Shuo Ji

According to our database, Shuo Ji authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Estimation of Muscle Forces of Lower Limbs Based on CNN-LSTM Neural Network and Wearable Sensor System.

Kun Liu, Yong Liu, Shuo Ji, Chi Gao, Jun Fu

Sensors, February, 2024

2023

A Novel Gait Phase Recognition Method Based on DPF-LSTM-CNN Using Wearable Inertial Sensors.

Kun Liu, Yong Liu, Shuo Ji, Chi Gao, Shizhong Zhang, Jun Fu

Sensors, July, 2023

Analysis of Ankle Muscle Dynamics during the STS Process Based on Wearable Sensors.

Kun Liu, Shuo Ji, Yong Liu, Chi Gao, Shizhong Zhang, Jun Fu, Lei Dai

Sensors, July, 2023

Community-based Dynamic Graph Learning for Popularity Prediction.

Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Continuous-Time Graph Learning for Cascade Popularity Prediction.

Xiaodong Lu, Shuo Ji, Le Yu, Leilei Sun, Bowen Du, Tongyu Zhu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Performance prediction for distributed graph computing.

Shuo Ji, Yinliang Zhao, Yuxiang Li

Concurr. Comput. Pract. Exp., 2022

Adaptive Multi-Path SnF Scheduling Method for Delay-Sensitive Transfers Across Inter-Datacenter Optical Networks.

Xiao Lin, Shuo Ji, Shengnan Yue, Jun Li, Weiqiang Sun, Weisheng Hu

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.

Xiao Lin, Shuo Ji, Shengnan Yue, Jun Li, Feng Chen

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.

Xiao Lin, Huihuang Lin, Shuo Ji, Hui Qian, Jun Li, Shengnan Yue

Proceedings of the 27th Asia Pacific Conference on Communications, 2022

2019

A low-latency computing framework for time-evolving graphs.

Shuo Ji, Yinliang Zhao, Xiaomei Zhao

J. Supercomput., 2019

Accelerating parallel graph computing with speculation.

Shuo Ji, Yinliang Zhao, Qing Yi

Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2018

A Local Approximation Approach for Processing Time-Evolving Graphs.

Shuo Ji, Yinliang Zhao

Symmetry, 2018

2015

Optimization of thread partitioning parameters in speculative multithreading based on artificial immune algorithm.

Yuxiang Li, Yinliang Zhao, Bin Liu, Shuo Ji

Frontiers Inf. Technol. Electron. Eng., 2015