蔚思

研究方向包括大数据、数据挖掘、深度学习、机器学习、社交网络分析、医疗数据分析、计 算机视觉、数据挖掘中的安全和隐私、并行和分布式计算等。 prof. yang zhou (‍‌‌‌‌‌‌‍‌‌‌‍‍‍‌‌http://eng.auburn.edu/users/yangzhou/) in the department of computer science at the auburn university is recruiting 2-3 phd students with funded research assistantship in spring/fall 2020. in addition, visiting scholars and summer interns are welcome. the successful candidates are expected to do research work in big data, data mining, deep learning, machine learning, social network analysis, health data analysis, computer vision, security and privacy in data mining, or parallel and distributed computing. interested students are encouraged to send their cvs, transcripts, and publications if applicable to yangzhou@auburn.edu. prof. yang zhou received his phd degree in computer science at the georgia institute of technology. his research efforts have led to 35 publications with 1400+ citations in top venues, including sigkdd, icdm, bigdata, tkdd, dmkd, vldb, sc, hpdc, jsac, and issta. he has been named as kdd rising star by microsoft academic search and microsoft research asia in 2016. the lab has close collaborations with both academic institutions and industrial research labs, such as georgia tech, university of oregon, university of pittsburgh, peking university, ibm research, microsoft research, lawrence livermore national laboratory, alibaba research, baidu research, etc. qualified candidates are expected to have: 1. undergraduate or master students in computer science, software engineering, electrical and computer engineering, information science, mathematics, statistics, industrial engineering, bioinformatics, or related majors. 2. highly self-motivated. 3. strong programming skills in python or c/c++. 4. good mathematical background. 5. research experience with data mining, machine learning, computer vision, or natural language processing projects is preferred. 6. experience with deep learning architectures such as tensorflow or pytorch is preferred.