近期论文
查看导师最新文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
1. 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), 2020(accepted)
2. 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), 2020(accepted)
3. 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), 2020(accepted)
4. 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), 2020(accepted)
5. 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
6. 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), 2019(accepted)
7. 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
8. 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
9. 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
10. 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
11. 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
12. 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
13. 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
14. 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
15. 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
16. 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
17. 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
18. 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
19. 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
20. 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
21. 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
22. Hao Xu, Yanan Cao, Ruipeng Jia, Yanbing Liu, Jianlong Tan, Sequence Generative Adversarial Network for Long Text Summarization, ICTAI, pages:242-248, 2018
23. Qingyue Wang, Yanjing Song, Hao Liu, Yanan Cao, Yanbing Liu, Li Guo, A Sequence Transformation Model for Chinese Named Entity Recognition, KSEM, pages:491-502, 2018
24. 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
25. 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
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. 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
34. 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
35. 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
36. 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
37. 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
38. 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
39. 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
40. Yanbing Liu, Distributed Hash Tables, Chapter 4 in the book Foundations of Computer Systems Research, Chief editor: Weisong Shi, Higher Education Press, 2010
41. 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
42. 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
43. 李高超，李犇，卢毓海，刘梦雅，刘燕兵，基于二级索引结构的图压缩算法，通信学报，2018(6):109-115，2018
44. 刘梦雅，刘燕兵，于静，郭莉，孙志刚，图数据分析系统计算模型综述，计算机应用研究，34 (11):3204-3213，2017
45. 张萍，何慧敏，张春燕，曹聪，刘燕兵，谭建龙，FilterFA：一种基于字符集规约的模式串匹配算法，通信学报，37(12):103-114，2016
46. 张萍，谭建龙，刘燕兵，郭莉，HashTrie：一种空间高效的多模式串匹配算法，通信学报，36(10):172-180，2015
47. 熊刚，何慧敏，于静，刘燕兵，郭莉，HybridFA: 一种基于统计的AC自动机空间优化技术，通信学报，36(7):31-39，2015
48. 于静，刘燕兵，张宇，刘梦雅，谭建龙，郭莉，大规模图数据匹配技术综述，计算机研究与发展，52(2):391-409，2015
49. 张宇，刘燕兵，熊刚，贾焰，刘萍，郭莉，图数据表示与压缩技术综述，软件学报，25(9):1938-1952，2014
50. 刘燕兵，邵妍，王勇，刘庆云，郭莉，一种面向大规模URL过滤的多模式串匹配算法，计算机学报，37(5):1159-1169，2014
51. 张宇，刘萍，刘燕兵，谭建龙，郭莉，WuManber算法的复杂度攻击，计算机研究与发展，48(8):1381-1389，2011
52. 刘燕兵，刘萍，谭建龙，郭莉，基于存储优化的多模式串匹配算法，计算机研究与发展，46(10):1768-1776，2009
53. 郭莉，谭建龙，刘萍，刘燕兵，面向信息内容安全的串匹配技术，信息技术快报，6(5):1-24，2008
54. 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）
京公网安备 11010802027423号