Guorui Liao

Orcid: 0009-0000-3378-9691

According to our database1, Guorui Liao authored at least 12 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A real-time system for fall prediction and protection with spatio-temporal graph neural network using multiple motion sensors.
Expert Syst. Appl., 2025

CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding.
Proceedings of the ACM on Web Conference 2025, 2025

A Framework for Designing Provably Secure Steganography.
Proceedings of the 34th USENIX Security Symposium, 2025

Shimmer: a Provably Secure Steganography Based on Entropy Collecting Mechanism.
Proceedings of the 34th USENIX Security Symposium, 2025

Visual Representation Learning through Causal Intervention for Controllable Image Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
A spatio-temporal graph neural network for fall prediction with inertial sensors.
Knowl. Based Syst., 2024

Co-Stega: Collaborative Linguistic Steganography for the Low Capacity Challenge in Social Media.
Proceedings of the ACM Workshop on Information Hiding and Multimedia Security, 2024

Fall Prediction by a Spatio-Temporal Multi-Channel Causal Model from Wearable Sensors Data.
Proceedings of the IEEE International Conference on Acoustics, 2024

Predicting Fall Events by a Spatio-Temporal Topological Network with Multiple Wearable Sensors.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
MCTN: A Multi-Channel Temporal Network for Wearable Fall Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023


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