Yufei Li

I am a 1st-year Ph.D. student advised by Prof. Wei Yang in Computer Science at The University of Texas at Dallas (UTD), after I finished my graduate study at University of California San Diego (UCSD), and my undergraduate study at Xi'an Jiaotong University (XJTU). My research interests lie in Deep Learning, Natural Language Processing, and Software Engineering. I also did some research in recommender system, so my research interests also include the recommendation algorithms, e.g., explicit-feedback and implicit-feedback recommendation.



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Education

Ph.D.         Department of Computer Science, The University of Texas at Dallas (UTD), U.S.
                      Ph.D. student in Computer Science
                      Advisor: Wei Yang
                      July 2020 - present

M.S.           Department of Electrical and Computer Engineering, University of California San Diego (UCSD), U.S.
                     Master of Science in Electrical and Computer Engineering
                     Sept 2018 - June 2020

B.S.            Department of Mechanical Engineering, Xi'an Jiaotong University (XJTU), China
                     Bachelor of Science in Mechanical Engineering
                     Sept 2014 - June 2018
Publications

GLIB: Towards Automated Test Oracle for Graphically-Rich Applications
Ke Chen*, Yufei Li*, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang
29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE' 21)
Work Experience

NEC Laboratories America, Inc., Princeton, NJ, USA
Research Intern • June 2021 to Aug. 2021
extract name entities and design a soft regular expression matching for building distant labels
design a BERT-based NER & RE joint training framework
conduct a large-scale human evaluation on our NER & RE on security nature language dataset
Mentor: Xiao Yu
Data Science & System Security Department

SeekTruth Scientific and Technical Corporation, Beijing, China
Research Intern • July 2019 to Sept. 2019
design an adaptive discrimination definition model and improve its performance
design small convolutional network to identify the direction of video
designed and trained key points as well as pose recognition models for characters
optimized the previous version of Caffe model
Mentor: Chuanhe Liu
Algorithm Department
Honors & Awards

Excellent Award and runner-up in VEX Robotics World Championship, Louisville, KY, US, • 2017
Excellent Award and runner-up in VEX Robotics Asia Open, Beijing, China • 2016
First Class Honor in VEX Robotics China Open, Xi'an, China • 2016