Guanling Chen - Computer Science - UMass Lowell

Spring 2017 Schedule

Office Hours: Tu/Th 14:00-15:30pm
Courses: COMP 4631 Mobile App Programming II, COMP 5800 Ubiquitous Computing.

Project: Understanding and Influencing Personal Health Behaviors

Mobile and wearable devices enable us to study people's health behaviors in great details. In this project we aim to develop practical, energy-efficient, and user-friendly systems to automatically recognizing and influencing health behaviors.

+ Early Detection of Diseases using Electronic Health Records Data and Covariance-Regularized Linear Discriminant Analysis. IEEE/EMB International Conference on Biomedical and Health Informatics (BHI), Orlando, FL, February 2017.

+ A New Deep Learning-based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure, IEEE Transactions on Service Computing, Accepted.

+ WalkMore: Promoting Walking with Just-in-Time Context-Aware Prompts. IEEE Wireless Health, Bethesda, MD, October 2016.

+ Sleep quality and mental disorders among college nursing students: The mediating role of perceived stress and coping styles. APHA Annual Meeting & Expo, Denver, CO, October 2016.

+ iHearFood: Eating Detection Using Commodity Bluetooth Headsets. IEEE CHASE, Washington DC, June 2016.

+ DeepFood: Deep Learning-based Food Image Recognition for Computer-aided Dietary Assessment. IEEE ICOST, Wuhan, China, May 2016.

+ Assisting Food Journaling with Automatic Eating Detection. ACM CHI, San Jose, CA, May 2016.

+ Automatic Eating Detection Using Head-Mount and Wrist-Worn Accelerometers, IEEE HealthCom, Boston, MA, October 2015.

+ Monitoring Sleep and Detecting Irregular Nights through Unconstrained Smartphone Sensing, IEEE UIC, Beijing, China, August 2015. DATA

+ Changing Health Behaviors through Social and Physical Context Awareness, IEEE ICNC, Anaheim, CA, February 2015.

+ MVPTrack: Energy-Efficient Places and Motion States Tracking. MobiQuitous, Tokyo, Japan, December 2013.

Project: Mobile App Usability Testing and Frustration Detection

2010--2016, funded by NSF
Currently there are few automatic mobile app usability testing systems and industry practice still heavily relies on manual efforts. We designed the first fine-grained interaction event logging system and a model-based event analytical system that can automatically identify usability problems for mobile apps.

+ Unsupervised Detection of Abnormal Moments for Usability Testing of Mobile Apps. ACM CHI, May 2016.

+ Implementation of a Computerized Screening Inventory: Improved Usability Through Iterative Testing and Modification, Journal of Medical Internet Research Usability Factors (JMIR UF). Vol 3, No 1: Jan-Jun, 2016.

+ Controlling Smart TVs using Touch Gestures on Mobile Devices. UFirst, Beijing, China, August 2015.

+ A Pilot Study of an Inspection Framework for Automated Usability Guideline Reviews of Mobile Health Applications. Wireless Health, NIH Bethesda, MD, October 2014.

+ A New Method for Automated GUI Modeling of Mobile Applications. MobiQuitous, Tokyo, Japan, December 2013.

+ Design and Implementation of a Toolkit for Usability Testing of Mobile Apps. ACM/Springer Mobile Networks and Applications (MONET). 18(1):81-97. February 2013.

Project: Smartphone Measurement and App Usage Analytics

2010--2016, funded by NSF

+ Beyond Smartphone Overuse: Identifying Addictive Mobile Apps. ACM CHI, May 2016.

+ Automatic Mobile Photo Tagging Using Context. IEEE TENCON, Xi'an, China, October 2013.

+ Providing Diagnostic Network Feedback to End Users on Smartphones. IEEE IPCCC, San Diego, CA, December 2013.

+ Nihao: A Predictive Smartphone Application Launcher. MobiCase, Seattle, WA, October 2012.

+ Predicting Mobile Application Usage Using Context Information. ACM UbiComp, Pittsburgh, PA. September 2012.

+ AppJoy: Personalized Mobile Application Discovery. ACM MobiSys, Washington, DC, June 2011. DATA

Project: Social Media Analysis and Crowdsourcing Modeling

2008--2015, funded partly by NSF
+ iCrowd: Near-Optimal Task Allocation for Piggyback Crowdsensing. ACM Transaction of Mobile Computing (TMC). September 2015.

+ CrowdTasker: Maximizing Coverage Quality in Piggyback Crowdsensing under Budget Constraint. IEEE PerCom, St. Louis, Missouri, March 2015.

+ CrowdRecruiter: Selecting Participants for Piggyback Crowdsensing under Probabilistic Coverage Constraint. ACM UbiComp, Seattle, WA, September 2014.

+ Exploring Structural Analysis of Place Networks Using Check-In Signals. IEEE GLOBECOM, Atlanta, GA, December 2013.

+ Understanding Weight Change Behaviors Through Online Social Networks. International Journal of Computational Models and Algorithms in Medicine (IJCMAM), 2(3):46-69, July-September 2011.

+ Malware Propagation in Online Social Networks: Nature, Dynamics, and Defense Implications. ASIACCS, Hong Kong, China, March 2011.

+ Sharing Location in Online Social Networks. IEEE Networks Special Issue on Online Social Networks, September-October 2010.

+ Multi-Layer Friendship Modeling for Location-based Mobile Social Networks. MobiQuitous, Toronto, Canada, July 2009. Best Paper Award.

Project: Performance and Security Monitoring for Wireless LANs

2005--2009, funded by DHS, joint work with Dartmouth College
+ Sniffer Channel Selection for Monitoring Wireless LANs. Computer Communications. 35(16):1994-2003, September 2012.

+ Robust Detection of Unauthorized Wireless Access Points. ACM/Springer Mobile Networks and Applications (MONET), 14:4, August 2009.

+ Model-based Fault Diagnosis for IEEE 802.11 Wireless LANs. MobiQuitous, Toronto, Canada, July 2009.

+ MAP: A Scalable Monitoring System for Dependable 802.11 Wireless Networks. IEEE Wireless Communications, Special Issue on Dependability Issues with Ubiquitous Wireless Access. August 2008.

+ Detecting 802.11 MAC Layer Spoofing Using Received Signal Strength. IEEE InfoCom, Phoenix, AZ. April 2008.