Peer to Peer Anti-Money Laundering Resource Allocation Based on Semi-Markov Decision Process. - Xintao Hong; Hongbin Liang; Lin X. Cai; Zengan Gao; Limin Sun (GLOBECOM, 2015)

Adaptive Resource Allocation for Anti-money Laundering Based on SMDP. - Xintao Hong; Hongbin Liang; Zengan Gao (WASA, 2015)

An adaptive resource allocation model in anti-money laundering system. - Xintao Hong; Hongbin Liang; Zengan Gao; Hongwei Li 001 (Peer-to-Peer Netw. Appl., 2017)

Reinforcement Learning Enabled Dynamic Resource Allocation in the Internet of Vehicles. - Hongbin Liang; Xiaohui Zhang; Xintao Hong; Zongyuan Zhang; Mushu Li; Guang-Di Hu; Fen Hou (IEEE Trans. Ind. Informatics, 2021)

A Dynamic Resource Allocation Model Based on SMDP and DRL Algorithm for Truck Platoon in Vehicle Network. - Hongbin Liang; Shuya Zhou; Xiaobo Liu 002; Fangfang Zheng; Xintao Hong; Xuemei Zhou; Lian Zhao (IEEE Internet Things J., 2022)

DRL-Based Resource Allocation Game With Influence of Review Information for Vehicular Edge Computing Systems. - Han Zhang; Hongbin Liang; Xintao Hong; Yiting Yao; Bin Lin 001; Dongmei Zhao (IEEE Trans. Veh. Technol., 2024)

Enhanced DRL Strategy for Distributed Edge Computing in Vehicular Networks. - Xintao Hong; Hongbin Liang; Han Zhang; Xiaohu Tang; Lian Zhao (IEEE Netw., 2025)

Joint Task Partitioning and Resource Allocation in RAV-Enabled Vehicular Edge Computing Based on Deep Reinforcement Learning. - Hongbin Liang; Han Zhang; Laha Ale; Xintao Hong; Lei Wang 223; Qiong Jia; Dongmei Zhao (IEEE Internet Things J., 2025)