Wireless Networks
- INFOCOM '26inRAN: Interpretable Online Bayesian Learning for Network Automation in Open Radio Access Networks
Ming Zhao, Yuru Zhang, Qiang Liu, Ahan Kak, Nakjung Choi
O-RANNetwork AutomationInterpretable AI - INFOCOM '25AdaSlicing: Adaptive Online Network Slicing Under Continual Network Dynamics in Open Radio Access Networks
Ming Zhao, Yuru Zhang, Qiang Liu, Ahan Kak, Nakjung Choi
Network SlicingContinual AdaptationOnline Learning - TMLCN '24Information Bottleneck-Based Domain Adaptation for Hybrid Deep Learning in Scalable Network Slicing
Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle
Network SlicingDomain AdaptationHybrid Deep Learning - GLOBECOM '23Fast and Scalable Network Slicing by Integrating Deep Learning with Lagrangian Methods
Tianlun Hu, Qi Liao, Qiang Liu, Antonio Massaro, Georg Carle
Network SlicingDeep LearningLagrangian Methods - ICC '23RoNet: Toward Robust Neural Assisted Mobile Network Configuration
Yuru Zhang, Yongjie Xue, Qiang Liu, Nakjung Choi, Tao Han
Network ConfigurationRobust LearningNeural-Assisted Control - OJ-COMS '23Inter-Cell Network Slicing with Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning
Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle
Network SlicingTransfer LearningMulti-Agent RL - IEEE Network '22Deep Reinforcement Learning for End-to-End Network Slicing: Challenges and Solutions
Qiang Liu, Nakjung Choi, Tao Han
Network SlicingDeep RLEnd-to-End - CoNEXT '22Atlas: Automate Online Service Configuration in Network Slicing
Qiang Liu, Nakjung Choi, Tao Han
Network SlicingService ConfigurationOnline Learning - GLOBECOM '22Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning
Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle
Network SlicingTransfer LearningDistributed RL - ICC '22Best PaperInter-cell Slicing Resource Partitioning via Coordinated Multi-Agent Deep Reinforcement Learning
Tianlun Hu, Qi Liao, Qiang Liu, Dan Wellington, Georg Carle
Network SlicingMulti-Agent RLResource Partitioning - CoNEXT '21OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning
Qiang Liu, Nakjung Choi, Tao Han
Network SlicingReinforcement LearningSafe Online Learning - ICNP '21Constraint-Aware Deep Reinforcement Learning for End-to-End Resource Orchestration in Mobile Networks
Qiang Liu, Nakjung Choi, Tao Han
Resource OrchestrationConstrained RLEnd-to-End Networks
Embodied Intelligence
- ICCCN '26EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge
Jiahe Cao, Xiaomeng Li, Qiang Liu, Tao Han, Ning Zhang, Weisong Shi
Edge AIMulti-DNN ServingDeadline-Aware Scheduling - GLOBECOM '24LeFi: Learn to Incentivize Federated Learning in Automotive Edge Computing
Ming Zhao, Yuru Zhang, Qiang Liu, Tao Han
Federated LearningIncentive DesignAutomotive Edge - GLOBECOM '24CAVE: Crowdsourcing Passing-By Vehicles for Reliable In-Vehicle Edge Computing
Jiahe Cao, Qiang Liu, Dawei Chen, Kyungtae Han
Vehicular Edge ComputingCrowdsourcingReliability - TVT '24Crowdsourcing Live High Definition Map via Collaborative Computation in Automotive Edge Computing
Yuru Zhang, Qiang Liu, Haoxin Wang, Dawei Chen, Kyungtae Han
HD MapCollaborative ComputingAutomotive Edge - SEC '23AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge
Qiang Liu, Yongjie Xue, Yuru Zhang, Dawei Chen, Kyungtae Han
Cooperative PerceptionEdge AIResource Orchestration - ICC '23CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing
Yongjie Xue, Yuru Zhang, Qiang Liu, Dawei Chen, Kyungtae Han
Crowdsourcing MapProactive ProvisioningAutomotive Edge - TIV '22Real-Time Dynamic Map with Crowdsourcing Vehicles in Edge Computing
Qiang Liu, Tao Han, Jiang Linda Xie, BaekGyu Kim
Dynamic MapCrowdsourcing VehiclesEdge Computing - ICC '22EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing
Qiang Liu, Yuru Zhang, Haoxin Wang
HD MapCrowdsourcingAutomotive Edge - INFOCOM '21LiveMap: Real-Time Dynamic Map in Automotive Edge Computing
Qiang Liu, Tao Han, Jiang Linda Xie, BaekGyu Kim
Dynamic MapReal-Time PerceptionAutomotive Edge
Cyber-Physical Systems
- ICCCN '26Best PaperRadTwin: Generalizable Wireless Digital Twin for Dynamic Environments
Yuru Zhang, Ming Zhao, Qiang Liu, Ahmed Alkhateeb, Abhishek K. Agrawal, Qi Qu
Wireless Digital TwinGeneralizationDynamic Environments - ICC '26Automatic Network Planning with Digital Radio Twin
Xiaomeng Li, Yuru Zhang, Qiang Liu, Mehmet Can Vuran, Nathan Huynh, Li Zhao, Mizan Rahman, Eren Erman Ozguven
Digital Radio TwinNetwork PlanningSim-to-Real - INFOCOM '26oneTwin: Online Digital Network Twin via Neural Radio Radiance Field
Yuru Zhang, Ming Zhao, Qiang Liu, Nakjung Choi
Digital Network TwinNeural Radio FieldOnline Learning - MOST '25Poster: Multi-Layer Digital Transportation Twin
Jiahe Cao, Qiang Liu, Li Zhao, Nathan Huynh
Digital TwinTransportation SystemsMulti-Layer Modeling
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