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cs.LG2026★ 17 cited
Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise
Hongyuan Zhang, Yanchen Xu, Sida Huang +1
Inspired by the idea of Positive-incentive Noise (Pi-Noise or -Noise) that aims at learning the reliable noise beneficial to tasks, we scientifically investigate the connection…
cs.LG2025
Rectified Noise: A Generative Model Using Positive-incentive Noise
Zhenyu Gu, Yanchen Xu, Sida Huang +2
Rectified Flow (RF) has been widely used as an effective generative model. Although RF is primarily based on probability flow Ordinary Differential Equations (ODE), recent studies…
cs.LG2025
CoLM: Collaborative Large Models via A Client-Server Paradigm
Siqi Huang, Sida Huang, Hongyuan Zhang
Large models have achieved remarkable performance across a range of reasoning and understanding tasks. Prior work often utilizes model ensembles or multi-agent systems to collabora…