Obserwuj
Yifan Li
Tytuł
Cytowane przez
Cytowane przez
Rok
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
612020
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
332020
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
302019
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
262019
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
222021
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
162021
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
122017
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
112022
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
92020
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
92019
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
92019
Detrending daily natural gas demand data using domain knowledge
RH Brown, Y Li, B Pang, S Vitullo, GF Corliss
International Institute of Forecasters, 2010
92010
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
82021
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
52021
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
42021
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
22021
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, 2022
12022
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
12020
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
2022
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
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