Mingjie Ding

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 6

Top Topics

Optimization Method

Reinforcement Learning

Nelder Mead Simplex

Top Venues

J. Netw. Comput. Appl.

Future Gener. Comput. Syst.

Publications

Yingya Guo, Mingjie Ding, Weihong Zhou, Bin Lin, Cen Chen, Huan Luo
MATE: A multi-agent reinforcement learning approach for Traffic Engineering in Hybrid Software Defined Networks. J. Netw. Comput. Appl. 231 (2024)
Mingjie Ding, Yingya Guo, Zebo Huang, Bin Lin, Huan Luo
GROM: A generalized routing optimization method with graph neural network and deep reinforcement learning. J. Netw. Comput. Appl. 229 (2024)
Bin Lin, Yingya Guo, Huan Luo, Mingjie Ding
TITE: A transformer-based deep reinforcement learning approach for traffic engineering in hybrid SDN with dynamic traffic. Future Gener. Comput. Syst. 161 (2024)
Wanxiao Xu, Mingjie Ding
Relevance analysis of social equity and urbanization based on fuzzy logic and factor analysis model. J. Intell. Fuzzy Syst. 37 (5) (2019)
Ruihui Zhao, Mingjie Ding, Kei'ichi Koyanagi, Yuanliang Sun, Liang Zhou
A Privacy-preserving Community-based P2P OSNs Using Broadcast Encryption Supporting Recommendation Mechanism. CoRR (2017)
Mingjie Ding, Ruihui Zhao, Kei'ichi Koyanagi, Takeshi Tsuchiya, Hiroaki Sawano
A Community-based P2P OSNs using broadcast encryption supporting cross-platform with high-security. WCSP (2016)
Mingjie Ding, Neisei Hayashi, Yosuke Mizuno, Kentaro Nakamura
Brillouin signal amplification in pumped erbium-doped optical fiber. IEICE Electron. Express 11 (18) (2014)