基本信息

姓名:刘燕兵    正高级工程师,博士生导师

工作单位:中国科学院信息工程研究所

联系地址:北京市海淀区树村路19号,邮编:100193

电子邮件:liuyanbing@iie.ac.cn


简介:刘燕兵,中国科学院信息工程研究所正高级工程师、博士生导师,信息内容分析研究室副主任(主持工作),中科院特聘研究岗位,中国科学院大学岗位教授,中国计算机学会高级会员。主要开展智能信息处理、数据挖掘与机器学习、信息内容安全等方向的研究工作,在国内外重要学术会议和期刊上发表论文100余篇,申请发明专利50余项(授权31项),申请软著8项,指导博士生和硕士生30余人。承担了科技部、中科院、基金委以及国家相关部门的二十余项科研任务,担任科技部重点研发计划项目负责人和重大工程项目技术副总师,研发了超大规模精确串匹配和正则表达式匹配技术,在历次评测比赛中均稳居国内第一,应用效果显著。获得新疆科技进步一等奖、中央办公厅科技进步二等奖、中国科学院大学优秀本科生指导教师、CNCERT中国信息安全技术公开赛第一名等荣誉和奖励。

学生培养

已指导学生

刘小梅  硕士研究生  085211-计算机技术  

卢宇航  硕士研究生  083900-网络空间安全  

郭晶晶  硕士研究生  083900-网络空间安全  

谢洁  硕士研究生  083900-网络空间安全  

唐钰葆  硕士研究生  085211-计算机技术  

张路  硕士研究生  085211-计算机技术  

李哲舟  硕士研究生  085211-计算机技术  

田腾  硕士研究生  085211-计算机技术  

王晓琳  硕士研究生  085211-计算机技术  

王志平  硕士研究生  085211-计算机技术  

夏辉  硕士研究生  085211-计算机技术  

现指导学生

张春燕  博士研究生  083900-网络空间安全  

孙恭鑫  博士研究生  081203-计算机应用技术  

张啸梁  博士研究生  083900-网络空间安全  

李志平  硕士研究生  083900-网络空间安全  

杨宇凌  博士研究生  083900-网络空间安全  

徐阳焰  博士研究生  081203-计算机应用技术  

高意  硕士研究生  083900-网络空间安全  

陈伟卓  硕士研究生  085400-电子信息  

付煜  硕士研究生  085400-电子信息  

郭鹏  硕士研究生  085400-电子信息  

胡成  博士研究生  083900-网络空间安全  

徐品  博士研究生  083900-网络空间安全  

杜冰  博士研究生  083900-网络空间安全  

郭点点  硕士研究生  083900-网络空间安全  

黄一鸣  硕士研究生  085400-电子信息  

工作经历

2012.1至今:中国科学院信息工程研究所,副研究员(2013),正高级工程师(2018)

2006.7-2011.12:中国科学院计算技术研究所,研究实习员(2006),助理研究员(2008)

研究方向

​智能信息处理,数据挖掘与机器学习,信息内容安全

论文专利软著

学术论文

1.Yi Gao, Fangfang Yuan, Cong Cao, Majing Su, Dakui Wang, Yanbing Liu, Few-shot Malicious Domain Detection on Heterogeneous Graph with Meta-learning, International Conference on Computer Supported Cooperative Work in Design (CSCWD), pages:727-732, 2023

2.Diandian Guo, Majing Su, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Yanbing Liu, Jianhui Fu, Curvature-Driven Knowledge Graph Embedding for Link Prediction, International Conference on Computer Supported Cooperative Work in Design (CSCWD), pages:1226-1231, 2023

3.Yangyan Xu, Fangfang Yuan, Cong Cao, Xiaoliang Zhang, Majing Su, Dakui Wang, Yanbing Liu, MetaBERT: Collaborative Meta-Learning for Accelerating BERT Inference, International Conference on Computer Supported Cooperative Work in Design (CSCWD), pages:119-124, 2023

4.Zhiping Li, Fangfang Yuan, Cong Cao, Dakui Wang, Jiali Feng, Baoke Li, Yanbing Liu, Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning, International Conference on Computational Science (ICCS), pages:268-282, 2023

5.Yangyan Xu, Fangfang Yuan, Cong Cao, Majing Su, Yuhai Lu, Yanbing Liu, A Contrastive Self-distillation BERT with Kernel Alignment-Based Inference, International Conference on Computational Science (ICCS), pages:553-565, 2023

6.Yuhai Lu, Xiaolin Wang, Fangfang Yuan, Cong Cao, Xiaoliang Zhang, Yanbing Liu, RegexClassifier: A GNN-Based Recognition Method for State-Explosive Regular Expressions, 2023 IEEE Symposium on Computers and Communications (ISCC), 2023

7.Jiali Feng, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Zhiping Li, Yanbing Liu, Jianlong Tan, DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-Aware Heterogeneous Graph Transformer, International Conference Neural Information Processing(ICONIP), pages:468-479, 2022

8.Baoke Li, Cong Cao, Fangfang Yuan, Yanbing Liu, Baohui Li, Binxing Fang, EPGraph: An Efficient Graph Computing Model in Persistent Memory System, IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), pages:9-17, 2022

9.Zhiping Li, Fangfang Yuan, Yanbing Liu, Cong Cao, Fang Fang, Jianlong Tan, Heterogeneous Graph Attention Network for Malicious Domain Detection, 31st International Conference on Artificial Neural Networks(ICANN), pages:506-518, 2022

10.Cheng Hu, Fangfang Yuan, Yanbing Liu, Cong Cao, Chunyan Zhang, Jianlong Tan, Malicious Domain Detection with Heterogeneous Graph Propagation Network, Wireless Algorithms, Systems, and Applications(WASA), pages:545-556, 2022

11.Fangfang Yuan, Teng Tian, Yanmin Shang, Yuhai Lu, Yanbing Liu, Jianlong Tan, Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning, International Conference Neural Information Processing(ICONIP), pages:464-476, 2021

12.Baoke Li, Cong Cao, Yanbing Liu, Yuhai Lu, Baohui Li, Binxing Fang, D2Graph: An Efficient and Unified Out-of-Core Graph Computing Model, The 19th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), pages: 193-201, 2021

13.Xiaoxue Li, Yanan Cao, Qian Li, Yanmin Shang, Yangxi Li, Yanbing Liu, Guandong Xu, RLINK: Deep reinforcement learning for user identity linkage, World Wide Web, 24(1):85-103, 2021

14.Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang, Deep Differential Amplifier for Extractive Summarization, ACL/IJCNLP, pages:366-376, 2021

15.Lu Zhang, Yawei Kong, Fang Fang, Cong Cao, Yanan Cao, Yanbing Liu, Can Ma, Human-Like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling, International Conference on Computational Science(ICCS), pages:257-270, 2021

16.Yubao Tang, Zhezhou Li, Cong Cao, Fang Fang, Yanan Cao, Yanbing Liu, Jianhui Fu, Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification. The 14th International Conference on Knowledge Science, Engineering and Management (KSEM), pages:101-114, 2021

17.Yuhai Lu, Chunyan Zhang, Cong Cao, Yanbing Liu, Jianlong Tan, BV-CEI: A Compact Implementation of Interval Query Indexing Algorithm, BigDataSE, pages:80-86, 2021

18.Hui Shi, Wei Ma, XiaoLiang Zhang, JunYan Jiang, ShuJuan Chen, Yanbing Liu, A Hybrid Paper Recommendation Method by Using Heterogeneous Graph and Metadata, International Joint Conference on Neural Networks (IJCNN), pages:1-8, 2020

19.Xiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan, Yanbing Liu, Type-aware Anchor Link Prediction across Heterogeneous Networks based on Graph Attention Network, AAAI Conference on Artificial Intelligence (AAAI), pages:147-155, 2020

20.Jing Yu, Yuhang Lu, Weifeng Zhang, Zengchang Qin, Yanbing Liu, Yue Hu, Learning cross-modal correlations by exploring inter-word semantics and stacked co-attention, Pattern Recognition Letters(PRL), pages:189-198, 2020

21.Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan, Data Augmentation for Insider Threat Detection with GAN, IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), pages: 632-638, 2020

22.Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Yanbing Liu, Jianlong Tan, DistilSum: Distilling the Knowledge for Extractive Summarization, The 29th ACM International Conference on Information and Knowledge Management (CIKM), pages:2069-2072, 2020

23.Zheng Fang, Yanan Cao, Ren Li, Zhenyu Zhang, Yanbing Liu, Shi Wang, High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking, The Web Conference (WWW), pages:640-650, 2020

24.Jie Xie, Yuhai Lu, Cong Cao, Zhenzhen Li, Yangyang Guan, Yanbing Liu, Joint Entity Linking for Web Tables with Hybrid Semantic Matching, International Conference on Computational Science(ICCS), pages:618-631, 2020

25.Ruipeng Jia, Yanan Cao, Jinpeng Li, Yanbing Liu, Fang Fang and Pengfei Yin, Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder, International Joint Conference on Neural Networks (IJCNN), pages:1-8, 2020

26.Ruipeng Jia, Yanan Cao, Jinpeng Li, Yanbing Liu, Fang Fang and Pengfei Yin, Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization, International Joint Conference on Neural Networks (IJCNN), pages:1-8, 2020

27.Jingjing Guo, Jing Yu, Yuhang Lu, Yue Hu, Yanbing Liu, 2D-Convolution based Feature Fusion for Cross-Modal Information Retrieval, International Conference on Computational Science (ICCS), pages:131-144, 2019

28.Yuchen Zhou, Yanmin Shang, Yanan Cao, Yanbing Liu, Jianlong Tan, UAFA: Unsupervised Attribute-Friendship Attention Framework for User Representation, The 12th International Conference on Knowledge Science, Engineering and Management (KSEM), pages: 155-167, 2019

29.Yanmin Shang, Zhezhou Kang, Yanan Cao, Dongjie Zhang, Yang Li, Yangxi Li, Yanbing Liu, PAAE: A Unified Framework for Predicting Anchor Links with Adversarial Embedding, IEEE International Conference on Multimedia and Expo (ICME), pages:682-687, 2019

30.Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan, Attention-based LSTM for Insider Threat Detection, International Conference on Applications and Technology in Information Security (ATIS), pages:192-201, 2019

31.Zheng Fang, Yanan Cao, Qian Li, Dongjie Zhang, Zhenyu Zhang, Yanbing Liu, Joint Entity Linking with Deep Reinforcement Learning, The Web Conference (WWW), pages:438-447, 2019

32.Yuhai Lu, Yanbing Liu, Gongxin Sun, Jianlong Tan, A Memory-Efficient Multiple String Matching Algorithm Based On Charset Transformation, International Conference on Applications and Technology in Information Security (ATIS), pages:3-15, 2019

33.Jing Yu, Yuhang Lu, Zengchang Qin, Weifeng Zhang, Yanbing Liu, Jianlong Tan, Li Guo, Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval, The 2018 Pacific-Rim Conference on Multimedia(PCM), pages: 223-234, 2018

34.Yuhang Lu, Jing Yu, Yanbing Liu, Weifeng Zhang, Jianlong Tan and Li Guo, Fine-grained Correlation Learning with Stacked Co-attention Networks for Cross-modal Information Retrieval, The 11th International Conference on Knowledge Science, Engineering and Management (KSEM), pages:213-225, 2018

35.Zhezhou Kang, Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Li Guo, Hierarchical Attention Networks for User Profile Inference in Social Media Systems, The 27th International Conference on Artificial Neural Networks(ICANN), pages: 805-816, 2018

36.Fangfang Yuan, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Binxing Fang, Insider Threat Detection with Deep Neural Network, International Conference on Computational Science(ICCS), pages: 43-54, 2018

37.Wenpeng Liu, Yanan Cao, Yanbing Liu, Yue Hu, Jianlong Tan, Reinforcement Learning for Joint Extraction of Entities and Relations, The 27th International Conference on Artificial Neural Networks(ICANN), pages: : 263-272, 2018

38.Dongjie Zhang, Zheng Fang, Yanan Cao, Yanbing Liu, Xiaojun Chen, Attention-Based RNN Model for Joint Extraction of Intent and Word Slot Based on a Tagging Strategy, The 27th International Conference on Artificial Neural Networks(ICANN), pages: 178-188, 2018

39.Wenpeng Liu, Yanan Cao, Cong Cao, Yanbing Liu, Jianlong Tan and Li Guo, An Adversarial Training Framework for  Relation Classification, International Conference on Computational Science(ICCS), pages:194-205, 2018

40.Hao Xu, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo, Adversarial Reinforcement Learning for Chinese Text Summarization, International Conference on Computational Science(ICCS), pages: 519-532, 2018

41.Hao Xu, Yanan Cao, Ruipeng Jia, Yanbing Liu, Jianlong Tan, Sequence Generative Adversarial Network for Long Text Summarization, ICTAI, pages:242-248, 2018

42.Qingyue Wang, Yanjing Song, Hao Liu, Yanan Cao, Yanbing Liu, Li Guo, A Sequence Transformation Model for Chinese Named Entity Recognition, The 11th International Conference on Knowledge Science, Engineering and Management (KSEM), pages:491-502, 2018

43.Jie Xie, Cong Cao, Yanbing Liu, Yanan Cao, Baoke Li and Jianlong Tan, Column Concept Determination for Chinese Web Tables via Convolutional Neural Network, International Conference on Computational Science(ICCS), pages: 533-544, 2018

44.Yuhai Lu, Yanbing Liu, Chunyan Zhang, Jianlong Tan, A Data-Deduplication-Based Matching Mechanism for URL Filtering, 2018 IEEE International Conference on Communications (ICC), pages:1-6, 2018

45.Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo, Mining Values of User's Missing Attributes via Neural Network, The 10th International Conference on Knowledge Science, Engineering and Management (KSEM), pages:274-286, 2017

46.Jing Yu, Xiaomei Liu, Yanbing Liu, Yue Hu, Multiple Pattern Graph Correlations for Efficient Graph Pattern Matching, 14th ACS/IEEE International Conference on Computer Systems and Applications(AICCSA)-workshop, 2017

47.Yanan Cao, Shi Wang, Xiaoxue Li, Cong Cao, Yanbing Liu, Jianlong Tan, Inferring Social Network User's Interest Based on Convolutional Neural Network, ICONIP, pages: 657-666, 2017

48.Zheng Fang, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo, A Co-training Method for Identifying the Same Person Across Social Networks, 2017 IEEE GlobalSIP Symposium on Deep Learning for Intelligent Multimedia Analytics & Security, pages:1412-1416, 2017

49.Meizi Zhou, Jing Yu, Yanbing Liu, Qiong Dai, Li Guo, PatternTreeISO: A Pattern Graph Correlation Framework for Accelerating Subgraph Isomorphism over Large Graphs, ACM CIKM 2016 Workshops: the 1st workshop on Big Network Analytics (BigNet'16), 2016

50.Yu Zhang, Yanbing Liu, Jing Yu, Ping Liu, and Li Guo, VSEP: A Distributed Algorithm for Graph Edge Partitioning, 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP) Workshops: the 6th International Workshop on Trust, Security and Privacy for Big Data (TrustData 2015), pages:71-84, 2015

51.Xudong Liu, Yanbing Liu, Jian Li, Jing Yu, Jianlong Tan, A STT-Partition-based Parallel Algorithm for Pattern Matching on GPU and CPU, International Journal of Computer and Communication Engineering (IJCCE), 4(2):90-99, 2015

52.Yu Zhang, Gang Xiong, Yanbing Liu, Mengya Liu, Ping Liu, Li Guo, Delta-K2-tree for Compact Representation of Web Graphs, The 16th Asia-Pacific Web Conference (APWeb), pages:270-281, 2014

53.Yan Shao, Yanbing Liu, Jianlong Tan, Accelerating DFA Construction by Parallelizing Subset Construction, International Standard Conference on Trustworthy Computing and Services (ISCTCS), pages:16-24, 2014

54.Yanbing Liu, Qingyun Liu, Ping Liu, Jianlong Tan, Li Guo, A Factor-searching-based Multiple String Matching Algorithm for Intrusion Detection, 2014 IEEE International Conference on Communications (ICC), pages:653-658, 2014

55.Yu Zhang, PingLiu, Yanbing Liu, Aiping Li, Cuilan Du, Dongjin Fan, Attacking Pattern Matching Algorithms Based on the Gap between Average-case and Worst-case Complexity, The 5th International Conference on Communication Software and Networks (ICCSN), be published in Journal of Advances in Computer Network (JACN), 1(3):228-233, 2013

56.Lei Jiang, Jianlong Tan, Yanbing Liu, Binxing Fang, ClusterFA: A Memory-Efficient DFA Structure for Network Intrusion Detection. In Proceedings of the 7th ACM Symposium on Information, Computer and Communications Security (ASIACCS), pages:65-66, 2012

57.Shuai Niu, Yanbing Liu, Xinbo Song, Speeding Up Double-Array Trie Construction for String Matching, International Standard Conference on Trustworthy Computing and Services (ISCTCS), pages:572-579, 2012

58.Tingwen Liu, Yifu Yang, Yanbing Liu, Yong Sun, Li Guo, An Efficient Regular Expressions Compression Algorithm From A New Perspective, The 30th IEEE International Conference on Computer Communications (INFOCOM), pages:2129-2137, 2011

59.Jianlong Tan, Xia Liu, Yanbing Liu, Ping Liu, Speeding Up Pattern Matching by Optimal Partial String Extraction, IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pages:1030-1035, 2011

60.Guangming Tan, Ping Liu, Dongbo Bu, Yanbing Liu, Revisiting Multiple Pattern Matching Algorithms for Multi-Core Architecture, Journal of Computing Science and Technology (JCST), 26(5): 866-874, 2011

61.Yanbing Liu, Li Guo, Muyi Guo and Ping Liu, Accelerating DFA Construction by Hierarchical Merging, The 9th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), pages:1-6, 2011

62.Yanbing Liu, Li Guo, Ping Liu, Jianlong Tan, Compressing Regular Expressions' DFA Table by Matrix Decomposition, The 15th International Conference on Implementation and Application of Automata (CIAA), pages:282-289, 2010

63.Yanbing Liu, Distributed Hash Tables, Chapter 4 in the book Foundations of Computer Systems Research, Chief editor: Weisong Shi, Higher Education Press, 2010

64.Yanbing Liu, Yifu Yang, Ping Liu, Jianlong Tan, A Table Compression Method for Extended Aho-Corasick Automaton, The 14th International Conference on Implementation and Application of Automata (CIAA), pages:84-93, 2009

65.Jianlong Tan, Yanbing Liu, Ping Liu, Accelerating Multiple String Matching by Using Cache-efficient Strategy, The 9th International Conference on Web-Age Information Management (WAIM),pages:539-545, 2008

66.Ping Liu, Yanbing Liu, Jianlong Tan, A Partition-Based Efficient Algorithm for Large Scale Multiple-String Matching,The 12th Symposium on String Processing and Information Retrieval (SPIRE),pages:399-404, 2005

67.译著:柔性字符串匹配,电子工业出版社,ISBN:7121038587,2007,课题组成员合作翻译(原著:Flexible Pattern Matching in Strings: Practical on-line search algorithms for texts and biological sequences, Cambridge University Press, 2002)

发明专利

授权发明专利:

1. 张春燕,刘燕兵,卢毓海,谭建龙,郭莉,一种基于Warshall方法加速epsilon闭包计算的方法及系统,申请号:202010412343.4(授权日期:2023.10.17)

2. 张春燕,刘燕兵,卢毓海,谭建龙,郭莉,一种基于图搜素方法加速epsilon闭包计算的方法及系统,申请号:202010412344.9(授权日期:2023.10.13)

3.马伟,张啸梁,姜竣严,刘燕兵,一种基于5G移动网络流量分析的应用识别方法和系统,申请号:202110494589.5(授权日期:2023.01.13)

4.袁方方,田腾,刘燕兵,卢毓海,曹聪,谭建龙,一种基于深度强化学习的恶意域名检测方法和装置,申请号:202111158750.8(授权日期:2023.04.07)

5.袁方方,刘燕兵,尚燕敏,曹亚男,谭建龙,郭莉,一种基于门控循环单元的内部威胁检测方法和装置,专利号:202110588732.7(授权日期:2022.09.27)

6.曹亚男,李晓雪,尚燕敏,刘燕兵,谭建龙,一种基于卷积神经网络的用户属性推断方法和装置,申请号:201810124041.X(授权日期:2022.06.17)

7.曹亚男,徐灏,尚燕敏,刘燕兵,谭建龙,郭莉,一种用于生成式摘要的评估方法及排序网络,申请号:201910764862.4(授权日期:2022.06.17)

8.曹亚男,徐灏,尚燕敏,刘燕兵,谭建龙,郭莉,一种基于图文融合的生成式摘要生成方法,申请号:201910764261.3(授权日期:2022.05.31)

9.刘燕兵,王歧,卢毓海,张春燕,袁方方,谭建龙,郭莉,一种针对Gzip压缩数据的过滤方法及系统,申请号:201711070628.9(授权日期:2022.05.17)

10.于静,郭晶晶,刘燕兵,曹聪,谭建龙,郭莉,一种基于力导引算法的图数据可视化布局优化方法,申请号:201710992552.9(授权日期:2021.10.08)

11.袁方方,刘燕兵,曹聪,卢毓海,张春燕,谭建龙,郭莉,一种串匹配场景下随机模式串集合生成方法、设备和可读存储介质,专利号:201711103789.3(授权日期:2021.09.28)

12.卢毓海,王翔,刘燕兵,谭建龙,郭莉,一种从正则表达式中抽取最长精确子串的方法,专利号:201910116717.5(授权日期:2021.07.23)

13.于静,唐钰葆,刘小梅,刘燕兵,曹聪,谭建龙,郭莉,一种面向弱结构相关性的多模式图索引构建方法及系统,专利号:201811466997.4(授权日期:2021.06.04)

14.张春燕,刘燕兵,曹聪,卢毓海,袁方方,谭建龙,郭莉,数字查找树的压缩表示方法、系统、存储介质及规则匹配装置,专利号:201810119184.1(授权日期:2021.05.07)

15.马伟,鲁睿,刘燕兵,杜翠兰,杨博,柳毅,易立,李睿,李赫男,施慧,一种空间互联网管控方法及系统,专利号:201711294213.X(授权日期:2021.05.18)

16.于静,郭晶晶,刘小梅,刘燕兵,曹聪,谭建龙,郭莉,一种面向多模式图匹配的并行加速方法,专利号:201811228936.4(授权日期:2021.06.04)

17.曹亚男,徐灏,尚燕敏,刘燕兵,谭建龙,郭莉,一种基于生成对抗网络的中文摘要生成方法和装置,申请号:201810765723.9(授权日期:2021.03.30)

18.孙恭鑫,卢毓海,刘燕兵,张春燕,谭建龙,郭莉,基于字符集变换的自动机空间压缩方法及系统,专利号:201910505421.2(授权日期:2020.12.04)

19.孙恭鑫,卢毓海,刘燕兵,张春燕,谭建龙,郭莉,用于自动机空间压缩的线性同余字符集变换方法及系统,专利号:201910505446.2(授权日期:2020.12.04)

20.马伟,鲁睿,刘燕兵,杜翠兰,杨博,柳毅,易立,李睿,李赫男,施慧,卫星互联网中不良用户的检测方法及系统,专利号:201711259304.X(授权日期:2020.11.06)

21.刘燕兵,袁方方,曹聪,卢毓海,张春燕,谭建龙,郭莉,一种串匹配场景下数据集生成方法、设备和可读存储介质,专利号:201710589808.1(授权日期:2021.02.02)

22.刘燕兵,卢毓海,王歧,张春燕,谭建龙,郭莉,一种并行的数据差分方法,专利号:201710121255.7(授权日期:2020.05.22)

23.卢毓海,张春燕,刘燕兵,谭建龙,郭莉,URL匹配方法、URL匹配设备及存储介质,专利号:2017104510435(授权日期:2020.01.17)

24.刘燕兵,卢毓海,张春燕,张萍,谭建龙,郭莉,一种基于位图的布尔表达式存储、匹配方法及系统,专利号:201610811459.9(授权日期:2019.11.19)

25.刘燕兵,张春燕,卢毓海,谭建龙,郭莉,一种高效的静态哈希表实现方法及系统,申请号:201610793354.5(授权日期:2019.12.27)

26.张萍,刘燕兵,谭建龙,郭莉,一种空间高效的多模式串匹配方法和系统,申请号:201510236364.4(授权日期:2019.03.22)

27.张春燕,张宇,刘燕兵,谭建龙,郭莉,一种对稀疏矩阵进行压缩和查询的方法及系统,专利号:201510152316.7(授权日期:2018.08.21)

28.张宇,刘萍,刘燕兵,郭莉,陈训逊,李楠宁,薛晨,一种对WuManber算法进行测试的方法和系统,专利号:201110161094.7(授权日期:2014.11.19)

29.刘燕兵,何慧敏,刘萍,谭建龙,郭莉,确定自动机状态转换表的空间压缩方法,专利号:201010226250.9(授权日期:2012.07.11)

30.杨毅夫,刘燕兵,刘萍,郭莉,一种有效的对确定自动机空间进行压缩的方法,专利号:200910090556.3(授权日期:2012.01.25)

31.谭建龙,刘燕兵,刘萍,郭莉,一种关键词匹配方法和系统,专利号:200710175751.7(授权日期:2009.08.19)

受理发明专利:

32.袁方方,徐阳焰,马伟,刘燕兵,张啸梁,曹聪,一种基于助教的动态目标对齐的数据高效知识蒸馏方法和系统,申请号:202410024764.8(申请日期:2024.01.08)

33.曹聪,付煜,马伟,刘燕兵,袁方方,王大魁,一种基于多层次对齐的视频问答方法和系统,申请号:202311647986.7(申请日期:2023.12.04)

34.刘燕兵,李保珂,曹聪,袁方方,王大魁,张啸梁,一种基于混合内存的自适应图计算更新方法及系统,申请号:202311197360.0(申请日期:2023.09.15)

35.曹聪,冯佳丽,曹亚男,袁方方,李保珂,卢毓海,刘燕兵,一种基于提示学习的半结构化网页属性值抽取方法、电子设备和存储介质,PCT申请号:PCT/CN2023/099808,(申请日期:2023.06.13)

36.袁方方,李志平,曹亚男,张春燕,卢毓海,曹聪,刘燕兵,基于异质图鲁棒对抗学习的恶意域名检测方法和装置,申请号:202310469493.2(申请日期:2023.04.27)

37.袁方方,李志平,曹亚男,张啸梁,卢毓海,曹聪,刘燕兵,基于异质图自监督学习的恶意域名检测方法及装置,申请号:202310469489.6(申请日期:2023.04.27)

38.曹聪,冯佳丽,曹亚男,袁方方,李保珂,卢毓海,刘燕兵,一种基于提示学习的半结构化网页属性值抽取方法、电子设备和存储介质,申请号:202310462355.1(申请日期:2023.04.26)

39.曹聪,郭点点,袁方方,张啸粱,卢毓海,刘燕兵,谭建龙,一种融合图结构信息的知识图谱推理方法,申请号:202310373927.9(申请日期:2023.04.10)

40.刘燕兵,徐阳焰,袁方方,苏马婧,卢毓海,曹聪,一种基于核对齐推理的对比自蒸馏BERT加速方法及装置,申请号:202310312449.0(申请日期:2023.03.28)

41.刘燕兵,徐阳焰,袁方方,张啸梁,苏马婧,王大魁,曹聪,基于协同元学习的推理加速方法及装置,申请号:202310312448.6(申请日期:2023.03.28)

42.曹聪,王志平,袁方方,张春燕,卢毓海,刘燕兵,谭建龙,一种基于多粒度情感的对话推荐方法及系统,申请号:202211175448.8(申请日期:2022.09.26)

43.卢毓海,王晓琳,曹聪,袁方方,张春燕,刘燕兵,面向相似文本的正则表达式自动生成方法、系统及介质,申请号:202211065691.4(申请日期:2022.09.01)

44.刘燕兵,夏辉,袁方方,张啸梁,曹聪,卢毓海,谭建龙,一种基于稠密子图的图压缩方法和系统,申请号:202210926540.7(申请日期:2022.08.03)

45.刘燕兵,夏辉,袁方方,张春燕,曹聪,卢毓海,谭建龙,一种稠密子图抽取方法和系统,申请号:202210927391.6(申请日期:2022.08.03)

46.袁方方,胡成,刘燕兵,曹聪,卢毓海,肖奎,谭建龙,一种基于异质图传播网络的恶意域名检测方法和系统,申请号:202210921613.3(申请日期:2022.08.02)

47.袁方方,田腾,刘燕兵,曹聪,张春燕,谭建龙,郭莉,一种基于深度支持向量数据描述的DGA域名检测方法及系统,申请号:202210253611.1(申请日期:2022.03.15)

48.戴琼,彭怀梁,郝炜,白旭,刘燕兵,童超东,一种数据标准化智能处理方法及装置,申请号:202210060268.9(申请日期:2022.01.19)

49.戴琼,彭怀梁,郝炜,刘燕兵,一种多源异构数据智能分拣方法及装置,申请号:202111319629.9(申请日期:2021.11.09)

50.卢毓海,王晓琳,张春燕,刘燕兵,谭建龙,郭莉,一种状态爆炸型正则表达式的识别方法及系统,申请号:202110784458.0(申请日期:2021.07.12)

51.唐钰葆,于静,曹聪,刘燕兵,谭建龙,郭莉,一种基于图卷积神经网络的文本分类方法及系统,申请号:201911064089.7(申请日期:2019.11.04)

52.曹聪,张路,刘燕兵,曹亚男,谭建龙,郭莉,一种基于支持向量机的面向智能专家推荐的用户画像方法,申请号:201910129637.3(申请日期:2019.02. 21)

53.曹聪,张路,刘燕兵,曹亚男,谭建龙,郭莉,一种基于卷积神经网络的面向智能专家推荐的用户画像方法,申请号:201910121716.X(申请日期:2019.02.19)

软件著作权登记

1.袁方方,田腾,李志平,曹聪,刘燕兵,恶意域名检测系统,软著登记号:2022SR0655261

2.曹聪,谢晓明,李保珂,张路,曹亚男,刘燕兵,学术专家知识图谱自动构建与分析系统,软著登记号:2021SR0126287

3.孙恭鑫,夏辉,曹聪,刘燕兵,图数据快速查询与可视化系统,软著登记号:2021SR0153522

4.卢毓海,刘燕兵,张春燕,谭建龙,郭莉,基于GPU加速的Word文档内容分析系统,软著登记号:2019SR1110522

5.卢毓海,于跃,刘燕兵,谭建龙,郭莉,基于GPU加速的PDF密码破解软件,软著登记号:2016SR070325

6.李勇刚,刘燕兵,谭建龙,郭莉,基于GPU加速的RAR密码破解软件,软著登记号:2016SR255840

7.网络信息过滤引擎工具软件简称 KNIFE,软著登记号:2008SR16984

8.正则表达式随机测试数据生成软件,软著登记号:2009SR02395


科研项目

1.某信息化建设工程,起止日期:2022.2-2024.2,角色:技术副总师

2.国家重点研发计划项目,起止日期:2018.2-2021.7,角色:项目负责人

3.重大工程项目:网络流量处理平台,起止日期:2016.1-2020.2,角色:技术副总师

4.中科院先导专项项目,起止日期:2019.1-2023.12,角色:项目总体组成员

5.中科院先导专项课题,起止日期:2012.1-2016.12,角色:课题骨干

6.新疆科技厅重点研发计划课题,起止日期:2022.6-2024.5,角色:课题负责人

7.企业委托合同:高性能模式匹配技术,项目编号:TC20210722006,起止日期:2021.9-2022.8,角色:项目负责人

8.北京市科委项目子课题:信息内容文本匹配,起止日期:2018.8-2020.2,角色:子课题负责人

9.新疆科技厅重大专项课题,起止日期:2017.6-2020.5,角色:课题骨干

10.新疆科技厅重大专项课题,起止日期:2012.10-2015.9,角色:课题骨干

11.国家自然科学基金青年基金项目:复杂规则实时检测的模型和算法研究,课题号:61202477,起止日期:2013.1-2015.12,角色:负责人