Improved Duplicate Bug Report Identification. - Yuan Tian 008; Chengnian Sun; David Lo 001 (CSMR, 2012)

Identifying Linux bug fixing patches. - Yuan Tian 008; Julia Lawall; David Lo 001 (ICSE, 2012)

Automatic classification of software related microblogs. - Philips Kokoh Prasetyo; David Lo 001; Palakorn Achananuparp; Yuan Tian 008; Ee-Peng Lim (ICSM, 2012)

Observatory of trends in software related microblogs. - Palakorn Achananuparp; Ibrahim Nelman Lubis; Yuan Tian 008; David Lo 001; Ee-Peng Lim (ASE, 2012)

What does software engineering community microblog about? - Yuan Tian 008; Palakorn Achananuparp; Ibrahim Nelman Lubis; David Lo 001; Ee-Peng Lim (MSR, 2012)

Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction. - Yuan Tian 008; David Lo 001; Chengnian Sun (WCRE, 2012)

Predicting Project Outcome Leveraging Socio-Technical Network Patterns. - Didi Surian; Yuan Tian 008; David Lo 001; Hong Cheng 001; Ee-Peng Lim (CSMR, 2013)

DRONE: Predicting Priority of Reported Bugs by Multi-factor Analysis. - Yuan Tian 008; David Lo 001; Chengnian Sun (ICSM, 2013)

Predicting Best Answerers for New Questions: An Approach Leveraging Topic Modeling and Collaborative Voting. - Yuan Tian 008; Pavneet Singh Kochhar; Ee-Peng Lim; Feida Zhu 001; David Lo 001 (SocInfo Workshops, 2013)

LeveragingWeb 2.0 for software evolution. - Yuan Tian 008; David Lo 001 (Evolving Software Systems, 2014)

Automated construction of a software-specific word similarity database. - Yuan Tian 008; David Lo 001; Julia Lawall (CSMR-WCRE, 2014)

SEWordSim: software-specific word similarity database. - Yuan Tian 008; David Lo 001; Julia Lawall (ICSE Companion, 2014)

BOAT: an experimental platform for researchers to comparatively and reproducibly evaluate bug localization techniques. - Xinyu Wang 001; David Lo 001; Xin Xia 001; Xingen Wang; Pavneet Singh Kochhar; Yuan Tian 008; Xiaohu Yang 001; Shanping Li; Jianling Sun; Bo Zhou 010 (ICSE Companion, 2014)

An Exploratory Study on Software Microblogger Behaviors. - Yuan Tian 008; David Lo 001 (MUD@ICSME, 2014)

Potential biases in bug localization: do they matter? - Pavneet Singh Kochhar; Yuan Tian 008; David Lo 001 (ASE, 2014)

What's hot in software engineering Twitter space? - Abhishek Sharma 002; Yuan Tian 008; David Lo 001 (ICSME, 2015)

What are the characteristics of high-rated apps? A case study on free Android Applications. - Yuan Tian 008; Meiyappan Nagappan; David Lo 001; Ahmed E. Hassan (ICSME, 2015)

Evaluating defect prediction approaches using a massive set of metrics: an empirical study. - Xiao Xuan; David Lo 001; Xin Xia 001; Yuan Tian 008 (SAC, 2015)

NIRMAL: Automatic identification of software relevant tweets leveraging language model. - Abhishek Sharma 002; Yuan Tian 008; David Lo 001 (SANER, 2015)

A comparative study on the effectiveness of part-of-speech tagging techniques on bug reports. - Yuan Tian 008; David Lo 001 (SANER, 2015)

Automated prediction of bug report priority using multi-factor analysis. - Yuan Tian 008; David Lo 001; Xin Xia 001; Chengnian Sun (Empir. Softw. Eng., 2015)

Learning to rank for bug report assignee recommendation. - Yuan Tian 008; Dinusha Wijedasa; David Lo 001; Claire Le Goues (ICPC, 2016)

On the unreliability of bug severity data. - Yuan Tian 008; Nasir Ali; David Lo 001; Ahmed E. Hassan (Empir. Softw. Eng., 2016)

An Exploratory Study of Functionality and Learning Resources of Web APIs on ProgrammableWeb. - Yuan Tian 008; Pavneet Singh Kochhar; David Lo 001 (EASE, 2017)

APIBot: question answering bot for API documentation. - Yuan Tian 008; Ferdian Thung; Abhishek Sharma 002; David Lo 001 (ASE, 2017)

Harnessing Twitter to support serendipitous learning of developers. - Abhishek Sharma 002; Yuan Tian 008; Agus Sulistya; David Lo 001; Aiko Fallas Yamashita (SANER, 2017)

WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking. - Ferdian Thung; Richard Jayadi Oentaryo; David Lo 001; Yuan Tian 008 (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Rule-based specification mining leveraging learning to rank. - Zherui Cao; Yuan Tian 008; Tien-Duy B. Le; David Lo 001 (Autom. Softw. Eng., 2018)

Recommending Who to Follow in the Software Engineering Twitter Space. - Abhishek Sharma 002; Yuan Tian 008; Agus Sulistya; Dinusha Wijedasa; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2018)

PatchNet: a tool for deep patch classification. - Thong Hoang; Julia Lawall; Richard Jayadi Oentaryo; Yuan Tian 008; David Lo 001 (ICSE (Companion Volume), 2019)

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

Stock Price Prediction Leveraging Reddit: The Role of Trust Filter and Sliding Window. - Dennis Huynh; Garrett Audet; Nikolay Alabi; Yuan Tian 008 (IEEE BigData, 2021)

Is reputation on Stack Overflow always a good indicator for users' expertise? No! - Shaowei Wang 002; Daniel M. Germán; Tse-Hsun Chen; Yuan Tian 008; Ahmed E. Hassan (ICSME, 2021)

FeatCompare: Feature comparison for competing mobile apps leveraging user reviews. - Maram Assi; Safwat Hassan; Yuan Tian 008; Ying Zou 001 (Empir. Softw. Eng., 2021)

PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel. - Thong Hoang; Julia Lawall; Yuan Tian 008; Richard Jayadi Oentaryo; David Lo 001 (IEEE Trans. Software Eng., 2021)

A First Look at Information Highlighting in Stack Overflow Answers. - Shahla Shaan Ahmed; Shaowei Wang 002; Haoxiang Zhang 001; Tse-Hsun Chen; Yuan Tian 008 (ICSME, 2022)

XAI4FL: enhancing spectrum-based fault localization with explainable artificial intelligence. - Ratnadira Widyasari; Gede Artha Azriadi Prana; Stefanus A. Haryono; Yuan Tian 008; Hafil Noer Zachiary; David Lo 001 (ICPC, 2022)

A first look at duplicate and near-duplicate self-admitted technical debt comments. - Jerin Yasmin; Mohammad Sadegh Sheikhaei; Yuan Tian 008 (ICPC, 2022)

Adoption of Third-party Libraries in Mobile Apps: A Case Study on Open-source Android Applications. - Aidan Polese; Safwat Hassan; Yuan Tian 008 (MOBILESoft, 2022)

Joined Type Length Encoding for Nested Named Entity Recognition. - Mohammad Sadegh Sheikhaei; Hasan Zafari; Yuan Tian 008 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

Analyzing Gamer Complaints in Reviews of Cross-Platform Video Games on Steam. - Hanwen Hu; Yuan Tian 008; Safwat Hassan; Dayi Lin (CoG, 2023)

Understanding the Time to First Response in GitHub Pull Requests. - Kazi Amit Hasan; Marcos Macedo; Yuan Tian 008; Bram Adams; Steven H. H. Ding (MSR, 2023)

Vulnerability of Open-Source Face Recognition Systems to Blackbox Attacks: A Case Study with InsightFace. - Nafiz Sadman; Kazi Amit Hasan; Elyas Rashno; Furkan Alaca; Yuan Tian 008; Farhana H. Zulkernine (SSCI, 2023)

Automated Self-Admitted Technical Debt Tracking at Commit-Level: A Language-independent Approach. - Mohammad Sadegh Sheikhaei; Yuan Tian 008 (TechDebt@ICSE, 2023)

PeaTMOSS: Mining Pre-Trained Models in Open-Source Software. - Wenxin Jiang 001; Jason Jones; Jerin Yasmin; Nicholas Synovic; Rajeev Sashti; Sophie Chen; George K. Thiruvathukal; Yuan Tian 008; James C. Davis 001 (CoRR, 2023)

A study of update request comments in Stack Overflow answer posts. - Mohammad Sadegh Sheikhaei; Yuan Tian 008; Shaowei Wang 002 (J. Syst. Softw., 2023)

SCS-Gan: Learning Functionality-Agnostic Stylometric Representations for Source Code Authorship Verification. - Weihan Ou; Steven H. H. Ding; Yuan Tian 008; Leo Song (IEEE Trans. Software Eng., 2023)

VulANalyzeR: Explainable Binary Vulnerability Detection with Multi-task Learning and Attentional Graph Convolution. - Litao Li; Steven H. H. Ding; Yuan Tian 008; Benjamin C. M. Fung; Philippe Charland; Weihan Ou; Leo Song; Congwei Chen (ACM Trans. Priv. Secur., 2023)

An Empirical Study on GitHub Pull Requests' Reactions. - Mohamed Amine Batoun; Ka Lai Yung; Yuan Tian 008; Mohammed Sayagh (ACM Trans. Softw. Eng. Methodol., 2023)

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

Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation. - Marcos Macedo; Yuan Tian 008; Filipe Roseiro Côgo; Bram Adams (FORGE, 2024)

Engaging with AI: An Exploratory Study on Developers' Sharing and Reactions to ChatGPT in GitHub Pull Requests. - Huizi Hao; Yuan Tian 008 (ASE Workshops, 2024)

A First Look at Self-Admitted Miscommunications in GitHub Issues. - Kazi Amit Hasan; Vu Thanh Loc Mai; Cynthia Wang; Yuan Tian 008; Steven H. H. Ding (ASE Workshops, 2024)

PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. - Wenxin Jiang 001; Jerin Yasmin; Jason Jones; Nicholas Synovic; Jiashen Kuo; Nathaniel Bielanski; Yuan Tian 008; George K. Thiruvathukal; James C. Davis 001 (MSR, 2024)

SCL-CVD: Supervised contrastive learning for code vulnerability detection via GraphCodeBERT. - Rongcun Wang; Senlei Xu; Yuan Tian 008; Xingyu Ji; Xiaobing Sun 001; Shujuan Jiang (Comput. Secur., 2024)

ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT. - Azmain Kabir; Shaowei Wang 002; Yuan Tian 008; Tse-Hsun Chen; Muhammad Asaduzzaman; Wenbin Zhang 002 (CoRR, 2024)

An Empirical Study of Developers' Challenges in Implementing Workflows as Code: A Case Study on Apache Airflow. - Jerin Yasmin; Jiale Wang; Yuan Tian 008; Bram Adams (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)

Chain-of-Experts (CoE): Reverse Engineering Software Bills of Materials for JavaScript Application Bundles through Code Clone Search. - Leo Song; Steven H. H. Ding; Yuan Tian 008; Li Tao Li; Philippe Charland; Andrew Walenstein (CoRR, 2024)

A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models. - Yixi Wu; Pengfei He; Zehao Wang; Shaowei Wang 002; Yuan Tian 008; Tse-Hsun Chen (CoRR, 2024)

Studying and recommending information highlighting in Stack Overflow answers. - Shahla Shaan Ahmed; Shaowei Wang 002; Yuan Tian 008; Tse-Hsun (Peter) Chen; Haoxiang Zhang 001 (Inf. Softw. Technol., 2024)

An empirical assessment of different word embedding and deep learning models for bug assignment. - Rongcun Wang; Xingyu Ji; Senlei Xu; Yuan Tian 008; Shujuan Jiang; Rubing Huang (J. Syst. Softw., 2024)

An extensive study of the effects of different deep learning models on code vulnerability detection in Python code. - Rongcun Wang; Senlei Xu; Xingyu Ji; Yuan Tian 008; Lina Gong; Ke Wang (Autom. Softw. Eng., 2024)

An empirical study on developers' shared conversations with ChatGPT in GitHub pull requests and issues. - Huizi Hao; Kazi Amit Hasan; Hong Qin 014; Marcos Macedo; Yuan Tian 008; Steven H. H. Ding; Ahmed E. Hassan (Empir. Softw. Eng., 2024)

An empirical study on the effectiveness of large language models for SATD identification and classification. - Mohammad Sadegh Sheikhaei; Yuan Tian 008; Shaowei Wang 002; Bowen Xu (Empir. Softw. Eng., 2024)

INTERTRANS: Leveraging Transitive Intermediate Translations to Enhance LLM-Based Code Translation. - Marcos Macedo; Yuan Tian 008; Pengyu Nie 001; Filipe Roseiro Côgo; Bram Adams (ICSE, 2025)

Understanding Abandonment and Slowdown Dynamics in the Maven Ecosystem. - Kazi Amit Hasan; Jerin Yasmin; Huizi Hao; Yuan Tian 008; Safwat Hassan; Steven H. H. Ding (MSR, 2025)

XL-HQL: A HQL query generation method via XLNet and column attention. - Rongcun Wang; Yiqian Hou; Yuan Tian 008; Zhanqi Cui; Shujuan Jiang (Inf. Softw. Technol., 2025)

An empirical study of developers' challenges in implementing Workflows as Code: A case study on Apache Airflow. - Jerin Yasmin; Jiale Amber Wang; Yuan Tian 008; Bram Adams (J. Syst. Softw., 2025)

Understanding the Effectiveness of LLMs in Automated Self-Admitted Technical Debt Repayment. - Mohammad Sadegh Sheikhaei; Yuan Tian 008; Shaowei Wang 002; Bowen Xu (CoRR, 2025)

ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets Using LLMs. - Azmain Kabir; Shaowei Wang 002; Yuan Tian 008; Tse-Hsun (Peter) Chen; Muhammad Asaduzzaman; Wenbin Zhang 002 (ACM Trans. Softw. Eng. Methodol., 2025)

Fixer-level supervised contrastive learning for bug assignment. - Rongcun Wang; Xingyu Ji; Yuan Tian 008; Senlei Xu; Xiaobing Sun 001; Shujuan Jiang (Empir. Softw. Eng., 2025)

Report on the 5th Workshop on Human Centric Software Engineering & Cyber Security (HCSE&CS 2024). - Mohan Baruwal Chhetri; Xiao Liu 004; Thuong Hoang 001; Karen Renaud; Chetan Arora 002; Yuan Tian 008; Yue Huang (ACM SIGSOFT Softw. Eng. Notes, 2025)

Obfuscated Clone Search in JavaScript based on Reinforcement Subsequence Learning. - Leo Song; Steven H. H. Ding; Yuan Tian 008; Li Tao Li; Weihan Ou; Philippe Charland; Andrew Walenstein (ACM Trans. Softw. Eng. Methodol., 2025)