| Youtube-vos: A large-scale video object segmentation benchmark N Xu, L Yang, Y Fan, D Yue, Y Liang, J Yang, T Huang arXiv preprint arXiv:1809.03327, 2018 | 752 | 2018 |
| Youtube-vos: Sequence-to-sequence video object segmentation N Xu, L Yang, Y Fan, J Yang, D Yue, Y Liang, B Price, S Cohen, T Huang Proceedings of the European conference on computer vision (ECCV), 585-601, 2018 | 658 | 2018 |
| Quickest change detection with non-stationary post-change observations Y Liang, AG Tartakovsky, VV Veeravalli IEEE Transactions on Information Theory 69 (5), 3400-3414, 2022 | 21 | 2022 |
| Non-asymptotic convergence of discrete-time diffusion models: New approach and improved rate Y Liang, P Ju, Y Liang, N Shroff arXiv preprint arXiv:2402.13901 1, 2024 | 18 | 2024 |
| Non-parametric quickest mean-change detection Y Liang, VV Veeravalli IEEE Transactions on Information Theory 68 (12), 8040-8052, 2022 | 18 | 2022 |
| Youtubevis dataset 2021 version N Xu, L Yang, J Yang, D Yue, Y Fan, Y Liang, TS Huang | 17 | 2021 |
| Broadening target distributions for accelerated diffusion models via a novel analysis approach Y Liang, P Ju, Y Liang, N Shroff arXiv preprint arXiv:2402.13901, 2024 | 11 | 2024 |
| Quickest change detection with leave-one-out density estimation Y Liang, VV Veeravalli ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 8 | 2023 |
| Distributionally robust quickest change detection using wasserstein uncertainty sets L Xie, Y Liang, VV Veeravalli International Conference on Artificial Intelligence and Statistics, 1063-1071, 2024 | 7 | 2024 |
| Non-Parametric Quickest Detection of a Change in the Mean of an Observation Sequence Y Liang, VV Veeravalli arXiv preprint arXiv:2101.05423, 2021 | 7 | 2021 |
| Quickest change detection with post-change density estimation Y Liang, VV Veeravalli IEEE Transactions on Information Theory 70 (11), 8072-8086, 2024 | 5 | 2024 |
| Quickest detection of composite and non-stationary changes with application to pandemic monitoring Y Liang, VV Veeravalli ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models Y Liang, R Huang, L Lai, N Shroff, Y Liang arXiv preprint arXiv:2506.02318, 2025 | 3 | 2025 |
| Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers Y Liang, P Ju, Y Liang, N Shroff arXiv preprint arXiv:2410.13746, 2024 | 3 | 2024 |
| Discrete diffusion models: Novel analysis and new sampler guarantees Y Liang, Y Liang, L Lai, N Shroff arXiv preprint arXiv:2509.16756, 2025 | 1 | 2025 |
| Bayesian Two-Sample Hypothesis Testing Using the Uncertain Likelihood Ratio: Improving the Generalized Likelihood Ratio Test JZ Hare, Y Liang, L Kaplan, VV Veeravalli IEEE Transactions on Signal Processing, 2025 | 1 | 2025 |
| On network quickest change detection with uncertain models: An experimental study JZ Hare, Y Liang, LM Kaplan, VV Veeravalli 2024 27th International Conference on Information Fusion (FUSION), 1-8, 2024 | 1 | 2024 |
| Quickest change detection with non-stationary and composite post-change distribution Y Liang | 1 | 2021 |
| Quickest change detection under post-change non-stationarity and uncertainty Y Liang University of Illinois at Urbana-Champaign, 2023 | | 2023 |
