Junting Ye Department of Computer Science Stony Brook University, Stony Brook, NY 11794 Contact: juyye at cs dot stonybrook dot edu

Short Bio  |   Education  |   Demos  |   Publications  |   Code  |   Experience  |   Honors  |   CV

Short Bio

Junting Ye is a fifth-year Ph.D. student at Stony Brook University (SBU). His research interests are in the fields of data mining and applied machine learning, particlarly on anomaly detection, large-scale news and social media anlaysis. He has been working with Prof. Steven Skiena and Leman Akoglu. Before coming to SBU, he was a member of SKLMS Lab in Xi'an Jiaotong University, following Prof. Qinghua Zheng's advice. Junting will join Facebook Seattle office as a research scientist in Jun. 2019.

Education

2014 – Now	Ph.D.	Computer Science, Stony Brook University
2011 – 2014	M.S.	Computer Science, Xi'an Jiaotong University
2007 – 2011	B.S.	Computer Science, Xi'an Jiaotong University

Demos

• MediaRank: a system designed to track online news sources’ qualities. On one hand, we analyze the content generated by these sources and use multiple objective metrics to make qualitative differentiation among them. On the other hand, we are interested to see how news are consumed and comprehended by individuals and groups on social media.

• NamePrism: a name-based nationality classifier that achieves state-of-the-art performance (API enabled);
  Input: first and last name
  Output: nationality probability distributions
  

Publications

• Multi-view Models for Political Ideology Detection of News Articles
  Vivek Kulkarni, Junting Ye, Steven Skiena, William Yang Wang.
  EMNLP, Brussels, Belgium, Nov. 2018.
  

• Robust Semi-Supervised Classification for Multi-Relational Graphs
  Junting Ye and Leman Akoglu.
  PAKDD, Melbourne, Australia, June. 2018.
  [Code]
  

• Nationality Classification using Name Embeddings.
  Junting Ye, Shuchu Han, Yifan Hu, Baris Coskun, Meizhu Liu, Hong Qin and Steven Skiena
  CIKM, Singapore, Nov. 2017.
  [Demo] [Slides]
  

• Temporal Opinion Spam Detection by Multivariate Indicative Signals.
  Junting Ye, Santhosh Kumar and Leman Akoglu.
  ICWSM, Cologne, Germany, May. 2016.
  [Full Version] [Poster] [Code]
  

• Discovering Opinion Spammer Groups by Network Footprints.
  Junting Ye and Leman Akoglu.
  ECML/PKDD, Porto, Portugal, Sep. 2015.
  [Supplementary Material] [Slides] [Poster] [Code]
  

• Dynamic author name disambiguation for growing digital libraries.
  Yanan Qian, Qinghua Zheng, Tetsuya Sakai, Junting Ye, Jun Liu.
  Information Retrieval Journal, Oct. 2015.
  

• Dynamic Query Intent Mining from a Search Log Stream.
  Qanan Qian, Tetsuya Sakai, Junting Ye, Qinghua Zheng and Cong Li.
  CIKM, San Francisco, U.S., Oct. 2013.
  

• PLIDMiner: A Quality based Approach for Researcher’s Homepage Discovery.
  Junting Ye, Yanan Qian and Qinghua Zheng.
  Asia Information Retrieval Societies Conference (AIRS), Tianjin, China, Dec. 2012.
  

Experience

Research Assistant (Jan. 2017 - Present)

Data Science Lab@SBU

Research Assistant (Jan. 2015- May 2016)

DataLab@SBU

Machine Learning Engineer Intern (May 2018 - Aug. 2018)

Facebook@NYC

Software Engineer Intern (May 2017 - Aug. 2017)

Google Research@MTV, CA

Intern Scientist (May 2016- Aug. 2016)

Yahoo Research@NYC

Research Intern (Dec. 2012 - May 2013)

QIHOO@Beijing,China

Software Engineer Intern (Jul. 2010 - Sep. 2010)

Ambo@Suzhou,China

Teaching Assistant (Aug. 2016 - Jan. 2017)

CSE 519 @SBU

Teaching Assistant (Aug. 2014 - Jan. 2015)

CSE 114, CSE 219@SBU

Honors

• IACS Junior Researcher Award, 2018;
• CIKM Travel Award, 2017;
• SIGIR Travel Award, 2017;
• ICWSM Student Grant Award, 2016;
• SBU Young Writer's Award, 2016;
• SBU CS Department Special Chair Sholarship (First Tier), 2014;
• SBU Graduate School Scholarship, 2014;

Last modified: Sep. 2018.