Activities

Panel talk at Facebook Machine Learning PhD Campus Event, Nov 2019

Phd Thesis Defense of “Visual analytics of heterogeneous data using hypergraph learning” at Srony Brook University
Dec 2018.

Receive IEEE VAST 2018 Honorable Mention Award and present paper “A Visual Analytics Framework for the Detection of Anomalous Call Stack Trees in High Performance Computing Application” at IEEE VIS, Berlin, Germany
Oct 2018.

Intern at Facebook. Worked on Feature & Model Understanding project of News Feed Ranking team.
May 2018 - August 2018.

Present paper “MultiSciView: Multivariate Scientific X-ray Image Visual Exploration with Cross-Data Space Views” at IEEE Pacific VIS, Osaka, Japan.
April 2018

Join panel “Brainstorming on deep learning visualization tools” at ICML 2017 Workshop on Visualization for Deep Learning, Sydney, Australia.
August 2017.

Present paper “Evolutionary Visual Analysis of Deep Neural Networks” at ICML 2017 Workshop on Visualization for Deep Learning, Sydney, Australia.
August 2017.

Intern at Brookhaven National Lab. Worked on high performance computing and hypergraph learning on heterogeneous data.
May 2017 - August 2017.

Receive IEEE VAST 2016 Honorable Mention Award and present paper “A Visual Analytics Approach for Categorical Joint Distribution Reconstruction from Marginal Projections” at IEEE VIS, Baltimore, USA.
November 2016

Present paper “VAET: A Visual Analytics Approach for E-Transactions Time-Series” at IEEE VIS, Paris, France.
November 2014

Intern at Taobao Data Productization Department of Alibaba.com. Worked on detecting fake transactions in online customer-to-customer sales data.
May 2012 - December 2012.