Yuan Tian

93 papers A* 5A 16C 1Misc 1Journal 50Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
An exploratory study on fine-tuning large language models for secure code generation.
Empir. Softw. Eng.
Junjie Li, Fazle Rabbi, Cheng Cheng, Aseem Sangalay, Yuan Tian, Jinqiu Yang
2026 J jnl
Deeply fusing transformer model and information retrieval with cross attention for source code summarization.
Autom. Softw. Eng.
Rongcun Wang, Chenkun Chang, Xiang Chen, Yuan Tian, Rubing Huang
2026 J jnl
Output format biases in the evaluation of large language models for code translation.
Empir. Softw. Eng.
Marcos Macedo, Yuan Tian, Filipe Roseiro Côgo, Bram Adams
2025 J jnl
An empirical study of developers' challenges in implementing Workflows as Code: A case study on Apache Airflow.
J. Syst. Softw.
Jerin Yasmin, Jiale Amber Wang, Yuan Tian, Bram Adams
2025 J jnl
Fixer-level supervised contrastive learning for bug assignment.
Empir. Softw. Eng.
Rongcun Wang, Xingyu Ji, Yuan Tian, Senlei Xu, Xiaobing Sun, Shujuan Jiang
2025 A* conf
INTERTRANS: Leveraging Transitive Intermediate Translations to Enhance LLM-Based Code Translation.
ICSE
Marcos Macedo, Yuan Tian, Pengyu Nie, Filipe Roseiro Côgo, Bram Adams
2025 J jnl
Obfuscated Clone Search in JavaScript based on Reinforcement Subsequence Learning.
ACM Trans. Softw. Eng. Methodol.
Leo Song, Steven H. H. Ding, Yuan Tian, Li Tao Li, Weihan Ou, Philippe Charland, Andrew Walenstein
2025 J jnl
Report on the 5th Workshop on Human Centric Software Engineering & Cyber Security (HCSE&CS 2024).
ACM SIGSOFT Softw. Eng. Notes
Mohan Baruwal Chhetri, Xiao Liu, Thuong Hoang, Karen Renaud, Chetan Arora, Yuan Tian, Yue Huang
2025 J jnl
Software Dependencies 2.0: An Empirical Study of Reuse and Integration of Pre-Trained Models in Open-Source Projects.
CoRR
Jerin Yasmin, Wenxin Jiang, James C. Davis, Yuan Tian
2025 A conf
Understanding Abandonment and Slowdown Dynamics in the Maven Ecosystem.
MSR
Kazi Amit Hasan, Jerin Yasmin, Huizi Hao, Yuan Tian, Safwat Hassan, Steven H. H. Ding
2025 J jnl
Understanding Abandonment and Slowdown Dynamics in the Maven Ecosystem.
CoRR
Kazi Amit Hasan, Jerin Yasmin, Huizi Hao, Yuan Tian, Safwat Hassan, Steven H. H. Ding
2025 J jnl
Understanding the Effectiveness of LLMs in Automated Self-Admitted Technical Debt Repayment.
CoRR
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang, Bowen Xu
2025 J jnl
XL-HQL: A HQL query generation method via XLNet and column attention.
Inf. Softw. Technol.
Rongcun Wang, Yiqian Hou, Yuan Tian, Zhanqi Cui, Shujuan Jiang
2025 J jnl
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets Using LLMs.
ACM Trans. Softw. Eng. Methodol.
Azmain Kabir, Shaowei Wang, Yuan Tian, Tse-Hsun (Peter) Chen, Muhammad Asaduzzaman, Wenbin Zhang
2024 J jnl
A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models.
CoRR
Yixi Wu, Pengfei He, Zehao Wang, Shaowei Wang, Yuan Tian, Tse-Hsun Chen
2024 J jnl
A First Look at Information Highlighting in Stack Overflow Answers.
CoRR
Shahla Shaan Ahmed, Shaowei Wang, Yuan Tian, Tse-Hsun Chen, Haoxiang Zhang
2024 — conf
A First Look at Self-Admitted Miscommunications in GitHub Issues.
ASE Workshops
Kazi Amit Hasan, Vu Thanh Loc Mai, Cynthia Wang, Yuan Tian, Steven H. H. Ding
2024 J jnl
An Empirical Study of Developers' Challenges in Implementing Workflows as Code: A Case Study on Apache Airflow.
CoRR
Jerin Yasmin, Jiale Wang, Yuan Tian, Bram Adams
2024 J jnl
An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues.
CoRR
Huizi Hao, Kazi Amit Hasan, Hong Qin, Marcos Macedo, Yuan Tian, Steven H. H. Ding, Ahmed E. Hassan
2024 J jnl
An Empirical Study on the Effectiveness of Large Language Models for SATD Identification and Classification.
CoRR
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang, Bowen Xu
2024 J jnl
An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation.
CoRR
Junjie Li, Fazle Rabbi, Cheng Cheng, Aseem Sangalay, Yuan Tian, Jinqiu Yang
2024 J jnl
An empirical assessment of different word embedding and deep learning models for bug assignment.
J. Syst. Softw.
Rongcun Wang, Xingyu Ji, Senlei Xu, Yuan Tian, Shujuan Jiang, Rubing Huang
2024 J jnl
An empirical study on developers' shared conversations with ChatGPT in GitHub pull requests and issues.
Empir. Softw. Eng.
Huizi Hao, Kazi Amit Hasan, Hong Qin, Marcos Macedo, Yuan Tian, Steven H. H. Ding, Ahmed E. Hassan
2024 J jnl
An empirical study on the effectiveness of large language models for SATD identification and classification.
Empir. Softw. Eng.
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang, Bowen Xu
2024 J jnl
An extensive study of the effects of different deep learning models on code vulnerability detection in Python code.
Autom. Softw. Eng.
Rongcun Wang, Senlei Xu, Xingyu Ji, Yuan Tian, Lina Gong, Ke Wang
2024 J jnl
Chain-of-Experts (CoE): Reverse Engineering Software Bills of Materials for JavaScript Application Bundles through Code Clone Search.
CoRR
Leo Song, Steven H. H. Ding, Yuan Tian, Li Tao Li, Philippe Charland, Andrew Walenstein
2024 — conf
Engaging with AI: An Exploratory Study on Developers' Sharing and Reactions to ChatGPT in GitHub Pull Requests.
ASE Workshops
Huizi Hao, Yuan Tian
2024 — conf
Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation.
FORGE
Marcos Macedo, Yuan Tian, Filipe Roseiro Côgo, Bram Adams
2024 J jnl
Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation.
CoRR
Marcos Macedo, Yuan Tian, Filipe Roseiro Côgo, Bram Adams
2024 — conf
Fine Tuning Large Language Model for Secure Code Generation.
FORGE
Junjie Li, Aseem Sangalay, Cheng Cheng, Yuan Tian, Jinqiu Yang
2024 J jnl
InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation.
CoRR
Marcos Macedo, Yuan Tian, Pengyu Nie, Filipe Roseiro Côgo, Bram Adams
2024 A conf
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software.
MSR
Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis
2024 J jnl
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software.
CoRR
Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis
2024 J jnl
SCL-CVD: Supervised contrastive learning for code vulnerability detection via GraphCodeBERT.
Comput. Secur.
Rongcun Wang, Senlei Xu, Yuan Tian, Xingyu Ji, Xiaobing Sun, Shujuan Jiang
2024 J jnl
Studying and recommending information highlighting in Stack Overflow answers.
Inf. Softw. Technol.
Shahla Shaan Ahmed, Shaowei Wang, Yuan Tian, Tse-Hsun (Peter) Chen, Haoxiang Zhang
2024 J jnl
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT.
CoRR
Azmain Kabir, Shaowei Wang, Yuan Tian, Tse-Hsun Chen, Muhammad Asaduzzaman, Wenbin Zhang
2023 J jnl
A Study of Update Request Comments in Stack Overflow Answer Posts.
CoRR
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang
2023 J jnl
A study of update request comments in Stack Overflow answer posts.
J. Syst. Softw.
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang
2023 J jnl
An Empirical Study on GitHub Pull Requests' Reactions.
ACM Trans. Softw. Eng. Methodol.
Mohamed Amine Batoun, Ka Lai Yung, Yuan Tian, Mohammed Sayagh
2023 C conf
Analyzing Gamer Complaints in Reviews of Cross-Platform Video Games on Steam.
CoG
Hanwen Hu, Yuan Tian, Safwat Hassan, Dayi Lin
2023 — conf
Automated Self-Admitted Technical Debt Tracking at Commit-Level: A Language-independent Approach.
TechDebt@ICSE
Mohammad Sadegh Sheikhaei, Yuan Tian
2023 J jnl
Automated Self-Admitted Technical Debt Tracking at Commit-Level: A Language-independent Approach.
CoRR
Mohammad Sadegh Sheikhaei, Yuan Tian
2023 J jnl
PeaTMOSS: Mining Pre-Trained Models in Open-Source Software.
CoRR
Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajeev Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis
2023 J jnl
SCS-Gan: Learning Functionality-Agnostic Stylometric Representations for Source Code Authorship Verification.
IEEE Trans. Software Eng.
Weihan Ou, Steven H. H. Ding, Yuan Tian, Leo Song
2023 J jnl
Understanding the Time to First Response In GitHub Pull Requests.
CoRR
Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, Steven H. H. Ding
2023 A conf
Understanding the Time to First Response in GitHub Pull Requests.
MSR
Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, Steven H. H. Ding
2023 J jnl
VulANalyzeR: Explainable Binary Vulnerability Detection with Multi-task Learning and Attentional Graph Convolution.
ACM Trans. Priv. Secur.
Litao Li, Steven H. H. Ding, Yuan Tian, Benjamin C. M. Fung, Philippe Charland, Weihan Ou, Leo Song, Congwei Chen
2023 — conf
Vulnerability of Open-Source Face Recognition Systems to Blackbox Attacks: A Case Study with InsightFace.
SSCI
Nafiz Sadman, Kazi Amit Hasan, Elyas Rashno, Furkan Alaca, Yuan Tian, Farhana H. Zulkernine
2022 J jnl
A First Look at Duplicate and Near-duplicate Self-admitted Technical Debt Comments.
CoRR
Jerin Yasmin, Mohammad Sadegh Sheikhaei, Yuan Tian
2022 A conf
A First Look at Information Highlighting in Stack Overflow Answers.
ICSME
Shahla Shaan Ahmed, Shaowei Wang, Haoxiang Zhang, Tse-Hsun Chen, Yuan Tian
2022 A conf
A first look at duplicate and near-duplicate self-admitted technical debt comments.
ICPC
Jerin Yasmin, Mohammad Sadegh Sheikhaei, Yuan Tian
2022 — conf
Adoption of Third-party Libraries in Mobile Apps: A Case Study on Open-source Android Applications.
MOBILESoft
Aidan Polese, Safwat Hassan, Yuan Tian
2022 J jnl
Joined Type Length Encoding for Nested Named Entity Recognition.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Mohammad Sadegh Sheikhaei, Hasan Zafari, Yuan Tian
2022 A conf
XAI4FL: enhancing spectrum-based fault localization with explainable artificial intelligence.
ICPC
Ratnadira Widyasari, Gede Artha Azriadi Prana, Stefanus A. Haryono, Yuan Tian, Hafil Noer Zachiary, David Lo
2021 J jnl
FeatCompare: Feature comparison for competing mobile apps leveraging user reviews.
Empir. Softw. Eng.
Maram Assi, Safwat Hassan, Yuan Tian, Ying Zou
2021 A conf
Is reputation on Stack Overflow always a good indicator for users' expertise? No!
ICSME
Shaowei Wang, Daniel M. Germán, Tse-Hsun Chen, Yuan Tian, Ahmed E. Hassan
2021 J jnl
PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel.
IEEE Trans. Software Eng.
Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo
2021 — conf
Stock Price Prediction Leveraging Reddit: The Role of Trust Filter and Sliding Window.
IEEE BigData
Dennis Huynh, Garrett Audet, Nikolay Alabi, Yuan Tian
2020 A conf
A First Look at the Deprecation of RESTful APIs: An Empirical Study.
ICSME
Jerin Yasmin, Yuan Tian, Jinqiu Yang
2020 J jnl
A First Look at the Deprecation of RESTful APIs: An Empirical Study.
CoRR
Jerin Yasmin, Yuan Tian, Jinqiu Yang
2019 J jnl
PatchNet: A Tool for Deep Patch Classification.
CoRR
Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo
2019 J jnl
PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel.
CoRR
Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo
2019 — conf
PatchNet: a tool for deep patch classification.
ICSE (Companion Volume)
Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo
2018 J jnl
Recommending Who to Follow in the Software Engineering Twitter Space.
ACM Trans. Softw. Eng. Methodol.
Abhishek Sharma, Yuan Tian, Agus Sulistya, Dinusha Wijedasa, David Lo
2018 J jnl
Rule-based specification mining leveraging learning to rank.
Autom. Softw. Eng.
Zherui Cao, Yuan Tian, Tien-Duy B. Le, David Lo
2017 A* conf
APIBot: question answering bot for API documentation.
ASE
Yuan Tian, Ferdian Thung, Abhishek Sharma, David Lo
2017 A conf
An Exploratory Study of Functionality and Learning Resources of Web APIs on ProgrammableWeb.
EASE
Yuan Tian, Pavneet Singh Kochhar, David Lo
2017 A conf
Harnessing Twitter to support serendipitous learning of developers.
SANER
Abhishek Sharma, Yuan Tian, Agus Sulistya, David Lo, Aiko Fallas Yamashita
2017 J jnl
WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking.
CoRR
Ferdian Thung, Richard Jayadi Oentaryo, David Lo, Yuan Tian
2017 J jnl
WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking.
IEEE Trans. Emerg. Top. Comput. Intell.
Ferdian Thung, Richard Jayadi Oentaryo, David Lo, Yuan Tian
2016 A conf
Learning to rank for bug report assignee recommendation.
ICPC
Yuan Tian, Dinusha Wijedasa, David Lo, Claire Le Goues
2016 J jnl
On the unreliability of bug severity data.
Empir. Softw. Eng.
Yuan Tian, Nasir Ali, David Lo, Ahmed E. Hassan
2015 A conf
A comparative study on the effectiveness of part-of-speech tagging techniques on bug reports.
SANER
Yuan Tian, David Lo
2015 J jnl
Automated prediction of bug report priority using multi-factor analysis.
Empir. Softw. Eng.
Yuan Tian, David Lo, Xin Xia, Chengnian Sun
2015 Misc conf
Evaluating defect prediction approaches using a massive set of metrics: an empirical study.
SAC
Xiao Xuan, David Lo, Xin Xia, Yuan Tian
2015 A conf
NIRMAL: Automatic identification of software relevant tweets leveraging language model.
SANER
Abhishek Sharma, Yuan Tian, David Lo
2015 A conf
What are the characteristics of high-rated apps? A case study on free Android Applications.
ICSME
Yuan Tian, Meiyappan Nagappan, David Lo, Ahmed E. Hassan
2015 A conf
What's hot in software engineering Twitter space?
ICSME
Abhishek Sharma, Yuan Tian, David Lo
2014 — conf
An Exploratory Study on Software Microblogger Behaviors.
MUD@ICSME
Yuan Tian, David Lo
2014 — conf
Automated construction of a software-specific word similarity database.
CSMR-WCRE
Yuan Tian, David Lo, Julia Lawall
2014 — conf
BOAT: an experimental platform for researchers to comparatively and reproducibly evaluate bug localization techniques.
ICSE Companion
Xinyu Wang, David Lo, Xin Xia, Xingen Wang, Pavneet Singh Kochhar, Yuan Tian, Xiaohu Yang, Shanping Li, Jianling Sun, Bo Zhou
2014 — ch.
LeveragingWeb 2.0 for software evolution.
Evolving Software Systems
Yuan Tian, David Lo
2014 A* conf
Potential biases in bug localization: do they matter?
ASE
Pavneet Singh Kochhar, Yuan Tian, David Lo
2014 — conf
SEWordSim: software-specific word similarity database.
ICSE Companion
Yuan Tian, David Lo, Julia Lawall
2013 — conf
DRONE: Predicting Priority of Reported Bugs by Multi-factor Analysis.
ICSM
Yuan Tian, David Lo, Chengnian Sun
2013 — conf
Predicting Best Answerers for New Questions: An Approach Leveraging Topic Modeling and Collaborative Voting.
SocInfo Workshops
Yuan Tian, Pavneet Singh Kochhar, Ee-Peng Lim, Feida Zhu, David Lo
2013 — conf
Predicting Project Outcome Leveraging Socio-Technical Network Patterns.
CSMR
Didi Surian, Yuan Tian, David Lo, Hong Cheng, Ee-Peng Lim
2012 — conf
Automatic classification of software related microblogs.
ICSM
Philips Kokoh Prasetyo, David Lo, Palakorn Achananuparp, Yuan Tian, Ee-Peng Lim
2012 A* conf
Identifying Linux bug fixing patches.
ICSE
Yuan Tian, Julia Lawall, David Lo
2012 — conf
Improved Duplicate Bug Report Identification.
CSMR
Yuan Tian, Chengnian Sun, David Lo
2012 — conf
Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction.
WCRE
Yuan Tian, David Lo, Chengnian Sun
2012 A* conf
Observatory of trends in software related microblogs.
ASE
Palakorn Achananuparp, Ibrahim Nelman Lubis, Yuan Tian, David Lo, Ee-Peng Lim
2012 A conf
What does software engineering community microblog about?
MSR
Yuan Tian, Palakorn Achananuparp, Ibrahim Nelman Lubis, David Lo, Ee-Peng Lim