Jia Wu

发表

Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification

Hong Yang, Chuan Zhou, Chuan Zhou, 2022, Pattern Recognit..

A robust feature reinforcement framework for heterogeneous graphs neural networks

Jia Wu, Huifeng Wu, Zehao Wang, 2022, Future Gener. Comput. Syst..

Hyperparameter Optimization for Machine Learning Models Based on Bayesian Optimization

Hang Lei, Jia Wu, Hao Zhang, 2019 .

Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion

Shirui Pan, Bo Du, Jia Wu, 2019, World Wide Web.

A Survey on Graph Neural Networks for Graph Summarization

A. Beheshti, Ambreen Hanif, Maryam Shahabikargar, 2023, ArXiv.

VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily

Shirui Pan, Chuan Zhou, Yanan Cao, 2022, ArXiv.

Efficient hyperparameter optimization through model-based reinforcement learning

Jia Wu, SenPeng Chen, XiYuan Liu, 2020, Neurocomputing.

Hierarchical Temporal Memory Method for Time-Series-Based Anomaly Detection

Jia Wu, Fei Yan, Weiru Zeng, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

Quantitative Trading on Stock Market Based on Deep Reinforcement Learning

Jia WU, Chen WANG, Lidong XIONG, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Meta-GNAS: Meta-reinforcement learning for graph neural architecture search

TianJin Deng, Jia Wu, Yufei Li, 2023, Engineering Applications of Artificial Intelligence.

A Comprehensive Survey on Graph Summarization With Graph Neural Networks

A. Beheshti, Quan.Z Sheng, Ambreen Hanif, 2023, IEEE Transactions on Artificial Intelligence.

Efficient Hyperparameters optimization Through Model-based Reinforcement Learning and Meta-Learning

Xiyuan Liu, Jia Wu, Senpeng Chen, 2020, 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

RPR-BP: A Deep Reinforcement Learning Method for Automatic Hyperparameter Optimization

Jia WU, SenPeng CHEN, XiuYun CHEN, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Time series feature learning with labeled and unlabeled data

Qin Zhang, Haishuai Wang, Shirui Pan, 2019, Pattern Recognit..

Efficient graph neural architecture search using Monte Carlo Tree search and prediction network

TianJin Deng, Jia Wu, Jia Wu, 2022, Expert Syst. Appl..

Segformer: Segment-Based Transformer with Decomposition for Long-Term Series Forecasting

Zhen Liu, Jia Wu, Jinhua Chen, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Efficient hyperparameters optimization through model-based reinforcement learning with experience exploiting and meta-learning

Xiyuan Liu, Jia Wu, Senpeng Chen, 2023, Soft Computing - A Fusion of Foundations, Methodologies and Applications.

A Regional Traffic Signal Control Strategy with Deep Reinforcement Learning

Fei Yan, Congcong Li, Xiaomin Wang, 2018, 2018 37th Chinese Control Conference (CCC).

A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting

Hao Tian, Jia Wu, Huifeng Wu, 2023, Pattern Recognit..

Deep Reinforcement Learning with Model-Based Acceleration for Hyperparameter Optimization

SenPeng Chen, Jia Wu, XiuYun Chen, 2019, 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

Worldwide COVID-19 Topic Knowledge Graph Analysis From Social Media

Jing Li, Yifan Wang, Jia Wu, 2023, IEEE International Joint Conference on Neural Network.

CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing

Shirui Pan, Chuan Zhou, Yang Liu, 2023, WWW.

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks

Lingfei Wu, Di Jin, Cuiying Huo, 2023, WWW.

LUAD: A lightweight unsupervised anomaly detection scheme for multivariate time series data

T. Luan, Zhentao Liu, Jia Wu, 2023, Neurocomputing.

Algorithmic Currency Trading Based on Reinforcement Learning Combining Action Shaping and Advantage Function Shaping

Chen Wang, Nan Sang, Hongyong Sun, 2019, 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

Hierarchical Joint Control for Urban Mixed-Autonomy Traffic Optimization

Jia Wu, ZiYan Li, Ziyan Li, 2020, 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI).

Dual Structural Consistency Preserving Community Detection on Social Networks

Zhan Bu, Youquan Wang, Jia Wu, 2023, IEEE Transactions on Knowledge and Data Engineering.

Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI

Jessica J. M. Monaghan, D. McAlpine, P. Sowman, 2023, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition

A. Beheshti, Youquan Wang, Lei Chen, 2023, IEEE Transactions on Big Data.

Meta-Reinforcement Learning for Multiple Traffic Signals Control

Jia Wu, Yican Lou, Yunchuan Ran, 2022, CIKM.

Hyperparameter optimization through context-based meta-reinforcement learning with task-aware representation

Xiyuan Liu, Jia Wu, Senpeng Chen, 2023, Knowl. Based Syst..

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation

Chuan Zhou, Shuaiqiang Wang, Yanan Cao, 2024, IEEE Transactions on Knowledge and Data Engineering.