空天地一体化网络、移动人工智能、边缘计算与缓存是第六代移动通信（6G）的重要研究方向。在这些方向，以第一作者身份发表SCI-Q1区期刊论文10篇（其中2篇入选ESI全球前1%高被引论文，1篇入选ESI研究前沿核心论文），以第一作者身份发表EI国际会议论文7篇，申请国家发明专利两项（已授权1项），谷歌学术引用800余次，单篇最高SCI他引200余次。
Binqiang Chen, Dong Liu*, Jianlong Zhang, and Lajos Hanzo, “Learning-Aided UAV-Cooperation Reduces the Age-of-Information in Wireless Networks,” IEEE Communications Letter, early access, 2024.
Siyang Tan, Binqiang Chen, Dong Liu*, Jianlong Zhang, and Lajos Hanzo, “Communication-assisted multi-Agent Reinforcement Learning Improves Task-Offloading in UAV-Aided Edge-Computing Networks,” IEEE Wireless Communications Letter, vol 12, no. 12, Dec. 2023.
Dong Liu, Jiankang Zhang, Jingjing Cui, Robert Maunder, Soon-Xin Ng, and Lajos Hanzo, “Deep Learning Aided Routing for Space-Air-Ground Integrated Networks Relying on Real Satellite, Flight, and Shipping Data,” IEEE Wireless Communications, early access, 2022.
Dong Liu, Jiankang Zhang, Jingjing Cui, Robert Maunder, Soon-Xin Ng, and Lajos Hanzo, “Deep Learning Aided Packet Routing in Aeronautical Ad-Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multi-Objective Optimization,” IEEE Internet of Things Journal, vol. 9, no. 6, pp. 4598-4614, Mar. 2022.
Dong Liu, Jingjing Cui, Jiankang Zhang, Chenyang Yang, and Lajos Hanzo, “Deep Reinforcement Learning Aided Packet-Routing For Aeronautical Ad-Hoc Networks Formed by Passenger Planes,” IEEE Transactions on Vehicular Technology, vol. 70, no. 5, pp 5166-5171, May 2021.
Dong Liu, Jianyu Zhao, Chenyang Yang, and Lajos Hanzo, “Accelerating Deep Reinforcement Learning with the Aid of Partial Model: Energy-Efficient Predictive Video Streaming,” IEEE Transactions on Wireless Communications, vol. 20 no. 6, Jun. 2021.
Dong Liu, Chengjian Sun, Chenyang Yang, and Lajos Hanzo, “Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning,” vol. 34, no. 4, pp. 270-277, IEEE Network, Jul./Aug. 2020.
Dong Liu and Chenyang Yang, “Caching at Base Stations with Heterogeneous User Demands and Spatial Locality,” IEEE Transactions on Communications, vol. 67, no. 2, pp 1554-1569, Feb. 2019.
Dong Liu and Chenyang Yang, “Caching Policy Toward Maximal Success Probability and Area Spectral Efficiency of Cache-enabled HetNets,” IEEE Transactions on Communications, vol. 65, no.6, pp.2699-2714, Jun. 2017.
Dong Liu, Binqiang Chen, Chenyang Yang, and Andreas F. Molisch, “Caching at the Wireless Edge: Design Aspects, Challenges and Future Directions,” IEEE Communications Magazine, vol. 54, no. 9, pp. 22-28, Sept. 2016. (ESI高被引论文, ESI研究前沿核心论文)
Dong Liu and Chenyang Yang, “Energy Efficiency of Downlink Networks with Caching at Base Stations,” IEEE Journal on Selected Areas in Communications, vol. 34, no. 4, pp. 907-922, Apr. 2016. (ESI高被引论文)
Dong Liu, Shengqian Han, Chenyang Yang, and Qian Zhang, “Semi-Dynamic User-Specific Clustering for Downlink Cloud Radio Access Network,” IEEE Transactions on Vehicular Technology, vol. 65, no. 4, pp. 2063-2077, Apr. 2016.
Tiep M Hoang, Dong Liu, Thien Van Luong, Jiankang Zhang, and Lajos Hanzo, “Deep Learning Aided Physical-Layer Security: The Security versus Reliability Trade-off,” IEEE Transactions on Cognitive Communications and Networking, vol. 8, no. 2, June 2022.
Tiep Hoang, Thien Van Luong, Dong Liu, and Lajos Hanzo, “RIS-aided AANETs: Security Maximization Relying on Unsupervised Projection-based Neural Networks,” IEEE Transactions on Vehicular Technology, vol. 71, no. 2, Feb. 2022.
Jiankang Zhang, Luping Xiang, Dong Liu, Cui Jingjing, Soon Xi Ng, Robert Maunder, Thomas Graupl, Uwe Fiebig, and Lajos Hanzo, “Semi-Stochastic Aircraft Mobility Modelling for Aeronautical Networks: An Australian Case-Study Based on Real Flight Data,” IEEE Transactions on Vehicular Technology, vol. 70, no. 10, Oct. 2021.
Jingjing Cui, Soon Xin Ng, Dong Liu, Jiankang Zhang, Arumugam Nallanathan, and Lajos Hanzo, “Multi-Objective Optimization for Integrated Ground-Air-Space Networks,” IEEE Vehicular Technology Magazine, vol. 16, no. 3, pp. 88-98, Sept. 2021.
Dong Liu, Jianyu Zhao, and Chenyang Yang, “Energy-Saving Predictive Video Streaming with Deep Reinforcement Learning,” IEEE Globecom, 2019.
Dong Liu and Chenyang Yang, “A Learning-based Approach to Joint Content Caching and Recommendation at Base Stations,” IEEE Globecom, 2018.
Dong Liu and Chenyang Yang, “When Exploiting Individual User Preference Is Beneficial for Caching at Base Stations”, IEEE ICC Workshop, 2018.
Dong Liu and Chenyang Yang, “Optimal Content Placement for Offloading in Cache-enabled Heterogeneous Wireless Networks,” IEEE Globecom, 2016.
Dong Liu and Jand Chenyang Yang, “Cache-enabled Heterogeneous Cellular Networks: Comparison and Tradeoffs,” IEEE ICC, 2016.
Dong Liu and Chenyang Yang, “Will Caching at Base Station Improve Energy Efficiency of Downlink Transmission,” IEEE GlobalSIP, 2014.
Dong Liu, Qian Zhang, Shengqian Han, Chenyang Yang, Gang Wang, and Ming Lei, “Semi-dynamic Cooperative Cluster Selection for Downlink Coordinated Beamforming Systems,” IEEE WCNC, 2014.
Binqiang Chen, Dong Liu, and Lajos Hanzo, “Decentralized Trajectory and Power Control Based on Multi-Agent Deep Reinforcement Learning in UAV Networks,” IEEE ICC, 2022.
Pengyu Cong, Chenjiang Sun, Dong Liu, and Chenyang Yang, “Optimizing Caching Policy and Bandwidth Allocation Towards User Fairness,” IEEE WCNC, 2020.
Chengjian Sun,Dong Liu, and Chenyang Yang, “Model-Free Unsupervised Learning for Optimization Problems with Constraints,” IEEE APCC, 2019.
