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
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Conference PaperExpScore: Learning Metrics for Recommendation Explanation (2022)ACM Web Conference 2022
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Conference PaperHas CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search (2021)AAAI Conference on Artificial Intelligence
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Conference PaperTowards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features (2021)Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2021)
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Journal Article, Academic JournalSenCAPTCHA: A Mobile-First CAPTCHA Using Orientation Sensors (2020)Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (2020), 4(2)
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Journal Article, Academic JournalTowards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems (2020)IEEE Transactions on Mobile Computing (2020)
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Conference PaperTowards personalized privacy-preserving incentive for truth discovery in crowdsourced binary-choice question answering (2020)IEEE Conference on ComputerCommunications (INFOCOM)
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Conference PaperThe world wants mangoes and kangaroos: A study of new emoji requests based on thirty million tweets (2019)The World Wide Web Conference (WWW), pp. 2722–2728
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Journal Article, Academic JournalAirmouse: Turning a pair of glasses into a mouse in the air (2019)IEEE Internet of Things Journal
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Conference PaperChasing total solar eclipses on twitter: Big social data analytics in once-in-a-lifetime events (2019)2019 IEEE Global Communications Conference (GLOBECOM)
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Journal Article, Academic JournalDeepwelding: a deep learning enhanced approach to gtaw using multi-source sensing images (2019)IEEE Transactions on Industrial Informatics
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Conference PaperTwo-level index for truss community query in large-scale graph (2019)2019 IEEE Global Communications Conference (GLOBECOM)
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Journal Article, Academic JournalA multi-granularity perspective for spatial profiling of mobile apps (2018)Information Sciences, 430(Unknown Issue), pp. 127-141
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Conference PaperInferring 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, 1(4)
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Conference PaperSecure sharing of private locations through homomorphic bloom filters (2018)2018 IEEE 4th International Conference on Big Data Security on Cloud (BigDataSecurity), pp. 107-113
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Journal Article, Academic JournalApproximate and sublinear spatial queries for large-scale vehicle networks (2017)IEEE Transactions on Vehicular Technology (TVT), 67(2), pp. 1561-1569
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Conference PaperDecentralized search for shortest path approximation in large-scale complex networks (2017)2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), pp. 130-137
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Journal Article, Academic JournalUnifying Telescope and Microscope: A Multi-lens Framework with Open Data for Modeling Emerging EventsJournal of Information Processing & Management Editor: Chirag Shah
Presentations
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University of Washington at TREC 2020 Fairness Ranking Track
(2020)
NIST’s Text REtrieval Conference (TREC) Conference - Virtual