World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
9435
World Ranking
5139
National Ranking
2365

Overview

Vincent Ng is affiliated with The University of Texas at Dallas in the United States. Their research primarily focuses on computer science, with a concentration on software engineering and related subfields.

The main fields of study in Vincent Ng's work include:

  • Computer Science

Within this broad field, the following subfields of study are notably represented:

  • Information Systems
  • Artificial Intelligence
  • Software
  • Computer Networks and Communications
  • Political Science and International Relations

The research topics covered by Vincent Ng emphasize areas such as:

  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Topic Modeling
  • Software Testing and Debugging Techniques
  • Natural Language Processing Techniques
  • Artificial Intelligence in Law
  • Advanced Malware Detection Techniques

Vincent Ng has contributed to multiple research papers, some of the more recent papers include:

  • "SPT-code" (2022), published in the Proceedings of the 44th International Conference on Software Engineering
  • "Machine/Deep Learning for Software Engineering: A Systematic Literature Review" (2022), IEEE Transactions on Software Engineering
  • "Legal Judgment Prediction: A Survey of the State of the Art" (2022), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • "Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code" (2022), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • "Predicting Product Review Helpfulness - A Hybrid Method" (2020), IEEE Transactions on Services Computing

Frequent co-authors collaborating with Vincent Ng include:

  • Changan Niu
  • Jidong Ge
  • Chuanyi Li
  • Bin Luo

Vincent Ng's work has been published across a variety of venues, including:

  • arXiv (Cornell University)
  • ACM Transactions on Software Engineering and Methodology
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • Proceedings of the 44th International Conference on Software Engineering
  • IEEE Transactions on Software Engineering

Best Publications

  • Improving Machine Learning Approaches to Coreference Resolution

    Vincent Ng;Claire Cardie

  • Automatic Keyphrase Extraction: A Survey of the State of the Art

    Kazi Saidul Hasan;Vincent Ng

  • Supervised Noun Phrase Coreference Research: The First Fifteen Years

    Vincent Ng

  • Examining the Role of Linguistic Knowledge Sources in the Automatic Identification and Classification of Reviews

    Vincent Ng;Sajib Dasgupta;S. M. Niaz Arifin

  • Unsupervised Models for Coreference Resolution

    Altaf Rahman;Vincent Ng

  • Identifying anaphoric and non-anaphoric noun phrases to improve coreference resolution

    Vincent Ng;Claire Cardie

  • Conundrums in Unsupervised Keyphrase Extraction: Making Sense of the State-of-the-Art

    Kazi Saidul Hasan;Vincent Ng

  • Mine the Easy, Classify the Hard: A Semi-Supervised Approach to Automatic Sentiment Classification

    Sajib Dasgupta;Vincent Ng

  • Stance Classification of Ideological Debates: Data, Models, Features, and Constraints

    Kazi Saidul Hasan;Vincent Ng

  • Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates

    Kazi Saidul Hasan;Vincent Ng

  • Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation

    Sameer Pradhan;Xiaoqiang Luo;Marta Recasens;Eduard Hovy

  • Automated Essay Scoring: A Survey of the State of the Art.

    Zixuan Ke;Vincent Ng

  • Supervised Models for Coreference Resolution

    Unknown

  • Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge

    Altaf Rahman;Vincent Ng

  • Modeling Argument Strength in Student Essays

    Isaac Persing;Vincent Ng

  • Weakly supervised natural language learning without redundant views

    Vincent Ng;Claire Cardie

  • Coreference Resolution with World Knowledge

    Altaf Rahman;Vincent Ng

  • Detecting missing information in bug descriptions

    Oscar Chaparro;Jing Lu;Fiorella Zampetti;Laura Moreno

  • Multidocument summarization via information extraction

    Michael White;Tanya Korelsky;Claire Cardie;Vincent Ng

  • End-to-end argumentation mining in student essays

    Isaac Persing;Vincent Ng

  • Machine Learning for Coreference Resolution: From Local Classification to Global Ranking

    Vincent Ng

Frequent Co-Authors

Claire Cardie
Claire Cardie Cornell University
Andrian Marcus
Andrian Marcus The University of Texas at Dallas
Latifur Khan
Latifur Khan The University of Texas at Dallas
Yang Liu
Yang Liu Nanyang Technological University
Denys Poshyvanyk
Denys Poshyvanyk William & Mary
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Mehrdad Nourani
Mehrdad Nourani The University of Texas at Dallas
Eduard Hovy
Eduard Hovy Carnegie Mellon University
Qin Lu
Qin Lu Hong Kong Polytechnic University
Gabriele Bavota
Gabriele Bavota Universita della Svizzera Italiana

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