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ORCIDYuan Tian 0008
Person information
- affiliation: Queen's University, Kingston, Canada
- affiliation: Singapore Management University
Other persons with the same name
- Yuan Tian — disambiguation page
- Yuan Tian 0001
![[0000-0002-6435-564X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6435-564X")
— University of California, Los Angeles, CA, USA (and 2 more) - Yuan Tian 0002 — University of Texas at Dallas, TX, USA
- Yuan Tian 0003 — King Saud University, Riyadh, Saudi Arabia (and 1 more)
- Yuan Tian 0004 — Auburn University, Auburn, AL, USA
- Yuan Tian 0005 — Dalian Maritime University, School of Science, Dalian, China (and 2 more)
- Yuan Tian 0006 — Peking University, Beijing, China
- Yuan Tian 0009 — Harbin Engineering University, College of Information and Communication Engineering, China
- Yuan Tian 0010 — Shanghai Jiao Tong University, Department of Electrical Engineering, China (and 1 more)
- Yuan Tian 0011 — Shanghai Jiao Tong University, State Key Laboratory of Mechanical System and Vibration, China
- Yuan Tian 0012 — University of Paris-Saclay, France
- Yuan Tian 0013 — Zhengzhou University, Zhengzhou, China
- Yuan Tian 0014 — ETH Zürich, Switzerland
- Yuan Tian 0015 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan National Laboratory for Optoelectronics, Wuhan, China (and 1 more)
- Yuan Tian 0016 — Jilin University, School of Artificial Intelligence, International Center of Future Science, Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China
- Yuan Tian 0017 — Shanghai Jiao Tong University, Key Laboratory of Artificial Intelligence, AI Institute, Shanghai, China
- Yuan Tian 0018 — Beijing University of Posts and Telecommunications, School of Artificial Intelligence, Beijing, China (and 2 more)
- Yuan Tian 0019 — Pennsylvania State University, Department of Computer Science and Engineering, University Park, PA, USA
- Yuan Tian 0020 — Bosch Research and Technology Center North America, USA (and 1 more)
- Yuan Tian 0021 — Shandong University, School of Qilu Transportation, Jinan, China (and 1 more)
- Yuan Tian 0022 — University of Nottingham, UK
- Yuan Tian 0023 — University of Saskatchewan, Department of Computer Science, Saskatoon, Canada (and 1 more)
- Yuan Tian 0024 — Victoria University of Wellington, New Zealand (and 1 more)
- Yuan Tian 0025 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Ecosystem Network Observation and Modeling, Beijing, China
- Yuan Tian 0026 — State Grid Hebei Electric Power Co., Ltd., Electric Power Research Institute, Shijiazhuang, China
- Yuan Tian 0027 — Xinyang University, School of Education, Xinyang, China
- Yuan Tian 0028 — University of South China, School of Electrical Engineering, Hengyang, China (and 1 more)
- Yuan Tian 0029 — Beihang University, Beijing, China
- Yuan Tian 0030 — Harbin Institute of Technology, School of Management, Harbin, China
- Yuan Tian 0031 — University of Science and Technology Beijing, School of Civil and Resource Engineering, Beijing, China (and 1 more)
- Yuan Tian 0032 — Technische Universität Berlin, Department of Mixed Signal Circuit Design Chair, Berlin, Germany
- Yuan Tian 0033 — KU Leuven, Department of Materials Engineering, Leuven, Belgium
- Yuan Tian 0034 — Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan, China
- Yuan Tian 0035 — Chongqing University of Science and Technology, College of Intelligent Technology and Engineering, Chongqing, China (and 2 more)
- Yuan Tian 0036 — Dalian University of Technology, School of Software, Dalian, China
- Yuan Tian 0037 — Jingchu University of Technology, School of Electronics Information, Jingmen, China
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2020 – today
- 2024
[j18]Rongcun Wang, Senlei Xu, Xingyu Ji, Yuan Tian, Lina Gong, Ke Wang:
An extensive study of the effects of different deep learning models on code vulnerability detection in Python code. Autom. Softw. Eng. 31(1): 15 (2024)- [j17]Rongcun Wang, Senlei Xu, Yuan Tian, Xingyu Ji, Xiaobing Sun, Shujuan Jiang:
SCL-CVD: Supervised contrastive learning for code vulnerability detection via GraphCodeBERT. Comput. Secur. 145: 103994 (2024) - [j16]Huizi Hao, Kazi Amit Hasan, Hong Qin, Marcos Macedo, Yuan Tian, Steven H. H. Ding, Ahmed E. Hassan:
An empirical study on developers' shared conversations with ChatGPT in GitHub pull requests and issues. Empir. Softw. Eng. 29(6): 150 (2024) - [j15]Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang, Bowen Xu:
An empirical study on the effectiveness of large language models for SATD identification and classification. Empir. Softw. Eng. 29(6): 159 (2024) - [j14]Shahla Shaan Ahmed, Shaowei Wang, Yuan Tian, Tse-Hsun (Peter) Chen, Haoxiang Zhang:
Studying and recommending information highlighting in Stack Overflow answers. Inf. Softw. Technol. 172: 107478 (2024) - [j13]Rongcun Wang, Xingyu Ji, Senlei Xu, Yuan Tian, Shujuan Jiang, Rubing Huang:
An empirical assessment of different word embedding and deep learning models for bug assignment. J. Syst. Softw. 210: 111961 (2024) - [c39]Marcos Macedo, Yuan Tian, Filipe Roseiro Côgo, Bram Adams:
Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation. FORGE 2024: 57-68 - [c38]Junjie Li, Aseem Sangalay, Cheng Cheng, Yuan Tian, Jinqiu Yang:
Fine Tuning Large Language Model for Secure Code Generation. FORGE 2024: 86-90 - [c37]Kazi Amit Hasan, Vu Thanh Loc Mai, Cynthia Wang, Yuan Tian, Steven H. H. Ding:
A First Look at Self-Admitted Miscommunications in GitHub Issues. ASE Workshops 2024: 118-127 - [c36]Huizi Hao, Yuan Tian:
Engaging with AI: An Exploratory Study on Developers' Sharing and Reactions to ChatGPT in GitHub Pull Requests. ASE Workshops 2024: 156-160 - [c35]Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis:
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. MSR 2024: 431-443 - [i19]Shahla Shaan Ahmed, Shaowei Wang, Yuan Tian, Tse-Hsun Chen, Haoxiang Zhang:
A First Look at Information Highlighting in Stack Overflow Answers. CoRR abs/2401.01472 (2024) - [i18]Azmain Kabir, Shaowei Wang, Yuan Tian, Tse-Hsun Chen, Muhammad Asaduzzaman, Wenbin Zhang:
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT. CoRR abs/2401.14279 (2024) - [i17]Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis:
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. CoRR abs/2402.00699 (2024) - [i16]Huizi Hao, Kazi Amit Hasan, Hong Qin, Marcos Macedo, Yuan Tian, Steven H. H. Ding, Ahmed E. Hassan:
An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues. CoRR abs/2403.10468 (2024) - [i15]Marcos Macedo, Yuan Tian, Filipe Roseiro Côgo, Bram Adams:
Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation. CoRR abs/2403.17214 (2024) - [i14]Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang, Bowen Xu:
An Empirical Study on the Effectiveness of Large Language Models for SATD Identification and Classification. CoRR abs/2405.06806 (2024) - [i13]Jerin Yasmin, Jiale Wang, Yuan Tian, Bram Adams:
An Empirical Study of Developers' Challenges in Implementing Workflows as Code: A Case Study on Apache Airflow. CoRR abs/2406.00180 (2024) - [i12]Junjie Li, Fazle Rabbi, Cheng Cheng, Aseem Sangalay, Yuan Tian, Jinqiu Yang:
An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation. CoRR abs/2408.09078 (2024) - [i11]Leo Song, Steven H. H. Ding, Yuan Tian, Li Tao Li, Philippe Charland, Andrew Walenstein:
Chain-of-Experts (CoE): Reverse Engineering Software Bills of Materials for JavaScript Application Bundles through Code Clone Search. CoRR abs/2408.16198 (2024) - [i10]Yixi Wu, Pengfei He, Zehao Wang, Shaowei Wang, Yuan Tian, Tse-Hsun Chen:
A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models. CoRR abs/2409.15228 (2024) - 2023
- [j12]Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang:
A study of update request comments in Stack Overflow answer posts. J. Syst. Softw. 198: 111590 (2023) - [j11]Litao Li, Steven H. H. Ding, Yuan Tian, Benjamin C. M. Fung, Philippe Charland, Weihan Ou, Leo Song, Congwei Chen:
VulANalyzeR: Explainable Binary Vulnerability Detection with Multi-task Learning and Attentional Graph Convolution. ACM Trans. Priv. Secur. 26(3): 28:1-28:25 (2023) - [j10]Mohamed Amine Batoun, Ka Lai Yung, Yuan Tian, Mohammed Sayagh:
An Empirical Study on GitHub Pull Requests' Reactions. ACM Trans. Softw. Eng. Methodol. 32(6): 146:1-146:35 (2023) - [j9]Weihan Ou, Steven H. H. Ding, Yuan Tian, Leo Song:
SCS-Gan: Learning Functionality-Agnostic Stylometric Representations for Source Code Authorship Verification. IEEE Trans. Software Eng. 49(4): 1426-1442 (2023) - [c34]Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, Steven H. H. Ding:
Understanding the Time to First Response in GitHub Pull Requests. MSR 2023: 1-11 - [c33]Nafiz Sadman, Kazi Amit Hasan, Elyas Rashno, Furkan Alaca, Yuan Tian, Farhana H. Zulkernine:
Vulnerability of Open-Source Face Recognition Systems to Blackbox Attacks: A Case Study with InsightFace. SSCI 2023: 1164-1169 - [c32]Mohammad Sadegh Sheikhaei, Yuan Tian:
Automated Self-Admitted Technical Debt Tracking at Commit-Level: A Language-independent Approach. TechDebt@ICSE 2023: 22-26 - [i9]Mohammad Sadegh Sheikhaei, Yuan Tian:
Automated Self-Admitted Technical Debt Tracking at Commit-Level: A Language-independent Approach. CoRR abs/2304.07829 (2023) - [i8]Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang:
A Study of Update Request Comments in Stack Overflow Answer Posts. CoRR abs/2304.07848 (2023) - [i7]Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, Steven H. H. Ding:
Understanding the Time to First Response In GitHub Pull Requests. CoRR abs/2304.08426 (2023) - [i6]Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajeev Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis:
PeaTMOSS: Mining Pre-Trained Models in Open-Source Software. CoRR abs/2310.03620 (2023) - 2022
- [j8]Mohammad Sadegh Sheikhaei, Hasan Zafari, Yuan Tian:
Joined Type Length Encoding for Nested Named Entity Recognition. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(3): 45:1-45:23 (2022) - [c31]Shahla Shaan Ahmed, Shaowei Wang, Haoxiang Zhang, Tse-Hsun Chen, Yuan Tian:
A First Look at Information Highlighting in Stack Overflow Answers. ICSME 2022: 369-373 - [c30]Ratnadira Widyasari, Gede Artha Azriadi Prana, Stefanus A. Haryono, Yuan Tian, Hafil Noer Zachiary, David Lo:
XAI4FL: enhancing spectrum-based fault localization with explainable artificial intelligence. ICPC 2022: 499-510 - [c29]Jerin Yasmin, Mohammad Sadegh Sheikhaei, Yuan Tian:
A first look at duplicate and near-duplicate self-admitted technical debt comments. ICPC 2022: 614-618 - [c28]Aidan Polese, Safwat Hassan, Yuan Tian:
Adoption of Third-party Libraries in Mobile Apps: A Case Study on Open-source Android Applications. MOBILESoft 2022: 125-135 - [i5]Jerin Yasmin, Mohammad Sadegh Sheikhaei, Yuan Tian:
A First Look at Duplicate and Near-duplicate Self-admitted Technical Debt Comments. CoRR abs/2203.15979 (2022) - 2021
- [j7]Maram Assi, Safwat Hassan, Yuan Tian, Ying Zou:
FeatCompare: Feature comparison for competing mobile apps leveraging user reviews. Empir. Softw. Eng. 26(5): 94 (2021) - [j6]Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo:
PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel. IEEE Trans. Software Eng. 47(11): 2471-2486 (2021) - [c27]Dennis Huynh, Garrett Audet, Nikolay Alabi, Yuan Tian:
Stock Price Prediction Leveraging Reddit: The Role of Trust Filter and Sliding Window. IEEE BigData 2021: 1054-1060 - [c26]Shaowei Wang, Daniel M. Germán, Tse-Hsun Chen, Yuan Tian, Ahmed E. Hassan:
Is reputation on Stack Overflow always a good indicator for users' expertise? No! ICSME 2021: 614-618 - 2020
- [c25]Jerin Yasmin, Yuan Tian, Jinqiu Yang:
A First Look at the Deprecation of RESTful APIs: An Empirical Study. ICSME 2020: 151-161 - [i4]Jerin Yasmin, Yuan Tian, Jinqiu Yang:
A First Look at the Deprecation of RESTful APIs: An Empirical Study. CoRR abs/2008.12808 (2020)
2010 – 2019
- 2019
- [c24]Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo:
PatchNet: a tool for deep patch classification. ICSE (Companion Volume) 2019: 83-86 - [i3]Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo:
PatchNet: A Tool for Deep Patch Classification. CoRR abs/1903.02063 (2019) - [i2]Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo:
PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel. CoRR abs/1911.03576 (2019) - 2018
- [j5]Zherui Cao, Yuan Tian, Tien-Duy B. Le, David Lo:
Rule-based specification mining leveraging learning to rank. Autom. Softw. Eng. 25(3): 501-530 (2018) - [j4]Abhishek Sharma, Yuan Tian, Agus Sulistya, Dinusha Wijedasa, David Lo:
Recommending Who to Follow in the Software Engineering Twitter Space. ACM Trans. Softw. Eng. Methodol. 27(4): 16:1-16:33 (2018) - 2017
- [j3]Ferdian Thung, Richard Jayadi Oentaryo, David Lo, Yuan Tian:
WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking. IEEE Trans. Emerg. Top. Comput. Intell. 1(3): 145-156 (2017) - [c23]Yuan Tian, Pavneet Singh Kochhar, David Lo:
An Exploratory Study of Functionality and Learning Resources of Web APIs on ProgrammableWeb. EASE 2017: 202-207 - [c22]Yuan Tian, Ferdian Thung, Abhishek Sharma, David Lo:
APIBot: question answering bot for API documentation. ASE 2017: 153-158 - [c21]Abhishek Sharma, Yuan Tian, Agus Sulistya, David Lo, Aiko Fallas Yamashita:
Harnessing Twitter to support serendipitous learning of developers. SANER 2017: 387-391 - [i1]Ferdian Thung, Richard Jayadi Oentaryo, David Lo, Yuan Tian:
WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking. CoRR abs/1705.00561 (2017) - 2016
- [j2]Yuan Tian, Nasir Ali, David Lo, Ahmed E. Hassan:
On the unreliability of bug severity data. Empir. Softw. Eng. 21(6): 2298-2323 (2016) - [c20]Yuan Tian, Dinusha Wijedasa, David Lo, Claire Le Goues:
Learning to rank for bug report assignee recommendation. ICPC 2016: 1-10 - 2015
- [j1]Yuan Tian, David Lo, Xin Xia, Chengnian Sun:
Automated prediction of bug report priority using multi-factor analysis. Empir. Softw. Eng. 20(5): 1354-1383 (2015) - [c19]Yuan Tian, Meiyappan Nagappan, David Lo, Ahmed E. Hassan:
What are the characteristics of high-rated apps? A case study on free Android Applications. ICSME 2015: 301-310 - [c18]Abhishek Sharma, Yuan Tian, David Lo:
What's hot in software engineering Twitter space? ICSME 2015: 541-545 - [c17]Xiao Xuan, David Lo, Xin Xia, Yuan Tian:
Evaluating defect prediction approaches using a massive set of metrics: an empirical study. SAC 2015: 1644-1647 - [c16]Abhishek Sharma, Yuan Tian, David Lo:
NIRMAL: Automatic identification of software relevant tweets leveraging language model. SANER 2015: 449-458 - [c15]Yuan Tian, David Lo:
A comparative study on the effectiveness of part-of-speech tagging techniques on bug reports. SANER 2015: 570-574 - 2014
- [c14]Yuan Tian, David Lo, Julia Lawall:
Automated construction of a software-specific word similarity database. CSMR-WCRE 2014: 44-53 - [c13]Yuan Tian, David Lo, Julia Lawall:
SEWordSim: software-specific word similarity database. ICSE Companion 2014: 568-571 - [c12]Xinyu Wang, David Lo, Xin Xia, Xingen Wang, Pavneet Singh Kochhar, Yuan Tian, Xiaohu Yang, Shanping Li, Jianling Sun, Bo Zhou:
BOAT: an experimental platform for researchers to comparatively and reproducibly evaluate bug localization techniques. ICSE Companion 2014: 572-575 - [c11]Yuan Tian, David Lo:
An Exploratory Study on Software Microblogger Behaviors. MUD@ICSME 2014: 1-5 - [c10]Pavneet Singh Kochhar, Yuan Tian, David Lo:
Potential biases in bug localization: do they matter? ASE 2014: 803-814 - [p1]Yuan Tian, David Lo:
LeveragingWeb 2.0 for software evolution. Evolving Software Systems 2014: 163-197 - 2013
- [c9]Didi Surian, Yuan Tian, David Lo, Hong Cheng, Ee-Peng Lim:
Predicting Project Outcome Leveraging Socio-Technical Network Patterns. CSMR 2013: 47-56 - [c8]Yuan Tian, David Lo, Chengnian Sun:
DRONE: Predicting Priority of Reported Bugs by Multi-factor Analysis. ICSM 2013: 200-209 - [c7]Yuan Tian, Pavneet Singh Kochhar, Ee-Peng Lim, Feida Zhu, David Lo:
Predicting Best Answerers for New Questions: An Approach Leveraging Topic Modeling and Collaborative Voting. SocInfo Workshops 2013: 55-68 - 2012
- [c6]Yuan Tian, Chengnian Sun, David Lo:
Improved Duplicate Bug Report Identification. CSMR 2012: 385-390 - [c5]Yuan Tian, Julia Lawall, David Lo:
Identifying Linux bug fixing patches. ICSE 2012: 386-396 - [c4]Philips Kokoh Prasetyo, David Lo, Palakorn Achananuparp, Yuan Tian, Ee-Peng Lim:
Automatic classification of software related microblogs. ICSM 2012: 596-599 - [c3]Palakorn Achananuparp, Ibrahim Nelman Lubis, Yuan Tian, David Lo, Ee-Peng Lim:
Observatory of trends in software related microblogs. ASE 2012: 334-337 - [c2]Yuan Tian, Palakorn Achananuparp, Ibrahim Nelman Lubis, David Lo, Ee-Peng Lim:
What does software engineering community microblog about? MSR 2012: 247-250 - [c1]Yuan Tian, David Lo, Chengnian Sun:
Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction. WCRE 2012: 215-224
Coauthor Index
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