Machine Learning

Differential Privacy Mechanisms in Neural Tangent Kernel Regression (WACV 2025)

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers (Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2025)

A Multi-LLM Debiasing Framework (arXiv 2024)

Category-Aware Active Domain Adaptation (Forty-first International Conference on Machine Learning 2024)

Commit: Coordinated instruction tuning for multimodal large language models (arXiv 2024)

DocScript: Document-level Script Event Prediction (Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING) 2024)

Exploring the frontiers of softmax: Provable optimization, applications in diffusion model, and beyond (arXiv 2024)

Fast John Ellipsoid Computation with Differential Privacy Optimization (arXiv 2024)

LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models (arXiv 2024)

MMR: Evaluating Reading Ability of Large Multimodal Models (arXiv 2024)