| Variational EM algorithm for Student-t mixtures of Gaussian processes X Guo, X Li, J Ma International Conference on Intelligent Computing, 552-563, 2021 | 4 | 2021 |
| Concordant contrastive learning for semi-supervised node classification on graph D Wu, X Luo, X Guo, C Chen, M Deng, J Ma Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 3 | 2021 |
| Adaptive harmony learning and optimization for attributed graph clustering D Wu, X Guo, X Luo, Z Qiao, J Ma 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 2 | 2022 |
| SG-Net: Semantic Guided Network for Image Dehazing T Hong, X Guo, Z Zhang, J Ma Asian Conference on Computer Vision, 274-289, 2022 | 1 | 2022 |
| ITMix: Image-Text Mix Augmentation for Transferring CLIP to Image Classification T Hong, X Guo, J Ma 2022 16th IEEE International Conference on Signal Processing (ICSP) 1, 129-133, 2022 | 1 | 2022 |
| Automatic Model Selection Algorithm Based on BYY Harmony Learning for Mixture of Gaussian Process Functional Regressions Models X Guo, T Hong, J Ma International Conference on Intelligent Computing, 391-403, 2023 | | 2023 |
| Federated Sparse Gaussian Processes X Guo, D Wu, J Ma International Conference on Intelligent Computing, 267-276, 2022 | | 2022 |
| NSF-Based Mixture of Gaussian Processes and Its Variational EM Algorithm X Guo, D Wu, T Hong, J Ma Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | | 2021 |
| News Topic Discovery Through Community Detection D Wu, X Guo, J Ma 2019 IEEE International Conference on Signal, Information and Data …, 2019 | | 2019 |
