Energy Efficient Resource Allocation for Control Data Separation Architecture based H-CRAN with Heterogeneous Fronthaul. - Qiang Liu 013; Gang Wu 001; Yingchu Guo; Yusong Zhang (CoRR, 2015)

Computing Resource Aware Energy Saving Scheme for Cloud Radio Access Networks. - Qiang Liu 013; Tao Han 002; Gang Wu 001 (BDCloud-SocialCom-SustainCom, 2016)

Energy Efficient Resource Allocation for Control Data Separated Heterogeneous-CRAN. - Qiang Liu 013; Gang Wu 001; Yingchu Guo; Yusong Zhang; Su Hu (GLOBECOM, 2016)

Fast and accurate object analysis at the edge for mobile augmented reality: demo. - Qiang Liu 013; Siqi Huang; Tao Han 002 (SEC, 2017)

Data-Driven Network Optimization in Ultra-Dense Radio Access Networks. - Siqi Huang; Qiang Liu 013; Tao Han 002; Nirwan Ansari (GLOBECOM, 2017)

Energy-Efficient RRH Sleep Mode for Virtual Radio Access Networks. - Johnson Opadere; Qiang Liu 013; Tao Han 002 (GLOBECOM, 2017)

Demo abstract: MExR: Mobile edge resource management for mixed reality applications. - Qiang Liu 013; Siqi Huang; Yang Deng; Tao Han 002 (INFOCOM Workshops, 2017)

Joint Radio and Computation Resource Management for Low Latency Mobile Edge Computing. - Qiang Liu 013; Tao Han 002; Nirwan Ansari (GLOBECOM, 2018)

Energy-Efficient On-Demand Cloud Radio Access Networks Virtualization. - Qiang Liu 013; Tao Han 002; Nirwan Ansari (GLOBECOM, 2018)

DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing. - Qiang Liu 013; Tao Han 002 (ICNP, 2018)

Demo Abstract: Themis: Cross-Domain Resource Orchestration and Virtualization in Cellular Computing Networks. - Qiang Liu 013; Tao Han 002 (ICNP, 2018)

An Edge Network Orchestrator for Mobile Augmented Reality. - Qiang Liu 013; Siqi Huang; Johnson Opadere; Tao Han 002 (INFOCOM, 2018)

On Designing Energy-Efficient Heterogeneous Cloud Radio Access Networks. - Qiang Liu 013; Tao Han 002; Nirwan Ansari; Gang Wu 001 (IEEE Trans. Green Commun. Netw., 2018)

When Network Slicing meets Deep Reinforcement Learning. - Qiang Liu 013; Tao Han 002 (CoNEXT Companion, 2019)

Joint Computation and Communication Resource Allocation for Energy-Efficient Mobile Edge Networks. - Johnson Opadere; Qiang Liu 013; Ning Zhang 007; Tao Han 002 (ICC, 2019)

VirtualEdge: Multi-Domain Resource Orchestration and Virtualization in Cellular Edge Computing. - Qiang Liu 013; Tao Han 002 (ICDCS, 2019)

DIRECT: Distributed Cross-Domain Resource Orchestration in Cellular Edge Computing. - Qiang Liu 013; Tao Han 002 (MobiHoc, 2019)

Energy-Efficient On-Demand Resource Provisioning in Cloud Radio Access Networks. - Qiang Liu 013; Tao Han 002; Nirwan Ansari (IEEE Trans. Green Commun. Netw., 2019)

Energy-Efficient Virtual Radio Access Networks for Multi-Operators Cooperative Cellular Networks. - Johnson Opadere; Qiang Liu 013; Tao Han 002; Nirwan Ansari (IEEE Trans. Green Commun. Netw., 2019)

DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing. - Qiang Liu 013; Tao Han 002; Ning Zhang 007; Ye Wang 002 (GLOBECOM, 2020)

EdgeSlice: Slicing Wireless Edge Computing Network with Decentralized Deep Reinforcement Learning. - Qiang Liu 013; Tao Han 002; Ephraim Moges (ICDCS, 2020)

Learning-Assisted Secure End-to-End Network Slicing for Cyber-Physical Systems. - Qiang Liu 013; Tao Han 002; Nirwan Ansari (IEEE Netw., 2020)

OnSlicing: online end-to-end network slicing with reinforcement learning. - Qiang Liu 013; Nakjung Choi; Tao Han 002 (CoNEXT, 2021)

Constraint-Aware Deep Reinforcement Learning for End-to-End Resource Orchestration in Mobile Networks. - Qiang Liu 013; Nakjung Choi; Tao Han 002 (ICNP, 2021)

LiveMap: Real-Time Dynamic Map in Automotive Edge Computing. - Qiang Liu 013; Tao Han 002; Jiang (Linda) Xie; BaekGyu Kim (INFOCOM, 2021)

A survey on sleep mode techniques for ultra-dense networks in 5G and beyond. - Fatima Salahdine; Johnson Opadere; Qiang Liu 013; Tao Han 002; Ning Zhang 007; Shaohua Wu (Comput. Networks, 2021)

Atlas: automate online service configuration in network slicing. - Qiang Liu 013; Nakjung Choi; Tao Han 002 (CoNEXT, 2022)

Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning. - Tianlun Hu; Qi Liao 003; Qiang Liu 013; Georg Carle (GLOBECOM, 2022)

Inter-Cell Slicing Resource Partitioning via Coordinated Multi-Agent Deep Reinforcement Learning. - Tianlun Hu; Qi Liao 003; Qiang Liu 013; Dan Wellington; Georg Carle (ICC, 2022)

EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing. - Qiang Liu 013; Yuru Zhang; Haoxin Wang (ICC, 2022)

Towards Secure and Intelligent Network Slicing for 5G Networks. - Fatima Salahdine; Qiang Liu 013; Tao Han 002 (IEEE Open J. Comput. Soc., 2022)

Fast and Scalable Network Slicing by Integrating Deep Learning with Lagrangian Methods. - Tianlun Hu; Qi Liao 003; Qiang Liu 013; Antonio Massaro; Georg Carle (GLOBECOM, 2023)

CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing. - Yongjie Xue; Yuru Zhang; Qiang Liu 013; Dawei Chen; Kyungtae Han (ICC, 2023)

RoNet: Toward Robust Neural Assisted Mobile Network Configuration. - Yuru Zhang; Yongjie Xue; Qiang Liu 013; Nakjung Choi; Tao Han 002 (ICC, 2023)

AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge. - Qiang Liu 013; Yongjie Xue; Yuru Zhang; Dawei Chen; Kyungtae Han (SEC, 2023)

Poster: Digital Network Twin via Learning-Based Simulator. - Yuru Zhang; Yongjie Xue; Qiang Liu 013; Nakjung Choi (INFOCOM Workshops, 2023)

Deep Reinforcement Learning for End-to-End Network Slicing: Challenges and Solutions. - Qiang Liu 013; Nakjung Choi; Tao Han 002 (IEEE Netw., 2023)

Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning. - Tianlun Hu; Qi Liao 003; Qiang Liu 013; Georg Carle (IEEE Open J. Commun. Soc., 2023)

Real-Time Dynamic Map With Crowdsourcing Vehicles in Edge Computing. - Qiang Liu 013; Tao Han 002; Jiang (Linda) Xie; BaekGyu Kim (IEEE Trans. Intell. Veh., 2023)

Metamobility: Connecting Future Mobility With the Metaverse. - Haoxin Wang; Ziran Wang; Dawei Chen; Qiang Liu 013; Hongyu Ke; Kyungtae Han (IEEE Veh. Technol. Mag., 2023)

CAVE: Crowdsourcing Passing-By Vehicles for Reliable In-Vehicle Edge Computing. - Jiahe Cao; Qiang Liu 013; Dawei Chen; Kyungtae Han (GLOBECOM, 2024)

LeFi: Learn to Incentivize Federated Learning in Automotive Edge Computing. - Ming Zhao; Yuru Zhang; Qiang Liu 013; Tao Han 002 (GLOBECOM, 2024)

Crowdsourcing Live High Definition Map via Collaborative Computation in Automotive Edge Computing. - Yuru Zhang; Qiang Liu 013; Haoxin Wang; Dawei Chen; Kyungtae Han (IEEE Trans. Veh. Technol., 2024)