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ORCIDJun Liao 0001
Person information
- unicode name: 廖军
- affiliation: Chongqing University, School of Big Data and Software Engineering, China
Other persons with the same name
- Jun Liao — disambiguation page
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2020 – today
- 2025
[c24]Guorui Liao, Chunyuan Zheng, Li Cheng, Haoyu Xie, Shanshan Huang, Jun Liao, Haoxuan Li, Li Liu:
HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units. AAAI 2025: 14309-14317- [c23]Huayi Yang, Chunyuan Zheng, Guorui Liao, Shanshan Huang, Jun Liao, Zhili Gong, Haoxuan Li, Li Liu:
CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding. WWW 2025: 5320-5329 - 2024
- [j9]Tingpeng Li, Lei Wang
, Danhua Peng, Jun Liao, Li Liu, Zhendong Liu:
Causal Discovery Evaluation Framework in the Absence of Ground-Truth Causal Graph. IEEE Access 12: 136502-136514 (2024) - [j8]Lei Wang, Shanshan Huang, Shu Wang, Jun Liao, Tingpeng Li, Li Liu:
A survey of causal discovery based on functional causal model. Eng. Appl. Artif. Intell. 133: 108258 (2024) - [j7]Shanshan Huang, Yuanhao Wang, Zhili Gong, Jun Liao, Shu Wang, Li Liu:
Controllable image generation based on causal representation learning. Frontiers Inf. Technol. Electron. Eng. 25(1): 135-148 (2024) - [j6]Shu Wang, Xiaohu Li, Guorui Liao, Jiawei Liu, Changbo Liao, Ming Liu, Jun Liao, Li Liu:
A spatio-temporal graph neural network for fall prediction with inertial sensors. Knowl. Based Syst. 293: 111709 (2024) - [j5]Shanshan Huang, Lei Wang, Jun Liao, Li Liu:
Multi-attentional causal intervention networks for medical image diagnosis. Knowl. Based Syst. 299: 111993 (2024) - [j4]Jun Liao, Hao Luo, Xuewen Yan, Ting Ye, Shanshan Huang, Li Liu:
Finding score-based representative samples for cancer risk prediction. Pattern Recognit. 156: 110767 (2024) - [c22]Xiaohu Li, Jiawei Liu, Guorui Liao, Mingrui Yin, Shu Wang, Guoxin Su, Jun Liao, Li Liu:
Predicting Fall Events by a Spatio-Temporal Topological Network with Multiple Wearable Sensors. ICASSP 2024: 8551-8555 - [c21]Laiming Jiang, Jiawei Liu, Shu Wang, Jun Liao, Qingsong Li, Zhengyang Li, Shen Chen, Li Liu:
Multi-channel Spatio-Temporal Causal Representation Model for Cognitive Load Assessment in Physiological Signals. ICME 2024: 1-6 - [c20]Zhengyang Li, Shanshan Huang, Jiawei Liu, Laiming Jiang, Shen Chen, Yi Zhang, Jun Liao, Shu Wang, Li Liu:
Recognizing Cognitive Load by a Multi-instance Causal Learning Model from Multi-channel Physiological Data. ICME 2024: 1-6 - 2023
- [c19]Jingyu Wu, Lefan Hou, Zejian Li, Jun Liao, Li Liu, Lingyun Sun:
Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer. AAAI 2023: 2830-2838 - 2022
- [j3]Wenbin Zhang, Jun Liao, Yi Zhang, Li Liu:
CMGAN: A generative adversarial network embedded with causal matrix. Appl. Intell. 52(14): 16233-16245 (2022) - [j2]Yande Li, Lulan Yu, Jun Liao, Guoxin Su, Ammarah Hashmi, Li Liu, Shu Wang:
A single smartwatch-based segmentation approach in human activity recognition. Pervasive Mob. Comput. 83: 101600 (2022) - [c18]Shengyuan Zhang, Jingyu Wu, Zejian Li, Li Liu, Jun Liao, Lingyun Sun:
FIGCI: Flow-Based Information-Geometric Causal Inference. CICAI (2) 2022: 520-531 - 2021
- [j1]Jun Liao, Dandan Liu, Guoxin Su, Li Liu:
Recognizing diseases with multivariate physiological signals by a DeepCNN-LSTM network. Appl. Intell. 51(11): 7933-7945 (2021) - [c17]Shanshan Wang, Jun Liao, Zirui Yong, Xiaohu Li, Li Liu:
Inertial Sensor-Based Upper Limb Rehabilitation Auxiliary Equipment and Upper Limb Functional Rehabilitation Evaluation. ChineseCSCW (1) 2021: 518-528 - [c16]Hao Luo, Jun Liao, Xuewen Yan, Li Liu:
Oversampling by a Constraint-Based Causal Network in Medical Imbalanced Data Classification. ICME 2021: 1-6 - [c15]Xin Li, Jun Liao, Li Liu:
Recognizing Skeleton-Based Hand Gestures by a Spatio-Temporal Network. ECML/PKDD (4) 2021: 151-167 - [c14]Yidi Zhang, Mengyuan Ran, Jun Liao, Guoxin Su, Ming Liu, Li Liu:
Stacked LSTM-Based Dynamic Hand Gesture Recognition with Six-Axis Motion Sensors. SMC 2021: 2568-2575 - 2020
- [c13]Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu:
Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network. ECAI 2020: 2720-2727 - [c12]Xuewen Yan, Jun Liao, Hao Luo, Yi Zhang, Li Liu:
Predicting Cancer Risks By A Constraint-Based Causal Network. ICME 2020: 1-6 - [c11]Junfeng Hu, Jun Liao, Li Liu, Wenchao Ma:
RCapsNet: A Recurrent Capsule Network for Text Classification. IJCNN 2020: 1-8 - [c10]Ting Ye, Jun Liao, Xuewen Yan, Hao Luo, Wenbing Zhang, Li Liu:
Discovering biomedical causality by a generative Bayesian causal network under uncertainty. IJCNN 2020: 1-8 - [c9]Jun Liao, Junfeng Hu, Li Liu:
Recognizing Complex Activities by a Temporal Causal Network-Based Model. ECML/PKDD (4) 2020: 341-357 - [c8]Yuhao Zhang, Jun Liao, Mengyuan Ran, Xin Li, Shanshan Wang, Li Liu:
ST-Xception: A Depthwise Separable Convolution Network for Military Sign Language Recognition. SMC 2020: 3200-3205 - [c7]Mengyuan Ran, Shanshan Wang, Jun Liao, Yuhao Zhang, Li Liu:
STGauntlet: Recognizing Hand Gestures over Multiple Hand-Worn Motion Sensors. SMC 2020: 3340-3345 - [c6]Xi Hu, Liming Tan, Jiayi Zhou, Shahid Ali, Zirui Yong, Jun Liao, Li Liu:
Recognizing Chinese Sign Language Based on Deep Neural Network. SMC 2020: 4127-4133
2010 – 2019
- 2019
- [c5]Kexin Huang, Yukun Cao, Ye Du, Li Li, Li Liu, Jun Liao:
Social-Aware and Sequential Embedding for Cold-Start Recommendation. KSEM (1) 2019: 60-71 - [c4]Wenchao Ma, Junfeng Hu, Jun Liao, Zhencheng Fan, Jianjun Wu, Li Liu:
Finger Gesture Recognition Based on 3D-Accelerometer and 3D-Gyroscope. KSEM (1) 2019: 406-413 - [c3]Zhanbo Yang, Li Li, Jun He, Zixi Wei, Li Liu, Jun Liao:
Multimodal Learning with Triplet Ranking Loss for Visual Semantic Embedding Learning. KSEM (1) 2019: 763-773 - [c2]Jun Liao, Dandan Liu, Junfeng Hu, Yande Li, Aamir Khan, Li Liu, Qingyu Xiong, Junhao Wen:
Individual Risk Prediction of Gastric Cancer Using Fully Connected Neural Network with Weighted Neighborhood Feature. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1219-1224 - [c1]Dandan Liu, Jun Liao, Li Liu:
Modeling Data-Driven Liver Cancer Prediction with Medical Knowledge on Chinese Population. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1225-1230 - [i1]Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu:
Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network. CoRR abs/1911.02404 (2019)
Coauthor Index
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