guest@yingtai:~$ cat cv.md

Yingtai Xiao

Research Scientist · Privacy Innovation Lab @ TikTok

yingtai.xiao1@bytedance.com Publications GitHub

01Education

Ph.D. in Computer Science and Engineering

2019 – 2024
The Pennsylvania State University, University Park, PA
  • Advisors: Prof. Daniel Kifer and Prof. Danfeng Zhang
  • Research focus: differential privacy, database query optimization

B.S. in Mathematics

2015 – 2019
University of Science and Technology of China (USTC), Hefei, China
  • Supervised by Prof. Juyong Zhang

02Experience

Research Scientist

Jun 2024 – Present
Privacy Innovation Lab, TikTok · San Jose, CA
  • Privacy-preserving technologies for advertising and measurement
  • Differential privacy research and its production applications

Research Intern

Summer 2023
Privacy Innovation Lab, TikTok · San Jose, CA
  • Built an online advertising measurement system under user-level differential privacy

Research Intern

Summer 2022
JD.com · Beijing, China
  • Built a three-party secure multiparty computation framework for deep learning

Visiting Research Assistant

Nanyang Technological University · Singapore
  • Supervised by Dr. Yong Liu; research on interactive recommendation

03Publications

  1. NeurIPS
    An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions
    Yingtai Xiao, Guanlin He, Danfeng Zhang, Daniel Kifer
    Conference on Neural Information Processing Systems (NeurIPS 2023) Spotlight
  2. VLDB
    Answering Private Linear Queries Adaptively using the Common Mechanism
    Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer
    Proc. of the 49th International Conference on Very Large Data Bases (VLDB 2023)
  3. VLDBJ
    Free Gap Estimates from the Exponential Mechanism, Sparse Vector, Noisy Max and Related Algorithms
    Zeyu Ding, Yuxin Wang, Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer
    The VLDB Journal, 2022
  4. VLDB
    Optimizing Fitness-For-Use of Differentially Private Linear Queries
    Yingtai Xiao, Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer
    Proc. of the 47th International Conference on Very Large Data Bases (VLDB 2021)
  5. CCS
    DPGen: Automated Program Synthesis for Differential Privacy
    Yuxin Wang, Zeyu Ding, Yingtai Xiao, Daniel Kifer, Danfeng Zhang
    Proc. of the ACM Conference on Computer and Communications Security (CCS 2021)
  6. AAAI
    Diversified Interactive Recommendation with Implicit Feedback
    Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang
    The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)

04Service & Teaching

Conference Reviewer

  • KDD 2023
  • NeurIPS 2023, 2024
  • ICML 2023
  • ICLR 2024
  • AISTATS 2023, 2024

Teaching

  • Head Teaching Assistant, CMPSC 461 Programming Language Concepts, Penn State (Fall 2021)

05Research Interests

Differential PrivacyDatabase Query OptimizationPrivacy-Preserving Machine LearningAdvertising MeasurementProgram Synthesis