Xiang Yue

Experimental Class of Fin-Tech, Undergraduate, Nanjing University

Address: No.163 Xianlin Avenue, Qixia District, Nanjing

Email: xiangyue [at] smail [dot] nju [dot] edu [dot] cn

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Currently doing researches with Prof. Shujian Huang in Natural Language Processing Group, Nanjing University. Previously doing innovative project with Dr. Hongyu Kuang.

Hi! I am Xiang Yue, an undergraduate of Experimental Class of Fin-Tech at Nanjing University, I am proficient in programming and enthusiastic in Computer Science. In pursuit of focusing on them as well as finish my own major, I manage to learn cross-discipline knowledges.

My research interests are Natural Language Processing, Machine Learning. I have been closely working with Prof. Shujian Huang in the Natural Language Processing Group for one year, focusing on innovations concerning subfields of Neural Machine Translation.

Previous, I did innovative research project, focusing on Code-Requirement retrieval for better detection of outdated requirements, with Haoran Yang, advised by Dr. Hongyu Kuang . And we won provincial nomination.

I’m finishing my Bachelor’s degree, expecting to graduate in 2020. Currently I am seeking for an opportunity of summer intern for research.

Research

I assisted researches in Natural Language Processing Group of Nanjing University with Prof. Shujian Huang, to look into innovations concerning subfields of Machine Translation.

Project

I am proficient in application developments, ranging from Independent Game, Chinese Input Method, to WeChat Chatbot, Website as well as Neural Networks Programming.

Award

People’s Scholarship – First Prize

Excellence Scholarship – Second Prize

MCM contest – Honorable Prize

2018 SAS Data Mining Champion – First Prize

Skill

Programming: C/C++, Python, Java, Assembly, MATLAB, SQL, R

Platform: Windows, Linux

Framework: Hadoop, PyTorch, TensorFlow, MongoDB

Major

I studied in Experimental Class of Fin-Tech, which is a Pilot Class in NJU to focus on the combination knowledge learning in the areas of Computer Science, Mathematics and Finance.

Education

Overall GPA: ^4.53/_5.0 Rank: ³⁄₂₀

Core Courses: Introduction to Computer Systems, Foundation of Computer Networks, Big Data Processing Technology, Operating System, Financial Economics, Corporate Finance.