| 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 | 61 | 2020 |
| MultiCon: a semi-supervised approach for predicting drug function from chemical structure analysis P Sahoo, I Roy, Z Wang, F Mi, L Yu, P Balasubramani, L Khan, ... Journal of Chemical Information and Modeling 60 (12), 5995-6006, 2020 | 23 | 2020 |
| 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 | 22 | 2021 |
| Clear: Contrastive-prototype learning with drift estimation for resource constrained stream mining Z Wang, Y Chen, C Zhao, Y Lin, X Zhao, H Tao, Y Wang, L Khan Proceedings of the Web Conference 2021, 1351-1362, 2021 | 18 | 2021 |
| Few-sample and adversarial representation learning for continual stream mining Z Wang, Y Wang, Y Lin, E Delord Proceedings of The Web Conference 2020, 718-728, 2020 | 17 | 2020 |
| 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 | 16 | 2021 |
| Co-representation learning framework for the open-set data classification Z Wang, B Dong, Y Lin, Y Wang, MS Islam, L Khan 2019 IEEE International Conference on Big Data (Big Data), 239-244, 2019 | 16 | 2019 |
| Cifdm: continual and interactive feature distillation for multi-label stream learning Y Wang, Z Wang, Y Lin, L Khan, D Li Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 14 | 2021 |
| Forecasting conflict in africa with automated machine learning systems V D’Orazio, Y Lin International Interactions 48 (4), 714-738, 2022 | 13 | 2022 |
| 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 | 9 | 2020 |
| 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 | 9 | 2019 |
| 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 | 8 | 2021 |
| 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 | 5 | 2021 |
| Controllable fake document infilling for cyber deception Y Hu, Y Lin, ES Parolin, L Khan, K Hamlen arXiv preprint arXiv:2210.09917, 2022 | 4 | 2022 |
| 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 | 2 | 2021 |
| Prediction of plantar shear stress distribution by conditional gan with attention mechanism J Guo, A Ersen, Y Gao, Y Lin, L Khan, M Yavuz Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 2 | 2020 |
| Dual Contrastive Learning Framework for Incremental Text Classification Y Wang, Z Wang, Y Lin, J Guo, S Halim, L Khan Findings of the Association for Computational Linguistics: EMNLP 2023, 194-206, 2023 | 1 | 2023 |
| 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 |
| 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 |
| Enhancing Point Cloud Generation From Various Information Sources by Applying Geometry-aware Folding Operation Y Lin | | 2022 |
Latifur KhanProfessor, University of Texas at DallasZweryfikowany adres z utdallas.edu
