Yue Yu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 77

Top Topics

Personalized Recommendation

Fault Localization

Software Engineering

Top Venues

IEEE Trans. Software Eng.

Publications

Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang
GGT: Graph-guided testing for adversarial sample detection of deep neural network. Comput. Secur. 140 (2024)
Hanyang Peng, Yue Yu, Shiqi Yu
Re-Thinking the Effectiveness of Batch Normalization and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
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 J. Comput. Soc. 5 (2024)
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. ACL (Findings) (2024)
Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning. CoRR (2024)
Haoran Liu, Zhouyang Jia, Shanshan Li, Yan Lei, Yue Yu, Yu Jiang, Xiaoguang Mao, Xiangke Liao
Cut to the Chase: An Error-Oriented Approach to Detect Error-Handling Bugs. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Yingwei Ma, Yue Liu, Yue Yu, Yuanliang Zhang, Yu Jiang, Changjian Wang, Shanshan Li
At Which Training Stage Does Code Data Help LLMs Reasoning? ICLR (2024)
Shujiong Tang, Yue Yu, Hui Wang, Guiliang Wang, Wuhui Chen, Zenglin Xu, Song Guo, Wen Gao
A Survey on Scheduling Techniques in Computing and Network Convergence. IEEE Commun. Surv. Tutorials 26 (1) (2024)
Zicong Hong, Jian Lin, Song Guo, Sifu Luo, Wuhui Chen, Roger Wattenhofer, Yue Yu
Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation. EuroSys (2024)
Xiaohan Bi, Ruobing Zhao, Binhang Qi, Hailong Sun, Xiang Gao, Yue Yu, Xiaojun Liang
ModelFoundry: A Tool for DNN Modularization and On-Demand Model Reuse Inspired by the Wisdom of Software Engineering. SIGSOFT FSE Companion (2024)
Shiyu Liu, Jinglong Luo, Yehong Zhang, Hui Wang, Yue Yu, Zenglin Xu
Efficient privacy-preserving Gaussian process via secure multi-party computation. J. Syst. Archit. 151 (2024)
Junlin Wei, Pengfei Lin, Jinrong Jiang, Hailong Liu, Lian Zhao, Yehong Zhang, Xiang Han, Feng Zhang, Jian Huang, Yuzhu Wang, Youyun Li, Yue Yu, Xuebin Chi
Accelerating LASG/IAP climate system ocean model version 3 for performance portability using Kokkos. Future Gener. Comput. Syst. 160 (2024)
Zicong Hong, Xiaoyu Qiu, Jian Lin, Wuhui Chen, Yue Yu, Hui Wang, Song Guo, Wen Gao
Intelligence-Endogenous Management Platform for Computing and Network Convergence. IEEE Netw. 38 (4) (2024)
Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding. LREC/COLING (2024)
Ying Wang, Peng Sun, Lin Pei, Yue Yu, Chang Xu, Shing-Chi Cheung, Hai Yu, Zhiliang Zhu
Plumber: Boosting the Propagation of Vulnerability Fixes in the npm Ecosystem. IEEE Trans. Software Eng. 49 (5) (2023)
Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Linxiao Bai, Wei Dong, Xiangke Liao
deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search. ACM Trans. Softw. Eng. Methodol. 32 (2) (2023)
Zhuo Zhang, Yan Lei, Ting Su, Meng Yan, Xiaoguang Mao, Yue Yu
Influential Global and Local Contexts Guided Trace Representation for Fault Localization. ACM Trans. Softw. Eng. Methodol. 32 (3) (2023)
Yingwei Ma, Yue Yu, Shanshan Li, Zhouyang Jia, Jun Ma, Rulin Xu, Wei Dong, Xiangke Liao
MulCS: Towards a Unified Deep Representation for Multilingual Code Search. SANER (2023)
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 Trans. Software Eng. 49 (4) (2023)
Yingwei Ma, Yue Liu, Yue Yu, Yuanliang Zhang, Yu Jiang, Changjian Wang, Shanshan Li
At Which Training Stage Does Code Data Help LLMs Reasoning? CoRR (2023)
Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Yao Cheng, Yue Yu, Tieming Chen, Xianglong Liu
Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons. Inf. Sci. 637 (2023)
Xiaojie Li, Shaowei He, Jianlong Wu, Yue Yu, Liqiang Nie, Min Zhang
Mask Again: Masked Knowledge Distillation for Masked Video Modeling. ACM Multimedia (2023)
Huan Xie, Maojin Li, Yan Lei, Jian Hu, Shanshan Li, Xiaoguang Mao, Yue Yu
On the Reliability of Coverage Data for Fault Localization. APSEC (2023)
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. ISSRE (2023)
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. Proc. VLDB Endow. 16 (7) (2023)
Xiaojie Li, Jianlong Wu, Shaowei He, Shuo Kang, Yue Yu, Liqiang Nie, Min Zhang
Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning. ACM Multimedia (2023)
Yibo Wang, Ying Wang, Tingwei Zhang, Yue Yu, Shing-Chi Cheung, Hai Yu, Zhiliang Zhu
Can Machine Learning Pipelines Be Better Configured? ESEC/SIGSOFT FSE (2023)
Teng Wang, Zhouyang Jia, Shanshan Li, Si Zheng, Yue Yu, Erci Xu, Shaoliang Peng, Xiangke Liao
Understanding and Detecting On-The-Fly Configuration Bugs. ICSE (2023)
Zhixing Li, Yue Yu, Tao Wang, Yan Lei, Ying Wang, Huaimin Wang
To Follow or Not to Follow: Understanding Issue/Pull-Request Templates on GitHub. IEEE Trans. Software Eng. 49 (4) (2023)
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. Nat. Mac. Intell. 5 (4) (2023)
Xunhui Zhang, Yue Yu, Georgios Gousios, Ayushi Rastogi
Pull Request Decisions Explained: An Empirical Overview. IEEE Trans. Software Eng. 49 (2) (2023)
Zhixing Li, Yue Yu, Minghui Zhou, Tao Wang, Gang Yin, Long Lan, Huaimin Wang
Redundancy, Context, and Preference: An Empirical Study of Duplicate Pull Requests in OSS Projects. IEEE Trans. Software Eng. 48 (4) (2022)
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. ASE (2022)
Tanghaoran Zhang, Yue Yu, Xinjun Mao, Yao Lu, Zhixing Li, Huaimin Wang
FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect prediction. Empir. Softw. Eng. 27 (7) (2022)
Zhixing Li, Yue Yu, Tao Wang, Shanshan Li, Huaimin Wang
Opportunities and Challenges in Repeated Revisions to Pull-Requests: An Empirical Study. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Zhixing Li, Yue Yu, Tao Wang, Shanshan Li, Huaimin Wang
Opportunities and Challenges in Repeated Revisions to Pull-Requests: An Empirical Study. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Zhixing Li, Yue Yu, Tao Wang, Gang Yin, Xinjun Mao, Huaimin Wang
HAF: a hybrid annotation framework based on expert knowledge and learning technique. Sci. China Inf. Sci. 65 (1) (2022)
Zeting Pan, Yue Yu, Junsheng Chang
A Distributed Graph Inference Computation Framework Based on Graph Neural Network Model. SEKE (2022)
Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Zhenguang Liu, Qi Xuan, Yue Yu, Yao Cheng
DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity. CoRR (2022)
Huan Xie, Yan Lei, Meng Yan, Yue Yu, Xin Xia, Xiaoguang Mao
A Universal Data Augmentation Approach for Fault Localization. ICSE (2022)
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 Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Zhixing Li, Yue Yu, Tao Wang, Gang Yin, Shanshan Li, Huaimin Wang
Are You Still Working on This? An Empirical Study on Pull Request Abandonment. IEEE Trans. Software Eng. 48 (6) (2022)
Xunhui Zhang, Yue Yu, Tao Wang, Ayushi Rastogi, Huaimin Wang
Pull request latency explained: an empirical overview. Empir. Softw. Eng. 27 (6) (2022)
Xunhui Zhang, Tao Wang, Yue Yu, Qiubing Zeng, Zhixing Li, Huaimin Wang
Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github's Sponsor Mechanism. CHI (2022)
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. ICSE (2022)
Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang
GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network. CoRR (2021)
Ruoxi Chen, Haibo Jin, Jinyin Chen, Haibin Zheng, Yue Yu, Shouling Ji
NIP: Neuron-level Inverse Perturbation Against Adversarial Attacks. CoRR (2021)
Qiang Fan, Yue Yu, Tao Wang, Gang Yin, Huaimin Wang
Why API documentation is insufficient for developers: an empirical study. Sci. China Inf. Sci. 64 (1) (2021)
Zhixing Li, Yue Yu, Tao Wang, Gang Yin, Xinjun Mao, Huaimin Wang
Detecting Duplicate Contributions in Pull-Based Model Combining Textual and Change Similarities. J. Comput. Sci. Technol. 36 (1) (2021)
Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang
Detecting Adversarial Samples with Graph-Guided Testing. ASE (2021)
Xunhui Zhang, Yue Yu, Georgios Gousios, Ayushi Rastogi
Pull Request Decision Explained: An Empirical Overview. CoRR (2021)
Cheng Yang, Dongyang Hu, Yang Zhang, Tao Wang, Yue Yu
An Empirical Study of Multi-discussing Pattern in Open-Source Software Development. Internetware (2020)
Xunhui Zhang, Ayushi Rastogi, Yue Yu
On the Shoulders of Giants: A New Dataset for Pull-based Development Research. MSR (2020)
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. ICSE (2020)
Zhang Zhang, Xinjun Mao, Yao Lu, Jinyu Lu, Yue Yu, Zhixing Li
Automatic Voter Recommendation Method for Closing Questions in Stack Overflow. Int. J. Softw. Eng. Knowl. Eng. 30 (11&12) (2020)
Cheng Yang, Qiang Fan, Tao Wang, Gang Yin, Xunhui Zhang, Yue Yu, Huaimin Wang
RepoLike: amulti-feature-based personalized recommendation approach for open-source repositories. Frontiers Inf. Technol. Electron. Eng. 20 (2) (2019)
Dongyang Hu, Yang Zhang, Junsheng Chang, Gang Yin, Yue Yu, Tao Wang
Multi-reviewing pull-requests: An exploratory study on GitHub OSS projects. Inf. Softw. Technol. 115 (2019)
Jiangtao Xue, Xinjun Mao, Yao Lu, Yue Yu, Shangwen Wang
History-Driven Fix for Code Quality Issues. IEEE Access 7 (2019)
Yarong Zeng, Yue Yu, Qiang Fan, Xunhui Zhang, Tao Wang, Gang Yin, Huaimin Wang
Cross-Project Issue Classification Based on Ensemble Modeling in a Social Coding World. ICONIP (4) (2018)
Yang Zhang, Gang Yin, Tao Wang, Yue Yu, Huaimin Wang
An Insight Into the Impact of Dockerfile Evolutionary Trajectories on Quality and Latency. COMPSAC (1) (2018)
Qiankun Li, Gang Yin, Tao Wang, Yue Yu
Building a Cloud-Ready Program: A highly scalable Implementation based on Kubernetes. ICAIP (2018)
Yue Yu, Yarong Zeng, Qiang Fan, Huaimin Wang
Transferring Well-Trained Models for Cross-Project Issue Classification: A Large-Scale Empirical Study. Internetware (2018)
Yue Yu, Zhixing Li, Gang Yin, Tao Wang, Huaimin Wang
A dataset of duplicate pull-requests in github. MSR (2018)
Yang Zhang, Yue Yu, Huaimin Wang, Bogdan Vasilescu, Vladimir Filkov
Within-ecosystem issue linking: a large-scale study of rails. SoftwareMining@ASE (2018)
Zhixing Li, Gang Yin, Tao Wang, Yang Zhang, Yue Yu, Huaimin Wang
Correlation-based software search by leveraging software term database. Frontiers Comput. Sci. 12 (5) (2018)
Jinze Liu, Zhixing Li, Tao Wang, Yue Yu, Gang Yin
Adaptive software search toward users' customized requirements in GitHub. SEKE (2018)
Dongyang Hu, Ming Chen, Tao Wang, Junsheng Chang, Gang Yin, Yue Yu, Yang Zhang
Recommending Similar Bug Reports: A Novel Approach Using Document Embedding Model. APSEC (2018)
Tao Wang, Yang Zhang, Gang Yin, Yue Yu, Huaimin Wang
Who Will Become a Long-Term Contributor?: A Prediction Model based on the Early Phase Behaviors. Internetware (2018)
Zhixing Li, Yue Yu, Gang Yin, Tao Wang, Huaimin Wang
What Are They Talking About? Analyzing Code Reviews in Pull-Based Development Model. J. Comput. Sci. Technol. 32 (6) (2017)
Xunhui Zhang, Tao Wang, Gang Yin, Cheng Yang, Yue Yu, Huaimin Wang
DevRec: A Developer Recommendation System for Open Source Repositories. ICSR (2017)
Qiang Fan, Yue Yu, Gang Yin, Tao Wang, Huaimin Wang
Where Is the Road for Issue Reports Classification Based on Text Mining? ESEM (2017)
Zhixing Li, Gang Yin, Yue Yu, Tao Wang, Huaimin Wang
Detecting Duplicate Pull-requests in GitHub. Internetware (2017)
Yang Zhang, Huaimin Wang, Gang Yin, Tao Wang, Yue Yu
Social media in GitHub: the role of @-mention in assisting software development. Sci. China Inf. Sci. 60 (3) (2017)
Zhixing Li, Yue Yu, Gang Yin, Tao Wang, Qiang Fan, Huaimin Wang
Automatic Classification of Review Comments in Pull-based Development Model. SEKE (2017)
Yue Yu, Bogdan Vasilescu, Huaimin Wang, Vladimir Filkov, Premkumar T. Devanbu
Initial and Eventual Software Quality Relating to Continuous Integration in GitHub. CoRR (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? Inf. Softw. Technol. 74 (2016)
Yue Yu, Gang Yin, Tao Wang, Cheng Yang, Huaimin Wang
Determinants of pull-based development in the context of continuous integration. Sci. China Inf. Sci. 59 (8) (2016)
Yang Zhang, Gang Yin, Tao Wang, Yue Yu, Huaimin Wang
Evaluating Bug Severity Using Crowd-based Knowledge: An Exploratory Study. Internetware (2015)
Bogdan Vasilescu, Yue Yu, Huaimin Wang, Premkumar T. Devanbu, Vladimir Filkov
Quality and productivity outcomes relating to continuous integration in GitHub. ESEC/SIGSOFT FSE (2015)
Yang Zhang, Huaimin Wang, Gang Yin, Tao Wang, Yue Yu
Exploring the Use of @-mention to Assist Software Development in GitHub. Internetware (2015)
Yue Yu, Huaimin Wang, Vladimir Filkov, Premkumar T. Devanbu, Bogdan Vasilescu
Wait for It: Determinants of Pull Request Evaluation Latency on GitHub. MSR (2015)
Gang Yin, Tao Wang, Huaimin Wang, Qiang Fan, Yang Zhang, Yue Yu, Cheng Yang
OSSEAN: Mining Crowd Wisdom in Open Source Communities. SOSE (2015)
Yang Zhang, Gang Yin, Yue Yu, Huaimin Wang
Investigating social media in GitHub's pull-requests: a case study on Ruby on Rails. CrowdSoft@SIGSOFT FSE (2014)
Yue Yu, Gang Yin, Huaimin Wang, Tao Wang
Exploring the patterns of social behavior in GitHub. CrowdSoft@SIGSOFT FSE (2014)
Yang Zhang, Gang Yin, Yue Yu, Huaimin Wang
A Exploratory Study of @-Mention in GitHub's Pull-Requests. APSEC (1) (2014)
Yue Yu, Huaimin Wang, Gang Yin, Charles X. Ling
Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration. APSEC (1) (2014)
Yue Yu, Huaimin Wang, Gang Yin, Charles X. Ling
Reviewer Recommender of Pull-Requests in GitHub. ICSME (2014)
Yue Yu, Huaimin Wang, Gang Yin, Xiang Li, Cheng Yang
HESA: The Construction and Evaluation of Hierarchical Software Feature Repository. SEKE (2013)
Yue Yu, Huaimin Wang, Gang Yin, Bo Liu
Mining and recommending software features across multiple web repositories. Internetware (2013)
Yue Yu, Huaimin Wang, Bo Liu, Gang Yin
A Trusted Remote Attestation Model Based on Trusted Computing. TrustCom/ISPA/IUCC (2013)
Xiang Li, Huaimin Wang, Gang Yin, Tao Wang, Cheng Yang, Yue Yu, Dengqing Tang
Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework. ADMA (2012)