| 2022 | ACL | IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. | Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si |
| 2022 | ACL | Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation. | Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng |
| 2022 | ACL | MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. | Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao |
| 2022 | COLING | Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning. | Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng |
| 2022 | EMNLP | Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples. | Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si |
| 2021 | ACL | Bootstrapped Unsupervised Sentence Representation Learning. | Yan Zhang, Ruidan He, Zuozhu Liu, Lidong Bing, Haizhou Li |
| 2021 | ACL | On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. | Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si |
| 2021 | EMNLP | Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching. | Wenxuan Zhang, Ruidan He, Haiyun Peng, Lidong Bing, Wai Lam |
| 2020 | EMNLP | Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training. | Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing |
| 2020 | EMNLP | An Unsupervised Sentence Embedding Method by Mutual Information Maximization. | Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing |
| 2020 | IJCAI | Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. | Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan |
| 2019 | ACL | An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
| 2018 | ACL | Exploiting Document Knowledge for Aspect-level Sentiment Classification. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
| 2018 | COLING | Effective Attention Modeling for Aspect-Level Sentiment Classification. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
| 2018 | EMNLP | Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
| 2017 | ACL | An Unsupervised Neural Attention Model for Aspect Extraction. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |