Differentiated Transmission based on Traffic Classification with Deep Learning in DataCenter. - Keke Zhu; Gengbiao Shen; Yong Jiang 001; Jianhui Lv; Qing Li 006; Mingwei Xu (Networking, 2020)

LAFS: Learning-Based Application-Agnostic Flow Scheduling for Datacenters. - Feixue Han; Qing Li 006; Keke Zhu; Jianer Zhou; Yong Jiang 001; Zhuyun Qi; Fuliang Li (IPCCC, 2021)

The Application Landscape and Research Status of Artificial Intelligence in Language Learning: A Visual Analysis. - Xiaojiao Chen; Keke Zhu; Yuhui Jing; Chengliang Wang 001 (ICETC, 2023)

DiffTREAT: Differentiated Traffic Scheduling Based on RNN in Data Centers. - Ziqi Wei 004; Qing Li 006; Keke Zhu; Jianer Zhou; Longhao Zou; Yong Jiang 001; Xi Xiao (IEEE Trans. Cloud Comput., 2023)

Reversible data hiding of color image based on channel unity embedding. - Ningxiong Mao; Hongjie He; Fan Chen 003; Keke Zhu (Appl. Intell., 2023)

A DRL-Based Edge Intelligent Servo Control with Semi-closed-Loop Feedbacks in Industrial IoT. - Hao Zheng; Haifeng Zhu; Hao Wu; Changyan Yi; Keke Zhu; Xingan Dai (WASA (2), 2024)

Understanding the Continuance Intention of College Students toward New E-Learning Spaces Based on an Integrated Model of the TAM and TTF. - Chengliang Wang 001; Jian Dai 001; Keke Zhu; Teng Yu; Xiaoqing Gu (Int. J. Hum. Comput. Interact., 2024)

Transcoding-Enabled Edge Caching Strategy Optimization: A Dual-Timescale Meta-Learning-Based Stackelberg Game Approach. - Dan Wang 002; Keke Zhu; Bin Song 001; F. Richard Yu (IEEE Internet Things J., 2025)