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• InSlicing: Interpretable Learning-Assisted Network Slice Configuration in Open Radio Access Networks
• Ming Zhao, Yuru Zhang, Qiang Liu, Ahan Kak, Nakjung Choi, IEEE INFOCOM NG-OPERA, 2025

• AdaSlicing: Adaptive Online Network Slicing under Continual Network Dynamics in Open Radio Access Networks
• Ming Zhao, Yuru Zhang, Qiang Liu, Ahan Kak, Nakjung Choi, IEEE INFOCOM 2025-IEEE Conference on Computer Communications, 2025

• Information Bottleneck-Based Domain Adaptation for Hybrid Deep Learning in Scalable Network Slicing
• Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle, IEEE Transactions on Machine Learning in Communications and Networking, 2024

• Learn to Augment Network Simulators Towards Digital Network Twins
• Yuru Zhang, Ming Zhao, Qiang Liu, IEEE INFOCOM 2024-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2024

• 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

• 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

• 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

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

• 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

• 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

• 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

• 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

• 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

• 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

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

• 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

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

• 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

• 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

• 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

• 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