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Rongrong Ma
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2020 – today
- 2024
- [j10]Yifan Yao, Jinxia Liang, Yue Li, Rongrong Ma:
Tight Toughness, Isolated Toughness and Binding Number Bounds for the Star-Path Factor. J. Interconnect. Networks 24(3): 2350020:1-2350020:8 (2024) - [j9]Rongrong Ma, Guansong Pang, Ling Chen:
Harnessing collective structure knowledge in data augmentation for graph neural networks. Neural Networks 180: 106651 (2024) - [j8]Rongrong Ma, Zhen Ji, Yifan Yao, Yalong Lei:
Monitoring-edge-geodetic numbers of radix triangular mesh and Sierpiński graphs. Int. J. Parallel Emergent Distributed Syst. 39(3): 353-361 (2024) - [j7]Miaomiao Fu, Yixing Liu, Rongrong Ma, Binbin Zhang, Linli Wu, Lingli Zhu:
A model integrating attention mechanism and generative adversarial network for image style transfer. PeerJ Comput. Sci. 10: e2332 (2024) - [c6]Rongrong Ma, Guansong Pang, Ling Chen:
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks. IJCNN 2024: 1-8 - [i4]Rongrong Ma, Guansong Pang, Ling Chen:
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks. CoRR abs/2405.04903 (2024) - [i3]Rongrong Ma, Guansong Pang, Ling Chen:
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks. CoRR abs/2405.10633 (2024) - 2022
- [j6]Honggang Yang, Shaowen Li, Lijing Tu, Rongrong Ma, Yin Chen:
Unsupervised Outlier Detection Mechanism for Tea Traceability Data. IEEE Access 10: 94818-94831 (2022) - [j5]Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu:
DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation. IEEE Trans. Cybern. 52(2): 912-924 (2022) - [c5]Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel:
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. WSDM 2022: 704-714 - 2021
- [c4]Chunlin Chen, Jing Wang, Liming Wu, Gewen Sun, Shaohua Chang, Junze Tong, Rongrong Ma, Zixuan Wang, Xiaolong Wang:
An automatic fiber coupling system utilizing a modified evolutionary algorithm. DASC/PiCom/CBDCom/CyberSciTech 2021: 605-610 - [i2]Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel:
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. CoRR abs/2112.10063 (2021) - 2020
- [j4]Yanbing Jia, Tao Huang, Yubo Li, Rongrong Ma:
Parameter Setting Strategy for the Controller of the DFIG Wind Turbine Considering the Small-Signal Stability of Power Grids. IEEE Access 8: 31287-31294 (2020)
2010 – 2019
- 2019
- [j3]Yong Shi, Minglong Lei, Rongrong Ma, Lingfeng Niu:
Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity. IEEE Access 7: 17195-17206 (2019) - [j2]Jianyu Miao, Heling Cao, Xiao-Bo Jin, Rongrong Ma, Xuan Fei, Lingfeng Niu:
Joint Sparse Regularization for Dictionary Learning. Cogn. Comput. 11(5): 697-710 (2019) - [j1]Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang:
Transformed ℓ1 regularization for learning sparse deep neural networks. Neural Networks 119: 286-298 (2019) - [c3]Anda Tang, Rongrong Ma, Jianyu Miao, Lingfeng Niu:
Sparse Optimization Based on Non-convex ℓ 1/2 Regularization for Deep Neural Networks. ICDS 2019: 158-166 - [i1]Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang:
Transformed 𝓁1 Regularization for Learning Sparse Deep Neural Networks. CoRR abs/1901.01021 (2019) - 2018
- [c2]Rongrong Ma, Lingfeng Niu:
Compact Deep Neural Networks with ℓ1, 1 and ℓ1, 2 Regularization. ICDM Workshops 2018: 1248-1254 - [c1]Rongrong Ma, Lingfeng Niu:
A Survey of Sparse-Learning Methods for Deep Neural Networks. WI 2018: 647-650
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last updated on 2024-10-25 21:16 CEST by the dblp team
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