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2020 – today
- 2024
[j16]Zhichao Xia
, Yong Zhang, Jielong Yang, Linbo Xie:
Dynamic spatial-temporal graph convolutional recurrent networks for traffic flow forecasting. Expert Syst. Appl. 240: 122381 (2024)- [j15]Jielong Yang, Rui Ding, Jianyu Chen, Xionghu Zhong, Huarong Zhao, Linbo Xie:
Black-Box Attacks on Graph Neural Networks via White-Box Methods With Performance Guarantees. IEEE Internet Things J. 11(10): 18193-18204 (2024) - [j14]Rui Ding, Jielong Yang, Feng Ji, Xionghu Zhong, Linbo Xie:
FR-GNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction. IEEE Internet Things J. 11(13): 23521-23531 (2024) - [j13]Yixiang Shan, Jielong Yang, Yixing Gao:
GL-GNN: Graph learning via the network of graphs. Knowl. Based Syst. 299: 112107 (2024) - [j12]Xinqi Du, Hechang Chen, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He:
Robust multi-agent reinforcement learning via Bayesian distributional value estimation. Pattern Recognit. 145: 109917 (2024) - [j11]Juan Luo, Chongxiao Wang, Jielong Yang, Xionghu Zhong:
A Transformer-Based Approach to Leakage Detection in Water Distribution Networks. Sensors 24(19): 6294 (2024) - [j10]Zhaogeng Liu, Feng Ji, Jielong Yang, Xiaofeng Cao, Muhan Zhang, Hechang Chen, Yi Chang:
Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11720-11733 (2024) - [j9]Zhaogeng Liu, Jielong Yang, Xionghu Zhong, Wenwu Wang, Hechang Chen, Yi Chang:
A Novel Composite Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13411-13425 (2024) - 2023
- [j8]Yixiang Shan, Jielong Yang, Xiangtao Li, Xionghu Zhong, Yi Chang:
GLAE: A graph-learnable auto-encoder for single-cell RNA-seq analysis. Inf. Sci. 621: 88-103 (2023) - [j7]Bai Zhang, Yixing Gao, Feng Ji, Linbo Xie, Xiaofeng Cao, Yixiang Shan, Jielong Yang:
Towards fidelity of graph data augmentation via equivariance. Knowl. Based Syst. 280: 111017 (2023) - [j6]Zhaogeng Liu, Jielong Yang, Li Wang, Yi Chang:
A novel relation aware wrapper method for feature selection. Pattern Recognit. 140: 109566 (2023) - [j5]Liangjun Zhu, Li Peng, Weinan Zhou, Jielong Yang:
Dual-decoder transformer network for answer grounding in visual question answering. Pattern Recognit. Lett. 171: 53-60 (2023) - [c5]Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay:
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. ICML 2023: 14869-14885 - [c4]Jielong Yang, Yige Bai, Dongfang Huang, Feng Chen:
Thermal Environment of Typical Industrial Parks over Jinjiang-Shishi, in southeast Fujian Province, China. IoTAAI 2023: 544-548 - [i8]Feng Ji, See Hian Lee, Kai Zhao, Wee Peng Tay, Jielong Yang:
Distributional Signals for Node Classification in Graph Neural Networks. CoRR abs/2304.03507 (2023) - [i7]Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay:
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. CoRR abs/2305.00139 (2023) - [i6]Rui Ding, Jielong Yang, Feng Ji, Xionghu Zhong, Linbo Xie:
Distribution shift mitigation at test time with performance guarantees. CoRR abs/2308.09259 (2023) - 2022
- [j4]Jielong Yang, Wee Peng Tay:
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks. IEEE Trans. Knowl. Data Eng. 34(11): 5182-5195 (2022) - [c3]Jinge Qie, Yixing Gao, Runyang Feng, Xin Wang, Jielong Yang, Esha Dasgupta, Hyung Jin Chang, Yi Chang:
Cross-Domain Representation Learning for Clothes Unfolding in Robot-Assisted Dressing. ECCV Workshops (6) 2022: 658-671 - [i5]Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Jielong Yang, Haiyin Piao, Zhixiao Sun, Bei Jiang, Yi Chang:
Sigmoidally Preconditioned Off-policy Learning: a new exploration method for reinforcement learning. CoRR abs/2205.10047 (2022) - [i4]Yixiang Shan, Jielong Yang, Xing Liu, Yixing Gao, Hechang Chen, Shuzhi Sam Ge:
Learning the Network of Graphs for Graph Neural Networks. CoRR abs/2210.03907 (2022) - 2021
- [j3]Jielong Yang, Xionghu Zhong, Weiguang Chen, Wenwu Wang:
Multiple Acoustic Source Localization in Microphone Array Networks. IEEE ACM Trans. Audio Speech Lang. Process. 29: 334-347 (2021) - 2020
- [c2]Feng Ji, Jielong Yang, Qiang Zhang, Wee Peng Tay:
GFCN: A New Graph Convolutional Network Based on Parallel Flows. ICASSP 2020: 3332-3336
2010 – 2019
- 2019
- [j2]Jielong Yang, Junshan Wang, Wee Peng Tay:
Using Social Network Information in Community-Based Bayesian Truth Discovery. IEEE Trans. Signal Inf. Process. over Networks 5(3): 525-537 (2019) - [i3]Feng Ji, Jielong Yang, Wee Peng Tay:
GraphFlow: A New Graph Convolutional Network Based on Parallel Flows. CoRR abs/1902.09173 (2019) - [i2]Jielong Yang, Wee Peng Tay:
An Unsupervised Bayesian Neural Network for Truth Discovery. CoRR abs/1906.10470 (2019) - 2018
- [j1]Jielong Yang, Xionghu Zhong, Wee Peng Tay:
A Dynamic Bayesian Nonparametric Model for Blind Calibration of Sensor Networks. IEEE Internet Things J. 5(5): 3942-3953 (2018) - [i1]Jielong Yang, Junshan Wang, Wee Peng Tay:
Using Social Network Information in Bayesian Truth Discovery. CoRR abs/1806.02954 (2018) - 2017
- [c1]Jielong Yang, Wee-Peng Tay, Xionghu Zhong:
A dynamic Bayesian nonparametric model for blind calibration of sensor networks. ICASSP 2017: 4207-4211
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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