Wei Li

Orcid: 0000-0001-9786-585X

Affiliations:
  • Fudan University, Academy for Engineering and Technology, Shanghai, China
  • University of York, Department of Electronic Engineering, York, UK
  • University of Sheffield, Centre for Robotics, Sheffield, UK (PhD 2016)


According to our database1, Wei Li authored at least 41 papers between 2013 and 2024.

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Bibliography

2024
Hitting Times of Random Walks on Edge Corona Product Graphs.
Comput. J., February, 2024

2023
Optimization on the smallest eigenvalue of grounded Laplacian matrix via edge addition.
Theor. Comput. Sci., November, 2023

Modeling spatial networks by contact graphs of disk packings.
Theor. Comput. Sci., September, 2023

A self-learning Monte Carlo tree search algorithm for robot path planning.
Frontiers Neurorobotics, June, 2023

Morpho Evolution With Learning Using a Controller Archive as an Inheritance Mechanism.
IEEE Trans. Cogn. Dev. Syst., 2023

Robot Navigation With Reinforcement Learned Path Generation and Fine-Tuned Motion Control.
IEEE Robotics Autom. Lett., 2023

Resistance Distances in Directed Graphs: Definitions, Properties, and Applications.
CoRR, 2023

A Sublinear Time Algorithm for Opinion Optimization in Directed Social Networks via Edge Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning-Based Neural Ant Colony Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022
Learning From Visual Demonstrations via Replayed Task-Contrastive Model-Agnostic Meta-Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Learning With Dual Demonstration Domains: Random Domain-Adaptive Meta-Learning.
IEEE Robotics Autom. Lett., 2022

Learning From Demonstrations Via Multi-Level and Multi-Attention Domain-Adaptive Meta-Learning.
IEEE Robotics Autom. Lett., 2022

Few-Shot Instance Grasping of Novel Objects in Clutter.
IEEE Robotics Autom. Lett., 2022

Imitation Learning-Based Drone Motion Planning in Dense Obstacle Scenarios.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Efficient Universal Shuffle Attack for Visual Object Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2022

Dynamics-aware novelty search with behavior repulsion.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021
Collective intelligence evolution using ant colony optimization and neural networks.
Neural Comput. Appl., 2021

Measurement Method of Human Lower Limb Joint Range of Motion Through Human-Machine Interaction Based on Machine Vision.
Frontiers Neurorobotics, 2021

Maximizing the Smallest Eigenvalue of Grounded Laplacian Matrix.
CoRR, 2021

Alzheimer's disease detection using depthwise separable convolutional neural networks.
Comput. Methods Programs Biomed., 2021

2020
Bootstrapping Artificial Evolution to Design Robots for Autonomous Fabrication.
Robotics, 2020

Two-Stage Model-Agnostic Meta-Learning With Noise Mechanism for One-Shot Imitation.
IEEE Access, 2020

Hardware Design for Autonomous Robot Evolution.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Evolution of Diverse, Manufacturable Robot Body Plans.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation.
Proceedings of the 2020 Conference on Artificial Life, 2020

Turing learning with hybrid discriminators: combining the best of active and passive learning.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
RoboChart: modelling and verification of the functional behaviour of robotic applications.
Softw. Syst. Model., 2019

Verified simulation for robotics.
Sci. Comput. Program., 2019

The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World.
Proceedings of the 2019 Conference on Artificial Life, 2019

Comparing encodings for performance and phenotypic exploration in evolving modular robots.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Modelling and Verification for Swarm Robotics.
Proceedings of the Integrated Formal Methods - 14th International Conference, 2018

2017
Generalizing GANs: A Turing Perspective.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Automatic property checking of robotic applications.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Modelling and Verification of Timed Robotic Controllers.
Proceedings of the Integrated Formal Methods - 13th International Conference, 2017

2016
Turing learning: a metric-free approach to inferring behavior and its application to swarms.
Swarm Intell., 2016

From Formalised State Machines to Implementations of Robotic Controllers.
Proceedings of the Distributed Autonomous Robotic Systems, 2016

2015
Occlusion-Based Cooperative Transport with a Swarm of Miniature Mobile Robots.
IEEE Trans. Robotics, 2015

2014
Self-organized aggregation without computation.
Int. J. Robotics Res., 2014

Coevolutionary learning of swarm behaviors without metrics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Clustering objects with robots that do not compute.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
A coevolutionary approach to learn animal behavior through controlled interaction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013


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