Collaborative sensing in internet of things: A comprehensive survey S He, K Shi, C Liu, B Guo, J Chen, Z Shi IEEE Communications Surveys & Tutorials 24 (3), 1435-1474, 2022 | 148 | 2022 |
Large language model guided knowledge distillation for time series anomaly detection C Liu, S He, Q Zhou, S Li, W Meng IJCAI'2024, 2024 | 17 | 2024 |
Short-term strong wind risk prediction for high-speed railway H Liu, C Liu, S He, J Chen IEEE Transactions on Intelligent Transportation Systems 22 (7), 4243-4255, 2021 | 17 | 2021 |
Intention-aware Denoising Diffusion Model for Trajectory Prediction C Liu, S He, H Liu, J Chen arXiv preprint arXiv:2403.09190, 2024 | 7 | 2024 |
Treemil: A Multi-Instance Learning Framework for Time Series Anomaly Detection with Inexact Supervision C Liu, S He, H Liu, S Li ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 5 | 2024 |
WindTrans: Transformer-Based Wind Speed Forecasting Method for High-Speed Railway C Liu, S He, H Liu, J Chen, H Dong IEEE Transactions on Intelligent Transportation Systems, 2024 | 5 | 2024 |
Towards Efficient Traffic Incident Detection via Explicit Edge-Level Incident Modeling C Liu, J Chen, H Liu, S Li, S He IEEE Internet of Things Journal, 2024 | 3 | 2024 |
A self-attention based method for wind speed forecasting in high-speed railway system C Liu, J Chen, H Liu, H Jiang, S He 2021 IEEE 1st International Conference on Digital Twins and Parallel …, 2021 | 3 | 2021 |
Secure Semantic Communication for Image Transmission in the Presence of Eavesdroppers S Tang, C Liu, Q Yang, S He, D Niyato arXiv preprint arXiv:2404.12170, 2024 | 2 | 2024 |
Feature Attention Distillation Defense for Backdoor Attack in Artificial Neural Network-Based Electricity Theft Detection S Li, W Meng, C Liu, S He IEEE Internet of Things Journal, 2024 | 1 | 2024 |
S4FD: Self-Supervision-Enhanced Semisupervised Fault Diagnosis for Complex Industrial Processes S Li, W Meng, C Liu, C Long, S He IEEE Transactions on Industrial Informatics, 2025 | | 2025 |
Time-Series Multi-Instance Learning for Weakly Supervised Industrial Fault Detection C Liu, S He, S Li, Z Shi, W Meng IEEE Transactions on Industrial Informatics, 2025 | | 2025 |
Detecting Both Seen and Unseen Anomalies in Time Series C Liu, S He, S Li, Z Shi, W Meng ACM Transactions on Knowledge Discovery from Data, 2025 | | 2025 |
A Decoder-Free Reconstruction Method for Semi-Supervised Surface Defect Detection C Liu, Z Shi, S He, S Tang, Q Yang IEEE Transactions on Industrial Cyber-Physical Systems, 2024 | | 2024 |