| Gradient amplification: An efficient way to train deep neural networks S Basodi, C Ji, H Zhang, Y Pan Big Data Mining and Analytics 3 (3), 196-207, 2020 | 253 | 2020 |
| Efficient hyperparameter optimization in deep learning using a variable length genetic algorithm X Xiao, M Yan, S Basodi, C Ji, Y Pan arXiv preprint arXiv:2006.12703, 2020 | 136 | 2020 |
| A review of infant cry analysis and classification C Ji, TB Mudiyanselage, Y Gao, Y Pan EURASIP Journal on Audio, Speech, and Music Processing 2021 (1), 8, 2021 | 112 | 2021 |
| Fast deep learning training through intelligently freezing layers X Xiao, TB Mudiyanselage, C Ji, J Hu, Y Pan 2019 international conference on internet of things (iThings) and IEEE green …, 2019 | 51 | 2019 |
| Deep learning for asphyxiated infant cry classification based on acoustic features and weighted prosodic features C Ji, X Xiao, S Basodi, Y Pan 2019 International conference on Internet of Things (iThings) and IEEE green …, 2019 | 37 | 2019 |
| Using transfer learning, SVM, and ensemble classification to classify baby cries based on their spectrogram images L Le, ANMH Kabir, C Ji, S Basodi, Y Pan 2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems …, 2019 | 36 | 2019 |
| Infant cry classification with graph convolutional networks J Chunyan, M Chen, L Bin, Y Pan 2021 IEEE 6th International Conference on Computer and Communication Systems …, 2021 | 24 | 2021 |
| Infant sound classification on multi-stage CNNs with hybrid features and prior knowledge C Ji, S Basodi, X Xiao, Y Pan International Conference on AI and Mobile Services, 3-16, 2020 | 21 | 2020 |
| Drug-target interactions prediction based on signed heterogeneous graph neural networks M Chen, Y Jiang, X Lei, Y Pan, C Ji, W Jiang Chinese Journal of Electronics 33 (1), 231-244, 2024 | 17 | 2024 |
| Efficient hyperparameter optimization in deep learning using a variable length genetic algorithm. arXiv 2020 X Xiao, M Yan, S Basodi, C Ji, Y Pan arXiv preprint arXiv:2006.12703, 2006 | 17 | 2006 |
| SGFNNs: Signed graph filtering-based neural networks for predicting drug–drug interactions M Chen, W Jiang, Y Pan, J Dai, Y Lei, C Ji Journal of Computational Biology 29 (10), 1104-1116, 2022 | 8 | 2022 |
| Covid-19 detection from chest X-ray and patient metadata using graph convolutional neural networks TB Mudiyanselage, N Senanayake, C Ji, Y Pan, Y Zhang arXiv preprint arXiv:2105.09720, 2021 | 7 | 2021 |
| PK-GCN: prior knowledge assisted image classification using graph convolution networks X Xiao, C Ji, TB Mudiyanselage, Y Pan arXiv preprint arXiv:2009.11892, 2020 | 7 | 2020 |
| Concept-enhanced multi-view clustering of document data B Diallo, J Hu, T Li, G Khan, C Ji 2019 IEEE 14th International Conference on Intelligent Systems and Knowledge …, 2019 | 6 | 2019 |
| Evolutionary approach for message scheduling in optical Omega networks Y Pan, C Ji, X Lin, X Jia Fifth International Conference on Algorithms and Architectures for Parallel …, 2002 | 6 | 2002 |
| Infant cry classification based-on feature fusion and mel-spectrogram decomposition with cnns C Ji, Y Jiao, M Chen, Y Pan International Conference on AI and Mobile Services, 126-134, 2022 | 4 | 2022 |
| Infant vocal tract development analysis and diagnosis by cry signals with CNN age classification C Ji, Y Pan 2021 International Conference on Speech Technology and Human-Computer …, 2021 | 4 | 2021 |
| Fragment-pair based drug molecule solubility prediction through attention mechanism J Liu, X Lei, C Ji, Y Pan Frontiers in Pharmacology 14, 1255181, 2023 | 2 | 2023 |
| Infant Cry Signal Processing, Analysis, and Classification with Artificial Neural Networks C Ji | 2 | 2021 |
| Multi-filter Based Signed Graph Convolutional Networks for Predicting Interactions on Drug Networks M Chen, Z Hu, X Lei, C Ji, Z Tong, Y Pan International Symposium on Bioinformatics Research and Applications, 315-326, 2024 | 1 | 2024 |
Yi PanShenzhen University of Advanced Technology, Chinaایمیل تأیید شده در cs.gsu.edu