Kui LIU

About Kui LIU

Kui LIU, With an exceptional h-index of 19 and a recent h-index of 19 (since 2020), a distinguished researcher at Nanjing University of Aeronautics and Astronautics, specializes in the field of Automated program repair, Fix patterns mining, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Investigating White-Box Attacks for On-Device Models

Demystifying API misuses in deep learning applications

PyScribe–Learning to describe python code

Practical Program Repair via Preference-based Ensemble Strategy

Tips: towards automating patch suggestion for vulnerable smart contracts

Big Code Search: A Bibliography

How are we detecting inconsistent method names? an empirical study from code review perspective

Fine-grained Defect Localization Based on Pointer Neural Network

Kui LIU Information

University

Position

College of Computer Science and Technology

Citations(all)

2130

Citations(since 2020)

2102

Cited By

501

hIndex(all)

19

hIndex(since 2020)

19

i10Index(all)

29

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Kui LIU Skills & Research Interests

Automated program repair

Fix patterns mining

Deep Learning

Top articles of Kui LIU

Investigating White-Box Attacks for On-Device Models

2024/4/12

Demystifying API misuses in deep learning applications

Empirical Software Engineering

2024/3

PyScribe–Learning to describe python code

Software: Practice and Experience

2024/3

Practical Program Repair via Preference-based Ensemble Strategy

2024/2/6

Tips: towards automating patch suggestion for vulnerable smart contracts

Automated Software Engineering

2023/11

How are we detecting inconsistent method names? an empirical study from code review perspective

arXiv preprint arXiv:2308.12701

2023/8/24

Fine-grained Defect Localization Based on Pointer Neural Network

Journal of Software

2023/8/23

Understanding the quality and evolution of Android app build systems

to appear in Journal of Software: Evolution and Process

2024/2/1

Towards more realistic evaluation for neural test oracle generation

2023/7/12

Survey on Automated Vulnerability Repair

2023/6/14

The best of both worlds: Combining learned embeddings with engineered features for accurate prediction of correct patches

ACM Transactions on Software Engineering and Methodology

2023/5/27

Reliable fix patterns inferred from static checkers for automated program repair

ACM Transactions on Software Engineering and Methodology

2023/5/26

Survey on Vulnerability Detection Technology of Smart Contracts

2023/5/17

Towards automated Android app internationalisation: An exploratory study

Journal of Systems and Software

2023/3/1

App review driven collaborative bug finding

arXiv preprint arXiv:2301.02818

2023/1/7

DigBug—Pre/post-processing operator selection for accurate bug localization

Journal of Systems and Software

2022/7/1

Towards automatically repairing compatibility issues in published android apps

2022/5/21

Crex: Predicting patch correctness in automated repair of C programs through transfer learning of execution semantics

Information and Software Technology

2022/12/1

The best of both worlds: integrating semantic features with expert features for defect prediction and localization

2023/8/8

See List of Professors in Kui LIU University(Nanjing University of Aeronautics and Astronautics)

Co-Authors

academic-engine