Compact Deep Neural Networks with ℓ1, 1 and ℓ1, 2 Regularization. - Rongrong Ma; Lingfeng Niu (ICDM Workshops, 2018)

A Survey of Sparse-Learning Methods for Deep Neural Networks. - Rongrong Ma; Lingfeng Niu (WI, 2018)

Sparse Optimization Based on Non-convex ℓ 1/2 Regularization for Deep Neural Networks. - Anda Tang; Rongrong Ma; Jianyu Miao; Lingfeng Niu (ICDS, 2019)

Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity. - Yong Shi 001; Minglong Lei; Rongrong Ma; Lingfeng Niu (IEEE Access, 2019)

Joint Sparse Regularization for Dictionary Learning. - Jianyu Miao; Heling Cao; Xiao-Bo Jin; Rongrong Ma; Xuan Fei; Lingfeng Niu (Cogn. Comput., 2019)

Transformed 𝓁1 Regularization for Learning Sparse Deep Neural Networks. - Rongrong Ma; Jianyu Miao; Lingfeng Niu; Peng Zhang 001 (CoRR, 2019)

Transformed ℓ1 regularization for learning sparse deep neural networks. - Rongrong Ma; Jianyu Miao; Lingfeng Niu; Peng Zhang 001 (Neural Networks, 2019)

Parameter Setting Strategy for the Controller of the DFIG Wind Turbine Considering the Small-Signal Stability of Power Grids. - Yanbing Jia; Tao Huang 002; Yubo Li; Rongrong Ma (IEEE Access, 2020)

An automatic fiber coupling system utilizing a modified evolutionary algorithm. - Chunlin Chen; Jing Wang; Liming Wu; Gewen Sun; Shaohua Chang; Junze Tong; Rongrong Ma; Zixuan Wang 001; Xiaolong Wang (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. - Rongrong Ma; Guansong Pang; Ling Chen 006; Anton van den Hengel (WSDM, 2022)

Unsupervised Outlier Detection Mechanism for Tea Traceability Data. - Honggang Yang; Shaowen Li; Lijing Tu; Rongrong Ma; Yin Chen (IEEE Access, 2022)

DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation. - Minglong Lei; Pei Quan; Rongrong Ma; Yong Shi 001; Lingfeng Niu (IEEE Trans. Cybern., 2022)

Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks. - Rongrong Ma; Guansong Pang; Ling Chen 006 (IJCNN, 2024)

Harnessing collective structure knowledge in data augmentation for graph neural networks. - Rongrong Ma; Guansong Pang; Ling Chen 006 (Neural Networks, 2024)

A model integrating attention mechanism and generative adversarial network for image style transfer. - Miaomiao Fu; Yixing Liu; Rongrong Ma; Binbin Zhang; Linli Wu; Lingli Zhu (PeerJ Comput. Sci., 2024)

Monitoring-edge-geodetic numbers of radix triangular mesh and Sierpiński graphs. - Rongrong Ma; Zhen Ji; Yifan Yao; Yalong Lei (Int. J. Parallel Emergent Distributed Syst., 2024)

Tight Toughness, Isolated Toughness and Binding Number Bounds for the Star-Path Factor. - Yifan Yao; Jinxia Liang; Yue Li; Rongrong Ma (J. Interconnect. Networks, 2024)