Hongyi Henry Jin — accepted AI-conference papers

2026

Phased One-Step Adversarial Equilibrium for Video Diffusion Models

Jiaxiang Cheng, Bing Ma, Xuhua Ren, Hongyi Henry Jin, Kai Yu, Peng Zhang +4

AAAI 2026technical

Video diffusion generation suffers from critical sampling efficiency bottlenecks, particularly for large-scale models and long contexts. Existing video acceleration methods, adapted from image-based techniques, lack a single-step distillation ability for large-scale video models and task generalizat

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2025

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles

Hongyi Henry Jin, Zijun Ding, Dung Daniel Ngo, Steven Wu

NeurIPS 2025poster

In recent years, multicalibration has emerged as a desirable learning objective for ensuring that a predictor is calibrated across a rich collection of overlapping subpopulations. Existing approaches typically achieve multicalibration by discretizing the predictor's output space and iteratively adju…

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