Depeng Liu (刘德鹏)'s Homepage

Contact

  • Office: No. 621, Room 339, Building 5
  • Address: South Fourth Street 4#, Zhong Guan Cun, Beijing
  • email: liudp###ios**ac*cn

About me

I have graduated as a Ph.D. student in the group. My main research interests are:

  • Algorithmic Learning
  • Differential Privacy
  • Formal Verification

Tools

Education

Publications

  • Depeng Liu, Bow-Yaw Wang, Chen Fu, Lijun Zhang: Model checking differentially private properties. In Theor. Comput. Sci. 943:153-170, 2023. DOI BIB
  • Depeng Liu, Bow-Yaw Wang, Lijun Zhang: Verifying Pufferfish Privacy in Hidden Markov Models. In Verification, Model Checking, and Abstract Interpretation - 23rd International Conference, VMCAI 2022, Philadelphia, PA, USA, January 16-18, 2022, Proceedings, volume 13182 of Lecture Notes in Computer Science, pages 174-196, 2022. DOI BIB
  • Song Gao, Bohua Zhan (), Depeng Liu, Xuechao Sun, Yanan Zhi, David N. Jansen (), Lijun Zhang: Formal Verification of Consensus in the Taurus Distributed Database. In Formal Methods - 24th International Symposium, FM 2021, Virtual Event, November 20-26, 2021, Proceedings, volume 13047 of Lecture Notes in Computer Science, pages 741-751, 2021. DOI BIB
  • Yong Li, Yu-Fang Chen (), Lijun Zhang, Depeng Liu: A novel learning algorithm for Büchi automata based on family of DFAs and classification trees. In Inf. Comput. 281:104678, 2021. DOI BIB
  • Depeng Liu, Bow-Yaw Wang, Lijun Zhang: Model Checking Differentially Private Properties. In Programming Languages and Systems - 16th Asian Symposium, APLAS 2018, Wellington, New Zealand, December 2-6, 2018, Proceedings, volume 11275 of Lecture Notes in Computer Science, pages 394-414, 2018. DOI BIB
  • Yong Li, Yu-Fang Chen (), Lijun Zhang, Depeng Liu: A Novel Learning Algorithm for Büchi Automata Based on Family of DFAs and Classification Trees. In Tools and Algorithms for the Construction and Analysis of Systems - 23rd International Conference, TACAS 2017, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2017, Uppsala, Sweden, April 22-29, 2017, Proceedings, Part I, volume 10205 of Lecture Notes in Computer Science, pages 208-226, 2017. DOI BIB