About me
I have graduated from THUIR group, Department of Computer Science and Technology in Tsinghua University, Beijing, China. My supervisor is Prof. Yiqun Liu. My major research interests are in Information Retrieval , Brain Machine Interface, User Behavior Analysis and Sentiment Analysis. Now,
Publications
- Xuesong Chen, Jiaxin Mao, Yiqun Liu, Min Zhang and Shaoping Ma. Investigating human reading behavior during sentiment judgment. International Journal of Machine Learning and Cybernetics.Preprint Version
- Xuesong Chen, Ziyi Ye, Xiaohui Xie, Yiqun Liu, Xiaorong Gao, Weihang Su, Shuqi Zhu, Yike Sun, Min Zhang, and Shaoping Ma. Web Search via an Efficient and Effective Brain-Machine Interface. The 15th ACM International Conference on Web Search and Data Mining. (WSDM 2022). Preprint Version
- 陈雪松, 毛佳昕, 马为之, 刘奕群, 张敏, 马少平. 中西方媒体报道各国疫情的对比及情感分析方法研究. (计算机学报). Preprint Version
- Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuesong Chen, Min Zhang, and Shaoping Ma. Towards a Better Understanding of Human Reading Comprehension with Brain Signals. The Web Conference 2022. (theWebConf 2022).
- Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuancheng Li, Jiaji Li, Xuesong Chen, Min Zhang and Shaoping Ma. Why Don’t You Click: Understanding Non-Click Results in Web Search with Brain Signals. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2022). Preprint Version
- Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuesong Chen, Min Zhang and Shaoping Ma. Brain Topography Adaptive Satisfaction Modeling for Interactive Information Access. The 30th ACM International Conference on Multimedia (MM 2022).
Articles
Videos
- 基于脑机接口的Web搜索系统
- Web Search System via Brain-Machine Interface
- Web Search via an Efficient and Effective Brain-Machine Interface
Patents
- 刘奕群, 陈雪松, 谢晓晖, 叶子逸, 朱书琦, 张敏, 马少平. 网页搜索方法及装置、电子设备和存储介质. (专利号:CN114020158A)
- Yiqun Liu, Xuesong Chen, Xiaohui Xie, Ziyi Ye, Shuqi Zhu, Min Zhang, and Shaoping Ma. Web Search System via Brain-Machine Interface. (Ameraican Patent)