Audience Tools

Yunhe Feng

CV Postdoctoral Scholar
yunhe@uw.edu
Mary Gates Hall 310 DATA LAB

Specializations

  • Big Data Analytics, Mining, and Modeling
  • Usable Privacy and Security for Mobile Devices
  • Deep Learning for Social Good

Research Areas

Biography

Yunhe Feng is a Postdoctoral Scholar with Professor Chirag Shah in the Information School at the University of Washington. Yunhe obtained the B.E. and M.E. degree from Beijing University of Technology, China, and the Ph.D. degree in Computer Science from the University of Tennessee, Knoxville, USA. His research interest lies in Data Mining and Knowledge Discovery, Mobile Usable Security and Privacy, Machine Learning, Human-Computer Interaction (HCI), Mobile Computing, and IoT. He has received several fellowships and awards, including the Min H. Kao Fellowship, UT EECS Department Excellence Fellowship, Kaggle's Open Data Research Grant Award, Google Cloud COVID-19 Research Credits Award, and a Best Paper Award by the IEEE BigDataSecurity 2018. Yunhe's research has been covered internationally by news outlets, including Financial Times, TNW, Business Insider, and Yahoo! Finance.

Education

  • Ph D, Computer Science, The University of Tennessee, Knoxville, 2020
  • MS, Computer Technology, Beijing University of Technology, 2014
  • BS, Computer Science & Technology, Beijing University of Technology, 2011

Awards

  • Min H. Kao Fellowship - The University of Tennessee, Knoxville, 2019-2020
  • Kaggle’s Open Data Research Grant Winner, 2020
  • Gonzalez Family Awards (Outstanding Graduate Research Assistant) - The University of Tennessee, Knoxville, 2018-2019
  • HonorableMention for Best Paper - CloudCom, 2017
  • EECS Department Excellence Fellowship - The University of Tennessee, Knoxville, 2014-2015
  • Third-Prize - 14th China National Robotics Championship FIRA Simulation Competition, 2012
  • Third-Prize - RoboCup (RobotWorld Cup) China Open 2012 Simulation 2D Group, 2012
  • The Graduate Student Senate (GSS) Travel Awards - The University of Tennessee, Knoxville, 2019
  • Best Paper Award - BigDataSecurity, 2018

Publications and Contributions

  • Conference Paper
    Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features (2021)
    Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2021) Authors: Chirag Shah, Yunhe Feng, Daniel Saelid, Ke Li, Ruoyan Gao
  • Journal Article, Academic Journal
    SenCAPTCHA: A Mobile-First CAPTCHA Using Orientation Sensors (2020)
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (2020), Volume 4, Issue 2 Authors: Yunhe Feng, Qing Cao, Hairong Qi, Scott Ruoti
  • Journal Article, Academic Journal
    Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems (2020)
    IEEE Transactions on Mobile Computing (2020) Authors: Peng Sun, Zhibo Wang, Liantao Wu, Yunhe Feng, Xiaoyi Pang, Hairong Qi, Zhi Wang
  • Conference Paper
    Towards personalized privacy-preserving incentive for truth discovery in crowdsourced binary-choice question answering (2020)
    IEEE Conference on ComputerCommunications (INFOCOM) Authors: Peng Sun, Zhibo Wang, Liantao Wu, Yunhe Feng, Xiaoyi Pang, Hairong Qi, Zhi Wang
  • Conference Paper
    The world wants mangoes and kangaroos: A study of new emoji requests based on thirty million tweets (2019)
    The World Wide Web Conference (WWW), Page 2722–2728 Authors: Yunhe Feng, Wenjun Zhou, Zheng Lu, Zhibo Wang, Qing Cao
  • Journal Article, Academic Journal
    Airmouse: Turning a pair of glasses into a mouse in the air (2019)
    IEEE Internet of Things Journal Authors: Zhibo Wang, Yijie Li, Bonan Jin, Qian Wang, Yunhe Feng, Yanjun Li, Huajie Shao
  • Conference Paper
    Chasing total solar eclipses on twitter: Big social data analytics in once-in-a-lifetime events (2019)
    2019 IEEE Global Communications Conference (GLOBECOM) Authors: Yunhe Feng, Zheng Lu, Zhonghua Zheng, Peng Sun, Wenjun Zhou, Ran Huang, Qing Cao
  • Journal Article, Academic Journal
    Deepwelding: a deep learning enhanced approach to gtaw using multi-source sensing images (2019)
    IEEE Transactions on Industrial Informatics Authors: Yunhe Feng, Zongyao Chen, Dali Wang, Jian Chen, Zhili Feng
  • Conference Paper
    Two-level index for truss community query in large-scale graph (2019)
    2019 IEEE Global Communications Conference (GLOBECOM) Author: Yunhe Feng
  • Journal Article, Academic Journal
    A multi-granularity perspective for spatial profiling of mobile apps (2018)
    Information Sciences, Volume 430, Page 127-141 Authors: Yunhe Feng, Zheng Lu, Wenjun Zhou, Qing Cao, Xiaolin Li
  • Conference Paper
    Inferring correlation between user mobility and app usage in massive coarse-grained data traces (2018)
    Proceedings of the ACM on Interactive, Mobile,Wearable and Ubiquitous Technologies (the new publicationmodel of UbiComp, Volume 1, Issue 4 Authors: Zheng Lu, Yunhe Feng, Wenjun Zhou, Xiaolin Li, Qing Cao
  • Conference Paper
    Secure sharing of private locations through homomorphic bloom filters (2018)
    2018 IEEE 4th International Conference on Big Data Security on Cloud (BigDataSecurity), Page 107-113 Authors: Yunhe Feng, Zheng Lu, Qing Cao
  • Journal Article, Academic Journal
    Approximate and sublinear spatial queries for large-scale vehicle networks (2017)
    IEEE Transactions on Vehicular Technology (TVT), Volume 67, Issue 2, Page 1561-1569 Authors: Lipeng Wan, Zhibo Wang, Zheng Lu, Yunhe Feng, Hairong Qi, Wenjun Zhou, Qing Cao
  • Conference Paper
    Decentralized search for shortest path approximation in large-scale complex networks (2017)
    2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Page 130-137 Authors: Zheng Lu, Yunhe Feng, Qing Cao

Presentations

  • University of Washington at TREC 2020 Fairness Ranking Track (2020)
    NIST’s Text REtrieval Conference (TREC) Conference - Virtual