Graph spatiotemporal process for multivariate time series anomaly detection with missing values Y Zheng, HY Koh, M Jin, L Chi, H Wang, KT Phan, YPP Chen, S Pan, ... Information Fusion 106, 102255, 2024 | 3 | 2024 |
Coresets for fast causal discovery with the additive noise model B Zhao, S Wang, L Chi, H Yuan, Y Yuan, Q Li, J Geng, SL Zhang Pattern Recognition 148, 110149, 2024 | 2 | 2024 |
Design and Robust Evaluation of Next Generation Node Authentication Approach DDN Nguyen, K Sood, Y Xiang, L Gao, L Chi, G Singh, S Yu IEEE Transactions on Dependable and Secure Computing, 2024 | 1 | 2024 |
Validating Siamese embedded neural networks with identical representations for efficient model convergence MH Talbo, H Wang, L Chi, YPP Chen Knowledge-Based Systems 286, 111379, 2024 | | 2024 |
Correlation-aware spatial–temporal graph learning for multivariate time-series anomaly detection Y Zheng, HY Koh, M Jin, L Chi, KT Phan, S Pan, YPP Chen, W Xiang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 13 | 2023 |
Dual-branch cross-dimensional self-attention-based imputation model for multivariate time series L Fang, W Xiang, Y Zhou, J Fang, L Chi, Z Ge Knowledge-Based Systems 279, 110896, 2023 | | 2023 |
ex-vit: A novel explainable vision transformer for weakly supervised semantic segmentation L Yu, W Xiang, J Fang, YPP Chen, L Chi Pattern Recognition 142, 109666, 2023 | 18 | 2023 |
Privacy-preserving quantum two-party geometric intersection WJ Liu, Y Xu, JCN Yang, WB Yu, LH Chi arXiv preprint arXiv:2309.12605, 2023 | 16 | 2023 |
Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning A Ahmad, VL Chau, A Robles-Kelly, S Gao, L Gao, L Chi, W Luo 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 1 | 2023 |
HANM: Hierarchical Additive Noise Model for Many-to-One Causality Discovery B Zhao, S Wang, L Chi, C Zhao, H Yuan, Q Li, X Liu, J Geng, Y Yuan IEEE Transactions on Knowledge and Data Engineering 35 (12), 12708-12720, 2023 | | 2023 |
Causal discovery via causal star graphs B Zhao, S Wang, L Chi, Q Li, X Liu, J Geng ACM Transactions on Knowledge Discovery from Data 17 (7), 1-24, 2023 | 2 | 2023 |
Privacy and accuracy for cloud-fog-edge collaborative driver-vehicle-road relation graphs Z Cui, Z Lu, LT Yang, J Yu, L Chi, Y Xiao, S Zhang IEEE Transactions on Intelligent Transportation Systems 24 (8), 8749-8761, 2023 | 10 | 2023 |
Casting plate defect detection using motif discovery with minimal model training and small data sets AS Bhatia, R Kotorov, L Chi Journal of Intelligent Manufacturing 34 (4), 1731-1742, 2023 | 10 | 2023 |
Toward IoT node authentication mechanism in next generation networks DDN Nguyen, K Sood, Y Xiang, L Gao, L Chi, S Yu IEEE Internet of Things Journal 10 (15), 13333-13341, 2023 | 11 | 2023 |
Mirror: Mining implicit relationships via structure-enhanced graph convolutional networks J Liu, F Xia, J Ren, B Xu, G Pang, L Chi ACM Transactions on Knowledge Discovery from Data 17 (4), 1-24, 2023 | 4 | 2023 |
Deepmnf: Deep multimodal neuroimaging framework for diagnosing autism spectrum disorder SQ Abbas, L Chi, YPP Chen Artificial Intelligence in Medicine 136, 102475, 2023 | 10 | 2023 |
Transformed domain convolutional neural network for Alzheimer's disease diagnosis using structural MRI SQ Abbas, L Chi, YPP Chen Pattern Recognition 133, 109031, 2023 | 38 | 2023 |
Impersonation attack detection in IoT networks DDN Nguyen, K Sood, Y Xiang, L Gao, L Chi GLOBECOM 2022-2022 IEEE Global Communications Conference, 6061-6066, 2022 | 6 | 2022 |
An interpretable deep embedding model for few and imbalanced biomedical data H Wang, J Yang, G Tao, J Ma, L Chi, J Wu, Z Zhao IEEE Journal of Biomedical and Health Informatics, 2022 | 1 | 2022 |
ASDPred: An End-to-End Autism Screening Framework Using Few-Shot Learning H Wang, L Chi, Z Zhao Proceedings of the 31st ACM international conference on information …, 2022 | 3 | 2022 |