| Data boost: Text data augmentation through reinforcement learning guided conditional generation R Liu, G Xu, C Jia, W Ma, L Wang, S Vosoughi EMNLP 2020, 2020 | 117 | 2020 |
| Mitigating political bias in language models through reinforced calibration R Liu, C Jia, J Wei, G Xu, L Wang, S Vosoughi AAAI 2021 35 (17), 14857-14866, 2021 | 110 | 2021 |
| An empirical survey of unsupervised text representation methods on twitter data L Wang, C Gao, J Wei, W Ma, R Liu, S Vosoughi W-NUT @ EMNLP 2020, 2020 | 28 | 2020 |
| Embedding heterogeneous networks into hyperbolic space without meta-path L Wang, C Gao, C Huang, R Liu, W Ma, S Vosoughi AAAI 2021, 2021 | 27 | 2021 |
| Emoji prediction: Extensions and benchmarking W Ma, R Liu, L Wang, S Vosoughi WISDOM @ KDD 2020, 2020 | 24 | 2020 |
| Political Depolarization of News Articles Using Attribute-aware Word Embeddings R Liu, L Wang, C Jia, S Vosoughi AAAI ICWSM 2021, 2021 | 22 | 2021 |
| Measuring sleep quality from EEG with machine learning approaches LL Wang, WL Zheng, HW Ma, BL Lu 2016 International Joint Conference on Neural Networks (IJCNN), 905-912, 2016 | 20 | 2016 |
| A constituent syntactic parse tree based discourse parser Z Li, H Zhao, C Pang, L Wang, H Wang Proceedings of the CoNLL-16 shared task, 60-64, 2016 | 19 | 2016 |
| Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization L Wang, C Huang, W Ma, X Cao, S Vosoughi CIKM 2021, 2021 | 17 | 2021 |
| Deciphering stereotypes in pre-trained language models W Ma, H Scheible, B Wang, G Veeramachaneni, P Chowdhary, A Sun, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 16 | 2023 |
| Embedding node structural role identity into hyperbolic space L Wang, Y Lu, C Huang, S Vosoughi Proceedings of the 29th ACM International Conference on Information …, 2020 | 15 | 2020 |
| Contributions of Transformer Attention Heads in Multi-and Cross-lingual Tasks W Ma, K Zhang, R Lou, L Wang, S Vosoughi ACL 2021, 2021 | 13 | 2021 |
| Dynamic structural role node embedding for user modeling in evolving networks L Wang, C Huang, Y Lu, W Ma, R Liu, S Vosoughi ACM Transactions on Information Systems (TOIS) 40 (3), 1-21, 2021 | 12 | 2021 |
| Multi-resolution annotations for emoji prediction W Ma, R Liu, L Wang, S Vosoughi Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 11 | 2020 |
| Hyperbolic node embedding for temporal networks L Wang, C Huang, W Ma, R Liu, S Vosoughi Data Mining and Knowledge Discovery 35 (5), 1906-1940, 2021 | 10 | 2021 |
| GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks W Ma, R Lou, K Zhang, L Wang, S Vosoughi EMNLP 2021, 2021 | 9 | 2021 |
| Intersectional stereotypes in large language models: Dataset and analysis W Ma, B Chiang, T Wu, L Wang, S Vosoughi Findings of the Association for Computational Linguistics: EMNLP 2023, 8589-8597, 2023 | 7 | 2023 |
| EnCBP: A new benchmark dataset for finer-grained cultural background prediction in English W Ma, S Datta, L Wang, S Vosoughi Findings of the ACL 2022, 2022 | 6 | 2022 |
| Towards improved model design for authorship identification: A survey on writing style understanding W Ma, R Liu, L Wang, S Vosoughi arXiv preprint arXiv:2009.14445, 2020 | 6 | 2020 |
| Learning Dynamic Graph Embeddings Using Random Walk With Temporal Backtracking C Huang, L Wang, X Cao, W Ma, S Vosoughi NeurIPS 2022 Temporal Graph Learning Workshop, 2022 | 5 | 2022 |
Soroush VosoughiAssistant Professor of Computer Science, Dartmouth. Ex Postdoc/PhD at MIT. Ex fellow at HarvardПодтвержден адрес электронной почты в домене mit.edu
