Jun Liao

According to our database, Jun Liao authored at least 35 papers between 2019 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

CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding.

Huayi Yang, Chunyuan Zheng, Guorui Liao, Shanshan Huang, Jun Liao, Zhili Gong, Haoxuan Li, Li Liu

Proceedings of the ACM on Web Conference 2025, 2025

HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units.

Guorui Liao, Chunyuan Zheng, Li Cheng, Haoyu Xie, Shanshan Huang, Jun Liao, Haoxuan Li, Li Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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

Finding score-based representative samples for cancer risk prediction.

Jun Liao, Hao Luo, Xuewen Yan, Ting Ye, Shanshan Huang, Li Liu

Pattern Recognit., 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

Multi-attentional causal intervention networks for medical image diagnosis.

Shanshan Huang, Lei Wang, 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

Causal Discovery Evaluation Framework in the Absence of Ground-Truth Causal Graph.

Tingpeng Li, Lei Wang, Danhua Peng, Jun Liao, Li Liu, Zhendong Liu

IEEE Access, 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

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

Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer.

Jingyu Wu, Lefan Hou, Zejian Li, Jun Liao, Li Liu, Lingyun Sun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

CMGAN: A generative adversarial network embedded with causal matrix.

Wenbin Zhang, Jun Liao, Yi Zhang, Li Liu

Appl. Intell., 2022

FIGCI: Flow-Based Information-Geometric Causal Inference.

Shengyuan Zhang, Jingyu Wu, Zejian Li, Li Liu, Jun Liao, Lingyun Sun

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Recognizing diseases with multivariate physiological signals by a DeepCNN-LSTM network.

Jun Liao, Dandan Liu, Guoxin Su, Li Liu

Appl. Intell., 2021

Stacked LSTM-Based Dynamic Hand Gesture Recognition with Six-Axis Motion Sensors.

Yidi Zhang, Mengyuan Ran, Jun Liao, Guoxin Su, Ming Liu, Li Liu

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Recognizing Skeleton-Based Hand Gestures by a Spatio-Temporal Network.

Xin Li, Jun Liao, Li Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Oversampling by a Constraint-Based Causal Network in Medical Imbalanced Data Classification.

Hao Luo, Jun Liao, Xuewen Yan, Li Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Inertial Sensor-Based Upper Limb Rehabilitation Auxiliary Equipment and Upper Limb Functional Rehabilitation Evaluation.

Shanshan Wang, Jun Liao, Zirui Yong, Xiaohu Li, Li Liu

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2020

ST-Xception: A Depthwise Separable Convolution Network for Military Sign Language Recognition.

Yuhao Zhang, Jun Liao, Mengyuan Ran, Xin Li, Shanshan Wang, Li Liu

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

STGauntlet: Recognizing Hand Gestures over Multiple Hand-Worn Motion Sensors.

Mengyuan Ran, Shanshan Wang, Jun Liao, Yuhao Zhang, Li Liu

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Recognizing Chinese Sign Language Based on Deep Neural Network.

Xi Hu, Liming Tan, Jiayi Zhou, Shahid Ali, Zirui Yong, Jun Liao, Li Liu

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Recognizing Complex Activities by a Temporal Causal Network-Based Model.

Jun Liao, Junfeng Hu, Li Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Discovering biomedical causality by a generative Bayesian causal network under uncertainty.

Ting Ye, Jun Liao, Xuewen Yan, Hao Luo, Wenbing Zhang, Li Liu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

RCapsNet: A Recurrent Capsule Network for Text Classification.

Junfeng Hu, Jun Liao, Li Liu, Wenchao Ma

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Predicting Cancer Risks By A Constraint-Based Causal Network.

Xuewen Yan, Jun Liao, Hao Luo, Yi Zhang, Li Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network.

Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Modeling Data-Driven Liver Cancer Prediction with Medical Knowledge on Chinese Population.

Dandan Liu, Jun Liao, Li Liu

Proceedings of the 2019 IEEE SmartWorld, 2019

Individual Risk Prediction of Gastric Cancer Using Fully Connected Neural Network with Weighted Neighborhood Feature.

Jun Liao, Dandan Liu, Junfeng Hu, Yande Li, Aamir Khan, Li Liu, Qingyu Xiong, Junhao Wen

Proceedings of the 2019 IEEE SmartWorld, 2019

Multimodal Learning with Triplet Ranking Loss for Visual Semantic Embedding Learning.

Zhanbo Yang, Li Li, Jun He, Zixi Wei, Li Liu, Jun Liao

Proceedings of the Knowledge Science, Engineering and Management, 2019

Finger Gesture Recognition Based on 3D-Accelerometer and 3D-Gyroscope.

Wenchao Ma, Junfeng Hu, Jun Liao, Zhencheng Fan, Jianjun Wu, Li Liu

Proceedings of the Knowledge Science, Engineering and Management, 2019

Social-Aware and Sequential Embedding for Cold-Start Recommendation.

Kexin Huang, Yukun Cao, Ye Du, Li Li, Li Liu, Jun Liao

Proceedings of the Knowledge Science, Engineering and Management, 2019