个人简历

孙海龙,长聘副教授，博士生导师。2008年1月于北京航空航天大学获得计算机软件与理论专业博士学位，2008年7月-2008年12月受邀访问美国AT&T实验室，并开展分布式系统方向的合作研究，2015年8月-2016年8月获国家留学基金委资助访问加拿大多伦多大学分布式系统组，并开展软件性能优化的合作研究。曾获2010年全国优博和2009年CCF优博奖、国家技术发明二等奖2项、教育部科技进步一等奖3项，2011年分别入选教育部新世纪优秀人才和北京市科技新星计划。指导学生获得国际开源软件联盟OW2竞赛一等奖、IEEE SCC’13最佳学生论文奖、ChineseCSCW’17最佳论文奖。\r
\r
近年来，主持国家重点研发计划课题1项，国家自然科学基金项目2项，并作为课题副组长或技术骨干参与10余项国家自然科学基金、973计划、863计划及核高基等重大/重点项目。在OSDI、IJCAI、WWW、AAAI、CIKM、DSN、TSC、Information Systems、 Information Sciences、Computer Networks、FGCS、JCST和《中国科学》等国际会议与期刊发表论文100余篇，获得发明专利授权40余项。

研究领域

群体智能、智能软件工程、开源软件和分布式系统等。\r
\r
（1）群体智能：人工智能的分支方向之一，主要研究大规模开放群体环境下的智能汇聚问题。例如：众包、人本计算、机器学习系统等。\r
\r
（2）智能软件工程：人工智能、软件工程与大数据的交叉融合方向。一方面，研究如何把AI用于软件开发过程，如群智化软件开发、开源社区分析、自动化缺陷定位、自动化程序修复、开发者智能推荐、自动编程、低代码及无代码开发等；另一方面，研究如何用软工的方法提高AI系统的构建效率与质量，如神经网络的模块化分析、机器学习系统测试等。\r
\r
（3）开源软件：软件生态安全、开源软件供应链、开源开放社区分析与智能化治理。\r
\r
（4）分布式系统：服务计算系统、副本管理、JVM、区块链等。""

近期论文

Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang, Zhaotian Li, Xudong Liu. Reusing Deep Neural Network Models through Model Re-engineering. The 45th IEEE/ACM International Conference on Software Engineering (ICSE 2023)（accepted）. \r
\r
Xiangxin Meng, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu, Chunming Hu. Template-based Neural Program Repair. The 45th IEEE/ACM International Conference on Software Engineering (ICSE 2023)（accepted）. \r
\r
Zhijun Chen, Jie Yang, Haoqian He, Hailong Sun, Pengpeng Chen. Learning from Noisy Crowd Labels with Logics. The 39th IEEE International Conference on Data Engineering (ICDE'2023)（accepted）. \r
\r
Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang. Patching Weak Convolutional Neural Network Models through Modularization and Composition. The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE'2022). \r
\r
Jingzheng Li, Hailong Sun. Correct Twice at Once: Learning to Correct Noisy Labels for Robust Deep Learning. The 30th ACM International Conference on Multimedia (MM-22) . \r
\r
Xiangxin Meng, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu. Improving fault localization and program repair with deep semantic features and transferred knowledge. The 44th International Conference on Software Engineering (ICSE-22). \r
\r
Pengpeng Chen, Hailong Sun,Yongqiang Yang, Zhijun Chen. Adversarial Learning from Crowds. The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22). \r
\r
Binhang Qi, Hailong Sun, Wei Yuan, Hongyu Zhang, Xiangxin Meng. DreamLoc: A deep relevance matching-based framework for bug localization. IEEE Transactions on Reliability 71 (1), 2022:235-249. \r
\r
Zizhe Wang, Hailong Sun. Teaching Active Human Learners. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) .\r
\r
Zhijun Chen, Huimin Wang, Hailong Sun, Pengpeng Chen, Tao Han, Xudong Liu, Jie Yang. Structured Probabilistic End-to-End Learning from Crowds. The 29th International Joint Conference on Artificial Intelligence(IJCAI 2020).\r
\r
Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun,Yanjun Pu, Xudong Liu. Learning to Handle Exceptions. The 35th IEEE/ACM International Conference on Automated Software Engineering (ASE'20). \r
\r
Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu. Retrieval-based Neural Source Code Summarization. The 42nd International Conference on Software Engineering (ICSE'20). \r
\r
Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu. A Novel Neural Source Code Representation based on Abstract Syntax Tree. The 41st International Conference on Software Engineering (ICSE'19). \r
\r
Luting Ye, Hailong Sun, Xu Wang, Jiaruijue Wang. Personalized Teammate Recommendation for Crowdsourced Software Developers. The 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE'18). \r
\r
Yili Fang, Hailong Sun, Pengpeng Chen and Jinpeng Huai. On the Cost Complexity of Crowdsourcing. IJCAI 2018. \r
\r
Jian Zhang, Hailong Sun, Yanfei Tian and Xudong Liu. Semantically Enhanced Tag Recommendation for Software CQAs via Deep Learning. The 40th International Conference on Software Engineering (ICSE'18). \r
\r
Zizhe Wang, Hailong Sun, Yang Fu and Luting Ye. Recommending Crowdsourced Software Developers in Consideration of Skill Improvement. The 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE'17). \r
\r
Tao Han, Hailong Sun, Yangqiu Song, Zizhe Wang and Xudong Liu. Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition. The 26th ACM International Conference on Information and Knowledge Management (CIKM'17). \r
\r
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. \r
\r
David Lion, Adrian Chiu, Hailong Sun, Xin Zhuang, Nikola Grcevski, and Ding Yuan. Don't Get Caught In the Cold, Warm-up Your JVM: Understand and Eliminate JVM Warm-up Overhead In Data-parallel Systems. Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI-16), November 2016, Savannah, GA. \r
\r
Heting Wu, Hailong Sun, Yili Fang, Kefan Hu, Yongqing Xie, Yangqiu Song, Xudong Liu. Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews. The 29th AAAI Conference on Artificial Intelligence (AAAI-15) (poster). \r
\r
Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang. Spectral Label Refinement for Noisy and Missing Text Labels. The 29th AAAI Conference on Artificial Intelligence (AAAI-15).\r
\r
Wancai Zhang, Hailong Sun, Xudong Liu and Xiaohui Guo. Temporal QoS-Aware Web Service Recommendation via Non-negative Tensor Factorization. The 23rd International World Wide Web Conference (WWW 2014). \r
\r
Yili Fang, Hailong Sun, Richong Zhang, JingpengHuai, Yongyi Mao. A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows. The 28th AAAI Conference on Artificial Intelligence (AAAI-14).\r
\r
Shujie Wu, Hailong Sun, Pengpeng Chen and Xudong Liu. Service4Crowd: A Service Oriented Process Management Platform for Crowdsourcing. The 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2018)-demonstration.