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20182026
most citedDeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale

56 citations · 137 across the 31 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs

Haozhe Zhao, Shuzheng Si, Zhenhailong Wang +6

Scientific figures are among the most effective means of communicating complex research ideas, yet producing publication-quality illustrations remains one of the most labor-intensi…

cs.CV2025

MENTOR: Efficient Multimodal-Conditioned Tuning for Autoregressive Vision Generation Models

Haozhe Zhao, Zefan Cai, Shuzheng Si +5

Recent text-to-image models produce high-quality results but still struggle with precise visual control, balancing multimodal inputs, and requiring extensive training for complex m…

cs.CV2024★ 1 cited

UltraEdit: Instruction-based Fine-Grained Image Editing at Scale

Haozhe Zhao, Xiaojian Ma, Liang Chen +7

This paper presents UltraEdit, a large-scale (approximately 4 million editing samples), automatically generated dataset for instruction-based image editing. Our key idea is to addr…

cs.CV2023★ 10 cited

RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model

Fengxiang Bie, Yibo Yang, Zhongzhu Zhou +10

Text-to-image generation (TTI) refers to the usage of models that could process text input and generate high fidelity images based on text descriptions. Text-to-image generation us…

cs.CV2018★ 3 cited

Zoom: SSD-based Vector Search for Optimizing Accuracy, Latency and Memory

Minjia Zhang, Yuxiong He

With the advancement of machine learning and deep learning, vector search becomes instrumental to many information retrieval systems, to search and find best matches to user querie…