Estimation of Muscle Forces of Lower Limbs Based on CNN-LSTM Neural Network and Wearable Sensor System.
Sensors, February, 2024
Online Learning to parallel offloading in heterogeneous wireless networks.
Comput. Commun., 2024
MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
A Novel Gait Phase Recognition Method Based on DPF-LSTM-CNN Using Wearable Inertial Sensors.
Sensors, July, 2023
Analysis of Ankle Muscle Dynamics during the STS Process Based on Wearable Sensors.
Sensors, July, 2023
Community-based Dynamic Graph Learning for Popularity Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Continuous-Time Graph Learning for Cascade Popularity Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Performance prediction for distributed graph computing.
Concurr. Comput. Pract. Exp., 2022
Adaptive Multi-Path SnF Scheduling Method for Delay-Sensitive Transfers Across Inter-Datacenter Optical Networks.
Proceedings of the International Conference on Optical Network Design and Modeling, 2022
Storage-Enabled Adaptive Multi-Path Scheduling Method for Data Transfers in Task Offloading.
Proceedings of the 23rd IEEE International Conference on High Performance Switching and Routing, 2022
An Edge-Storage-Aided Scheduling Method for Edge-Computing-Enabled Optical Metro Networks.
Proceedings of the 27th Asia Pacific Conference on Communications, 2022
A low-latency computing framework for time-evolving graphs.
J. Supercomput., 2019
Accelerating parallel graph computing with speculation.
Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019
A Local Approximation Approach for Processing Time-Evolving Graphs.
Symmetry, 2018
Optimization of thread partitioning parameters in speculative multithreading based on artificial immune algorithm.
Frontiers Inf. Technol. Electron. Eng., 2015