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Profil bibliographique

Yixiang Zhou

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

5Publications signalées
0Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Generative Adversarial Networks and Image SynthesisHuman Pose and Action RecognitionAnomaly Detection Techniques and ApplicationsTime Series Analysis and ForecastingHuman Motion and Animation

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

MoWorld: A Flash World Model

Team Moxin, Deyi Ji, Tianrun Chen, Xin Zhang et autres

The future of World Models depends not only on scaling model capability, but also on scaling practicality and inference efficiency. High-frame-rate inference enables responsive perception, planning, and control in real-world autonomous systems. To this end, we present MoWorld, a cost-effective yet high-performance …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

MoWorld: A Flash World Model

Team Moxin, Deyi Ji, Tianrun Chen, Xin Zhang et autres

The future of World Models depends not only on scaling model capability, but also on scaling practicality and inference efficiency. High-frame-rate inference enables responsive perception, planning, and control in real-world autonomous systems. To this end, we present MoWorld, a cost-effective yet high-performance …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Mean Flow Distillation: Robust and Stable Distillation for Flow Matching Models

An Zhao, Shengyuan Zhang, Zhongjian Sun, Yixiang Zhou et autres

Flow Matching models have demonstrated strong performance across a wide range of generative tasks. However, their reliance on ODE-based iterative sampling incurs substantial computational overhead in inference, which limits their applicability in real-time scenes. While distillation is a promising solution, existing approaches …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Mean Flow Distillation: Robust and Stable Distillation for Flow Matching Models

An Zhao, Shengyuan Zhang, Zhongjian Sun, Yixiang Zhou et autres

Flow Matching models have demonstrated strong performance across a wide range of generative tasks. However, their reliance on ODE-based iterative sampling incurs substantial computational overhead in inference, which limits their applicability in real-time scenes. While distillation is a promising solution, existing approaches …

cn, us (code pays fourni par la source)

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Exploiting contextual information to improve stance detection in informal political discourse with LLMs

Arman Engin Sucu, Yixiang Zhou, Mario A. Nascimento, Tony Mullen

This study investigates the use of Large Language Models (LLMs) for political stance detection in informal online discourse, where language is often sarcastic, ambiguous, and context-dependent. We explore whether providing contextual information, specifically user profile summaries derived from historical posts, can improve …

0 citations arXiv (Cornell University)

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