Shi FENG

冯时

Associate Professor

Department of Computer Science,

Northeastern University, Shenyang, China

Email: fengshi [at] cse.neu.edu.cn
Office: Room B332-1, Information Building, Northeastern University, China
Address: No.195 Chuangxin Road, Hunnan District, Shenyang, China, 110169

I am a member of NEU Data Mining group. NEU DM group belongs to Data Science and Big Data Technology Group led by professor Ge Yu(于戈).

 

RESEARCH INTERESTS

·       Opinion Mining and Sentiment Analysis

·       Chatbot

·       Facial Emotion Recognition

 

TEACHING

·       Operation System

·       Data Ming and Knowledge Discovery

 

EDUCATION and EXPERIENCE

·       Mar, 2014 - May, 2014. Visiting Assistant Professor, The Chinese University of Hong Kong Shenzhen Research Institute, Shenzhen, China

·       Jun, 2009 - Jun, 2010. Research Assistant, Dept. of System Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, China

·       Mar, 2007 - Jan, 2011. Ph.D, College of Information Science and Engineering, Northeastern University, China.

·       Sep, 2004 - Mar, 2007. Graduate, College of Information Science and Engineering, Northeastern University, China.

·       Sep, 2000 - Mar, 2004. Undergraduate, College of Information Science and Engineering, Northeastern University, China.

 

RESEARCH FUNDINGS

·       PI. Study on Human-Machine Conversation Text Generation Technique for Emotional Interaction. 2019-2022, National Science Foundation of China (NSFC).

·       PI. Research on Key Techniques of Opinion Mining for Real Time Public Opinion Monitoring in Microblogging Sphere. 2012-2014. National Science Foundation of China (NSFC).

·       PI. Research on Real Time Sentiment Analysis for Massive Social Media Data. Fundamental Research Funds for the Central Universities of China. 2012-2013.

·       PI. Fine-grained Sentiment Analysis for Social Streams. Fundamental Research Funds for the Central Universities of China. 2014-2015.

·       Project member (rank 2nd). Diversified Social Relation Active Learning Based on Social Media Mining. 2018-2021, National Science Foundation of China (NSFC).

·       Project member (rank 2nd). Multi-level Social Media Resource Recommendation based on Generalized Content Analysis, 2014-2017, National Science Foundation of China (NSFC).

 

SELECTED PUBLICATIONS