World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
10543
World Ranking
7450
National Ranking
3244

Research.com Recognitions

  • 2017 - ACM Distinguished Member
  • 2012 - ACM Senior Member

Overview

Lucian Popa is affiliated with IBM in the United States and has contributed extensively to the field of computer science. Their primary focus lies in artificial intelligence, with significant work also spanning computer vision and pattern recognition, management science and operations research, molecular biology, and information systems.

Their scholarly output includes research centered on various topics such as topic modeling, natural language processing techniques, data quality and management, explainable artificial intelligence (XAI), machine learning and data classification, multimodal machine learning applications, and biomedical text mining and ontologies.

Notable recent publications by Lucian Popa include:

  • Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context, 2020, arXiv (Cornell University)
  • AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning, 2022, arXiv (Cornell University)
  • PARTNER: Human-in-the-Loop Entity Name Understanding with Deep Learning, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Leveraging Abstract Meaning Representation for Knowledge Base Question Answering, 2020, arXiv (Cornell University)
  • Ontology-Enriched Query Answering on Relational Databases, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Frequently collaborating with Lucian Popa are the following coauthors:

  • Krishnateja Killamsetty
  • Ganesh Ramakrishnan
  • Rishabh Iyer
  • Yunyao Li
  • Guttu Sai Abhishek

Their research has appeared predominantly in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE International Conference on Big Data (Big Data)

Lucian Popa's professional recognition includes being named an ACM Distinguished Member in 2017 and an ACM Senior Member in 2012.

Best Publications

  • Data exchange: semantics and query answering

    Ronald Fagin;Phokion G. Kolaitis;Renée J. Miller;Lucian Popa

  • Data Exchange: Semantics and Query Answering

    Ronald Fagin;Phokion G. Kolaitis;Renée J. Miller;Lucian Popa

  • Translating web data

    Lucian Popa;Yannis Velegrakis;Mauricio A. Hernández;Renée J. Miller

  • Data exchange: getting to the core

    Ronald Fagin;Phokion G. Kolaitis;Lucian Popa

  • The Clio project: managing heterogeneity

    Renée J. Miller;Mauricio A. Hernández;Laura M. Haas;Lingling Yan

  • Composing schema mappings: second-order dependencies to the rescue

    Ronald Fagin;Phokion G. Kolaitis;Lucian Popa;Wang-Chiew Tan

  • Clio grows up: from research prototype to industrial tool

    Laura M. Haas;Mauricio A. Hernández;Howard Ho;Lucian Popa

  • Clio: Schema Mapping Creation and Data Exchange

    Ronald Fagin;Laura M. Haas;Mauricio Hernández;Renée J. Miller

  • Constraint-based XML query rewriting for data integration

    Cong Yu;Lucian Popa

  • Mapping adaptation under evolving schemas

    Yannis Velegrakis;Renée J. Miller;Lucian Popa

  • Nested mappings: schema mapping reloaded

    Ariel Fuxman;Mauricio A. Hernandez;Howard Ho;Renee J. Miller

  • Semantic adaptation of schema mappings when schemas evolve

    Cong Yu;Lucian Popa

  • Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context

    Xinyi Zheng;Douglas Burdick;Lucian Popa;Xu Zhong

  • Method for schema mapping and data transformation

    Ronald Fagin;Laura Myers Haas;Mauricio Antonio Hernandez-Sherrington;Renee J. Miller

  • Query reformulation with constraints

    Alin Deutsch;Lucian Popa;Val Tannen

  • Physical Data Independence, Constraints, and Optimization with Universal Plans

    Alin Deutsch;Lucian Popa;Val Tannen

  • Low-resource Deep Entity Resolution with Transfer and Active Learning

    Jungo Kasai;Kun Qian;Sairam Gurajada;Yunyao Li

  • Quasi-inverses of schema mappings

    Ronald Fagin;Phokion G. Kolaitis;Lucian Popa;Wang-Chiew Tan

  • Preserving mapping consistency under schema changes

    Yannis Velegrakis;J. Miller;Lucian Popa

  • Composing schema mappings: Second-order dependencies to the rescue

    Unknown

  • Leveraging Abstract Meaning Representation for Knowledge Base Question Answering

    Pavan Kapanipathi;Ibrahim Abdelaziz;Srinivas Ravishankar;Salim Roukos

Frequent Co-Authors

Phokion G. Kolaitis
Phokion G. Kolaitis University of California, Santa Cruz
Ronald Fagin
Ronald Fagin IBM (United States)
Renée J. Miller
Renée J. Miller University of Toronto
Wang-Chiew Tan
Wang-Chiew Tan Facebook (United States)
Val Tannen
Val Tannen University of Pennsylvania
Georgia Koutrika
Georgia Koutrika Athena Research Center
Shivakumar Vaithyanathan
Shivakumar Vaithyanathan IBM (United States)
Alin Deutsch
Alin Deutsch University of California, San Diego
Laura M. Haas
Laura M. Haas University of Massachusetts Amherst
Felix Naumann
Felix Naumann Hasso Plattner Institute

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