Research Interests

My research area broadly includes information retrieval and text mining involving unstructured textual documents as well as structured knowledge graphs. Specifically, automated fact-checking, question answering and coversational search over knowledge graphs. These days I am spending more time on my startup Factiverse. In past I have worked on news event mining, ranking and recommendation etc. My past research areas also include designing systems and algorithms for scalable publish/subscribe systems with applications to social networks.

Projects

MediaFutures Research Centre for Responsible Media Technology and Innovation, headed by University of Bergen, Norway

Qweb Querying the Web of Data easily and efficiently, headed by Katja Hose

Teaching

• [2017-present] Data Mining and Deep Learning (Masters course - Spring semesters) Course Page
• [2019-present] Advanced Programming (Bachelors course - Fall semesters) Course Page
• [2017 - 2019] Operating Systems (University of Stavanger)
• [Spring 2017] Data Mining for IT-VEST (Aalborg University)
• [Summer 2016] Advanced Topics in Information Retrieval (Saarland University)
• [Summer 2015] Seminar on Massive-Scale Graph Analysis (Saarland University)

Past Positions

• [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

Publications

For more up to date list of publications see: DBLP, Google Scholar
• Semantic Answer Type Prediction using BERT IAI at the ISWC SMART Task 2020.
  Vinay Setty, Krisztian Balog
  SMART@ISWC 2020: 10-18
  PDF
• Truth be Told: Fake News Detection Using User Reactions on Reddit
  Vinay Setty, Erlend Rekve
  in CIKM 2020 (Poster)
  PDF
• Efficient Continuous Multi-Query Processing over Graph Streams
  Lefteris Zervakis, Vinay Setty, Christos Tryfonopoulos and Katja Hose
  in EDBT 2020
  PDF
• A Comparative Study for Unsupervised Network Representation Learning
  Megha Khosla, Vinay Setty and Avishek Anand
  in IEEE Transactions on Knowledge and Data Engineering 2019( Early Access)
  PDF
• SADHAN: Hierarchical Attention Networks to Learn Latent Aspect Embeddings for Fake News Detection
  Rahul Mishra and Vinay Setty
  in ICTIR 2019
  PDF
• Event2Vec: Neural Embeddings for News Events
  Vinay Setty and Katja Hose
  in SIGIR 2018 (Short paper)
  PDF
• Discovering Diversified Paths in Knowledge Bases.
  Christian Aebeloe, Gabriela Montoya, Vinay Setty and Katja Hose
  in VLDB 2018 (Demo paper)
  PDF
• 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.
  PDF
• Modeling Event Importance for Ranking Daily News Events
  Vinay Setty, Abhijit Anand, Arunav Mishra, Avishek Anand
  in WSDM 2017. PDF, 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.
  PDF
• As Time Goes By: Comprehensive Tagging of Textual Phrases with Temporal Scopes
  Erdal Kuyez, Vinay Setty, Jannik Stroetgen, Gerhard Weikum
  in WWW 2016.
  PDF
• 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
  PDF
• 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)
  PDF
• 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.
  PDF
• 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.

Education

• September, 2010 - August, 2014
  Ph. D.
  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
• MSc.
  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
  

Copyright © 2023 Vinay Setty