Publications

You can also find my articles on my Google Scholar profile.

Conferences:

  • Y. Liang*, R. Huang*, L. Lai, N. Shroff, Y. Liang. Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models. In The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.
  • Y. Liang, Y. Liang, L. Lai, N. Shroff. Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees. In The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.
  • Y. Liang, P. Ju, Y. Liang, N. Shroff. Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers. In The Thirteenth International Conference on Learning Representations (ICLR), 2025.
  • Y. Liang, P. Ju, Y. Liang, N. Shroff. Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach. In The Thirteenth International Conference on Learning Representations (ICLR), 2025.
  • J. Z. Hare, Y. Liang, L. Kaplan, V. V. Veeravalli. On Network Quickest Change Detection with Uncertain Models: An Experimental Study. In 27th International Conference on Information Fusion (FUSION), 2024.
  • L. Xie*, Y. Liang*, V. V. Veeravalli. Distributionally Robust Quickest Change Detection. In The Twenty-seventh International Conference on Artificial Intelligence and Statistics (AISTATS), 2024. (*Equal Contribution)
  • Y. Liang, V. V. Veeravalli. Quickest Change Detection with Leave-one-out Density Estimation. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023.
  • Y. Liang, V. V. Veeravalli. Quickest Detection of Composite and Non-Stationary Changes with Application to Pandemic Monitoring. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022.
  • Y. Liang, V. V. Veeravalli. Non-Parametric Quickest Detection of a Change in the Mean. In 55th Annual Conference on Information Sciences and Systems (CISS), 2021.

Journals:

  • J. Z. Hare*, Y. Liang*, L. Kaplan, V. V. Veeravalli. Bayesian Two-Sample Hypothesis Testing using the Uncertain Likelihood Ratio. In IEEE Transactions on Signal Processing, 2025. (*Equal Contribution)
  • Y. Liang, V. V. Veeravalli. Quickest Change Detection with Post-Change Density Estimation. In IEEE Transactions on Information Theory, 2024.
  • Y. Liang, A. G. Tartakovsky, V. V. Veeravalli. Quickest Change Detection with Non-Stationary Post-Change Observations. In IEEE Transactions on Information Theory, 2023.
  • Y. Liang, V. V. Veeravalli. Non-Parametric Quickest Mean-Change Detection. In IEEE Transactions on Information Theory, 2022.