Jiarui Fang — accepted AI-conference papers

2025

PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference

Jiarui Fang, Jinzhe Pan, Aoyu Li, Xibo Sun, WANG Jiannan

NeurIPS 2025poster

This paper presents PipeFusion, an innovative parallel methodology to tackle the high latency issues associated with generating high-resolution images using diffusion transformers (DiTs) models. PipeFusion partitions images into patches and the model layers across multiple GPUs. It employs a patch-…

Cited by 0 Source ↗code ↗Scholar ↗

2022

RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining

Hui Su, Weiwei Shi, Xiaoyu Shen, Zhou Xiao, Tuo Ji, Jiarui Fang +1

ACL 2022long

Large-scale pretrained language models have achieved SOTA results on NLP tasks. However, they have been shown vulnerable to adversarial attacks especially for logographic languages like Chinese. In this work, we propose RoCBert: a pretrained Chinese Bert that is robust to various forms of adversaria…

Cited by 37 Source ↗PDF ↗code ↗Scholar ↗