Hailong Sun

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 92

Top Venues

Publications

Binhang Qi, Hailong Sun, Hongyu Zhang, Ruobing Zhao, Xiang Gao
Modularizing while Training: A New Paradigm for Modularizing DNN Models. ICSE (2024)
Wenling Zhang, Yixiao Li, Zhaotian Li, Hailong Sun, Xiang Gao, Xudong Liu
ModelGalaxy: A Versatile Model Retrieval Platform. SIGIR (2024)
Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li
Investigating White-Box Attacks for On-Device Models. CoRR (2024)
Zhengyao Liu, Xitong Zhong, Xingjing Deng, Shuo Hong, Xiang Gao, Hailong Sun
Scalable Defect Detection via Traversal on Code Graph. CoRR (2024)
Shuo Hong, Hailong Sun, Xiang Gao, Shin Hwei Tan
Investigating and Detecting Silent Bugs in PyTorch Programs. SANER (2024)
Lei Chai, Lu Qi, Hailong Sun, Jingzheng Li
: A Human-in-the-loop Framework for Interpreting and Improving Image Captioning with Relation-Aware Attribution Analysis. ICDE (2024)
Binhang Qi, Hailong Sun, Hongyu Zhang, Xiang Gao
Reusing Convolutional Neural Network Models through Modularization and Composition. ACM Trans. Softw. Eng. Methodol. 33 (3) (2024)
Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li
Investigating White-Box Attacks for On-Device Models. ICSE (2024)
Xu Wang, Hongwei Yu, Xiangxin Meng, Hongliang Cao, Hongyu Zhang, Hailong Sun, Xudong Liu, Chunming Hu
MTL-TRANSFER: Leveraging Multi-task Learning and Transferred Knowledge for Improving Fault Localization and Program Repair. ACM Trans. Softw. Eng. Methodol. 33 (6) (2024)
Yixin Yang, Ming Wen, Xiang Gao, Yuting Zhang, Hailong Sun
Reducing False Positives of Static Bug Detectors Through Code Representation Learning. SANER (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)
Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang, Zhaotian Li, Xudong Liu
Reusing Deep Neural Network Models through Model Re-engineering. CoRR (2023)
Zhijun Chen, Hailong Sun, Haoqian He, Pengpeng Chen
Learning from Noisy Crowd Labels with Logics. ICDE (2023)
Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu, Chunming Hu, Yang Liu
Detecting Condition-Related Bugs with Control Flow Graph Neural Network. ISSTA (2023)
Binhang Qi, Hailong Sun, Hongyu Zhang, Ruobing Zhao, Xiang Gao
Modularizing while Training: a New Paradigm for Modularizing DNN Models. CoRR (2023)
Jingzheng Li, Hailong Sun
NaCL: noise-robust cross-domain contrastive learning for unsupervised domain adaptation. Mach. Learn. 112 (9) (2023)
Zhijun Chen, Hailong Sun, Wanhao Zhang, Chunyi Xu, Qianren Mao, Pengpeng Chen
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler. KDD (2023)
Pengpeng Chen, Yongqiang Yang, Dingqi Yang, Hailong Sun, Zhijun Chen, Peng Lin
Black-Box Data Poisoning Attacks on Crowdsourcing. IJCAI (2023)
Jingzheng Li, Hailong Sun, Jiyi Li
Beyond confusion matrix: learning from multiple annotators with awareness of instance features. Mach. Learn. 112 (3) (2023)
Binhang Qi, Hailong Sun, Hongyu Zhang, Xiang Gao
Reusing Convolutional Neural Network Models through Modularization and Composition. CoRR (2023)
Zhijun Chen, Hailong Sun, Wanhao Zhang, Chunyi Xu, Qianren Mao, Pengpeng Chen
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler. CoRR (2023)
Zhaotian Li, Binhang Qi, Hailong Sun, Xiang Gao
AutoMRM: A Model Retrieval Method Based on Multimodal Query and Meta-learning. CIKM (2023)
Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang, Zhaotian Li, Xudong Liu
Reusing Deep Neural Network Models through Model Re-engineering. ICSE (2023)
Yin Luo, Qingchao Kong, Nan Xu, Jia Cao, Bao Hao, Baoyu Qu, Bo Chen, Chao Zhu, Chenyang Zhao, Donglei Zhang, Fan Feng, Feifei Zhao, Hailong Sun, Hanxuan Yang, Haojun Pan, Hongyu Liu, Jianbin Guo, Jiangtao Du, Jingyi Wang, Junfeng Li, Lei Sun, Liduo Liu, Lifeng Dong, Lili Liu, Lin Wang, Liwen Zhang, Minzheng Wang, Pin Wang, Ping Yu, Qingxiao Li, Rui Yan, Rui Zou, Ruiqun Li, Taiwen Huang, Xiaodong Wang, Xiaofei Wu, Xin Peng, Xina Zhang, Xing Fang, Xinglin Xiao, Yanni Hao, Yao Dong, Yigang Wang, Ying Liu, Yongyu Jiang, Yungan Wang, Yuqi Wang, Zhangsheng Wang, Zhaoxin Yu, Zhen Luo, Wenji Mao, Lei Wang, Daniel Dajun Zeng
YAYI 2: Multilingual Open-Source Large Language Models. CoRR (2023)
Xiangxin Meng, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu, Chunming Hu
Template-based Neural Program Repair. ICSE (2023)
Zhijun Chen, Hailong Sun, Haoqian He, Pengpeng Chen
Learning from Noisy Crowd Labels with Logics. CoRR (2023)
Jingzheng Li, Hailong Sun
LiFT: Transfer Learning in Vision-Language Models for Downstream Adaptation and Generalization. ACM Multimedia (2023)
Li Li, Xiang Gao, Hailong Sun, Chunming Hu, Xiaoyu Sun, Haoyu Wang, Haipeng Cai, Ting Su, Xiapu Luo, Tegawendé F. Bissyandé, Jacques Klein, John C. Grundy, Tao Xie, Haibo Chen, Huaimin Wang
Software Engineering for OpenHarmony: A Research Roadmap. CoRR (2023)
Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang
Patching Weak Convolutional Neural Network Models through Modularization and Composition. CoRR (2022)
Xiangxin Meng, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu
Improving Fault Localization and Program Repair with Deep Semantic Features and Transferred Knowledge. ICSE (2022)
Xiaotao Song, Jiafei Yan, Yuexin Huang, Hailong Sun, Hongyu Zhang
A Collaboration-Aware Approach to Profiling Developer Expertise with Cross-Community Data. QRS (2022)
Jingzheng Li, Hailong Sun
Correct Twice at Once: Learning to Correct Noisy Labels for Robust Deep Learning. ACM Multimedia (2022)
Yi Yang, Pengpeng Chen, Hailong Sun
Incorporating pixel proximity into answer aggregation for crowdsourced image segmentation. CCF Trans. Pervasive Comput. Interact. 4 (2) (2022)
Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang
Patching Weak Convolutional Neural Network Models through Modularization and Composition. ASE (2022)
Binhang Qi, Hailong Sun, Wei Yuan, Hongyu Zhang, Xiangxin Meng
DreamLoc: A Deep Relevance Matching-Based Framework for bug Localization. IEEE Trans. Reliab. 71 (1) (2022)
Lei Chai, Hailong Sun, Zizhe Wang
An error consistency based approach to answer aggregation in open-ended crowdsourcing. Inf. Sci. 608 (2022)
Pengpeng Chen, Hailong Sun, Yongqiang Yang, Zhijun Chen
Adversarial Learning from Crowds. AAAI (2022)
Ruoxuan Yang, Yongqiang Yang, Yijun Shen, Hailong Sun
An Approach to Assessing the Health of Opensource Software Ecosystems. ChineseCSCW (1) (2022)
Tao Han, Hailong Sun, Yangqiu Song, Yili Fang, Xudong Liu
Find truth in the hands of the few: acquiring specific knowledge with crowdsourcing. Frontiers Comput. Sci. 15 (4) (2021)
Shahbaz Ali, Hailong Sun, Yongwang Zhao
Model learning: a survey of foundations, tools and applications. Frontiers Comput. Sci. 15 (5) (2021)
Pengpeng Chen, Hailong Sun, Zhijun Chen
Data Poisoning Attacks on Crowdsourcing Learning. APWeb/WAIM (1) (2021)
Zizhe Wang, Hailong Sun
Teaching Active Human Learners. AAAI (2021)
Wei Yuan, Yuan Xiong, Hailong Sun, Xudong Liu
Incorporating Multiple Features to Predict Bug Fixing Time with Neural Networks. ICSME (2021)
Jingzheng Li, Hailong Sun, Jiyi Li, Zhijun Chen, Renshuai Tao, Yufei Ge
Learning from Multiple Annotators by Incorporating Instance Features. CoRR (2021)
Zhijun Chen, Huimin Wang, Hailong Sun, Pengpeng Chen, Tao Han, Xudong Liu, Jie Yang
Structured Probabilistic End-to-End Learning from Crowds. IJCAI (2020)
Yuexin Huang, Hailong Sun
Best Answerers Prediction With Topic Based GAT In Q&A Sites. Internetware (2020)
Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Yanjun Pu, Xudong Liu
Learning to Handle Exceptions. ASE (2020)
Chengbin Sun, Hailong Sun, Xudong Liu
Robust Adversarial Active Learning with a Novel Diversity Constraint. IEEE BigData (2020)
Wei Yuan, Shan Lu, Hailong Sun, Xudong Liu
How are distributed bugs diagnosed and fixed through system logs? Inf. Softw. Technol. 119 (2020)
Wei Yuan, Binhang Qi, Hailong Sun, Xudong Liu
DependLoc: A Dependency-based Framework For Bug Localization. APSEC (2020)
Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu
Retrieval-based neural source code summarization. ICSE (2020)
Zizhe Wang, Hailong Sun, Tao Han
Predicting Crowdsourcing Worker Performance with Knowledge Tracing. KSEM (2) (2020)
Zhenyu Zhang, Hailong Sun, Hongyu Zhang
Developer recommendation for Topcoder through a meta-learning based policy model. Empir. Softw. Eng. 25 (1) (2020)
Pengpeng Chen, Hailong Sun, Yili Fang, Xudong Liu
CONAN: A framework for detecting and handling collusion in crowdsourcing. Inf. Sci. 515 (2020)
Jingyue Wang, Binhang Qi, Wentao Zhang, Hailong Sun
A Low-Code Development Framework for Constructing Industrial Apps. ChineseCSCW (2020)
Lei Wang, Ziqi Zhen, Tianyu Wo, Bo Jiang, Hailong Sun, Xiang Long
A Scalable Operating System Experiment Platform Supporting Learning Behavior Analysis. IEEE Trans. Educ. 63 (3) (2020)
Shahbaz Ali, Hailong Sun, Yongwang Zhao
Combining Model Learning and Model Checking to Analyze Java Libraries. SOFL+MSVL (2019)
Lina Yang, Hailong Sun, Cheng Zhong, Zuqiang Meng, Huiwu Luo, Xichun Li, Yuan Yan Tang, Yang Lu
Hyperspectral image classification using wavelet transform-based smooth ordering. Int. J. Wavelets Multiresolution Inf. Process. 17 (6) (2019)
Jing Wang, Xiangxin Meng, Huimin Wang, Hailong Sun
An Online Developer Profiling Tool Based on Analysis of GitLab Repositories. ChineseCSCW (2019)
Xiaotao Song, Hailong Sun, Xu Wang, Jiafei Yan
A Survey of Automatic Generation of Source Code Comments: Algorithms and Techniques. IEEE Access 7 (2019)
Shahbaz Ali, Hailong Sun, Yongwang Zhao
Model Learning: A Survey on Foundation, Tools and Applications. CoRR (2019)
Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Kaixuan Wang, Xudong Liu
A novel neural source code representation based on abstract syntax tree. ICSE (2019)
Xiaotao Song, Hailong Sun, Xu Wang, Jiafei Yan
A Survey of Automatic Generation of Source Code Comments: Algorithms and Techniques. CoRR (2019)
Yifei Da, Xudong Liu, Hailong Sun
大数据驱动的开发者社区中知识交流网络的分析 (Big Data Driven Analysis of Knowledge Exchange Network in Developer Community). 计算机科学 45 (9) (2018)
Shujie Wu, Hailong Sun, Pengpeng Chen, Xudong Liu
Service4Crowd: A Service Oriented Process Management Platform for Crowdsourcing. CSCW Companion (2018)
Yifei Da, Hailong Sun, Xudong Liu
A Hybrid Approach to Developer Recommendation Based on Multi-relationship. Internetware (2018)
Zihan Ban, Jiafei Yan, Hailong Sun
Identifying Potential Experts on Stack Overflow. ChineseCSCW (2018)
Jian Zhang, Hailong Sun, Yanfei Tian, Xudong Liu
Semantically enhanced tag recommendation for software CQAs via deep learning. ICSE (Companion Volume) (2018)
Luting Ye, Hailong Sun, Xu Wang, Jiaruijue Wang
Personalized teammate recommendation for crowdsourced software developers. ASE (2018)
Yili Fang, Hailong Sun, Pengpeng Chen, Jinpeng Huai
On the Cost Complexity of Crowdsourcing. IJCAI (2018)
Pengpeng Chen, Hailong Sun, Yili Fang, Jinpeng Huai
Collusion-Proof Result Inference in Crowdsourcing. J. Comput. Sci. Technol. 33 (2) (2018)
Jin Ding, Hailong Sun, Xu Wang, Xudong Liu
Entity-level sentiment analysis of issue comments. SEmotion@ICSE (2018)
Yili Fang, Hailong Sun, Guoliang Li, Richong Zhang, Jin-Peng Huai
Context-aware result inference in crowdsourcing. Inf. Sci. (2018)
Yanfei Tian, Xu Wang, Hailong Sun, Yi Zhao, Chunbo Guo, Xudong Liu
Automatically Generating API Usage Patterns from Natural Language Queries. APSEC (2018)
Jiafei Yan, Hailong Sun, Xu Wang, Xudong Liu, Xiaotao Song
Profiling Developer Expertise across Software Communities with Heterogeneous Information Network Analysis. Internetware (2018)
Hailong Sun, Kefan Hu, Yili Fang, Yangqiu Song
Adaptive Result Inference for Collecting Quantitative Data With Crowdsourcing. IEEE Internet Things J. 4 (5) (2017)
Yili Fang, Hailong Sun, Pengpeng Chen, Ting Deng
Improving the Quality of Crowdsourced Image Labeling via Label Similarity. J. Comput. Sci. Technol. 32 (5) (2017)
David Lion, Adrian Chu, Hailong Sun, Xin Zhuang, Nikola Grcevski, Ding Yuan
Don't Get Caught in the Cold, Warm Up Your JVM. login Usenix Mag. 42 (1) (2017)
Yu Tang, Hailong Sun, Xu Wang, Xudong Liu
Achieving convergent causal consistency and high availability for cloud storage. Future Gener. Comput. Syst. 74 (2017)
Yili Fang, Pengpeng Chen, Kai Sun, Hailong Sun
A Decision Tree Based Quality Control Framework for Multi-phase Tasks in Crowdsourcing. ChineseCSCW (2017)
Hailong Sun, Bang Xiao, Xu Wang, Xudong Liu
Adaptive trade-off between consistency and performance in data replication. Softw. Pract. Exp. 47 (6) (2017)
Tao Han, Hailong Sun, Yangqiu Song, Zizhe Wang, Xudong Liu
Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition. CIKM (2017)
Zeqi Lin, Bing Xie, Yanzhen Zou, Junfeng Zhao, Xuan-Dong Li, Jun Wei, Hailong Sun, Gang Yin
Intelligent Development Environment and Software Knowledge Graph. J. Comput. Sci. Technol. 32 (2) (2017)
Yu Tang, Hailong Sun, Xu Wang, Xudong Liu
An efficient and highly available framework of data recency enhancement for eventually consistent data stores. Frontiers Comput. Sci. 11 (1) (2017)
Hailong Sun, Yu Tang, Qi Wang, Xudong Liu
Handling multi-dimensional complex queries in key-value data stores. Inf. Syst. 66 (2017)
Zizhe Wang, Hailong Sun, Yang Fu, Luting Ye
Recommending crowdsourced software developers in consideration of skill improvement. ASE (2017)
Tao Han, Hailong Sun, Yangqiu Song, Yili Fang, Xudong Liu
Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition. IJCAI (2016)
Richong Zhang, Han Bao, Hailong Sun, Yanghao Wang, Xudong Liu
Recommender systems based on ranking performance optimization. Frontiers Comput. Sci. 10 (2) (2016)
Fumin Sun, Xu Wang, Hailong Sun, Xudong Liu
Recommendflow: Use Topic Model to Automatically Recommend Stack Overflow Q&A in IDE. CollaborateCom (2016)
Yili Fang, Hailong Sun, Guoliang Li, Richong Zhang, Jinpeng Huai
Effective Result Inference for Context-Sensitive Tasks in Crowdsourcing. DASFAA (1) (2016)
David Lion, Adrian Chiu, Hailong Sun, Xin Zhuang, Nikola Grcevski, Ding Yuan
Don't Get Caught in the Cold, Warm-up Your JVM: Understand and Eliminate JVM Warm-up Overhead in Data-Parallel Systems. OSDI (2016)
Yu Tang, Hailong Sun, Xu Wang, Xudong Liu, Zhenglin Xia
Achieving convergent causal consistency and high availability with asynchronous replication. IWQoS (2016)
Yue Fan, Hailong Sun, Xudong Liu
Poster: TRIM: A Truthful Incentive Mechanism for Dynamic and Heterogeneous Tasks in Mobile Crowdsensing. MobiCom (2015)
Minzhi Yan, Hailong Sun, Xudong Liu
Efficient Testing of Web Services with Mobile Crowdsourcing. Internetware (2015)
Yue Fan, Hailong Sun, Xudong Liu
Truthful Incentive Mechanisms for Dynamic and Heterogeneous Tasks in Mobile Crowdsourcing. ICTAI (2015)
Dahai Yao, Hailong Sun, Xudong Liu
Combining Crowd Contributions with Machine Learning to Detect Malicious Mobile Apps. Internetware (2015)
Minzhi Yan, Hailong Sun, Xudong Liu, Ting Deng, Xu Wang
Delivering Web service load testing as a service with a global cloud. Concurr. Comput. Pract. Exp. 27 (3) (2015)
Yue Fan, Hailong Sun, Yanmin Zhu, Xudong Liu, Ji Yuan
A Truthful Online Auction for Tempo-spatial Crowdsourcing Tasks. SOSE (2015)
Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang
Spectral Label Refinement for Noisy and Missing Text Labels. AAAI (2015)
Heting Wu, Hailong Sun, Yili Fang, Kefan Hu, Yongqing Xie, Yangqiu Song, Xudong Liu
Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews. AAAI (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hailong Sun