Wenting Ye

Master Student

Master of Science in Computational Data Science,
Language Technologies Institute,
School of Computer Science,
Carnegie Mellon University

Email: wentingye [at] cmu.edu
GitHub, Linkedin, CV

Biography

Wenting Ye is currently a first-year master student in computational data science (MCDS) in School of Computer Science at Carnegie Mellon University. He graduated from School of Computer Science, Beijing Univ. of Posts & Telecom., with three stright National Scholarships.

From Oct. 2016 to Oct. 2017, he worked with Haohan Wang, a Ph.D. candidate at Language Technologies Institute, Carnegie Mellon University, researching genetic association with confounding factors. In 2017 summer, he had a fantastic summer internship mentored by Prof. Eric P. Xing and Haohan Wang, aiming at building a genetic association database using deep reinforcement learning. After returning to China, He joined the Toutiao AI Lab as a Machine Leanring Intern, working with Dr. Zehuan Yuan to investigate how to efficiently model the spatio-temporal information for Action Detection.

His main research interests include but are not limited to machine learning and its application in data mining and computer vision.

He is looking for 2019 summer internship regarding machine learning in the U.S. If you have any positions available, please contact him!

Publication

• Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.
  Wang, H., Liu, X., Tao Y., Ye, W., Jin, Q., Cohen, W. W., & Xing, E.P.,
  Proceedings of The 2019 Pacific Symposium on Biocomputing

• A Sparse Graph-structured Lasso Mixed Model for Genetic Association with Confounding Correction.
  Ye, W., Liu, X., Wang, H., & Xing, E. P.,
  arXiv:1711.04162 [cs.LG]

• Sparse Variable Selection in High Dimensional Heterogeneous Data with Tree Structured Responses.
  Liu, X., Wang, H., Ye, W., & Xing, E. P.,
  arXiv:1711.08265 [stat.ME]

• Learning Functional Embedding of Genes Governed by Pair-wised Labels.
  Cao, J., Wu, Z., Ye, W., & Wang H.,
  IEEE International Conference on Computational Intelligence and Applications (ICCIA 2017 oral presentation)

Presentation

• Everlasting Iatric Researcher (Eir): Identifying the Article and Reading for Genetic.
  Wang, H., Liu, X., & Ye, W.
  Carnegie Mellon University Language Technologies Institute Student Research Symposium

Selected Coursework

Multilayer Perceptron for Speech Classification, 2018 Fall

• Performed context-aware speech classification using a multilayer perceptron network on a dataset with more than 15M frames data, ranking top 3% (4/194) in Kaggle Competition

Computer System, 2018 Summer

• Implemented a dynamic memory allocater in C (including malloc, free, callo, reallo), using segregated free lists with first-fit search, immediate coalescing of free blocks, and a seperate singly linked list for small free blocks, yielding full score in utilization and throughput test

• Designed a shell program in C with job control and I/O redirections

Honors & Awards

National Scholarship (Top 1%), 2017
Interdisciplinary Contest In Modeling Meritorious Winner, 2016
National Scholarship (Top 1%), 2016
National Scholarship (Top 1%), 2015
Caifang Zhuang·Chongwen Zhuang Scholarship (200 students in Fujian Province), 2014
National Olympiad in Informatics in Provinces (NOIP) first prize, 2013

Skills

Programming Languages:
Python, C/C++, Java, Pascal, JavaScript, MATLAB, MIPS Assembly Language, LaTeX
Frameworks & Tools:
MXNet, Docker, Qt GUI, Django, Git
Language Proficiency:
English (full professional proficiency with TOEFL 107 and GRE 325+3.5), Mandarin (native), Japanese (beginner), Foochow (half native)
Personal Interest:
Basketball (school basketball team), piano, traveling (I have explored more than 25 cities), symphonies