Delay-Oriented Scheduling in 5G Downlink Wireless Networks Based on Reinforcement Learning With Partial Observations. - Yijun Hao; Fang Li; Cong Zhao 001; Shusen Yang (IEEE/ACM Trans. Netw., 2023)

EdgeTimer: Adaptive Multi-Timescale Scheduling in Mobile Edge Computing with Deep Reinforcement Learning. - Yijun Hao; Shusen Yang; Fang Li; Yifan Zhang; Shibo Wang 002; Xuebin Ren (INFOCOM, 2024)

T³Planner: Multi-Phase Planning Across Structure-Constrained Optical, IP, and Routing Topologies. - Yijun Hao; Shusen Yang; Fang Li; Yifan Zhang; Cong Zhao 001; Xuebin Ren; Peng Zhao 001; Chenren Xu; Shibo Wang 002 (IEEE J. Sel. Areas Commun., 2025)

Learning Adaptive Multi-Timescale Scheduling for Mobile Edge Computing. - Yijun Hao; Shusen Yang; Fang Li; Yifan Zhang; Shibo Wang 002; Xuebin Ren (IEEE Trans. Mob. Comput., 2025)

OACR$^{2}$2: Online Admission Control and Resource Reservation for 5G Slice Networks With Deep Reinforcement Learning. - Fang Li; Yijun Hao; Shusen Yang; Peng Zhao 001 (IEEE Trans. Mob. Comput., 2025)