Shu Wang

29 papers A 2Misc 2Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CausalFall: Fall prediction wearing motion sensors from a causal perspective.
Expert Syst. Appl.
Guorui Liao, Haoyu Xie, Jiameng Li, Jun Liao, Shu Wang, Xiurong Liang, Li Liu
2026 J jnl
Identifying non-small cell lung cancer subtypes by a hybrid representative causal network with computed tomography images.
Eng. Appl. Artif. Intell.
Li Liu, Xueying Wang, Shanshan Huang, Zhengqiao Deng, Shu Wang, Guang Wu, Donglai Yang, Sixi Zha, Guoxin Su, Qing Tao
2026 J jnl
Measuring cognitive load by a score-based causal network model with multichannel physiological signals.
Neurocomputing
Li Liu, Qiwen Pang, Shanshan Huang, Laiming Jiang, Shu Wang, Guang Wu, Guoxin Su, Qing Tao
2026 J jnl
Predicting prostate cancer risks by a deep causal learning network from magnetic resonance imaging images.
Inf. Sci.
Li Liu, Shanshan Huang, Jiaxin Wu, Shu Wang, Shuang Qian, Lei Wang, Fayadh Alenezi, Xianping Zhang, Jun Liao, Kemal Polat, Qing Tao
2025 J jnl
A real-time system for fall prediction and protection with spatio-temporal graph neural network using multiple motion sensors.
Expert Syst. Appl.
Li Liu, Haoyu Xie, Xiaohu Li, Guorui Liao, Shu Wang, Changbo Liao, Shengfa Miao, Haimiao Wu, Li He, Jun Liao, Qing Tao
2024 J jnl
A spatio-temporal graph neural network for fall prediction with inertial sensors.
Knowl. Based Syst.
Shu Wang, Xiaohu Li, Guorui Liao, Jiawei Liu, Changbo Liao, Ming Liu, Jun Liao, Li Liu
2024 J jnl
A survey of causal discovery based on functional causal model.
Eng. Appl. Artif. Intell.
Lei Wang, Shanshan Huang, Shu Wang, Jun Liao, Tingpeng Li, Li Liu
2024 J jnl
Controllable image generation based on causal representation learning.
Frontiers Inf. Technol. Electron. Eng.
Shanshan Huang, Yuanhao Wang, Zhili Gong, Jun Liao, Shu Wang, Li Liu
2024 J jnl
Controllable image synthesis methods, applications and challenges: a comprehensive survey.
Artif. Intell. Rev.
Shanshan Huang, Qingsong Li, Jun Liao, Shu Wang, Li Liu, Lian Li
2024 Misc conf
Fall Prediction by a Spatio-Temporal Multi-Channel Causal Model from Wearable Sensors Data.
ICASSP
Guorui Liao, Jiawei Liu, Yuxuan Liang, Shu Wang, Li Liu
2024 A conf
Multi-channel Spatio-Temporal Causal Representation Model for Cognitive Load Assessment in Physiological Signals.
ICME
Laiming Jiang, Jiawei Liu, Shu Wang, Jun Liao, Qingsong Li, Zhengyang Li, Shen Chen, Li Liu
2024 Misc conf
Predicting Fall Events by a Spatio-Temporal Topological Network with Multiple Wearable Sensors.
ICASSP
Xiaohu Li, Jiawei Liu, Guorui Liao, Mingrui Yin, Shu Wang, Guoxin Su, Jun Liao, Li Liu
2024 A conf
Recognizing Cognitive Load by a Multi-instance Causal Learning Model from Multi-channel Physiological Data.
ICME
Zhengyang Li, Shanshan Huang, Jiawei Liu, Laiming Jiang, Shen Chen, Yi Zhang, Jun Liao, Shu Wang, Li Liu
2024 J jnl
Recognizing wearable upper-limb rehabilitation gestures by a hybrid multi-feature neural network.
Eng. Appl. Artif. Intell.
Shu Wang, Jiawei Liu, Shen Chen, Shanshan Wang, Yuxin Peng, Changbo Liao, Li Liu
2023 J jnl
A review of wearable sensors based fall-related recognition systems.
Eng. Appl. Artif. Intell.
Jiawei Liu, Xiaohu Li, Shanshan Huang, Rui Chao, Zhidong Cao, Shu Wang, Aiguo Wang, Li Liu
2023 J jnl
Counterfactual-based minority oversampling for imbalanced classification.
Eng. Appl. Artif. Intell.
Shu Wang, Hao Luo, Shanshan Huang, Qingsong Li, Li Liu, Guoxin Su, Ming Liu
2023 — conf
MCTN: A Multi-Channel Temporal Network for Wearable Fall Prediction.
ECML/PKDD (6)
Jiawei Liu, Xiaohu Li, Guorui Liao, Shu Wang, Li Liu
2023 J jnl
The Efficient-CapsNet model for facial expression recognition.
Appl. Intell.
Kunxia Wang, Ruixiang He, Shu Wang, Li Liu, Takashi Yamauchi
2022 — conf
A Survey of Computer Vision-Based Fall Detection and Technology Perspectives.
ChineseCSCW (2)
Manling Yang, Xiaohu Li, Jiawei Liu, Shu Wang, Li Liu
2022 J jnl
A single smartwatch-based segmentation approach in human activity recognition.
Pervasive Mob. Comput.
Yande Li, Lulan Yu, Jun Liao, Guoxin Su, Ammarah Hashmi, Li Liu, Shu Wang
2022 J jnl
Hand gesture recognition framework using a lie group based spatio-temporal recurrent network with multiple hand-worn motion sensors.
Inf. Sci.
Shu Wang, Aiguo Wang, Mengyuan Ran, Li Liu, Yuxin Peng, Ming Liu, Guoxin Su, Adi Alhudhaif, Fayadh Alenezi, Norah Alnaim
2020 J jnl
Wavelet packet analysis for speaker-independent emotion recognition.
Neurocomputing
Kunxia Wang, Guoxin Su, Li Liu, Shu Wang
2018 J jnl
Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition.
Pattern Recognit.
Li Liu, Shu Wang, Bin Hu, Qingyu Xiong, Junhao Wen, David S. Rosenblum
2017 J jnl
A framework of mining semantic-based probabilistic event relations for complex activity recognition.
Inf. Sci.
Li Liu, Shu Wang, Guoxin Su, Bin Hu, Yuxin Peng, Qingyu Xiong, Junhao Wen
2017 J jnl
An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition.
CoRR
Li Liu, Yongzhong Yang, Lakshmi Narasimhan Govindarajan, Shu Wang, Bin Hu, Li Cheng, David S. Rosenblum
2017 J jnl
Predicting Beijing's tertiary industry with an improved grey model.
Appl. Soft Comput.
Qianru Wang, Li Liu, Shu Wang, Jianzhou Wang, Ming Liu
2017 J jnl
Towards complex activity recognition using a Bayesian network-based probabilistic generative framework.
Pattern Recognit.
Li Liu, Shu Wang, Guoxin Su, Zi-Gang Huang, Ming Liu
2016 J jnl
Complex activity recognition using time series pattern dictionary learned from ubiquitous sensors.
Inf. Sci.
Li Liu, Yuxin Peng, Shu Wang, Ming Liu, Zi-Gang Huang
2016 J jnl
Mining intricate temporal rules for recognizing complex activities of daily living under uncertainty.
Pattern Recognit.
Li Liu, Shu Wang, Yuxin Peng, Zi-Gang Huang, Ming Liu, Bin Hu