Xianglong Li

Orcid: 0000-0002-2092-3430

According to our database1, Xianglong Li authored at least 15 papers between 2017 and 2024.

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Bibliography

2024
Configuration Design and Analysis of Reconfigurable Supernumerary Robotic Legs for Multitask Adaptation: SuperLegs.
Adv. Intell. Syst., March, 2024

Impact of Cooperative Innovation on the Technological Innovation Performance of High-Tech Firms: A Dual Moderating Effect Model of Big Data Capabilities and Policy Support.
Big Data, 2024

2023
A comprehensive repair scheme for distributed storage systems.
Comput. Networks, November, 2023

Temporal Task Graph Based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Geometric Error Modeling of 6-RSS Parallel Robot for Cervical Spine Grinding.
Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 2023

Tabby: Automated Gadget Chain Detection for Java Deserialization Vulnerabilities.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

Dynamic Agent Allocation with Reinforcement Learning for Applying Behavior Trees in Games.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022
RTSRAs: A Series-Parallel-Reconfigurable Tendon-Driven Supernumerary Robotic Arms.
IEEE Robotics Autom. Lett., 2022

Cooperative planning of multi-agent systems based on task-oriented knowledge fusion with graph neural networks.
Frontiers Inf. Technol. Electron. Eng., 2022

The Transfer Strategy of Digital Information Technology for Heterogeneous Manufacturers.
J. Organ. End User Comput., 2022

2021
An Efficient, Platform-Independent Map Rendering Framework for Mobile Augmented Reality.
ISPRS Int. J. Geo Inf., 2021

Design of Collaborative Control Scheme between On-chain and Off-chain Power Data.
Proceedings of the 4th International Conference on Information Systems and Computer Aided Education, 2021

2020
RSnet: An improvement for Darknet.
CoRR, 2020

Glue: Enhancing Compatibility and Flexibility of Reinforcement Learning Platforms by Decoupling Algorithms and Environments.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2017
An analytical study of blasting vibration using deep mining and drivage rules.
Clust. Comput., 2017


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