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Shuo Ji
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2020 – today
- 2024
- [j8]Yulin Qin, Jie Zheng, Hai Wang, Ling Gao, Yuhui Ma, Shuo Ji, Yi Liu, Jie Ren, Rui Cao, Yongxing Zheng:
Online Learning to parallel offloading in heterogeneous wireless networks. Comput. Commun. 218: 253-262 (2024) - [j7]Kun Liu, Yong Liu, Shuo Ji, Chi Gao, Jun Fu:
Estimation of Muscle Forces of Lower Limbs Based on CNN-LSTM Neural Network and Wearable Sensor System. Sensors 24(3): 1032 (2024) - [c7]Shuo Ji, Mingzhe Liu, Leilei Sun, Chuanren Liu, Tongyu Zhu:
MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph Learning. KDD 2024: 1257-1268 - 2023
- [j6]Kun Liu, Yong Liu, Shuo Ji, Chi Gao, Shizhong Zhang, Jun Fu:
A Novel Gait Phase Recognition Method Based on DPF-LSTM-CNN Using Wearable Inertial Sensors. Sensors 23(13): 5905 (2023) - [j5]Kun Liu, Shuo Ji, Yong Liu, Chi Gao, Shizhong Zhang, Jun Fu, Lei Dai:
Analysis of Ankle Muscle Dynamics during the STS Process Based on Wearable Sensors. Sensors 23(14): 6607 (2023) - [c6]Xiaodong Lu, Shuo Ji, Le Yu, Leilei Sun, Bowen Du, Tongyu Zhu:
Continuous-Time Graph Learning for Cascade Popularity Prediction. IJCAI 2023: 2224-2232 - [c5]Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong:
Community-based Dynamic Graph Learning for Popularity Prediction. KDD 2023: 930-940 - [i1]Xiaodong Lu, Shuo Ji, Le Yu, Leilei Sun, Bowen Du, Tongyu Zhu:
Continuous-Time Graph Learning for Cascade Popularity Prediction. CoRR abs/2306.03756 (2023) - 2022
- [j4]Shuo Ji, Yinliang Zhao, Yuxiang Li:
Performance prediction for distributed graph computing. Concurr. Comput. Pract. Exp. 34(12) (2022) - [c4]Xiao Lin, Huihuang Lin, Shuo Ji, Hui Qian, Jun Li, Shengnan Yue:
An Edge-Storage-Aided Scheduling Method for Edge-Computing-Enabled Optical Metro Networks. APCC 2022: 42-47 - [c3]Xiao Lin, Shuo Ji, Shengnan Yue, Jun Li, Feng Chen:
Storage-Enabled Adaptive Multi-Path Scheduling Method for Data Transfers in Task Offloading. HPSR 2022: 238-244 - [c2]Xiao Lin, Shuo Ji, Shengnan Yue, Jun Li, Weiqiang Sun, Weisheng Hu:
Adaptive Multi-Path SnF Scheduling Method for Delay-Sensitive Transfers Across Inter-Datacenter Optical Networks. ONDM 2022: 1-6
2010 – 2019
- 2019
- [j3]Shuo Ji, Yinliang Zhao, Xiaomei Zhao:
A low-latency computing framework for time-evolving graphs. J. Supercomput. 75(7): 3673-3692 (2019) - [c1]Shuo Ji, Yinliang Zhao, Qing Yi:
Accelerating parallel graph computing with speculation. CF 2019: 115-124 - 2018
- [j2]Shuo Ji, Yinliang Zhao:
A Local Approximation Approach for Processing Time-Evolving Graphs. Symmetry 10(7): 247 (2018) - 2015
- [j1]Yuxiang Li, Yinliang Zhao, Bin Liu, Shuo Ji:
Optimization of thread partitioning parameters in speculative multithreading based on artificial immune algorithm. Frontiers Inf. Technol. Electron. Eng. 16(3): 205-216 (2015)
Coauthor Index
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