Publications

Theses

  • Statistical Inference on Structured Data: Sequences and Graphs
    Ziao Wang
    Ph.D. Dissertation, University of British Columbia, 2024
    [Paper]

  • Universal Graph Compression: Stochastic Block Models
    Ziao Wang
    Master Thesis, University of British Columbia, 2021
    [Paper]

Journal Publications

  • Efficient Algorithms for Attributed Graph Alignment with Vanishing Edge Correlation
    Ziao Wang, Weina Wang, Lele Wang
    published in IEEE Transactions on Information Theory, 2025
    [Paper]

  • Noisy Sorting Capacity
    Ziao Wang, Nadim Ghaddar, Banghua Zhu, Lele Wang
    published in IEEE Transactions on Information Theory, 2024
    [Paper]

  • Attributed Graph Alignment
    Ning Zhang, Ziao Wang, Weina Wang, Lele Wang
    published in IEEE Transactions on Information Theory, 2024
    [Paper]

  • Noisy Computing of the OR and MAX Functions
    Banghua Zhu*, Ziao Wang*, Nadim Ghaddar*, Jiantao Jiao, Lele Wang
    published in IEEE Journal on Selected Areas in Information Theory, 2024
    [Paper]

  • On the Feasible Region of Efficient Algorithms for Attributed Graph Alignment
    Ziao Wang, Ning Zhang, Weina Wang, Lele Wang
    published in IEEE Transactions on Information Theory, 2024
    [Paper]

  • Universal Graph Compression: Stochastic Block Models
    Alankrita Bhatt*, Ziao Wang*, Chi Wang, Lele Wang
    published in IEEE Transactions on Information Theory, 2024
    [Paper]

Conference Publications

  • Diffusion-Network Alignment: An Efficient Algorithm and Explicit Probability Bounds
    Ziao Wang, Lei Ying
    accepted to Conference on Learning Theory (COLT), 2026
    [Paper]

  • Test-Time Steering for Lossless Text Compression via Weighted Product of Experts
    Qihang Zhang, Muchen Li, Ziao Wang, Renjie Liao, Lele Wang
    published in Conference on Empirical Methods in Natural Language Processing (Findings), 2025
    [Paper]

  • Noisy Computing of the Threshold Function
    Ziao Wang, Nadim Ghaddar, Banghua Zhu, Lele Wang
    published in International Conference on Algorithmic Learning Theory (ALT), 2025
    [conference version] [arXiv version]

  • Efficient Algorithms for Attributed Graph Alignment with Vanishing Edge Correlation
    Ziao Wang, Weina Wang, Lele Wang
    published in Conference on Learning Theory (COLT), 2024
    [conference version] [arXiv version]

  • On the Optimal Bounds for Noisy Computing
    Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
    published in IEEE International Symposium on Information Theory (ISIT), 2023
    [Paper]

  • Variable-Length Insertion-Based Noisy Sorting
    Ziao Wang, Nadim Ghaddar, Banghua Zhu, Lele Wang
    published in IEEE International Symposium on Information Theory (ISIT), 2023
    [Paper]

  • Noisy Sorting Capacity
    Ziao Wang, Nadim Ghaddar, Lele Wang
    published in IEEE International Symposium on Information Theory (ISIT), 2022
    [Paper]

  • On the Feasible Region of Efficient Algorithms for Attributed Graph Alignment
    Ziao Wang, Ning Zhang, Weina Wang, Lele Wang
    published in IEEE International Symposium on Information Theory (ISIT), 2022
    [Paper]

  • Universal Graph Compression: Stochastic Block Models
    Alankrita Bhatt*, Ziao Wang*, Chi Wang, Lele Wang
    published in IEEE International Symposium on Information Theory (ISIT), 2021
    [Paper]

* represents equal contribution