Search Results for author: Yongxin Zhu

Found 6 papers, 1 papers with code

Bitformer: An efficient Transformer with bitwise operation-based attention for Big Data Analytics at low-cost low-precision devices

no code implementations22 Nov 2023 Gaoxiang Duan, Junkai Zhang, Xiaoying Zheng, Yongxin Zhu

By forging this innovative path, we bridge the gap between high-performing models and resource-scarce environments, thus unveiling a promising trajectory for further advancements in the field.

Edge-computing

DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation

no code implementations26 Oct 2023 Yongxin Zhu, Zhujin Gao, Xinyuan Zhou, Zhongyi Ye, Linli Xu

While Diffusion Generative Models have achieved great success on image generation tasks, how to efficiently and effectively incorporate them into speech generation especially translation tasks remains a non-trivial problem.

Image Generation Speech-to-Speech Translation +1

Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA

no code implementations4 Apr 2023 Yongxin Zhu, Zhen Liu, Yukang Liang, Xin Li, Hao liu, Changcun Bao, Linli Xu

Different to conventional STVQA models which take the linguistic semantics and visual semantics in scene text as two separate features, in this paper, we propose a paradigm of "Locate Then Generate" (LTG), which explicitly unifies this two semantics with the spatial bounding box as a bridge connecting them.

Answer Generation Language Modelling +3

Difformer: Empowering Diffusion Models on the Embedding Space for Text Generation

1 code implementation19 Dec 2022 Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu

Diffusion models have achieved state-of-the-art synthesis quality on both visual and audio tasks, and recent works further adapt them to textual data by diffusing on the embedding space.

Denoising Machine Translation +2

Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation

no code implementations22 May 2022 Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu

The task of Grammatical Error Correction (GEC) has received remarkable attention with wide applications in Natural Language Processing (NLP) in recent years.

Grammatical Error Correction Sentence

Handling noise in image deblurring via joint learning

no code implementations27 Jan 2020 Si Miao, Yongxin Zhu

Currently, many blind deblurring methods assume blurred images are noise-free and perform unsatisfactorily on the blurry images with noise.

Deblurring Denoising +1

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