Conference Papers
Conference Papers
IEEE International Conference on Communications (ICC), 2026
Automatic Network Planning with Digital Radio Twin
Li, Xiaomeng and Zhang, Yuru and Liu, Qiang and Vuran, Mehmet Can and Huynh, Nathan and Zhao, Li and Rahman, Mizan and Ozguven, Eren Erman
IEEE Conference on Computer Communications (INFOCOM), 2026
inRAN: Interpretable Online Bayesian Learning for Network Automation in Open Radio Access Networks
Zhao, Ming and Zhang, Yuru and Liu, Qiang and Kak, Ahan and Choi, Nakjung
IEEE Conference on Computer Communications (INFOCOM), 2026
oneTwin: Online Digital Network Twin via Neural Radio Radiance Field
Zhang, Yuru and Zhao, Ming and Liu, Qiang and Choi, Nakjung
IEEE Conference on Computer Communications (INFOCOM), 2025
AdaSlicing: Adaptive Online Network Slicing Under Continual Network Dynamics in Open Radio Access Networks
Zhao, Ming and Zhang, Yuru and Liu, Qiang and Kak, Ahan and Choi, Nakjung
IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2025
InSlicing: Interpretable Learning-Assisted Network Slice Configuration in Open Radio Access Networks
Zhao, Ming and Zhang, Yuru and Liu, Qiang and Kak, Ahan and Choi, Nakjung
IEEE Global Communications Conference (GLOBECOM), 2024
CAVE: Crowdsourcing Passing-By Vehicles for Reliable In-Vehicle Edge Computing
Cao, Jiahe and Liu, Qiang and Chen, Dawei and Han, Kyungtae
IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2024
Learn to Augment Network Simulators Towards Digital Network Twins
Zhang, Yuru and Zhao, Ming and Liu, Qiang and Choi, Nakjung
IEEE Global Communications Conference (GLOBECOM), 2024
LeFi: Learn to Incentivize Federated Learning in Automotive Edge Computing
Zhao, Ming and Zhang, Yuru and Liu, Qiang and Han, Tao
IEEE/ACM Symposium on Edge Computing (SEC), 2023
AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge
Liu, Qiang and Xue, Yongjie and Zhang, Yuru and Chen, Dawei and Han, Kyungtae
IEEE International Conference on Communications (ICC), 2023
CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing
Xue, Yongjie and Zhang, Yuru and Liu, Qiang and Chen, Dawei and Han, Kyungtae
IEEE Global Communications Conference (GLOBECOM), 2023
Fast and Scalable Network Slicing by Integrating Deep Learning with Lagrangian Methods
Hu, Tianlun and Liao, Qi and Liu, Qiang and Massaro, Antonio and Carle, Georg
IEEE International Conference on Communications (ICC), 2023
RoNet: Toward Robust Neural Assisted Mobile Network Configuration
Zhang, Yuru and Xue, Yongjie and Liu, Qiang and Choi, Nakjung and Han, Tao
Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies (CoNEXT), 2022
Atlas: Automate Online Service Configuration in Network Slicing
Liu, Qiang and Choi, Nakjung and Han, Tao
IEEE International Conference on Communications (ICC), 2022
EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing
Liu, Qiang and Zhang, Yuru and Wang, Haoxin
IEEE International Conference on Communications (ICC), 2022
Inter-cell Slicing Resource Partitioning via Coordinated Multi-Agent Deep Reinforcement Learning
Hu, Tianlun and Liao, Qi and Liu, Qiang and Wellington, Dan and Carle, Georg
IEEE Global Communications Conference (GLOBECOM), 2022
Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning
Hu, Tianlun and Liao, Qi and Liu, Qiang and Carle, Georg
IEEE 29th International Conference on Network Protocols (ICNP), 2021
Constraint-Aware Deep Reinforcement Learning for End-to-End Resource Orchestration in Mobile Networks
Liu, Qiang and Choi, Nakjung and Han, Tao
IEEE Conference on Computer Communications (INFOCOM), 2021
LiveMap: Real-Time Dynamic Map in Automotive Edge Computing
Liu, Qiang and Han, Tao and Xie, Jiang Linda and Kim, BaekGyu
Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies (CoNEXT), 2021
OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning
Liu, Qiang and Choi, Nakjung and Han, Tao
Journal Articles
Journal Articles
IEEE Transactions on Vehicular Technology, 2024
Crowdsourcing Live High Definition Map via Collaborative Computation in Automotive Edge Computing
Zhang, Yuru and Liu, Qiang and Wang, Haoxin and Chen, Dawei and Han, Kyungtae
IEEE Transactions on Machine Learning in Communications and Networking, 2024
Information Bottleneck-Based Domain Adaptation for Hybrid Deep Learning in Scalable Network Slicing
Hu, Tianlun and Liao, Qi and Liu, Qiang and Carle, Georg
IEEE Open Journal of the Communications Society, 2023
Inter-Cell Network Slicing with Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning
Hu, Tianlun and Liao, Qi and Liu, Qiang and Carle, Georg
IEEE Vehicular Technology Magazine, 2023
MetaMobility: Connecting Future Mobility With the Metaverse
Wang, Haoxin and Wang, Ziran and Chen, Dawei and Liu, Qiang and Ke, Hongyu and Han, Kyungtae KT
IEEE Network Magazine, 2022
Deep Reinforcement Learning for End-to-End Network Slicing: Challenges and Solutions
Liu, Qiang and Choi, Nakjung and Han, Tao
IEEE Transactions on Intelligent Vehicles, 2022
Real-Time Dynamic Map with Crowdsourcing Vehicles in Edge Computing
Liu, Qiang and Han, Tao and Xie, Jiang Linda and Kim, BaekGyu
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For the complete list, please refer to Google Scholar.