Shuo Ji

Orcid: 0000-0002-8753-5475

According to our database1, Shuo Ji authored at least 16 papers between 2015 and 2024.

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

Timeline

Legend:

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Links

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Bibliography

2024
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

Protection of User Sensitive Information Based on SIR Model.
Proceedings of the Twelfth International Conference on Advanced Cloud and Big Data, 2024

2023
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

2022
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

2019
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

2018
A Local Approximation Approach for Processing Time-Evolving Graphs.
Symmetry, 2018

2015
Optimization of thread partitioning parameters in speculative multithreading based on artificial immune algorithm.
Frontiers Inf. Technol. Electron. Eng., 2015


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