About Me

I graduated with a Ph.D. degree in Computer Science from the School of Computing at University of Utah in 2022. My research area is in data sketches, system ML, security via SGX, and blockchain. I'm co-advised by Feifei Li and Jeff Phillips.

Education

Publications

  1. Constrained Non-Affine Alignment of Embedding
    By Yuwei Wang, Yan Zheng, Yanqing Peng, Michael Yeh, Zhongfang Zhuang, Das Mahashweta, Bendre Mangesh, Feifei Li, Wei Zhang and Jeff Phillips
    In Proceedings of 21st IEEE International Conference on Data Mining (ICDM 2021), pages TBD, Auckland, New Zealand, December 2021.
  2. VeriDB: An SGX-based Verifiable Database
    By Wenchao Zhou, Yifan Cai, Yanqing Peng, Sheng Wang, Ke Ma and Feifei Li
    In Proceedings of 40th ACM SIGMOD International Conference on Management of Data (SIGMOD 2021), pages TBD, Xi'an, China, June 2021.
  3. At-the-time and Back-in-time Persistent Sketches
    By Benwei Shi, Zhuoyue Zhao, Yanqing Peng, Feifei Li and Jeff Phillips
    In Proceedings of 40th ACM SIGMOD International Conference on Management of Data (SIGMOD 2021), pages TBD, Xi'an, China, June 2021.
  4. 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.
  5. 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
  6. 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.
  7. 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
  8. 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.
  9. 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.
  10. 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.
  11. 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

Research Experience