Published 'Split Knockoffs for Multiple Comparisons: Controlling the Directional False Discovery Rate' in Journal of the American Statistical Association (JASA, 2024)
Published 'Controlling the False Discovery Rate in Transformational Sparsity: Split Knockoffs' in Journal of the Royal Statistical Society: Series B (JRSSB, 2024)
Paper accepted at NeurIPS 2025 on reliable prompt selection for visual in-context learning
Published at AISTATS 2025 on heterogeneous sparsity in neuroimaging via differential inclusion
Paper accepted at ICLR 2025 on adaptive pruning of pretrained Transformers using differential inclusions
Two papers published in IEEE TPAMI 2023: one on clean sample selection with noisy labels (Knockoffs-SPR), and another on structural sparsity in deep networks
Published 'Perturbed Amplitude Flow for Phase Retrieval' in IEEE Transactions on Signal Processing (2020)
Published 'Boosting with Structural Sparsity: A Differential Inclusion Approach' in Applied and Computational Harmonic Analysis (2020)
Presented 'Sparse Learning in AI: A Differential Inclusion Perspective' at ACM Turing Award Celebration Conference-China 2023