Yunhe Feng

yunhefeng at

About me

I'm a fifth-year 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). I am looking for a postdoctoral position to start during spring or early summer of 2020.

Published Papers

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)
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.
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.
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)
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: 5.863)
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%)
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)
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)
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%)
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)
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)

Competitions and Workshops

Y. Feng and W. Zhou
NIMBioS/Syngenta Workshop: Applying Optimization Techniques to Agricultural Problems hosted by National Institute for Mathematical and Biological Synthesis (NIMBioS)
May, 2017.
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]

Internship & Teaching Experience

Deep Learning Research Intern at Oak Ridge National Laboratory, Oak Rridge, TN
May - August, 2018.
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 2019 IEEE Global Communications Conference: Communication & Information Systems Security (2019)
  • Reviewer for the International Journal of Forecasting (2019)
  • External referee for the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 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)
  • Reviewer for the 2016 International Conference on Information Systems (ICIS 2016)
  • Programming skills:
  • Honors & Awards

  • Min H. Kao Electrical and Computer Engineering 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