| 2024 | EMNLP | Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. | Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen |
| 2023 | EACL | Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions. | Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei |
| 2023 | EMNLP | CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering. | Donghan Yu, Yu Gu, Chenyan Xiong, Yiming Yang |
| 2023 | ICLR | DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. | Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang |
| 2023 | SIGIR | Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion. | Donghan Yu, Yiming Yang |
| 2022 | AAAI | JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. | Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng |
| 2022 | ACL | Dict-BERT: Enhancing Language Model Pre-training with Dictionary. | Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang |
| 2022 | ACL | KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. | Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng |
| 2021 | WWW | Knowledge Embedding Based Graph Convolutional Network. | Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu |
| 2020 | ICONIP | Correlation-Aware Change-Point Detection via Graph Neural Networks. | Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang |
| 2017 | SIGIR | Multi-site User Behavior Modeling and Its Application in Video Recommendation. | Chunfeng Yang, Huan Yan, Donghan Yu, Yong Li, Dah Ming Chiu |