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Shuo Ji
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Shuo Ji 0001
— National University of Singapore, Singapore (and 1 more)
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2020 – today
- 2026
[j13]Zhouqiao He, Zijie Zhao, Jie Hu
, Ji Zhang
, Shuo Ji, Qikai Chu, Weichao Liang, Ding Chen, Tianrui Li
:
Securing digital assets in intelligent railways: A survey of watermarking techniques, challenges, and prospects. Inf. Fusion 133: 104311 (2026)
[i2]Yibo Li, Zijie Lin, Ailin Deng, Xuan Zhang, Yufei He, Shuo Ji, Tri Cao, Bryan Hooi:
Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates. CoRR abs/2601.18510 (2026)
[i1]Xianglin Yang, Yufei He, Shuo Ji, Bryan Hooi, Jin Song Dong:
Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections. CoRR abs/2602.15654 (2026)- 2025
[j12]Xiaoyu Wen, Wenting Wang, Hao Li
, Shuo Ji, Wei Jiang, Like Zhang, Wenchao Yang:
An improved multi-objective harmony search algorithm based on reinforcement learning for solving automated assembly line balancing and energy consumption optimization problems. Comput. Ind. Eng. 210: 111509 (2025)
[j11]Weizhe Zeng, Jie Zheng
, Ling Gao
, Jinping Niu
, Jie Ren
, Hai Wang, Rui Cao
, Shuo Ji:
Generative AI-Aided Multimodal Parallel Offloading for AIGC Metaverse Service in IoT Networks. IEEE Internet Things J. 12(10): 13273-13285 (2025)
[j10]Xiaoyu Wen, Xinyu Zhang
, Hao Li, Shuo Ji, Haoqi Wang, Guoyong Ye, Hongwen Xing, Siren Liu:
An improved NSGA-II algorithm based on reinforcement learning for aircraft moving assembly line integration optimization problem. Swarm Evol. Comput. 94: 101911 (2025)
[c6]Hang Li, Hai Wang, Rui Cao, Shuo Ji, Jie Zheng:
Multi-Scale Conditional Generative Adversarial Networks for Wind Speed Data Imputation in Earthen Ruins Protection. ICASSP 2025: 1-5- 2024
[j9]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)
[j8]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)
[c5]Hai Wang, Shuo Ji, Mingyuan Hao, Guodong Xu:
Protection of User Sensitive Information Based on SIR Model. CBD 2024: 196-203- 2023
[j7]Hai Wang, Xuan Hao, Shuo Ji, Jie Zheng, Yuhui Ma, Jianfeng Yang:
An OP-TEE Energy-Efficient Task Scheduling Approach Based on Mobile Application Characteristics. Intell. Autom. Soft Comput. 37(2): 1621-1635 (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)- 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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last updated on 2026-05-08 22:51 CEST by the dblp team
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