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ORCIDQiang Liu 0013
Person information
- affiliation: University of Nebraska-Lincoln, NE, USA
- affiliation (former): University of North Carolina at Charlotte, Department of Electrical and Computer Engineering, NC, USA
Other persons with the same name
- Qiang Liu — disambiguation page
- Qiang Liu 0001 — University of Texas at Austin, Department of Computer Science, TX, USA (and 2 more)
- Qiang Liu 0002 — Linköping University, Swedish e-Science Research Centre, Sweden
- Qiang Liu 0003
![[0000-0001-7531-4459]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7531-4459")
— University of Essex, School of Computer Science and Electronic Engineering, Colchester, UK - Qiang Liu 0004 — National University of Defense Technology, College of Computer, Changsha, China
- Qiang Liu 0005 — Delft University of Technology, The Netherlands (and 1 more)
- Qiang Liu 0006 — Chinese Academy of Sciences, Institute of Automation, Center for Research on Intelligent Perception and Computing, Beijing, China
- Qiang Liu 0007 — Oak Ridge National Laboratory, Computer Science and Mathematics Division, TN, USA (and 1 more)
- Qiang Liu 0008 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 1 more)
- Qiang Liu 0009 — Joint Center for Global Change Studies, Beijing, China (and 2 more)
- Qiang Liu 0010 — Liaoning Shihua University, School of Information and Control Engineering, Fushun, China (and 1 more)
- Qiang Liu 0011 — Tianjin University, School of Microelectronics, China (and 1 more)
- Qiang Liu 0012 — Huaihai Institute of Technology, School of Electric Engineering, Lianyungang, China
- Qiang Liu 0014 — Beijing Jiaotong University, School of Computer and Information Technology, China
- Qiang Liu 0015 — Chinese University of Hong Kong
- Qiang Liu 0016 — University of Electronic Science and Technology of China, School of Communication and Information Engineering, Chengdu, China
- Qiang Liu 0017 — Hunan University, College of Electrical and Information Engineering, Changsha, China (and 1 more)
- Qiang Liu 0018 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- Qiang Liu 0019 — University of Manchester, School of Engineering, UK
- Qiang Liu 0020 — Beijing Jiaotong University, Beijing Key Laboratory of Transportation Data Analysis and Mining, China
- Qiang Liu 0021 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Qiang Liu 0022 — University of Antwerp, Department of Biology, Belgium (and 1 more)
- Qiang Liu 0023 — Dalian University of Technology, School of Mechanical Engineering, China
- Qiang Liu 0024 — Beihang University, School of Mechanical Engineering and Automation, Beijing, China
- Qiang Liu 0025 — Shenzhen University, School of Mathematics and Statistics, China (and 1 more)
- Qiang Liu 0026 — Shandong University of Finance and Economics, Department of Network and Information Security, Jinan, China (and 1 more)
- Qiang Liu 0027 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, China
- Qiang Liu 0028 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China
- Qiang Liu 0029 — Beijing Institute of Petrochemical Technology, Institute of Precision Electromagnetic Equipment and Advanced Measurement Technology, China (and 1 more)
- Qiang Liu 0030 — Beijing University of Posts and Telecommunications, School of Information and Communication, China
- Qiang Liu 0031 — Guangdong University of Technology, Guangzhou, China
- Qiang Liu 0032 — Hunan University of Technology, College of Computer Science, Intelligent Information Perception and Processing Technology Hunan Province Key Laboratory, Zhuzhou, China
- Qiang Liu 0033 — University of Pittsburgh, Department of Neurological Surgery, PA, USA
- Qiang Liu 0034 — EPFL, Lausanne, Vaud, Switzerland (and 1 more)
- Qiang Liu 0035 — Ningbo University, Faculty of Electrical Engineering and Computer Science, China
- Qiang Liu 0036 — Alibaba Group, China
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2020 – today
- 2024
[j11]Yuru Zhang, Qiang Liu, Haoxin Wang, Dawei Chen, Kyungtae Han:
Crowdsourcing Live High Definition Map via Collaborative Computation in Automotive Edge Computing. IEEE Trans. Veh. Technol. 73(9): 13569-13583 (2024)- [i20]Tianlun Hu, Qi Liao, Qiang Liu, Antonio Massaro, Georg Carle:
Fast and Scalable Network Slicing by Integrating Deep Learning with Lagrangian Methods. CoRR abs/2401.11731 (2024) - [i19]Jiahe Cao, Qiang Liu, Dawei Chen, Kyungtae Han:
CAVE: Crowdsourcing Passing-By Vehicles for Reliable In-Vehicle Edge Computing. CoRR abs/2408.00621 (2024) - 2023
- [j10]Qiang Liu, Nakjung Choi, Tao Han:
Deep Reinforcement Learning for End-to-End Network Slicing: Challenges and Solutions. IEEE Netw. 37(2): 222-228 (2023) - [j9]Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle:
Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning. IEEE Open J. Commun. Soc. 4: 1141-1155 (2023) - [j8]Qiang Liu, Tao Han, Jiang (Linda) Xie, BaekGyu Kim:
Real-Time Dynamic Map With Crowdsourcing Vehicles in Edge Computing. IEEE Trans. Intell. Veh. 8(4): 2810-2820 (2023) - [j7]Haoxin Wang, Ziran Wang, Dawei Chen, Qiang Liu, Hongyu Ke, Kyungtae Han:
Metamobility: Connecting Future Mobility With the Metaverse. IEEE Veh. Technol. Mag. 18(3): 69-79 (2023) - [c29]Tianlun Hu, Qi Liao, Qiang Liu, Antonio Massaro, Georg Carle:
Fast and Scalable Network Slicing by Integrating Deep Learning with Lagrangian Methods. GLOBECOM 2023: 6346-6351 - [c28]Yongjie Xue, Yuru Zhang, Qiang Liu, Dawei Chen, Kyungtae Han:
CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing. ICC 2023: 3252-3257 - [c27]Yuru Zhang, Yongjie Xue, Qiang Liu, Nakjung Choi, Tao Han:
RoNet: Toward Robust Neural Assisted Mobile Network Configuration. ICC 2023: 3878-3883 - [c26]Qiang Liu, Yongjie Xue, Yuru Zhang, Dawei Chen, Kyungtae Han:
AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge. SEC 2023: 14-26 - [c25]Yuru Zhang, Yongjie Xue, Qiang Liu, Nakjung Choi:
Poster: Digital Network Twin via Learning-Based Simulator. INFOCOM Workshops 2023: 1-2 - [i18]Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle:
Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning. CoRR abs/2301.03262 (2023) - [i17]Haoxin Wang, Ziran Wang, Dawei Chen, Qiang Liu, Hongyu Ke, Kyungtae Han:
Metamobility: Connecting Future Mobility with Metaverse. CoRR abs/2301.06991 (2023) - [i16]Yongjie Xue, Yuru Zhang, Qiang Liu, Dawei Chen, Kyungtae Han:
CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing. CoRR abs/2302.03204 (2023) - [i15]Yuru Zhang, Yongjie Xue, Qiang Liu, Nakjung Choi, Tao Han:
RoNet: Toward Robust Neural Assisted Mobile Network Configuration. CoRR abs/2302.03206 (2023) - [i14]Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle:
Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning. CoRR abs/2306.11552 (2023) - [i13]Qiang Liu, Yongjie Xue, Yuru Zhang, Dawei Chen, Kyungtae Han:
AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge. CoRR abs/2309.13526 (2023) - 2022
- [j6]Fatima Salahdine, Qiang Liu, Tao Han:
Towards Secure and Intelligent Network Slicing for 5G Networks. IEEE Open J. Comput. Soc. 3: 23-38 (2022) - [c24]Qiang Liu, Nakjung Choi, Tao Han:
Atlas: automate online service configuration in network slicing. CoNEXT 2022: 140-155 - [c23]Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle:
Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning. GLOBECOM 2022: 2909-2914 - [c22]Tianlun Hu, Qi Liao, Qiang Liu, Dan Wellington, Georg Carle:
Inter-Cell Slicing Resource Partitioning via Coordinated Multi-Agent Deep Reinforcement Learning. ICC 2022: 3202-3207 - [c21]Qiang Liu, Yuru Zhang, Haoxin Wang:
EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing. ICC 2022: 4300-4305 - [i12]Qiang Liu, Yuru Zhang, Haoxin Wang:
EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing. CoRR abs/2201.07973 (2022) - [i11]Tianlun Hu, Qi Liao, Qiang Liu, Dan Wellington, Georg Carle:
Inter-Cell Slicing Resource Partitioning via Coordinated Multi-Agent Deep Reinforcement Learning. CoRR abs/2202.12833 (2022) - [i10]Qiang Liu, Nakjung Choi, Tao Han:
Deep Reinforcement Learning for End-to-End Network Slicing: Challenges and Solutions. CoRR abs/2207.14766 (2022) - [i9]Qiang Liu, Tao Han, Jiang (Linda) Xie, BaekGyu Kim:
Real-Time Dynamic Map with Crowdsourcing Vehicles in Edge Computing. CoRR abs/2210.05034 (2022) - [i8]Qiang Liu, Nakjung Choi, Tao Han:
Atlas: Automate Online Service Configuration in Network Slicing. CoRR abs/2210.16902 (2022) - 2021
- [j5]Fatima Salahdine, Johnson Opadere, Qiang Liu, Tao Han, Ning Zhang, Shaohua Wu:
A survey on sleep mode techniques for ultra-dense networks in 5G and beyond. Comput. Networks 201: 108567 (2021) - [c20]Qiang Liu, Nakjung Choi, Tao Han:
OnSlicing: online end-to-end network slicing with reinforcement learning. CoNEXT 2021: 141-153 - [c19]Qiang Liu, Nakjung Choi, Tao Han:
Constraint-Aware Deep Reinforcement Learning for End-to-End Resource Orchestration in Mobile Networks. ICNP 2021: 1-11 - [c18]Qiang Liu, Tao Han, Jiang (Linda) Xie, BaekGyu Kim:
LiveMap: Real-Time Dynamic Map in Automotive Edge Computing. INFOCOM 2021: 1-10 - [i7]Qiang Liu, Nakjung Choi, Tao Han:
Constraint-Aware Deep Reinforcement Learning for End-to-End Resource Orchestration in Mobile Networks. CoRR abs/2110.04320 (2021) - [i6]Qiang Liu, Nakjung Choi, Tao Han:
OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning. CoRR abs/2111.01616 (2021) - 2020
- [j4]Qiang Liu, Tao Han, Nirwan Ansari:
Learning-Assisted Secure End-to-End Network Slicing for Cyber-Physical Systems. IEEE Netw. 34(3): 37-43 (2020) - [c17]Qiang Liu, Tao Han, Ning Zhang, Ye Wang:
DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing. GLOBECOM 2020: 1-6 - [c16]Qiang Liu, Tao Han, Ephraim Moges:
EdgeSlice: Slicing Wireless Edge Computing Network with Decentralized Deep Reinforcement Learning. ICDCS 2020: 234-244 - [i5]Qiang Liu, Tao Han, Ephraim Moges:
EdgeSlice: Slicing Wireless Edge Computing Network with Decentralized Deep Reinforcement Learning. CoRR abs/2003.12911 (2020) - [i4]Qiang Liu, Tao Han, Ning Zhang, Ye Wang:
DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing. CoRR abs/2008.07614 (2020) - [i3]Qiang Liu, Tao Han, Jiang (Linda) Xie, BaekGyu Kim:
LiveMap: Real-Time Dynamic Map in Automotive Edge Computing. CoRR abs/2012.10252 (2020)
2010 – 2019
- 2019
- [j3]Johnson Opadere, Qiang Liu, Tao Han, Nirwan Ansari:
Energy-Efficient Virtual Radio Access Networks for Multi-Operators Cooperative Cellular Networks. IEEE Trans. Green Commun. Netw. 3(3): 603-614 (2019) - [j2]Qiang Liu, Tao Han, Nirwan Ansari:
Energy-Efficient On-Demand Resource Provisioning in Cloud Radio Access Networks. IEEE Trans. Green Commun. Netw. 3(4): 1142-1151 (2019) - [c15]Qiang Liu, Tao Han:
When Network Slicing meets Deep Reinforcement Learning. CoNEXT Companion 2019: 29-30 - [c14]Johnson Opadere, Qiang Liu, Ning Zhang, Tao Han:
Joint Computation and Communication Resource Allocation for Energy-Efficient Mobile Edge Networks. ICC 2019: 1-6 - [c13]Qiang Liu, Tao Han:
VirtualEdge: Multi-Domain Resource Orchestration and Virtualization in Cellular Edge Computing. ICDCS 2019: 1051-1060 - [c12]Qiang Liu, Tao Han:
DIRECT: Distributed Cross-Domain Resource Orchestration in Cellular Edge Computing. MobiHoc 2019: 181-190 - [i2]Qiang Liu, Tao Han, Nirwan Ansari:
Learning-Assisted Secure End-to-End Network Slicing for Cyber-Physical Systems. CoRR abs/1910.13537 (2019) - 2018
- [j1]Qiang Liu, Tao Han, Nirwan Ansari, Gang Wu:
On Designing Energy-Efficient Heterogeneous Cloud Radio Access Networks. IEEE Trans. Green Commun. Netw. 2(3): 721-734 (2018) - [c11]Qiang Liu, Tao Han, Nirwan Ansari:
Joint Radio and Computation Resource Management for Low Latency Mobile Edge Computing. GLOBECOM 2018: 1-7 - [c10]Qiang Liu, Tao Han, Nirwan Ansari:
Energy-Efficient On-Demand Cloud Radio Access Networks Virtualization. GLOBECOM 2018: 1-7 - [c9]Qiang Liu, Tao Han:
DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing. ICNP 2018: 1-11 - [c8]Qiang Liu, Tao Han:
Demo Abstract: Themis: Cross-Domain Resource Orchestration and Virtualization in Cellular Computing Networks. ICNP 2018: 257-258 - [c7]Qiang Liu, Siqi Huang, Johnson Opadere, Tao Han:
An Edge Network Orchestrator for Mobile Augmented Reality. INFOCOM 2018: 756-764 - 2017
- [c6]Qiang Liu, Siqi Huang, Tao Han:
Fast and accurate object analysis at the edge for mobile augmented reality: demo. SEC 2017: 33:1-33:2 - [c5]Siqi Huang, Qiang Liu, Tao Han, Nirwan Ansari:
Data-Driven Network Optimization in Ultra-Dense Radio Access Networks. GLOBECOM 2017: 1-6 - [c4]Johnson Opadere, Qiang Liu, Tao Han:
Energy-Efficient RRH Sleep Mode for Virtual Radio Access Networks. GLOBECOM 2017: 1-6 - [c3]Qiang Liu, Siqi Huang, Yang Deng, Tao Han:
Demo abstract: MExR: Mobile edge resource management for mixed reality applications. INFOCOM Workshops 2017: 986-987 - 2016
- [c2]Qiang Liu, Tao Han, Gang Wu:
Computing Resource Aware Energy Saving Scheme for Cloud Radio Access Networks. BDCloud-SocialCom-SustainCom 2016: 541-547 - [c1]Qiang Liu, Gang Wu, Yingchu Guo, Yusong Zhang, Su Hu:
Energy Efficient Resource Allocation for Control Data Separated Heterogeneous-CRAN. GLOBECOM 2016: 1-6 - 2015
- [i1]Qiang Liu, Gang Wu, Yingchu Guo, Yusong Zhang:
Energy Efficient Resource Allocation for Control Data Separation Architecture based H-CRAN with Heterogeneous Fronthaul. CoRR abs/1511.01969 (2015)
Coauthor Index
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