaker-independent emotion recognition. - Kunxia Wang; Guoxin Su; Li Liu 001; Shu Wang 005 (Neurocomputing, 2020)

A Survey of Computer Vision-Based Fall Detection and Technology Perspectives. - Manling Yang; Xiaohu Li; Jiawei Liu; Shu Wang 005; Li Liu 001 (ChineseCSCW (2), 2022)

Hand gesture recognition framework using a lie group based spatio-temporal recurrent network with multiple hand-worn motion sensors. - Shu Wang 005; Aiguo Wang; Mengyuan Ran; Li Liu 001; Yuxin Peng; Ming Liu 007; Guoxin Su; Adi Alhudhaif; Fayadh Alenezi; Norah Alnaim (Inf. Sci., 2022)

A single smartwatch-based segmentation approach in human activity recognition. - Yande Li; Lulan Yu; Jun Liao 001; Guoxin Su; Ammarah Hashmi; Li Liu 001; Shu Wang 005 (Pervasive Mob. Comput., 2022)

MCTN: A Multi-Channel Temporal Network for Wearable Fall Prediction. - Jiawei Liu; Xiaohu Li; Guorui Liao; Shu Wang 005; Li Liu 001 (ECML/PKDD (6), 2023)

Counterfactual-based minority oversampling for imbalanced classification. - Shu Wang 005; Hao Luo; Shanshan Huang 004; Qingsong Li; Li Liu 001; Guoxin Su; Ming Liu 007 (Eng. Appl. Artif. Intell., 2023)

A review of wearable sensors based fall-related recognition systems. - Jiawei Liu; Xiaohu Li; Shanshan Huang 004; Rui Chao; Zhidong Cao; Shu Wang 005; Aiguo Wang; Li Liu 001 (Eng. Appl. Artif. Intell., 2023)

The Efficient-CapsNet model for facial expression recognition. - Kunxia Wang; Ruixiang He; Shu Wang 005; Li Liu 001; Takashi Yamauchi (Appl. Intell., 2023)

Predicting Fall Events by a Spatio-Temporal Topological Network with Multiple Wearable Sensors. - Xiaohu Li; Jiawei Liu; Guorui Liao; Mingrui Yin; Shu Wang 005; Guoxin Su; Jun Liao 001; Li Liu 001 (ICASSP, 2024)

Fall Prediction by a Spatio-Temporal Multi-Channel Causal Model from Wearable Sensors Data. - Guorui Liao; Jiawei Liu; Yuxuan Liang; Shu Wang 005; Li Liu 001 (ICASSP, 2024)

Multi-channel Spatio-Temporal Causal Representation Model for Cognitive Load Assessment in Physiological Signals. - Laiming Jiang; Jiawei Liu; Shu Wang 005; Jun Liao 001; Qingsong Li; Zhengyang Li; Shen Chen; Li Liu 001 (ICME, 2024)

Recognizing Cognitive Load by a Multi-instance Causal Learning Model from Multi-channel Physiological Data. - Zhengyang Li; Shanshan Huang 004; Jiawei Liu; Laiming Jiang; Shen Chen; Yi Zhang; Jun Liao 001; Shu Wang 005; Li Liu 001 (ICME, 2024)

A survey of causal discovery based on functional causal model. - Lei Wang 197; Shanshan Huang 004; Shu Wang 005; Jun Liao 001; Tingpeng Li; Li Liu 001 (Eng. Appl. Artif. Intell., 2024)

A spatio-temporal graph neural network for fall prediction with inertial sensors. - Shu Wang 005; Xiaohu Li; Guorui Liao; Jiawei Liu; Changbo Liao; Ming Liu 007; Jun Liao 001; Li Liu 001 (Knowl. Based Syst., 2024)

Recognizing wearable upper-limb rehabilitation gestures by a hybrid multi-feature neural network. - Shu Wang 005; Jiawei Liu; Shen Chen; Shanshan Wang; Yuxin Peng; Changbo Liao; Li Liu 001 (Eng. Appl. Artif. Intell., 2024)

Controllable image generation based on causal representation learning. - Shanshan Huang 004; Yuanhao Wang 008; Zhili Gong; Jun Liao 001; Shu Wang 005; Li Liu 001 (Frontiers Inf. Technol. Electron. Eng., 2024)

Controllable image synthesis methods, applications and challenges: a comprehensive survey. - Shanshan Huang 004; Qingsong Li; Jun Liao 001; Shu Wang 005; Li Liu 001; Lian Li 003 (Artif. Intell. Rev., 2024)

A real-time system for fall prediction and protection with spatio-temporal graph neural network using multiple motion sensors. - Li Liu 001; Haoyu Xie; Xiaohu Li; Guorui Liao; Shu Wang 005; Changbo Liao; Shengfa Miao; Haimiao Wu; Li He; Jun Liao 001; Qing Tao (Expert Syst. Appl., 2025)