publications

more to come:)

2026

2026

  1. ICLR Workshop
    ReDiTT: Retrieval Augmented Conditional Diffusion Transformers for Asynchronous Time Series
    Saiyue Lyu, Ruizhi Deng, Thibaut Durand, and Zhitian Zhang
    1st Time Series in the Age of Large Models (TSALM) Workshop at ICLR, 2026
    PDF Poster

2025

2025

  1. ICML WorkshopOral
    Adaptive Diffusion Denoised Smoothing: Certified Robustness via Randomized Smoothing with Differentially Private Guided Denoising Diffusion
    Frederick Shpilevskiy, Saiyue Lyu, Krishnamurthy Dj Dvijotham, Mathias Lécuyer, and Pierre-André Noël
    2nd Test-Time Adaptation (PUT) Workshop at ICML, 2025
    PDF Poster

2024

2024

  1. NeurIPSSpotlight
    Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
    Saiyue Lyu *, Shadab Shaikh *, Frederick Shpilevskiy *, Evan Shelhamer, and Mathias Lécuyer
    Advances in Neural Information Processing Systems, 2024
    Spotlight Highlighted [Top 2% in 15671]
    PDF Code Poster Slides
  2. TMLR
    DP-LDMs: Differentially Private Latent Diffusion Models
    Michael F Liu *, Saiyue Lyu *, Margarita Vinaroz *, and Mijung Park
    Transactions on Machine Learning Research, 2024
    PDF Code
  3. CVPR Workshop
    Adaptive Randomized Smoothing for Certified Multi-Step Defence
    Shadab Shaikh, Saiyue Lyu, Frederick Shpilevskiy, Evan Shelhamer, and Mathias Lécuyer
    Test-Time Adaptation Workshop at CVPR, 2024
    PDF
  4. ICLR Workshop
    Differentially Private Latent Diffusion Models
    Saiyue Lyu *, Margarita Vinaroz *, Michael F Liu *, and Mijung Park
    Privacy Regulation and Protection in Machine Learning Workshop at ICLR, 2024
    PDF

2023

2023

  1. CSCW
    Exploring Temporal and Multilingual Dynamics of Post-Disaster Social Media Discourse: A Case of Fukushima Daiichi Nuclear Accident
    Saiyue Lyu, and Zhicong Lu
    In Proceedings of the ACM on Human-Computer Interaction (CSCW), 2023
    PDF

2022

2022

  1. Thesis
    Faster Algorithms for Sparse Decomposition and Sparse Series Solutions to Differential Equations
    Saiyue Lyu
    Master Thesis, 2022
    PDF