Jielong Yang

According to our database, Jielong Yang authored at least 29 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Novel Composite Graph Neural Network.

Zhaogeng Liu, Jielong Yang, Xionghu Zhong, Wenwu Wang, Hechang Chen, Yi Chang

IEEE Trans. Neural Networks Learn. Syst., October, 2024

A Transformer-Based Approach to Leakage Detection in Water Distribution Networks.

Juan Luo, Chongxiao Wang, Jielong Yang, Xionghu Zhong

Sensors, October, 2024

Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks.

Zhaogeng Liu, Feng Ji, Jielong Yang, Xiaofeng Cao, Muhan Zhang, Hechang Chen, Yi Chang

IEEE Trans. Neural Networks Learn. Syst., September, 2024

FR-GNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction.

Rui Ding, Jielong Yang, Feng Ji, Xionghu Zhong, Linbo Xie

IEEE Internet Things J., July, 2024

Black-Box Attacks on Graph Neural Networks via White-Box Methods With Performance Guarantees.

Jielong Yang, Rui Ding, Jianyu Chen, Xionghu Zhong, Huarong Zhao, Linbo Xie

IEEE Internet Things J., May, 2024

Robust multi-agent reinforcement learning via Bayesian distributional value estimation.

Xinqi Du, Hechang Chen, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He

Pattern Recognit., January, 2024

GL-GNN: Graph learning via the network of graphs.

Yixiang Shan, Jielong Yang, Yixing Gao

Knowl. Based Syst., 2024

Dynamic spatial-temporal graph convolutional recurrent networks for traffic flow forecasting.

Zhichao Xia, Yong Zhang, Jielong Yang, Linbo Xie

Expert Syst. Appl., 2024

Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction.

Jielong Yang, Rui Ding, Feng Ji, Hongbin Wang, Linbo Xie

CoRR, 2024

An Attention Model Based Approach for Leakage Detection in Water Distribution Networks Using Normal Pressure Data.

Juan Luo, Du Zhou, Chongxiao Wang, Jielong Yang, Xionghu Zhong

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

2023

Towards fidelity of graph data augmentation via equivariance.

Bai Zhang, Yixing Gao, Feng Ji, Linbo Xie, Xiaofeng Cao, Yixiang Shan, Jielong Yang

Knowl. Based Syst., November, 2023

A novel relation aware wrapper method for feature selection.

Zhaogeng Liu, Jielong Yang, Li Wang, Yi Chang

Pattern Recognit., August, 2023

GLAE: A graph-learnable auto-encoder for single-cell RNA-seq analysis.

Yixiang Shan, Jielong Yang, Xiangtao Li, Xionghu Zhong, Yi Chang

Inf. Sci., April, 2023

Dual-decoder transformer network for answer grounding in visual question answering.

Liangjun Zhu, Li Peng, Weinan Zhou, Jielong Yang

Pattern Recognit. Lett., 2023

Distribution shift mitigation at test time with performance guarantees.

Rui Ding, Jielong Yang, Feng Ji, Xionghu Zhong, Linbo Xie

CoRR, 2023

Distributional Signals for Node Classification in Graph Neural Networks.

Feng Ji, See Hian Lee, Kai Zhao, Wee Peng Tay, Jielong Yang

CoRR, 2023

Thermal Environment of Typical Industrial Parks over Jinjiang-Shishi, in southeast Fujian Province, China.

Jielong Yang, Yige Bai, Dongfang Huang, Feng Chen

Proceedings of the 5th International Conference on Internet of Things, 2023

Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks.

Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay

Proceedings of the International Conference on Machine Learning, 2023

2022

An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks.

Jielong Yang, Wee Peng Tay

IEEE Trans. Knowl. Data Eng., 2022

Learning the Network of Graphs for Graph Neural Networks.

Yixiang Shan, Jielong Yang, Xing Liu, Yixing Gao, Hechang Chen, Shuzhi Sam Ge

CoRR, 2022

Sigmoidally Preconditioned Off-policy Learning: a new exploration method for reinforcement learning.

Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Jielong Yang, Haiyin Piao, Zhixiao Sun, Bei Jiang, Yi Chang

CoRR, 2022

Cross-Domain Representation Learning for Clothes Unfolding in Robot-Assisted Dressing.

Jinge Qie, Yixing Gao, Runyang Feng, Xin Wang, Jielong Yang, Esha Dasgupta, Hyung Jin Chang, Yi Chang

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Multiple Acoustic Source Localization in Microphone Array Networks.

Jielong Yang, Xionghu Zhong, Weiguang Chen, Wenwu Wang

IEEE ACM Trans. Audio Speech Lang. Process., 2021

2020

GFCN: A New Graph Convolutional Network Based on Parallel Flows.

Feng Ji, Jielong Yang, Qiang Zhang, Wee Peng Tay

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Using Social Network Information in Community-Based Bayesian Truth Discovery.

Jielong Yang, Junshan Wang, Wee Peng Tay

IEEE Trans. Signal Inf. Process. over Networks, 2019

An Unsupervised Bayesian Neural Network for Truth Discovery.

Jielong Yang, Wee Peng Tay

CoRR, 2019

GraphFlow: A New Graph Convolutional Network Based on Parallel Flows.

Feng Ji, Jielong Yang, Wee Peng Tay

CoRR, 2019

2018

A Dynamic Bayesian Nonparametric Model for Blind Calibration of Sensor Networks.

Jielong Yang, Xionghu Zhong, Wee Peng Tay

IEEE Internet Things J., 2018

Using Social Network Information in Bayesian Truth Discovery.

Jielong Yang, Junshan Wang, Wee Peng Tay

CoRR, 2018