| Fusion: An online method for multistream classification A Haque, Z Wang, S Chandra, B Dong, L Khan, KW Hamlen Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 52 | 2017 |
| Robust high dimensional stream classification with novel class detection Z Wang, Z Kong, S Changra, H Tao, L Khan 2019 IEEE 35th international conference on data engineering (ICDE), 1418-1429, 2019 | 43 | 2019 |
| VSCL: automating vulnerability detection in smart contracts with deep learning F Mi, Z Wang, C Zhao, J Guo, F Ahmed, L Khan 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-9, 2021 | 39 | 2021 |
| 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 | 25 | 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 | 23 | 2021 |
| Adaptive margin based deep adversarial metric learning Z Wang, Y Wang, B Dong, S Pracheta, K Hamlen, L Khan 2020 IEEE 6th Intl Conference on Big Data Security on Cloud (BigDataSecurity …, 2020 | 20 | 2020 |
| 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 | 19 | 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 |
| A new finger-knuckle-print ROI extraction method based on Two-stage center point detection H Yu, G Yang, Z Wang, L Zhang International Journal of Signal Processing, Image Processing and Pattern …, 2015 | 17 | 2015 |
| 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 | 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 |
| A primal-dual subgradient approach for fair meta learning C Zhao, F Chen, Z Wang, L Khan 2020 IEEE International Conference on Data Mining (ICDM), 821-830, 2020 | 15 | 2020 |
| Comparative anatomical and transcriptomic insights into Vaccinium corymbosum flower bud and fruit throughout development L Yang, L Liu, Z Wang, Y Zong, L Yu, Y Li, F Liao, M Chen, K Cai, W Guo BMC Plant Biology 21 (1), 289, 2021 | 13 | 2021 |
| Contextual rephrase detection for reducing friction in dialogue systems Z Wang, S Gupta, J Hao, X Fan, D Li, AH Li, C Guo Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 10 | 2021 |
| 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 | 10 | 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 |
| 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 | 8 | 2020 |
| Metric learning based framework for streaming classification with concept evolution Z Wang, H Tao, Z Kong, S Chandra, L Khan 2019 international joint conference on neural networks (IJCNN), 1-8, 2019 | 7 | 2019 |
| Pyogenic liver abscess related to intrahepatic bile duct stones: Difficulties in infectious control and diagnosis of concomitant cholangiocarcinoma S Shi, X Feng, Z Wang, K Sun, J Xu, H Kong, S Zheng Journal of Gastroenterology and Hepatology 33 (5), 1092-1099, 2018 | 7 | 2018 |
| Sampling-based distributed kernel mean matching using spark A Haque, Z Wang, S Chandra, Y Gao, L Khan, C Aggarwal 2016 IEEE International Conference on Big Data (Big Data), 462-471, 2016 | 7 | 2016 |
Latifur KhanProfessor, University of Texas at Dallas在 utdallas.edu 的电子邮件经过验证
