| Toward a foundation model for time series data CCM Yeh, X Dai, H Chen, Y Zheng, Y Fan, A Der, V Lai, Z Zhuang, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 24 | 2023 |
| Embedding compression with hashing for efficient representation learning in large-scale graph CCM Yeh, M Gu, Y Zheng, H Chen, J Ebrahimi, Z Zhuang, J Wang, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 22 | 2022 |
| Redoop infrastructure for recurring big data queries C Lei, Z Zhuang, EA Rundensteiner, MY Eltabakh Proceedings of the VLDB Endowment 7 (13), 1589-1592, 2014 | 18 | 2014 |
| Merchant category identification using credit card transactions CCM Yeh, Z Zhuang, Y Zheng, L Wang, J Wang, W Zhang 2020 IEEE International Conference on Big Data (Big Data), 1736-1744, 2020 | 15 | 2020 |
| Shared execution of recurring workloads in MapReduce C Lei, Z Zhuang, EA Rundensteiner, M Eltabakh Proceedings of the VLDB Endowment 8 (7), 714-725, 2015 | 15 | 2015 |
| Error-bounded approximate time series joins using compact dictionary representations of time series CCM Yeh, Y Zheng, J Wang, H Chen, Z Zhuang, W Zhang, E Keogh Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 13 | 2022 |
| Machine learning systems and methods for attributed sequences Z Zhuang, A Arora, J Zouaoui, X Kong, E Rundensteiner US Patent App. 16/057,025, 2020 | 13 | 2020 |
| Attributed sequence embedding Z Zhuang, X Kong, R Elke, J Zouaoui, A Arora 2019 IEEE International Conference on Big Data (Big Data), 1723-1728, 2019 | 12 | 2019 |
| Towards a flexible embedding learning framework CCM Yeh, D Gelda, Z Zhuang, Y Zheng, L Gou, W Zhang 2020 International Conference on Data Mining Workshops (ICDMW), 605-612, 2020 | 8 | 2020 |
| Interpretable debiasing of vectorized language representations with iterative orthogonalization PO Aboagye, Y Zheng, J Shunn, CCM Yeh, J Wang, Z Zhuang, H Chen, ... International Conference on Learning Representations, 2023 | 7 | 2023 |
| One-shot learning on attributed sequences Z Zhuang, X Kong, E Rundensteiner, A Arora, J Zouaoui 2018 IEEE International Conference on Big Data (Big Data), 921-930, 2018 | 7 | 2018 |
| Perfsig: extracting performance bug signatures via multi-modality causal analysis J He, Y Lin, X Gu, CCM Yeh, Z Zhuang Proceedings of the 44th International Conference on Software Engineering …, 2022 | 6 | 2022 |
| Constrained non-affine alignment of embeddings Y Wang, Y Zheng, Y Peng, M Yeh, Z Zhuang, D Mahashweta, B Mangesh, ... 2021 IEEE International Conference on Data Mining (ICDM), 1403-1408, 2021 | 6 | 2021 |
| Quantized wasserstein procrustes alignment of word embedding spaces PO Aboagye, Y Zheng, M Yeh, J Wang, Z Zhuang, H Chen, L Wang, ... arXiv preprint arXiv:2212.02468, 2022 | 5 | 2022 |
| AMAS: Attention Model for Attributed Sequence Classification Z Zhuang, X Kong, E Rundensteiner Proceedings of the 2019 SIAM International Conference on Data Mining, 109-117, 2019 | 5 | 2019 |
| Sketching multidimensional time series for fast discord mining CCM Yeh, Y Zheng, M Pan, H Chen, Z Zhuang, J Wang, L Wang, ... 2023 IEEE International Conference on Big Data (BigData), 443-452, 2023 | 4 | 2023 |
| Online multi-horizon transaction metric estimation with multi-modal learning in payment networks CCM Yeh, Z Zhuang, J Wang, Y Zheng, J Ebrahimi, R Mercer, L Wang, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 4 | 2021 |
| Time series synthesis using the matrix profile for anonymization A Der, CCM Yeh, Y Zheng, J Wang, H Chen, Z Zhuang, L Wang, W Zhang, ... 2023 IEEE International Conference on Big Data (BigData), 1908-1911, 2023 | 3 | 2023 |
| Ego-network transformer for subsequence classification in time series data CCM Yeh, H Chen, Y Fan, X Dai, Y Zheng, V Lai, J Wang, Z Zhuang, ... 2023 IEEE International Conference on Big Data (BigData), 1242-1247, 2023 | 3 | 2023 |
| Multitask Learning for Time Series Data with 2D Convolution CCM Yeh, X Dai, Y Zheng, J Wang, H Chen, Y Fan, A Der, Z Zhuang, ... 2023 International Conference on Machine Learning and Applications (ICMLA), 9-16, 2023 | 3 | 2023 |
Elke RundensteinerThe William Smith Dean's Professor, Computer Science; Founding Head, Data Science Program; Worcester在 wpi.edu 的电子邮件经过验证
