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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2022
[j56]Oluwaseyi Onasami
, Ming Feng, Hao Xu, Mulugeta Haile, Lijun Qian:
Underwater Acoustic Communication Channel Modeling Using Reservoir Computing. IEEE Access 10: 56550-56563 (2022)- [j55]Bo Yang, Omobayode Fagbohungbe, Xuelin Cao, Chau Yuen, Lijun Qian, Dusit Niyato, Yan Zhang:
A Joint Energy and Latency Framework for Transfer Learning Over 5G Industrial Edge Networks. IEEE Trans. Ind. Informatics 18(1): 531-541 (2022) - [j54]Chen Chen, Bing Wu, Liang Xuan, Jian Chen, Lijun Qian:
A Discrete Control Method for the Unsignalized Intersection Based on Cooperative Grouping. IEEE Trans. Veh. Technol. 71(1): 123-136 (2022) - [i21]Xishuang Dong, Lijun Qian:
Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection. CoRR abs/2201.02048 (2022) - [i20]Omobayode Fagbohungbe, Lijun Qian:
Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models. CoRR abs/2205.04886 (2022) - [i19]Omobayode Fagbohungbe, Lijun Qian:
Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models. CoRR abs/2205.07372 (2022) - [i18]Omobayode Fagbohungbe, Lijun Qian:
Impact of Learning Rate on Noise Resistant Property of Deep Learning Models. CoRR abs/2205.07856 (2022) - [i17]Bo Yang, Xuelin Cao, Chongwen Huang, Chau Yuen, Marco Di Renzo, Yong Liang Guan, Dusit Niyato, Lijun Qian, Mérouane Debbah:
Federated Spectrum Learning for Reconfigurable Intelligent Surfaces-Aided Wireless Edge Networks. CoRR abs/2205.10791 (2022) - [i16]Lucy Nwosu, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong:
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image. CoRR abs/2206.00002 (2022) - 2021
- [j53]Lijun Qian, Qing Zhou, Xiaohuan Cao, Wenjun Shen, Shiteng Suo, Shanshan Ma, Guoxiang Qu, Xuhua Gong, Yunqi Yan, Jianrong Xu, Luan Jiang:
A cascade-network framework for integrated registration of liver DCE-MR images. Comput. Medical Imaging Graph. 89: 101887 (2021) - [j52]Bo Yang, Xuelin Cao, Chau Yuen, Lijun Qian:
Offloading Optimization in Edge Computing for Deep-Learning-Enabled Target Tracking by Internet of UAVs. IEEE Internet Things J. 8(12): 9878-9893 (2021) - [j51]Joshua Bassey, Xiangfang Li, Lijun Qian:
Device Authentication Codes based on RF Fingerprinting using Deep Learning. EAI Endorsed Trans. Security Safety 8(29): e5 (2021) - [j50]Bo Yang, Xuelin Cao, Joshua Bassey, Xiangfang Li, Lijun Qian:
Computation Offloading in Multi-Access Edge Computing: A Multi-Task Learning Approach. IEEE Trans. Mob. Comput. 20(9): 2745-2762 (2021) - [j49]Bo Yang, Xuelin Cao, Chongwen Huang, Chau Yuen, Lijun Qian, Marco Di Renzo:
Intelligent Spectrum Learning for Wireless Networks With Reconfigurable Intelligent Surfaces. IEEE Trans. Veh. Technol. 70(4): 3920-3925 (2021) - [j48]Bo Yang, Xuelin Cao, Kai Xiong, Chau Yuen, Yong Liang Guan, Supeng Leng, Lijun Qian, Zhu Han:
Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions. IEEE Wirel. Commun. 28(2): 40-47 (2021) - [c98]Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian:
Robust Face Mask Detection using Deep Learning on IoT Devices. ICC Workshops 2021: 1-6 - [c97]Omobayode Fagbohungbe, Lijun Qian:
Benchmarking Inference Performance of Deep Learning Models on Analog Devices. IJCNN 2021: 1-9 - [c96]Xuelin Cao, Bo Yang, Hongliang Zhang, Lijun Qian, Chau Yuen, Zhu Han:
Reconfigurable Intelligent Surface Assisted Internet-of-Things: MAC Design and Optimization. WCNC Workshops 2021: 1-6 - [c95]Oluwaseyi Onasami, Damilola Adesina, Lijun Qian:
Underwater Acoustic Communication Channel Modeling using Deep Learning. WUWNet 2021: 9:1-9:8 - [i15]Joshua Bassey, Lijun Qian, Xiangfang Li:
A Survey of Complex-Valued Neural Networks. CoRR abs/2101.12249 (2021) - [i14]Lucy Nwuso, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong:
Semi-supervised Learning for COVID-19 Image Classification via ResNet. CoRR abs/2103.06140 (2021) - [i13]Bo Yang, Omobayode Fagbohungbe, Xuelin Cao, Chau Yuen, Lijun Qian, Dusit Niyato, Yan Zhang:
A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks. CoRR abs/2104.09382 (2021) - 2020
- [j47]Bo Yang, Xuelin Cao, Oluwaseyi Omotere, Xiangfang Li, Zhu Han, Lijun Qian:
Improving Medium Access Efficiency With Intelligent Spectrum Learning. IEEE Access 8: 94484-94498 (2020) - [j46]Damilola Adesina, Joshua Bassey, Lijun Qian:
Robust Deep Radio Frequency Spectrum Learning for Future Wireless Communications Systems. IEEE Access 8: 148528-148540 (2020) - [j45]Liang Xuan, Lijun Qian, Jian Chen, Xianxu Bai, Bing Wu:
State-of-Charge Prediction of Battery Management System Based on Principal Component Analysis and Improved Support Vector Machine for Regression. IEEE Access 8: 164693-164704 (2020) - [j44]Samuel Oludare Bamgbose, Xiangfang Li, Lijun Qian:
Neural network-based non-linear adaptive controller design for a class of bilinear system. Cogn. Comput. Syst. 2(1): 1-11 (2020) - [j43]Xuelin Cao, Zuxun Song, Bo Yang, Mohamed A. ElMossallamy, Lijun Qian, Zhu Han:
A Distributed Ambient Backscatter MAC Protocol for Internet-of-Things Networks. IEEE Internet Things J. 7(2): 1488-1501 (2020) - [j42]Bo Yang, Xuelin Cao, Xiangfang Li, Qinqing Zhang, Lijun Qian:
Mobile-Edge-Computing-Based Hierarchical Machine Learning Tasks Distribution for IIoT. IEEE Internet Things J. 7(3): 2169-2180 (2020) - [j41]Chen Chen, Bing Wu, Liang Xuan, Jian Chen, Tianxiang Wang, Lijun Qian:
A Trajectory Planning Method for Autonomous Valet Parking via Solving an Optimal Control Problem. Sensors 20(22): 6435 (2020) - [j40]Xishuang Dong, Uboho Victor, Lijun Qian:
Two-Path Deep Semisupervised Learning for Timely Fake News Detection. IEEE Trans. Comput. Soc. Syst. 7(6): 1386-1398 (2020) - [j39]Xuelin Cao, Zuxun Song, Bo Yang, Lijun Qian, Zhu Han:
Full-Duplex MAC in LAA/ Wi-Fi Coexistence Networks: Design, Modeling, and Analysis. IEEE Trans. Wirel. Commun. 19(8): 5531-5546 (2020) - [j38]Bo Yang, Xuelin Cao, Xiangfang Li, Chau Yuen, Lijun Qian:
Lessons Learned From Accident of Autonomous Vehicle Testing: An Edge Learning-Aided Offloading Framework. IEEE Wirel. Commun. Lett. 9(8): 1182-1186 (2020) - [c94]Shanta Chowdhury, Xishuang Dong, Oscar A. Solis, Lijun Qian, Xiangfang Li:
Cell Type Identification from Single-Cell Transcriptomic Data via Gene Embedding. ICMLA 2020: 258-263 - [c93]Brandon Williams, Xishuang Dong, Lijun Qian:
Data Driven Network Monitoring and Intrusion Detection using Machine Learning. SNAMS 2020: 1-7 - [i12]Xishuang Dong, Uboho Victor, Lijun Qian:
Two-path Deep Semi-supervised Learning for Timely Fake News Detection. CoRR abs/2002.00763 (2020) - [i11]Joshua Bassey, Xiangfang Li, Lijun Qian:
Device Authentication Codes based on RF Fingerprinting using Deep Learning. CoRR abs/2004.08742 (2020) - [i10]Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian:
Ensemble Deep Learning on Time-Series Representation of Tweets for Rumor Detection in Social Media. CoRR abs/2004.12500 (2020) - [i9]Xishuang Dong, Shanta Chowdhury, Uboho Victor, Xiangfang Li, Lijun Qian:
Cell Type Identification from Single-Cell Transcriptomic Data via Semi-supervised Learning. CoRR abs/2005.03994 (2020) - [i8]Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian:
Efficient Privacy Preserving Edge Computing Framework for Image Classification. CoRR abs/2005.04563 (2020) - [i7]Bo Yang, Xuelin Cao, Xiangfang Li, Chau Yuen, Lijun Qian:
Lessons Learned from Accident of Autonomous Vehicle Testing: An Edge Learning-aided Offloading Framework. CoRR abs/2006.15382 (2020) - [i6]Bo Yang, Xuelin Cao, Joshua Bassey, Xiangfang Li, Timothy S. Kroecker, Lijun Qian:
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach. CoRR abs/2006.16104 (2020) - [i5]Bo Yang, Xuelin Cao, Chau Yuen, Lijun Qian:
Offloading Optimization in Edge Computing for Deep Learning Enabled Target Tracking by Internet-of-UAVs. CoRR abs/2008.08001 (2020) - [i4]Omobayode Fagbohungbe, Lijun Qian:
Benchmarking Inference Performance of Deep Learning Models on Analog Devices. CoRR abs/2011.11840 (2020) - [i3]Bo Yang, Xuelin Cao, Kai Xiong, Chau Yuen, Yong Liang Guan, Supeng Leng, Lijun Qian, Zhu Han:
Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions. CoRR abs/2012.06992 (2020)
2010 – 2019
- 2019
- [j37]Ming Feng, Lijun Qian, Hao Xu:
Multi-Autonomous Robot Enhanced Ad-Hoc Network under Uncertain and Vulnerable Environment. IEICE Trans. Commun. 102-B(10): 1925-1932 (2019) - [j36]Bo Li, Lijun Qian, Daji Qiao, Shihai Shao:
Editorial: MAC for the Next Generation Networks in Unlicensed Band. Mob. Networks Appl. 24(5): 1569-1571 (2019) - [j35]Shaolin Qiu, Lihong Qiu, Lijun Qian, Pierluigi Pisu:
Hierarchical energy management control strategies for connected hybrid electric vehicles considering efficiencies feedback. Simul. Model. Pract. Theory 90: 1-15 (2019) - [j34]Bo Yang, Xuelin Cao, Zhu Han, Lijun Qian:
A Machine Learning Enabled MAC Framework for Heterogeneous Internet-of-Things Networks. IEEE Trans. Wirel. Commun. 18(7): 3697-3712 (2019) - [c92]Xishuang Dong, Hsiang-Huang Wu, Yuzhong Yan, Lijun Qian:
Hierarchical Transfer Convolutional Neural Networks for Image Classification. IEEE BigData 2019: 2817-2825 - [c91]Joshua Bassey, Damilola Adesina, Xiangfang Li, Lijun Qian, Alexander J. Aved, Timothy S. Kroecker:
Intrusion Detection for IoT Devices based on RF Fingerprinting using Deep Learning. FMEC 2019: 98-104 - [c90]Xuelin Cao, Zuxun Song, Bo Yang, Xunsheng Du, Lijun Qian, Zhu Han:
Deep Reinforcement Learning MAC for Backscatter Communications Relying on Wi-Fi Architecture. GLOBECOM 2019: 1-6 - [c89]Bo Yang, Xuelin Cao, Joshua Bassey, Xiangfang Li, Timothy S. Kroecker, Lijun Qian:
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach. ICC 2019: 1-6 - [c88]Joshua Bassey, Xiangfang Li, Lijun Qian:
An Experimental Study of Multi-Layer Multi-Valued Neural Network. ICDIS 2019: 233-236 - [c87]Xuelin Cao, Zuxun Song, Bo Yang, Mohamed A. ElMossallamy, Lijun Qian, Zhu Han:
A Distributed MAC Using Wi-Fi to Assist Sporadic Backscatter Communications. INFOCOM Workshops 2019: 780-785 - [c86]Bo Yang, Xuelin Cao, Xiangfang Li, Timothy S. Kroecker, Lijun Qian:
Joint Communication and Computing Optimization for Hierarchical Machine Learning Tasks Distribution. ISCC 2019: 1-6 - [c85]Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian:
Rumor Detection on Time-Series of Tweets via Deep Learning. MILCOM 2019: 1-7 - [c84]Damilola Adesina, Olutobi Adagunodo, Xishuang Dong, Lijun Qian:
Aircraft Location Prediction using Deep Learning. MILCOM 2019: 127-132 - [c83]Damilola Adesina, Joshua Bassey, Lijun Qian:
Practical Radio Frequency Learning for Future Wireless Communication Systems. MILCOM 2019: 311-317 - [c82]Zejian Zhou, Lijun Qian, Hao Xu:
Intelligent Decentralized Dynamic Power Allocation in MANET at Tactical Edge based on Mean-Field Game Theory. MILCOM 2019: 604-609 - [i2]Xishuang Dong, Uboho Victor, Shanta Chowdhury, Lijun Qian:
Deep Two-path Semi-supervised Learning for Fake News Detection. CoRR abs/1906.05659 (2019) - 2018
- [j33]Shanta Chowdhury, Xishuang Dong, Lijun Qian, Xiangfang Li, Yi Guan, Jinfeng Yang, Qiubin Yu:
A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records. BMC Bioinform. 19-S(17): 75-84 (2018) - [j32]Hossein Jafari, Xiangfang Li, Lijun Qian, Alexander J. Aved, Timothy S. Kroecker:
Big uncertain data of multiple sensors efficient processing with high order multi-hypothesis: an evidence theoretic approach. Int. J. Big Data Intell. 5(3): 177-190 (2018) - [j31]Guotao Xie, Hongbo Gao, Bin Huang, Lijun Qian, Jianqiang Wang:
A Driving Behavior Awareness Model based on a Dynamic Bayesian Network and Distributed Genetic Algorithm. Int. J. Comput. Intell. Syst. 11(1): 469-482 (2018) - [j30]Bo Li, Lijun Qian, Shihai Shao:
Editorial: Won5G: New Waveform, Non-Orthogonal Multiple Access, and Networking for 5G. Mob. Networks Appl. 23(4): 1006-1007 (2018) - [j29]Wasiu Opeyemi Oduola, Xiangfang Li, Chang Duan, Lijun Qian, Edward R. Dougherty:
Sequential Therapeutic Response Modeling for Tumor Treatment Using Computational Hybrid Control Systems Approach. IEEE Trans. Biomed. Eng. 65(4): 866-874 (2018) - [j28]Jingyi Wang, Sai Mounika Errapotu, Yanmin Gong, Lijun Qian, Riku Jäntti, Miao Pan, Zhu Han:
Data-Driven Optimization Based Primary Users' Operational Privacy Preservation. IEEE Trans. Cogn. Commun. Netw. 4(2): 357-367 (2018) - [j27]Guotao Xie, Hongbo Gao, Lijun Qian, Bin Huang, Keqiang Li, Jianqiang Wang:
Vehicle Trajectory Prediction by Integrating Physics- and Maneuver-Based Approaches Using Interactive Multiple Models. IEEE Trans. Ind. Electron. 65(7): 5999-6008 (2018) - [c81]Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian:
Multiple Time-Series Data Analysis for Rumor Detection on Social Media. IEEE BigData 2018: 4413-4419 - [c80]Chandra Mouli Madhav Kotteti, Xishuang Dong, Na Li, Lijun Qian:
Fake News Detection Enhancement with Data Imputation. DASC/PiCom/DataCom/CyberSciTech 2018: 187-192 - [c79]Joshua Bassey, Xiangfang Li, Lijun Qian, Alexander J. Aved, Timothy S. Kroecker:
Efficient Computing of Dempster-Shafer Theoretic Conditionals for Big Hard/Soft Data Fusion. FUSION 2018: 643-650 - [c78]Samuel Oludare Bamgbose, Xiangfang Li, Lijun Qian:
Neural Network Optimized Controller for Motion and Position Control in Autonomous Systems. ICCA 2018: 823-828 - [c77]Remilekun Sobayo, Hsiang-Huang Wu, Ram L. Ray, Lijun Qian:
Integration of Convolutional Neural Network and Thermal Images into Soil Moisture Estimation. ICDIS 2018: 207-210 - [c76]Ming Feng, Lijun Qian, Hao Xu:
Multi-Robot Enhanced MANET Intelligent Routing at Uncertain and Vulnerable Tactical Edge. MILCOM 2018: 1-9 - [c75]Hossein Jafari, Oluwaseyi Omotere, Damilola Adesina, Hsiang-Huang Wu, Lijun Qian:
IoT Devices Fingerprinting Using Deep Learning. MILCOM 2018: 1-9 - [c74]Oluwaseyi Omotere, John Fuller, Lijun Qian, Zhu Han:
Spectrum Occupancy Prediction in Coexisting Wireless Systems Using Deep Learning. VTC Fall 2018: 1-7 - [c73]Bo Yang, Xuelin Cao, Lijun Qian:
A Scalable MAC Framework for Internet of Things Assisted by Machine Learning. VTC Fall 2018: 1-5 - [i1]Xishuang Dong, Hsiang-Huang Wu, Yuzhong Yan, Lijun Qian:
Hierarchical Transfer Convolutional Neural Networks for Image Classification. CoRR abs/1804.00021 (2018) - 2017
- [j26]Hossein Jafari, Xiangfang Li, Lijun Qian, Alexander J. Aved, Timothy S. Kroecker:
Multisensor change detection on the basis of big time-series data and Dempster-Shafer theory. Concurr. Comput. Pract. Exp. 29(17) (2017) - [j25]Xiangfang Li, Oluwaseyi Omotere, Lijun Qian, Edward R. Dougherty:
Review of stochastic hybrid systems with applications in biological systems modeling and analysis. EURASIP J. Bioinform. Syst. Biol. 2017: 8 (2017) - [j24]Lijun Qian, Jinkang Zhu, Sihai Zhang:
Survey of wireless big data. J. Commun. Inf. Networks 2(1): 1-18 (2017) - [j23]Yifan Wang, Husheng Li, Lijun Qian:
Belief Propagation and Quickest Detection-Based Cooperative Spectrum Sensing in Heterogeneous and Dynamic Environments. IEEE Trans. Wirel. Commun. 16(11): 7446-7459 (2017) - [c72]Xishuang Dong, Lijun Qian, Lei Huang:
Short-term load forecasting in smart grid: A combined CNN and K-means clustering approach. BigComp 2017: 119-125 - [c71]Jingyi Wang, Yanmin Gong, Lijun Qian, Riku Jaentti, Miao Pan, Zhu Han:
Primary Users' Operational Privacy Preservation via Data-Driven Optimization. GLOBECOM 2017: 1-6 - [c70]Samuel Oludare Bamgbose, Xiangfang Li, Lijun Qian:
Closed loop control of blood glucose level with neural network predictor for diabetic patients. Healthcom 2017: 1-6 - [c69]Xishuang Dong, Shanta Chowdhury, Lijun Qian, Yi Guan, Jinfeng Yang, Qiubin Yu:
Transfer bi-directional LSTM RNN for named entity recognition in Chinese electronic medical records. Healthcom 2017: 1-4 - [c68]Oluwaseyi Omotere, Lijun Qian, Riku Jäntti, Miao Pan, Zhu Han:
Big RF Data Assisted Cognitive Radio Network Coexistence in 3.5GHz Band. ICCCN 2017: 1-8 - [c67]Xishuang Dong, Lijun Qian, Lei Huang:
A CNN based bagging learning approach to short-term load forecasting in smart grid. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - [c66]Ibrahim L. Olokodana, Yonghui Wang, Lijun Qian:
Advanced Data Processing for Communication-constrained Underwater Domain. WUWNet 2017: 14:1-14:8 - 2016
- [j22]Joseph Kamto, Lijun Qian, Wei Li, Zhu Han:
λ-Augmented Tree for Robust Data Collection in Advanced Metering Infrastructure. Int. J. Distributed Sens. Networks 12: 9821289:1-9821289:13 (2016) - [j21]Lijun Qian, Zhu Han, Yuanzhu Chen, Chenren Xu, Deepak Kataria:
Smart device enabled sensor networks: Theory and practice. Int. J. Distributed Sens. Networks 12(8) (2016) - [c65]Wasiu Opeyemi Oduola, Xiangfang Li, Chang Duan, Lijun Qian, Fen Wu, Edward R. Dougherty:
Analysis and control of genetic regulatory systems with switched drug inputs. BHI 2016: 533-536 - [c64]Hossein Jafari, Xiangfang Li, Lijun Qian:
Efficient Processing of Uncertain Data Using Dezert-Smarandache Theory: A Case Study. DASC/PiCom/DataCom/CyberSciTech 2016: 715-722 - [c63]Oluwaseyi Omotere, Wasiu Opeyemi Oduola, Nan Zou, Xiangfang Li, Lijun Qian, Deepak Kataria:
Distributed spectrum monitoring and surveillance using a cognitive radio based testbed. Sarnoff Symposium 2016: 100-105 - 2015
- [j20]Lijun Qian, Oluwaseyi Omotere, Riku Jäntti:
Performance Analysis on the Coexistence of Multiple Cognitive Radio Networks. EAI Endorsed Trans. Cogn. Commun. 1(2): e1 (2015) - [j19]Ahsan-Abbas Ali, Shuangqing Wei, Lijun Qian:
Optimal admission and preemption control in finite-source loss systems. Oper. Res. Lett. 43(3): 241-246 (2015) - [c62]Ahsan-Abbas Ali, Shuangqing Wei, Lijun Qian:
Optimal call admission and preemption control for public safety communications. CISS 2015: 1-6 - [c61]Samuel Oludare Bamgbose, Yongpeng Zhang, Lijun Qian:
Three-phase inverter synchronization control utilizing internal model principle. ICCE 2015: 439-442 - [c60]Andrew Pawloski, Longfei Wu, Xiaojiang Du, Lijun Qian:
A practical approach to the attestation of computational integrity in hybrid cloud. ICNC 2015: 72-76 - [c59]Samuel Oludare Bamgbose, Yongpeng Zhang, Lijun Qian:
Robust controller design and analysis for distributed three-phase inverter voltage tracking. ICIA 2015: 2031-2036 - [c58]Hossein Jafari, Xiangfang Li, Lijun Qian, Yuanzhu Chen:
Community based sensing: A test bed for environment air quality monitoring using smartphone paired sensors. Sarnoff Symposium 2015: 12-17 - [c57]Wasiu Opeyemi Oduola, Nnaemeka Okafor, Oluwaseyi Omotere, Lijun Qian, Deepak Kataria:
Experimental study of hierarchical Software Defined Radio controlled Wireless Sensor Network. Sarnoff Symposium 2015: 18-23 - [c56]Fahira Sangare, Ali Arab, Miao Pan, Lijun Qian, Suresh K. Khator, Zhu Han:
RF energy harvesting for WSNs via dynamic control of unmanned vehicle charging. WCNC 2015: 1291-1296 - [c55]Joseph Kamto, Lijun Qian, Wei Li, Zhu Han:
Biconnected tree for robust data collection in advanced metering infrastructure. WCNC 2015: 1713-1718 - 2014
- [j18]Husheng Li, Aleksandar D. Dimitrovski, Ju Bin Song, Zhu Han, Lijun Qian:
Communication Infrastructure Design in Cyber Physical Systems with Applications in Smart Grids: A Hybrid System Framework. IEEE Commun. Surv. Tutorials 16(3): 1689-1708 (2014) - [j17]Lanchao Liu, Zhu Han, Zhiqiang Wu, Lijun Qian:
Spectrum Sensing and Primary User Localization in Cognitive Radio Networks via Sparsity. EAI Endorsed Trans. Wirel. Spectr. 1(1): e2 (2014) - [j16]CaLynna Sorrells, Lijun Qian:
Quickest Detection of Denial-of-Service Attacks in Cognitive Wireless Networks. Int. J. Netw. Secur. 16(6): 468-476 (2014) - [j15]Paul Potier, CaLynna Sorrells, Yonghui Wang, Lijun Qian, Husheng Li:
Spectrum inpainting: a new framework for spectrum status determination in large cognitive radio networks. Wirel. Networks 20(3): 423-439 (2014) - [c54]Wasiu Opeyemi Oduola, Lijun Qian, Xiangfang Li:
Femtocell as a relay with application of physical layer network coding. CCNC 2014: 513-518 - [c53]Oluwaseyi Omotere, Lijun Qian, Riku Jäntti:
Performance bounds of prioritized access in coexisting cognitive radio networks. CrownCom 2014: 197-202 - [c52]Xiangfang Lindsey Li, Sunday Ogedengbe, Lijun Qian, Edward R. Dougherty:
Sensitivity analysis for drug effect study: An NF-κB pathway example. GlobalSIP 2014: 1418-1421 - [c51]Wasiu Opeyemi Oduola, Xiangfang Li, Lijun Qian, Zhu Han:
Power control for device-to-device communications as an underlay to cellular system. ICC 2014: 5257-5262 - [c50]Nan Zou, Lijun Qian, Husheng Li:
Auxiliary frequency and voltage regulation in microgrid via intelligent electric vehicle charging. SmartGridComm 2014: 662-667 - [c49]Ojemba Babatundi, Lijun Qian, Julian Cheng:
Downlink scheduling in visible light communications. WCSP 2014: 1-6 - 2013
- [j14]Paul Potier, Lijun Qian:
Management of cognitive radio ad hoc networks using a congestion-based metric. Int. J. Netw. Manag. 23(5): 325-349 (2013) - [j13]Lijun Qian, Xiangfang Li, Shuangqing Wei:
Anomaly Spectrum Us