Search Results for author: Ziyang Zheng

Found 7 papers, 5 papers with code

Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance

1 code implementation3 Feb 2024 Xinyu Peng, Ziyang Zheng, Wenrui Dai, Nuoqian Xiao, Chenglin Li, Junni Zou, Hongkai Xiong

In this paper, we propose the first unified interpretation for existing zero-shot methods from the perspective of approximating the conditional posterior mean for the reverse diffusion process of conditional sampling.

Non-Cross Diffusion for Semantic Consistency

no code implementations30 Nov 2023 Ziyang Zheng, Ruiyuan Gao, Qiang Xu

In diffusion models, deviations from a straight generative flow are a common issue, resulting in semantic inconsistencies and suboptimal generations.

GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation

1 code implementation ICCV 2023 Jiewen Yang, Xinpeng Ding, Ziyang Zheng, Xiaowei Xu, Xiaomeng Li

This paper studies the unsupervised domain adaption (UDA) for echocardiogram video segmentation, where the goal is to generalize the model trained on the source domain to other unlabelled target domains.

Graph Matching Segmentation +3

GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation

1 code implementation20 Sep 2023 Ziyang Zheng, Jiewen Yang, Xinpeng Ding, Xiaowei Xu, Xiaomeng Li

Additionally, a Multi-view Local-based Fusion Module (MLFM) is designed to extract correlations of cardiac structures from different views.

Video Segmentation Video Semantic Segmentation

Dual adaptive training of photonic neural networks

1 code implementation9 Dec 2022 Ziyang Zheng, Zhengyang Duan, Hang Chen, Rui Yang, Sheng Gao, Haiou Zhang, Hongkai Xiong, Xing Lin

Photonic neural network (PNN) is a remarkable analog artificial intelligence (AI) accelerator that computes with photons instead of electrons to feature low latency, high energy efficiency, and high parallelism.

Image Classification

Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks

1 code implementation25 Apr 2022 Ziyang Zheng, Wenrui Dai, Duoduo Xue, Chenglin Li, Junni Zou, Hongkai Xiong

This framework is general to endow arbitrary DNNs for solving linear inverse problems with convergence guarantees.

Compressive Sensing

All-optical graph representation learning using integrated diffractive photonic computing units

no code implementations23 Apr 2022 Tao Yan, Rui Yang, Ziyang Zheng, Xing Lin, Hongkai Xiong, Qionghai Dai

Photonic neural networks perform brain-inspired computations using photons instead of electrons that can achieve substantially improved computing performance.

Graph Representation Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.