| In-plane shape-deviation modeling and compensation for fused deposition modeling processes A Wang, S Song, Q Huang, F Tsung IEEE Transactions on Automation Science and Engineering 14 (2), 968-976, 2016 | 88 | 2016 |
| Statistical surface monitoring by spatial-structure modeling A Wang, K Wang, F Tsung Journal of Quality Technology 46 (4), 359-376, 2014 | 53 | 2014 |
| A prediction and compensation scheme for in-plane shape deviation of additive manufacturing with information on process parameters L Cheng, A Wang, F Tsung IISE Transactions 50 (5), 394-406, 2018 | 50 | 2018 |
| A nonparametric adaptive sampling strategy for online monitoring of big data streams X Xian, A Wang, K Liu Technometrics 60 (1), 14-25, 2018 | 49 | 2018 |
| A statistical transfer learning perspective for modeling shape deviations in additive manufacturing L Cheng, F Tsung, A Wang IEEE Robotics and Automation Letters 2 (4), 1988-1993, 2017 | 48 | 2017 |
| Shape deviation modeling for fused deposition modeling processes S Song, A Wang, Q Huang, F Tsung 2014 IEEE International Conference on Automation Science and Engineering …, 2014 | 44 | 2014 |
| A spatial-adaptive sampling procedure for online monitoring of big data streams A Wang, X Xian, F Tsung, K Liu Journal of Quality Technology 50 (4), 329-343, 2018 | 42 | 2018 |
| SGL-PCA: Health index construction with sensor sparsity and temporal monotonicity for mixed high-dimensional signals F Wang, A Wang, T Tang, J Shi IEEE Transactions on Automation Science and Engineering 20 (1), 372-384, 2022 | 16 | 2022 |
| Additive tensor decomposition considering structural data information S Mou, A Wang, C Zhang, J Shi IEEE Transactions on Automation Science and Engineering 19 (4), 2904-2917, 2021 | 16 | 2021 |
| Holistic modeling and analysis of multistage manufacturing processes with sparse effective inputs and mixed profile outputs A Wang, J Shi IISE Transactions 53 (5), 582-596, 2021 | 14 | 2021 |
| Adaptive cautious regularized run-to-run controller for lithography process Z Zhong, A Wang, H Kim, K Paynabar, J Shi IEEE Transactions on Semiconductor Manufacturing 34 (3), 387-397, 2021 | 12 | 2021 |
| Multiple event identification and characterization by retrospective analysis of structured data streams A Wang, TS Chang, J Shi IISE Transactions 54 (9), 908-921, 2022 | 6 | 2022 |
| Structural tensor-on-tensor regression with interaction effects and its application to a hot rolling process H Miao, A Wang, B Li, J Shi Journal of Quality Technology 54 (5), 547-560, 2022 | 5 | 2022 |
| A unified probabilistic framework for spatiotemporal passenger crowdedness inference within urban rail transit network M Jiang, A Wang, Z Li, F Tsung 2023 IEEE 19th International Conference on Automation Science and …, 2023 | 4 | 2023 |
| Process modeling with multi-level categorical inputs via variable selection and level aggregation H Miao, A Wang, B Li, TS Chang, J Shi IISE Transactions 55 (4), 363-376, 2023 | 3 | 2023 |
| Ranking features to promote diversity: An approach based on sparse distance correlation A Wang, J Du, X Zhang, J Shi Technometrics 64 (3), 384-395, 2022 | 3 | 2022 |
| Tensor dirichlet process multinomial mixture model for passenger trajectory clustering Z Li, H Yan, C Zhang, A Wang, W Ketter, L Sun, F Tsung arXiv preprint arXiv:2306.13794, 2023 | 2 | 2023 |
| Adaptive sampling and quick anomaly detection in large networks X Xian, A Semenov, Y Hu, A Wang, Y Jin IEEE Transactions on Automation Science and Engineering, 2022 | 2 | 2022 |
| A product-oriented synchronization and effective information extraction of continuous streaming data for relationship mining in a hot rolling process H Miao, A Wang, TS Chang, J Shi Journal of Manufacturing Science and Engineering 144 (8), 081012, 2022 | 2 | 2022 |
| Applications and prospects of machine learning for aerosol jet printing: A review S Guo, H Ko, A Wang IISE Transactions, 1-20, 2023 | 1 | 2023 |
