Ensemble of 3D densely connected convolutional network for diagnosis of mild cognitive impairment and Alzheimer’s disease H Wang, Y Shen, S Wang, T Xiao, L Deng, X Wang, X Zhao Neurocomputing 333, 145-156, 2019 | 249 | 2019 |
Diabetic retinopathy diagnosis using multichannel generative adversarial network with semisupervision S Wang, X Wang, Y Hu, Y Shen, Z Yang, M Gan, B Lei IEEE Transactions on Automation Science and Engineering 18 (2), 574-585, 2020 | 135 | 2020 |
An ensemble-based densely-connected deep learning system for assessment of skeletal maturity S Wang, X Wang, Y Shen, B He, X Zhao, PWH Cheung, JPY Cheung, ... IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (1), 426-437, 2020 | 81 | 2020 |
Knowledge graph quality control: A survey X Wang, L Chen, T Ban, M Usman, Y Guan, S Liu, T Wu, H Chen Fundamental Research 1 (5), 607-626, 2021 | 73 | 2021 |
Automatic recognition of mild cognitive impairment and alzheimers disease using ensemble based 3d densely connected convolutional networks S Wang, H Wang, Y Shen, X Wang 2018 17th IEEE International conference on machine learning and applications …, 2018 | 72 | 2018 |
Unsupervised change detection in satellite images with generative adversarial network C Ren, X Wang, J Gao, X Zhou, H Chen IEEE Transactions on Geoscience and Remote Sensing 59 (12), 10047-10061, 2020 | 67 | 2020 |
From query tools to causal architects: Harnessing large language models for advanced causal discovery from data T Ban, L Chen, X Wang, H Chen arXiv preprint arXiv:2306.16902, 2023 | 48 | 2023 |
Temporal knowledge graph embedding via sparse transfer matrix X Wang, S Lyu, X Wang, X Wu, H Chen Information Sciences 623, 56-69, 2023 | 35 | 2023 |
Accurate label refinement from multiannotator of remote sensing data X Wang, L Chen, T Ban, D Lyu, Y Guan, X Wu, X Zhou, H Chen IEEE Transactions on Geoscience and Remote Sensing 61, 1-13, 2023 | 28 | 2023 |
Quality evaluation of triples in knowledge graph by incorporating internal with external consistency T Ban, X Wang, L Chen, X Wu, Q Chen, H Chen IEEE Transactions on Neural Networks and Learning Systems 35 (2), 1980-1992, 2022 | 25 | 2022 |
Feature selection in the data stream based on incremental markov boundary learning X Wu, B Jiang, X Wang, T Ban, H Chen IEEE Transactions on Neural Networks and Learning Systems 34 (10), 6740-6754, 2023 | 24 | 2023 |
Causal structure learning supervised by large language model T Ban, L Chen, D Lyu, X Wang, H Chen arXiv preprint arXiv:2311.11689, 2023 | 20 | 2023 |
Research ideas discovery via hierarchical negative correlation L Chen, X Wang, T Ban, M Usman, S Liu, D Lyu, H Chen IEEE Transactions on Neural Networks and Learning Systems 35 (2), 1639-1650, 2022 | 15 | 2022 |
Mitigating prior errors in causal structure learning: Towards llm driven prior knowledge L Chen, T Ban, X Wang, D Lyu, H Chen arXiv preprint arXiv:2306.07032, 2023 | 14 | 2023 |
A distribution-based representation of knowledge quality X Wang, T Ban, L Chen, M Usman, T Wu, Q Chen, H Chen Knowledge-Based Systems 281, 111054, 2023 | 13 | 2023 |
Dynamic link prediction for discovery of new impactful COVID-19 research approaches X Wang, Y Li, T Ban, J Zhu, L Chen, M Usman, X Wang, H Chen, X Chen, ... IEEE Journal of Biomedical and Health Informatics 26 (12), 5883-5894, 2022 | 13 | 2022 |
Research concept link prediction via graph convolutional network X Wang, L Chen, D Lyu, T Ban, Y Guan, Q Chen 2022 8th International Conference on Big Data and Information Analytics …, 2022 | 12 | 2022 |
Knowledge extraction from national standards for natural resources: A method for multi-domain texts T Ban, X Wang, X Wang, J Zhu, L Chen, Y Fan Journal of Database Management (JDM) 34 (1), 1-23, 2023 | 11 | 2023 |
Link prediction in continuous-time dynamic heterogeneous graphs with causality of event types J Zhu, X Wu, M Usman, X Wang, H Chen International Journal of Crowd Science 6 (2), 80-91, 2022 | 11 | 2022 |
Decentralised Knowledge Graph Evolution via Blockchain X Wang, T Ban, L Chen, M Usman, Y Guan, D Lyu, J Cheng, H Chen, ... IEEE Transactions on Services Computing, 2023 | 8 | 2023 |