施鹤远

特聘副教授 博士生导师 硕士生导师

所在单位:电子信息学院

办公地点:中南大学铁道校区电子楼401

性别:男

联系方式:shiheyuan@csu.edu.cn

在职信息:在职

毕业院校:清华大学

   

个人简介

施鹤远,中南大学电子信息学院特聘副教授,湖南省科技人才托举工程“小荷”科技人才,湖南省水处理数字化工程技术研究中心副主任。研究方向为基础软件质量保障与开源操作系统生态安全,重点关注基础软件、云原生、工业网络系统中的软件质量安全问题。以第一作者或通讯作者在FSE、TSE、RTSS、ISSTA、EMSOFT、TCAD、SANER等CCF-A/B类会刊发表论文20余篇,授权国家发明专利7项。主持国家自然科学基金青年项目、科技部重点研发项目子课题、湖南省自然科学基金青年项目、长沙市科技重大专项项目、教育部产学合作协同育人项目、湖南省教育科学“十四五”规划2023年度基地课题等项目。


招生指标:研究生2-3人/年。欢迎本科生、研究生加入团队,一起做一件有价值有意义的事。团队与清华大学软件学院、阿里云基础软件操作系统部、龙蜥开源社区等团队长期深入合作,欢迎同学交流沟通。

Github Pages:    https://shiheyuan.github.io

Google Scholar: https://scholar.google.com/citations?hl=zh-CN&user=30hFs1cAAAAJ


工作经历

2022.03 - 至今 中南大学 电子信息学院 特聘副教授

2020.07 - 2022.02 阿里云-基础软件-操作系统部/达摩院-操作系统实验室 高级开发工程师


教育经历

2015.09 - 2020.07 清华大学 软件学院,软件工程专业,博士(导师:孙家广,中国工程院院士)

2011.09 - 2015.07 中南大学 信息科学与工程学院,电气工程及其自动化专业,学士


奖励荣誉

- 湖南省科技人才托举工程“小荷”科技人才,2023


研究兴趣

基础软件质量保障;开源操作系统生态安全;工控协议安全;


代表性项目

[1]城市污水处理异构网络通信协议关键技术研究与产业化-长沙市科技重大专项项目(PI,100万) 2024.01-2026.12

[2]数据智能驱动的CVE度量评估及其补丁合入-阿里巴巴全球创新研究计划(PI,30万) 2023.05-2024.05

[3]操作系统内核靶向模糊测试-国家自然科学基金青年项目(PI,30万) 2023.01-2025.12

[4]基于覆盖感知的算法因子关系学习-国家科技部重点研发计划项目(子课题PI,160万) 2023.01-2025.12

[5]报文数据驱动的协议靶向差分模糊测试-湖南省自然科学基金青年项目(PI,5万) 2023.01-2025.12

[6]污水管控治一体化智能处理协同创新研究与应用-三友环保(PI,500万) 2022.11-2025.10

[7]基于龙蜥社区项目的软件测试技术课程建设-教育部协同育人项目(PI,5万) 2022.09-2024.09


课程教学

[1]软件体系结构-本科生,专业核心课(2023秋)


代表性会议论文(*表示通信作者)

[1]Rongkai Liu, Heyuan Shi*, Yongchao Zhang, Runzhe Wang, Shen Yuheng, Yuao Chen, Jing Luo, Xiaohai Shi, Chao Hu, Yu Jiang: PatchBert: Continuous Stable Patch Identification for Linux Kernel via Pre-trained Model Fine-tuning. International Conference on Software Analysis, Evolution, and Reengineering 2024 [SANER, CCF-B]

[2]Yuheng Shen, Shijun Chen, Jianzhong Liu, Yiru Xu, Qiang Zhang, Runzhe Wang, Heyuan Shi* and Yu Jiang*: Brief Industry Paper: Directed Kernel Fuzz Testing on Real-time Linux. IEEE Real-Time Systems Symposium 2023 [RTSS, CCF-A]

[3]Qinglong Wang, Runzhe Wang, Yuxi Hu, Xiaohai Shi, Zheng Liu, Tao Ma, Houbing Song, Heyuan Shi*: KeenTune: Automated Tuning Tool for Cloud Application Performance Testing and Optimization. ACM SIGSOFT International Symposium on Software Testing and Analysis 2023: 1487-1490 [ISSTA, CCF-A]

[4]Runzhe Wang, Qinglong Wang, Yuxi Hu, Heyuan Shi*, Yuheng Shen, Yu Zhan, Ying Fu, Zheng Liu, Xiaohai Shi, Yu Jiang: Industry practice of configuration auto-tuning for cloud applications and services. ESEC/SIGSOFT FSE 2022: 1555-1565 [FSE, CCF-A]

[5]Yuheng Shen, Hao Sun, Yu Jiang, Heyuan Shi*, Yixiao Yang*, Wanli Chang: Rtkaller: State-aware Task Generation for RTOS Fuzzing. ACM SIGBED International Conference on Embedded Software, 2021 [EMSOFT, CCF-B]

[6]Zhipin Gu, Yuexiang Yang, Heyuan Shi*: Detecting Malicious Gradients from Asynchronous SGD on Variational Autoencoder. SRDS 2021: 321-330 [SRDS, CCF-B]

[7]Jiawei Luo, Zihan Lai, Cong Shen, Pei Liu, Heyuan Shi*: Graph Attention Mechanism-based Deep Tensor Factorization for Predicting disease-associated miRNA-miRNA pairs. BIBM 2021: 189-196 [BIBM, CCF-B]

[8]Heyuan Shi, Runzhe Wang, Ying Fu, Mingzhe Wang, Xiaohai Shi, Xun Jiao, Houbing Song, Yu Jiang*, Jiaguang Sun: Industry practice of coverage-guided enterprise Linux kernel fuzzing. ESEC/SIGSOFT FSE 2019: 986-995 [FSE, CCF-A]


代表性期刊论文(*表示通信作者)

[1]Fangfang Li, Zhi Liu, Junwen Duan, Xingliang Mao, Heyuan Shi*, Shichao Zhang: Exploiting Conversation-Branch-Tweet HyperGraph Structure to Detect Misinformation on Social Media. ACM Trans. Knowl. Discov. Data 18(2): 33:1-33:20 (2024) [TKDD, CCF-B]

[2]Kehua Guo, Liang Chen, Xiangyuan Zhu, Xiaoyan Kui, Jian Zhang, Heyuan Shi*: Double-Layer Search and Adaptive Pooling Fusion for Reference-Based Image Super-Resolution. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 15:1-15:23 (2024) [TOMM, CCF-B]

[3]Yu Zhan, Ying Fu, Liang Huang, Jianmin Guo, Heyuan Shi*, Houbing Song, Chao Hu: Cube-Evo: A Query-Efficient Black-Box Attack on Video Classification System: IEEE Transactions on Reliability, 2023 [TR, JCR-1]

[4]Liqiang Wu, Heyuan Shi*, Shaojing Fu, Yuchuan Luo, Ming Xu: p2Detect: Electricity Theft Detection With Privacy Preservation for Both Data and Model in Smart Grid. IEEE Trans. Smart Grid 14(3): 2301-2312 (2023) [TSG, 中科院1区TOP]

[5]Heyuan Shi, Guyu Wang, Ying Fu, Chao Hu, Houbing Song, Jian Dong, Kun Tang, Kai Liang: Abaci-finder: Linux kernel crash classification through stack trace similarity learning. J. Parallel Distributed Comput. 168: 70-79 (2022) [JPDC, CCF-B]

[6]Yuheng Shen, Yiru Xu, Hao Sun, Jianzhong Liu, Zichen Xu, Aiguo Cui, Heyuan Shi*, Yu Jiang*: Tardis: Coverage-Guided Embedded Operating System Fuzzing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4563-4574 (2022) [TCAD CCF-A]

[7]Jinjing Shi, Shuhui Chen, Tian Chen, Tongge Zhao, Jiuqi Tang, Qin Li, Chunlin Yu, Heyuan Shi*: Image encryption with quantum cellular neural network. Quantum Inf. Process. 21(6): 214 (2022) [QIP, JCR-2]

[8]Jianmin Guo, Quan Zhang, Yue Zhao, Heyuan Shi*, Yu Jiang, Jia-Guang Sun: RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems. IEEE Trans. Software Eng. 48(10): 4167-4180 (2022) [TSE, CCF-A]

[9]Heyuan Shi, Runzhe Wang, Ying Fu, Yu Jiang*, Jian Dong, Kun Tang, Jiaguang Sun: Vulnerable Code Clone Detection for Operating System Through Correlation-Induced Learning. IEEE Trans. Ind. Informatics 15(12): 6551-6559 (2019) [TII,  中科院1区TOP]

[10]Heyuan Shi, Yubo Zhang, Zizhao Zhang, Nan Ma, Xibin Zhao, Yue Gao, Jiaguang Sun: Hypergraph-Induced Convolutional Networks for Visual Classification. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2963-2972 (2019) [TNNLS, CCF-B]

[11]Heyuan Shi, Xibin Zhao, Hai Wan, Huihui Wang, Jian Dong, Kun Tang, Anfeng Liu: Multi-model induced network for participatory-sensing-based classification tasks in intelligent and connected transportation systems. Comput. Networks 141: 157-165 (2018) [COMNET, JCR-1]


授权发明专利

[1]施鹤远;罗正雄;梁锴;胡超;沈煜恒;施荣华:一种操作系统内核模糊测试种子调度与评估方法,ZL202310351993.6,专利申请日:2023年04月04日

[2]施荣华;彭瑞康;施鹤远;胡超;梁锴;陈世俊:操作系统内核定向模糊测试的种子变异方法及测试方法,ZL202310288727.3,专利申请日:2023年03月23日

[3]施荣华;梁锴;施鹤远;胡超:一种操作系统内核模糊测试种子评估分配方法,ZL202210572212.1,专利申请日:2022年05月24日

[4]胡超;余瑞实;施鹤远;湛誉;梁锴;刘荣凯:基于强化学习的黑盒视频对抗样本生成方法及评价方法,ZL202211111492.2,专利申请日:2022年09月13日

[5]湛誉;黄亮;胡超;施鹤远:一种基于生成式网络的跨模态数据哈希检索攻击方法,ZL202210893350.X,专利申请日:2022年07月27日

[6]胡超;刘荣凯;施鹤远;夏方尚元;余瑞实;罗京:深度哈希方法,ZL202211581109.X,专利申请日:2022年12月09日

[7]胡超;夏方尚元;施鹤远;刘荣凯;梁锴:基于图卷积网络的深度哈希方法及交通数据检索方法,ZL202310195620.4,专利申请日:2023年03月03日


学术服务

TPC Member

- IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA, CCF-C). 2024

Reviewer

- IEEE Transactions on Sustainable Computing

- The Journal of Supercomputing

- Journal of Cryptologic Research (密码学报)

- IEEE Transactions on Neural Networks and Learning Systems

- Big Data Mining and Analytics


开源服务

- 龙蜥社区下一代质量技术SIG管理员:https://openanolis.cn/sig/qa_next