I am currently a PhD candidate supervised by Prof. Weiming Zhang and Associate Prof. Yun Zhou and Associate Prof. Zhaoyun Ding in c2-group of the System Engineering School, National University of Defense Technology, China. Prior to that, I obtained my master degree from Shandong University in June 2018, working with Prof. Jianfeng Li and Prof. Jie Sun. I completed my undergraduate study in the School of Mechanical Engineering, Sichuan University. I will do my research under the supervision of Prof. François Bry at the Institute for Informatics at the Ludwig-Maximilian University Munich as a visiting doctoral researcher from June 2021 to June 2023.

I am interested in the overlap of Natural Language Processing (NLP) and Cybersecurity, which includes Information Extraction of Cybersecurity Data, Cybersecurity Knowledge Graph, Users’ Behavior Analysis in Cyberspace, Deep Transfer Learning, Few-shot Learning in NLP and Causal Inference. Specifically, my recent research concerns on the construction and completion of Cybersecurity Knowledge Graph—based on information extraction from multi-source heterogeneous text data of web with the support of structured prior knowledge, and on utilizing Cybersecurity Knowledge Graph for malware comparison with the method of subgraph matching, and for knowledge reasoning with DNN.

Research Interests

(1) Information Extraction of Cybersecurity Data
(2) Cybersecurity Knowledge Graph
(3) Users’ Behavior Analysis in Cyberspace
(4) Deep Transfer Learning
(5) Few-shot Learning in NLP.
(6) Causal Inference.

News

1. 2022-12-10

   , This is my new paper: Fei Wang, Kai Liu, Zhaoyun Ding, Bin Liu, Yu Zhao. Ontology-Based APT Attack Detection and Defense Countermeasures[C]. 2022 International Conference on High Performance Big Data and Intelligent Systems (HDIS), Tianjin, China, 2022, pp. 27-33, doi: 10.1109/HDIS56859.2022.9991678. (EI, IEEE, CCF C)

2. 2022-10-13

   , This is my new paper: Zhengfei Yu, Hao Zuo, Lin Wang, Hao Yang, Kai Liu, Yun Zhou, Weiming Zhang. Ts-Gad: Two Stage Graph Anomaly Detection Approach Based on Graph Auto-Encoder[J]. Available at SSRN 4263883. (SCI)

3. 2022-7-22

   , This is my new paper: Liu K , Wang F, Ding Z, Liang S, Yu Z, Zhou Y. Recent Progress of Using Knowledge Graph for Cybersecurity. Electronics. 2022; 11(15):2287. https://doi.org/10.3390/electronics11152287 (SCIE, IF 2.690, Q2, also accepted by CCF NCCA 2022)

4. 2021-10-20

   , This is my new paper: Ding Z, Liu L, Yu D, Huang S, Zhang H, Liu K. Detection of Anomaly User Behaviors Based on Deep Neural Networks[C]. 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2021: 1240-1245.(EI, CCF C)

5. 2021-6-1

   , This is my new paper: Zhaoyun Ding, Kai Liu, Wenhao Wang, and Bin Liu. A Semantic Textual Similarity Calculation Model Based on Pre-training Model.[C]. The 14th International Conference on Knowledge Science, Engineering and Management (KSEM 2021). Springer, Cham, 2021: 3-15.(EI, CCF C)

6. 2021-6-1

   , This is my New Paper online: Zhaoyun Ding, Kai Liu, Bin Liu, Xixi Zhu. Survey of cyber security knowledge graph[J]. J. Huazhong Univ．of Sci．& Tech．(Natural Science Edition).49(07):79-91.[2021-07]. (EI)

7. I got a National Invention Patents of China at 2021-1-15: Zhaoyun Ding, Kai Liu, Yongqi Pan, Weiming Zhang, Yun Zhou, etc. Cybersecurity knowledge extraction method and device based on one shot learning. Patent No.: ZL20202202872.0

For more info

More info about my research can be found in My GitHub Page and My WeChat：lkauto