Shu Wang

According to our database, Shu Wang authored at least 25 papers between 2016 and 2025.

Collaborative distances:

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

2025

A real-time system for fall prediction and protection with spatio-temporal graph neural network using multiple motion sensors.

Li Liu, Haoyu Xie, Xiaohu Li, Guorui Liao, Shu Wang, Changbo Liao, Shengfa Miao, Haimiao Wu, Li He, Jun Liao, Qing Tao

Expert Syst. Appl., 2025

2024

Controllable image synthesis methods, applications and challenges: a comprehensive survey.

Shanshan Huang, Qingsong Li, Jun Liao, Shu Wang, Li Liu, Lian Li

Artif. Intell. Rev., November, 2024

Controllable image generation based on causal representation learning.

Shanshan Huang, Yuanhao Wang, Zhili Gong, Jun Liao, Shu Wang, Li Liu

Frontiers Inf. Technol. Electron. Eng., January, 2024

Recognizing wearable upper-limb rehabilitation gestures by a hybrid multi-feature neural network.

Shu Wang, Jiawei Liu, Shen Chen, Shanshan Wang, Yuxin Peng, Changbo Liao, Li Liu

Eng. Appl. Artif. Intell., January, 2024

A spatio-temporal graph neural network for fall prediction with inertial sensors.

Shu Wang, Xiaohu Li, Guorui Liao, Jiawei Liu, Changbo Liao, Ming Liu, Jun Liao, Li Liu

Knowl. Based Syst., 2024

A survey of causal discovery based on functional causal model.

Lei Wang, Shanshan Huang, Shu Wang, Jun Liao, Tingpeng Li, Li Liu

Eng. Appl. Artif. Intell., 2024

Recognizing Cognitive Load by a Multi-instance Causal Learning Model from Multi-channel Physiological Data.

Zhengyang Li, Shanshan Huang, Jiawei Liu, Laiming Jiang, Shen Chen, Yi Zhang, Jun Liao, Shu Wang, Li Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Multi-channel Spatio-Temporal Causal Representation Model for Cognitive Load Assessment in Physiological Signals.

Laiming Jiang, Jiawei Liu, Shu Wang, Jun Liao, Qingsong Li, Zhengyang Li, Shen Chen, Li Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Fall Prediction by a Spatio-Temporal Multi-Channel Causal Model from Wearable Sensors Data.

Guorui Liao, Jiawei Liu, Yuxuan Liang, Shu Wang, Li Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

Predicting Fall Events by a Spatio-Temporal Topological Network with Multiple Wearable Sensors.

Xiaohu Li, Jiawei Liu, Guorui Liao, Mingrui Yin, Shu Wang, Guoxin Su, Jun Liao, Li Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

The Efficient-CapsNet model for facial expression recognition.

Kunxia Wang, Ruixiang He, Shu Wang, Li Liu, Takashi Yamauchi

Appl. Intell., July, 2023

A review of wearable sensors based fall-related recognition systems.

Jiawei Liu, Xiaohu Li, Shanshan Huang, Rui Chao, Zhidong Cao, Shu Wang, Aiguo Wang, Li Liu

Eng. Appl. Artif. Intell., May, 2023

Counterfactual-based minority oversampling for imbalanced classification.

Shu Wang, Hao Luo, Shanshan Huang, Qingsong Li, Li Liu, Guoxin Su, Ming Liu

Eng. Appl. Artif. Intell., 2023

MCTN: A Multi-Channel Temporal Network for Wearable Fall Prediction.

Jiawei Liu, Xiaohu Li, Guorui Liao, Shu Wang, Li Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

2022

A single smartwatch-based segmentation approach in human activity recognition.

Yande Li, Lulan Yu, Jun Liao, Guoxin Su, Ammarah Hashmi, Li Liu, Shu Wang

Pervasive Mob. Comput., 2022

Hand gesture recognition framework using a lie group based spatio-temporal recurrent network with multiple hand-worn motion sensors.

Shu Wang, Aiguo Wang, Mengyuan Ran, Li Liu, Yuxin Peng, Ming Liu, Guoxin Su, Adi Alhudhaif, Fayadh Alenezi, Norah Alnaim

Inf. Sci., 2022

A Survey of Computer Vision-Based Fall Detection and Technology Perspectives.

Manling Yang, Xiaohu Li, Jiawei Liu, Shu Wang, Li Liu

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2020

Wavelet packet analysis for speaker-independent emotion recognition.

Kunxia Wang, Guoxin Su, Li Liu, Shu Wang

Neurocomputing, 2020

2018

Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition.

Li Liu, Shu Wang, Bin Hu, Qingyu Xiong, Junhao Wen, David S. Rosenblum

Pattern Recognit., 2018

2017

Towards complex activity recognition using a Bayesian network-based probabilistic generative framework.

Li Liu, Shu Wang, Guoxin Su, Zi-Gang Huang, Ming Liu

Pattern Recognit., 2017

A framework of mining semantic-based probabilistic event relations for complex activity recognition.

Li Liu, Shu Wang, Guoxin Su, Bin Hu, Yuxin Peng, Qingyu Xiong, Junhao Wen

Inf. Sci., 2017

An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition.

Li Liu, Yongzhong Yang, Lakshmi Narasimhan Govindarajan, Shu Wang, Bin Hu, Li Cheng, David S. Rosenblum

CoRR, 2017

Predicting Beijing's tertiary industry with an improved grey model.

Qianru Wang, Li Liu, Shu Wang, Jianzhou Wang, Ming Liu

Appl. Soft Comput., 2017

2016

Mining intricate temporal rules for recognizing complex activities of daily living under uncertainty.

Li Liu, Shu Wang, Yuxin Peng, Zi-Gang Huang, Ming Liu, Bin Hu

Pattern Recognit., 2016

Complex activity recognition using time series pattern dictionary learned from ubiquitous sensors.

Li Liu, Yuxin Peng, Shu Wang, Ming Liu, Zi-Gang Huang

Inf. Sci., 2016