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ORCIDHailong Sun 0001
Person information
- affiliation: Beihang University, School of Computer Science and Engineering, China
Other persons with the same name
- Hailong Sun 0002 — Southeast University, Nanjing, China
- Hailong Sun 0003 — QuFu Normal University, Shandong Province, China
- Hailong Sun 0004 — Northeast Forestry University, College of Information and Computer Engineering, Harbin, China
- Hailong Sun 0005
![[0000-0001-7673-6012]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7673-6012")
— National University of Singapore, Singapore - Hailong Sun 0006 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China
- Hailong Sun 0007 — Beijing Jiaotong University, School of Computer and Information Technology, China
- Hailong Sun 0008 — Northwestern Polytechnical University, School of Automation, Xi'an, China
- Hailong Sun 0009 — China Electronics System Technology Corporation, Beijing, China
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2020 – today
- 2025
[j43]Yijun Shen, Xiang Gao, Hailong Sun, Yu Guo:
Understanding vulnerabilities in software supply chains. Empir. Softw. Eng. 30(1): 20 (2025)- 2024
- [j42]Jingzheng Li, Hailong Sun, Lei Chai, Jiyi Li:
Target Structure Learning Framework for Unsupervised Multi-Class Domain Adaptation. ACM Trans. Multim. Comput. Commun. Appl. 20(11): 349:1-349:23 (2024) - [j41]Binhang Qi, Hailong Sun, Hongyu Zhang, Xiang Gao:
Reusing Convolutional Neural Network Models through Modularization and Composition. ACM Trans. Softw. Eng. Methodol. 33(3): 70:1-70:39 (2024) - [j40]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): 148 (2024) - [c126]Lei Chai, Lu Qi, Hailong Sun, Jingzheng Li:
RA3: A Human-in-the-loop Framework for Interpreting and Improving Image Captioning with Relation-Aware Attribution Analysis. ICDE 2024: 330-341 - [c125]Binhang Qi, Hailong Sun, Hongyu Zhang, Ruobing Zhao, Xiang Gao:
Modularizing while Training: A New Paradigm for Modularizing DNN Models. ICSE 2024: 31:1-31:12 - [c124]Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li:
Investigating White-Box Attacks for On-Device Models. ICSE 2024: 152:1-152:12 - [c123]Yunlong Ma, Wentong Tian, Xiang Gao, Hailong Sun, Li Li:
API Misuse Detection via Probabilistic Graphical Model. ISSTA 2024: 88-99 - [c122]Zhongchi Wang, Hailong Sun, Zhengyang Zhao:
FedEvalFair: A Privacy-Preserving and Statistically Grounded Federated Fairness Evaluation Framework. ACM Multimedia 2024: 7191-7199 - [c121]Wenling Zhang, Yixiao Li, Zhaotian Li, Hailong Sun, Xiang Gao, Xudong Liu:
ModelGalaxy: A Versatile Model Retrieval Platform. SIGIR 2024: 2771-2775 - [c120]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: 617-621 - [c119]Shuo Hong, Hailong Sun, Xiang Gao, Shin Hwei Tan:
Investigating and Detecting Silent Bugs in PyTorch Programs. SANER 2024: 272-283 - [c118]Yixin Yang, Ming Wen, Xiang Gao, Yuting Zhang, Hailong Sun:
Reducing False Positives of Static Bug Detectors Through Code Representation Learning. SANER 2024: 681-692 - [i16]Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li:
Investigating White-Box Attacks for On-Device Models. CoRR abs/2402.05493 (2024) - [i15]Zhengyao Liu, Xitong Zhong, Xingjing Deng, Shuo Hong, Xiang Gao, Hailong Sun:
Scalable Defect Detection via Traversal on Code Graph. CoRR abs/2406.08098 (2024) - [i14]Xiangping Chen, Xing Hu, Yuan Huang, He Jiang, Weixing Ji, Yanjie Jiang, Yanyan Jiang, Bo Liu, Hui Liu, Xiaochen Li, Xiaoli Lian, Guozhu Meng, Xin Peng, Hailong Sun, Lin Shi, Bo Wang, Chong Wang, Jiayi Wang, Tiantian Wang, Jifeng Xuan, Xin Xia, Yibiao Yang, Yixin Yang, Li Zhang, Yuming Zhou, Lu Zhang:
Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities. CoRR abs/2410.13110 (2024) - [i13]Zhe Zhang, Xingyu Liu, Yuanzhang Lin, Xiang Gao, Hailong Sun, Yuan Yuan:
LLM-based Unit Test Generation via Property Retrieval. CoRR abs/2410.13542 (2024) - 2023
- [j39]Jingzheng Li, Hailong Sun, Jiyi Li:
Beyond confusion matrix: learning from multiple annotators with awareness of instance features. Mach. Learn. 112(3): 1053-1075 (2023) - [j38]Jingzheng Li, Hailong Sun:
NaCL: noise-robust cross-domain contrastive learning for unsupervised domain adaptation. Mach. Learn. 112(9): 3473-3496 (2023) - [c117]Zhaotian Li, Binhang Qi, Hailong Sun, Xiang Gao:
AutoMRM: A Model Retrieval Method Based on Multimodal Query and Meta-learning. CIKM 2023: 1228-1237 - [c116]Zhijun Chen, Hailong Sun, Haoqian He, Pengpeng Chen:
Learning from Noisy Crowd Labels with Logics. ICDE 2023: 41-52 - [c115]Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang, Zhaotian Li, Xudong Liu:
Reusing Deep Neural Network Models through Model Re-engineering. ICSE 2023: 983-994 - [c114]Xiangxin Meng, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu, Chunming Hu:
Template-based Neural Program Repair. ICSE 2023: 1456-1468 - [c113]Pengpeng Chen, Yongqiang Yang, Dingqi Yang, Hailong Sun, Zhijun Chen, Peng Lin:
Black-Box Data Poisoning Attacks on Crowdsourcing. IJCAI 2023: 2975-2983 - [c112]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: 1370-1382 - [c111]Zhijun Chen, Hailong Sun, Wanhao Zhang, Chunyi Xu, Qianren Mao, Pengpeng Chen:
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler. KDD 2023: 274-285 - [c110]Jingzheng Li, Hailong Sun:
LiFT: Transfer Learning in Vision-Language Models for Downstream Adaptation and Generalization. ACM Multimedia 2023: 4678-4687 - [i12]Zhijun Chen, Hailong Sun, Haoqian He, Pengpeng Chen:
Learning from Noisy Crowd Labels with Logics. CoRR abs/2302.06337 (2023) - [i11]Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang, Zhaotian Li, Xudong Liu:
Reusing Deep Neural Network Models through Model Re-engineering. CoRR abs/2304.00245 (2023) - [i10]Binhang Qi, Hailong Sun, Hongyu Zhang, Ruobing Zhao, Xiang Gao:
Modularizing while Training: a New Paradigm for Modularizing DNN Models. CoRR abs/2306.09376 (2023) - [i9]Zhijun Chen, Hailong Sun, Wanhao Zhang, Chunyi Xu, Qianren Mao, Pengpeng Chen:
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler. CoRR abs/2309.05086 (2023) - [i8]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 abs/2311.01311 (2023) - [i7]Binhang Qi, Hailong Sun, Hongyu Zhang, Xiang Gao:
Reusing Convolutional Neural Network Models through Modularization and Composition. CoRR abs/2311.04438 (2023) - [i6]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 abs/2312.14862 (2023) - 2022
- [j37]Yi Yang, Pengpeng Chen, Hailong Sun:
Incorporating pixel proximity into answer aggregation for crowdsourced image segmentation. CCF Trans. Pervasive Comput. Interact. 4(2): 172-187 (2022) - [j36]Lei Chai, Hailong Sun, Zizhe Wang:
An error consistency based approach to answer aggregation in open-ended crowdsourcing. Inf. Sci. 608: 1029-1044 (2022) - [j35]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): 235-249 (2022) - [c109]Pengpeng Chen, Hailong Sun, Yongqiang Yang, Zhijun Chen:
Adversarial Learning from Crowds. AAAI 2022: 5304-5312 - [c108]Ruoxuan Yang, Yongqiang Yang, Yijun Shen, Hailong Sun:
An Approach to Assessing the Health of Opensource Software Ecosystems. ChineseCSCW (1) 2022: 465-480 - [c107]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: 1169-1180 - [c106]Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang:
Patching Weak Convolutional Neural Network Models through Modularization and Composition. ASE 2022: 74:1-74:12 - [c105]Jingzheng Li, Hailong Sun:
Correct Twice at Once: Learning to Correct Noisy Labels for Robust Deep Learning. ACM Multimedia 2022: 5142-5151 - [c104]Xiaotao Song, Jiafei Yan, Yuexin Huang, Hailong Sun, Hongyu Zhang:
A Collaboration-Aware Approach to Profiling Developer Expertise with Cross-Community Data. QRS 2022: 344-355 - [i5]Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang:
Patching Weak Convolutional Neural Network Models through Modularization and Composition. CoRR abs/2209.06116 (2022) - 2021
- [j34]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): 154315 (2021) - [j33]Shahbaz Ali, Hailong Sun, Yongwang Zhao:
Model learning: a survey of foundations, tools and applications. Frontiers Comput. Sci. 15(5): 155210 (2021) - [c103]Zizhe Wang, Hailong Sun:
Teaching Active Human Learners. AAAI 2021: 5850-5857 - [c102]Pengpeng Chen, Hailong Sun, Zhijun Chen:
Data Poisoning Attacks on Crowdsourcing Learning. APWeb/WAIM (1) 2021: 164-179 - [c101]Wei Yuan, Yuan Xiong, Hailong Sun, Xudong Liu:
Incorporating Multiple Features to Predict Bug Fixing Time with Neural Networks. ICSME 2021: 93-103 - [i4]Jingzheng Li, Hailong Sun, Jiyi Li, Zhijun Chen, Renshuai Tao, Yufei Ge:
Learning from Multiple Annotators by Incorporating Instance Features. CoRR abs/2106.15146 (2021) - 2020
- [j32]Zhenyu Zhang, Hailong Sun, Hongyu Zhang:
Developer recommendation for Topcoder through a meta-learning based policy model. Empir. Softw. Eng. 25(1): 859-889 (2020) - [j31]Wei Yuan, Shan Lu, Hailong Sun, Xudong Liu:
How are distributed bugs diagnosed and fixed through system logs? Inf. Softw. Technol. 119 (2020) - [j30]Pengpeng Chen, Hailong Sun, Yili Fang, Xudong Liu:
CONAN: A framework for detecting and handling collusion in crowdsourcing. Inf. Sci. 515: 44-63 (2020) - [j29]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): 232-239 (2020) - [c100]Wei Yuan, Binhang Qi, Hailong Sun, Xudong Liu:
DependLoc: A Dependency-based Framework For Bug Localization. APSEC 2020: 61-70 - [c99]Chengbin Sun, Hailong Sun, Xudong Liu:
Robust Adversarial Active Learning with a Novel Diversity Constraint. IEEE BigData 2020: 226-231 - [c98]Jingyue Wang, Binhang Qi, Wentao Zhang, Hailong Sun:
A Low-Code Development Framework for Constructing Industrial Apps. ChineseCSCW 2020: 237-250 - [c97]Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu:
Retrieval-based neural source code summarization. ICSE 2020: 1385-1397 - [c96]Zhijun Chen, Huimin Wang, Hailong Sun, Pengpeng Chen, Tao Han, Xudong Liu, Jie Yang:
Structured Probabilistic End-to-End Learning from Crowds. IJCAI 2020: 1512-1518 - [c95]Yuexin Huang, Hailong Sun:
Best Answerers Prediction With Topic Based GAT In Q&A Sites. Internetware 2020: 156-164 - [c94]Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Yanjun Pu, Xudong Liu:
Learning to Handle Exceptions. ASE 2020: 29-41 - [c93]Zizhe Wang, Hailong Sun, Tao Han:
Predicting Crowdsourcing Worker Performance with Knowledge Tracing. KSEM (2) 2020: 352-359
2010 – 2019
- 2019
- [j28]Xiaotao Song, Hailong Sun, Xu Wang, Jiafei Yan:
A Survey of Automatic Generation of Source Code Comments: Algorithms and Techniques. IEEE Access 7: 111411-111428 (2019) - [j27]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): 1950050:1-1950050:18 (2019) - [c92]Jing Wang, Xiangxin Meng, Huimin Wang, Hailong Sun:
An Online Developer Profiling Tool Based on Analysis of GitLab Repositories. ChineseCSCW 2019: 408-417 - [c91]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: 783-794 - [c90]Shahbaz Ali, Hailong Sun, Yongwang Zhao:
Combining Model Learning and Model Checking to Analyze Java Libraries. SOFL+MSVL 2019: 259-278 - [i3]Shahbaz Ali, Hailong Sun, Yongwang Zhao:
Model Learning: A Survey on Foundation, Tools and Applications. CoRR abs/1901.01910 (2019) - [i2]Xiaotao Song, Hailong Sun, Xu Wang, Jiafei Yan:
A Survey of Automatic Generation of Source Code Comments: Algorithms and Techniques. CoRR abs/1907.10863 (2019) - 2018
- [j26]Yili Fang, Hailong Sun, Guoliang Li, Richong Zhang, Jin-Peng Huai:
Context-aware result inference in crowdsourcing. Inf. Sci. 460-461: 346-363 (2018) - [j25]Pengpeng Chen, Hailong Sun, Yili Fang, Jinpeng Huai:
Collusion-Proof Result Inference in Crowdsourcing. J. Comput. Sci. Technol. 33(2): 351-365 (2018) - [j24]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): 113-118 (2018) - [c89]Yanfei Tian, Xu Wang, Hailong Sun, Yi Zhao, Chunbo Guo, Xudong Liu:
Automatically Generating API Usage Patterns from Natural Language Queries. APSEC 2018: 59-68 - [c88]Zihan Ban, Jiafei Yan, Hailong Sun:
Identifying Potential Experts on Stack Overflow. ChineseCSCW 2018: 301-315 - [c87]Shujie Wu, Hailong Sun, Pengpeng Chen, Xudong Liu:
Service4Crowd: A Service Oriented Process Management Platform for Crowdsourcing. CSCW Companion 2018: 37-40 - [c86]Jin Ding, Hailong Sun, Xu Wang, Xudong Liu:
Entity-level sentiment analysis of issue comments. SEmotion@ICSE 2018: 7-13 - [c85]Jian Zhang, Hailong Sun, Yanfei Tian, Xudong Liu:
Semantically enhanced tag recommendation for software CQAs via deep learning. ICSE (Companion Volume) 2018: 294-295 - [c84]Yili Fang, Hailong Sun, Pengpeng Chen, Jinpeng Huai:
On the Cost Complexity of Crowdsourcing. IJCAI 2018: 1531-1537 - [c83]Jiafei Yan, Hailong Sun, Xu Wang, Xudong Liu, Xiaotao Song:
Profiling Developer Expertise across Software Communities with Heterogeneous Information Network Analysis. Internetware 2018: 2:1-2:9 - [c82]Yifei Da, Hailong Sun, Xudong Liu:
A Hybrid Approach to Developer Recommendation Based on Multi-relationship. Internetware 2018: 13:1-13:6 - [c81]Luting Ye, Hailong Sun, Xu Wang, Jiaruijue Wang:
Personalized teammate recommendation for crowdsourced software developers. ASE 2018: 808-813 - 2017
- [j23]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): 88-104 (2017) - [j22]Yu Tang, Hailong Sun, Xu Wang, Xudong Liu:
Achieving convergent causal consistency and high availability for cloud storage. Future Gener. Comput. Syst. 74: 20-31 (2017) - [j21]Hailong Sun, Kefan Hu, Yili Fang, Yangqiu Song:
Adaptive Result Inference for Collecting Quantitative Data With Crowdsourcing. IEEE Internet Things J. 4(5): 1389-1398 (2017) - [j20]Hailong Sun, Yu Tang, Qi Wang, Xudong Liu:
Handling multi-dimensional complex queries in key-value data stores. Inf. Syst. 66: 82-96 (2017) - [j19]Zeqi Lin, Bing Xie, Yanzhen Zou, Junfeng Zhao, Xuandong Li, Jun Wei, Hailong Sun, Gang Yin:
Intelligent Development Environment and Software Knowledge Graph. J. Comput. Sci. Technol. 32(2): 242-249 (2017) - [j18]Yili Fang, Hailong Sun, Pengpeng Chen, Ting Deng:
Improving the Quality of Crowdsourced Image Labeling via Label Similarity. J. Comput. Sci. Technol. 32(5): 877-889 (2017) - [j17]Hailong Sun, Bang Xiao, Xu Wang, Xudong Liu:
Adaptive trade-off between consistency and performance in data replication. Softw. Pract. Exp. 47(6): 891-906 (2017) - [j16]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) - [c80]Yili Fang, Pengpeng Chen, Kai Sun, Hailong Sun:
A Decision Tree Based Quality Control Framework for Multi-phase Tasks in Crowdsourcing. ChineseCSCW 2017: 10-17 - [c79]Tao Han, Hailong Sun, Yangqiu Song, Zizhe Wang, Xudong Liu:
Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition. CIKM 2017: 1059-1068 - [c78]Zizhe Wang, Hailong Sun, Yang Fu, Luting Ye:
Recommending crowdsourced software developers in consideration of skill improvement. ASE 2017: 717-722 - 2016
- [j15]Richong Zhang, Han Bao, Hailong Sun, Yanghao Wang, Xudong Liu:
Recommender systems based on ranking performance optimization. Frontiers Comput. Sci. 10(2): 270-280 (2016) - [c77]Fumin Sun, Xu Wang, Hailong Sun, Xudong Liu:
Recommendflow: Use Topic Model to Automatically Recommend Stack Overflow Q&A in IDE. CollaborateCom 2016: 521-526 - [c76]Yili Fang, Hailong Sun, Guoliang Li, Richong Zhang, Jinpeng Huai:
Effective Result Inference for Context-Sensitive Tasks in Crowdsourcing. DASFAA (1) 2016: 33-48 - [c75]Tao Han, Hailong Sun, Yangqiu Song, Yili Fang, Xudong Liu:
Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition. IJCAI 2016: 1541-1547 - [c74]Yu Tang, Hailong Sun, Xu Wang, Xudong Liu, Zhenglin Xia:
Achieving convergent causal consistency and high availability with asynchronous replication. IWQoS 2016: 1-2 - [c73]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: 383-400 - 2015
- [j14]Xu Wang, Hailong Sun, Ting Deng, Jinpeng Huai:
On the tradeoff of availability and consistency for quorum systems in data center networks. Comput. Networks 76: 191-206 (2015) - [j13]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): 526-545 (2015) - [j12]Hailong Sun, Xu Wang, Minzhi Yan, Yu Tang, Xudong Liu:
Service4All: a scalable PaaS platform for service-oriented software. Int. J. Web Grid Serv. 11(2): 229-245 (2015) - [c72]Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang:
Spectral Label Refinement for Noisy and Missing Text Labels. AAAI 2015: 2972-2978 - [c71]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: 4220-4221 - [c70]Yue Fan, Hailong Sun, Xudong Liu:
Truthful Incentive Mechanisms for Dynamic and Heterogeneous Tasks in Mobile Crowdsourcing. ICTAI 2015: 881-888 - [c69]Dahai Yao, Hailong Sun, Xudong Liu:
Combining Crowd Contributions with Machine Learning to Detect Malicious Mobile Apps. Internetware 2015: 120-123 - [c68]Minzhi Yan, Hailong Sun, Xudong Liu:
Efficient Testing of Web Services with Mobile Crowdsourcing. Internetware 2015: 157-165 - [c67]Yue Fan, Hailong Sun, Xudong Liu:
Poster: TRIM: A Truthful Incentive Mechanism for Dynamic and Heterogeneous Tasks in Mobile Crowdsensing. MobiCom 2015: 272-274 - [c66]Yue Fan, Hailong Sun, Yanmin Zhu, Xudong Liu, Ji Yuan:
A Truthful Online Auction for Tempo-spatial Crowdsourcing Tasks. SOSE 2015: 332-338 - 2014
- [j11]Hualei Shen, Dianfu Ma, Yongwang Zhao, Hailong Sun, Sujun Sun, Rongwei Ye, Lei Huang, Bo Lang, Yan Sun:
MIAPS: A web-based system for remotely accessing and presenting medical images. Comput. Methods Programs Biomed. 113(1): 266-283 (2014) - [j10]Peilong Xu, Zhe Zhang, Hailong Sun, Richong Zhang, Xudong Liu:
A Cooperation Framework Towards the Internet of Applications. Int. J. Softw. Informatics 8(1): 43-66 (2014) - [c65]