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Yonghong Luo
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2020 – today
- 2023
- [j3]Yonghong Luo, Chao Lu, Lipeng Zhu, Jie Song:
Graph Convolutional Network-Based Interpretable Machine Learning Scheme in Smart Grids. IEEE Trans Autom. Sci. Eng. 20(1): 47-58 (2023) - [j2]Jingyi Zhang, Yonghong Luo, Boya Wang, Chao Lu, Jennie Si, Jie Song:
Deep Reinforcement Learning for Load Shedding Against Short-Term Voltage Instability in Large Power Systems. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4249-4260 (2023) - 2021
- [i1]Yonghong Luo, Chao Lu, Lipeng Zhu, Jie Song:
Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network. CoRR abs/2103.03729 (2021) - 2020
- [j1]Lipeng Zhu, Chao Lu, Yonghong Luo:
Time Series Data-Driven Batch Assessment of Power System Short-Term Voltage Security. IEEE Trans. Ind. Informatics 16(12): 7306-7317 (2020)
2010 – 2019
- 2019
- [c7]Xiangrui Cai, Yonghong Luo, Ying Zhang, Xiaojie Yuan:
On the Impact of the Length of Subword Vectors on Word Embeddings. DASFAA (3) 2019: 495-499 - [c6]Yonghong Luo, Ying Zhang, Xiangrui Cai, Xiaojie Yuan:
E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation. IJCAI 2019: 3094-3100 - 2018
- [c5]Xiangrui Cai, Yonghong Luo, Ying Zhang, Xiaojie Yuan:
Improving Word Embeddings by Emphasizing Co-hyponyms. WISA 2018: 215-227 - [c4]Yonghong Luo, Xiangrui Cai, Ying Zhang, Jun Xu, Xiaojie Yuan:
Multivariate Time Series Imputation with Generative Adversarial Networks. NeurIPS 2018: 1603-1614 - [c3]Yonghong Luo, Ying Zhang, Xiaoke Ding, Xiangrui Cai, Chunyao Song, Xiaojie Yuan:
StrDip: A Fast Data Stream Clustering Algorithm Using the Dip Test of Unimodality. WISE (2) 2018: 193-208 - 2016
- [c2]Yonghong Luo, Zhifan Yang, Huike Shi, Ying Zhang:
A Distributed Frequent Itemsets Mining Algorithm Using Sparse Boolean Matrix on Spark. APWeb (2) 2016: 419-423 - 2010
- [c1]Yonghong Luo, Tefang Chen:
A Data Mapping Strategy of Parallel Data Mining in Grid. ICEE 2010: 1377-1382
Coauthor Index
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