Ding Li (李 丁)

Ding Li received his Ph.D. degree in Computer Science from Nanjing University in 2023. Now he is an assistant professor in School of Computer Science and Information Engineering, Hubei University. He leads Graduate Workstation of Wuhan Maritime Communication Research Institute, Hubei University.

Research Area: Graph anomaly detection, Graph sketch, Sketch, Encrypted traffic classification, Deep learning

Email: liding@hubu.edu.cn

Last update: Oct, 2024

Teaching

• Deep Learning (2024 Fall)
• Artificial Intelligence and Its Applications (2024 Spring)
• Artificial Intelligence Experiments (2024 Spring)

Project (as Principle Investigator)

Research Paper

• Ding Li, Wenzhong Li, Guoqiang Zhang, Yizhou Chen, Xu Zhong, Mingkai Lin, and Sanglu Lu. Dichotomy Graph Sketch: Summarizing Graph Streams with High Accuracy Based on Deep Learning. In Applied Sciences-Basel, 2023; 13(24):13306. PDF Download
• Ding Li, Wenzhong Li, Yizhou Chen, Xu Zhong, Mingkai Lin, and Sanglu Lu. Learning-based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy. In KSEM'23: The 16th International Conference on Knowledge Science, Engineering and Management, Guangzhou, China, August 16-18, 2023. Best Student Paper Runner Up Award. PDF Download
• Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li, Sanglu Lu. Multi-Domain Generalized Graph Meta Learning. In AAAI'23: The 37th AAAI Conference on Artificial Intelligence, Washington, USA, Feb 7-14, 2023.
• Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, and Sanglu Lu. Resource-Efficient Training for Large Graph Convolutional Networks with Label-Centric Cumulative Sampling. In WWW'22: The ACM Web Conference 2022, Online, April 25-29, 2022.
• Ding Li, Wenzhong Li, Yizhou Chen, Mingkai Lin, and Sanglu Lu. Learning-based Dynamic Graph Stream Sketch. In PAKDD'21: The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Online, May 11-14, 2021. PDF Download
• Ding Li, Wenzhong Li, Xiaoliang Wang, Cam-Tu Nguyen, and Sanglu Lu. App Trajectory Recognition over Encrypted Internet Traffic based on Deep Neural Network. In Computer Networks, 2020; 179:107372. PDF Download
• Ding Li, Wenzhong Li, Xiaoliang Wang, Cam-Tu Nguyen, and Sanglu Lu. ActiveTracker: Uncovering the Trajectory of App Activities over Encrypted Internet Traffic Streams. In SECON'19: The 16th IEEE International Conference on Sensing, Communication, and Networking, Boston, Massachusetts, USA, June 10-13, 2019. PDF Download

Education

People

• Graduate students: 陆中意, 谢如玉, 郭艳星
• Undergraduate students: 陈雅宁, 尹湘, 余思彤, 刘坤, 张其凌, 刘衍崧, 熊本强

Social Service

• Staff in Cyber Security Professional for Education Industry (ECSP-T, Hubei), Yichang, China, Nov 7-10, 2023.
• Reviewer for Journal of Social Computing, Oct, 2023.