Publications
2024
- Yingwei Ma, Yue Liu, Yue Yu (corresponding author), Yuanliang Zhang, Yu Jiang, Changjian Wang, Shanshan Li.
At Which Training Stage Does Code Data Help LLMs Reasoning?
12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria.
[pdf]
- Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu (corresponding author).
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada. (CCF-A)
[pdf]
- Zicong Hong, Jian Lin, Song Guo, Sifu Luo, Wuhui Chen, Roger Wattenhofer, Yue Yu.
Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation
19th European Conference on Computer Systems (EuroSys 2024), Athens, Greece. (CCF-A)
[pdf]
- Haoran Liu, Zhouyang Jia, Shanshan Li, Yan Lei, Yue Yu, Yu Jiang, Xiaoguang Mao, Liao Xiangke.
Cut to the Chase: An Error-Oriented Approach to Detect Error-Handling Bugs
The ACM International Conference on the Foundations of Software Engineering (FSE 2024), Porto de Galinhas, Brazil. (CCF-A)
[pdf]
- Tanghaoran Zhang, Yao Lu, Yue Yu, Xinjun Mao, Yang Zhang, and Yuxin Zhao.
How do Developers Adapt Code Snippets to Their Contexts? An Empirical Study of Context-Based Code Snippet Adaptations.
IEEE Transactions on Software Engineering (TSE), 2024. (SCI, CCF-A)
[pdf]
- Jiahang Zhou, Yanyu Chen, Zicong Hong, Wuhui Chen,Yue Yu, Tao Zhang, Hui Wang, Chuanfu Zhang, Zibin Zheng.
Training and Serving System of Foundation Models: A Comprehensive Survey
IEEE Open Journal of the Computer Society, 2024. (SCI)
[pdf]
- Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu.
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. (CCF-A)
[pdf]
- Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, Xiaoming Wu.
Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. (CCF-A)
[pdf]
- Bo Lv, Chen Tang, Yanan Zhang, Xin Liu, Ping Luo, Yue Yu.
URG: A Unified Ranking and Generation Method for Ensembling Language Models
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand. (CCF-A)
[pdf]
- Jinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu.
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand. (CCF-A)
[pdf]
2023
- Shujiong Tang, Yue Yu (corresponding author), Hui Wang, Guiliang Wang, Wuhui Chen, Zenglin Xu, Song Guo, Wen Gao.
A Survey on Scheduling Techniques in Computing and Network Convergence.
IEEE Communications Surveys and Tutorials (COMST), 2023. (SCI, JCR-Q1)
[pdf]
- Hanyang Peng, Shuang Qin, Yue Yu (corresponding author), Jin Wang, Hui Wang, Ge Li.
Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training.
The 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, USA. (CCF-A)
[pdf]
- Zicong Hong, Xiaoyu Qiu, Jian Lin, Wuhui Chen, Yue Yu (corresponding author), Hui Wang, Song Guo, Wen Gao.
Intelligence-Endogenous Management Platform for Computing and Network Convergence.
IEEE Network, 2023. (SCI, JCR-Q1)
[pdf]
- Ying Wang, Peng Sun, Lin Pei, Yue Yu (corresponding author), Chang Xu, Shing-Chi Cheung, Hai Yu, Zhiliang Zhu.
PLUMBER: Boosting the Propagation of Vulnerability Fixes in the npm Ecosystem.
IEEE Transactions on Software Engineering (TSE), 2023. (SCI, CCF-A)
[pdf][Plumber]
- Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo, Yue Yu.
Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension.
The 45th International Conference on Software Engineering (ICSE 2023), Melbourne, Australia. (CCF-A)
[pdf]
- Teng Wang, Zhouyang Jia, Shanshan Li, Si Zheng, Yue Yu, Erci Xu, Shaoliang Peng, Xiangke Liao.
Understanding and Detecting On-the-Fly Configuration Bugs.
The 45th International Conference on Software Engineering (ICSE 2023), Melbourne, Australia. (CCF-A, Distinguished Paper Award)
[pdf]
- Yingwei Ma, Yue Yu (corresponding author), Shanshan Li, Zhouyang Jia, Jun Ma, Rulin Xu, Wei Dong, Xiangke Liao.
MulCS: Towards a Unified Deep Representation for Multilingual Code Search.
The 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2023), Macao, China. (CCF-B, Distinguished Paper Award)
[pdf]
- Bo Lv, Xin Liu, Shaojie Dai, Nayu Liu, Fan Yang, Ping Luo and Yue Yu (corresponding author).
DSP: Discriminative Soft Prompts for Zero-Shot Entity and Relation Extraction.
The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada. (CCF-A)
[pdf]
- Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu and Zenglin Xu.
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.
The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada. (CCF-A)
[pdf]
- Yibo Wang, Ying Wang, Tingwei Zhang, Yue Yu, Shing-Chi Cheung, Hai Yu, Zhiliang Zhu.
Can Machine Learning Pipelines Be Better Configured?.
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023), San Francisco, USA. (CCF-A, Distinguished Paper Award)
[pdf]
- Haochen He, Erci Xu, Shanshan Li, Zhouyang Jia, Si Zheng, Yue Yu, Jun Ma, Xiangke Liao.
When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations.
The 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada. (CCF-A)
[pdf]
- Yupeng Yin, Xianglong Zhang, Huanle Zhang, Feng Li, Yue Yu, Xiuzhen Cheng, Pengfei Hu.
Ginver: Generative Model Inversion Attacks Against Collaborative Inference.
ACM Web Conference (WWW 2023), Austin, USA. (CCF-A)
[pdf]
- Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin,Yue Yu, Hui Wang, Zenglin Xu.
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing.
The 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, USA. (CCF-B)
[pdf]
- Xiaoqi Wang, Yingjie Cheng, Yaning Yang, Yue Yu, Fei Li, Shaoliang Peng.
Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery.
Nature Machine Intelligence, 2023.
[pdf][Supplementary Materials]
- Hanyang Peng, Yue Yu, Shiqi Yu.
Re-Thinking the Effectiveness of Batch Normalization and Beyond.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. (SCI, CCF-A)
[pdf]
- Xiaojie Li, Jianlong Wu, Shaowei He, Kang Shuo, Yue Yu, Liqiang Nie, Min Zhang.
Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning.
The 31st ACM International Conference on Multimedia (ACM MM 2023), Ottawa, Canada. (CCF-A)
[pdf]
- Xiaojie Li, Shaowei He, Jianlong Wu, Yue Yu, Liqiang Nie, Min Zhang.
Mask Again: Masked Knowledge Distillation for Masked Video Modeling.
The 31st ACM International Conference on Multimedia (ACM MM 2023), Ottawa, Canada. (CCF-A)
[pdf]
- Jiaying Li, Yan Lei, Shanshan Li, Haifang Zhou, Yue Yu, Zhouyang Jia, Yingwei Ma, Teng Wang.
A Two-Stage Framework for Ambiguous Classification in Software Engineering.
The 34th IEEE International Symposium on Software Reliability Engineering (ISSRE 2023), Florence, Italy. (CCF-B)
[pdf]
2022
- Zhixing Li, Yue Yu (corresponding author), Tao Wang, Lei Yan, Ying Wang, and Huaimin Wang.
To Follow or Not to Follow: Understanding Issue/Pull-Request Templates on GitHub.
IEEE Transactions on Software Engineering (TSE), 2022. (SCI, CCF-A)
[pdf]
- Tanghaoran Zhang, Yue Yu (corresponding author), Xinjun Mao, Yao Lu, Zhixing Li, Huaimin Wang.
FENSE: A Feature-Based Ensemble Modeling Approach to Cross-Project Just-in-Time Defect Prediction.
Empirical Software Engineering (EMSE), 2022. (CCF-B, JCR-1)
[pdf]
- Chen Zeng, Yue Yu (corresponding author), Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Linxiao Bai, Wei Dong, and Xiangke Liao. deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search. ACM Transactions on Software Engineering and Methodology (TOSEM), 2022. (SCI, CCF-A)
[pdf]
- Xunhui Zhang, Yue Yu (corresponding author), Georgios Gousios, Ayushi Rastogi. Pull Request Decisions Explained: An Empirical Overview. IEEE Transactions on Software Engineering (TSE), 2022. (SCI, CCF-A)
[pdf]
- Xunhui Zhang, Yue Yu (corresponding author), Tao Wang, Ayushi Rastogi, Huaimin Wang. Pull Request Latency Explained: An Empirical Overview. Empirical Software Engineering (EMSE), 2022. (CCF-B, JCR-1)
[pdf][ESEC/FSE 2022 Journal First]
- Zhixing Li, Yue Yu (corresponding author), Tao Wang, Shanshan Li, Huaiming Wang. Opportunities and Challenges in Repeated Revisions to Pull-Requests: An Empirical Study. The 25th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW 2022), Taipei, China. (CCF-A)
[pdf]
- Xunhui Zhang, Tao Wang, Yue Yu (corresponding author), Qiubing Zeng, Zhixing Li, Huaiming Wang. Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github's Sponsor Mechanism. The ACM CHI Conference on Human Factors in Computing Systems (CHI 2022), New Orleans, USA. (CCF-A)
[pdf]
- Haochen He, Zhouyang Jia, Shanshan Li, Yue Yu (corresponding author), Chenglong Zhou, Qing Liao, Ji Wang, Xiangke Liao. Multi-Intention-Aware Configuration Selection for Performance Tuning. The 44th International Conference on Software Engineering (ICSE 2022), Pittsburgh, USA. (CCF-A)
[pdf]
- Deze Wang, Zhouyang Jia, Shanshan Li, Yue Yu, Yun Xiong, Wei Dong, Xiangke Liao. Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding. The 44th International Conference on Software Engineering (ICSE 2022), Pittsburgh, USA. (CCF-A)
[pdf]
- Haibin Zheng, Zhiqing Chen, Tianyu Du, Xuhong Zhang, Yao Cheng, Shouling Ji, Jingyi Wang, Yue Yu, Jinyin Chen. NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification. The 44th International Conference on Software Engineering (ICSE 2022), Pittsburgh, USA. (CCF-A)
[pdf]
- Huan Xie, Yan Lei, Meng Yan, Yue Yu, Xin Xia, Xiaoguang Mao. A Universal Data Augmentation Approach for Fault Localization. The 44th International Conference on Software Engineering (ICSE 2022), Pittsburgh, USA. (CCF-A)
[pdf]
- Zhuo Zhang, Yan Lei, Meng Yan, Yue Yu, Jiachi Chen, Shangwen Wang, Xiaoguang Mao. Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach. The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022), Michigan, USA. (CCF-A)
[pdf]
- Shuyao Jiang, Jiacheng Shen, Shengnan Wu, Yu Cai, Yue Yu, Yangfan Zhou. Towards Usable Neural Comment Generation via Code-comment Linkage Interpretation: Method and Empirical Study. IEEE Transactions on Software Engineering (TSE), 2022. (SCI, CCF-A)
[pdf]
- Zhuo Zhang, Yan Lei, Ting Su, Meng Yan, Xiaoguang Mao, Yue Yu. Influential Global and Local Contexts Guided Trace Representation for Fault Localization. ACM Transactions on Software Engineering and Methodology (TOSEM), 2022. (SCI, CCF-A)
[pdf]
2021
- Zhixing Li, Yue Yu (corresponding author), Tao Wang, Gang Yin, Shanshan Li, and Huaimin Wang.
Are You Still Working on This? An Empirical Study on Pull Request Abandonment.
IEEE Transactions on Software Engineering (TSE), 2021. (SCI, CCF-A)
[pdf][data][ICSE 2022 Journal First]
- Deze Wang, Yue Yu (corresponding author), Shanshan Li, Wei Dong, Ji Wang, Qing liao.
MulCode: A Multi-task Learning Approach for Source Code Understanding.
The 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021). (CCF-B)
[pdf]
- Haoran Liu, Yue Yu (corresponding author), Shanshan Li, Mingyang Gen, Xiaoguang Mao, Xiangke Liao.
How to Cherry Pick the Bug Report for Better Summarization?.
Empirical Software Engineering (EMSE), 2021. (CCF-B, JCR-1)
[pdf]
- Yuqing Ma, Shihao Bai, Wei Liu, Shuo Wang, Yue Yu, Xiao Bai, Xianglong Liu, Meng Wang.
Transductive Relation-Propagation with Decoupling Training for Few-Shot Learning.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. (CCF-B)
[pdf]
- Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang.
Detecting Adversarial Samples with Graph-Guided Testing.
The 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021. (CCF-A, Late Breaking Results Track)
[pdf]
- Yu Zhang, Yue Yu (corresponding author), Tao Wang, Zhixing Li and Xiaochuan Wang.
Dual Channel Among Task and Contribution on OSS Communities: An Empirical Study.
International Journal of Software Engineering and Knowledge Engineering (IJSEKE), 2021. (SCI, CCF-C)
[pdf]
-
PanGu-a: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation.
arXiv preprint arXiv:2104.12369 (2021).
[pdf]
2020
- Zhixing Li, Yue Yu (corresponding author), Minghui Zhou, Tao Wang, Gang Yin, Long Lan, and Huaimin Wang.
Redundancy, Context, and Preference: An Empirical Study of Duplicate Pull Requests in OSS Projects.
IEEE Transactions on Software Engineering (TSE), 2020. (SCI, CCF-A)
[pdf][data]
- Haoran Liu, Yue Yu (corresponding author), Shanshan Li, Yong Guo, Deze Wang, Xiaoguang Mao.
BugSum: Deep Context Understanding for Bug Report Summarization.
The 28th IEEE/ACM International Conference on Program Comprehension (ICPC 2020), Seoul, South Korea. (CCF-B)
[pdf]
- Xunhui Zhang, Ayushi Rastogi, Yue Yu (corresponding author).
On the Shoulders of Giants: A New Dataset for Pull-based Development Research.
The 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, South Korea. (CCF-C, CORE-A)
[pdf][data]
- Jinyin Chen, Keke Hu, Yue Yu, Zhuangzhi Chen, Qi Xuan, Yi Liu, Vladimir Filkov.
Software Visualization and Deep Transfer Learning for Effective Software Defect Prediction.
The 42th International Conference on Software Engineering (ICSE 2020), Seoul, South Korea. (CCF-A)
[pdf]
- Haochen He, Zhouyang Jia, Shanshan Li, Erci Xu, Tingting Yu, Yue Yu, Ji Wang, Xiangke Liao.
CP-Detector: Using Configuration-related Performance Properties to Expose Performance Bugs.
The 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020), Melbourne, Australia. (CCF-A)
[pdf]
- Weijiang Feng, Long Lan, Yong Luo, Yue Yu, Xiang Zhang, Zhigang Luo.
Near-Online Multi-pedestrian Tracking via Combining Multiple Consistent Appearance Cues.
IEEE Transactions on Circuits and Systems for Video Technology （TCSVT） (SCI, CCF-B)
[pdf]
- Tao Wang, Gang Yin, Yue Yu, Yang Zhang, Huaimin Wang.
Crowd-intelligence-based software development method and practices.
Science China Information Sciences, Springer, 2020. (SCI, CCF-B, in Chinese)
[pdf]
2019
- Zhixing Li, Yue Yu (corresponding author), Tao Wang, Gang Yin, Xinjun Mao, Huaimin Wang.
Detecting Duplicate Contributions in Pull-based Model Combining Textual and Change Similarities.
Journal of Computer Science and Technology (JCST), Springer, 2019. (SCI, CCF-B)
[pdf]
- Fan Qiang, Yue Yu (corresponding author), Tao Wang, Gang Yin, Huaimin Wang.
Why API Documentation is Insufficient for Developers: an Empirical Study.
Science China Information Sciences, Springer, 2019. (SCI, CCF-B, Letter)
[pdf]
- Zhixing Li, Yue Yu (corresponding author), Tao Wang, Gang Yin, Xinjun Mao, Huaimin Wang.
HAF: A Hybrid Annotation Framework Based on Expert Knowledge and Learning Technique.
Science China Information Sciences, Springer, 2019. (SCI, CCF-B, Letter)
[pdf]
- Dongyang Hu, Yang Zhang, Junsheng Chang, Gang Yin, Yue Yu, Tao Wang.
Multi-reviewing pull-requests: An exploratory study on GitHub OSS projects.
Information and Software Technology (IST), Elsevier, 2019. (SCI, CCF-B)
[pdf]
- Haotian Wang, Wenjing Yang, Zhipeng Lin, Yue Yu.
TMDA: Task-Specific Multi-Source Domain Adaptation via Clustering Embedded Adversarial Training.
IEEE International Conference on Data Mining (ICDM 2019), Beijing, China, 2019. (CCF-B)
[pdf]
2018
- Yue Yu*, Zhixing Li*, Gang Yin, Tao Wang, Huaimin Wang.
A Dataset of Duplicate Pull-requests in GitHub.
The 15th International Conference on Mining Software Repositories (MSR 2018), Gothenburg, Sweden, 2018. (CCF-C, CORE-A)
[pdf]
- Yang Zhang, Yue Yu, Huaimin Wang, Bogdan Vasilescu and Vladimir Filkov.
Within-Ecosystem Issue Linking: A Large-scale Study of Rails.
The 7th International Workshop on Mining Software Repositories (SoftwareMining@ASE 2018), France. 2018.
[pdf]
- Shangwen Wang, Tao Wang, Xiaoguang Mao, Gang Yin, Yue Yu.
A Hybrid Approach for Tag Hierarchy Construction.
The 17th International Conference on Software Reuse (ICSR 2018), Madrid, Spain, 2018.
[pdf]
- Yue Yu, Yarong Zeng, Qiang Fan, Huaimin Wang.
Transferring Well-Trained Models for Cross-Project Issue Classification: A Large-Scale Empirical Study.
The 10th Asia-Pacific Symposium on Internetware (Internetware 2018), Beijing, China, 2018.
[pdf]
2017
- Qiang Fan, Yue Yu (corresponding author), Gang Yin, Tao Wang, Huaimin Wang.
Where is the Road for Issue Reports Classification Based on Text Mining.
Empirical Software Engineering and Measurement (ESEM 2017), Toronto, Canada, 2017. (CCF-B)
[pdf]
- Zhixing Li, Yue Yu (corresponding author), Gang Yin, Tao Wang, Qiang Fan, Huaimin Wang.
Automatic Classification of Review Comments in Pull-based Development Model.
The 29th International Conference on Software Engineering and Knowledge Engineering (SEKE), Pittsburgh, USA, 2017. (CCF-C)
[pdf]
- Zhixing Li, Yue Yu (corresponding author), Gang Yin, Tao Wang, Huaimin Wang.
What are they talking about? Analyzing Code Reviews in Pull-based Development Model.
Journal of Computer Science and Technology (JCST), Springer, 2017. (SCI, CCF-B)
[pdf]
- Xunhui Zhang, Tao Wang, Gang Yin, Cheng Yang, Yue Yu, Huaimin Wang.
DevRec: A Developer Recommendation System for Open Source Repositories.
International Conference on Software Reuse (ICSR), Springer, 2017. (CCF-C)
[pdf]
- Zhixing Li, Gang Yin, Yue Yu, Tao Wang, Huaimin Wang.
Detecting duplicate pull-requests in GitHub.
Asia-Pacific Symposium on Internetware, ACM, 2017.
[pdf]
2016
- Yue Yu, Huaimin Wang, Gang Yin, Tao Wang.
Reviewer Recommendation for Pull-Requests in GitHub: What Can We Learn from Code Review and Bug Assignment?.
Information and Software Technology (IST), Elsevier, 2016. (SCI, CCF-B)
[pdf]
- Yue Yu, Gang Yin, Tao Wang, Cheng Yang, Huaimin Wang.
Determinants of pull-based development in the context of continuous integration.
Science China Information Sciences, Springer, 2016. (SCI, CCF-B)
[pdf]
- Yang Zhang, Huaimin Wang, Gang Yin, Tao Wang, Yue Yu.
Social media in GitHub: the role of @-mention in assisting software development.
Science China Information Sciences, Springer, 2016. (SCI, CCF-B)
[pdf]
- Zhixing Li, Gang Yin, Yang Zhang, Yue Yu, and Huaimin Wang.
Correlation-based software search by leveraging software term database.
Frontiers of Computer Science (FCS), Springer, 2016. (SCI, CCF-C)
[pdf]
2015
- Bogdan Vasilescu*, Yue Yu*, Huaimin Wang, Prem Devanbu, Vladimir Filkov.
Quality and Productivity Outcomes Relating to Continuous Integration in GitHub.
The 10th Joint Meeting of the European Software Engineering Conference and
the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2015), Bergamo, Italy, 2015.
(*both are first authors and contributed equally to the work, CCF-A)
[pdf]
- Yue Yu, Huaimin Wang, Vladimir Filkov, Prem Devanbu, Bogdan Vasilescu.
Wait For It: Determinants of Pull Request Evaluation Latency on GitHub.
The 12th International Conference on Mining Software Repositories (MSR 2015), Florence, Italy, 2015. (CCF-C, CORE-A)
[pdf]
- Yang Zhang, Huaimin Wang, Gang Yin, Tao Wang, Yue Yu.
Exploring the Use of @-mention to Assist Software Development in GitHub.
The Seventh Asia-Pacific Symposium on Internetware, Wuhan, China, 2015.
[pdf]
- Yang Zhang, Huaimin Wang, Gang Yin, Tao Wang, Yue Yu.
Evaluating Bug Severity Using Crowd-based Knowledge: An Exploratory Study.
The Seventh Asia-Pacific Symposium on Internetware, Wuhan, China, 2015.
[pdf]
Awards and Honors
- Outstanding Ph.D. Thesis Award of Hunan Province, China, 2018; (湖南省优秀博士学位论文奖)
- ACM Changsha Doctoral Dissertation Award, China, 2016; (ACM中国长沙分会优秀博士论文奖)
- 2013 OW2 International Programming Contest Special Prize (Only One)
- 2012 OW2 International Programming Contest First Prize (Top 1)
- 2011 National Information Security Competition Third Prize (17%)
- 2010 National Information Security Competition First Prize (2.3%)
- Awarded First-class Scholarship in WHU 2010-2011 (Top 5%)
- Awarded National Scholarship of China 2009-2010 (Top 2)
- Honored as Outstanding Graduates of WHU 2007-2011 (20%)
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