2017年3月10-12日，15级同学司尚春、张丽珠、钟尚儒在雷凯老师的指导下，参加了在北京举办的ICBDA 2017国际会议（2017 IEEE 2nd International Conference on Big Data Analysis），并将实验室的论文成果“An Enhanced Computational Feature Selection Method for Medical Synonym Identification via Bilingual Multi-Corpus Training”、“Syndromes Diagnostic Model for Coronary artery disease (CAD): an improved Naïve Bayesian Classification Model Based on Attribute Relevancy”、“Topic Representation: A Novel Method of Tag Recommendation for text”在会议上与来自全球的学者分享讨论。
ICBDA（2017）由IEEE和西交利物浦大学大数据分析研究所联合主办，University of Texas at Dallas, USA协办，会议旨在促进大数据分析等领域的学术交流与合作，是一个交流大数据的实践经验、推进大数据技术创新与应用、展示国内外大数据领域最新科研成果的平台。会议邀请了Prof. Nen-Fu Huang、Prof. Steven Guan、Dr. Simon Fong、Prof. Hongwei Du等做了Keynote Speech。
钟尚儒同学在11号下午的学术交流会中分享了论文“Topic Representation: A Novel Method of Tag Recommendation for text”，并和与会的学者和同学进行了相关交流。
- Topic Representation: A Novel Method of Tag Recommendation for text
- 作者：Shangru Zhong ; Kai Lei ; Xiaohui Huang ; Jincheng Wu
- 文章链接：https://ieeexplore.ieee.org/document/8078720
(图1: 钟尚儒同学分享学术论文)
张丽珠同学在12号下午分享了论文“Syndromes Diagnostic Model for Coronary artery disease (CAD): an improved Naïve Bayesian Classification Model Based on Attribute Relevancy”相关的研究成果。
- Syndromes Diagnostic Model for Coronary artery disease (CAD): an improved Naïve Bayesian Classification Model Based on Attribute Relevancy
- 作者：Kai Lei ; Lizhu Zhang ; Ying Shen ; Xiaohui Huang ; Jincheng Wu
- 文章链接：https://ieeexplore.ieee.org/document/8078768
(图2: 张丽珠同学分享学术论文)
司尚春同学在12号下午分享了论文“An Enhanced Computational Feature Selection Method for Medical Synonym Identification via Bilingual Multi-Corpus Training”，进行了现场交流。
- An Enhanced Computational Feature Selection Method for Medical Synonym Identification via Bilingual Multi-Corpus Training
- 作者：Kai Lei ; Shangchun Si ; Desi Wen ; Ying Shen
- 文章链接：https://ieeexplore.ieee.org/document/8078771
(图3: 司尚春同学分享学术论文)
通过参加本次会议，了解到了大数据领域内最新研究进展，开拓了视野。通过与参会人员的交流，受到了很多启发。通过做报告，认识到了语言表达的重要性。感谢互联网研发中心和雷老师的资助。
（撰稿人：张丽珠）