Brillouin signal amplification in pumped erbium-doped optical fiber. - Mingjie Ding; Neisei Hayashi; Yosuke Mizuno; Kentaro Nakamura (IEICE Electron. Express, 2014)

A Community-based P2P OSNs using broadcast encryption supporting cross-platform with high-security. - Mingjie Ding; Ruihui Zhao; Kei'ichi Koyanagi; Takeshi Tsuchiya; Hiroaki Sawano (WCSP, 2016)

A Privacy-preserving Community-based P2P OSNs Using Broadcast Encryption Supporting Recommendation Mechanism. - Ruihui Zhao; Mingjie Ding; Kei'ichi Koyanagi; Yuanliang Sun; Liang Zhou (CoRR, 2017)

Relevance analysis of social equity and urbanization based on fuzzy logic and factor analysis model. - Wanxiao Xu; Mingjie Ding (J. Intell. Fuzzy Syst., 2019)

TITE: A transformer-based deep reinforcement learning approach for traffic engineering in hybrid SDN with dynamic traffic. - Bin Lin; Yingya Guo; Huan Luo 001; Mingjie Ding (Future Gener. Comput. Syst., 2024)

GROM: A generalized routing optimization method with graph neural network and deep reinforcement learning. - Mingjie Ding; Yingya Guo; Zebo Huang; Bin Lin; Huan Luo 001 (J. Netw. Comput. Appl., 2024)

MATE: A multi-agent reinforcement learning approach for Traffic Engineering in Hybrid Software Defined Networks. - Yingya Guo; Mingjie Ding; Weihong Zhou; Bin Lin; Cen Chen; Huan Luo 001 (J. Netw. Comput. Appl., 2024)

PROM: A persistent routing optimization method based on supervised learning. - Yingya Guo; Zebo Huang; Mingjie Ding; Bin Lin; Huan Luo 001 (J. Netw. Comput. Appl., 2025)