RL-Based User Association and Resource Allocation for Multi-UAV enabled MEC. - Liang Wang 038; Peiqiu Huang; Kezhi Wang; Guopeng Zhang; Lei Zhang 035; Nauman Aslam; Kun Yang 001 (IWCMC, 2019)

A Reinforcement Learning based Path Guidance Scheme for Long-range Autonomous Valet Parking in Smart Cities. - Muhammad Khalid; Nauman Aslam; Liang Wang 038 (COMNET, 2020)

Deep Q-Network Based Dynamic Trajectory Design for UAV-Aided Emergency Communications. - Liang Wang 038; Kezhi Wang; Cunhua Pan; Xiaomin Chen; Nauman Aslam (J. Commun. Inf. Networks, 2020)

Learning-Based Path Planning for Long-Range Autonomous Valet Parking. - Muhammad Khalid; Liang Wang 038; Kezhi Wang; Cunhua Pan; Nauman Aslam; Yue Cao 002 (CoRR, 2021)

Long-Term CSI-based Design for RIS-Aided Multiuser MISO Systems Exploiting Deep Reinforcement Learning. - Hong Ren; Cunhua Pan; Liang Wang 038; Zhoubing Kou; Kezhi Wang (CoRR, 2021)

Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing. - Liang Wang 038; Kezhi Wang; Cunhua Pan; Wei Xu 001; Nauman Aslam; Lajos Hanzo (IEEE Trans. Cogn. Commun. Netw., 2021)

Unmanned aerial vehicle-enabled mobile edge computing for 5G and beyond. - Liang Wang 038 (2021)

Secret Key Rate Upper-bound for Reconfigurable Intelligent Surface-combined System under Spoofing. - Zhuangkun Wei; Liang Wang 038; Weisi Guo (VTC Fall, 2022)

Long-Term CSI-Based Design for RIS-Aided Multiuser MISO Systems Exploiting Deep Reinforcement Learning. - Hong Ren; Cunhua Pan; Liang Wang 038; Wang Liu; Zhoubing Kou; Kezhi Wang (IEEE Commun. Lett., 2022)

Graph Layer Security: Encrypting Information via Common Networked Physics. - Zhuangkun Wei; Liang Wang 038; Schyler Chengyao Sun; Bin Li 002; Weisi Guo (Sensors, 2022)

Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-Assisted Mobile Edge Computing. - Liang Wang 038; Kezhi Wang; Cunhua Pan; Wei Xu 001; Nauman Aslam; Arumugam Nallanathan (IEEE Trans. Mob. Comput., 2022)

Deep Reinforcement Learning-Based Resource Management for Flexible Mobile Edge Computing: Architectures, Applications, and Research Issues. - Kezhi Wang; Liang Wang 038; Cunhua Pan; Hong Ren (IEEE Veh. Technol. Mag., 2022)

Securing IoT Communication using Physical Sensor Data - Graph Layer Security with Federated Multi-Agent Deep Reinforcement Learning. - Liang Wang 038; Zhuangkun Wei; Weisi Guo (CoRR, 2023)

Joint Trajectory and Passive Beamforming Design for Intelligent Reflecting Surface-Aided UAV Communications: A Deep Reinforcement Learning Approach. - Liang Wang 038; Kezhi Wang; Cunhua Pan; Nauman Aslam (IEEE Trans. Mob. Comput., 2023)

Multi-agent Deep Reinforcement Learning-based Key Generation for Graph Layer Security. - Liang Wang 038; Zhuangkun Wei; Weisi Guo (ACM Trans. Priv. Secur., 2025)