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Shibo Zhang
I am a research scientist at HP Labs. I have a PhD degree in computer science from Northwestern University.
Before I joined HP, I worked at Northwestern University HABits Lab with a focus on machine learning and human activity recognition.
I published and won awards at top ubiquitous and pervasive computing venues.
📧 Email
Google Scholar
Twitter
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News
2022.06 Our paper accepted to ITSC 2022 (International Conference on Intelligent Transportation Systems). Congrats Runsheng!
2022.06 Invited to give a talk on EdgeML at University at Buffalo.
2022.03 Our team has a few research internship positions(short term or year long) open.
2022.03 Invited to be a TPC member of ACM International Workshop on Intelligent Acoustic Systems and Applications (IASA)!
2022.02 Our review paper has been published by MDPI Sensors!
2022.01 Our paper has been accepted by IEEE ICASSP 2022!
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Paper Awards
2020 Best Poster Award, UbiComp (2%)
2020 Best Presentation Award Runner-up - Audience Choice Tied, UbiComp (1.3%)
2019 Distinguished Paper Award, UbiComp/IMWUT Vol.3 (3.7%)
2016 Best Paper Award, ACM BodyNets (2.4%)
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Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
Shibo Zhang*,
Yaxuan Li*,
Shen Zhang,
Farzad Shahabi,
Stephen Xia,
Yu Deng,
Nabil Alshurafa (* equal contribution)
MDPI Sensors, 2022
arXiv /
paper /
bib
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CoughTrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-efficient Sensitivity-prioritized Time Series Classifier
Shibo Zhang, Ebrahim Nemati, Tousif Ahmed, Md Mahbubur Rahman, Jilong Kuang, Nabil Alshurafa, Alex Gao
IEEE ICASSP, 2022
arXiv /
paper /
bib
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A Novel Multi-Centroid Template Matching Algorithm and Its Application to Cough Detection
Shibo Zhang,
Ebrahim Nemati,
Tousif Ahmed,
Md Mahbubur Rahman,
Jilong Kuang,
Alex Gao
IEEE EMBC, 2021
arXiv /
paper /
bib
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🏆 VibroScale: Turning Your Smartphone into a Weighing Scale (Best Poster Award)
Shibo Zhang,
Qiuyang Xu,
Sougata Sen,
Nabil Alshurafa
Ubicomp, 2020 (Poster)
paper /
bib /
website /
video /
reviews
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Deep Generative Cross-modal On-body Accelerometer Data Synthesis from Videos
Shibo Zhang,
Nabil Alshurafa
Ubicomp, 2020 (Doctoral Colloquium)
paper /
bib
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SyncWISE: Window Induced Shift Estimation for Synchronization of Video and Accelerometry from Wearable Sensors
Yun Zhang*,
Shibo Zhang*,
Miao Liu,
Elyse Daly,
Battalio Samuel,
Santosh Kumar,
Bonnie Spring,
James M. Rehg,
Nabil Alshurafa
(* equal contribution)
IMWUT, 2020 (UbiComp)
paper /
bib /
website /
code + data /
video
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🏅 NeckSense: A Multi-Sensor Necklace for Detecting Eating Activities in Free-Living Conditions (Best Presentation Award, Runner-up)
Shibo Zhang,
Yuqi Zhao,
Dzung Nguyen,
Runsheng Xu,
Sougata Sen,
Josiah Hester,
Nabil Alshurafa
IMWUT, 2020 (UbiComp)
paper /
bib /
website /
code + data /
article /
video /
teaser /
talk
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Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review
Shen Zhang,
Shibo Zhang,
Bingnan Wang,
Thomas G. Habetler
IEEE Access, 2020
paper /
bib
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🏆 micro-Stress EMA: A Passive Sensing Framework for Detecting in-the-wild Stress in Pregnant Mothers (Distinguished Paper Award)
Zachary D. King,
Judith Moskowitz,
Begum Egilmez,
Shibo Zhang,
Lida Zhang,
Michael Bass,
John Rogers,
Roozbeh Ghaffari,
Laurie Wakschlag,
Nabil Alshurafa
IMWUT, 2019 (UbiComp)
paper /
bib /
code + data
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I sense overeating: Motif-based machine learning framework to detect overeating using wrist-worn sensing
Shibo Zhang,
William Stogin,
Nabil Alshurafa
Information Fusion, 2018
paper /
bib /
data
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Demo: Habits necklace: A neck-worn sensor that captures eating related behavior and more
Shibo Zhang,
Dzung Nguyen,
Zachary D. King,
Jishnu Pradeep,
Nabil Alshurafa
UbiComp, 2018 (Demo)
paper /
bib /
demo /
poster
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Estimating caloric intake in bedridden hospital patients with audio and neck-worn sensors
Shibo Zhang,
Dzung Nguyen, Gan Zhang,
Runsheng Xu,
Nikolaos Maglaveras,
Nabil Alshurafa
IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2018
paper /
bib /
poster
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When generalized eating detection machine learning models fail in the field
Shibo Zhang,
Rawan Alharbi,
Matthew Nicholson,
Nabil Alshurafa
UbiComp Workshop HASCA, 2017
paper /
bib
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🏆 Food watch: detecting and characterizing eating episodes through feeding gestures (Best Paper Award)
Shibo Zhang,
Rawan Alharbi,
William Stogin,
Mohamad Pourhomayun,
Bonnie Spring,
Nabil Alshurafa
11th ACM BodyNets, 2016
paper /
bib
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An Iterative Dimensionality-Scaling System for Real-Time Health Monitoring Applications
Haik Kalantarian,
Majid Sarrafzadeh,
Shibo Zhang,
Nabil Alshurafa
IEEE International Conference on Healthcare Informatics (ICHI), 2016
paper /
bib /
poster
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Auto-Commissioning and Adaptive Tuning of Servo Control Parameters in an Electro-Hydraulic System Based on Physical Plant Model
Xiaomeng Cheng, Shibo Zhang, Yiun Chen, Haicong Zhang, Xu Zhu
IEEE 15th Workshop on Control and Modeling for Power Electronics (COMPEL), 2014
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bib
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Honors
2018 NSF Student Attendance Scholarship
2017 Graduate Student Travel Grant, Northwestern University
2013 Best Intern Award, Eaton Corporate Research & Technology
2012 Best Intern Award, Eaton Corporate Research & Technology
2012 Eaton Innovation Scholarship
2011 National Freescale Cup Autonomous Race Car Challenge, Regional Second Prize
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Academic Services
Technical Program Committee:
ACM International Workshop on Intelligent Acoustic Systems and Applications (IASA) co-located with MobiSys
Journal Reviewer:
IMWUT, JBHI, JMIR, JVC, JMS, IEEE Access, IEEE TIE
Conference Reviewer:
UbiComp, CHI, ISWC, CSCW, ICMI, PerCom, CHI PLAY, BHI
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More about Me
I love robotics. This is a ball-collecting quadrotor I engaged in and was responsible for control system using DJI Matrice 100.
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