| Jan 25, 2026 | A new paper for simultaneous supervised dimension reduction and regression in multimodal data is now on arxiv. Motivated by renal imaging studies (combining renogram curves with covariates), the approach is designed to effectively handle intermodal correlations. |
| Dec 6, 2025 | I presented my dynamic pricing paper at NeurIPS MLxOR workshop. Under the covariate shift and local differential privacy, we use pessimistic value-based off-policy learning algorithm for continuous treatment (pricing) assignment policy. |
| Nov 10, 2025 | My paper has been published in the Journal of Machine Learning Research! 🎉 We propose private permutation-based two-sample tests incorporating U-statistic and Google’s RAPPOR mechanism, and we derive the minimax rates that characterize the privacy–utility trade-off. |
| May 26, 2025 | My first paper as a PhD student is now on arXiv! We propose an efficient iterative high-dimensional clustering algorithm that bypasses model parameter estimation. |
| Nov 24, 2024 | My collaboration on detecting sex differences in autism using brain connectome data is accepted by NeuroImage! I contributed by using a generative model to enhance testing power. |
| Nov 1, 2024 | A paper accepted by Computational Statistics & Data Analysis! I developed a theory on using a generative model to enhance classifier performance. |
| Feb 13, 2024 | My collaboration on predicting wildfires in military artillery training is accepted by the Journal of Classification! I contributed by leveraging a generative model to improve classification performance. . |
| Feb 1, 2024 | My collaborative work on the soft neural probe has been accepted by Nature Communications! I contributed by applying spectral clustering for neural spike sorting and performing high-dimensional neural signal testing to evaluate probe performance. |
| Aug 21, 2023 | I started my PhD at USC. Go Trojans! |