About Me

I’m a fifth year Ph.D. student in Computer Science. My research area is in data sketches, system ML, security via SGX, and blockchain. My advisor is Feifei Li.
I’ll be on the job market starting Summer 2021 and I’m expecting to graduate by Spring 2022.
Education
- PhD student in Computer Science, University of Utah (2016-present)
- Bachelor in Computer Science, ACM Honored Class, Shanghai Jiao Tong University (2012-2016)
Publications
- At-the-time and Back-in-time Persistent Sketches
By Benwei Shi, Zhuoyue Zhao, Yanqing Peng, Feifei Li and Jeff Philips
In Proceedings of 40th ACM SIGMOD International Conference on Management of Data (SIGMOD 2021), pages TBD, Xi'an, China, June 2021. - FalconDB: Blockchain-based Collaborative Database
By Yanqing Peng, Min Du, Feifei Li, Raymond Cheng and Dawn Song
In Proceedings of 39th ACM SIGMOD International Conference on Management of Data (SIGMOD 2020), pages 2027-2042, Portland, USA, June 2020. - Two-Level Data Compression using Machine Learning in Time Series Database
By Xinyang Yu, Yanqing Peng, Feifei Li, Sheng Wang, Xiaowei Shen, Huijun Mai and Yue Xie
In Proceedings of 35th IEEE International Conference on Data Engineering (ICDE 2020), pages 1370-1381, Dallas. USA, April, 2020 - Feature Detection and Attenuation in Embeddings
By Yuwei Wang, Yan Zheng, Yanqing Peng, Wei Zhang and Feifei Li
In arXiv:1910.05862 - ARETE: On Designing Joint Online Pricing and Reward Sharing Mechanisms for Mobile Data Markets
By Zhenzhe Zheng, Yanqing Peng, Fan Wu, Shaojie Tang and Guihai Chen
In IEEE Transactions on Mobile Computing (TMC 2019), Volume 19, Issue 4, Pages 769-787, February 2019. - Bursty Event Detection Throughout Histories
By Debjyoti Paul, Yanqing Peng and Feifei Li
In Proceedings of 34th IEEE International Conference on Data Engineering (ICDE 2019), pages 1370-1381, Macau, China. April, 2019 - Persistent Bloom Filter: Membership Testing for the Entire History
By Yanqing Peng, Jinwei Guo, Feifei Li, Weining Qian and Aoying Zhou
In Proceedings of 37th ACM SIGMOD International Conference on Management of Data (SIGMOD 2018), pages 1037–1052, Houston, USA, June 2018. - An Online Pricing Mechanism for Mobile Crowdsensing Data Markets
By Zhenzhe Zheng, Yanqing Peng, Fan Wu, Shaojie Tang and Guihai Chen
In Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2017), Madras, Chennai, India, Jul. 10-13, 2017. - ClickNP: Highly flexible and High-performance Network Processing with Reconfigurable Hardware
By Bojie Li, Kun Tan, Layong (Larry) Luo, Yanqing Peng, Renqian Luo, Ningyi Xu, Yongqiang Xiong and Peng Cheng
In Proceedings of the 2016 ACM SIGCOMM Conference (SIGCOMM 2016), pages 1–-14, Florianópolis, Brazil, August 2016. - Trading Data in the Crowd: Profit-Driven Data Acquisition for Mobile Crowdsensing
By Zhenzhe Zheng, Yanqing Peng, Fan Wu, Shaojie Tang and Guihai Chen
In IEEE Journal on Selected Areas in Communications (JSAC 2016) Special Issue on Game Theory for Networks, Volume 34, Issue 10, Pages 2589-2604, October 2016.
Awards
- Google PhD Fellowship (2020)
Research Experience
- Research Assistant: Shanghai Jiao Tong University (2014-2016), University of Utah (2016-present)
- Visiting Student: East China Normal University (2017), UC Berkeley (2019)
- Intern: Microsoft Research Asia (2015-2016), Microsoft Research (2018), Alibaba U.S. (2019), Facebook (2020) deferred due to COVID-19