李 丁
基本信息
李丁,男,2023 年于南京大学取得计算机科学与技术博士学位,现任湖北大学计算机与信息工程学院讲师。
个人主页:https://liding320.github.io/ (持续更新)
研究方向: Graph anomaly detection, Graph sketch, Sketch, Encrypted traffic classification,Deep learning
邮箱:liding@hubu.edu.cn
教育背景
2018.9 - 2023.9 南京大学 计算机科学与技术 博士
2014.9 - 2016.12 美国加利福尼亚大学圣克鲁斯分校 计算机科学 硕士
2010.9 - 2014.6 北京邮电大学 计算机科学与技术 学士
主持项目
2023.10 - 2024.12 某收信处理设备主控软件 横向
2023.10 - 2024.11 遥控终端软件 横向
2023.10 - 2024.8 线上培训系统 横向
学术论文
1.Ding Li, Wenzhong Li, Guoqiang Zhang, Yizhou Chen, Xu Zhong, MingkaiLin, and Sanglu Lu. Dichotomy Graph Sketch: Summarizing Graph Streams with High Accuracy Based on Deep Learning. In Applied Sciences-Basel, 2023; 13(24):13306.
2.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. InKSEM'23: The 16th International Conference on Knowledge Science, Engineering and Management, Guangzhou, China, August 16-18, 2023.
3.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.
4.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.
5.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.
6.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.
7.Ding Li, Wenzhong Li, Xiaoliang Wang, Cam-Tu Nguyen, and Sanglu Lu. ActiveTracker: Uncovering the Trajectory of App Activities over Encrypted Internet Traffic Streams. InSECON'19: The 16th IEEE International Conference on Sensing, Communication, and Networking, Boston, Massachusetts, USA, June 10-13, 2019.