王晓苏,理学博士,讲师。2024年1月博士毕业于复旦大学,随后加入南京信息工程大学计算机学院。研究方向包括自然语言处理、大语言模型、智能系统安全。
科研成果:
[1] Xiaosu Wang, Yun Xiong, Beichen Kang, Yao Zhang, Philip S. Yu and Yangyong Zhu.Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting. WSDM 2023.
[2] Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu and Philip S. Yu. Improving Chinese Character Representation with Formation Graph Attention Network. CIKM 2021.
[3] Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu and Philip S. Yu. BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining. ICDM 2021.
[4] Xiaosu Wang, Yun Xiong, Hao Niu, Yao Zhang and Yangyong Zhu. C2BERT: Cross-contrast BERT for Chinese Biomedical Sentence Representation. BIBM 2021.
[5] Hao Niu, Yun Xiong, Jian Gao, Zhongchen Miao, Xiaosu Wang, Hongrun Ren, Yao Zhang, Yangyong Zhu. Composition-based Heterogeneous Graph Multi-channel Attention Network for Multi-aspect Multi-sentiment Classification. COLING 2022.
[6] Zian Jia, Xiaosu Wang, Yun Xiong, Yao Zhang, JinJing Zhao. AISLE: Self-supervised Representation Learning for the Investigation of Advanced Persistent Threat. Workshop Vulnerability Analysis and Adversarial Learning (VAAL 2022) hold with the 7th IEEE International Conference on Data Science in Cyberspace (IEEE DSC 2022)
[7] Beichen Kang, Xiaosu Wang, Yun Xiong, Yao Zhang, Chaofan Zhou, Yangyong Zhu, Jiawei Zhang and Chunlei Tang. Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning. DASFAA 2023.