- 👨💻 I’m currently studying for a master's degree in Database and Information System (DBIS) laboratory of Nankai University.
- 📚 I graduated from Jiangnan University in Wuxi, Jiangsu Province with a bachelor's degree.
- ⚡ Research interests: natural language processing (NLP), active learning, generative adversarial networks (GANs) and time series data imputation.
- 🌱 Currently living in Cangzhou, Hebei Province, China.
- Baohang Zhou, Xiangrui Cai, Ying Zhang, Xiaojie Yuan. An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). pages 6214-6224. [Paper]
- Baohang Zhou, Xiangrui Cai, Ying Zhang, Wenya Guo, Xiaojie Yuan. MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization. In Proceddings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021). pages 14586-14593. [Paper]
- Ying Zhang, Baohang Zhou, Xiangrui Cai, Wenya Guo, Xiaoke Ding, Xiaojie Yuan. Missing Value Imputation in Multivariate Time Series with End-to-End Generative Adversarial Networks. Inf. Sci., Vol. 551. 67-82. [Paper]
- Ying Zhang, Baohang Zhou, Xiaoke Ding, Jiawei Ouyang, Xiangrui Cai, Jinyang Gao, Xiaojie Yuan. Adversarially learned one-class novelty detection with confidence estimation. Inf. Sci., Vol. 552. 48-64. [Paper]
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