Ren Mucheng
- IMIC Lab
- People , Engineering teacher
- November 7, 2023
Ren Mucheng, Ph.D., is a lecturer at the School of Artificial Intelligence of Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. Obtained a bachelor’s degree in science from the University of Melbourne in December 2015, a master’s degree in engineering (electronics and electrical engineering) from the University of Melbourne in December 2017, and a doctorate in engineering (computer science and technology) from Beijing Institute of Technology in 2023. His supervisor is Professor Huang Heyan. During his Ph.D., he conducted scientific research internships at Microsoft Engineering Academy STCA and Alibaba Damo Academy, and participated in a number of scientific research projects such as National Natural Science Foundation key projects, National Natural Science Foundation Enterprise Innovation and Development Joint Fund projects, and Beijing Municipal Fund key projects.
His main research directions and interests are: natural language processing, automatic question answering, model interpretability research and cognitive reasoning, as well as cross-application research of artificial intelligence in the biomedical field. Currently, he has published six high-level papers as the first author, including top conferences or academic journals in the fields of ACL, EMNLP, Neurocomputing, etc., and won the Best Paper Award of the 21st China Conference on Computational Linguistics CCL2022.
For more information, please visit my personal homepage: https://faculty.nuist.edu.cn/mcren/zh_CN/index.htm
Representative papers:
Ren, M., Huang, H., & Gao, Y. (2021). SKR-QA: Semantic ranking and knowledge revise for multi-choice question answering. Neurocomputing, 459, 142-151. (IF: 5.7, District 2, Chinese Academy of Sciences)
Ren, M., Geng,
Ren, M., Huang, H., Zhou, Y., Cao, Q., Bu, Y., & Gao, Y. (2022, October). TCM-SD: A Benchmark for Probing Syndrome Differentiation via Natural Language Processing. In China National Conference on Chinese Computational Linguistics (pp. 247-263). (Best Paper Award)
Ren, M., Huang, H. Y., & Gao, Y. (2021, August). Prediction or Comparison: Toward Interpretable Qualitative Reasoning. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (pp. 664-675). (CCF-A, top conference in the field)
Translated from the original Chinese source.
