Xiang Wu

Orcid: 0000-0002-9732-628X

Affiliations:
  • Nanjing University of Science and Technology, Nanjing, Jiangsu, China


According to our database1, Xiang Wu authored at least 27 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2026
EGCARL: A PPO-based reinforcement learning method with expert guidance and dynamic rewards for autonomous driving.
Inf. Fusion, 2026

2025
Dynamic Task Allocation for UAV Swarms in Maritime Rescue Scenarios Based on PG-MAPPO.
IEEE Internet Things J., September, 2025

Developmental Networks With Foveation.
IEEE Trans. Cogn. Dev. Syst., June, 2025

A Hierarchical ViT With Dynamic Window Shift Unit and Curriculum Learning for Remote Sensing Image Scene Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024
A Transfer Learning Framework for Deep Multi-Agent Reinforcement Learning.
IEEE CAA J. Autom. Sinica, November, 2024

Two-Phase on-Line Joint Scheduling for Welfare Maximization of Charging Station.
IEEE Trans Autom. Sci. Eng., October, 2024

On Skull-Closed Machine Thinking Based on Emergent Turing Machines.
IEEE Trans. Artif. Intell., June, 2024

Online Multi-Scale Classification and Global Feature Modulation for Robust Visual Tracking.
IEEE Trans. Circuits Syst. Video Technol., 2024

The Luckiest Network Gives the Average Error on Disjoint Tests: Experiments.
Proceedings of the 5th International Conference on Artificial Intelligence in Electronics Engineering, 2024

2023
Long-Term Trajectory Prediction of Hypersonic Glide Vehicle Based on Physics-Informed Transformer.
IEEE Trans. Aerosp. Electron. Syst., December, 2023

2022
Developmental Network-2: The Autonomous Generation of Optimal Internal-Representation Hierarchy.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Two-phase On-line Joint Scheduling of Pricing and Control for Welfare Maximization of Charging Station.
CoRR, 2022

Developmental Network Two, Its Optimality, and Emergent Turing Machines.
CoRR, 2022

2021
Learning to recognize while learning to speak: Self-supervision and developing a speaking motor.
Neural Networks, 2021

SARSA in extended Kalman Filter for complex urban environments positioning.
Int. J. Syst. Sci., 2021

On Machine Thinking.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Muscle Vectors as Temporally Dense "Labels".
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Autonomous Programming for General Purposes: Theory and Experiments.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Neuron-Wise Inhibition Zones and Auditory Experiments.
IEEE Trans. Ind. Electron., 2019

Emergent neural turing machine and its visual navigation.
Neural Networks, 2019

The Emergent-Context Emergent-Input Framework for Temporal Processing.
Proceedings of the International Joint Conference on Neural Networks, 2019

Task-Nonspecific and Modality-Nonspecific AI.
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

2018
Information-dense actions as contexts.
Neurocomputing, 2018

Emergent Turing Machine as a General Purpose Approximator.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Sensorimotor in Space and Time: Audition.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Entropy as Temporal Information Density.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
Actions as contexts.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017


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