Deep learning on knowledge graph for recommender system: A survey Y Gao, YF Li, Y Lin, H Gao, L Khan arXiv preprint arXiv:2004.00387, 2020 | 70 | 2020 |
SACCOS: A semi-supervised framework for emerging class detection and concept drift adaption over data streams Y Gao, S Chandra, Y Li, L Khan, T Bhavani IEEE Transactions on Knowledge and Data Engineering 34 (3), 1416-1426, 2020 | 46 | 2020 |
Multistream Classification for Cyber Threat Data with Heterogeneous Feature Space YF Li, Y Gao, G Ayoade, H Tao, L Khan, B Thuraisingham The World Wide Web Conference, 2992-2998, 2019 | 32 | 2019 |
Attention-based spatial guidance for image-to-image translation Y Lin, Y Wang, Y Li, Y Gao, Z Wang, L Khan Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 29 | 2021 |
Towards Self-Adaptive Metric Learning On the Fly Y Gao, YF Li, S Chandra, L Khan, B Thuraisingham The World Wide Web Conference, 503-513, 2019 | 27 | 2019 |
Conflict forecasting with event data and spatio-temporal graph convolutional networks PT Brandt, V D’Orazio, L Khan, YF Li, J Osorio, M Sianan International Interactions 48 (4), 800-822, 2022 | 22 | 2022 |
SetConv: A new approach for learning from imbalanced data Y Gao, YF Li, Y Lin, C Aggarwal, L Khan arXiv preprint arXiv:2104.06313, 2021 | 18 | 2021 |
Multistream regression with asynchronous concept drift detection B Dong, Y Li, Y Gao, A Haque, L Khan, MM Masud 2017 IEEE International Conference on Big Data (Big Data), 596-605, 2017 | 14 | 2017 |
Single view point cloud generation via unified 3D prototype Y Lin, Y Wang, YF Li, Z Wang, Y Gao, L Khan Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2064-2072, 2021 | 11 | 2021 |
Sim: Open-world multi-task stream classifier with integral similarity metrics Y Gao, YF Li, B Dong, Y Lin, L Khan 2019 IEEE International Conference on Big Data (Big Data), 751-760, 2019 | 11 | 2019 |
Comc: A framework for online cross-domain multistream classification H Tao, Z Wang, Y Li, M Zamani, L Khan 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 11 | 2019 |
Time series forecasting using a unified spatial-temporal graph convolutional network YF Li, Y Gao, Y Lin, Z Wang, L Khan Proceedings of Preregister Workshop in 34th Conference on Neural Information …, 2020 | 10 | 2020 |
Detrending daily natural gas demand data using domain knowledge RH Brown, Y Li, B Pang, S Vitullo, GF Corliss International Institute of Forecasters, 2010 | 9 | 2010 |
Generating point cloud from single image in the few shot scenario Y Lin, J Guo, Y Gao, Y Li, Z Wang, L Khan Proceedings of the 29th ACM international conference on multimedia, 2834-2842, 2021 | 7 | 2021 |
Data-driven time series forecasting for social studies using spatio-temporal graph neural networks YF Li, B Dong, L Khan, B Thuraisingham, PT Brandt, VJ D'Orazio Proceedings of the Conference on Information Technology for Social Good, 61-66, 2021 | 4 | 2021 |
Cross-domain sentiment classification with attention-assisted gan YF Li, Y Lin, Y Gao, L Khan 2021 IEEE Third International Conference on Cognitive Machine Intelligence …, 2021 | 3 | 2021 |
Unified Spatio-Temporal Graph Neural Networks: Data-Driven Modeling for Social Science Y Li, Y Lin, Y Gao, L Khan 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 1 | 2022 |
Heterogeneous Domain Adaptation for Multistream Classification on Cyber Threat Data YF Li, Y Gao, G Ayoade, L Khan, A Singhal, B Thuraisingham IEEE Transactions on Dependable and Secure Computing 21 (1), 1-11, 2022 | 1 | 2022 |
A Simple, Effective and Extendible Approach to Deep Multi-task Learning Y Gao, YF Li, Y Lin, H Tao, L Khan 2020 IEEE International Conference on Big Data (Big Data), 924-929, 2020 | 1 | 2020 |
Unsupervised Perturbation based Self-Supervised Adversarial Training Z Wang, Y Lin, YF Li, F Mi, Z Tian, L Khan, B Thuraisingham 2021 7th IEEE Intl Conference on Big Data Security on Cloud (BigDataSecurity …, 2021 | | 2021 |