My most recent research area mainly includes news mining and ranking. I have have also been working on query processing on graphs such as entity graphs and RDF graphs. I am also investigating the path query processing in graphs as well. My other research areas also include designing systems and algorithms for scalable publish/subscribe systems with applications to social networks.
Google Scholar, DBLP
A Comparative Study for Unsupervised Network Representation Learning
Megha Khosla, Vinay Setty and Avishek Anand
in IEEE Transactions on Knowledge and Data Engineering (Early Access)
SADHAN: Hierarchical Attention Networks to Learn Latent Aspect Embeddings for Fake News Detection
Rahul Mishra and Vinay Setty
in ICTIR 2019
Event2Vec: Neural Embeddings for News Events
Vinay Setty and Katja Hose
in SIGIR 2018 (Short paper)
Discovering Diversified Paths in Knowledge Bases.
Christian Aebeloe, Gabriela Montoya, Vinay Setty and Katja Hose
in VLDB 2018 (Demo paper)
Estimating Event Focus Time Using Neural Word Embeddings
Supratim Das, Arunav Mishra, Klaus Berberich and Vinay Setty
in CIKM 2017 (Short paper).
BioNex: A System For Biomedical News Event Exploration
Patrick Ernst, Arunav Mishra, Avishek Anand, Vinay Setty
in SIGIR-Demo 2017.
Modeling Event Importance for Ranking Daily News Events
Vinay Setty, Abhijit Anand, Arunav Mishra, Avishek Anand
in WSDM 2017. pdf, Ground truth and results
RichNote: Adaptive Selection and Deliver of Rich Media Notifications to Mobile Users
Md Yusuf Sarwar Uddin, Vinay Setty, Ye Zhao, Roman Vitenberg, Nalini Venkatasubramanian
in ICDCS 2016. (pdf)
Finding Diverse Needles in a Haystack of Comments - Social Media Exploration for News
Hang Zhang, Vinay Setty
in WebSci 2016.
As Time Goes By: Comprehensive Tagging of Textual Phrases with Temporal Scopes
Erdal Kuyez, Vinay Setty, Jannik Stroetgen, Gerhard Weikum
in WWW 2016.
Towards Publish/Subscribe Functionality on Graphs
Lefteris Zervakis, Christos Tryfonopoulos, Vinay Setty, Stephan Seufert and Spiros Skiadopoulos
in DIACHRON 2016 (co-located with EDBT 2016).
Exploring Long Running News Stories using Wikipedia
Jaspreet Singhy, Abhijeet Anand, Vinay Setty, Avishek Anand
in Web Science 2015
Towards content-based publish/subscribe for distributed social networks
Christos Tryfonopoulos, Paraskevi Raftopoulou, Vinay Setty, Argiris Xiros
in DEBS 2015
VizPub: Visualizing the Performance of Overlay-Based Pub/Sub Systems
Nils Peder Korsveien, Vinay Setty, Roman Vitenberg
in DEBS 2014. (Best Demo Award)
Cost-Effective Resource Allocation for Deploying Pub/Sub on Cloud
Vinay Setty, Roman Vitenberg, Gunnar Kreitz, Guido Urdaneta, Maarten van Steen
in ICDCS 2014.
Maximizing the Number of Satisfied Subscribers in Pub/Sub Systems Under Capacity Constraints
Vinay Setty, Gunnar Kreitz, Guido Urdaneta, Roman Vitenberg, Maarten van Steen
in Infocom 2014.
The hidden Pub/Sub of Spotify
Vinay Setty, Gunnar Kreitz, Roman Vitenberg, Maarten van Steen, Guido Urdaneta, and Staffan Gimåker
in DEBS 2013.
PolderCast: Fast, Robust, and Scalable Architecture for P2P Topic-based Pub/Sub
Vinay Setty, Maarten van Steen, Roman Vitenberg, and Spyros Voulgaris
in Middleware 2012.
InZeit: Efficiently Identifying Insightful Time Points
Vinay Setty, Srikanta Bedathur, Klaus Berberich, and Gerhard Weikum
in VLDB 2010.
Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing)
Jens Dittrich, Jorge Quiane, Alekh Jindal, Yagiz Kargin, Vinay Setty, Jörg Schad
in VLDB 2010.
Qweb Querying the Web of Data easily and efficiently, headed by Katja Hose
Crest News mining and ranking
[November 2016 - July 2017] Assistant Professor, Aalborg University, Denmark
[September 2014 - October 2016] Postdoctoral Researcher, Max Planck Institute for Informatics, Saarbruecken, Germany
[September 2012 - February 2013] Visiting Researcher, Spotify, Stockholm
[June 2005 - March 2008] Software Engineer, Electronics For Imaging, Bangalore, India
September, 2010 - August, 2014
Thesis title: Publish/Subscribe for Large-Scale Social Interaction: Design, Analysis and Resource Provisioning [pdf]
Supervisors: Prof. Roman Vitenberg, Prof. Maarten van Steen
University of Oslo
Efficiently Identifying Interesting Time-points in Text Archives [pdf]
Supervisor: Prof. Dr-Ing. Gerhard Weikum, Advisors: Dr. Srikanta Bedathur and Dr-Ing. Klaus Berberich
Max-Planck Institute for Informatics, Saarland University