| Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery J Camilo, R Wang, LM Collins, K Bradbury, JM Malof arXiv preprint arXiv:1801.04018, 2018 | 54 | 2018 |
| Few-Shot Class-Incremental Learning for Named Entity Recognition R Wang, T Yu, H Zhao, S Kim, S Mitra, R Zhang, R Henao Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 32 | 2022 |
| The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection R Wang, J Camilo, LM Collins, K Bradbury, JM Malof 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-8, 2017 | 30 | 2017 |
| Students need more attention: Bert-based attention model for small data with application to automatic patient message triage S Si, R Wang, J Wosik, H Zhang, D Dov, G Wang, L Carin Machine Learning for Healthcare Conference, 436-456, 2020 | 27 | 2020 |
| Unsupervised Paraphrasing Consistency Training for Low Resource Named Entity Recognition R Wang, R Henao Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 16 | 2021 |
| Infoprompt: Information-theoretic soft prompt tuning for natural language understanding J Wu, T Yu, R Wang, Z Song, R Zhang, H Zhao, C Lu, S Li, R Henao Advances in Neural Information Processing Systems 36, 2024 | 13 | 2024 |
| Toward fairness in text generation via mutual information minimization based on importance sampling R Wang, P Cheng, R Henao International Conference on Artificial Intelligence and Statistics, 4473-4485, 2023 | 10 | 2023 |
| Semisupervised adversarial discriminative domain adaptation, with application to remote sensing data R Wang, LM Collins, K Bradbury, JM Malof IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, 2018 | 7 | 2018 |
| Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning R Wang, S Si, G Wang, L Zhang, L Carin, R Henao Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 6 | 2020 |
| VU-BERT: a unified framework for visual dialog T Ye, S Si, J Wang, R Wang, N Cheng, J Xiao ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| Context-Aware Information-Theoretic Causal De-biasing for Interactive Sequence Labeling J Wu*, R Wang*, T Yu, R Zhang, H Zhao, S Li, R Henao, A Nenkova Findings of the Association for Computational Linguistics: EMNLP 2022, 3436-3448, 2022 | 4 | 2022 |
| Discriminative clustering for robust unsupervised domain adaptation R Wang, G Wang, R Henao arXiv preprint arXiv:1905.13331, 2019 | 4 | 2019 |
| Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets R Wang, T Yu, J Wu, H Zhao, S Kim, R Zhang, S Mitra, R Henao Findings of the Association for Computational Linguistics: ACL 2023, 7449-7463, 2023 | 3 | 2023 |
| Few-Shot Composition Learning for Image Retrieval with Prompt Tuning J Wu*, R Wang*, H Zhao, R Zhang, C Lu, S Li, R Henao Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4729-4737, 2023 | 2 | 2023 |
| Wasserstein uncertainty estimation for adversarial domain matching R Wang, R Zhang, R Henao Frontiers in big Data 5, 878716, 2022 | 2 | 2022 |
| Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images D Dov, S Assaad, S Si, R Wang, H Xu, SZ Kovalsky, J Bell, DE Range, ... Proceedings of the Conference on Health, Inference, and Learning, 14-24, 2021 | 2 | 2021 |
| Beyond chain-of-thought: A survey of chain-of-x paradigms for llms Y Xia, R Wang, X Liu, M Li, T Yu, X Chen, J McAuley, S Li arXiv preprint arXiv:2404.15676, 2024 | 1 | 2024 |
| Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach C Huang, R Wang, K Xie, T Yu, L Yao arXiv preprint arXiv:2404.03514, 2024 | 1 | 2024 |
| Wasserstein Cross-Lingual Alignment For Named Entity Recognition R Wang, R Henao ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
| Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning R Wang, T Yu, R Zhang, S Kim, R Rossi, H Zhao, J Wu, S Mitra, L Yao, ... Findings of the Association for Computational Linguistics: NAACL 2024, 4597-4612, 2024 | | 2024 |
