Junting Ye

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 | Awards | CV

Short Bio

Junting Ye obtained his Ph.D. degree at Stony Brook University (SBU) in May 2019. 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 is fortunate to have worked with Prof. Steven Skiena and Prof. Leman Akoglu during his PhD study. 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 – 2019	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

MediaRank: Computational Ranking of Online News Sources
Junting Ye, Steven Skiena.
ACM SIGKDD, Anchorage, Alaska, Aug. 2019.
[Demo]

The Secret Lives of Names? Name Embeddings from Social Media
Junting Ye, Steven Skiena.
ACM SIGKDD, Anchorage, Alaska, Aug. 2019.
[Dataset]

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.