World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6791
World Ranking
11115
National Ranking
150

Overview

Lingxiao Jiang is affiliated with Singapore Management University in Singapore. Their research is situated primarily within the field of Computer Science, with a focus on several subfields including Information Systems, Software, Signal Processing, Artificial Intelligence, and Computer Networks and Communications.

The scientist's recent publications cover topics related to software engineering and security. Selected papers include the following:

  • "Checking Smart Contracts With Structural Code Embedding," 2020, published in IEEE Transactions on Software Engineering
  • "TreeCaps: Tree-Based Capsule Networks for Source Code Processing," 2021, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Duplicate Bug Report Detection: How Far Are We?," 2022, published in ACM Transactions on Software Engineering and Methodology
  • "MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities," 2022, published in 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)
  • "MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings," 2022, published in Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

The main topics Lingxiao Jiang has worked on include:

  • Software Engineering Research
  • Advanced Malware Detection Techniques
  • Software Testing and Debugging Techniques
  • Software System Performance and Reliability
  • Software Reliability and Analysis Research
  • Blockchain Technology Applications and Security
  • Network Security and Intrusion Detection

Frequent co-authors collaborating with Lingxiao Jiang are:

  • David Lo
  • Ferdian Thung
  • Haoxin Tu
  • Ting Zhang
  • Ivana Clairine Irsan

Publication venues where Jiang's work appears frequently include:

  • arXiv (Cornell University)
  • Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
  • IEEE Transactions on Software Engineering
  • Empirical Software Engineering
  • ACM Transactions on Software Engineering and Methodology

Best Publications

  • DECKARD: Scalable and Accurate Tree-Based Detection of Code Clones

    Lingxiao Jiang;Ghassan Misherghi;Zhendong Su;Stephane Glondu

  • Scalable detection of semantic clones

    Mark Gabel;Lingxiao Jiang;Zhendong Su

  • Context-based detection of clone-related bugs

    Lingxiao Jiang;Zhendong Su;Edwin Chiu

  • Network Structure of Social Coding in GitHub

    F. Thung;T. F. Bissyande;D. Lo;Lingxiao Jiang

  • Automatic mining of functionally equivalent code fragments via random testing

    Lingxiao Jiang;Zhendong Su

  • Real-time trip information service for a large taxi fleet

    Rajesh Krishna Balan;Khoa Xuan Nguyen;Lingxiao Jiang

  • Got issues? Who cares about it? A large scale investigation of issue trackers from GitHub

    Tegawende F. Bissyande;David Lo;Lingxiao Jiang;Laurent Reveillere

  • An empirical study on developer interactions in StackOverflow

    Shaowei Wang;David Lo;Lingxiao Jiang

  • Context-aware statistical debugging: from bug predictors to faulty control flow paths

    Lingxiao Jiang;Zhendong Su

  • Popularity, Interoperability, and Impact of Programming Languages in 100,000 Open Source Projects

    Tegawende F. Bissyande;Ferdian Thung;David Lo;Lingxiao Jiang

  • An Empirical Study of Bugs in Machine Learning Systems

    Ferdian Thung;Shaowei Wang;David Lo;Lingxiao Jiang

  • Automatic Defect Categorization

    Ferdian Thung;David Lo;Lingxiao Jiang

  • Extended comprehensive study of association measures for fault localization

    Lucia Lucia;David Lo;Lingxiao Jiang;Ferdian Thung

  • Checking Smart Contracts with Structural Code Embedding

    Zhipeng Gao;Lingxiao Jiang;Xin Xia;David Lo

  • Sentiment Analysis for Software Engineering: How Far Can Pre-trained Transformer Models Go?

    Ting Zhang;Bowen Xu;Ferdian Thung;Stefanus Agus Haryono

  • InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees

    Nghi D. Q. Bui;Yijun Yu;Lingxiao Jiang

  • Empirical Evaluation of Bug Linking

    T. F. Bissyande;F. Thung;Shaowei Wang;D. Lo

  • An Empirical Study of Adoption of Software Testing in Open Source Projects

    Pavneet Singh Kochhar;Tegawende F. Bissyande;David Lo;Lingxiao Jiang

  • Concern Localization using Information Retrieval: An Empirical Study on Linux Kernel

    Shaowei Wang;David Lo;Zhenchang Xing;Lingxiao Jiang

  • Inferring semantically related software terms and their taxonomy by leveraging collaborative tagging

    Shaowei Wang;David Lo;Lingxiao Jiang

  • Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations

    Nghi D. Q. Bui;Yijun Yu;Lingxiao Jiang

Frequent Co-Authors

David Lo
David Lo Singapore Management University
Ferdian Thung
Ferdian Thung Singapore Management University
Yijun Yu
Yijun Yu The Open University
Julia Lawall
Julia Lawall French Institute for Research in Computer Science and Automation - INRIA
Zhendong Su
Zhendong Su ETH Zurich
Gilles Muller
Gilles Muller French Institute for Research in Computer Science and Automation - INRIA
Tegawendé F. Bissyandé
Tegawendé F. Bissyandé University of Luxembourg
Xin Xia
Xin Xia Huawei Technologies (China)
Jianjun Zhao
Jianjun Zhao Kyushu University
Hongyu Zhang
Hongyu Zhang Chongqing University

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