Publications | Yaxiong Xie

An up-to-date list is available on Google Scholar.

2025

MobiCom

From Signal-based to Impedance-based Sensing: A Paradigm Shift for Plug-and-Play, Mobile, and Sensitive Battery-free Sensing

Liyao Li, Yun Wu, Minsung Kim, Bozho Shang, Jie Xiong, Wenyao Xu, Xiaojiang Chen, and Yaxiong Xie

In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2025

Bib

@inproceedings{ohmScanner,
  author = {Li, Liyao and Wu, Yun and Kim, Minsung and Shang, Bozho and Xiong, Jie and Xu, Wenyao and Chen, Xiaojiang and Xie, Yaxiong},
  title = {From Signal-based to Impedance-based Sensing: A Paradigm Shift for Plug-and-Play, Mobile, and Sensitive Battery-free Sensing},
  booktitle = {Proceedings of the 30th Annual International Conference on Mobile Computing and Networking},
  year = {2025},
  series = {ACM MobiCom},
}

2024

NSDI

Cyclops: A Nanomaterial-based, Battery-Free Intraocular Pressure (IOP) Monitoring System inside Contact Lens

Liyao Li, Bozhao Shang, Yun Wu, Jie Xiong, Xiaojiang Chen, and Yaxiong Xie

In 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24), 2024

Bib

@inproceedings{Cyclops,
  author = {Li, Liyao and Shang, Bozhao and Wu, Yun and Xiong, Jie and Chen, Xiaojiang and Xie, Yaxiong},
  title = {Cyclops: A Nanomaterial-based, {Battery-Free} Intraocular Pressure ({IOP}) Monitoring System inside Contact Lens},
  booktitle = {21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24)},
  year = {2024},
  isbn = {978-1-939133-39-7},
  address = {Santa Clara, CA},
  pages = {1659--1675},
  url = {https://www.usenix.org/conference/nsdi24/presentation/li-liyao},
  publisher = {USENIX Association},
}

CoNEXT
WaveFlex: A Smart Surface for Private 5G CBRS Networks

Fan Yi, Kun Woo Cho, Yaxiong Xie, and Kyle Jamieson

Proc. ACM Netw., Nov 2024

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We present the design and implementation of WaveFlex, the first smart surface that enhances Private 5G networks operating under the shared-license framework in the Citizens Broadband Radio Service frequency band. WaveFlex works in the presence of frequency diversity: multiple nearby base stations operating on different frequencies, as dictated by a Spectrum Access System coordinator. It also handles time dynamism: due to the dynamic sharing rules of the CBRS band, base stations occasionally switch channels, especially when priority users enter the network. Finally, WaveFlex operates independently of the network itself, not requiring access to nor modification of the gNB or UEs, yet it remains compliant with and effective on prevailing cellular protocols. We have designed and fabricated WaveFlex on a custom multi-layer PCB, software defined radio based network monitor, and supporting control software and hardware. Our experimental evaluation benchmarks operational Private 5G and LTE networks running at full line rate. In a realistic indoor office scenario, 5G experimental results demonstrate an 8.58 dB average SNR gain, and an average throughput gain of 10.77 Mbps under a single gNB, and 12.84 Mbps under three gNBs, corresponding to throughput improvements of 18.4% and 19.5%, respectively.
@article{WaveFlex, author = {Yi, Fan and Cho, Kun Woo and Xie, Yaxiong and Jamieson, Kyle}, title = {WaveFlex: A Smart Surface for Private 5G CBRS Networks}, year = {2024}, issue_date = {December 2024}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, volume = {2}, number = {CoNEXT4}, url = {https://doi.org/10.1145/3696394}, doi = {10.1145/3696394}, journal = {Proc. ACM Netw.}, month = nov, articleno = {37}, numpages = {21}, keywords = {5G network, beamforming, metasurface, smart surface}, }
HotNets
Athena: Seeing and Mitigating Wireless Impact on Video Conferencing and Beyond

Fan Yi, Haoran Wan, Kyle Jamieson, Jennifer Rexford, Yaxiong Xie, and Oliver Michel

In Proceedings of the 23rd ACM Workshop on Hot Topics in Networks, Nov 2024

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Rapid delay variations in today’s access networks impair the QoE of low-latency, interactive applications, such as video conferencing. To tackle this problem, we propose Athena, a framework that correlates high-resolution measurements from Layer 1 to Layer 7 to remove the fog from the window through which today’s video-conferencing congestion-control algorithms see the network. This cross-layer view of the network empowers the networking community to revisit and re-evaluate their network designs and application scheduling and rate-adaptation algorithms in light of the complex, heterogeneous networks that are in use today, paving the way for network-aware applications and application-aware networks.
@inproceedings{Athena, author = {Yi, Fan and Wan, Haoran and Jamieson, Kyle and Rexford, Jennifer and Xie, Yaxiong and Michel, Oliver}, title = {Athena: Seeing and Mitigating Wireless Impact on Video Conferencing and Beyond}, year = {2024}, isbn = {9798400712722}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3696348.3696889}, doi = {10.1145/3696348.3696889}, booktitle = {Proceedings of the 23rd ACM Workshop on Hot Topics in Networks}, pages = {103–110}, numpages = {8}, keywords = {5G Networks, Network Measurement, Video Conferencing}, location = {Irvine, CA, USA}, series = {HotNets '24}, }
MobiCom
Hydra: Attacking OFDM-base Communication System via Metasurfaces Generated Frequency Harmonics

Yangfan Zhang, Yaxiong Xie, Zhihao Hui, Hao Jia, and Xiaojiang Chen

In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, Nov 2024

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While Reconfigurable Intelligent Surfaces (RIS) have been shown to enhance OFDM communication performance, this paper unveils a potential security concern arising from widespread RIS deployment. Malicious actors could exploit vulnerabilities to hijack or deploy rogue RIS, transforming them from communication boosters into attackers. We present a novel attack that disrupts the critical orthogonality property of OFDM subcarriers, severely degrading communication performance. This attack is achieved by manipulating the RIS to generate frequency-shifted reflections/harmonics of the original OFDM signal. We also propose algorithms to simultaneously beamform the multiple RIS-generated frequency-shifted reflections towards selected targets. Extensive experiments conducted in indoor, outdoor, 3D, and office settings demonstrate that Hydra can achieve a 90% throughput reduction in targeted attack scenarios and a 43% throughput reduction in indiscriminate attack scenarios. Furthermore, we validated the effectiveness of our attacks on both the 802.11 protocol and the 5G NR protocol.
@inproceedings{Hydra, author = {Zhang, Yangfan and Xie, Yaxiong and Hui, Zhihao and Jia, Hao and Chen, Xiaojiang}, title = {Hydra: Attacking OFDM-base Communication System via Metasurfaces Generated Frequency Harmonics}, year = {2024}, booktitle = {Proceedings of the 30th Annual International Conference on Mobile Computing and Networking}, series = {ACM MobiCom}, }
MobiCom
Pushing the Throughput Limit of OFDM-based Wi-Fi Backscatter Communication

Qihui Qin, Kai Chen, Yaxiong Xie, Heng Luo, Dingyi Fang, and Xiaojiang Chen

In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, Nov 2024

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The majority of existing Wi-Fi backscatter systems transmit tag data at rates lower than 250 kbps, as the tag data is modulated at OFDM symbol level, allowing for demodulation using commercial Wi-Fi receivers. However, it is necessary to modulate tag data at OFDM sample level to satisfy the requirements for higher throughput. A comprehensive theoretical analysis and experimental investigation conducted in this paper demonstrates that demodulating sample-level modulated tag data using commercial Wi-Fi receivers is unattainable due to excessive computational overhead and demodulation errors. This is because the significant tag information dispersion, loss, and shuffling are caused by Wi-Fi physical layer operations. We conclude that the optimal position for demodulation is the time-domain IQ samples, which do not undergo any Wi-Fi physical layer operations and preserve the intact, ordered, and undispersed information of tag-modulated data, thereby minimizing complexity and maximizing accuracy.We devise a demodulation algorithm using time domain IQ samples and implement on two types of demodulator: a dual radio chain demodulator and a single radio chain demodulator. Experiments show that our demodulation algorithm not only decrease the BER by at least three orders of magnitude, but also reduces the time complexity from exponential to linear. It achieves a tag data rate of up to 10 Mbps with QPSK modulation and a BER at 10-4 for the dual radio chain demodulator, and a tag data rate of up to 1 Mbps with BPSK and a BER at 10-4 for the single radio demodulator. We believe our results pave the way for designing Wi-Fi backscatter system with extremely high throughput.
@inproceedings{wifibackscatter, author = {Qin, Qihui and Chen, Kai and Xie, Yaxiong and Luo, Heng and Fang, Dingyi and Chen, Xiaojiang}, title = {Pushing the Throughput Limit of OFDM-based Wi-Fi Backscatter Communication}, year = {2024}, isbn = {9798400704895}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3636534.3690672}, doi = {10.1145/3636534.3690672}, booktitle = {Proceedings of the 30th Annual International Conference on Mobile Computing and Networking}, pages = {968–983}, numpages = {16}, keywords = {IoT, wi-fi backscatter, high throughput backscatter, wireless communication system}, location = {Washington D.C., DC, USA}, series = {ACM MobiCom 24}, }
MobiCom
Hornbill: A Portable, Touchless, and Battery-Free Electrochemical Bio-tag for Multi-pesticide Detection

Guorong He, Yaxiong Xie, Chao Zheng, Longlong Zhang, Qi Wu, Wenyan Zhang, Dan Xu, and Xiaojiang Chen

In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, Nov 2024

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Pesticide overuse poses significant risks to human health and environmental integrity. Addressing the limitations of existing approaches, which struggle with the diversity of pesticide compounds, portability issues, and environmental sensitivity, this paper introduces Hornbill. A wireless and battery-free electrochemical bio-tag that integrates the advantages of NFC technology with electrochemical biosensors for portable, precise, and touchless multi-pesticide detection. The basic idea of Hornbill is comparing the distinct electrochemical responses between a pair of biological receptors and different pesticides to construct a unique set of feature fingerprints to make multi-pesticide sensing feasible. To incorporate this idea within small NFC tags, we reengineer the electrochemical sensor, spanning the antenna to the voltage regulator. Additionally, to improve the system’s sensitivity and environmental robustness, we carefully design the electrodes by combining microelectrode technology and materials science. Experiments with 9 different pesticides show that Hornbill achieves a mean accuracy of 93% in different concentration environments and its sensitivity and robustness surpass that of commercial electrochemical sensors.
@inproceedings{Hornbill, author = {He, Guorong and Xie, Yaxiong and Zheng, Chao and Zhang, Longlong and Wu, Qi and Zhang, Wenyan and Xu, Dan and Chen, Xiaojiang}, title = {Hornbill: A Portable, Touchless, and Battery-Free Electrochemical Bio-tag for Multi-pesticide Detection}, year = {2024}, isbn = {9798400704895}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3636534.3690693}, doi = {10.1145/3636534.3690693}, booktitle = {Proceedings of the 30th Annual International Conference on Mobile Computing and Networking}, pages = {1283–1298}, numpages = {16}, keywords = {NFC, embedded systems, electrochemical measurement, microelectrode technology, pesticide sensing}, location = {Washington D.C., DC, USA}, series = {ACM MobiCom '24}, }
MobiSys
Face Recognition In Harsh Conditions: An Acoustic Based Approach

Yanbo Zhang, Panrong Tong, Songfan Li, Yaxiong Xie, and Mo Li

In Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services, Nov 2024

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The accuracy of vision-based face recognition suffers in challenging scenarios, such as foggy or smoky weather, poor lighting, and blockage by objects like facial masks. This paper proposes an acoustic-based facial recognition system based on acoustic facial spectrum - a novel acoustic representation of human faces in 3D space. Specifically, we divide the 3D space into cubes and profile the distribution of the acoustic signal reflected by the human face inside each cube. Generating such a per-cube acoustic profile is challenging in relating each reflected signal path back to the physical location of its reflecting cube. To address the challenge, we propose a novel multipath resolving algorithm that is capable of distinguishing signal reflection happened within different cube. Based on the facial spectrum, we propose a discriminator-recognizer network that can robustly recognize human faces under varying face-microphone distances or even in presence of facial mask blockage. Extensive experimental results demonstrate that the proposed system achieves over 95% average recognition accuracy for cases with and without mask blockage. The research artifacts accompanying this paper are available via DOI: 10.5281/zenodo.11094213.
@inproceedings{AceFace, author = {Zhang, Yanbo and Tong, Panrong and Li, Songfan and Xie, Yaxiong and Li, Mo}, title = {Face Recognition In Harsh Conditions: An Acoustic Based Approach}, year = {2024}, isbn = {9798400705816}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3643832.3661855}, doi = {10.1145/3643832.3661855}, booktitle = {Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services}, pages = {1–14}, numpages = {14}, keywords = {acoustic sensing, face recognition, discriminator network}, location = {Minato-ku, Tokyo, Japan}, series = {MOBISYS '24}, }
MobiHoc
REHSense: Towards Battery-Free Wireless Sensing via Radio Frequency Energy Harvesting

Tao Ni, Zehua Sun, Mingda Han, Yaxiong Xie, Guohao Lan, Zhenjiang Li, Tao Gu, and Weitao Xu

In Proceedings of the Twenty-Fifth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Nov 2024

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Diverse Wi-Fi-based wireless applications have been proposed, ranging from daily activity recognition to vital sign monitoring. Despite their remarkable sensing accuracy, the high energy consumption and the requirement for customized hardware modification hinder the wide deployment of the existing sensing solutions. In this paper, we propose REHSense, an energy-efficient wireless sensing solution based on Radio-Frequency (RF) energy harvesting. Instead of relying on a power-hungry Wi-Fi receiver, REHSense leverages an RF energy harvester as the sensor and utilizes the voltage signals harvested from the ambient Wi-Fi signals to enable simultaneous context sensing and energy harvesting. We design and implement REHSense using a commercial-off-the-shelf (COTS) RF energy harvester. Extensive evaluation of three fine-grained wireless sensing tasks (i.e., respiration monitoring, human activity recognition, and hand gesture recognition) shows that REHSense can achieve comparable sensing accuracy with conventional Wi-Fi-based solutions while adapting to different sensing environments, reducing the power consumption of sensing by 98.7% and harvesting up to 4.5 mW of power from RF energy.
@inproceedings{REHSense, author = {Ni, Tao and Sun, Zehua and Han, Mingda and Xie, Yaxiong and Lan, Guohao and Li, Zhenjiang and Gu, Tao and Xu, Weitao}, title = {REHSense: Towards Battery-Free Wireless Sensing via Radio Frequency Energy Harvesting}, year = {2024}, isbn = {9798400705212}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3641512.3686388}, doi = {10.1145/3641512.3686388}, booktitle = {Proceedings of the Twenty-Fifth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing}, pages = {211–220}, numpages = {10}, keywords = {RF energy harvesting, battery-free, wireless sensing}, location = {Athens, Greece}, series = {MobiHoc '24}, }

2023

NSDI
Dashlet: Taming Swipe Uncertainty for Robust Short Video Streaming

Zhuqi Li, Yaxiong Xie, Netravali Ravi, and Kyle Jamieson

In USENIX Conference on Networked Systems Design and Implementation (NSDI), Nov 2023

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Short video streaming applications have recently gained substantial traction, but the non-linear video presentation they afford swiping users fundamentally changes the problem of maximizing user quality of experience in the face of the vagaries of network throughput and user swipe timing. This paper describes the design and implementation of Dashlet, a system tailored for high quality of experience in short video streaming applications. With the insights we glean from an in-the-wild TikTok performance study and a user study focused on swipe patterns, Dashlet proposes a novel out-of-order video chunk pre-buffering mechanism that leverages a simple, non machine learning-based model of users’ swipe statistics to determine the pre-buffering order and bitrate. The net result is a system that outperforms TikTok by 28-101%, while also reducing by 30% the number of bytes wasted on downloaded video that is never watched.
@inproceedings{Dashlet, author = {Li, Zhuqi and Xie, Yaxiong and Ravi, Netravali and Jamieson, Kyle}, title = {{Dashlet: Taming Swipe Uncertainty for Robust Short Video Streaming}}, year = {2023}, booktitle = {USENIX Conference on Networked Systems Design and Implementation (NSDI)}, series = {\textbf{NSDI}}, }
NSDI
RF-Bouncer: A Programmable Dual-band Metasurface for Sub-6 Wireless Networks

Xinyi Li, Chao Feng, Xiaojing Wang, Yangfan Zhang, Yaxiong Xie, and Xiaojiang Chen

In USENIX Conference on Networked Systems Design and Implementation (NSDI), Nov 2023

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Offloading the beamforming task from the endpoints to the metasurface installed in the propagation environment has attracted significant attention. Currently, most of the metasurface-based beamforming solutions are designed and optimized for operation on a single ISM band (either 2.4 GHz or 5 GHz). In this paper, we propose RF-Bouncer, a compact, low-cost, simple-structure programmable dual-band metasurface that supports concurrent beamforming on two Sub-6 ISM bands. By configuring the states of the meta-atoms, the metasurface is able to simultaneously steer the incident signals from two bands towards their desired departure angles. We fabricate the metasurface and validate its performance via extensive experiments. Experimental results demonstrate that RF-Bouncer achieves 15.4 dB average signal strength improvement and a 2.49× throughput improvement even with a relatively small 16× 16 array of meta-atoms.
@inproceedings{RF-Bouncer, author = {Li, Xinyi and Feng, Chao and Wang, Xiaojing and Zhang, Yangfan and Xie, Yaxiong and Chen, Xiaojiang}, title = {{RF-Bouncer: A Programmable Dual-band Metasurface for Sub-6 Wireless Networks}}, year = {2023}, booktitle = {USENIX Conference on Networked Systems Design and Implementation (NSDI)}, series = {\textbf{NSDI}}, }

MobiSys

Fusang: Graph-inspired Robust and Accurate Object Recognition on Commodity mmWave Devices

Guorong He, Shaojie Chen, Dan Xu, Xiaojiang Chen, Yaxiong Xie, Xinhuai Wang, and Dingyi Fang

In ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), Nov 2023

Bib

@inproceedings{Fusang,
  title = {{Fusang: Graph-inspired Robust and Accurate Object Recognition on Commodity mmWave Devices}},
  author = {He, Guorong and Chen, Shaojie and Xu, Dan and Chen, Xiaojiang and Xie, Yaxiong and Wang, Xinhuai and Fang, Dingyi},
  year = {2023},
  booktitle = {ACM International Conference on Mobile Systems, Applications, and Services (MobiSys)},
  series = {\textbf{MobiSys}},
}

UbiComp

Waffle: A Waterproof mmWave-based Human Sensing System inside Bathrooms with Running Water

Xuesheng Zhang, Duo Zhang, Yaxiong Xie, Dan Wu, Yang Li, and Daqing Zhang

In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Nov 2023

Bib

@inproceedings{Waffle,
  title = {{Waffle: A Waterproof mmWave-based Human Sensing System inside Bathrooms with Running Water}},
  author = {Zhang, Xuesheng and Zhang, Duo and Xie, Yaxiong and Wu, Dan and Li, Yang and Zhang, Daqing},
  booktitle = {ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)},
  year = {2023},
}

UbiComp

LoCal: An Automatic Location Attribute Calibration Approach for Large-Scale Deployment of mmWave-based Sensing Systems

Duo Zhang, Xuesheng Zhang, Yaxiong Xie, Fusang Zhang, Xuanzhi Wang, Yang Li, and Daqing Zhang

In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Nov 2023

Bib

@inproceedings{Local,
  title = {{LoCal: An Automatic Location Attribute Calibration Approach for Large-Scale Deployment of mmWave-based Sensing Systems}},
  author = {Zhang, Duo and Zhang, Xuesheng and Xie, Yaxiong and Zhang, Fusang and Wang, Xuanzhi and Li, Yang and Zhang, Daqing},
  booktitle = {ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)},
  year = {2023},
}

UbiComp

LT-Fall: The Design and Implementation of a Life-threatening Fall Detection and Alarming System

Duo Zhang, Xusheng Zhang, Shengjie Li, Yaxiong Xie, Yang Li, Xuanzhi Wang, and Daqing Zhang

In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Nov 2023

Bib

@inproceedings{MrFall,
  title = {{LT-Fall: The Design and Implementation of a Life-threatening Fall Detection and Alarming System }},
  author = {Zhang, Duo and Zhang, Xusheng and Li, Shengjie and Xie, Yaxiong and Li, Yang and Wang, Xuanzhi and Zhang, Daqing},
  year = {2023},
  booktitle = {ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)},
  series = {\textbf{UbiComp}},
}

2022

SenSys

SiFall: Practical Online Fall Detection with RF Sensing

Sijie Ji, Yaxiong Xie, and Mo Li

In ACM Conference on Embedded Networked Sensor Systems (SenSys), Nov 2022

Bib

@inproceedings{SiFall,
  author = {Ji, Sijie and Xie, Yaxiong and Li, Mo},
  title = {{SiFall: Practical Online Fall Detection with RF Sensing}},
  year = {2022},
  booktitle = {ACM Conference on Embedded Networked Sensor Systems (SenSys)},
  series = {\textbf{SenSys}},
}

SenSys

LTE-based Low-cost and Low-power Soil Moisture Sensing

Yuda Feng, Yaxiong Xie, Deepak Ganesan, and Jie Xiong

In ACM Conference on Embedded Networked Sensor Systems (SenSys), Nov 2022

Bib

@inproceedings{LTE-Soil,
  author = {Feng, Yuda and Xie, Yaxiong and Ganesan, Deepak and Xiong, Jie},
  title = {{LTE-based Low-cost and Low-power Soil Moisture Sensing}},
  year = {2022},
  booktitle = {ACM Conference on Embedded Networked Sensor Systems (SenSys)},
  series = {\textbf{SenSys}},
}

SigMetrics
NG-Scope: Fine-Grained Telemetry for NextG Cellular Networks

Yaxiong Xie, and Kyle Jamieson

In ACM Special Interest Group for the Computer Systems Performance Evaluation Community (SigMetrics), Nov 2022

Abs Bib Code

Accurate and highly-granular channel capacity telemetry of the cellular last hop is crucial for the effective operation of transport layer protocols and cutting edge applications, such as video on demand and video telephony. This paper presents the design, implementation, and experimental performance evaluation of NG-Scope, the first such telemetry tool able to fuse physical-layer channel occupancy readings from the cellular control channel with higher-layer packet arrival statistics and make accurate capacity estimates. NG-Scope handles the latest cellular innovations, such as when multiple base stations aggregate their signals together to serve mobile users. End-to-end experiments in a commercial cellular network demonstrate that wireless capacity varies significantly with channel quality, mobility, competing traffic within each cell, and the number of aggregated cells. Our experiments demonstrate significantly improved cell load estimation accuracy, missing the detection of less than 1% of data capacity overall, a reduction of 82% compared to OWL, the state-of-the-art in cellular monitoring. Further experiments show that MobileInsight-based CLAW has a root-mean-squared capacity error of 30.5 Mbit/s, which is 3.3× larger than NG-Scope (9.2 Mbit/s).
@inproceedings{ngscope, author = {Xie, Yaxiong and Jamieson, Kyle}, title = {{NG-Scope: Fine-Grained Telemetry for NextG Cellular Networks}}, year = {2022}, booktitle = {ACM Special Interest Group for the Computer Systems Performance Evaluation Community (SigMetrics)}, }
MobiCom
SmartLens: Sensing Eye Activities Using Zero-Power Contact Lens

Liyao Li, Yaxiong Xie, Jie Xiong, Ziyu Hou, Yingchun Zhang, Qing We, Fuwei Wang, Dingyi Fang, and Xiaojiang Chen

In Annual International Conference on Mobile Computing and Networking (MobiCom), Nov 2022

Abs Bib Video Code

As the most important organs of sense, human eyes perceive 80% information from our surroundings. Eyeball movement is closely related to our brain health condition. Eyeball movement and eye blink are also widely used as an efficient human-computer interaction scheme for paralyzed individuals to communicate with others. Traditional methods mainly use intrusive EOG sensors or cameras to capture eye activity information. In this work, we propose a system named SmartLens to achieve eye activity sensing using zero-power contact lens. To make it happen, we develop dedicated antenna design which can be fitted in an extremely small space and still work efficiently to reach a working distance more than 1 m. To accurately track eye movements in the presence of strong self-interference, we employ another tag to track the user’s head movement and cancel it out to support sensing a walking or moving user. Comprehensive experiments demonstrate the effectiveness of the proposed system. At a distance of 1.4 m, the proposed system can achieve an average accuracy of detecting the basic eye movement and blink at 89.63% and 82%, respectively.
@inproceedings{smartlens, author = {Li, Liyao and Xie, Yaxiong and Xiong, Jie and Hou, Ziyu and Zhang, Yingchun and We, Qing and Wang, Fuwei and Fang, Dingyi and Chen, Xiaojiang}, title = {{SmartLens: Sensing Eye Activities Using Zero-Power Contact Lens}}, booktitle = {Annual International Conference on Mobile Computing and Networking (MobiCom)}, year = {2022}, video = {https://www.youtube.com/watch?v=vAx_6-Ik2yk}, }

UbiComp

Cellular-Assisted, Deep Learning Based COVID-19 Contact Tracing

Fan Yi, Yaxiong Xie, and Kyle Jamieson

In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Nov 2022

Bib

@inproceedings{covid,
  author = {Yi, Fan and Xie, Yaxiong and Jamieson, Kyle},
  title = {{Cellular-Assisted, Deep Learning Based COVID-19 Contact Tracing}},
  year = {2022},
  booktitle = {ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)},
}

UbiComp

Towards Robust Gesture Recognition by Characterizing the Sensing Quality of WiFi Signals

Ruiyang Gao, Wenwei Li, Yaxiong Xie, Enze Yi, Leye Wang, Dan Wu, and Daqing Zhang

In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Nov 2022

Bib

@inproceedings{longrangewifi,
  author = {Gao, Ruiyang and Li, Wenwei and Xie, Yaxiong and Yi, Enze and Wang, Leye and Wu, Dan and Zhang, Daqing},
  title = {{Towards Robust Gesture Recognition by Characterizing the Sensing Quality of WiFi Signals}},
  year = {2022},
  booktitle = {ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)},
}

UbiComp

DiverSense: Maximizing Wi-Fi Sensing Range Leveraging Signal Diversity

Yang Li, Dan Wu, Jie Zhang, Xuhai Xu, Yaxiong Xie, Tao Gu, and Daqing Zhang

In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Nov 2022

Bib

@inproceedings{diversense,
  author = {Li, Yang and Wu, Dan and Zhang, Jie and Xu, Xuhai and Xie, Yaxiong and Gu, Tao and Zhang, Daqing},
  title = {{DiverSense: Maximizing Wi-Fi Sensing Range Leveraging Signal Diversity}},
  year = {2022},
  booktitle = {ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)},
}

2021

WiOpt

The Case for Small-Scale, Mobile-Enhanced COVID-19 Epidemiology

Fan Yi, Yaxiong Xie, and Kyle Jamieson

In International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), Nov 2021

Bib

@inproceedings{coivd-wiopt,
  author = {Yi, Fan and Xie, Yaxiong and Jamieson, Kyle},
  booktitle = {International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt)},
  title = {The Case for Small-Scale, Mobile-Enhanced COVID-19 Epidemiology},
  year = {2021},
}

SenSys

LTE-Based Pervasive Sensing Across Indoor and Outdoor

Yuda Feng, Yaxiong Xie, Deepak Ganesan, and Jie Xiong

In ACM Conference on Embedded Networked Sensor Systems (SenSys), Nov 2021

Bib

@inproceedings{ltesense,
  author = {Feng, Yuda and Xie, Yaxiong and Ganesan, Deepak and Xiong, Jie},
  title = {{LTE-Based Pervasive Sensing Across Indoor and Outdoor}},
  year = {2021},
  booktitle = {ACM Conference on Embedded Networked Sensor Systems (SenSys)},
}

2020

SIGCOMM

PBE-CC: Congestion Control via Endpoint-Centric, Physical-Layer Bandwidth Measurements

Yaxiong Xie, Fan Yi, and Kyle Jamieson

In the Annual Conference of the ACM Special Interest Group (SIGCOMM), Nov 2020

Bib

@inproceedings{pbecc,
  author = {Xie, Yaxiong and Yi, Fan and Jamieson, Kyle},
  title = {{PBE-CC: Congestion Control via Endpoint-Centric, Physical-Layer Bandwidth Measurements}},
  year = {2020},
  booktitle = {the Annual Conference of the ACM Special Interest Group (SIGCOMM)},
}

2019

MobiCom

MD-Track: Leveraging Multi-Dimensionality for Passive Indoor Wi-Fi Tracking

Yaxiong Xie, Jie Xiong, Mo Li, and Kyle Jamieson

In International Conference on Mobile Computing and Networking (MobiCom), Nov 2019

Bib

@inproceedings{mdtrack,
  author = {Xie, Yaxiong and Xiong, Jie and Li, Mo and Jamieson, Kyle},
  title = {{MD-Track: Leveraging Multi-Dimensionality for Passive Indoor Wi-Fi Tracking}},
  year = {2019},
  booktitle = { International Conference on Mobile Computing and Networking (MobiCom)},
}

NSDI

Towards Programming the Radio Environment with Large Arrays of Inexpensive Antennas

Zhuqi Li, Yaxiong Xie, Longfei Shangguan, R. Ivan Zelaya, Jeremy Gummeson, Wenjun Hu, and Kyle Jamieson

In USENIX Conference on Networked Systems Design and Implementation (NSDI), Nov 2019

Bib

@inproceedings{press,
  author = {Li, Zhuqi and Xie, Yaxiong and Shangguan, Longfei and Zelaya, R. Ivan and Gummeson, Jeremy and Hu, Wenjun and Jamieson, Kyle},
  title = {{Towards Programming the Radio Environment with Large Arrays of Inexpensive Antennas}},
  year = {2019},
  booktitle = {USENIX Conference on Networked Systems Design and Implementation (NSDI)},
}

INFOCOM

Synthesizing Wider WiFi Bandwidth for Respiration Rate Monitoring in Dynamic Environments

Shuyu Shi, Yaxiong Xie, Mo Li, Alex X. Liu, and Jun Zhao

In Annual IEEE International Conference on Computer Communications (INFOCOM), Nov 2019

Bib

@inproceedings{wideband_resp,
  author = {Shi, Shuyu and Xie, Yaxiong and Li, Mo and Liu, Alex X. and Zhao, Jun},
  title = {{Synthesizing Wider WiFi Bandwidth for Respiration Rate Monitoring in Dynamic Environments}},
  booktitle = {Annual IEEE International Conference on Computer Communications (INFOCOM)},
  series = {\textbf{INFOCOM}},
  year = {2019},
}

2018

MobiCom

SWAN: Stitched Wi-Fi ANtennas

Yaxiong Xie, Yanbo Zhang, Jansen Christian Liando, and Mo Li

In Annual International Conference on Mobile Computing and Networking (MobiCom), Nov 2018

Bib

@inproceedings{swan,
  author = {Xie, Yaxiong and Zhang, Yanbo and Liando, Jansen Christian and Li, Mo},
  title = {{SWAN: Stitched Wi-Fi ANtennas}},
  year = {2018},
  booktitle = {Annual International Conference on Mobile Computing and Networking (MobiCom)},
  series = {\textbf{MobiCom}},
}

2016

INFOCOM

Augmenting Wide-band 802.11 Transmissions via Unequal Packet Bit Protection

Yaxiong Xie, Zhenjiang Li, Mo Li, and Kyle Jamieson

In IEEE International Conference on Computer Communications (INFOCOM), Nov 2016

Bib

@inproceedings{unequal_pkt,
  author = {Xie, Yaxiong and Li, Zhenjiang and Li, Mo and Jamieson, Kyle},
  booktitle = {IEEE International Conference on Computer Communications (INFOCOM)},
  title = {{Augmenting Wide-band 802.11 Transmissions via Unequal Packet Bit Protection}},
  year = {2016},
  series = {\textbf{INFOCOM}},
}

2015

MobiCom

Precise Power Delay Profiling with Commodity Wi-Fi

Yaxiong Xie, Zhenjiang Li, and Mo Li

In International Conference on Mobile Computing and Networking (MobiCom), Nov 2015

Bib

@inproceedings{splicer,
  author = {Xie, Yaxiong and Li, Zhenjiang and Li, Mo},
  title = {{Precise Power Delay Profiling with Commodity Wi-Fi}},
  year = {2015},
  booktitle = { International Conference on Mobile Computing and Networking (MobiCom)},
  series = {\textbf{MobiCom}},
}

MobiCom

Recitation: Rehearsing Wireless Packet Reception in Software

Zhenjiang Li, Yaxiong Xie, Mo Li, and Kyle Jamieson

In Annual International Conference on Mobile Computing and Networking (MobiCom), Nov 2015

Bib

@inproceedings{recitation,
  author = {Li, Zhenjiang and Xie, Yaxiong and Li, Mo and Jamieson, Kyle},
  title = {Recitation: Rehearsing Wireless Packet Reception in Software},
  year = {2015},
  booktitle = {Annual International Conference on Mobile Computing and Networking (MobiCom)},
  series = {MobiCom},
}