| Privacy-preserving collaborative model learning: The case of word vector training Q Wang, M Du, X Chen, Y Chen, P Zhou, X Chen, X Huang IEEE Transactions on Knowledge and Data Engineering 30 (12), 2381-2393, 2018 | 65 | 2018 |
| Abstractive Text Summarization by Incorporating Reader Comments S Gao, X Chen, P Li, Z Ren, L Bing, D Zhao, R Yan AAAI 2019, 2018 | 60 | 2018 |
| VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles M Li, X Chen, S Gao, Z Chan, D Zhao, R Yan EMNLP, 2020 | 58 | 2020 |
| Opportunities and challenges for ChatGPT and large language models in biomedicine and health S Tian, Q Jin, L Yeganova, PT Lai, Q Zhu, X Chen, Y Yang, Q Chen, ... Briefings in Bioinformatics 25 (1), bbad493, 2024 | 48 | 2024 |
| Learning towards Abstractive Timeline Summarization. X Chen, Z Chan, S Gao, MH Yu, D Zhao, R Yan IJCAI, 4939-4945, 2019 | 44 | 2019 |
| Capturing relations between scientific papers: An abstractive model for related work section generation X Chen, H Alamro, M Li, S Gao, X Zhang, D Zhao, R Yan Association for Computational Linguistics, 2021 | 40 | 2021 |
| Iterative Document Representation Learning Towards Summarization with Polishing X Chen, S Gao, C Tao, Y Song, D Zhao, R Yan EMNLP 2018, 2018 | 40 | 2018 |
| Modeling personalization in continuous space for response generation via augmented wasserstein autoencoders Z Chan, J Li, X Yang, X Chen, W Hu, D Zhao, R Yan EMNLP 2019, 1931-1940, 2019 | 38 | 2019 |
| From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information S Gao, X Chen, Z Ren, D Zhao, R Yan IJCAI 2020, 2020 | 36 | 2020 |
| Meaningful Answer Generation of E-Commerce Question-Answering S Gao, X Chen, Z Ren, D Zhao, R Yan TOIS, 2020 | 34 | 2020 |
| How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing S Gao, X Chen, P Li, Z Chan, D Zhao, R Yan EMNLP 2019, 2019 | 33 | 2019 |
| Interactive natural language processing Z Wang, G Zhang, K Yang, N Shi, W Zhou, S Hao, G Xiong, Y Li, MY Sim, ... arXiv preprint arXiv:2305.13246, 2023 | 32 | 2023 |
| Learning to respond with stickers: A framework of unifying multi-modality in multi-turn dialog S Gao, X Chen, C Liu, L Liu, D Zhao, R Yan Proceedings of the Web Conference 2020, 1138-1148, 2020 | 25 | 2020 |
| Selection and generation: Learning towards multi-product advertisement post generation Z Chan, Y Zhang, X Chen, S Gao, Z Zhang, D Zhao, R Yan Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 24 | 2020 |
| Stick to the facts: Learning towards a fidelity-oriented e-commerce product description generation Z Chan, X Chen, Y Wang, J Li, Z Zhang, K Gai, D Zhao, R Yan Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 19 | 2019 |
| The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement M Li, X Chen, M Yang, S Gao, D Zhao, R Yan AAAI, 2020 | 18 | 2020 |
| Target-aware Abstractive Related Work Generation with Contrastive Learning X Chen, H Alamro, M Li, S Gao, R Yan, X Gao, X Zhang SIGIR 2022, 2022 | 17 | 2022 |
| Towards improving faithfulness in abstractive summarization X Chen, M Li, X Gao, X Zhang Advances in Neural Information Processing Systems 35, 24516-24528, 2022 | 16 | 2022 |
| Combining curriculum learning and knowledge distillation for dialogue generation Q Zhu, X Chen, P Wu, JF Liu, D Zhao Findings of the Association for Computational Linguistics: EMNLP 2021, 1284-1295, 2021 | 16 | 2021 |
| Lift yourself up: Retrieval-augmented text generation with self-memory X Cheng, D Luo, X Chen, L Liu, D Zhao, R Yan Advances in Neural Information Processing Systems 36, 2024 | 15 | 2024 |
Rui Yan (严睿)Renmin University of China. Previously with Peking U. and UPennVerified email at seas.upenn.edu
