Dr. Chenren Xu 许辰人博士

Postdoctoal Research Fellow of Prof. Peter Steenkiste

Department of Computer Science

Carnegie Mellon University

5000 Forbes Avenue

Pittsburgh, PA, 15213-3891

 

Email: chenren AT cs DOT cmu DOT edu

Office: Gates 8125

 

ABOUT ME

I am passionate in conducting research on human-centric energy-efficient mobile and sensing systems that involve sensors, mobile devices and cloud services, with a special focus on passive sensing, which does not require active human participation, to monitor their physical, social and cognitive activities towards better wellbeing. My skill set broadly spans the areas of mobile and ubiquitous computing, embedded systems, wireless networking, machine learning, signal processing, and human computer interaction.

I received my Ph.D. at WINLAB/ECE of Rutgers University in 2014. I have also spent several summers at Samsung Research America, AT&T Labs Research and Technicolor Labs. Before joining Rutgers, I received B.E. (Highest Hons.) from Department of Automation, Shanghai University in 2008 .

cmu winlab samsung att technicolor
shu

For more information, please find me in:

cv scholar linkedin fb
renren

 

PROJECTS

   
RF-based Device-free Localization Knowing how many people and find where they are in indoor environments without requiring them to carry any devices can enhance everyday life, such as elder-care, rescue operations, security enforcement and building occupancy statistics. We observe and take advantage of how human subjects absorb or reflect the ambient radio power - change the radio propagation accordingly when they are in different locations, and derive unobtrusive and energy-efficient algorithms to accurately count and localize number of people. We have validated this technique through extensive experiments in different home and office settings with low-power radio sensors infrastructure deployment. See our IPSN'13, IPSN'12 paper.
   
Speaker counting on Smartphones Knowing how many people are talking can enable many scalable social sensing applications, such as crowd estimation, social isolation detection and audience engagement estimation. It is challenging to accurately and efficiently estimate the number of speakers during in conversations without any prior knowledge of the participants and their speech characteristics. We designed and implemented Crowd++, a mobile device based unsupervised speaker counting service. Crowd++ can work in different environmental settings: from tables to pockets, from quite indoor to noisy outdoors, and it can last more than one day on modern smartphones. See our UbiComp'13 paper and check it out through github.
   

Transmit-only protocol Changing batteries in your devices is annoying; changing batteries in 100 sensors throughout your home is impossible. Traditional wireless protocols care more about data connectivity than power consumption, but if we want a world with tiny sensors then our wireless protocols need to use tiny batteries and still last for years. Our solution to this problem is a transmit-only protocols that exploits the capture effect to mitigate packet collisions. This is a zero-overhead protocol for the transmitters, so our sensors last for years on a single coin cell battery. See our MobiHoc'10 paper.

   

Accurate Angular and Distance Ranging Using Radio-Optical Link Accurately estimating relative angles and ranges information between nearby devices is a hard problem, yet of importance to many context-aware applications such as augmented reality, autonomous automotive systems, smart manufacturing systems, etc. Existing indoor localization techniques could not meet the applications' requirements given the resource constraints. We have started exploring a technique that integrates wireless wearable devices with hardware adjuncts to provide spatial context information at centimeter-level accuracy from objects and people for indoor environment. See our MobiSys'13 demo.

   
Owlplatform With all of the hype about the "Internet of Things" it would be nice if you could put your things online. This is a long-term project with the goal of creating a software stack that makes it easy to make physical spaces, like your house, smarter. This problem can be divided into several areas: sensing, data collection, data processing, and actuation on that data. Owl platform focuses on the last three areas, and is hardware agnostic, allowing you to choose your own sensing solution. Interested? Check it out and see our HotPlanet'13 and iThings'13 paper.

 

PUBLICATIONS

Crowdsensing the Speaker Count in the Wild: Implications and Applications
Chenren Xu, Sugang Li, Yanyong Zhang, Emiliano Miluzzo, Yih-Farn Chen
IEEE Communication Magazine, Special Issue on Mobile Crowd Sensing, October, 2014. – AR: 21.4% (9 out of 42). [bibtex]
 
Boe: Context-aware Global Power Management for Mobile Devices Balancing Battery Outage and User Experience
Chenren Xu, Vijay Srinivasan, Jun Yang, Yoshiya Hirase, Emmanuel M. Tapia, Yanyong Zhang
The 11th IEEE International Conference on Mobile Ad hoc and Sensor Systems (IEEE MASS), Philadelphia, Pennsylvania, USA, October 28-30, 2014. – AR: 26.6% (48 out of 181). [bibtex]
 
MobileMiner: Mining Your Frequent Behavior Patterns on Your Phone
Vijay Srinivasan, Saeed Moghaddam, Abhishek Mukherji, Kiran K. Rachuri, Chenren Xu, Emmanuel M. Tapia
The 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp), Seattle, USA, September 13-17, 2014. – AR: 13.9% (62 out of 454). [bibtex]
 
A Transport Protocol for Content-Centric Networking with Explicit Congestion Control
Feixiong Zhang, Yanyong Zhang, Alex Reznik, Hang Liu, Chen Qian and Chenren Xu
The 23rd IEEE International Conference on Computer Communications and Networks (IEEE ICCCN), Shanghai, China, Augest 4-7, 2014. – AR: 28%. [bibtex]
 
Context-aware Global Power Management for Mobile Devices Balancing Battery Outage and User Experience
Chenren Xu, Vijay Srinivasan, Jun Yang, Yoshiya Hirase, Emmanuel M. Tapia, Yanyong Zhang
The 15th ACM International Workshop on Mobile Computing Systems and Application (ACM HotMobile), Poster Session, Santa Barbara, USA, February 26-27, 2014.
 
On-Device Mining of Mobile Users' Co-Occurrence Patterns
Vijay Srinivasan, Saeed Moghaddam, Abhishek Mukherji, Kiran K. Rachuri, Chenren Xu, Emmanuel M. Tapia
The 15th ACM International Workshop on Mobile Computing Systems and Application (ACM HotMobile), Poster Session, Santa Barbara, USA, February 26-27, 2014.
 
Crowd++: Unsupervised Speaker Count with Smartphones
Chenren Xu, Sugang Li, Gang Liu, Yanyong Zhang, Emiliano Miluzzo, Yih-Farn Chen, Jun Li, Bernhard Firner
The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp), Zurich, Switzerland, September 8-12, 2013. – AR: 18% (71 out of 395). [bibtex][slides][poster][code]
 
SCPL: Indoor Device-Free Multi-Subject Counting and Localization Using Radio Signal Strength
Chenren Xu, Bernhard Firner, Robert S. Moore, Yanyong Zhang, Wade Trappe, Richard Howard, Feixiong Zhang and Ning An
The 12th ACM/IEEE International Conference on Information Processing in Sensor Networks (ACM/IEEE IPSN), CPSWEEK, Philadelphia, USA, April 8-11, 2013. – AR: 20.9% (24 out of 115). [bibtex][slides]
 
Improving RF-Based Device-Free Passive Localization In Cluttered Indoor Environments Through Probabilistic Classification Methods
Chenren Xu, Bernhard Firner, Yanyong Zhang, Richard Howard, Jun Li and Xiaodong Lin.
The 11th ACM/IEEE International Conference on Information Processing in Sensor Networks (ACM/IEEE IPSN), CPSWEEK, Beijing, China, April 17-20, 2012. – AR: 14.9% (22 out of 147). [bibtex][slides]
 
Device-free People Counting and Localization
Chenren Xu
The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp), Ph.D. Forum, Zurich, Switzerland, September 8-9, 2013. – AR: 19% (9 out of 47).
 
Building a Practical Sensing System
Robert S. Moore, Bernhard Firner, Chenren Xu, Richard Howard, Yanyong Zhang, Richard Martin
The 2013 IEEE International Conference on Internet of Things (IEEE iThings), Beijing, China, August 20-23, 2013. [bibtex]
 
It’s Tea Time: Do You Know Where Your Mug Is?
Robert S. Moore, Bernhard Firner, Chenren Xu, Richard Howard, Richard Martin, Yanyong Zhang
The 5th ACM HotPlanet Workshop co-located with SIGCOMM, Hong Kong, China, August 12-16, 2013. [bibtex]
 
BiFocus: Using Radio-Optical Beacons for An Augmented Reality Search Application
Ashwin Ashok, Chenren Xu, Tam Vu, Marco Gruteser, Richard Howard, Yanyong Zhang, Narayan Mandayam, Wenjia Yuan, and Kristin Dana
The 11th International Conference on Mobile Systems, Applications and Services (ACM MobiSys), Demo Session, Taipei, Taiwan, June 25-28, 2013.
 
Towards Robust Device-Free Passive Localization Through Automatic Camera-Assisted Recalibration
Chenren Xu, Mingchen Gao, Bernhard Firner, Yanyong Zhang, Richard Howard, and Jun Li
The 10th ACM Conference on Embedded Networked Sensor Systems (ACM SenSys), Poster Session, Toronto, Canada, November 6-9, 2012. [bibtex][poster]
 
Exploiting Human Mobility Trajectory Information In Indoor Device-Free Passive Tracking
Chenren Xu, Bernhard Firner, Yanyong Zhang, Richard Howard and Jun Li
The 11th ACM/IEEE International Conference on Information Processing in Sensor Networks (ACM/IEEE IPSN), Poster Session, CPSWEEK, Beijing, China, April 17-20, 2012. [poster]
 
Trajectory-Based Indoor Device-Free Passive Tracking
Chenren Xu, Bernhard Firner, Yanyong Zhang, Richard Howard and Jun Li
The 2nd International Workshop on Mobile Sensing co-located with IPSN and CPSWEEK, Beijing, China, April 16, 2012. [bibtex] Invited paper
 
Statistical Learning Strategies for RF-based Indoor Device-Free Passive Localization
Chenren Xu, Bernhard Firner, Yanyong Zhang, Richard Howard and Jun Li
The 9th ACM Conference on Embedded Networked Sensor Systems (ACM SenSys), Poster Session, Seattle, USA, November 1-4, 2011. – Best Poster Award (1 out of 26) [bibtex][poster]
 
Multiple Receiver Strategies for Minimizing Packet Loss in Dense Sensor Networks
Bernhard Firner, Chenren Xu, Richard Howard, Yanyong Zhang
The 11th ACM International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc), Chicago, USA, September 20-24, 2010. – AR: 16.6% (26 out of 157) [bibtex]
 

SELECTED HONORS & AWARDS

  • ECE Research Excellence Award, Rutgers University, 2014
  • Best Poster Award, ACM SenSys’11, sponsored by Microsoft Research (MSR), 2011
  • Student Travel Grant, CPS Week'14, ACM UbiComp'13, ACM SenSys’12, ’11, ACM/IEEE IPSN’12
  • Distinguished College Graduate of Shanghai (Top 1% nationwide), 2008
  • Kwang-Hua Fellowship (Top 3% nationwide), 2008
  • First Prize, National Undergraduate Electronic Design Contest, Shanghai Division, 2007

 

INVITED TALKS & PRESENTATIONS

“Crowd++: Unsupervised Speaker Count with Smartphones”, WINLAB IAB review on "Human Factors, Mobile and Social Computing", Rutgers University, Piscataway, NJ, USA, May, 2014

"Learning Human Context through Unobtrusive Methods", PARC, Palo Alto, CA, USA, April, 2014

"Learning Human Context through Unobtrusive Methods", FXPAL, Palo Alto, CA, USA, March, 2014

"Learning Human Context through Unobtrusive Methods", Samsung Research America, San Jose, CA, USA, March, 2014

“Crowd++: Unsupervised Speaker Count with Smartphones”, ACM UbiComp, ETH, Zurich, Switzerland, September, 2013

“Device-free People Counting and Localization”, ACM UbiComp Ph.D. Forum, ETH, Zurich, Switzerland, September, 2013

“Ambient Sensing and its Applications”, AT&T Labs Research, Florham Park, NJ, USA, May, 2013

“SCPL: Indoor Device-Free Multi-Subject Counting and Localization Using Radio Signal Strength”, ACM/IEEE IPSN, CPSWEEK, Philadelphia, PA, USA, April, 2013

“Improving RF-Based Device-Free Passive Localization Through Probabilistic Classification Methods”, WINLAB IAB review on "Enabling Technologies for Mobile Services and Applications", Rutgers University, Piscataway, NJ, USA, December, 2012

“Improving RF-Based Device-Free Passive Localization In Cluttered Indoor Environments Through Probabilistic Classification Methods”, ACM/IEEE IPSN, CPSWEEK, Beijing, China, April, 2012

“Improving Device-Free Passive Localization Using Pervasive Indoor Wireless Sensor Systems”, WINLAB IAB review on "Machine to Machine Communication", Rutgers University, Piscataway, NJ, USA, May, 2011.

“Immersive Sensing System for the Smart Home”, Technicolor Labs. Princeton, NJ, USA, April, 2010.

 

ACADEMIC SERVICE

Organizational Committtee Member:

  • Publicity Chair, ACM/IEEE IPSN, 2015
  • Publicity Chair, AlGOSENSORS, 2014
  • Poster Chair, ACM MobiHoc Workshop on Mobile Sensing, Computing and Communication, 2014

Technical Program Committtee Member:

  • ACM MobiCom Workshop on Wireless of the Students, by the Students, for the Students (S3), 2014
  • ACM MobiSys Ph.D. Forum, 2014
  • ACM MobiSys Workshop on Mobile Augmented Reality and Robotic Technology-based Systems, 2014
  • IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2014
  • IEEE International Conference on Networking, Architecture, and Storage (NAS), 2014
  • IEEE Vehicular Technology Conference (VTC), 2014

Journal Article Reviewer:

  • IEEE Pervasive Computing Magazine
  • IEEE Journal of Selected Topics in Signal Processing
  • IEEE/ACM Transactions on Networking
  • IEEE Transactions on Mobile Computing
  • ACM Transactions on Sensor Networks
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Transactions on Services Computing
  • IEEE Transactions on Human-Machine Systems
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Computers
  • IEEE Transactions on Vehicular Technology
  • IEEE Communication Letters
  • ACM Mobile Computing and Communications Review
  • ELSEVIER Journal of Systems Architecture
  • ELSEVIER Journal of Pervasive and Computing
  • Taylor & Francis New Review of Hypermedia and Multimedia

External Conference Paper Reviewer:

  • ACM UbiComp 2014
  • ACM MobiSys 2013
  • ACM/IEEE IPSN 2014
  • ACM MobiHoc 2014
  • IEEE INFOCOM 2012, 2013, 2014
  • IEEE MILCOM 2013
  • IEEE ICNC 2013
  • SenseMine 2013

 

SELECTED NON-ACADEMIC SERVICE

Presidents/Chairs:

  • Rutgers Chinese Student & Scholar Association (RCSSA), 2010-2011
  • Shanghai University Alumni North America-Great New York Area Branch, 2011-now
  • Shanghai University Department of Automation, Class 2008

 

MISCELLANEOUS

News!

I am Dr. Chenren Xu now!

On May 16, 2014, I defended my Ph.D. dissertation "Learning Human Contexts through Unobtrusive Methods". Please check out that moment and my dissertation.

Crowd++ code released!

We released the source code of our Crowd++ project in GitHub. Please check it out.

ACM UbiComp'14

Our work MobileMiner at Samsung Research America is accepted to ACM UbiComp'14.

ACM/IEEE IPSN'14

On Apr. 14th, 2014, our InfraRad system won a respectable 5th in the IPSN indoor localization competition for infrastructure-based solutions.

ACM MobiHoc'14

I will serve as the Poster Chair of the first International Workshop on Mobile Sensing, Computing and Communication (MSCC) in conjunction with ACM MobiHoc'14.

ACM MobiSys'14

I will serve as a TPC member of ACM MobiSys'14 Workshop on Mobile Assistive and Romotic Technology-based Systems.

Stanford MobiSocial'13

On Oct. 4, 2013, my summer intern work at Samsung Research America "Context-aware Global Energy Management for Mobile Device" was presented in poster session at Stanford Annual Mobisocial Retreat.

Talk at HFUT

On Sep. 27, 2013, I gave an invited talk on "Device-free People Counting and Localization" in School of Computer and Information, Hefei University of Technology, China.

ACM UbiComp'13

On Sep. 10, 2013, I presented our work "Speaker Counting with Smartphones" at ACM UbiComp'13. The talk slides are here. The paper is here.

ACM/IEEE IPSN'13

On Apr. 9, 2013, I presented our work "RF-based Device-free People Counting and Localization" at ACM/IEEE IPSN'13. The talk slides are here. The paper is here.

ACM SenSys'12

On Nov. 8, 2012, I presented our work "Camera-assisted Automatic Recalibration in Device-free Localization" at ACM SenSys'12. The poster is here. The abstract is here.

ACM/IEEE IPSN'12

On Apr 18, 2012, I presented our work "RF-based Device-free Localization" at ACM/IEEE IPSN'12. The talk slides are here. The paper is here.

ACM SenSys'11

On Nov. 4, 2011, our work "RF-based Device-free Localization" was awarded Best poster at ACM SenSys'11.