Publications

@article{10.1145/3589347,

title = {Pi-ViMo: Physiology-Inspired Robust Vital Sign Monitoring Using MmWave Radars},

author = {Bo Zhang and Boyu Jiang and Rong Zheng and Xiaoping Zhang and Jun Li and Qiang Xu},

url = {https://doi.org/10.1145/3589347},

doi = {10.1145/3589347},

issn = {2691-1914},

year  = {2023},

date = {2023-05-01},

journal = {ACM Trans. Internet Things},

volume = {4},

number = {2},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

abstract = {Continuous monitoring of human vital signs using non-contact mmWave radars is attractive due to their ability to penetrate garments and operate under different lighting conditions. Unfortunately, most prior research requires subjects to stay at a fixed distance from radar sensors and to remain still during monitoring. These restrictions limit the applications of radar vital sign monitoring in real life scenarios. In this article, we address these limitations and present Pi-ViMo, a non-contact Physiology-inspired Robust Vital Sign Monitoring system, using mmWave radars. We first derive a multi-scattering point model for the human body, and introduce a coherent combining of multiple scatterings to enhance the quality of estimated chest-wall movements. It enables vital sign estimations of subjects at any location in a radar’s field of view (FoV). We then propose a template matching method to extract human vital signs by adopting physical models of respiration and cardiac activities. The proposed method is capable to separate respiration and heartbeat in the presence of micro-level random body movements (RBM) when a subject is at any location within the field of view of a radar. Experiments in a radar testbed show average respiration rate errors of 6% and heart rate errors of 11.9% for the stationary subjects, and average errors of 13.5% for respiration rate and 13.6% for heart rate for subjects under different RBMs.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Feasibility, Usability, and Acceptability of Online Mind–Body Exercise Programs for Older Adults: A Scoping Review},

author = {Gravesande, Janelle and Almeida de Oliveira, Lisandra and Malik, Natasha and Vrkljan, Brenda and Zheng, Rong and Gardner, Paula M. and Carlesso, Lisa C}},

url = {https://doi.org/10.1089/jicm.2022.0822},

doi = {10.1089/jicm.2022.0822},

year  = {2023},

date = {2023-03-21},

journal = {Journal of Integrative and Complementary Medicine},

note = {PMID: 36944159},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1145/3577201,

title = {IMF2O2: A Fully Connected Sensor Deployment Algorithm for Underwater Sensor Networks},

author = {Na Xia and Yin Wang and Bin Chen and Huazheng Du and Chaonong Xu and Rong Zheng},

url = {https://doi.org/10.1145/3577201},

doi = {10.1145/3577201},

issn = {1550-4859},

year  = {2023},

date = {2023-03-01},

journal = {ACM Trans. Sen. Netw.},

volume = {19},

number = {3},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

abstract = {To address the problems of node deployment schemes in existing underwater sensor networks that lack consideration of network connectivity and high deployment costs, this article constructs an optimization model that maximizes network coverage and minimizes deployment costs while ensuring full connectivity. For the NP-hard property of this optimization model, an improved moth flame optimization node deployment algorithm based on fuzzy operators (IMF2O2) is proposed. First, comprehensively considering the two performance metrics of network coverage and network connectivity, a multi-objective selection mechanism based on fuzzy operators is proposed to improve network coverage while ensuring full connectivity. Second, a fixed number of nodes are used to monitor the target event points, transforming the node deployment of sensors into an optimal problem and proposing an improved moth flame optimization algorithm to solve this problem. Finally, the two metrics of coverage and deployment cost are measured and the fuzzy operator is used to select the optimal number of nodes to be deployed. Numerical results showed that the proposed algorithm improved network coverage rate by 10%, 22%, and 25%, and improved network connectivity rate by 12%, 20%, and 8% as compared to PSSD, RAWS, and VODA, respectively, while ensuring full connectivity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10138611,

title = {DeepBSL: 3D Personalized Deep Binaural Sound Localization on Earable Devices},

author = {Awny M. El-Mohandes and Navid H. Zandi and Rong Zheng},

doi = {10.1109/JIOT.2023.3281128},

year  = {2023},

date = {2023-01-01},

journal = {IEEE Internet of Things Journal},

pages = {1-1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9468341,

title = {Acoustic Software Defined Platform: A Versatile Sensing and General Benchmarking Platform},

author = {Chao Cai and Henglin Pu and Menglan Hu and Rong Zheng and Jun Luo},

doi = {10.1109/TMC.2021.3093259},

year  = {2023},

date = {2023-01-01},

journal = {IEEE Transactions on Mobile Computing},

volume = {22},

number = {2},

pages = {647-660},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9992037,

title = {CROMOSim: A Deep Learning-Based Cross-Modality Inertial Measurement Simulator},

author = {Yujiao Hao and Xijian Lou and Boyu Wang and Rong Zheng},

doi = {10.1109/TMC.2022.3230370},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Transactions on Mobile Computing},

pages = {1-12},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9272371,

title = {A Reinforcement Learning Framework for Efficient Informative Sensing},

author = {Yongyong Wei and Rong Zheng},

doi = {10.1109/TMC.2020.3040945},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Transactions on Mobile Computing},

volume = {21},

number = {7},

pages = {2306-2317},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9762836,

title = {Multiple-Target Localization by Millimeter-Wave Radars With Trapezoid Virtual Antenna Arrays},

author = {Wei Zhao and Jian-Kang Zhang and Xiao-Ping Zhang and Rong Zheng},

doi = {10.1109/JIOT.2022.3167916},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Internet of Things Journal},

volume = {9},

number = {20},

pages = {19589-19598},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9731802,

title = {Rethinking Doppler Effect for Accurate Velocity Estimation With Commodity WiFi Devices},

author = {Kai Niu and Xuanzhi Wang and Fusang Zhang and Rong Zheng and Zhiyun Yao and Daqing Zhang},

doi = {10.1109/JSAC.2022.3155523},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Journal on Selected Areas in Communications},

volume = {40},

number = {7},

pages = {2164-2178},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9449917,

title = {Efficient Wi-Fi Fingerprint Crowdsourcing for Indoor Localization},

author = {Yongyong Wei and Rong Zheng},

doi = {10.1109/JSEN.2021.3087954},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Sensors Journal},

volume = {22},

number = {6},

pages = {5055-5062},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9372813,

title = {Invariant Feature Learning for Sensor-Based Human Activity Recognition},

author = {Yujiao Hao and Rong Zheng and Boyu Wang},

doi = {10.1109/TMC.2021.3064252},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Transactions on Mobile Computing},

volume = {21},

number = {11},

pages = {4013-4024},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9325082,

title = {Boosting Chirp Signal Based Aerial Acoustic Communication Under Dynamic Channel Conditions},

author = {Chao Cai and Zhe Chen and Jun Luo and Henglin Pu and Menglan Hu and Rong Zheng},

doi = {10.1109/TMC.2021.3051665},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Transactions on Mobile Computing},

volume = {21},

number = {9},

pages = {3110-3121},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9693416b,

title = {Ubiquitous Acoustic Sensing on Commodity IoT Devices: A Survey},

author = {Chao Cai and Rong Zheng and Jun Luo},

doi = {10.1109/COMST.2022.3145856},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Communications Surveys & Tutorials},

volume = {24},

number = {1},

pages = {432-454},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9693416,

title = {Ubiquitous Acoustic Sensing on Commodity IoT Devices: A Survey},

author = {Chao Cai and Rong Zheng and Jun Luo},

doi = {10.1109/COMST.2022.3145856},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Communications Surveys & Tutorials},

volume = {24},

number = {1},

pages = {432-454},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Optimal Design of LEMoNet for Environmental Monitoring of Data Centers},

author = {Jafarizadeh, Mehdi and Zheng, Rong},

doi = {10.1109/TGCN.2021.3100592},

year  = {2021},

date = {2021-07-28},

urldate = {2021-07-28},

journal = {IEEE Transactions on Green Communications and Networking},

volume = {5},

number = {4},

pages = {1820-1832},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {A data-driven approach to simultaneous fault detection and diagnosis in data centers},

author = {Sahar Asgari and Rohit Gupta and Ishwar K. Puri and Rong Zheng},

url = {https://www.sciencedirect.com/science/article/pii/S1568494621005597},

doi = {{https://doi.org/10.1016/j.asoc.2021.107638},

issn = {1568-4946},

year  = {2021},

date = {2021-06-29},

urldate = {2021-06-29},

journal = {Applied Soft Computing},

volume = {110},

pages = {107638},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {MotionBeep: Enabling Fitness Game for Collocated Players With Acoustic-Enabled IoT Devices},

author = {Jin, Ruinan and Cai, Chao and Deng, Tianping and Li, Qingxia and Zheng, Rong},

doi = {10.1109/JIOT.2021.3050436},

year  = {2021},

date = {2021-01-11},

urldate = {2021-01-11},

journal = {IEEE Internet of Things Journal},

volume = {8},

number = {13},

pages = {10755-10765},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{hao2021invariant,

title = {Invariant Feature Learning for Sensor-based Human Activity Recognition},

author = {Yujiao Hao and Rong Zheng and Boyu Wang},

year  = {2021},

date = {2021-01-01},

journal = {IEEE Transactions on Mobile Computing},

publisher = {https://www.computer.org/csdl/journal/tm/5555/01/09372813/1rNOAHkzXKE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{jin2021motionbeep,

title = {MotionBeep: Enabling Fitness Game for Collocated Players with Acoustic-enabled IoT Devices},

author = {Ruinan Jin and Chao Cai and Tianping Deng and Qingxia Li and Rong Zheng},

year  = {2021},

date = {2021-01-01},

journal = {IEEE Internet of Things Journal},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{cai2021boosting,

title = {Boosting Chirp Signal Based Aerial Acoustic Communication under Dynamic Channel Conditions},

author = {Chao Cai and Chen Zhe and Jun Luo and Henglin Pu and Menglan Hu and Rong Zheng},

year  = {2021},

date = {2021-01-01},

journal = {IEEE Transactions on Mobile Computing},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pu2021towards,

title = {Towards Robust Multiple Blind Source Localization Using Source Separation and Beamforming},

author = {Henglin Pu and Chao Cai and Menglan Hu and Tianping Deng and Rong Zheng and Jun Luo},

year  = {2021},

date = {2021-01-01},

journal = {Sensors},

volume = {21},

number = {2},

pages = {532},

publisher = {Multidisciplinary Digital Publishing Institute},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el2021active,

title = {Active Matching Circuit to Enhance the Generated Power of Triboelectric Nanogenerators},

author = {Awny M El-Mohandes and Rong Zheng},

year  = {2021},

date = {2021-01-01},

journal = {Nano Energy},

volume = {80},

pages = {105588},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{asgari2021hybrid,

title = {Hybrid Surrogate Model for Online Temperature and Pressure Predictions in Data Centers},

author = {Sahar Asgari and Hosein Moazamigoodarzi and Peiying Jennifer Tsai and Souvik Pal and Rong Zheng and Ghada Badawy and Ishwar K Puri},

year  = {2021},

date = {2021-01-01},

journal = {Future Generation Computer Systems},

volume = {114},

pages = {531--547},

publisher = {North-Holland},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{wei2020informative,

title = {Informative Path Planning for Location Fingerprint Collection},

author = {Yongyong Wei and Cristian Frincu and Rong Zheng},

year  = {2020},

date = {2020-01-01},

journal = {IEEE Transactions on Network Science and Engineering},

volume = {7},

number = {3},

pages = {1633--1644},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{cai2020sst,

title = {SST: Software sonic thermometer on acoustic-enabled IoT devices},

author = {Chao Cai and Henglin Pu and Menglan Hu and Rong Zheng and Jun Luo},

year  = {2020},

date = {2020-01-01},

journal = {IEEE Transactions on Mobile Computing},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{tang2020introduction,

title = {Introduction to the Special Section on Learning-Based Modeling, Management, and Control for Computer and Communication Networks},

author = {Jian Tang and Rong Zheng and Ozgur B Akan and Weiyi Zhang},

year  = {2020},

date = {2020-01-01},

journal = {IEEE Transactions on Network Science and Engineering},

volume = {7},

number = {1},

pages = {153--154},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fang2020cachenet,

title = {CacheNet: A model caching framework for deep learning inference on the edge},

author = {Yihao Fang and Shervin Manzuri Shalmani and Rong Zheng},

year  = {2020},

date = {2020-01-01},

journal = {arXiv preprint arXiv:2007.01793},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{wei2020reinforcement,

title = {A Reinforcement Learning Framework for Efficient Informative Sensing},

author = {Yongyong Wei and Rong Zheng},

year  = {2020},

date = {2020-01-01},

journal = {IEEE Transactions on Mobile Computing},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{asgari2020gray,

title = {A Gray-box Model for Real-time Transient Temperature Predictions in Data Centers},

author = {Sahar Asgari and SeyedMorteza MirhoseiniNejad and Hosein Moazamigoodarzi and Rohit Gupta and Rong Zheng and Ishwar K Puri},

year  = {2020},

date = {2020-01-01},

journal = {Applied Thermal Engineering},

pages = {116319},

publisher = {Pergamon},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{shaabana2019cronos,

title = {CRONOS: A Post-hoc Data-Driven Multi-Sensor Synchronization Approach},

author = {Ala Shaabana and Rong Zheng},

year  = {2019},

date = {2019-01-01},

journal = {ACM Transactions on Sensor Networks (TOSN)},

volume = {15},

number = {3},

keywords = {},

pubstate = {published},

tppubtype = {article}

}