| Leveraging User Reviews to Improve Accuracy for Mobile App Retrieval DH Park, M Liu, CX Zhai, H Wang Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 78 | 2015 |
| Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters R Pasunuru, M Liu, M Bansal, S Ravi, M Dreyer Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 67 | 2021 |
| Factgraph: Evaluating factuality in summarization with semantic graph representations LFR Ribeiro, M Liu, I Gurevych, M Dreyer, M Bansal arXiv preprint arXiv:2204.06508, 2022 | 53 | 2022 |
| Integrating extra knowledge into word embedding models for biomedical NLP tasks Y Ling, Y An, M Liu, SA Hasan, Y Fan, X Hu 2017 International Joint Conference on Neural Networks (IJCNN), 968-975, 2017 | 40 | 2017 |
| Product review summarization through question retrieval and diversification M Liu, Y Fang, AG Choulos, DH Park, X Hu Information Retrieval Journal 20, 575-605, 2017 | 33 | 2017 |
| Mobile App Retrieval for Social Media Users via Inference of Implicit Intent in Social Media Text DH Park, Y Fang, M Liu, CX Zhai Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 33 | 2016 |
| Multi-task networks with universe, group, and task feature learning S Pentyala, M Liu, M Dreyer arXiv preprint arXiv:1907.01791, 2019 | 31 | 2019 |
| Faithfulness-aware decoding strategies for abstractive summarization D Wan, M Liu, K McKeown, M Dreyer, M Bansal arXiv preprint arXiv:2303.03278, 2023 | 26 | 2023 |
| Relation extraction from biomedical literature with minimal supervision and grouping strategy M Liu, Y Ling, Y An, X Hu, A Yagoda, R Misra 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014 | 23 | 2014 |
| Evaluating the tradeoff between abstractiveness and factuality in abstractive summarization M Dreyer, M Liu, F Nan, S Atluri, S Ravi Findings of the Association for Computational Linguistics: EACL 2023, 2044-2060, 2023 | 20 | 2023 |
| Bacterial named entity recognition based on dictionary and conditional random field X Wang, X Jiang, M Liu, T He, X Hu 2017 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2017 | 19 | 2017 |
| An error detecting and tagging framework for reducing data entry errors in electronic medical records (EMR) system Y Ling, Y An, M Liu, X Hu 2013 IEEE International Conference on Bioinformatics and Biomedicine, 249-254, 2013 | 18 | 2013 |
| An evaluation of identification of suspected autism spectrum disorder (ASD) cases in early intervention (EI) records M Liu, Y An, X Hu, D Langer, C Newschaffer, L Shea 2013 IEEE International Conference on Bioinformatics and Biomedicine, 566-571, 2013 | 16 | 2013 |
| Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints M Dreyer, M Liu, F Nan, S Atluri, S Ravi arXiv preprint arXiv:2108.02859, 2021 | 13 | 2021 |
| Method and system for multimodal clue based personalized app function recommendation M Liu, Y Shang, L Guo, H Wang US Patent 9,864,803, 2018 | 8 | 2018 |
| Method and system for app search engine leveraging user reviews DH Park, M Liu, L Guo US Patent 10,437,894, 2019 | 5 | 2019 |
| Retrieving Non-Redundant Questions to Summarize a Product Review M Liu, Y Fang, DH Park, X Hu, Z Yu Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 5 | 2016 |
| Transductive Learning for Abstractive News Summarization A Bražinskas, M Liu, R Nallapati, S Ravi, M Dreyer arXiv preprint arXiv:2104.09500, 2021 | 4 | 2021 |
| A New TV World for Kids-When ZUI Meets Deep Learning H Wang, Y Fu, Y Li, G Ning, Z He, M Liu 2018 IEEE Conference on Multimedia Information Processing and Retrieval …, 2018 | 4 | 2018 |
| Scalable user intent mining using a multimodal restricted boltzmann machine Y Shang, L Guo, W Ding, X Song, M Liu, H Wang US Patent 9,910,930, 2018 | 4 | 2018 |
Markus DreyerPh.D., Johns Hopkins UniversityVerified email at cs.jhu.edu
