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ORCIDJia Wu 0005
Person information
- affiliation: University of Electronic Science and Technology of China, School of Information and Software Engineering, Chengdu, China
- affiliation (PhD 2011): Université de technologie de Belfort-Montbéliard, France
Other persons with the same name
- Jia Wu — disambiguation page
- Jia Wu 0001
![[0000-0002-1371-5801]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1371-5801")
— Macquarie University, Sydney, Australia (and 2 more) - Jia Wu 0002 — Central South University, School of Software, Changsha, China
- Jia Wu 0003 — University of Washington, Department of Electrical Engineering and Computer Science and Engineering, Seattle, WA, USA
- Jia Wu 0004 — University of Salford, School of Computing Science and Engineering, UK (and 1 more)
- Jia Wu 0006 — Central South University, School of Information Science and Engineering, Changsha, China
- Jia Wu 0007 — Dalian University of Technology, School of Mathematical Sciences, China
- Jia Wu 0008 — University of Pennsylvania, Department of Radiology, Philadelphia, PA, USA
- Jia Wu 0009 — University of Texas MD Anderson Cancer Center, Department of Imaging Physics, Department of Thoracic/Head and Neck Medical Oncology, Houston, TX, USA (and 1 more)
- Jia Wu 0010 — Nanjing University of Finance and Economics, School of Information Engineering, China
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2020 – today
- 2025
[j13]Zixuan Xu, Jia Wu:
Contrastive meta-reinforcement learning for heterogeneous graph neural architecture search. Expert Syst. Appl. 260: 125433 (2025)- 2024
- [j12]Jia Wu, TianJin Deng, Qi Hu:
How predictors affect the RL-based search strategy in Neural Architecture Search? Expert Syst. Appl. 238(Part C): 121742 (2024) - 2023
- [j11]Yufei Li, Jia Wu, TianJin Deng:
Meta-GNAS: Meta-reinforcement learning for graph neural architecture search. Eng. Appl. Artif. Intell. 123(Part B): 106300 (2023) - [j10]TianJin Deng, Jia Wu:
Efficient graph neural architecture search using Monte Carlo Tree search and prediction network. Expert Syst. Appl. 213(Part): 118916 (2023) - [j9]Jia Wu, Xiyuan Liu, Senpeng Chen:
Hyperparameter optimization through context-based meta-reinforcement learning with task-aware representation. Knowl. Based Syst. 260: 110160 (2023) - [j8]Xiyuan Liu, Jia Wu, Senpeng Chen:
Efficient hyperparameters optimization through model-based reinforcement learning with experience exploiting and meta-learning. Soft Comput. 27(13): 8661-8678 (2023) - [c22]Jia Wu, Zixiao Huang:
Promoting Diversity in Mixed Complex Cooperative and Competitive Multi-Agent Environment. CIKM 2023: 4355-4359 - 2022
- [j7]Xiyuan Liu, Jia Wu, Senpeng Chen:
A context-based meta-reinforcement learning approach to efficient hyperparameter optimization. Neurocomputing 478: 89-103 (2022) - [c21]Yican Lou, Jia Wu, Yunchuan Ran:
Meta-Reinforcement Learning for Multiple Traffic Signals Control. CIKM 2022: 4264-4268 - [c20]Jia Wu, Rui Zhou, Nan Chen, Yujie Shi:
Examining the Usability of a Short-Video App Interface Through an Eye-Tracking Experiment. HCI (20) 2022: 414-427 - [c19]Chenglin Yi, Jia Wu, Yanyu Ren, Yunchuan Ran, Yican Lou:
A Spatial-Temporal Deep Reinforcement Learning Model for Large-Scale Centralized Traffic Signal Control. ITSC 2022: 275-280 - [c18]Yanyu Ren, Jia Wu, Chenglin Yi, Yunchuan Ran, Yican Lou:
Meta-Reinforcement Learning for Centralized Multiple Intersections Traffic Signal Control. ITSC 2022: 281-286 - 2021
- [j6]Senpeng Chen, Jia Wu, Xiyuan Liu:
EMORL: Effective multi-objective reinforcement learning method for hyperparameter optimization. Eng. Appl. Artif. Intell. 104: 104315 (2021) - [c17]Le Ma, Bo Xue, Jia Wu:
Centralized Traffic Signal Control for Multiple Intersections based on Sequence-to-Sequence model and Attention Mechanism. ITSC 2021: 2519-2524 - 2020
- [j5]Jia Wu, Senpeng Chen, Xiyuan Liu:
Efficient hyperparameter optimization through model-based reinforcement learning. Neurocomputing 409: 381-393 (2020) - [c16]Xiyuan Liu, Jia Wu, Senpeng Chen:
Efficient Hyperparameters optimization Through Model-based Reinforcement Learning and Meta-Learning. HPCC/DSS/SmartCity 2020: 1036-1041 - [c15]Jia Wu, Ziyan Li:
Hierarchical Joint Control for Urban Mixed-Autonomy Traffic Optimization. ICTAI 2020: 700-705
2010 – 2019
- 2019
- [c14]Senpeng Chen, Jia Wu, Xiuyun Chen:
Deep Reinforcement Learning with Model-Based Acceleration for Hyperparameter Optimization. ICTAI 2019: 170-177 - [c13]Hongyong Sun, Nan Sang, Jia Wu, Chen Wang:
Algorithmic Currency Trading Based on Reinforcement Learning Combining Action Shaping and Advantage Function Shaping. ICTAI 2019: 1494-1498 - [c12]Jia Wu, Senpeng Chen, Xiuyun Chen:
RPR-BP: A Deep Reinforcement Learning Method for Automatic Hyperparameter Optimization. IJCNN 2019: 1-8 - [c11]Jia Wu, Chen Wang, Lidong Xiong, Hongyong Sun:
Quantitative Trading on Stock Market Based on Deep Reinforcement Learning. IJCNN 2019: 1-8 - [c10]Lingzhou Shu, Jia Wu, Ziyan Li:
Hierarchical Regional Control for Traffic Grid Signal Optimization. ITSC 2019: 3547-3552 - 2018
- [j4]Jia Wu, Fei Yan, Jianxing Liu:
Effectiveness Proving and Control of Platoon-Based Vehicular Cyber-Physical Systems. IEEE Access 6: 21140-21151 (2018) - [j3]Jia Wu, Weiru Zeng, Fei Yan:
Hierarchical Temporal Memory method for time-series-based anomaly detection. Neurocomputing 273: 535-546 (2018) - 2017
- [c9]Rui Zhou, Jiesong Chen, Xiang Lu, Jia Wu:
CSI fingerprinting with SVM regression to achieve device-free passive localization. WoWMoM 2017: 1-9 - 2016
- [c8]Jia Wu, Weiru Zeng, Zhe Chen, Xue-Fei Tang:
Hierarchical Temporal Memory Method for Time-Series-Based Anomaly Detection. ICDM Workshops 2016: 1167-1172 - 2015
- [c7]Yiou Lin, Hang Lei, Jia Wu, Xiaoyu Li:
An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding. PACLIC 2015 - [i1]Yiou Lin, Hang Lei, Jia Wu, Xiaoyu Li:
An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding. CoRR abs/1511.01665 (2015) - 2014
- [c6]Jia Wu, Fei Yan, Ping Kuang:
Distributed urban traffic signal control based on spontaneous synchronization. ITSC 2014: 2202-2207 - [c5]Fei Yan, Jia Wu, Mahjoub Dridi:
A scheduling model and complexity proof for autonomous vehicle sequencing problem at isolated intersections. SOLI 2014: 78-83 - 2013
- [j2]Jia Wu, Abdeljalil Abbas-Turki, Florent Perronnet:
Cooperative driving at isolated intersections based on the optimal minimization of the maximum exit time. Int. J. Appl. Math. Comput. Sci. 23(4): 773-785 (2013) - [c4]Jia Wu, Fei Yan, Abdeljalil Abbas-Turki:
Mathematical proof of effectiveness of platoon-based traffic control at intersections. ITSC 2013: 720-725 - 2012
- [j1]Jia Wu, Abdeljalil Abbas-Turki, Abdellah El Moudni:
Cooperative driving: an ant colony system for autonomous intersection management. Appl. Intell. 37(2): 207-222 (2012) - [c3]Abdeljalil Abbas-Turki, Mourad Ahmane, Fei Gao, Jia Wu, Abdellah El Moudni, Abdellatif Miraoui:
Using Robots for Prototyping Autonomous Intersection Management: Feasibility and Feedbacks. CESCIT 2012: 308-313 - 2011
- [b1]Jia Wu:
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). Université de technologie de Belfort-Montbéliard, France, 2011
2000 – 2009
- 2009
- [c2]Jia Wu, Abdeljalil Abbas-Turki, Abdellah El Moudni:
Intersection traffic control by a novel scheduling model. SOLI 2009: 329-334 - [c1]Jia Wu, Abdeljalil Abbas-Turki, Abdellah El Moudni:
Discrete Methods for Urban Intersection Traffic Controlling. VTC Spring 2009
Coauthor Index
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