Jun Liao

41 papers A* 4A 5B 6Misc 1Journal 15Unranked 10
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
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
2025 A* conf
CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding.
WWW
Huayi Yang, Chunyuan Zheng, Guorui Liao, Shanshan Huang, Jun Liao, Zhili Gong, Haoxuan Li, Li Liu
2025 A* conf
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition.
AAAI
Haoyu Xie, Haoxuan Li, Chunyuan Zheng, Haonan Yuan, Guorui Liao, Jun Liao, Li Liu
2025 J jnl
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition.
CoRR
Haoyu Xie, Haoxuan Li, Chunyuan Zheng, Haonan Yuan, Guorui Liao, Jun Liao, Li Liu
2025 A* conf
HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units.
AAAI
Guorui Liao, Chunyuan Zheng, Li Cheng, Haoyu Xie, Shanshan Huang, Jun Liao, Haoxuan Li, Li Liu
2025 — conf
Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation.
KDD (2)
Lei Wang, Shanshan Huang, Chunyuan Zheng, Jun Liao, Xiaofei Zhu, Haoxuan Li, Li Liu
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
Causal Discovery Evaluation Framework in the Absence of Ground-Truth Causal Graph.
IEEE Access
Tingpeng Li, Lei Wang, Danhua Peng, Jun Liao, Li Liu, Zhendong 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 J jnl
Finding score-based representative samples for cancer risk prediction.
Pattern Recognit.
Jun Liao, Hao Luo, Xuewen Yan, Ting Ye, Shanshan Huang, Li Liu
2024 J jnl
Multi-attentional causal intervention networks for medical image diagnosis.
Knowl. Based Syst.
Shanshan Huang, Lei Wang, Jun Liao, 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
2023 A* conf
Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer.
AAAI
Jingyu Wu, Lefan Hou, Zejian Li, Jun Liao, Li Liu, Lingyun Sun
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
CMGAN: A generative adversarial network embedded with causal matrix.
Appl. Intell.
Wenbin Zhang, Jun Liao, Yi Zhang, Li Liu
2022 — conf
FIGCI: Flow-Based Information-Geometric Causal Inference.
CICAI (2)
Shengyuan Zhang, Jingyu Wu, Zejian Li, Li Liu, Jun Liao, Lingyun Sun
2021 — conf
Inertial Sensor-Based Upper Limb Rehabilitation Auxiliary Equipment and Upper Limb Functional Rehabilitation Evaluation.
ChineseCSCW (1)
Shanshan Wang, Jun Liao, Zirui Yong, Xiaohu Li, Li Liu
2021 A conf
Oversampling by a Constraint-Based Causal Network in Medical Imbalanced Data Classification.
ICME
Hao Luo, Jun Liao, Xuewen Yan, Li Liu
2021 — conf
Recognizing Skeleton-Based Hand Gestures by a Spatio-Temporal Network.
ECML/PKDD (4)
Xin Li, Jun Liao, Li Liu
2021 J jnl
Recognizing diseases with multivariate physiological signals by a DeepCNN-LSTM network.
Appl. Intell.
Jun Liao, Dandan Liu, Guoxin Su, Li Liu
2021 B conf
Stacked LSTM-Based Dynamic Hand Gesture Recognition with Six-Axis Motion Sensors.
SMC
Yidi Zhang, Mengyuan Ran, Jun Liao, Guoxin Su, Ming Liu, Li Liu
2020 B conf
Discovering biomedical causality by a generative Bayesian causal network under uncertainty.
IJCNN
Ting Ye, Jun Liao, Xuewen Yan, Hao Luo, Wenbing Zhang, Li Liu
2020 A conf
Predicting Cancer Risks By A Constraint-Based Causal Network.
ICME
Xuewen Yan, Jun Liao, Hao Luo, Yi Zhang, Li Liu
2020 A conf
Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network.
ECAI
Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu
2020 B conf
RCapsNet: A Recurrent Capsule Network for Text Classification.
IJCNN
Junfeng Hu, Jun Liao, Li Liu, Wenchao Ma
2020 B conf
Recognizing Chinese Sign Language Based on Deep Neural Network.
SMC
Xi Hu, Liming Tan, Jiayi Zhou, Shahid Ali, Zirui Yong, Jun Liao, Li Liu
2020 — conf
Recognizing Complex Activities by a Temporal Causal Network-Based Model.
ECML/PKDD (4)
Jun Liao, Junfeng Hu, Li Liu
2020 B conf
ST-Xception: A Depthwise Separable Convolution Network for Military Sign Language Recognition.
SMC
Yuhao Zhang, Jun Liao, Mengyuan Ran, Xin Li, Shanshan Wang, Li Liu
2020 B conf
STGauntlet: Recognizing Hand Gestures over Multiple Hand-Worn Motion Sensors.
SMC
Mengyuan Ran, Shanshan Wang, Jun Liao, Yuhao Zhang, Li Liu
2019 — conf
Finger Gesture Recognition Based on 3D-Accelerometer and 3D-Gyroscope.
KSEM (1)
Wenchao Ma, Junfeng Hu, Jun Liao, Zhencheng Fan, Jianjun Wu, Li Liu
2019 — conf
Individual Risk Prediction of Gastric Cancer Using Fully Connected Neural Network with Weighted Neighborhood Feature.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Jun Liao, Dandan Liu, Junfeng Hu, Yande Li, Aamir Khan, Li Liu, Qingyu Xiong, Junhao Wen
2019 — conf
Modeling Data-Driven Liver Cancer Prediction with Medical Knowledge on Chinese Population.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Dandan Liu, Jun Liao, Li Liu
2019 — conf
Multimodal Learning with Triplet Ranking Loss for Visual Semantic Embedding Learning.
KSEM (1)
Zhanbo Yang, Li Li, Jun He, Zixi Wei, Li Liu, Jun Liao
2019 J jnl
Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network.
CoRR
Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu
2019 — conf
Social-Aware and Sequential Embedding for Cold-Start Recommendation.
KSEM (1)
Kexin Huang, Yukun Cao, Ye Du, Li Li, Li Liu, Jun Liao