中文

WEI WEI

· Personal Information

Associate professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Gender:Male
Status:Employed
School/Department:School of Computer Scienece and Technology
Education Level:Postgraduate (Doctoral)
Degree:Doctoral Degree in Engineering
Discipline:Computer Applications Technology Computer Software and Theory
Alma Mater:Huazhong University of Science and Technology
Honors and Titles:
2017    第十批“3551光谷人才计划”
2016    华中科技大学教师教学竞赛二等奖

· Contact Information

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· Personal Profile

Dr. Wei Wei is now working as associate professor with the School of Computer Science and Technology at Huazhong University of Science and Technology (HUST). He received his PhD degree in Computer Software and Theory from HUST. His major research interests in information retrieval, data mining (text mining/social media analysis and mining), natural language processing, machine learning, artific...

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· Education Experience

2008.9 ~ 2012.11
 华中科技大学   Doctoral Degree in Engineering  -  Postgraduate (Doctoral) 
2006.9 ~ 2008.6
 华中科技大学   Master's Degree in Engineering  -  Postgraduate (Master's Degree) 
2002.9 ~ 2006.6
 中国地质大学   Bachelor's Degree in Engineering  -  Undergraduate (Bachelor’s degree) 

· Work Experience

2016.11-Now
华中科技大学计算机学院  - 副教授
2015.4-2016.10
华中科技大学计算机学院  - 讲师
2014.6-2015.3
新加坡管理大学信息学院  - Research Fellow
2012.11-2014.5
新加坡南洋理工大学信息工程学院  - Research Fellow
2011.6-2011.12
新加坡国立大学计算机学院  - Visting Student
2010.9-2011.3
新加坡南洋理工大学信息工程学院  - Research Assistant
2009.10-2010.6
微软亚洲研究院信息检索与挖掘组

· Social Affiliations

中国中文信息学会青年工作委员会委员,中国计算机学会/中国中文信息学会/ACM学会会员

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· Research Focus

  • [1] 人工智能、自然语言处理、信息检索、文本数据挖掘、推荐系统、社交媒体分析机器学习、深度学习
  • [2] 本人所在"认知计算与智能信息处理实验室"(http://cciip.cs.hust.edu.cn/)科研经费及研究生指标充足,可为研究生提供良好待遇、科研软硬件环境及发展机会: (1)长期招收硕士、博士研究生(可推荐至美国、新加坡、澳大利亚、微软亚洲研究院等世界知名大学/机构联合培养); (2)欢迎高年级本科生参与科研工作(可推荐至美国、新加坡、澳大利亚、微软亚洲研究院等世界知名大学/机构攻读博士

· Research Group:

· Cognitive Computing and Intelligent Information Processing (CCIIP) Laboratory

Mainly focus on the scientific cross-disciplines of cognitive science and intelligent information processing, which include the theory and  technology of natural language processing (NLP) and image processing (IP), algorithm design and complexity analysis, as well as formalization and domain-specific application research and etc.