Jia Wu

Orcid: 0000-0003-0599-0296

Affiliations:
  • University of Electronic Science and Technology of China, School of Information and Software Engineering, Chengdu, China
  • Université de technologie de Belfort-Montbéliard, France (PhD 2011)


According to our database1, Jia Wu authored at least 35 papers between 2009 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
How predictors affect the RL-based search strategy in Neural Architecture Search?
Expert Syst. Appl., March, 2024

2023
Efficient hyperparameters optimization through model-based reinforcement learning with experience exploiting and meta-learning.
Soft Comput., July, 2023

Hyperparameter optimization through context-based meta-reinforcement learning with task-aware representation.
Knowl. Based Syst., 2023

Efficient graph neural architecture search using Monte Carlo Tree search and prediction network.
Expert Syst. Appl., 2023

Meta-GNAS: Meta-reinforcement learning for graph neural architecture search.
Eng. Appl. Artif. Intell., 2023

Promoting Diversity in Mixed Complex Cooperative and Competitive Multi-Agent Environment.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
A context-based meta-reinforcement learning approach to efficient hyperparameter optimization.
Neurocomputing, 2022

A Spatial-Temporal Deep Reinforcement Learning Model for Large-Scale Centralized Traffic Signal Control.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Meta-Reinforcement Learning for Centralized Multiple Intersections Traffic Signal Control.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Examining the Usability of a Short-Video App Interface Through an Eye-Tracking Experiment.
Proceedings of the Design, User Experience, and Usability: UX Research, Design, and Assessment, 2022

Meta-Reinforcement Learning for Multiple Traffic Signals Control.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
EMORL: Effective multi-objective reinforcement learning method for hyperparameter optimization.
Eng. Appl. Artif. Intell., 2021

Centralized Traffic Signal Control for Multiple Intersections based on Sequence-to-Sequence model and Attention Mechanism.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Efficient hyperparameter optimization through model-based reinforcement learning.
Neurocomputing, 2020

Hierarchical Joint Control for Urban Mixed-Autonomy Traffic Optimization.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Efficient Hyperparameters optimization Through Model-based Reinforcement Learning and Meta-Learning.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019
Hierarchical Regional Control for Traffic Grid Signal Optimization.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Quantitative Trading on Stock Market Based on Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

RPR-BP: A Deep Reinforcement Learning Method for Automatic Hyperparameter Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2019

Algorithmic Currency Trading Based on Reinforcement Learning Combining Action Shaping and Advantage Function Shaping.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Deep Reinforcement Learning with Model-Based Acceleration for Hyperparameter Optimization.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
Hierarchical Temporal Memory method for time-series-based anomaly detection.
Neurocomputing, 2018

Effectiveness Proving and Control of Platoon-Based Vehicular Cyber-Physical Systems.
IEEE Access, 2018

2017
CSI fingerprinting with SVM regression to achieve device-free passive localization.
Proceedings of the 18th IEEE International Symposium on A World of Wireless, 2017

2016
Hierarchical Temporal Memory Method for Time-Series-Based Anomaly Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding.
Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation, 2015

2014
A scheduling model and complexity proof for autonomous vehicle sequencing problem at isolated intersections.
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014

Distributed urban traffic signal control based on spontaneous synchronization.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013
Cooperative driving at isolated intersections based on the optimal minimization of the maximum exit time.
Int. J. Appl. Math. Comput. Sci., 2013

Mathematical proof of effectiveness of platoon-based traffic control at intersections.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2012
Cooperative driving: an ant colony system for autonomous intersection management.
Appl. Intell., 2012

Using Robots for Prototyping Autonomous Intersection Management: Feasibility and Feedbacks.
Proceedings of the 1st Conference on Embedded Systems, 2012

2011
Utilisation de la conduite coopérative pour la régulation de trafic dans une intersection. (Using the technology of cooperative driving for the traffic control at isolated intersection).
PhD thesis, 2011

2009
Discrete Methods for Urban Intersection Traffic Controlling.
Proceedings of the 69th IEEE Vehicular Technology Conference, 2009

Intersection traffic control by a novel scheduling model.
Proceedings of the 2009 IEEE/INFORMS International Conference on Service Operations, 2009


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