Rui Wang

According to our database, Rui Wang authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Efficient low-Resource Training with pre-trained Deep Neural Networks.

Rui Wang

PhD thesis, 2023

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding.

Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao

CoRR, 2023

Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling.

Rui Wang, Pengyu Cheng, Ricardo Henao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets.

Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Few-Shot Composition Learning for Image Retrieval with Prompt Tuning.

Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Wasserstein Uncertainty Estimation for Adversarial Domain Matching.

Rui Wang, Ruiyi Zhang, Ricardo Henao

Frontiers Big Data, 2022

Wasserstein Cross-Lingual Alignment For Named Entity Recognition.

Rui Wang, Ricardo Henao

Proceedings of the IEEE International Conference on Acoustics, 2022

Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling.

Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Few-Shot Class-Incremental Learning for Named Entity Recognition.

Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Unsupervised Paraphrasing Consistency Training for Low Resource Named Entity Recognition.

Rui Wang, Ricardo Henao

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images.

David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen, Ricardo Henao, Lawrence Carin

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage.

Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin

CoRR, 2020

Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning.

Rui Wang, Shijing Si, Guoyin Wang, Lei Zhang, Lawrence Carin, Ricardo Henao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Discriminative Clustering for Robust Unsupervised Domain Adaptation.

Rui Wang, Guoyin Wang, Ricardo Henao

CoRR, 2019