PICSO: Archived Lab News & Research Highlights

Archived Lab News & Research Highlights

2019/11 Congratulations to Xidao and Mert for successfully defending their PhD dissertations!

2019/07 Two papers accepted to appear at IEEE VIS 2019: "FairSight: Visual Analytics for Fairness in Decision Making" and "FacIt: Factorizing Tensors into Interpretable and Scrutinizable Patterns." Congrats to Yongsu, Xidao and the team!

2019/06 Paper accepted to appear in ECML/PKDD 2019: "CASTNet: Community-Attentive Spatio-Temporal Networks for Opioid Overdose Forecasting." The deep learning code used in this paper is available at our github page.

2019/05 Our new paper on opioid prediction was covered by VentureBeat: "AI can predict opioid overdoses from crime and socioeconomic data".

2019/02 Paper accepted to appear at EPJ Data Science Journal: "Activism via Attention: Interpretable Spatiotemporal Learning to Forecast Protest Activities." Congrats to Mert and the team! The deep learning code used in this paper is available at the github page.

2019/01 Paper accepted to appear in WWW 2019: "Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses." Congrats to Xidao and the team!

2018/12 Two Postdoc Positions in Computational Social Science are available.

2018/04 Paper accepted to appear in IJCAI 2018: "Deep into Hypersphere: Robust and Unsupervised Anomaly Discovery in Dynamic Networks." The deep learning code used in this paper is available at our github page.

2018/02 Paper accepted to appear in ACM TKDD: "Event Analytics via Discriminant Tensor Factorization."

2017/11 Paper published at EPJ Data Science Journal: "Measuring and monitoring collective attention during shocking events." Check out the SpringerOpen blog post that featured this article. The dataset associated with our findings has been released.

2017/11 Dr. Adam Perer to visit us and speak in Big Data Colloquium Series on November 17, 2017.

2017/11 Code release -- MTHL (Multi-view Time-Series Hypersphere Learning) for detecting anomalous patterns from dynamic and multi-attributed networks. Check out the github page and our paper!

2017/10 Dr. Dan Cosley to visit us and speak in Big Data Colloquium Series on October 27, 2017.

2017/10 Our studies (about fear & distress) were cited by an article in Las Vegas Sun to explain how the latest mass shooting in Las Vegas could trigger many's lasting emotional reactions regardless of where they live.

2017/10 The paper "Quantifying Content Polarization on Twitter" won the Best Student Paper Award in CIC 2017. Congrats to Muheng and Xidao!

2017/09 Dr. Leman Akoglu to visit us and speak in Big Data Colloquium Series on September 29, 2017.

2017/09 Congratulations to Xian for receiving travel awards from NSF/SIGWEB/SIGIR to attend CIKM 2017!

2017/09 Paper to appear in CIC 2017: "Quantifying Content Polarization on Twitter." Congrats to Muheng and Xidao!

2017/08 Paper accepted to appear in CIKM 2017: "Anomaly Detection in Dynamic Networks Using Multi-View Time-Series Hypersphere Learning." Congrats to Xian and Xidao!

2017/07 Paper accepted to appear in VAST 2017: "Voila: Visual Anomaly Detection and Monitoring with Streaming Spatiotemporal Data." Watch the video preview of this work!

2017/05 Congratulations to Xidao Wen for successfully defending his dissertation proposal!

2017/05 Paper accepted to appear in WebSci 2017: "The Signals and Noise: Actionable Information in Improvised Social Media Channels During a Disaster" Congrats to Xingsheng and the team!

2017/03 Paper accepted to appear in Risk Analysis Journal: "Tracking and Analyzing Individual Distress Following Terrorist Attacks Using Social Media Streams."