基本信息
浏览量:36
职业迁徙
个人简介
Research Interests
I am interested in data mining, machine learning, deep learning and all kinds of artificial intelligence technologies which can imporve life quality and benifit human well-being.
In previous years, I mainly focused on mining mobile big data with regards to smartphone App usage and human mobility to gain insights[UbiComp2018][TMC2019], deepen understanding of behaiour patterns [UbiComp2019][WWW2019], and develop accurate prediction models[PlosOne2019][TIST2020][UbiComp2020].
Currently, I am working on a mobile health related project. Specifically, we collect human sounds to set up machine learning models, as a non-invassive and low-cost pre-screening tool, to help diagnosis [KDD2020].
I am interested in data mining, machine learning, deep learning and all kinds of artificial intelligence technologies which can imporve life quality and benifit human well-being.
In previous years, I mainly focused on mining mobile big data with regards to smartphone App usage and human mobility to gain insights[UbiComp2018][TMC2019], deepen understanding of behaiour patterns [UbiComp2019][WWW2019], and develop accurate prediction models[PlosOne2019][TIST2020][UbiComp2020].
Currently, I am working on a mobile health related project. Specifically, we collect human sounds to set up machine learning models, as a non-invassive and low-cost pre-screening tool, to help diagnosis [KDD2020].
研究兴趣
论文共 55 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
IEEE journal of biomedical and health informaticsno. 99 (2024): 1-12
UbiComp/ISWC '23 Adjunct: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (2023): 777-783
引用0浏览0EI引用
0
0
Journal of medical Internet research (2023): e44804-e44804
31ST ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS, ACM SIGSPATIAL GIS 2023 (2023): 288-291
Scientific Datano. 1 (2023): 1-13
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn