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Mingyu Liang

4 accepted papers

2026

LFQA-E: Carefully Benchmarking Long-form QA Evaluation

ICLR 2026poster

Long-Form Question Answering (LFQA) involves generating comprehensive, paragraph-level responses to open-ended questions, which poses a significant challenge for evaluation due to the richness of information and flexible response format. Existing LFQA-evaluation benchmarks often lack reference answe…

Cited by 0SourceScholar
2026

MeteGS:Meteorology-Guided Gaussian Splatting for Scene Rendering and Recovery in Adverse Weather Conditions

IJCAI 2026

3D Gaussian Splatting enables efficient, high-fidelity novel view synthesis with explicit Gaussians and differentiable rendering. However, adverse weather introduces rain streaks and droplets as well as volumetric scattering, producing view-dependent, spatially varying degradations that break the cl

Cited by 0Scholar
2026

Revisiting ML Training under Fully Homomorphic Encryption: Convergence Guarantees, Differential Privacy, and Efficient Algorithms

ICML 2026poster

We present the first theoretical convergence analysis of machine learning training under fully homomorphic encryption (FHE), combined with a differentially private (DP) training algorithm tailored to encrypted computation. Our approach improves computational efficiency over standard differentially p…

Cited by 0SourceScholar
2024

Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data

ICML 2024poster

The growing use of machine learning (ML) has raised concerns that an ML model may reveal private information about an individual who has contributed to the training dataset. To prevent leakage of sensitive data, we consider using differentially- private (DP), synthetic training data instead of real…

Cited by 1SourcePDFScholar