| Flexible pH‐sensing hydrogel fibers for epidermal applications A Tamayol, M Akbari, Y Zilberman, M Comotto, E Lesha, L Serex, ... Advanced healthcare materials 5 (6), 711-719, 2016 | 206 | 2016 |
| Low cost smart phone diagnostics for food using paper-based colorimetric sensor arrays Y Chen, G Fu, Y Zilberman, W Ruan, SK Ameri, YS Zhang, E Miller, ... Food Control 82, 227-232, 2017 | 120 | 2017 |
| Seqvat: Virtual adversarial training for semi-supervised sequence labeling L Chen, W Ruan, X Liu, J Lu Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 102 | 2020 |
| Towards an ASR error robust spoken language understanding system W Ruan, Y Nechaev, L Chen, C Su, I Kiss | 61 | 2020 |
| Enhance robustness of sequence labelling with masked adversarial training L Chen, X Liu, W Ruan, J Lu Findings of the Association for Computational Linguistics: EMNLP 2020, 297-302, 2020 | 53 | 2020 |
| ASR n-best fusion nets X Liu, M Li, L Chen, P Wanigasekara, W Ruan, H Khan, W Hamza, C Su ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 48 | 2021 |
| Improving spoken language understanding by exploiting asr n-best hypotheses M Li, W Ruan, X Liu, L Soldaini, W Hamza, C Su arXiv preprint arXiv:2001.05284, 2020 | 22 | 2020 |
| Disposable colorimetric geometric barcode sensor for food quality monitoring Y Chen, G Fu, Y Zilberman, W Ruan, SK Ameri, E Miller, S Sonkusale 2017 19th International Conference on Solid-State Sensors, Actuators and …, 2017 | 15 | 2017 |
| Thermo-mechanically trained shape memory alloy for temperature recording with visual readout W Wang, W Zeng, W Ruan, E Miller, S Sonkusale IEEE Sensors Letters 5 (1), 1-4, 2020 | 11 | 2020 |
| Multiple output Gaussian process regression algorithm for multi-frequency scattered data interpolation W Ruan, AB Milstein, W Blackwell, EL Miller 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 9 | 2017 |
| Multi-task learning of spoken language understanding by integrating n-best hypotheses with hierarchical attention M Li, X Liu, W Ruan, L Soldaini, W Hamza, C Su Proceedings of the 28th International Conference on Computational …, 2020 | 7 | 2020 |
| On the use of Gaussian random processes for probabilistic interpolation of cubesat data in the presence of geolocation error W Ruan, AB Milstein, W Blackwell, EL Miller IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 6 | 2016 |
| Adaptive global-local context fusion for multi-turn spoken language understanding T Tran, K Wei, W Ruan, R McGowan, N Susanj, GP Strimel Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12622 …, 2022 | 5 | 2022 |
| Towards NLU model robustness to ASR errors at scale Y Nechaev, W Ruan, I Kiss | 5 | 2021 |
| Semantic vl-bert: Visual grounding via attribute learning P Wanigasekara, K Qin, E Barut, F Yang, W Ruan, C Su 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 4 | 2022 |
| Ensemble multi-task Gaussian process regression with multiple latent processes W Ruan, EL Miller arXiv preprint arXiv:1709.07903, 2017 | 4 | 2017 |
| A Probabilistic Analysis of Positional Errors on Satellite Remote Sensing Data Using Scattered Interpolation W Ruan, AB Milstein, W Blackwell, EL Miller IEEE Geoscience and Remote Sensing Letters 14 (6), 861-865, 2017 | 4 | 2017 |
| pH‐Sensing Hydrogel Fibers: Flexible pH‐Sensing Hydrogel Fibers for Epidermal Applications (Adv. Healthcare Mater. 6/2016) A Tamayol, M Akbari, Y Zilberman, M Comotto, E Lesha, L Serex, ... Advanced Healthcare Materials 5 (6), 624-624, 2016 | 4 | 2016 |
| Sparse representation based hyperspectral imagery classification via expanded dictionary L He, W Ruan, Y Li 2012 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2012 | 2 | 2012 |
| Contextual domain classification with temporal representations TH Lin, Y Shi, C Ye, Y Fan, W Ruan, E Barut, W Hamza, C Su Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 1 | 2021 |
