Inferring semantically related words from software context. - Jinqiu Yang 001; Lin Tan 001 (MSR, 2012)

Generating precise dependencies for large software. - Pei Wang; Jinqiu Yang 001; Lin Tan 001; Robert Kroeger; J. David Morgenthaler (MTD@ICSE, 2013)

R2Fix: Automatically Generating Bug Fixes from Bug Reports. - Chen Liu; Jinqiu Yang 001; Lin Tan 001; Munawar Hafiz (ICST, 2013)

AutoComment: Mining question and answer sites for automatic comment generation. - Edmund Wong; Jinqiu Yang 001; Lin Tan 001 (ASE, 2013)

SWordNet: Inferring semantically related words from software context. - Jinqiu Yang 001; Lin Tan 001 (Empir. Softw. Eng., 2014)

An empirical study on the practice of maintaining object-relational mapping code in Java systems. - Tse-Hsun Chen; Weiyi Shang; Jinqiu Yang 001; Ahmed E. Hassan; Michael W. Godfrey; Mohamed N. Nasser; Parminder Flora (MSR, 2016)

Better test cases for better automated program repair. - Jinqiu Yang 001; Alexey Zhikhartsev; Yuefei Liu; Lin Tan 001 (ESEC/SIGSOFT FSE, 2017)

Towards extracting web API specifications from documentation. - Jinqiu Yang 001; Erik Wittern; Annie T. T. Ying; Julian Dolby; Lin Tan 001 (MSR, 2018)

Automatically Extracting Web API Specifications from HTML Documentation. - Jinqiu Yang 001; Erik Wittern; Annie T. T. Ying; Julian Dolby; Lin Tan 001 (CoRR, 2018)

Improving the Correctness of Automated Program Repair. - Jinqiu Yang 001 (2018)

Towards better utilizing static application security testing. - Jinqiu Yang 001; Lin Tan 001; John Peyton; Kristofer A. Duer (ICSE (SEIP), 2019)

Dlfinder: characterizing and detecting duplicate logging code smells. - Zhenhao Li 002; Tse-Hsun (Peter) Chen; Jinqiu Yang 001; Weiyi Shang (ICSE, 2019)

A Study of Oracle Approximations in Testing Deep Learning Libraries. - Mahdi Nejadgholi; Jinqiu Yang 001 (ASE, 2019)

Exploring Bluetooth Communication Protocols in Internet-of-Things Software Development. - Tri Minh Triet Pham; Jinqiu Yang 001 (ICSME, 2020)

A First Look at the Deprecation of RESTful APIs: An Empirical Study. - Jerin Yasmin; Yuan Tian 008; Jinqiu Yang 001 (ICSME, 2020)

The Secret Life of Commented-Out Source Code. - Tri Minh Triet Pham; Jinqiu Yang 001 (ICPC, 2020)

A first look at the integration of machine learning models in complex autonomous driving systems: a case study on Apollo. - Zi Peng; Jinqiu Yang 001; Tse-Hsun (Peter) Chen; Lei Ma 003 (ESEC/SIGSOFT FSE, 2020)

Studying Test Annotation Maintenance in the Wild. - Dong Jae Kim; Nikolaos Tsantalis; Tse-Hsun Peter Chen; Jinqiu Yang 001 (ICSE, 2021)

How disabled tests manifest in test maintainability challenges? - Dong Jae Kim; Bo Yang 058; Jinqiu Yang 001; Tse-Hsun (Peter) Chen (ESEC/SIGSOFT FSE, 2021)

The secret life of test smells - an empirical study on test smell evolution and maintenance. - Dong Jae Kim; Tse-Hsun (Peter) Chen; Jinqiu Yang 001 (Empir. Softw. Eng., 2021)

DiffWatch: Watch Out for the Evolving Differential Testing in Deep Learning Libraries. - Alexander Prochnow; Jinqiu Yang 001 (ICSE-Companion, 2022)

On the usage and development of deep learning compilers: an empirical study on TVM. - Xiongfei Wu; Jinqiu Yang 001; Lei Ma 003; Yinxing Xue; Jianjun Zhao 001 (Empir. Softw. Eng., 2022)

Studying Duplicate Logging Statements and Their Relationships With Code Clones. - Zhenhao Li 002; Tse-Hsun Chen; Jinqiu Yang 001; Weiyi Shang (IEEE Trans. Software Eng., 2022)

Revisiting Test Impact Analysis in Continuous Testing From the Perspective of Code Dependencies. - Zi Peng; Tse-Hsun Chen; Jinqiu Yang 001 (IEEE Trans. Software Eng., 2022)

StaticTracker: A Diff Tool for Static Code Warnings. - Junjie Li; Jinqiu Yang 001 (ICSME, 2023)

A Survey on Query-based API Recommendation. - Moshi Wei; Nima Shiri Harzevili; Alvine Boaye Belle; Junjie Wang 001; Lin Shi 006; Jinqiu Yang 001; Song Wang 009; Zhen Ming Jiang (CoRR, 2023)

Automated Generation and Evaluation of JMH Microbenchmark Suites From Unit Tests. - Mostafa Jangali; Yiming Tang 002; Niclas Alexandersson; Philipp Leitner 001; Jinqiu Yang 001; Weiyi Shang (IEEE Trans. Software Eng., 2023)

CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing. - Moshi Wei; Yuchao Huang; Jinqiu Yang 001; Junjie Wang 001; Song Wang 009 (IEEE Trans. Reliab., 2023)

DVC in Open Source ML-development: The Action and the Reaction. - Lorena Barreto Simedo Pacheco; Musfiqur Rahman; Fazle Rabbi; Pouya Fathollahzadeh; Ahmad Abdellatif; Emad Shihab; Tse-Hsun (Peter) Chen; Jinqiu Yang 001; Ying Zou 001 (CAIN, 2024)

Fine Tuning Large Language Model for Secure Code Generation. - Junjie Li; Aseem Sangalay; Cheng Cheng; Yuan Tian 008; Jinqiu Yang 001 (FORGE, 2024)

A First Look at the Inheritance-Induced Redundant Test Execution. - Dong Jae Kim; Jinqiu Yang 001; Tse-Hsun Chen (ICSE, 2024)

Demystifying and Detecting Misuses of Deep Learning APIs. - Moshi Wei; Nima Shiri Harzevili; Yuekai Huang; Jinqiu Yang 001; Junjie Wang 001; Song Wang 009 (ICSE, 2024)

SITAR: Evaluating the Adversarial Robustness of Traffic Light Recognition in Level-4 Autonomous Driving. - Bo Yang 058; Jinqiu Yang 001 (IV, 2024)

Leveraging Stack Traces for Spectrum-based Fault Localization in the Absence of Failing Tests. - Lorena Barreto Simedo Pacheco; An Ran Chen; Jinqiu Yang 001; Tse-Hsun Chen (CoRR, 2024)

An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation. - Junjie Li; Fazle Rabbi; Cheng Cheng; Aseem Sangalay; Yuan Tian 008; Jinqiu Yang 001 (CoRR, 2024)

Evaluating the Robustness of LiDAR-based 3D Obstacles Detection and Its Impacts on Autonomous Driving Systems. - Tri Minh Triet Pham; Bo Yang 058; Jinqiu Yang 001 (CoRR, 2024)

Perception-Guided Fuzzing for Simulated Scenario-Based Testing of Autonomous Driving Systems. - Tri Minh Triet Pham; Bo Yang 058; Jinqiu Yang 001 (CoRR, 2024)

Evaluating and Improving the Robustness of LiDAR-based Localization and Mapping. - Bo Yang 058; Tri Minh Triet Pham; Jinqiu Yang 001 (CoRR, 2024)

Checker Bug Detection and Repair in Deep Learning Libraries. - Nima Shiri Harzevili; Mohammad Mahdi Mohajer; Jiho Shin; Moshi Wei; Gias Uddin 001; Jinqiu Yang 001; Junjie Wang 001; Song Wang 009; Zhen Ming Jiang; Nachiappan Nagappan (CoRR, 2024)

Specification-Driven Code Translation Powered by Large Language Models: How Far Are We? - Soumit Kanti Saha; Fazle Rabbi; Song Wang 009; Jinqiu Yang 001 (CoRR, 2024)

Automatically Detecting Checked-In Secrets in Android Apps: How Far Are We? - Kevin Li; Lin Ling; Jinqiu Yang 001; Lili Wei 001 (CoRR, 2024)

Tracking the Evolution of Static Code Warnings: The State-of-the-Art and a Better Approach. - Junjie Li; Jinqiu Yang 001 (IEEE Trans. Software Eng., 2024)

Bias Unveiled: Investigating Social Bias in LLM-Generated Code. - Lin Ling; Fazle Rabbi; Song Wang 009; Jinqiu Yang 001 (AAAI, 2025)

Time to Retrain? Detecting Concept Drifts in Machine Learning Systems. - Tri Minh Triet Pham; Karthikeyan Premkumar; Mohamed Naili; Jinqiu Yang 001 (SEIP@ICSE, 2025)

Generalization of Urban Wind Environment Using Fourier Neural Operator Across Different Wind Directions and Cities. - Cheng Chen; Geng Tian; Shaoxiang Qin; Senwen Yang; Dingyang Geng; Dongxue Zhan; Jinqiu Yang 001; David Vidal; Liangzhu Leon Wang (CoRR, 2025)

Towards effectively testing machine translation systems from white-box perspectives. - Hanying Shao; Zishuo Ding; Weiyi Shang; Jinqiu Yang 001; Nikolaos Tsantalis (Empir. Softw. Eng., 2025)

MANTRA: Enhancing Automated Method-Level Refactoring with Contextual RAG and Multi-Agent LLM Collaboration. - Yisen Xu; Feng Lin; Jinqiu Yang 001; Tse-Hsun Chen; Nikolaos Tsantalis (CoRR, 2025)

RobuNFR: Evaluating the Robustness of Large Language Models on Non-Functional Requirements Aware Code Generation. - Feng Lin; Dong Jae Kim; Zhenhao Li 002; Jinqiu Yang 001; Tse-Hsun (Peter) Chen (CoRR, 2025)

A Multi-Language Perspective on the Robustness of LLM Code Generation. - Fazle Rabbi; Zushuo Ding; Jinqiu Yang 001 (CoRR, 2025)