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• LeFi: Learn to Incentivize Federated Learning in Automotive Edge Computing
• Ming Zhao, Yuru Zhang, Qiang Liu, Tao Han, IEEE Global Communications Conference (GLOBECOM), 2024

• CAVE: Crowdsourcing Passing-By Vehicles for Reliable In-Vehicle Edge Computing
• Jiahe Cao, Qiang Liu, Dawei Chen, Kyungtae Han, IEEE Global Communications Conference (GLOBECOM), 2024

• CrowdSourcing Live High Definition Map via Collaborative Computation in Automotive Edge Computing
• Yuru Zhang, Qiang Liu, Haoxin Wang, Dawei Chen, Kyungtae Han, IEEE Transactions on Vehicular Technology, 2024

• Learn to Augment Network Simulators Towards Digital Network Twins
• Yuru Zhang, Ming Zhao, Qiang Liu, arXiv preprint arXiv:2311.12745, 2023

• AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge
• Qiang Liu, Yongjie Xue, Yuru Zhang, Dawei Chen, Kyungtae Han, 2023 IEEE/ACM Symposium on Edge Computing (SEC), 2023

• RoNet: Toward Robust Neural Assisted Mobile Network Configuration
• Yuru Zhang, Yongjie Xue, Qiang Liu, Nakjung Choi, Tao Han, IEEE International Conference on Communications (ICC), 2023

• CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing
• Yongjie Xue, Yuru Zhang, Qiang Liu, Dawei Chen, Kyungtae Han, IEEE International Conference on Communications (ICC), 2023

• Poster: Digital Network Twin via Learning-Based Simulator
• Yuru Zhang, Yongjie Xue, Qiang Liu, Nakjung Choi, IEEE INFOCOM 2023-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2023

• Inter-Cell Network Slicing with Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning
• Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle, IEEE Open Journal of the Communications Society, 2023

• MetaMobility: Connecting Future Mobility With the Metaverse
• Haoxin Wang, Ziran Wang, Dawei Chen, Qiang Liu, Hongyu Ke, KyungtaeKT Han, IEEE Vehicular Technology Magazine, 2023

• Real-Time Dynamic Map with Crowdsourcing Vehicles in Edge Computing
• Qiang Liu, Tao Han, JiangLinda Xie, BaekGyu Kim, IEEE Transactions on Intelligent Vehicles, 2022

• Deep Reinforcement Learning for End-to-End Network Slicing: Challenges and Solutions
• Qiang Liu, Nakjung Choi, Tao Han, IEEE Network, 2022

• Atlas: Automate Online Service Configuration in Network Slicing
• Qiang Liu, Nakjung Choi, Tao Han, Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies, 2022

• EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing
• Qiang Liu, Yuru Zhang, Haoxin Wang, ICC 2022-IEEE International Conference on Communications, 2022

• Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning
• Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle, GLOBECOM 2022-2022 IEEE Global Communications Conference, 2022

• Inter-cell Slicing Resource Partitioning via Coordinated Multi-Agent Deep Reinforcement Learning
• Tianlun Hu, Qi Liao, Qiang Liu, Dan Wellington, Georg Carle, ICC 2022-IEEE International Conference on Communications, 2022

• Towards Secure and Intelligent Network Slicing for 5G Networks
• Fatima Salahdine, Qiang Liu, Tao Han, IEEE Open Journal of the Computer Society, 2022

• STFL: Spatio-temporal Federated Learning for Vehicle Trajectory Prediction
• Xuehan Zhou, Ruimin Ke, Zhiyong Cui, Qiang Liu, Wenxing Qian, 2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI), 2022

• OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning
• Qiang Liu, Nakjung Choi, Tao Han, Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies, 2021

• Constraint-Aware Deep Reinforcement Learning for End-to-End Resource Orchestration in Mobile Networks
• Qiang Liu, Nakjung Choi, Tao Han, 2021 IEEE 29th International Conference on Network Protocols (ICNP), 2021

• LiveMap: Real-Time Dynamic Map in Automotive Edge Computing
• Qiang Liu, Tao Han, JiangLinda Xie, BaekGyu Kim, IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 2021

• A Survey on Sleep Mode Techniques for Ultra-Dense Networks in 5G and Beyond
• Fatima Salahdine, Johnson Opadere, Qiang Liu, Tao Han, Ning Zhang, Shaohua Wu, Computer Networks, 2021

• Learning-Assisted Secure End-to-End Network Slicing for Cyber-Physical Systems
• Qiang Liu, Tao Han, Nirwan Ansari, IEEE Network, 2020

• EdgeSlice: Slicing Wireless Edge Computing Network with Decentralized Deep Reinforcement Learning
• Qiang Liu, Tao Han, Ephraim Moges, 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS), 2020

• DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing
• Qiang Liu, Tao Han, Ning Zhang, Ye Wang, GLOBECOM 2020-2020 IEEE Global Communications Conference, 2020

• Energy-Efficient On-Demand Resource Provisioning in Cloud Radio Access Networks
• Qiang Liu, Tao Han, Nirwan Ansari, IEEE Transactions on Green Communications and Networking, 2019

• DIRECT: Distributed Cross-Domain Resource Orchestration in Cellular Edge Computing
• Qiang Liu, Tao Han, Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

• VirtualEdge: Multi-Domain Resource Orchestration and Virtualization in Cellular Edge Computing
• Qiang Liu, Tao Han, 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), 2019

• Energy-Efficient Virtual Radio Access Networks for Multi-Operators Cooperative Cellular Networks
• Johnson Opadere, Qiang Liu, Tao Han, Nirwan Ansari, IEEE Transactions on Green Communications and Networking, 2019

• Joint Computation and Communication Resource Allocation for Energy-Efficient Mobile Edge Networks
• Johnson Opadere, Qiang Liu, Ning Zhang, Tao Han, ICC 2019-2019 IEEE International Conference on Communications (ICC), 2019

• When Network Slicing Meets Deep Reinforcement Learning
• Qiang Liu, Tao Han, Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies, Workshop, 2019

• An Edge Network Orchestrator for Mobile Augmented Reality
• Qiang Liu, Siqi Huang, Johnson Opadere, Tao Han, IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 2018

• Dare: Dynamic Adaptive Mobile Augmented Reality with Edge Computing
• Qiang Liu, Tao Han, 2018 IEEE 26th International Conference on Network Protocols (ICNP), 2018

• Joint Radio and Computation Resource Management for Low Latency Mobile Edge Computing
• Qiang Liu, Tao Han, Nirwan Ansari, 2018 IEEE Global Communications Conference (GLOBECOM), 2018

• On Designing Energy-Efficient Heterogeneous Cloud Radio Access Networks
• Qiang Liu, Tao Han, Nirwan Ansari, Gang Wu, IEEE Transactions on Green Communications and Networking, 2018

• Energy-Efficient On-Demand Cloud Radio Access Networks Virtualization
• Qiang Liu, Tao Han, Nirwan Ansari, 2018 IEEE Global Communications Conference (GLOBECOM), 2018

• Demo abstract: Themis: Cross-domain resource orchestration and virtualization in cellular computing networks
• Qiang Liu, Tao Han, 2018 IEEE 26th International Conference on Network Protocols (ICNP), 2018

• Demo abstract: MExR: Mobile edge resource management for mixed reality applications
• Qiang Liu, Siqi Huang, Yang Deng, Tao Han, 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2017

• Fast and accurate object analysis at the edge for mobile augmented reality
• Qiang Liu, Siqi Huang, Tao Han, Proceedings of the Second ACM/IEEE Symposium on Edge Computing, 2017

• Energy-Efficient RRH Sleep Mode for Virtual Radio Access Networks
• Johnson Opadere, Qiang Liu, Tao Han, GLOBECOM 2017-2017 IEEE Global Communications Conference, 2017

• Energy Efficient Resource Allocation for Control Data Separated Heterogeneous-CRAN
• Qiang Liu, Gang Wu, Yingchu Guo, Yusong Zhang, Su Hu, 2016 IEEE Global Communications Conference (GLOBECOM), 2016

• Computing Resource Aware Energy Saving Scheme for Cloud Radio Access Networks
• Qiang Liu, Tao Han, Gang Wu, 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom)(BDCloud-SocialCom-SustainCom), 2016