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Computer Science

D-Index
37
Citations
9594
World Ranking
10498
National Ranking
4394

Overview

Kaushik Chakrabarti is affiliated with Microsoft in the United States, where their research focuses on several areas within computer science and decision sciences. Their work encompasses a number of subfields, including artificial intelligence, information systems, management science and operations research, and signal processing.

The main topics addressed in their research include topic modeling, web data mining and analysis, data quality and management, and data management and algorithms. These areas highlight an emphasis on data-driven methodologies and the handling of large, complex data sets.

Kaushik Chakrabarti's publication record features contributions primarily in the venue arXiv (Cornell University). Among the recent papers authored or co-authored by them are:

  • TableQnA: Answering List Intent Queries With Web Tables, 2020, arXiv (Cornell University)
  • Open Domain Question Answering Using Web Tables, 2020, arXiv (Cornell University)

They have also collaborated on work outside their sole authorship, such as:

  • Hybrid Ranking Network for Text-to-SQL, 2020, arXiv (Cornell University)

Kaushik Chakrabarti frequently collaborates with other researchers in their field. The most frequent co-authors include Siamak Shakeri and Guihong Cao, each with multiple joint publications. Other collaborators include Qin Lyu, Shobhit Hathi, and Souvik Kundu.

The combination of research topics and co-authorship relationships reflects a focus on understanding and improving data access and interpretation within web and structured database contexts. Their studies contribute to domain knowledge in processing and analyzing tables for question answering and data retrieval tasks.

Best Publications

  • Dimensionality reduction for fast similarity search in large time series databases

    Eamonn J. Keogh;Kaushik Chakrabarti;Michael J. Pazzani;Sharad Mehrotra

  • Locally adaptive dimensionality reduction for indexing large time series databases

    Eamonn Keogh;Kaushik Chakrabarti;Michael Pazzani;Sharad Mehrotra

  • Approximate Query Processing Using Wavelets

    Kaushik Chakrabarti;Minos N. Garofalakis;Rajeev Rastogi;Kyuseok Shim

  • Locally adaptive dimensionality reduction for indexing large time series databases

    Kaushik Chakrabarti;Eamonn Keogh;Sharad Mehrotra;Michael Pazzani

  • Supporting similarity queries in MARS

    Michael Ortega;Yong Rui;Kaushik Chakrabarti;Sharad Mehrotra

  • The hybrid tree: an index structure for high dimensional feature spaces

    K. Chakrabarti;S. Mehrotra

  • Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces

    Kaushik Chakrabarti;Sharad Mehrotra

  • Supporting ranked Boolean similarity queries in MARS

    M. Ortega;Y. Rui;K. Chakrabarti;K. Porkaew

  • InfoGather: entity augmentation and attribute discovery by holistic matching with web tables

    Mohamed Yakout;Kris Ganjam;Kaushik Chakrabarti;Surajit Chaudhuri

  • Query refinement for multimedia similarity retrieval in MARS

    Kriengkrai Porkaew;Kaushik Chakrabarti

  • Fast personalized PageRank on MapReduce

    Bahman Bahmani;Kaushik Chakrabarti;Dong Xin

  • Automatic categorization of query results

    Kaushik Chakrabarti;Surajit Chaudhuri;Seung-won Hwang

  • An efficient filter for approximate membership checking

    Kaushik Chakrabarti;Surajit Chaudhuri;Venkatesh Ganti;Dong Xin

  • Discovering queries based on example tuples

    Yanyan Shen;Kaushik Chakrabarti;Surajit Chaudhuri;Bolin Ding

  • Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee

    Bolin Ding;Silu Huang;Surajit Chaudhuri;Kaushik Chakrabarti

  • InfoGather+: semantic matching and annotation of numeric and time-varying attributes in web tables

    Meihui Zhang;Kaushik Chakrabarti

  • Ranking objects based on relationships

    Kaushik Chakrabarti;Venkatesh Ganti;Jiawei Han;Dong Xin

  • Similar shape retrieval in MARS

    K. Chakrabarti;M. Ortega-Binderberger;K. Porkaew;S. Mehrotra

  • X-SQL: reinforce schema representation with context.

    Pengcheng He;Yi Mao;Kaushik Chakrabarti;Weizhu Chen

  • An Approach to Integrating Query Refinement in SQL

    Michael Ortega-Binderberger;Kaushik Chakrabarti;Sharad Mehrotra

Frequent Co-Authors

Surajit Chaudhuri
Surajit Chaudhuri Microsoft (United States)
Sharad Mehrotra
Sharad Mehrotra University of California, Irvine
Dong Xin
Dong Xin Google (United States)
Venkatesh Ganti
Venkatesh Ganti Microsoft (United States)
Vivek Narasayya
Vivek Narasayya Microsoft (United States)
Bolin Ding
Bolin Ding Alibaba Group (United States)
Eamonn Keogh
Eamonn Keogh University of California, Riverside
Michael J. Pazzani
Michael J. Pazzani University of California, Riverside
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Sumit Gulwani
Sumit Gulwani Microsoft (United States)

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