Yunhe Feng

yunhefeng at utk.edu
[CV]

About Me

I'm a Ph.D. student with Prof. Qing Charles Cao in computer science at the University of Tennessee, Knoxville, USA. I received the B.E. and M.E. in 2011 and 2014 from Beijing University of Technology, China. My interest lies in Mobile Security and Privacy, Data Mining and Knowledge Discovery, Machine Learning, Human-Computer Interaction (HCI), Mobile Computing and Internet of Things (IoT). Besides research, I love playing sports, including half marathon, tennis, soccer, and fishing.

Published Papers

Y. Feng, and W. Zhou
Is Working From Home The New Norm? An Observational Study Based on a Large Geo-tagged COVID-19 Twitter Dataset
arXiv preprint arXiv:2006.08581, 2020. (Preprint)
[Paper]
P. Sun, Z. Wang, L. Wu, Y. Feng, X. Pang, H. qi, and Z. Wang
Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems
Transactions on Mobile Computing (TMC), 2020. (Accepted)
[Paper]
Y. Feng, Q. Cao, H. Qi, and S. Ruoti
SenCAPTCHA: A Mobile-First CAPTCHA Using Orientation Sensors
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT, the new publication model of UbiComp), 2020.
[Paper]
P. Sun, Z. Wang, Y. Feng, L. Wu, Y. Li, H. Qi, and Z. Wang
Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Crowdsourced Binary-Choice Question Answering
International Conference on Computer Communications (INFOCOM), 2020.
[Paper]
Y. Feng, Z. Lu, W. Zhou, Z. Wang, and Q. Cao
New Emoji Requests from Twitter Users: When, Where, Why, and What We Can Do About Them
ACM Transactions on Social Computing (TSC) 3(2), 2020.
[Website] [Paper]
Y. Feng, Z. Chen, D. Wang, J. Chen, and Z. Feng
DeepWelding: A Deep Learning Enhanced Approach to GTAW Using Multi-source Sensing Images
IEEE Transactions on Industrial Informatics (TII), 2019. (Impact factor: 7.377)
[Paper]
Y. Feng, Z. Lu, Z. Zheng, P. Sun, W. Zhou, R. Huang, and Q. Cao
Chasing Total Solar Eclipses on Twitter: Big Social Data Analytics in Once-in-a-lifetime Events
2019 IEEE Global Communications Conference (GLOBECOM), 2019.
[Paper]
Z. Lu, Y. Feng, and Q. Cao
Two-level Index for Truss Community Query in Large-Scale Graph
2019 IEEE Global Communications Conference (GLOBECOM), 2019.
[Paper]
P. Sun, L. Wu, Z. Wang, Y. Feng, and Z. Wang
SCRA: Structured Compressive Random Access for Efficient Information Collection in IoT
IEEE Internet of Things Journal (IoT Journal), 2019. (Impact factor: 9.515)
[Paper]
Y. Feng, W. Zhou, Z. Lu, Z. Wang, and Q. Cao
The World Wants Mangoes and Kangaroos: A Study of New Emoji Requests Based on Thirty Million Tweets
The Web Conference 2019 (formerly known as WWW), 2019.
(Acceptance rate: 20.0%, CCF Rank A)
[Paper]
Z. Wang, Y. Li, B. Jin, Q. Wang, Y. Feng, Y. Li, and H. Shao
AirMouse: Turning a Pair of Glasses into a Mouse in the Air
IEEE Internet of Things Journal (IoT Journal), 2019. (Impact factor: 9.515)
[Paper]
Y. Feng, Z. Lu, and Q. Cao
Secure Sharing of Private Locations through Homomorphic Bloom Filters
2018 IEEE 4th International Conference on Big Data Security on Cloud (BigDataSecurity), 2018. (Best Paper Award, acceptance rate: 18.6%)
[Paper]
Y. Feng, Z. Lu, W. Zhou, Q. Cao and X. Li
A Multi-Granularity Perspective for Spatial Profiling of Mobile Apps
Information Sciences 430, (2018): 127-141. (Impact factor: 4.832, CCF Rank B)
[Paper]
Z. Lu, Y. Feng*, W. Zhou, X. Li, and Q. Cao
Inferring Correlation between User Mobility and App Usage in Massive Coarse-grained Data Traces
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT, the new publication model of UbiComp) 1.4, (2018): 153. (*Corresponding Author, 10-year average acceptance rate: 18.5%, CCF Rank A)
[Paper]
Z. Lu, Y. Feng, and Q. Cao
Decentralized Search for Shortest Path Approximation in Large-scale Complex Networks
IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2017. (Honorable Mention for Best Paper, acceptance rate: 29.4%)
[Paper]
Q. Cao, Y. Feng, Z. Lu, H. Qi, L. M. Tolbert, L. Wan, Z. Wang, and W. Zhou
Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments
Ad Hoc Networks, 66, (2017): 52-63. (Impact factor: 3.047, CCF Rank C)
[Paper]
L. Wan, Z. Wang, Z. Lu, Y. Feng, H. Qi, W. Zhou, and Q. Cao
Approximate and Sub-linear Spatial Queries for Large-scale Vehicle Networks
IEEE Transactions on Vehicular Technology (TVT), 2017. (Impact factor: 2.243)
[Paper]

Grants and Competitions

Y. Feng
Google Cloud COVID-19 Research Credits ($9,000)
July, 2020.
Y. Feng
Kaggle's Open Data Research Grant Award ($2,000)
Junuary, 2020.
Y. Feng and W. Zhou
Top 5 Finalists among 600 Teams for 2017 Syngenta Crop Challenge in Analytics hosted by Institute for Operations Research and the Management Sciences (INFORMS)
Presented at INFORMS Conference on Business Analytics and Operations Research April, 2017.
Presented at INFORMS Annual Meeting October, 2017. [Link]
Y. Feng, Z. Li and Z. Tang
Third-Prize in RoboCup (Robot World Cup) China Open 2012 Simulation 2D Group
December, 2012.
Y. Feng, Z. Li and Z. Tang
Third-Prize in 14th China National Robotics Championship FIRA 11vs11 Simulation Competition
July, 2012.

Internship & Teaching Experience

Deep Learning Research Intern at Oak Ridge National Laboratory, Oak Ridge, TN
May - August, 2018.
Guest Lecturer for M485 - Data-Driven Decisions, Indiana University Bloomington, Spring 2020
Guest Lecturer for BAZN 557 - Text Mining, Haslam College of Business, University of Tennessee, Knoxville, Fall 2018, Fall 2019
Teaching Assistant for ECE 453/553 - Computer Communication Networks Spring 2018
Teaching Assistant for COSC 361 - Operating Systems Spring 2015, Fall 2016, Spring 2017
Teaching Assistant for ECE 451 - Computer Systems Architecture Fall 2014

Professional Services and Technical Skills

  • TPC for International Symposium on Emerging Information Security and Applications (EISA 2020)
  • TPC for 2020 IEEE Global Communications Conference (GLOBECOM 2020)
  • Reviewer for IEEE Transactions on Industrial Informatics (TII 2020)
  • Reviewer for American Medical Informatics Association 2020 Annual Symposium (AMIA 2020)
  • TPC for 2019 IEEE Global Communications Conference: Communication & Information Systems Security (2019)
  • Reviewer for IEEE Access Journal (2019)
  • Reviewer for the International Journal of Forecasting (2019)
  • External referee for the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (SIGKDD 2019)
  • External referee for the IEEE Transactions on Knowledge and Data Engineering (TKDE 2018)
  • Reviewer for the 14th IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS 2017)
  • External referee for the IEEE International Conference on Data Mining (ICDM 2016)
  • Reviewer for the 12th International Conference on Mobile Ad-hoc and Sensor Networks (MSN 2016, 2019)
  • Reviewer for the 2016 International Conference on Information Systems (ICIS 2016)
  • Programming skills:
  • Honors & Awards

  • Student Registration Grants (IEEE Symposium on Security and Privacy 2020)
  • Kaggle's Open Data Research Grant Award, 2020, Kaggle
  • Min H. Kao Fellowship, 2019-2020, University of Tennessee, Knoxville
  • The Graduate Student Senate (GSS) Travel Awards, 2019, University of Tennessee, Knoxville
  • Gonzalez Family Awards (Outstanding Graduate Research Assistant), 2018, 2019, University of Tennessee, Knoxville
  • Best Paper Award (BigDataSecurity 2018)
  • Honorable Mention for Best Paper (CloudCom 2017)
  • Finalists for 2017 Syngenta Crop Challenge in Analytics (Top 5 among 600 Teams)
  • EECS Department Excellence Fellowship, 2014-2015, University of Tennessee, Knoxville
  • Outstanding Graduate Student Award, 2014, Beijing University of Technology, China
  • Outstanding Undergraduate Student Award, 2011, Beijing University of Technology, China